Special Issue Vol. 9 Issue 1

1

Blockchain and Git Repositories for Sticky Policies Protected OOXML

Author 1: Grzegorz Spyra Author 2: William J Buchanan Author 3: Elias Ekonomou

The paper discusses possible cloud-based Information Rights Management (IRM) model extension with enhanced accountability for both a sticky policy and an attached data. This work compliments research on secure data sharing with Office Open XML (OOXML) package extended by a sticky policy in eXtensible Access Control Mark-up Language (XACML) format… Read full abstract & cite →

Sticky policies git repositories Blockchain

Abstract doi.org/10.14569/SpecialIssue.2018.090101 PDF

2

Coinspermia: A Cryptocurrency Unchained

Author 1: Thomas Portegys

The latency and throughput of blockchain-based cyrptocurrencies is a major concern for their suitability as mainstream currencies and as transaction processors in general. The prevalent proof-of-work scheme, exemplified by Bitcoin, is a deliberately laborious effort: the time and energy required to mine blocks makes the blockchain virtually immutable and assists… Read full abstract & cite →

Cryptocurrency Bitcoin peer-to-peer network distributed transactions quorum system blockchain

Abstract doi.org/10.14569/SpecialIssue.2018.090102 PDF

3

User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain

Author 1: Ajay Kumar Shrestha Author 2: Julita Vassileva Author 3: Ralph Deters

The tremendous technological advancement in the last few decades has brought many enterprises to collaborate in a better way while making intelligent decisions. The use of Information Technology tools in obtaining data of people’s everyday life from various autonomous data sources allowing unrestricted access to user data has emerged as… Read full abstract & cite →

Privacy user modeling blockchain data sharing stream latency memory consumption

Abstract doi.org/10.14569/SpecialIssue.2018.090103 PDF

4

Blockchain and Distributed Ledgers as Trusted Recordkeeping Systems

Author 1: Victoria L. Lemieux

Blockchains and distributed ledger technology promises trusted and immutable records in a wide variety of use cases involving recordkeeping, including real estate and healthcare. This paper presents a novel framework for evaluating the capability of innovative blockchain-based systems to deliver trustworthy recordkeeping based on archival science-an ancient science aimed at… Read full abstract & cite →

Archival science authenticity blockchain distributed ledger integrity reliability trust

Abstract doi.org/10.14569/SpecialIssue.2018.090104 PDF

5

Modeling Smart Contracts Activities: A Tensor based Approach

Author 1: Jeremy Charlier Author 2: Radu State Author 3: Jean Hilger

Smart contracts are autonomous software executing predefined conditions. Two of the biggest advantages of the smart contracts are secured protocols and transaction costs reduction. On the Ethereum platform, an open-source blockchain-based platform, smart contracts implement a distributed virtual machine on the distributed ledger. To avoid denial of service attacks and… Read full abstract & cite →

Tensors CANDECOMP/PARAFAC decomposition stochastic processes simulation

Abstract doi.org/10.14569/SpecialIssue.2018.090105 PDF

6

Blockchain based Wine Supply Chain Traceability System

Author 1: KAMANASHIS BISWAS Author 2: Vallipuram Muthukkumarasamy Author 3: Wee Lum Tan

The necessity of wine supply chain traceability system is inevitable due to increase in counterfeiting, adulteration, and use of excessive preservatives and hazardous chemicals. To overcome these issues, wine industry is in need of a traceability system which enables a consumer to verify the composition of each batch of wines… Read full abstract & cite →

Supply chain traceability blockchain consensus miner transparency

Abstract doi.org/10.14569/SpecialIssue.2018.090106 PDF

7

The Blockchain: A New Framework for Robotic Swarm Systems

Author 1: Eduardo Castelló Ferrer

Swarms of robots will revolutionize many industrial applications, from targeted material delivery to precision farming. However, several of the heterogeneous characteristics that make them ideal for certain future applications — robot autonomy, decentralized control, collective emergent behavior, etc. — hinder the evolution of the technology from academic institutions to real-world… Read full abstract & cite →

Swarm robotics decentralised systems blockchain distributed decision making new business models

Abstract doi.org/10.14569/SpecialIssue.2018.090107 PDF

8

Towards Secure Interoperability between Heterogeneous Blockchains using Smart Contracts

Author 1: Gaby G. Dagher Author 2: Chandra L. Adhikari Author 3: Tyler Enderson

Achieving data confidentiality and privacy while maintaining secure access is essential in various fields, including in the medical sector. Implementing a blockchain-based technol-ogy to secure sensitive data ensures that the users own their data and have control over who can access it. While blockchain technology is still in its infancy… Read full abstract & cite →

Blockchain Ethereum smart contract

Abstract doi.org/10.14569/SpecialIssue.2018.090108 PDF

9

Machine Learning-based Advanced Localization Method in Wireless Communication

Author 1: San Hlaing Myint Author 2: Takuro Sato

In existing localization research area, most of the localization methods suffer from propagation loss because of multi-path effects and sensitivity of the components of wireless technology, e.g. Received Signal Strength Indicator (RSSI). It is leading to miss estimation of localization methods and degradation of estimation accuracy. In this paper, a… Read full abstract & cite →

Fingerprint localization machine learning wireless communication

Abstract doi.org/10.14569/SpecialIssue.2018.090109 PDF

10

CR-MEGA: Mutually Exclusive Guaranteed Access Control for Cognitive Radio Networks

Author 1: Muhammad Shafiq Author 2: Seonghun Son Author 3: Jin-Ghoo Choi Author 4: Heejung Yu

In Cognitive Radio (CR) networks, unlicensed Sec-ondary Users (SUs) can occupy the white spaces of spectrum channels when licensed Primary Users (PUs) do not use them. Hence, for the operation of CR networks, it is critical to coordinate spectrum accesses of SUs and protect the ongoing communication of PUs. In… Read full abstract & cite →

Cognitive radio networks dynamic spectrum access spectrum sensing carrier sensing CSMA/CA

Abstract doi.org/10.14569/SpecialIssue.2018.090110 PDF

11

A New Concept of a Generic Co-Simulation Platform for Energy Systems Modeling

Author 1: Jianlei Liu Author 2: Clemens Duepmeier Author 3: Veit Hagenmeyer

In order to model, design, execute, control and analyze co-simulations for e.g. Smart Grids, a new scalable and generic system architecture of an agent-based co-simulation platform framework is presented in this article. Not only different kinds of simulators e.g. for power grids and technical plants, but also various types of… Read full abstract & cite →

Smart grid agent-based co-simulation platform microservice multi-domain energy system communication Rep-resentational State Transfer (REST) big data

Abstract doi.org/10.14569/SpecialIssue.2018.090111 PDF

12

Can Blockchain Protect Internet-of-Things?

Author 1: Hiroshi Watanabe

In the Internet-of-Things, the number of connected devices is expected to be extremely huge, i.e., more than a couple of ten billion. It is however well-known that the security for the Internet-of-Things is still open problem. In particular, it is difficult to certify the identification of connected devices and to… Read full abstract & cite →

Internet-of-Things (IoT) blockchain security physical chip identification (Physical Chip-ID) datachain connected devices logical address physical address

Abstract doi.org/10.14569/SpecialIssue.2018.090112 PDF

13

Microgrid Stability Improvement by Optimization of Virtual Droop Control

Author 1: Binu Krishnan U Author 2: Mija S J Author 3: Elizabeth P Cheriyan

The concept of microgrid has become more relevant due to the increase in the use of distributed energy resources. However, the important factors which are to be considered are their ability to control the power flow and stability of the system. Droop control strategy requires no communication system and realizes… Read full abstract & cite →

Droop controller microgrid eigenvalue analysis particle swarm optimization

Abstract doi.org/10.14569/SpecialIssue.2018.090113 PDF

14

A Preliminary Investigation into Infrared Sensors in Wearables for Upper Extremity Motion Sensing

Author 1: Carlo Menon Author 2: Jordan Lui Author 3: Kevin Andrews Author 4: Andrea Ferrone

Studies demonstrate that monitoring and recording movement of rehabilitation exercises can improve the degree of recovery of the patient. Technologies exist to track user movements but they are often large, expensive, or require multiple units to be mounted on the user in different locations. Each of these can be barriers… Read full abstract & cite →

Rehabilitation stroke spasticity telerehabilitation telerehab rehabilitation devices medical devices wearable technology biomedical engineering machine learning physical rehabilitation wireless technology optical sensing sensor fusion transf

Abstract doi.org/10.14569/SpecialIssue.2018.090114 PDF

15

Intelligent Elevators in a Smart Building

Author 1: Vasileios Zarikas Author 2: Nurislam Tursynbek

Smart Cities including Smart Buildings are a fascinating fast developing research area. The present work describes an intelligent elevator, integrated in the context of a smart building. A Bayesian network approach was designed to drive decision actions of an elevator, according to the information that is provided by fuzzy rules… Read full abstract & cite →

Smart buildings smart houses elevator Bayesian networks intelligent decision making

Abstract doi.org/10.14569/SpecialIssue.2018.090115 PDF

16

Knowledge Mining Architecture for Localized Optimization of Smart Heating Systems

Author 1: Bolatzhan Kumalakov Author 2: Lyazzat Ashikbayeva

Improvement in resource consumption is among the many important targets that smart heating systems are aimed at achieving. Such a system automatically manipulates a household’s physical artefacts (such as radiators, heating boiler, etc.) and changes their operational regimes to achieve this goal. This system can formally be represented by the… Read full abstract & cite →

Distributed knowledge management context recognition smart heating

Abstract doi.org/10.14569/SpecialIssue.2018.090116 PDF

17

Detection and Recognition of Sign Language Protocol using Motion Sensing Device

Author 1: Rita Tse Author 2: AoXuan Li Author 3: Zachary Chui Author 4: Marcus Im

This paper explores the possibility of implementing a gesture/motion detection and recognition system to recognize the American Sign Language (ASL) protocol for communications and control. Gestures are captured using a Leap Motion sensing device with recognition based on a Support Vector Regression algorithm. There is a high correlation between the… Read full abstract & cite →

Leap motion sensing device American Sign Language detection and recognition support vector regression Internet of Things

Abstract doi.org/10.14569/SpecialIssue.2018.090117 PDF

18

Blended Cryptography for Secured Data Transfer in Medical IoT Devices

Author 1: Revanesh M Author 2: V. Sridar

To make the best use of the vast potential opportunities that accompanies medical IoT sensor devices, security and privacy measures are expected to be inculcated as fundamental requirement within these systems. Although cryptography proves to be a promising solution for data breach problem, there is always an inconclusive debate between… Read full abstract & cite →

Biomedical Internet of Things cryptography symmetric encryption asymmetric encryption

Abstract doi.org/10.14569/SpecialIssue.2018.090118 PDF

19

Wireless Sensor for Monitoring Acoustic Induced Vibration

Author 1: Gymama Slaughter

Acoustic induced vibration can cause museum art objects to deteriorate at a very rapid pace, thereby endangering the cultural heritage they conserve. Here, wireless triaxial MEMS accelerometer nodes were used to monitor the effect of loud and live music played during social events at the Walters Art Museum on mock… Read full abstract & cite →

Acoustic vibration monitoring wireless sensors

Abstract doi.org/10.14569/SpecialIssue.2018.090119 PDF

20

A Cooperative Human-Machine Interaction Warning Strategy for the Semi-Autonomous Driving Context

Author 1: Pedro Arezes Author 2: Suana Costa Author 3: Paulo Simões Author 4: Nelson Costa

This study is a part of an ongoing work regarding the possible scenarios during autonomous driving and it takes into consideration, not only academic literature and industry updates, but also the aspects described on the standards already disclosed. As autonomous driving systems become a more tangible reality, the development of… Read full abstract & cite →

Warning driver autonomous human-machine interaction (HMI) vehicle

Abstract doi.org/10.14569/SpecialIssue.2018.090120 PDF

21

Fog-to-Cloud (F2C) Data Management for Smart Cities

Author 1: Amir Sinaeepourfard Author 2: JORDI GARCIA ALMINANA Author 3: Xavier Masip-Bruin Author 4: Eva Marín-Tordera

Smart cities are the current technological solutions to handle the challenges and complexity of the growing urban density. Traditionally, smart city resources management rely on cloud based solutions where sensors data are collected to provide a centralized and rich set of open data. The advantages of cloud-based frameworks are their… Read full abstract & cite →

Smart city fog-to-cloud (F2C) computing data management data lifecycle model (DLC) data aggregation

Abstract doi.org/10.14569/SpecialIssue.2018.090121 PDF

22

Personal Food Computer: A New Device for Controlled-Environment Agriculture

Author 1: Eduardo Castelló Ferrer Author 2: Jake Rye Author 3: Gordon Brander Author 4: Tim Savas

Due to their interdisciplinary nature, devices for controlled-environment agriculture have the possibility to turn into ideal tools not only to conduct research on plant phenology but also to create curricula in a wide range of disciplines. Controlled-environment devices are increasing their function-alities as well as improving their accessibility. Traditionally, building… Read full abstract & cite →

Controlled-environment agriculture agricultural robotics educational robotics decentralised farming open-source hardware open-source software citizen science

Abstract doi.org/10.14569/SpecialIssue.2018.090122 PDF

23

Cost-Effective System for the Classification of Muscular Intent using Surface Electromyography and Artificial Neural Networks

Author 1: Anmol Khanna Author 2: Senthil Arumugam Muthukumaraswamy

This paper presents the implementation of a cost-effective system to classify muscular intent. A neural network is used for this purpose. After skin preparation, feature extraction, network training and real-time testing, an average overall classification accuracy of 93.3% over three possible gestures was obtained. Ultimately, the results obtained speak to… Read full abstract & cite →

Electromyography orthosis prosthesis neural network muscular intent Arduino cost-effective

Abstract doi.org/10.14569/SpecialIssue.2018.090123 PDF

24

Future Augmented Reality in Endosurgery

Author 1: Bojan Nokovic Author 2: Tian Zhang

We present technology that uses a computer-generated 3-D image inserted in real-time endoscopic view. The generated image represents the safe zone, the area in which the tip of the surgical tool should stay during operation. Movements of tools can be tracked using existing techniques of surgical tools navigation based on… Read full abstract & cite →

Augmented reality image processing endosurgery

Abstract doi.org/10.14569/SpecialIssue.2018.090124 PDF

25

ECG Abnormality Detection Algorithm

Author 1: Mahmoud Al Ahmad Author 2: Soha Ahmed Author 3: Ali Alnaqbi Author 4: Mohamed Al Hemairy

The monitoring and early detection of abnormalities in the cardiac cycle morphology have significant impact on the prevention of heart diseases and their associated complications. Electrocardiogram (ECG) is very effective in detecting irregularities of the heart muscle functionality. In this work, we investigate the detection of possible abnormalities in ECG… Read full abstract & cite →

Cross-correlation abnormalities detection ECG cardiac cycle eHealth remote monitoring algorithm

Abstract doi.org/10.14569/SpecialIssue.2018.090125 PDF

26

An Intelligent Session Transition System Towards Low Power Walking Step Estimation

Author 1: Dipankar Das Author 2: Vishal Bharti Author 3: Prakhyath Kumar Hegde Author 4: MoonBae Song

Activity tracking has gained prominence with the phenomenal growth of fitness devices and ever increasing fitness awareness and step count has emerged as the primary fitness parameter. Step count is typically derived from continuous motion signal analysis. Either a dedicated hardware processing unit or a software signal processing unit, continuously… Read full abstract & cite →

Software pedometer step count step estimation accelerometer fitness device smartphone

Abstract doi.org/10.14569/SpecialIssue.2018.090126 PDF

27

A Musical Guidance System for Ergogenic Benefits in Workouts

Author 1: PRAKHYATH KUMAR HEGDE Author 2: SHOAIB SHERIFF Author 3: SHIVA MURTHY BUSETTY Author 4: Jinmook Lim

Music has become an essential component during indoor and outdoor workouts. Studies show that a budding runner can find a significant increase in motivation simply by listening to music. In this paper, we propose a system to further enhance the ergogenic benefits of music by providing real-time musical guidance derived… Read full abstract & cite →

Music heart rate workout zones music guidance ergogenic benefits

Abstract doi.org/10.14569/SpecialIssue.2018.090127 PDF

28

Application of Business Intelligence Techniques Using SAS on Open Data: Analysing Health Inequality in English Regions

Author 1: Ah-Lian Kor Author 2: Sanela Lazarevski

Health inequality is a widely reported problem. There is an existing body of work that links health inequality and geographical location. This means that one might be more disadvantageous health-wise if one was born in one region compared to another. Existing health inequality related work in various developed and developing… Read full abstract & cite →

SAS BI techniques open health data data mining health inequality

Abstract doi.org/10.14569/SpecialIssue.2018.090128 PDF

29

Interface of an Automatic Recognition System for Dysarthric Speech

Author 1: FARES ZAIDI Author 2: Malika Boudraa Author 3: Sid-Ahmed Selouani Author 4: Ghania Hamdani

This paper addresses the realization of a Human/Machine (H/M) interface including a system for automatic recognition of the Continuous Pathological Speech (ARSCPS) and several communication tools in order to help frail people with speech problems (Dysarthric speech) to access services providing by new technologies of information and communication (TIC) while… Read full abstract & cite →

Automatic Recognition System of Continuous Pathological Speech (ARSCPS) ETSI standard Mel frequency Cepstral Coefficient Front End (ETSI MFCC FE V2.0) Hidden Markov Model Toolkit (HTK) Hidden Models of Markov (HMM) Human/Machine (H/M) Technologies of

Abstract doi.org/10.14569/SpecialIssue.2018.090129 PDF

30

Design and Development of Non-Invasive Prototype to Measure Pulse Rate, Blood Glucose and Oxygen Saturation Level in Arterial Blood

Author 1: Nazo Haroon Author 2: Mohsin Islam Tiwana

The article is dedicated to propose a system which can measure heart rate, blood glucose and oxygen saturation ratio non-invasively with maximum possible accuracy. The design is easy to use, real time and pain free. Preliminary results are acquired on a prototype amplification and filter circuitry, a sensor consisting of… Read full abstract & cite →

Pulse oximeter photoplethysmography absolute relative difference non-invasive chemistry analyzer

Abstract doi.org/10.14569/SpecialIssue.2018.090130 PDF

31

Implementation of Data Mining from Social Media for Improved Public Health Care

Author 1: Mohammed Saeed Jawad

To improve public health care outcomes with reduced cost, this research proposed a framework which focuses on the positive and negative symptoms of illnesses and the side effects of treatments. However, previous studies have been limited as they neither identified influential users nor discussed how to model forms of relationships… Read full abstract & cite →

Data mining social media medical data end user feedbacks positive terms negative terms symptoms

Abstract doi.org/10.14569/SpecialIssue.2018.090131 PDF

32

Prediction of Musical Perception using EEG and Functional Connectivity in the Brain

Author 1: Lavanya Krishna Author 2: Geethanjali B Author 3: Chandramouli Ramesh Author 4: Mahesh Veezhinathan

Music has various effects on the brain and body. Multiple studies have suggested a marked difference in information processing between musicians and non-musicians when listening to music. However, the occurrence of these changes within the brain is yet to be instantiated. The amount of data obtained to study information processing… Read full abstract & cite →

Information processing data reduction prediction brain activation familiarity

Abstract doi.org/10.14569/SpecialIssue.2018.090132 PDF

33

Architecting and Building the Future of Healthcare Informatics: Cloud, Containers, Big Data and CHIPS

Author 1: Rudolph Pienaar Author 2: Ata Truk Author 3: Jorge Bernal Author 4: Nicolas Rannou

New trends in software engineering are reshaping the computing landscape – computation is increasingly portable, storage is increasingly elastic, and data accessibility is increasingly “always on” and “always available” to an exponentially increasing variety of applications and devices. While the effects of these trends in the larger “compute-verse” are profound… Read full abstract & cite →

Web based neuroimaging big data applied con-tainerization telemedicine cloud-storage

Abstract doi.org/10.14569/SpecialIssue.2018.090133 PDF

34

Evaluation of Soft Tissue Variations using a 3D Scanning System for Orthodontic Applications

Author 1: Mauren Abreu de Souza Author 2: Cristiane Schmitz Author 3: Melissa Galarza Rodrigues Author 4: Giovanna Simião Ferreira

There are different three-dimensional (3D) imaging systems which allow obtaining measurements from surface geometries. However, for medical applications, such methods need to be safe, with no harm or radiation. Therefore this paper proposes a methodology for obtaining facial surfaces in order to be compared over time for orthodontic applications. Specifically… Read full abstract & cite →

Three-dimensional measurements laser scanning system facial geometry orthodontic applications

Abstract doi.org/10.14569/SpecialIssue.2018.090134 PDF

35

Multi-class Alzheimer Disease Classification using Hybrid Features

Author 1: Syed Muhammad Anwar

Alzheimer disease (AD) is one of the most common form of dementia. Accurate detection of AD and its initial stage i.e., mild cognitive impairment (MCI) is a challenging task. In this study, a computer-aided diagnosis (CAD) system is implemented on clinical and diagnostic imaging data from OASIS database. Amygdala and… Read full abstract & cite →

Alzheimer hybrid features classification multi-class

Abstract doi.org/10.14569/SpecialIssue.2018.090135 PDF

36

Isolating Bone and Gray Matter in MRI Images using 3D Slicer

Author 1: Sudhanshu K Semwal Author 2: Ashley Whiteside

Slicer has been used in medical community for several years now. This paper describes a Python extension imported in Slicer application. The main contribution of the paper is to outline and explain how to import and test a Python extension which we created to isolate gray matter and bone in… Read full abstract & cite →

3D slicer medical visualization thresholding

Abstract doi.org/10.14569/SpecialIssue.2018.090136 PDF

37

Crowd Behavior Categorization using Live Stream based on Motion Vector Estimation

Author 1: Sajid Gul Khawaja Author 2: Amna Sajid Author 3: Mehak Tofiq

The detection of anomalies in large crowd is a cognitive task. A proactive approach is required to effectively manage the crowd flow and to accurately detect the erratic behavior of crowd. In this paper, we present an algorithm which observes crowd optical flow in real time and detect any abnormal… Read full abstract & cite →

Motion vector crowd behavior real time processing

Abstract doi.org/10.14569/SpecialIssue.2018.090137 PDF

38

Blink Detection for Residential Control

Author 1: Adriano Pontone Nanes Author 2: Clauber Cesário de Souza Author 3: Diego Yudi Miamoto Author 4: Murilo de Oliveira Lima

Domotics is the study that involves the fusion of the words “domus” (which means home in latin) and “robotics”, linked directly to the act of automating something. Using facial recognition, by detecting the blink of eyes and its movements, we can make it possible to perform various domestic tasks, such… Read full abstract & cite →

Domotics image processing computer vision artificial intelligence

Abstract doi.org/10.14569/SpecialIssue.2018.090138 PDF

39

Neural Style Representations and the Large-Scale Classification of Artistic Style

Author 1: Jeremiah Johnson

The artistic style of a painting can be sensed by the average observer, but algorithmically classifying the artistic style of an artwork is a difficult problem. The recently introduced neural-style algorithm uses features constructed from the low-level activations of a pretrained convolutional neural network to merge the artistic style of… Read full abstract & cite →

Artificial intelligence neural network style trans-fer deep learning computer vision machine learning

Abstract doi.org/10.14569/SpecialIssue.2018.090139 PDF

40

Building Scale VR: Automatically Creating Indoor 3D Maps and its Application to Simulation of Disaster Situations

Author 1: Katashi Nagao Author 2: Yusuke Miyakawa

It is useful to simulate disaster situations by recon-structing actual buildings in a virtual space to enable people using the buildings to learn how to act in a disaster situation before it occurs. Therefore, we are developing a disaster-simulation system that simulates various disaster situations by virtually reproducing the situation… Read full abstract & cite →

Virtual reality 3D map autonomous mobile robot disaster simulation

Abstract doi.org/10.14569/SpecialIssue.2018.090140 PDF

41

The Role of Camera Convergence in Stereoscopic Video See-through Augmented Reality Displays

Author 1: Vincenzo Ferrari Author 2: Fabrizio Cutolo

In the realm of wearable augmented reality (AR) systems, stereoscopic video see-through displays raise issues related to the user’s perception of the three-dimensional space. This paper seeks to put forward few considerations regarding the perceptual artefacts common to standard stereoscopic video see-through displays with fixed camera convergence. Among the possible… Read full abstract & cite →

Augmented reality and visualization stereoscopic display stereo overlap video see-through

Abstract doi.org/10.14569/SpecialIssue.2018.090141 PDF

42

Forming a Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields

Author 1: Mohammad Javad Shafiee Author 2: Alexander Wong Author 3: Paul Fieguth

Random fields have remained a topic of great inter-est over past decades for the purpose of structured inference, es-pecially for problems such as image segmentation. The local nodal interactions commonly used in such models often suffer the short-boundary bias problem, which are tackled primarily through the incorporation of long-range nodal… Read full abstract & cite →

Fully connected random field random graph stochastic cliques graph cuts Markov random fields

Abstract doi.org/10.14569/SpecialIssue.2018.090142 PDF

43

An Improved Surendra Algorithm for Moving Object Detection

Author 1: Fang Dai Author 2: Dan Yang Author 3: Tong Dang

A vehicle detection algorithm developed by Surendra (called Surendra algorithm) is composed of three parts: segmentation, adaptive background updating and background extraction. Surendra algorithm is sensitive to dynamic environment and is easily influenced by noise and illumination when detecting moving objects. For this reason, we present an improved Surendra algorithm… Read full abstract & cite →

Moving object detection Surendra algorithm background update coefficient motion mask

Abstract doi.org/10.14569/SpecialIssue.2018.090143 PDF

44

Scene Classification Using Hidden Markov Models

Author 1: BENRAIS Lamine Author 2: BAHA Nadia

In common multiclass classification problem, the main difficulties occur when classes are not mutually exclusive. In order to solve problems such as document classification, medical diagnosis or scene classifications we need to use robust and reliable tools. In this paper, we consider the problem of scene classification treated by hidden… Read full abstract & cite →

Scene classification object’s weight hidden Markov models

Abstract doi.org/10.14569/SpecialIssue.2018.090144 PDF

45

An Edge Based Adaptive Interpolation Algorithm for Image Scaling

Author 1: Hongjian Shi Author 2: Wanli Chen

In this paper, the Canny and Sobel operators are combined to scale an image and to produce an image with high resolution and clear edges. The Canny operator is used at first to detect edges of the objects inside the original image. After that, four Sobel operators in different directions… Read full abstract & cite →

Image scaling edge detection Sobel operator Canny operator bilinear interpolation bicubic interpolation

Abstract doi.org/10.14569/SpecialIssue.2018.090145 PDF

46

Control System of a Terrain Following Quadcopter Under Uncertainty and Input Constraints: A Review and Research Framework

Author 1: Nasser Alqahtani Author 2: Homayoun Najjaran

In modern society, autonomous quadrotors can be used to perform tasks and collect data in dangerous and inacces-sible environments where human involvement would traditionally be necessary. Unmanned Aerial Vehicles (UAVs), and especially the quadrotor, are still facing obstacles in terms of following a trajectory and flying autonomously in enclosed, complex… Read full abstract & cite →

Quadrotor Terrain Following GPS Denied Envi-ronment

Abstract doi.org/10.14569/SpecialIssue.2018.090146 PDF

47

A Prototyping of BoBi Secretary Robot

Author 1: Bilan Zhu Author 2: Jiansheng Liu

We describe here a prototyping of intelligent personal robot named BoBi secretary. When it is closed, BoBi is a rectangular box with a smart phone size. Owner can call to BoBi to open to transform from the box to a movable robot, and then it will perform many functions like… Read full abstract & cite →

Intelligent robot system personal assistant robot portable robot transformable robot movable robot

Abstract doi.org/10.14569/SpecialIssue.2018.090147 PDF

48

Control of Robotic Crawler Cranes in Tandem Lifting Operations

Author 1: Sima Rishmawi Author 2: William Singhose

Moving heavy and over-sized loads poses significant control challenges. A single crawler crane may be insufficient for such lifting tasks if the payload exceeds the capacity, or if the payload’s size and shape make it difficult to secure it to a single crane hook. To solve these problems, it may… Read full abstract & cite →

Crawler crane tandem robotic tip-over stability control crane safety

Abstract doi.org/10.14569/SpecialIssue.2018.090148 PDF

49

A wearable general-purpose solution for Human-Swarm Interaction

Author 1: Eduardo Castelló Ferrer

Swarms of robots will revolutionize many indus-trial applications, from targeted material delivery to precision farming. Controlling the motion and behavior of these swarms presents unique challenges for human operators, who cannot yet effectively convey their high-level intentions to a group of robots in application. This position paper proposes a new… Read full abstract & cite →

Swarm robotics human-swarm interaction human-robot interaction wearable technology

Abstract doi.org/10.14569/SpecialIssue.2018.090149 PDF

50

Smartphone based Robust Hierarchical Framework for Activity Recognition based on Machine Learning

Author 1: Rida Ghafoor Hussain Author 2: Muhammad Awais Azam Author 3: Mustansar Ali Ghazanfar Author 4: Usman Naeem

Human behaviors are a complex and challenging task to learn from daily life activities. Persons who are dependent can be ignored by society. Besides infants, elders are observed to have more accident rates in performing daily life activities. Alzheimer disease is the common impairment that leads to dementia in elderly… Read full abstract & cite →

Bayes Net Naïve Bayes dynamic ADL classifiers

Abstract doi.org/10.14569/SpecialIssue.2018.090150 PDF

51

Visualized Financial Performance Analysis: Self-Organizing Maps(MS)

Author 1: Manchuna Shanmuganathan

This study reviews expediency and discusses about self-organizing map (SOM) in financial performance management and analysis of a Canadian bank, and financial data of Royal Bank of Canada (RBC) has been analysed with SOM application. The SOM is used widely for many financial applications, including financial institutions towards financial crisis… Read full abstract & cite →

Self-organizing map (SOM) financial performance International Financial Reporting Standards (IFRS) Canadian Generally Accepted Accounting Principles (CGAAP) Management Decision and Analysis (MD&A)

Abstract doi.org/10.14569/SpecialIssue.2018.090151 PDF

52

Applying Deep Machine Learning for Psycho-Demographic Profiling of Internet Users using O.C.E.A.N. Model of Personality

Author 1: Iaroslav Omelianenko

In the modern era, each Internet user leaves enor-mous amounts of auxiliary digital residuals (footprints) by using a variety of on-line services. All this data is already collected and stored for many years. In recent works, it was demonstrated that it is possible to apply simple machine learning methods to… Read full abstract & cite →

Deep machine learning O.C.E.A.N. personality model psycho-demographic profiling TensorFlow R programming language

Abstract doi.org/10.14569/SpecialIssue.2018.090152 PDF

53

Event-B Control Flow Modeling based on iUML-B State Machine

Author 1: Han Peng Author 2: Chenglie Du Author 3: Haobin Wang

There are some limitations in expressing the order of actions using Event-B. To solve this problem, the event refinement structure method (ERS) is proposed to facilitate modeling of the system’s control flow. However, the event refinement structure cannot be translated to a behavior semantic model such as the communication sequence… Read full abstract & cite →

Event-B control flow modeling iUML-B state machine atomicity decomposition event refinement structure

Abstract doi.org/10.14569/SpecialIssue.2018.090153 PDF

54

Evolution in Groups: A Deeper Look at Synaptic Cluster Driven Evolution of Deep Neural Networks

Author 1: Mohammad Javad Shafiee Author 2: Elnaz Barshan Author 3: Alexander Wong

A promising paradigm for achieving highly efficient deep neural networks is the idea of evolutionary deep intelligence, which mimics biological evolution processes to progressively synthesize more efficient networks. A crucial design factor in evolutionary deep intelligence is the genetic encoding scheme used to simulate heredity and determine the architectures of… Read full abstract & cite →

EvoNet deep learning evolution deep neural net-work embedded systems

Abstract doi.org/10.14569/SpecialIssue.2018.090154 PDF

55

Cellular Automaton Based Simulation in Panic and Normal Situations: A Case Study on the University Lecture Hall

Author 1: Fadratul Hafinaz Hassan Author 2: Najihah Ibrahim Author 3: Nur Shazreen Nabiha Mat Tan Salleh

University lecture hall is the most crowded place in the university that concedes by pedestrian which mostly are the students. The university students have their own daily schedules that require them to move from one place to another in a shortest time. However, the unbalance and scattered important places (lecture… Read full abstract & cite →

Cellular automata approach microscopic movement panic situation normal situation university lecture hall pedestrian flow rate

Abstract doi.org/10.14569/SpecialIssue.2018.090155 PDF

56

Robust Fractional order Power System Stabilizer design using Bacteria Foraging Algorithm for Multi-machine Power System

Author 1: Haseena. K A Author 2: Jeevamma Jacob Author 3: Abraham T Mathew

Power System Stabilizers (PSSs) are supplementary controllers to enhance the damping of electromechanical oscil-lations in synchronous generators. A fractional order supple-mentary controller, which has the features as broad bandwidth, memory effect, and flatness in phase contribution, is proposed in this paper. The fractional parameter effect made the stabilizer to perform… Read full abstract & cite →

Stability of synchronous machines robust control power system stabilizer fractional order control bacteria foraging algorithm

Abstract doi.org/10.14569/SpecialIssue.2018.090156 PDF

57

Performance Monitoring of Centrifugal Compressor System using LSTM based Deep RNN

Author 1: Harsh Purohit Author 2: Karmvir Phogat Author 3: P.S.V. Nataraj

This work presents the results of applying an advanced performance monitoring technique to centrifugal com-pressor system using deep recurrent neural network (DRNN). In reality, due to different kind of disturbances, the compressor system may lead to catastrophic situations. Therefore, perfor-mance monitoring has become an issue of primary importance in modern… Read full abstract & cite →

Performance monitoring LSTM-DRNN anomaly detection compressor control system

Abstract doi.org/10.14569/SpecialIssue.2018.090157 PDF

58

Real-Time Control of a 2-DoF Helicopter Via Model Matching H8 Matrix Modulation Approach

Author 1: Parthish Kumar Paul Author 2: Jeevamma Jacob

This paper addresses the convergence issues of the H∞ control algorithm by a matrix modulation technique on the mathematical generalized plant model of a system. This paper further presents a general solution to the robust control algorithm convergence problem of MIMO systems. The proposed controller is optimized for output error… Read full abstract & cite →

Matrix modulation Twin Rotor MIMO System (TRMS) singularity generalized plant H8 control output error regulation

Abstract doi.org/10.14569/SpecialIssue.2018.090158 PDF

59

Exploiting Chaos for Fun and Profit

Author 1: Tjeerd V. olde Scheper

Chaos in dynamical systems is still considered to be a somewhat curious, and generally undesirable property of non-linear systems. Despite the plethora of chaotic control methods published over the last decades, only in a few instances has the control of chaos been used to address real world problems in engineering… Read full abstract & cite →

Chaos control of chaos bio-inspired computing

Abstract doi.org/10.14569/SpecialIssue.2018.090159 PDF

60

Iteratively-Reweighted Least-Squares Fitting of Support Vector Machines: A Majorization–Minimization Algorithm Approach

Author 1: Hien Duy Nguyen Author 2: Geoffrey McLachlan

Support vector machines (SVMs) are an important tool in modern data analysis. Traditionally, support vector ma-chines have been fitted via quadratic programming, either using purpose-built or off-the-shelf algorithms. An alternative approach to SVM fitting is presented via the majorization–minimization (MM) paradigm. Algorithms that are derived via MM algorithm constructions can… Read full abstract & cite →

Iteratively-reweighted least-squares support vector machines majorization–minimization algorithm

Abstract doi.org/10.14569/SpecialIssue.2018.090160 PDF

61

An Automated Avoidance Approach for Multiple General-Aviation Conflicts

Author 1: Yousra Almathami Author 2: Reda Ammar

Air traffic controllers (ATC) face daily major concerns which are controlled Airspace (CAS) infringements. An infringement is when a general aviation (GA) aircraft penetrates CASs without an advanced clearance from the ATC. These infringements could cause a mid air collision with authorized aircraft inside CAS which their conflict was not… Read full abstract & cite →

Switching Kalman filters controlled airspace aircraft infringements ground based safety system polygon triangulation

Abstract doi.org/10.14569/SpecialIssue.2018.090161 PDF

62

Leveraging Different Learning Rules in Hopfield Nets for Multiclass Classification

Author 1: Pooja Agarwal Author 2: Abhijit J. Thophilus Author 3: Arti Arya Author 4: Suryaprasad Jayadevappa

Retaining customer and finding the loyalty of an existing customer is an important aspect of today’s business industry. In this paper the study of behavior of different machine learning rules on Hopfield Nets is conducted. This is a work in continuation w.r.t the classification of a real customer dataset into… Read full abstract & cite →

Customer loyalty Hopfield Neural Networks learn-ing rate momentum Storkey learning Hebbian learning Softmax activation function

Abstract doi.org/10.14569/SpecialIssue.2018.090162 PDF

63

A Randomized Heuristic Algorithm for Cyclic Routing of UAVs

Author 1: Cheng Siang Lim Author 2: Shell Ying Huang

Unmanned Aerial Vehicles (UAVs) have been increasingly used in military and civilian applications. Even though the UAV routing problems have similarities with Vehicle Routing Problems, there are still many problems where effective and efficient solutions are lacking. We propose a randomized heuristic algorithm for the cyclic routing of a single… Read full abstract & cite →

Single Unmanned Aerial Vehicle (UAV) cyclic routing randomization heuristic

Abstract doi.org/10.14569/SpecialIssue.2018.090163 PDF

64

Lifting the Veil: Visualizing Sentient Architecture

Author 1: Andreas Bueckle Author 2: Katy Borner Author 3: Philip Beesley Author 4: Matthew Spremulli

Increasingly, our everyday environments become more and more connected and “smart”. Intelligent Interactive Systems (IIS) is an umbrella term to describe environments that are characterized by their ability to process data and generate responsive behavior using sensors, actuators, and microprocessors. Sentient Architecture generates an artful, imaginative, and engaging environment in… Read full abstract & cite →

Intelligent interactive systems engineering information visualization microprocessor 3D Internet of Things mobile applications

Abstract doi.org/10.14569/SpecialIssue.2018.090164 PDF

65

Super Generalized Central Limit Theorem: Limit Distributions for Sums of Non-Identical Random Variables with Power-Laws

Author 1: Masaru Shintani Author 2: Ken Umeno

In nature or societies, the power-law is present ubiq-uitously, and then it is important to investigate the characteristics of power-laws in the recent era of big data. In this paper we prove the superposition of non-identical stochastic processes with power-laws converges in density to a unique stable distribution. This property… Read full abstract & cite →

Power-law big data limit distribution

Abstract doi.org/10.14569/SpecialIssue.2018.090165 PDF

66

An Efficient Data Structure for Fast Join Query Processing

Author 1: Mohammed Hamdi Author 2: Feng Yu Author 3: Sarah Alswedani Author 4: Wen-Chi Hou

In this research, we propose to store equi-join relationships of tuples on inexpensive and space abundant devices, such as disks, to facilitate query processing. The equi-join relationships are captured, grouped, and stored as various tables on disks, which are collectively called the Join Core. Queries involving arbitrary legitimate sequences of… Read full abstract & cite →

Query processing join queries equi-join semi-join outer-join anti-join set operations

Abstract doi.org/10.14569/SpecialIssue.2018.090166 PDF

67

Intent Detection through Text Mining and Analysis

Author 1: El Sayed Mahmoud Author 2: Samantha Akulick

This work investigated using n-grams, parts-of-speech and support vector machines for detecting the customer intents in the user generated contents. The work demonstrated a system of categorization of customer intents that is concise and useful for business purposes. We examined possible sources of text posts to be analyzed using three… Read full abstract & cite →

Intent detection text mining support vector machines N-grams parts of speech

Abstract doi.org/10.14569/SpecialIssue.2018.090167 PDF

68

Building Vocabulary for Big Data Analytics

Author 1: Lyublyana Turiy

The explosion in Big Data Analytics research provides a massive amount of software capabilities, publications, and conference proceedings making it difficult to sift through and inter-relate it all. A vast amount of new terminology and professional jargon has been created and adopted for use in the recent years. It is… Read full abstract & cite →

Big data analytics domain controlled vocabulary keyword content analysis

Abstract doi.org/10.14569/SpecialIssue.2018.090168 PDF

69

A Technology Forecasting Framework Enhanced via Twitter Mining

Author 1: Anthony Breitzman Author 2: Patrick Thomas

The amount of information available on new tech-nologies has risen sharply in recent years. In turn, this has increased interest in automated tools to mine this information for useful insights into technology trends, with a particular focus on locating emerging, breakthrough technologies. This paper first outlines an automated framework for… Read full abstract & cite →

Twitter mining text mining emerging technologies

Abstract doi.org/10.14569/SpecialIssue.2018.090169 PDF

70

I Know What You Felt Last Festival

Author 1: Miguel Nunez-del-Prado Author 2: Juandiego Morzan-Samame Author 3: Hugo Alatrista-Salas

Festivals are an important leisure activity in the life of human beings. As a matter of fact, the organizers of festivals are interested in offering quality activities that allow them to position themselves in the entertainment market. To achieve this aim, the organizers use surveys to obtain a global opinion… Read full abstract & cite →

Sentiment analysis machine learning algorithms festival survey analysis

Abstract doi.org/10.14569/SpecialIssue.2018.090170 PDF

71

Using PseudoGravity to Attract People

Author 1: Soo Ling Lim Author 2: Peter J Bentley

We introduce the PseudoGravity tool, an automated social media system that establishes a social media presence in the area of interest of a target audience, identifies target users that are open to connect, engages with them, and elicits a complex response and time investment from them. In this work, we… Read full abstract & cite →

Social media Twitter artificial intelligence automated engagement marketing online survey e-publishing

Abstract doi.org/10.14569/SpecialIssue.2018.090171 PDF

72

Response-Aware Scheduling of Big Data Applications in Cloud Environments

Author 1: Deepak Puthal

The cloud infrastructures afford a proper environ-ment for the execution of large-scale big data application. The scheduling of a substantial number of tasks in the heterogeneous multi-tenant cloud environment is one of the most significant research challenges in the current era. The major challenges of task allocation are to optimize… Read full abstract & cite →

Scheduling cloud computing task allocation allo-cation time execution time

Abstract doi.org/10.14569/SpecialIssue.2018.090172 PDF

73

Towards Service Protection in Fog-to-Cloud (F2C) Computing Systems

Author 1: Vitor Barbosa Souza Author 2: Wilson Ramírez Author 3: Xavier Masip-Bruin Author 4: Eva Marín-Tordera

Internet of Things (IoT) services are unstoppably demanding more computing and storage resources. Aligned to this trend, cloud and fog computing came up as the proper paradigms meeting such IoT services demands. More recently, a new paradigm, so-called fog to cloud (F2C) computing, promises to make the most out of… Read full abstract & cite →

Cloud computing fog computing fog-to-cloud computing Internet of Things service protection

Abstract doi.org/10.14569/SpecialIssue.2018.090173 PDF

74

Ways of Development of Computer Technologies to Perspective Nano

Author 1: Kateryna Lavryshcheva Author 2: I.B. Petrov

The ways of development of the first computers to modern computers, which are assembled from transistors, chips, integrated microcircuits on crystals, etc. are considered. New substances, materials, electronic devices, manipulators from new micro Nano elements are created. It is noted that computer technologies provide people communication (mail, video, Skype, etc.)… Read full abstract & cite →

Nano elements computer technology engineering technology systems assembling modules molecules small computers internet thing

Abstract doi.org/10.14569/SpecialIssue.2018.090174 PDF

75

Topological Structure for Parallelizing Multicomputer Cluster

Author 1: Deepak Sharma

Parallel computation, an extension to multi-programming architectures usually structured as tightly coupled organization of multiple CPU cores. Systems under such configurations require lot of effort to manage multiple tasks simultaneously. Operating systems for such hardware follows several real time constraints in order to enhance system performance. Normally, Operating system designates… Read full abstract & cite →

Parallel cluster wireless communication network broadcasting data access point multi-computers Multiple Ethernet Interface Card

Abstract doi.org/10.14569/SpecialIssue.2018.090175 PDF

76

A Green Programming Model for Cloud Software Efficiency

Author 1: Ah-Lian Kor Author 2: Colin Pattinson

Cloud computing aims to deliver more energy efficient computing provision. The potential advantages are primarily based on the opportunities to achieve economies of scale through resource sharing: in particular, by concentrating data storage and processing within data centres, where energy efficiency and measurement are well-established activities. However, this addresses only… Read full abstract & cite →

Energy efficiency green computing programming model energy efficient cloud

Abstract doi.org/10.14569/SpecialIssue.2018.090176 PDF

77

Task Graph Mapping of General Purpose Applications on a Neuromorphic Platform

Author 1: Indar Sugiarto Author 2: Pedro Campos Author 3: Nizar Dahir Author 4: Gianluca Tempesti

A task graph is an intuitive way to represent the execution of parallel processes in many modern computing platforms. It can also be used for performance modeling and simulation in a network of computers. Common implementation of task graphs usually involves a form of message passing protocol, which depends on… Read full abstract & cite →

Task graph mapping neuromorphic Spiking Neu-ral Network Architecture (SpiNNaker)

Abstract doi.org/10.14569/SpecialIssue.2018.090177 PDF

78

Optimization of Multi-Dimensional Metrics through Task Scheduling in Cloud Computing Systems

Author 1: Deepak Puthal

Cloud-based data centers consume a considerable amount of energy, which is an expensive system. The virtualization technique helps to overcome various issues including the energy issue. Because of the dynamic nature of workload, task consolidation is an effective technique to decrease the total number of servers and unnecessary migrations and… Read full abstract & cite →

Cloud computing task scheduling energy consumption makespan throughput simulation

Abstract doi.org/10.14569/SpecialIssue.2018.090178 PDF

79

Toward Quantum Refactoring: Self-Organizing Parallel Resource Mapping with Computation Matrix Transform

Author 1: Liwen Shih

As Quantum Annealing Computers (QACs) like D-Wave 2000Q Adiabatic Quantum Systems emerge, we aim to investigate the potential synergy between QAC and HPC as we push toward exascale supercomputing, where manual parallel programming for millions of processor cores will become inhibitive. Quantum Refactoring is proposed here only as a possible… Read full abstract & cite →

Automatic Software-Hardware Resource Mapping Self-Organized Code Refactoring Permutation Causal Matrix Model of Computation Data-Flow Discovery Quantum Annealing Optimization

Abstract doi.org/10.14569/SpecialIssue.2018.090179 PDF

80

Quantum Leap in Accelerated Computing: The Quest of the Missing Links between Quantum Annealer and HPC

Author 1: Liwen Shih

As the arrival of Adiabatic Quantum Annealing Computers (QACs) era, there are ample opportunities to search for the missing links between QACs and HPC (High-Performance Computing). QACs such as D-Wave 2000Q Systems are analog Quantum Annealers capable of instantly zooming in to optimal solutions. We are optimistically aiming at broadening… Read full abstract & cite →

Quantum annealing adaptive parallel software/hardware mapping algorithm-specific processor scheduling topology-aware network scheduling optimization

Abstract doi.org/10.14569/SpecialIssue.2018.090180 PDF

81

Some Aspects of Teaching Processes Computerization

Author 1: Svetsky Stefan Author 2: Moravcik Oliver

From the teaching processes computerization point of view, there is an absence of state-of-the-art approaches to their automation derived from “knowledge” as the key element of teaching and learning (including human knowledge transmission taking place in the framework of communication and feedback). This contribution presents such an approach, dealing with… Read full abstract & cite →

automation of teaching processes knowledge representation technology-enhanced learning educational technology Cybernetics

Abstract doi.org/10.14569/SpecialIssue.2018.090181 PDF

82

To Flip or Not to Flip

Author 1: Steven Billis Author 2: Nada Anid

The flipped classroom is gaining popularity as a teaching strategy that allows instructors to create an active learning environment. It focuses the responsibility of learning on the students and changes their role from listeners to learners. In a previous paper the authors presented an example of a flipped-classroom approach to… Read full abstract & cite →

Just-in-Time Teaching (JiTT) LivescribeTM minute paper muddiest point

Abstract doi.org/10.14569/SpecialIssue.2018.090182 PDF

83

A Higher Education Experiment to Motivate the Use of Gamification Technique in Agile Development Methodology

Author 1: Rula Al Azawi Author 2: Dawood Al Ghatarifi Author 3: Aladdin Ayesh

Student’s motivation and engagement difficulties are present in higher education. Between many technologies to increase student motivation and engagement, we found that Gamification technique is the most suitable case. This paper presents our experiment of using Gamification in learning process and based on the use of the Agile methodology in-order… Read full abstract & cite →

Gamification Agile methodology mobile applica-tion

Abstract doi.org/10.14569/SpecialIssue.2018.090183 PDF

84

A Framework to Implement a U-Learning Service based on Software-Defined Television

Author 1: Gustavo Moreno López Author 2: Jovani Jiménez

This paper aims to propose a framework to implement a ubiquitous learning service based on software -defined television (Sw-de TV) under the approach of software-defined everything and cloud computing. The lack of u-learning frameworks and the little convergence of infrastructure and flexibility in educational contexts are some challenges to overcome… Read full abstract & cite →

U-learning cloud computing framework software –defined TV multi-screen

Abstract doi.org/10.14569/SpecialIssue.2018.090184 PDF

85

The Virtual Breadboard: Helping Students to Learn Electrical Engineering at a Distance

Author 1: Lori Scarlatos Author 2: Ahmad Pratama Author 3: Tatiana Tchoubar

This paper presents an interactive virtual breadboard system that provides automated guidance to electrical engineering students working on electronic circuits labs. The primary contribution of the paper is the unique invariant representation of the state of the breadboard, which enables instructors to develop their own lab assignments with a set… Read full abstract & cite →

Virtual breadboard circuit design guide-on-the-side distance learning digital hints user interface

Abstract doi.org/10.14569/SpecialIssue.2018.090185 PDF

86

Requirements Model for an Integrated Attendance Monitoring System (IAMS)

Author 1: Joshua C. Nwokeji Author 2: Anugu Apoorva Author 3: Ayodele Olagunju Author 4: Steve Frezza

Attendance monitoring systems (AMS) are important educational systems used to monitor student attendance and interest in a given course. The expected benefits of AMS are, among others, to improve student engagement, performance, and retention. The functionalities of most traditional AMS are however limited to recording and reporting attendance. Beyond these… Read full abstract & cite →

Learning management system attendance management systems feature tree model student engagement

Abstract doi.org/10.14569/SpecialIssue.2018.090186 PDF

87

Designing Biosecurity Concentration for Interdisciplinary Majors

Author 1: Hongmei Chi Author 2: Satyanarayan Dev

This manuscript deals with the design and expansion of a highly successful cybersecurity program in a minority serving university through contemporary education and training methods in biosecurity for students who major in other disciplines, such as biological systems engineering and biotechnology. The key efforts will focus on curriculum development by… Read full abstract & cite →

Biosecurity biosafety cybersecurity information assurance active learning

Abstract doi.org/10.14569/SpecialIssue.2018.090187 PDF

88

Knowledge Management Metamodel from Social Analysis of Lessons Learned Recorded in the Cloud

Author 1: JOSE FERNANDO LOPEZ QUINTERO Author 2: CARLOS MONTENEGRO Author 3: Medina V Author 4: Yuri Nieto

This article describes the development of a prototype of a metamodel for Personal Knowledge Management (GCP), which is defined and implemented based on the “Lessons Learned”, registered on a social network for mass use. The functional architecture is applied in the implementation of a registration system and personal lessons learned… Read full abstract & cite →

Knowledge management personnel knowledge management lessons learned semantic analysis cloud computing social networks machine learning

Abstract doi.org/10.14569/SpecialIssue.2018.090188 PDF

89

Quantum Computing in Geometric Algebra Formalism: Light Beam Guide Implementation

Author 1: Alexander Soiguine

Keeping in mind that existing problems of conventional quantum mechanics could happen due of a wrong mathematical structure, I suggest an alternative basic structure. The critical part of it is modifying commonly used terms “state”, “observable”, “measurement” and giving them a clear unambiguous definition. This concrete definition, along with the… Read full abstract & cite →

Quantum computing geometric algebra states observables measurements light polarization

Abstract doi.org/10.14569/SpecialIssue.2018.090189 PDF

90

Digital Transformation and Industry 4.0 as a Complex and Eclectic Change

Author 1: Frank Otto Author 2: Christian-Andreas Schumann Author 3: Jens Baum Author 4: Eric Forkel

New technologies and possibilities summarized under the keyword Digital Transformation induce massive changes in the organizations’ processes and will lead to tremendous challenges for almost all businesses. Existing business models will be expanded or replaced by digitally driven services. The Industry 4.0 with its autonomous cyber physical production systems and… Read full abstract & cite →

Digitalization Digital Transformation industry 4.0 interoperability semantic database quality assurance innovation

Abstract doi.org/10.14569/SpecialIssue.2018.090190 PDF

91

Meeting Halfway: Is Driverless-cars the Solution to Saudi Women Driving Ban?

Author 1: Mariam Elhussein Author 2: Mohammed Abdulrahman Alqahtani

Driverless-car is a technology from the future that seems to be a reality sooner than expected. All countries around the world are assessing their readiness to adopt the change. For many, it is a technology that promises safer roads and better environment, and a huge economical shift. For Saudi women… Read full abstract & cite →

Driverless-cars social computing technology readiness autonomous cars

Abstract doi.org/10.14569/SpecialIssue.2018.090191 PDF

92

Reliable Innovative Business Model for Online Trading of Machines’ Parameters in the Automation and Manufacturing Sector

Author 1: Ghaidaa Shaabany Author 2: Reiner Anderl

By new manufacturing processes, materials and/or environmental conditions new machine’s parameters are needed. In general, finding the right machines’ parameters of the machine is achieved by a long work effort and high costs. It is important to find the right machines’ parameters of a machine to execute every manufacturing process… Read full abstract & cite →

Manufacturing processes machines’ parameters new added-value B2B business usage control policy licensing models security protection measurements online marketplace business model electronic goods

Abstract doi.org/10.14569/SpecialIssue.2018.090192 PDF

93

Detecting Cropping Patterns of Underutilized Crops using Online Big Data

Author 1: Ayman Salama Mohamed Author 2: Ebrahim Jahanshiri Author 3: Tomas Henrique Maul

Crop that are currently underutilized can play a major role in diversifying food sources and combating climate variability. One major obstacle for wider adoption of these species is the lack of information on the geographic areas where these crops are currently grown. These crops are typically grown in marginal lands… Read full abstract & cite →

Underutilised crops data mining Google keywords cropping patterns

Abstract doi.org/10.14569/SpecialIssue.2018.090193 PDF

94

Reinforced Experience Generator based on Query Nature and Data Bulking

Author 1: Mazhar Hameed Author 2: Hiba Khalid Author 3: Usman Qamar

The technology advancement has given a more enlightened perspective on developing recent solutions. The advancement of imitating the human brain has achieved some milestones that are providing promising results. However, the technicalities and reliance between different computing entities still remains a concern. This research provides a module based framework that… Read full abstract & cite →

Big data Online Analytical Processing (OLAP) Online Transactional Processing (OLTP) contextual query scientific data management

Abstract doi.org/10.14569/SpecialIssue.2018.090194 PDF

95

Calculation of Pressure Loss Coefficients in Combining Flows of a Solar Collector using Artificial Neural Networks

Author 1: Shahzad Yousaf Author 2: Imran Shafi

The paper presents a novel technique for determination of loss coefficients due to pressure by use of artificial neural network (ANN) in tee junctions. Geometry and flow parameters are feed into ANN as the inputs for purpose of training the network. Efficacy of the network is demonstrated by comparison of… Read full abstract & cite →

Artificial neural network pressure loss coefficients for solar collector combining flow

Abstract doi.org/10.14569/SpecialIssue.2018.090195 PDF

96

Goal based Tailoring of Quality Models for Quality Requirements

Author 1: Arfan Mansoor Author 2: Detlef Streitferdt Author 3: Elena Rozova Author 4: Qaiser Abbas

Context and motivation: Elicit mean to gather, acquire or to extract while requirements elicitation mean to gather or discover requirements. The activity is performed to determine the system requirements from stakeholders, system documents, domain knowledge and from other requirements sources. Question/problem: Requirements engineering is the most important part for a… Read full abstract & cite →

Requirements goal models quality models meta model

Abstract doi.org/10.14569/SpecialIssue.2018.090196 PDF

97

Herbert Test Helping Hire Software Developers: A Complex Algorithmic Problem Solving Tool

Author 1: Soraya Cardenas

Companies that hire software developers face challenges hiring employees. As the cost of hiring developers can cost up to hundreds of thousands of dollars, depending on expertise of the desired candidate, companies must rely on a multi-method approach to secure competent developers. This paper evaluates the “Herbert” test, an algorithmic… Read full abstract & cite →

Algorithms evaluations problem-solving and hiring software developers

Abstract doi.org/10.14569/SpecialIssue.2018.090197 PDF

98

The Effect of Applying Software Design Patterns on Real Time Software Efficiency

Author 1: Wan Nurhayati Wan Ab Rahman Author 2: Muhammad Ehsan Rana

Real time applications are one of the fastest growing applications in the market due to their popularity, business value and the fact that web is their native environment. As a result, enhancing the performance of these applications has always been a concern for the IT industry. In this research, we… Read full abstract & cite →

Design patterns real time software real time applications software performance software efficiency

Abstract doi.org/10.14569/SpecialIssue.2018.090198 PDF

99

Pair Programming: Collocated Vs. Distributed

Author 1: Mark Rajpal

Collocation is almost always a preferred alternative compared to Distributed. It makes sense that collocated team members are more likely to perform better than distributed team members. However, in today’s real world the distributed nature is either the norm or quickly becoming the norm. That is not to say that… Read full abstract & cite →

Agile scrum pair programming extreme programming

Abstract doi.org/10.14569/SpecialIssue.2018.090199 PDF

100

Modeling Trust in the Mobile User Experience: System Quality Characteristics Influencing Trust

Author 1: Philip Lew Author 2: Luis Olsina

As the mobile world continues to expand an Internet of Things and Networks of Everything, we find that our lives, while becoming more convenient also come with ties. These ties are based on many interconnections between people and software, and it is critical to ensure that we trust these ties… Read full abstract & cite →

Trust quality model system/system-in-use quality view mobile user experience

Abstract doi.org/10.14569/SpecialIssue.2018.0901100 PDF

101

Defining a DSL for Transmission Pipeline Systems Metamodeling

Author 1: Bunakiye Japheth Author 2: Acheme I. David

Transmission pipeline systems metamodeling is simply reengineering pre-constructed notations and abstractions of the pipeline engineering domain in a form that offer expressive power for the domain expert to create designs that suits the intended transmission pipeline project. The required formality that can provide such expressive power is a domain specific… Read full abstract & cite →

Formal specifications semantic mappings petroleum industry pipeline design modeling platform

Abstract doi.org/10.14569/SpecialIssue.2018.0901101 PDF

102

Systems Software for Fast Inter-Machine Page Faults

Author 1: Joel Nider Author 2: Mike Rapoport Author 3: Yiftach Binyamini

Cloud computing abstracts the underlying hard-ware details from the user. As long as the customer Service Level Agreements (SLA) are satisfied, cloud providers and operators are free to make infrastructural decisions to optimize business objectives, such as operational efficiency of cloud data centers. By adopting a holistic view of the… Read full abstract & cite →

cloud post-copy migration page fault low latency interconnect

Abstract doi.org/10.14569/SpecialIssue.2018.0901102 PDF

103

Systematic Review of Trends and Gaps in Collaborative Software Engineering in the Cloud

Author 1: Stanley Ewenike Author 2: Elhadj Benkhelifa Author 3: Claude Chibelushi

This paper presents a review of trends and challenges in collaborative Software Engineering. Due to the nature and size of large-scale Software Engineering projects, effective collaboration is important and necessary. Hence, it is not uncommon to see the adoption of a remix of practices, models, methodologies, tools and skills. However… Read full abstract & cite →

Collaborative software engineering software development process models trends cloud computing collaboration systematic review

Abstract doi.org/10.14569/SpecialIssue.2018.0901103 PDF

104

An SDN-based Architecture for Security Provisioning in Fog-to-Cloud (F2C) Computing Systems

Author 1: Sarang Kahvazadeh Author 2: Vitor Barbosa Author 3: Xavier Masip-Bruin Author 4: Eva Marín-Tordera

The unstoppable adoption of cloud and fog computing is paving the way to developing innovative services, some requiring features not yet covered by either fog or cloud computing. Simultaneously, nowadays technology evolution is easing the monitoring of any kind of infrastructure, be it large or small, private or public, static… Read full abstract & cite →

IoT cloud computing fog computing fog-to-cloud computing security Software Defined Network (SDN) critical infrastructures

Abstract doi.org/10.14569/SpecialIssue.2018.0901104 PDF

105

The Relationship between Biometric Technology and Privacy: A Systematic Review

Author 1: Zibusiso Dewa

As the demand for biometric technology grows its very implementation appears poised for broader use and increased concerns with regard to privacy have been raised. Biometric recognition is promoted in a variety of private and government domains, helping to identify individuals or criminals, provide access control systems to enable efficient… Read full abstract & cite →

Biometric technology privacy legislation evolving practices invasiveness conflicting interests European Union

Abstract doi.org/10.14569/SpecialIssue.2018.0901105 PDF

106

Continuous Authentication in Smartphones: An Analysis on Robust Security Practices

Author 1: Sajjad Ahmad Author 2: Munam Shah Author 3: Adnan Zeb Author 4: Hussain Ahmad Madni

The current authentication systems in smart phones are classified as static or one shot authentication schemes in which the user is validated at a single point. The existing authentication systems cannot recognize the difference between an intruder and a legitimate user if the security credentials like passwords have been leaked… Read full abstract & cite →

Continuous authentication security mobile sharing TIPS SenGuard SilentSense GeoTouch gestures key strokes

Abstract doi.org/10.14569/SpecialIssue.2018.0901106 PDF

107

Secure Fast Fourier Transform using Fully Homomorphic Encryption

Author 1: Thomas Shortell Author 2: Ali Shokoufandeh

Secure signal processing is becoming a de facto model for preserving privacy. We propose a model based on the Fully Homomorphic Encryption (FHE) technique to mitigate security breaches. Our framework provides a method to perform a Fast Fourier Transform (FFT) on a user-specified signal. Using encryption of individual binary values… Read full abstract & cite →

Image processing computer security Fast Fourier Transforms

Abstract doi.org/10.14569/SpecialIssue.2018.0901107 PDF

108

Text Dependent Voice Recognition System using MFCC and VQ for Security Applications

Author 1: Ashwin Nair Anil Kumar Author 2: Senthil Arumugam Muthukumaraswamy

This paper presents the implementation of a practical voice recognition system using MATLAB (R2014b) to secure a given user’s system so that only the user may access it. Voice recognition systems have two phases, training and testing. During the training phase, the characteristic features of the speaker are extracted from… Read full abstract & cite →

Speaker identification voice recognition mel frequency cepstral coefficients (MFCCs) vector quantization (VQ) spectral subtraction

Abstract doi.org/10.14569/SpecialIssue.2018.0901108 PDF

109

A Novel Scan2Pass Architecture for Enhancing Security towards E Commerce

Author 1: Hamzah F. Zmezm Author 2: Hareth Zmezm Author 3: Mustafa S.Khalefa Author 4: Hamid Ali Abed Alasadi

Widely deployed web services facilitate and enrich several applications, such as e-commerce, social networks, and online banking. This study proposes an optical challenge-response user authentication system model based on the One Time Password (OTP) principle (Scan2Pass) that use multifactor authentication and leverage a camera equipped mobile phone of the legitimate… Read full abstract & cite →

Electronic commerce authentication one time password performance and reliability

Abstract doi.org/10.14569/SpecialIssue.2018.0901109 PDF

110

Piezoelectric based Biosignal Transmission using Xbee

Author 1: Mahmoud Al Ahmad Author 2: Soha Ahmed Author 3: Walid Shakhatreh Author 4: Mohammed Jalil

This paper is showcasing the development of an innovative healthcare solution that will allow patient to be monitored remotely. The system utilizes a piezoelectric sheet sensor and XBee wireless communication protocol to collect and transmit heart beat pressure signal from human subject neck to a receiving node. Then, using signal… Read full abstract & cite →

Piezoelectric XBee medical sensors vital signs remote health monitoring

Abstract doi.org/10.14569/SpecialIssue.2018.0901110 PDF

111

Distortion Search – A Web Search Privacy Heuristic

Author 1: Kato Mivule Author 2: Kenneth Hopkinson

Search engines have vast technical capabilities to retain Internet search logs for each user and thus present major privacy vulnerabilities to both individuals and organizations in revealing user intent. Additionally, many of the web search privacy enhancing tools available today require that the user trusts a third party, which make… Read full abstract & cite →

Web search privacy query obfuscation user profile privacy user intent obfuscation

Abstract doi.org/10.14569/SpecialIssue.2018.0901111 PDF

112

Sensor-based Ransomware Detection

Author 1: Mitch Thornton Author 2: Michael A. Taylor Author 3: Kaitlin N. Smith

A new method for detection of ransomware that is present in an infected host during its payload execution is proposed and evaluated. Data streams from on-board sensors present in modern computing systems are monitored and appropriate criteria are used that enable the sensor data to effectively detect the presence of… Read full abstract & cite →

Ransomware detection physical sensor side channel feature vector encryption

Abstract doi.org/10.14569/SpecialIssue.2018.0901112 PDF

113

A Novel Biometric based on Neural Representations of Synergistic Hand Grasps

Author 1: Vrajeshri Patel Author 2: Martin Burns Author 3: Ionut Florescu Author 4: Rajaratnam Chandramouli

To meet the growing need of robust and secure identity verification systems, a new biometric based on neural representations of synergistic hand grasps is proposed here. In this preliminary study five subjects were asked to perform six synergistic hand grasps that are shared most often in common activities of daily… Read full abstract & cite →

Biometrics hand synergies quadratic discriminant classifier electroencephalography (EEG) feature extraction

Abstract doi.org/10.14569/SpecialIssue.2018.0901113 PDF

114

Security Threats and Techniques in Social Networking Sites: A Systematic Literature Review

Author 1: Azah Norman Author 2: Maw Maw Author 3: Suraya Hamid Author 4: Suraya Ika Tamrin

During the decade, interactions among people have gradually changed as a result of the popularity, availability and accessibility of social networking sites (SNSs). SNSs enhance our lives in terms of relaxation, knowledge, and communication. On the other hand, the information security and privacy of SNS users have been threatened with… Read full abstract & cite →

Social networking sites (SNS) security privacy security techniques systematic literature review (SLR)

Abstract doi.org/10.14569/SpecialIssue.2018.0901114 PDF

115

Management of Privacy When Photos and Videos are Stored or Shared

Author 1: Srinivas Madhisetty

Extensive research has been conducted in the technical side by managing privacy using mechanisms such as encryption, passwords, etc. However, the core issues of privacy are not addressed. This is particularly evident when photos and videos are shared via social media. The main problem is that the actual meaning of… Read full abstract & cite →

Privacy photos and videos conceptual framework

Abstract doi.org/10.14569/SpecialIssue.2018.0901115 PDF

116

Secure Two-Factor Authentication with SwissPass Crypto Card: A Case Study

Author 1: Annett Laube Author 2: Reto Koenig

Two-factor authentication requires two pieces of independent evidence, mostly one based on possession and the sec-ond based on knowledge. The major drawback of these methods are usability and the costs to procure and (re)place the hardware token. The SwissPass is a contactless crypto card mainly used to inspect travel tickets… Read full abstract & cite →

Authentication mobile applications smart cards privacy

Abstract doi.org/10.14569/SpecialIssue.2018.0901116 PDF

117

Identifying and Scoring Vulnerability in SCADA Environments

Author 1: Abdullah Abuhussein Author 2: Parves Kamal Author 3: Sajjan Shiva

Supervisory Control and Data Acquisition (SCADA) systems form a critical component to industries such as national power grids, manufacturing automation, nuclear power production and more. By interacting with control machines and providing real-time support to monitor, gather, and record data, SCADA systems show major impact in industrial environments. Along with… Read full abstract & cite →

Supervisory Control and Data Acquisition (SCADA) security critical infrastructure security SCADA risk assessment vulnerability scoring

Abstract doi.org/10.14569/SpecialIssue.2018.0901117 PDF

118

Achieving Flatness: Honeywords Generation Method for Passwords based on User Behaviours

Author 1: Omar Akif Author 2: H. S. Al-Raweshidy Author 3: G. J. Rodgers

Honeywords (decoy passwords) have been proposed to detect attacks against hashed password databases. For each user account, the original password is stored with many honeywords in order to thwart any adversary. The honeywords are selected deliberately, such that a cyber-attacker who steals a file of hashed passwords cannot be sure… Read full abstract & cite →

Honeywords user behaviours worst password list dictionary attack

Abstract doi.org/10.14569/SpecialIssue.2018.0901118 PDF

119

NanoRFID/Computers: Developments and Implications

Author 1: Mario Cardullo Author 2: Robert Meagley

True nano RFID/Computers (NRs) will represent a major change in the way many things are done. This technology will truly enable fulfillment of the promise of the Internet of Things (IoT). NR’s could have as transformative impact on the world as the Internet and personal computer have. They could provide… Read full abstract & cite →

Nanoscale Internet of Things (IoT) Internet of Everything RFID nano-computers nano RFID/Computer (NR)

Abstract doi.org/10.14569/SpecialIssue.2018.0901119 PDF

120

A Cost-Efficient Look-Up Table based Binary Coded Decimal Adder Design

Author 1: Zarrin Tasnim Sworna Author 2: Mubin Ul Haque Author 3: Hafiz Md. Hasan Babu Author 4: Lafifa Jamal

The Binary Coded Decimal (BCD) being the more accurate and human-readable representation with ease of conver-sion, is prevailing in the computing and electronic communication. In this paper, a tree-structured parallel BCD addition algorithm is proposed with the reduced time complexity O(􀀀􀀀􀀁􀀂􀀃2 􀀁􀀄 􀀅 􀀀􀀀 − 􀀆􀀄􀀄, where 􀀀 = number… Read full abstract & cite →

Adder Binary Coded Decimal (BCD) Field Pro-grammable Gate Array (FPGA) Look-Up Table (LUT) correction

Abstract doi.org/10.14569/SpecialIssue.2018.0901120 PDF

121

Augmented Efficiency of CLA Logic through Multiple CMOS Configurations

Author 1: Naga Spandana Muppaneni Author 2: Steve C.Chiu

Adders are the basic building blocks in the digital systems. Addition is an indispensable operation in digital, analog and control systems. Performance optimization of a digital adder relies on the parameters such as power, speed and area. Much research has been going on in optimizing the delay and power dissipation… Read full abstract & cite →

Carry-lookahead adder (CLA) performance optimization simulations transistor sizing power dissipation Tanner EDA tools

Abstract doi.org/10.14569/SpecialIssue.2018.0901121 PDF

122

FSR based Force Myography (FMG) Stability Throughout Non-Stationary Upper Extremity Tasks

Author 1: Carlo Menon Author 2: Mona Lisa Delva

Force Myography (FMG) is a method of tracking movement and functional activity that is based on the volumetric changes that occur in a limb during muscle contraction. There are several advantages of FMG over other myographic modalities that support its implementation in rehabilitative and assistive technology to track upper extremity… Read full abstract & cite →

Activities of daily living age-related rehabilitation assistive technology biomedical devices human factors independent living prosthetic control sensors/sensor application force myography

Abstract doi.org/10.14569/SpecialIssue.2018.0901122 PDF

123

Reliable High Density Stacked Memristor Memory Designs

Author 1: Selvakumaran Vadivelmurugan

A conventional design has an insulator layer for every crossbar layer stacked. Methodology for alternatively selecting memristor layers and methodology for proper operation are proposed. It would help increasing the vertical density of stacked memristor crossbar arrays. It is the maximum possible memory density design for crossbar stacks. While still… Read full abstract & cite →

Random access storage very-large-scale integration (VLSI) analog circuits

Abstract doi.org/10.14569/SpecialIssue.2018.0901123 PDF

124

Development of an Android-based Student Information System Application

Author 1: Tariq Jamil Author 2: Iftaquaruddin Mohammed

Today’s smartphones have developed into advanced computer systems with enormous photo and video capabilities, larger touch-screens, ubiquitous internet access, and powerful global positional location services. There are numerous applications available nowadays that provide a wide range of services to smartphones’ users in almost every area of daily life, such as… Read full abstract & cite →

Smartphones mobile android SIS

Abstract doi.org/10.14569/SpecialIssue.2018.0901124 PDF

125

Spatio-Temporal Proximity Assistance

Author 1: Kashif Rizwan Author 2: Nadeem Mahmood Author 3: S A K Bari Author 4: Zain Abbas

Ample amount of time spent in locating, finding and procuring desired items in wish list of our daily life necessities. Usually the list of desirable items is prepared when the person is not near to desired items. It would be convenient to have an assistance application that lure people on… Read full abstract & cite →

Spatio-temporal geo-fence smart personal assistant push notification IoT cloud

Abstract doi.org/10.14569/SpecialIssue.2018.0901125 PDF

126

Software Defined Radio and Long Term Evolution (LTE) for Community Benefit

Author 1: Emil Salib Author 2: Andrew M. Funkhousher

Long Term Evolution (LTE) is the current leading data transfer technology in the cellular industry and is used daily by people nationwide on multiple carriers to access their on-line services and networked applications. However, the service quality and access to this technology differ among cellular service providers due to the… Read full abstract & cite →

Software Defined Radio (SDR) Long Term Evolu-tion (LTE) Radio Frequency (RF) drive test heat map LTESub

Abstract doi.org/10.14569/SpecialIssue.2018.0901126 PDF

127

Propagation Models Calibration in Mobile Cellular Networks: A Case Study in Togo

Author 1: Adekunlé A. Salami Author 2: Ayité S. A. Ajavon Author 3: Koffi A. Dotche Author 4: Koffi Sa-Bedja

Many efforts have been made to come out with some propagation models that should be suitable to the area of interest. Therefore, this raises the issue of the environment and its characteristics. This perspective has led to environment’s classification with some specific models, which in turn are embedded in planning… Read full abstract & cite →

Propagation models tuning COST-231 SUI-Model received signals drive testing

Abstract doi.org/10.14569/SpecialIssue.2018.0901127 PDF

128

Angular and the Trending Frameworks of Mobile and Web-based Platform Technologies: A Comparative Analysis

Author 1: Mohamed Sultan

Recently, numerous new mobile and web-based application frameworks have been released and adopted in both communities of software development industry and research. For example, there are currently the KnockoutJS, BackboneJS and ReactJS frameworks competing together with the different (entirely different) versions of ‘Angular’ frameworks. While some of these new frameworks… Read full abstract & cite →

Angular mobile and web-based applications front-end JavaScript frameworks

Abstract doi.org/10.14569/SpecialIssue.2018.0901128 PDF

129

Performance Evaluation of Real Time MIMO testBED using NI-2922 Universal Software Radio Peripheral

Author 1: Aliyu Buba Abdullahi Author 2: Akram Hammoudeh Author 3: Rafael F. S.

In the recent years, wireless communication integration with mm-Wave spectrum makes fifth generation (5G) gained tremendous research interest, as a result of scarce resources. This challenged the design paradigm of the previous fourth generation (4G) radio access technology. As the key to future 5G systems, Multiple Input Multiple Output (MIMO)… Read full abstract & cite →

Universal Software Radio Peripheral (USRP) Multiple Input Multiple Output (MIMO) testBED Spatial Diversity (SD) Space Time Block Coding (STBC) bit error rate (BER)

Abstract doi.org/10.14569/SpecialIssue.2018.0901129 PDF

130

Scheme to Make MANET Selfheal Stable Routing Protocol

Author 1: ashwani kush Author 2: C.J. Hwang Author 3: Rosy Pawar

Wireless networking is the latest trend. In all unpredictable and changing environments this networking has enormous applications. Business organizations and all users of various fields choose wireless. This is because of the reason that it allows flex¬ibility of location. The attribute to support this is mobility, portability, and ease of… Read full abstract & cite →

MANET AODV security stable routing

Abstract doi.org/10.14569/SpecialIssue.2018.0901130 PDF

131

Markov Decision Processes for Bitrate Harmony in Adaptive Video Streaming

Author 1: Koffka Khan Author 2: Wayne Goodridge

It has become common for many devices to share bottleneck links when users watch streaming video. When the DASH standard is used for adaptive video streaming over HTTP it has been found that good Quality of Experience (QoE) among video players become a critical issue. Markov Decision Processes (MDP) is… Read full abstract & cite →

Bottleneck links DASH Markov Decision Process adaptive streaming Quality of Experience (QoE)

Abstract doi.org/10.14569/SpecialIssue.2018.0901131 PDF

132

Low Computational Complexity of SC Polar Decoder in MIMO Fading Channel

Author 1: Alaa Abdulameer Hasan

Motivated by large capacity gains in multiple an-tenna systems when ideal channel state information (CSI) is available at both receiver and transmitter and quadrature am-plitude modulation (QAM) is applied, we examine the achievable rates of Rayleigh fading channel measurement based optimization techniques. We consider complex-valued noise Gaussian distri-bution and try… Read full abstract & cite →

Polar codes MIMO fading channel Hermite poly-nomials channel capacity

Abstract doi.org/10.14569/SpecialIssue.2018.0901132 PDF

133

Data Communication Quality in Mobile Broadband Access Networks: Radio Propagation Environment Impact and End-User Achievements

Author 1: Joseph Isabona Author 2: Anthony Osaigbovo Igbinovia

The need for efficient radio channel quality measurement to support planning, operations and management of data communication networks has increased nowadays. An important parameter for measuring data communication quality of a radio network is channel throughput. In this research work, the impact of end-user location and radio propagation channel environmental… Read full abstract & cite →

Mobile broadband radio propagation channel radio propagation environment end-user location channel throughput

Abstract doi.org/10.14569/SpecialIssue.2018.0901133 PDF

134

Implementation and Performance Analysis of Probabilistic Cognitive Relaying Communication Demo

Author 1: Amith Khandakar Author 2: Amr Mohamed

Cognitive Relaying is the concept where secondary users (SUs) help primary users (PUs) by relaying its traffic. This paper aims to propose the possibility of studying and comparing the performance of cognitive relaying using an experimental framework developed with USRP2. Probabilistic Relaying and Scheduling is practically implemented and its effect… Read full abstract & cite →

Cognitive Relaying GNU Radio Probabilistic Relaying USRP2

Abstract doi.org/10.14569/SpecialIssue.2018.0901134 PDF

135

Stochastic Power Modeling of Wireless Sensor Networks for Mission Critical Systems

Author 1: P. Venkata Krishna Author 2: T. S. Pradeepkumar Author 3: Mohammad S. Obaidat Author 4: V. Saritha

Wireless Sensor nodes consist of communication devices, physical devices (environmental Sensors), processing unit, memory and radio. Optimizing the power consumed by the sensor nodes is always a challenge. The power consumed during communication is high. Therefore, optimizing the power and energy during communication is really necessary. This paper addresses this… Read full abstract & cite →

Wireless sensor networks simulation Semi Markov Decision Process (SMDP) Markov process dynamic programming

Abstract doi.org/10.14569/SpecialIssue.2018.0901135 PDF

136

Hybridized Optimization Framework for Routing Calls in Call Centres

Author 1: Mughele Ese Sophia Author 2: Stella Chiemeke Author 3: Konyeha Susan Author 4: Kingsley Ukaoha

The major challenges in a call centre with respect to customer satisfaction has to do with waiting time on the queue for long period of time before they are attended to. Beyond the problem of queue is the nature of the service itself, the effective resolution of the customer issues… Read full abstract & cite →

Optimization hybrid rule routing rule queue call centre call resolution

Abstract doi.org/10.14569/SpecialIssue.2018.0901136 PDF

137

Network Traffic Observations in Data Centers and Forecasting Techniques for Resource Utilization

Author 1: Samar Raza Talpur

Data Center have decisive role in online corporate world. At present these data centers are not only house of servers, switches and routers, but to provide speedy services to vendors and uninterrupted network connectivity to client’s websites. The importance of managing data center traffic, forecasting tech-niques for resource utilization are… Read full abstract & cite →

Network engineering traffic optimization exponen-tial smoothing method forecasting techniques

Abstract doi.org/10.14569/SpecialIssue.2018.0901137 PDF

138

A Survey of Routing Protocols for Underwater Wireless Sensor Networks

Author 1: Samera Batool Author 2: Muazzam A. Khan Khattak Author 3: Nazar Abbas Saqib Author 4: Saad Rehman

Advancement in network sensor technology has contributed a lot towards a better society and has opened new avenues of research. Underwater Wireless Sensor Networks (UWSN) attracts a lot of attention of the researchers, due to its military applications, environmental monitoring and prediction of natural disaster. Vibrant underwater weather conditions and… Read full abstract & cite →

Underwater Wireless Sensor Networks Wireless Sensor Networks

Abstract doi.org/10.14569/SpecialIssue.2018.0901138 PDF

139

Personalized E-Learning Recommender System using Multimedia Data

Author 1: Hayder Murad

Due to the huge amounts of online learning materials, e-learning environments are becoming very popular as means of delivering lectures. One of the most common e-learning challenges is how to recommend quality learning materials to the students. Personalized e-learning recommender systems help to reduce information overload, which tailor learning material… Read full abstract & cite →

eLearning recommender system data mining

Abstract doi.org/10.14569/SpecialIssue.2018.0901139 PDF

140

A Smart Vision System for Monitoring Specialty Crops

Author 1: Duke M. Bulanon

Precision agriculture involves observing the crop production process and applying appropriate actions to improve production efficiency. In this paper, a smart vision system is developed to monitor specialty crops which include fruits and vegetables. The smart vision system is composed of the image acquisition module and the image processing element… Read full abstract & cite →

Digital image processing machine vision remote sensing specialty crops

Abstract doi.org/10.14569/SpecialIssue.2018.0901140 PDF

141

Analysis of a Modified OFDM System Minimizing Frequency Offset by Dividing Subchannels

Author 1: Deock-Ho Ha Author 2: Kyu-il Han

This paper reviews and introduces a modified CPD-OFDM (Orthogonal Frequency Division Multiplexing with cross polarization diversity structure) system improving the system performance degradation due to the frequency offset. In the conventional OFDM system, the frequency offset causes the ICI (inter-channel interference) and degrades signal-to-noise ratio in the receiving end. The… Read full abstract & cite →

Modified CPD-OFDM diversity structure divides sub-channel minimizing frequency offset improving performance

Abstract doi.org/10.14569/SpecialIssue.2018.0901141 PDF

142

Dual Generators and Double Motors Measurement and Control System

Author 1: Wenlun CAO Author 2: Bei CHEN

In this paper, a SCADA (supervisor control and data acquisition) system HMI (human machine interface) software was been implemented based on a driver system which consisted by double generators and double motors. This software was been implemented by NI Labview based on the CAN bus. Meanwhile the dynamical monitoring and… Read full abstract & cite →

Supervisor control and data acquisition (SCADA) human machine interface (HMI) testing system Labview Can2.0B

Abstract doi.org/10.14569/SpecialIssue.2018.0901142 PDF

143

Exploiting Gaussian Word Embeddings for Document Clustering

Author 1: Inzamam Rahaman Author 2: Patrick Hosein

Every day, millions of documents in the form of articles, tweets, and blog posts are generated by Internet users. Many of these documents are not annotated with labels making the task of retrieving similar documents non-trivial. The process of grouping similar unannotated documents together is called document clustering. When properly… Read full abstract & cite →

Document clustering word embeddings informa-tion retrieval

Abstract doi.org/10.14569/SpecialIssue.2018.0901143 PDF

144

Smart System to Prevent Child Vehicular Heatstroke

Author 1: Dylan Howell Author 2: Sara Talley Author 3: Samwoo Seong

This project is a microcontroller based system to prevent children from being left unattended in a hot vehicle. Some products claiming to help prevent vehicular heatstroke are available, but they are marketed to end users rather than to automotive OEMs. The undergraduate engineering students created a system to raise the… Read full abstract & cite →

Vehicular heatstroke Bluetooth microcontroller

Abstract doi.org/10.14569/SpecialIssue.2018.0901144 PDF

145

Image Retrieval using Graphs

Author 1: Daniel Valdes-Amaro Author 2: Carlos Guillen-Galvan

Content-Based Image Retrieval has been a fast advancing area since the 1990s decade, with the Internet growth and the technology available that provides an easy access to acquire images. Hence, image data requires to be organized so that image database queries can result as fast as possible, even though the… Read full abstract & cite →

Content-based image retrieval interest point detec-tion algorithms graph theory delaunay triangulations

Abstract doi.org/10.14569/SpecialIssue.2018.0901145 PDF

146

Disaster Relief with Satellite based Synthetic Aperture Radar: SAR

Author 1: Shogo Kajiki Author 2: Hiroshi Okumura Author 3: Kohei Arai

Disaster relief with satellite bases Synthetic Aperture Radar (SAR) is conducted. SAR can be used for disaster relief. Interferometric SAR (IN-SAR) allows elevation estimation. Therefore, it is applicable to estimate seismic changes, elevation changes due to earthquake, land slide, slope collapse, etc. Experiments are conducted for the earthquake disaster which… Read full abstract & cite →

Synthetic Aperture Radar (SAR) interferometry disaster relief earthquake water flooding

Abstract doi.org/10.14569/SpecialIssue.2018.0901146 PDF

147

Service for Professional Predictive Learning of Skills based on the Patent Analysis of Technologies

Author 1: Dmitry Ilin Author 2: Evgeny Nikulchev Author 3: Gregory Bubnov Author 4: Egor Mateshuk

In the high-tech and intensively developing sectors of the economy, including the IT industry, the composition of the professional skills and competencies necessary for successful work of specialists is rapidly changing. This is happening due to the dynamics of the composition and capabilities of key and applied technologies. Experts working… Read full abstract & cite →

Online social networks social networking sites technology life cycle predictive learning patent activity analysis professional skills topic detection LinkedIn ResearchGate labor market scalable services decision making support Node.JS

Abstract doi.org/10.14569/SpecialIssue.2018.0901147 PDF

148

Cognitive Analysis of 360 Degree Surround Photos

Author 1: Madhawa Vidanapathirana Author 2: Lakmal Buddika Meegahapola Author 3: Indika Perera

360 degrees surround photography or photospheres have taken the world by storm as the new media for content creation providing viewers rich, immersive experience compared to conventional photography. With the emergence of Virtual Reality as a mainstream trend, the 360 degree photography is increasingly important in offering a practical approach… Read full abstract & cite →

360 photography image processing photosphere cognition 360 degree surround photography

Abstract doi.org/10.14569/SpecialIssue.2018.0901148 PDF

149

A Comparative Survey Study on LPWA Networks: LoRa and NB-IoT

Author 1: Munguakonkwa Emmanuel Migabo Author 2: Karim Djouani Author 3: Anish Kurien Author 4: Thomas Olwal

According to recent studies, billions of objects are expected to be connected wirelessly by 2020. The Low Power Wide Area (LPWA) networks are already playing an important role in connecting billions of new devices making up the IoT. Long Range (LoRa) and Narrowband-IoT (NB-IoT) are currently the two leading technologies… Read full abstract & cite →

Low Power Wide Area (LPWA) Long Range (LoRa) Narrowband IoT (NB-IoT) comparative energy efficiency quality of service (QoS)

Abstract doi.org/10.14569/SpecialIssue.2018.0901149 PDF

150

Class Engagement Analyzer using Facial Feature Classification

Author 1: ROY MANSERAS Author 2: Thelma D. Palaoag Author 3: ALVIN MALICDEM

Effective education system can be evaluated through its Input-Process-Output framework implementation. Quality instruction is one of the input component indicators which includes student engagement as its binding measure. In classroom environment, facial expression are used by teachers to measure the affect state of the class. Incorporating technology in education help… Read full abstract & cite →

Class engagement affective computing facial fea-ture extraction action units

Abstract doi.org/10.14569/SpecialIssue.2018.0901150 PDF

151

Towards a Constraint-based Approach for Service Aggregation and Selection in Cloud E-Marketplaces

Author 1: Azubuike Ezenwoke Author 2: Olawande Daramola Author 3: Matthew Adigun

Service providers leverage cloud ecosystems and cloud e-marketplaces to increase the business value of their services to reach a wider range of service users. The operations of commercial e-marketplaces can be further enhanced by enabling service composition mechanisms that allow automatic aggregation of atomic services into composite offerings that meets… Read full abstract & cite →

cloud computing ecosystem e-marketplace feature model constraint programming

Abstract doi.org/10.14569/SpecialIssue.2018.0901151 PDF

152

Modeling the NLP Research Domain using Ontologies

Author 1: Randa Aljably Author 2: Auhood Abdullah Alfaries Author 3: Muna Saleh Al-Razgan

Natural language processing is an active research filed that will benefit greatly from a shared understanding of its concept terms. Modeling this research domain using an ontological semantic representation that defines and links its terms will definitely benefit the research community. This paper aims to present an ontology model for… Read full abstract & cite →

NLP ontologies style knowledge domain concepts

Abstract doi.org/10.14569/SpecialIssue.2018.0901152 PDF

153

Implementation of Distance Transformation in the Processing Language

Author 1: Sudhanshu K Semwal Author 2: Rama Prasad Reddy Peddireddy

In this paper, we describe three different approaches for determining or finding a distance map for a binary image. The algorithms that solve such problems are known as Distance Transforms. These algorithms that solve such problems are known as Distance Transformations. These algorithms operate on binary images but can be… Read full abstract & cite →

City-block Euclidian distance transformations image processing Processing language

Abstract doi.org/10.14569/SpecialIssue.2018.0901153 PDF

154

A Simulation Framework for Decentralized Formation Control of Non-Holonomic Differential Drive Robots

Author 1: Muhammad Bilal Kadri Author 2: Fahad Tanveer

Decentralized cooperative control schemes are a prime research focus due to their resemblance to biological systems and many advantages over centralized schemes. This paper presents a simulation framework for a decentralized cooperative control scheme for differential drive mobile robots, with focus on formation control and obstacle avoidance. The framework employs… Read full abstract & cite →

Decentralized control cooperative control formation control obstacle avoidance differential drive robots artificial potential field virtual structures behavioral structures non-holonomic sliding mode control

Abstract doi.org/10.14569/SpecialIssue.2018.0901154 PDF

155

RSI: A High-Efficient and Fault-Tolerant Interconnection for Resources-Pooling in Rack Scale

Author 1: Mingche Lai Author 2: Xiangxi Zou Author 3: Shi Xu Author 4: Jie Jian Author 5: Xingyun Qi Author 6: Jiaqing Xu

Data centers are originally composed of servers that deal with different services, and have been developed into rack-mounted computers and blade server systems. At the same time, the traffic between different servers is increasing, and the interconnection network performance between servers has significant influence on the overall performance of the… Read full abstract & cite →

Rack scale resource pooling interconnection adaptive routing fault-tolerant

Abstract doi.org/10.14569/SpecialIssue.2018.0901155 PDF

156

A Novel Use of the Qualtrics Offline App to Collect Comprehensive Student Performance Data for Candidate Assessment and Program Improvement

Author 1: Chris Boosalis Author 2: Oddmund R. Myhre

New credentialing standards that were issued by the California Commission on Teacher Credentialing require that program administrators maintain a great deal assessment data during field work to include supervision activities, hours, training, and teaching performance expectation evaluations. These data, particularly the evaluation elements, are to be used for candidate assessment… Read full abstract & cite →

Qualtrics Qualtrics App evaluation assessment program assessment

Abstract doi.org/10.14569/SpecialIssue.2018.0901156 PDF

157

Swarm AI to Detect Deceit in Facial Expressions

Author 1: Louis Rosenberg Author 2: Niccolo Pescetelli

In the natural world, many species amplify their intellectual abilities by working together in closed-loop systems. Known as Swarm Intelligence (SI), this process has been deeply studied in schools of fish, flocks of birds, and swarms of bees. The present research employs artificial swarming algorithms to create “human swarms” of… Read full abstract & cite →

Swarm intelligence artificial swarm intelligence collective intelligence human swarming artificial intelligence

Abstract doi.org/10.14569/SpecialIssue.2018.0901157 PDF

158

Amusing Tools for Teaching Lesser-Loved Languages

Author 1: Peter Juel Henrichsen

TALERUM is an interactive 2nd language learning environment, designed for use throughout the vast and sparsely populated West-Nordic area where Danish is taught as a foreign language (and for historical reasons, not always a popular one). In a town-like environment, the pupil moves between shops, schools, cafes and a home… Read full abstract & cite →

Computer assisted language learning (CALL) dialogue systems gaming

Abstract doi.org/10.14569/SpecialIssue.2018.0901158 PDF

159

Additive Manufacturing and Collaborative Learning for Pre-hospital Care Environment

Author 1: Cody Fell Author 2: Annette Sobel Author 3: Marc Ordonez

A new initiative at Texas Tech University uses hybrid education and collaborative learning modules to integrate new designs to solve real world medical challenge problems. Prehospital care encompasses everything from point of injury in the field to the receiving definitive care facility, and comprises 87% of combat fatalities. The environments… Read full abstract & cite →

Pre-hospital experiential additive manufacturing

Abstract doi.org/10.14569/SpecialIssue.2018.0901159 PDF

160

Bits and Bricks: Tangible Interactive Matrix for Real-time Computation and 3D Projection Mapping

Author 1: Ira Winder

The proliferation of projection mapping and computer vision techniques have made it possible to create a multiplicity of dynamic, illuminated environments that adapt to user intervention. This paper describes a unique system for an illuminated, machine-readable matrix of objects that performs real-time computation and dynamic projection-mapping. Illuminated, tangible-interactive matrices have… Read full abstract & cite →

Interactive displays tangible user interface projection mapping computer vision decision-support systems collaboration Lego

Abstract doi.org/10.14569/SpecialIssue.2018.0901160 PDF