IJACSA Vol. 10 Issue 12 (2019)

1

Local-Set Based-on Instance Selection Approach for Autonomous Object Modelling

Author 1: Joel Luis Carbonera Author 2: Joanna Isabelle Olszewska

With the increasing presence of robotic agents in our daily life, computationally efficient modelling of real-world objects by autonomous systems is of prime importance for enabling these artificial agents to automatically and effectively perform tasks such as visual object recognition. For this purpose, we introduce a novel, machine-learning approach for… Read full abstract & cite →

Machine learning instance selection autonomous systems object modelling visual object recognition computer vision machine vision

Abstract doi.org/10.14569/IJACSA.2019.0101201 PDF

2

Activation and Spreading Sequence for Spreading Activation Policy Selection Method in Transfer Reinforcement Learning

Author 1: Hitoshi Kono Author 2: Ren Katayama Author 3: Yusaku Takakuwa Author 4: Wen Wen Author 5: Tsuyoshi Suzuki

This paper proposes an automatic policy selection method using spreading activation theory based on psychological theory for transfer learning in reinforcement learning. Intel-ligent robot systems have recently been studied for practical applications such as home robot, communication robot, and warehouse robot. Learning algorithms are key to building useful robot systems… Read full abstract & cite →

Reinforcement learning transfer learning spread-ing activation theory policy selection

Abstract doi.org/10.14569/IJACSA.2019.0101202 PDF

3

Best-Choice Topology: An Optimized Array-based Maximum Finder

Author 1: Marina Prvan Author 2: Julije Ožegovic Author 3: Ivan Soco Author 4: Duje Coko

Extracting maximum from an unsorted set of binary elements is important in many signal processing applications. Since quite few maximum-finder implementations are found in the recent literature, in this paper we provide an update on the current topic. Generally, maximum-finders are considered array-based, with parallel bit-by-bit comparison of the elements… Read full abstract & cite →

Array topology best-choice topology maximum finder maximum magnitude generator

Abstract doi.org/10.14569/IJACSA.2019.0101203 PDF

4

Words Segmentation-based Scheme for Implicit Aspect Identification for Sentiments Analysis in English Text

Author 1: Dhani Bux Talpur Author 2: Guimin Huang

Implicit and Explicit aspects extraction is the amassed research area of natural language processing (NLP) and opinion mining. This method has become the essential part of a large collection of applications which includes e-commerce, social media, and marketing. These application aid customers to buy online products and collect feedbacks based… Read full abstract & cite →

Implicit aspect explicit aspects polarity sentiments analysis

Abstract doi.org/10.14569/IJACSA.2019.0101204 PDF

5

Energy Balanced Two-level Clustering for Large-scale Wireless Sensor Networks based on the Gravitational Search Algorithm

Author 1: Basilis Mamalis Author 2: Marios Perlitis

Organizing sensor nodes in clusters is an effective method for energy preservation in a Wireless Sensor Network (WSN). Throughout this research work we present a novel hybrid clustering scheme that combines a typical gradient clustering protocol with an evolutionary optimization method that is mainly based on the Gravitational Search Algorithm… Read full abstract & cite →

Gravitational search algorithm wireless sensors network lifetime nodes clustering data collection

Abstract doi.org/10.14569/IJACSA.2019.0101205 PDF

6

Application of Computer-Aided to Improve Industrial Productivity in Cement Factories by using a Novel Design of Quantitative Conveyor

Author 1: Anh Son Tran Author 2: Ha Quang Thinh Ngo

To deal with the industrial evolution 4.0, many cement enterprises must be enhanced the productive ability. In this paper, the novel design of quantitative conveyor is introduced to improve the industrial productivity. Firstly, the test hardware platform is set-up based on customer’s requirement. Then, the analysis and control of mechanical… Read full abstract & cite →

Motion control cement industry conveyor automation robotics system

Abstract doi.org/10.14569/IJACSA.2019.0101206 PDF

7

Software Design using Genetic Quality Components Search

Author 1: Evgeny Nikulchev Author 2: Dmitry Ilin Author 3: Aleksander Gusev

The paper presents a software design methodology based on computational experiments for effective selection of software component set. The selection of components is performed with respect to the numerical quality criteria evaluated in the reproducible experiments with various sets of components in the virtual infrastructure simulating the operating conditions of… Read full abstract & cite →

Software design selection of software components set numerical quality criteria evaluated genetic algorithm

Abstract doi.org/10.14569/IJACSA.2019.0101207 PDF

8

Resonance Mitigation and Performance Improvement in Distributed Generation based LCL Filtered Grid Connected Inverters

Author 1: Danish Khan Author 2: Muhammad Mansoor Khan Author 3: Yaqoob Ali Author 4: Abdar Ali Author 5: Imad Hussain

Resonance turns into a growing issue of paramount importance for stable operation of LCL filtered grid-connected inverters. Active damping algorithms are widely adopted to restrain the resonance peak associated with LCL filters. The focus of this paper is to develop an improved active damping solution based on filter capacitor current… Read full abstract & cite →

LCL filter high pass filter grid connected inverters (GCI) stability analysis robustness SPWM technique D-space

Abstract doi.org/10.14569/IJACSA.2019.0101208 PDF

9

Automatically Extract Vertebra and Compute the Cobb Angle based on Spine’s Features and Adaptive ASMs in Posteroanterior Radiographs

Author 1: Pham The Bao

Nowadays, clinical diagnoses are more and more supported by medical equipment, but doctors still need a lot of time and effort to diagnosis. The construction of a system that can diagnose automatically will help doctors a lot when the doctor must handle many medical records. Many diseases need to be… Read full abstract & cite →

Spine detection spine extraction vertebrae detection cobb angle adaptive active shape model

Abstract doi.org/10.14569/IJACSA.2019.0101209 PDF

10

System for Monitoring People with Disabilities in the Event of an Accident using Mobile Terminals

Author 1: Alexandra Fanca Author 2: Monica Cujerean Author 3: Adela Puscasiu Author 4: Dan-Ioan Gota Author 5: Honoriu Valean

Being in the speed century, people around the world are busy scheduling every day and therefore, it is impossible to spend enough time with the elderly and people with disabilities or people who have a chronic illness. These persons need a lot more attention and care because they cannot cope… Read full abstract & cite →

Smartphones built-in smartphone sensors monitoring people android applications accident detecting system

Abstract doi.org/10.14569/IJACSA.2019.0101210 PDF

11

Embedding Adaptation Levels within Intelligent Tutoring Systems for Developing Programming Skills and Improving Learning Efficiency

Author 1: Mohamed A Elkot

Intelligent Tutoring Systems (ITSs) represent the virtual learning environment that provides learning needs, adapts to the characteristics of learners according to their cognitive and behavioral aspects, to reach desired learning outcomes. The purpose of this study is to investigate the impact of embedding some adaptation levels within intelligent tutoring systems… Read full abstract & cite →

Intelligent Tutoring Systems (ITS) programming skills adaptive e-learning learning style learning efficiency

Abstract doi.org/10.14569/IJACSA.2019.0101211 PDF

12

Neural Network-based Diabetic Type II High-Risk Prediction using Photoplethysmogram Waveform Analysis

Author 1: Yousef K Qawqzeh

This work aims to predict and classify patients into diabetic and nondiabetic subjects based on age and four independent variables extracted from the analysis of photoplethysmogram (PPG) morphology in time domain. The study has two main stages, the first one was the analysis of PPG waveform to extract b/a, RI… Read full abstract & cite →

Diabetes prediction classification photoplethysmogram neural networks diagnosis

Abstract doi.org/10.14569/IJACSA.2019.0101212 PDF

13

Clustering Analysis for Malware Behavior Detection using Registry Data

Author 1: Nur Adibah Rosli Author 2: Warusia Yassin Author 3: Faizal M.A Author 4: Siti Rahayu Selamat

The increase of malware attacks may increase risk in information technology industry such as Industrial Revolution 4.0 that consists of multiple sectors especially in cyber security. Because of that malware detection technique plays vital role in detecting malware attack that can give high impact towards the cyber world. In accordance… Read full abstract & cite →

Malware malware detection behavior analysis k-means clustering data registry

Abstract doi.org/10.14569/IJACSA.2019.0101213 PDF

14

Convolutional Neural Network Considering Physical Processes and its Application to Diatom Detection

Author 1: Kohei Arai

Convolutional Neural Network (CNN) considering physical processes with time series of stages for diatom detection with remote sensing satellite derived physical data (Chlorophyll-a, Photosynthesis Available Radiance (PAR), Turbidity, Sea Surface Temperature (SST)) and meteorological data is proposed. Diatom is bloomed under the condition of suitable sea water temperature, nutrition rich… Read full abstract & cite →

Chlorophyl-a concentration red tide diatom MODIS satellite remote sensing neural network meteorological data

Abstract doi.org/10.14569/IJACSA.2019.0101214 PDF

15

Designing an Automated Intelligent e-Learning System to Enhance the Knowledge using Machine Learning Techniques

Author 1: G Deena Author 2: K. Raja

The modern digital world requires its users to learn continuously in order to enhance their knowledge in the working environment and the academic sector. This kind of learning is significantly facilitated by the E-Learning platform, which is better than the traditional methods. As E-Learning offers benefits like time and space… Read full abstract & cite →

e-Learning teaching learning process pre-assessment and post- assessment blooms taxonomy machine learning

Abstract doi.org/10.14569/IJACSA.2019.0101215 PDF

16

A Comparative Study of Supervised Machine Learning Techniques for Diagnosing Mode of Delivery in Medical Sciences

Author 1: Syeda Sajida Hussain Author 2: Tooba Fatima Author 3: Rabia Riaz Author 4: Sanam Shahla Rizvi Author 5: Farina Riaz Author 6: Se Jin Kwon

The uses of machine learning techniques in medical diagnosis are very helpful tools now-a-days. By using machine learning algorithms and techniques, many complex medical problems can be solved easily and quickly. Without these techniques, it was a difficult task to find the causes of a problem or to suggest most… Read full abstract & cite →

Machine learning supervised learning bioinformatics medical sciences

Abstract doi.org/10.14569/IJACSA.2019.0101216 PDF

17

Affective Educational Application of Fish Tank Hydroponics System

Author 1: Rodolfo Romero Herrera Author 2: Francisco Gallegos Funes

This project develops algorithms for the design and implementation of an embedded system in hydroponic gardens for homes located on roofs, terraces, and even in kitchens in the house; since a fishbowl is used. Vegetables, flowers, etc. are contemplated. One plant was obtained per seed. The development and care of… Read full abstract & cite →

Hydroponics affective interface embedded system gardens educational software

Abstract doi.org/10.14569/IJACSA.2019.0101217 PDF

18

Memory-based Collaborative Filtering: Impacting of Common Items on the Quality of Recommendation

Author 1: Hael Al-bashiri Author 2: Hasan Kahtan Author 3: Mansoor Abdullateef Abdulgabber Author 4: Awanis Romli Author 5: Mohammad Adam Ibrahim Fakhreldin

In this study, the impact of the common items between a pair of users on the accuracy of memory-based collaborative filtering (CF) is investigated. Although CF systems are a widely used recommender system, data sparsity remains an issue. As a result, the similarity weight between a pair of users with… Read full abstract & cite →

Collaborative filtering memory-based similarity method data sparsity

Abstract doi.org/10.14569/IJACSA.2019.0101218 PDF

19

Winning the Polio War in Pakistan

Author 1: Toorab Khan Author 2: Waheed Noor Author 3: Junaid Babar Author 4: Maheen Bakhtyar

Polio is one of the most important issues which have caught the global attention. It has been eradicated globally except Pakistan and Afghanistan. Its quiet alarming, where whole world is polio free, still polio cases are emerging from Pakistan. The major motivation behind this research is to study and analyze… Read full abstract & cite →

Prediction visualization regression clustering

Abstract doi.org/10.14569/IJACSA.2019.0101219 PDF

20

Investigation of Different Modulation Formats for Extended Reach NG-PON2 using RSOA

Author 1: S Rajalakshmi Author 2: T. Shankar

Global market forecasts predicted that by 2020, more than 26 billion internet devices and connections universally interconnected will require nearly 3 times the data traffic generated when compared to the year 2015. The increase in data traffic, demands for enormous bandwidth capacity. The potential to deliver 10 Gbps of huge… Read full abstract & cite →

Fiber To The Home (FTTH) Passive Optical Network (PON) Next Generation-Passive Optical Networks Stage 2 (NG-PON2) Quality of Service (QoS) Reflective Semiconductor Optical Amplifier (RSOA) Time and Wavelength Division Multiplexing (TWDM)

Abstract doi.org/10.14569/IJACSA.2019.0101220 PDF

21

Distributed Shadow Controllers based Moving Target Defense Framework for Control Plane Security

Author 1: Muhammad Faraz Hyder Author 2: Muhammad Ali Ismail

Moving Target Defense (MTD) has drawn substantial attention of research community in recent past for designing secure networks. MTD significantly reduced the asymmetric advantage of attackers by constantly changing the attack surface. In this paper Software Defined Networking (SDN) based MTD framework SMTSC (SDN based MTD framework using Shadow Controllers)… Read full abstract & cite →

Control plane security moving target defense shadow controllers software defined networks

Abstract doi.org/10.14569/IJACSA.2019.0101221 PDF

22

Scientific Text Sentiment Analysis using Machine Learning Techniques

Author 1: Hassan Raza Author 2: M. Faizan Author 3: Ahsan Hamza Author 4: Ahmed Mushtaq Author 5: Naeem Akhtar

Over time, textual information on the World Wide Web (WWW) has increased exponentially, leading to potential research in the field of machine learning (ML) and natural language processing (NLP). Sentiment analysis of scientific domain articles is a very trendy and interesting topic nowadays. The main purpose of this research is… Read full abstract & cite →

Sentimental analysis scientific citations machine learning scientific literature classification

Abstract doi.org/10.14569/IJACSA.2019.0101222 PDF

23

Enrichment Ontology with Updated user Data for Accurate Semantic Annotation

Author 1: Haytham Al-Feel Author 2: Hanaa Ghareib Hendi Author 3: Heba Elbeh

Annotation is considered one of the main applications that semantic web applies. The idea beyond annotation focused on adding metadata to existing information which facilitates machines dealing with data that have meanings and can be readable. Semantic annotation is one of the techniques used for the enrichment of web content… Read full abstract & cite →

Ontology Semantic Web Semantic Annotation RSS News

Abstract doi.org/10.14569/IJACSA.2019.0101223 PDF

24

Detecting Fake Images on Social Media using Machine Learning

Author 1: Njood Mohammed AlShariah Author 2: Abdul Khader Jilani Saudagar

In this technological era, social media has a major role in people’s daily life. Most people share text, images, and videos on social media frequently (e.g. Twitter, Snapchat, Facebook, and Instagram). Images are one of the most common types of media share among users on social media. So, there is… Read full abstract & cite →

Convolution Neural Network (CNN) Image forgery Classification Alexnet Rectified Linear Unit (ReLU) SoftMax function Features extraction

Abstract doi.org/10.14569/IJACSA.2019.0101224 PDF

25

Optimal Global Threshold based on Two Dimension Otsu for Block Size Decision in Intra Prediction of H.264/AVC Coding

Author 1: Sawsan Morkos Gharghory

The Advanced Video Coding (H.264/AVC) has proved its ability in finding the tradeoff between the compressed bit rate value and the visual quality of video comparing to the others of traditional coding. One of the most encoder stages consuming time is the intra prediction in which different sizes of a… Read full abstract & cite →

H.264/AVC coding intra prediction block size decision Otsu two dimensions method

Abstract doi.org/10.14569/IJACSA.2019.0101225 PDF

26

A Framework for Cloud Security Risk Management based on the Business Objectives of Organizations

Author 1: Ahmed E Youssef

Security is considered one of the top ranked risks of Cloud Computing (CC) due to the outsourcing of sensitive data onto a third party. In addition, the complexity of the cloud model results in a large number of heterogeneous security controls that must be consistently managed. Hence, no matter how… Read full abstract & cite →

Information security data privacy cloud security risks risk management business objectives cloud computing

Abstract doi.org/10.14569/IJACSA.2019.0101226 PDF

27

Handwritten Arabic Text Recognition using Principal Component Analysis and Support Vector Machines

Author 1: Faisal Al-Saqqar Author 2: Atallah. M AL-Shatnawi Author 3: Mofleh Al-Diabat Author 4: Mesbah Aloun

In this paper, an offline holistic handwritten Arabic text recognition system based on Principal Component Analysis (PCA) and Support Vector Machine (SVM) classifiers is proposed. The proposed system consists of three primary stages: preliminary processing, feature extraction using PCA, and classification using the polynomial, linear, and Gaussian SVM classifiers. In… Read full abstract & cite →

Handwritten Arabic text holistic recognition principal component analysis support vector machines

Abstract doi.org/10.14569/IJACSA.2019.0101227 PDF

28

5G Enabled Technologies for Smart Education

Author 1: Delali Kwasi Dake Author 2: Ben Adjei Ofosu

5G technology use cases depicts the prospects of 5G network model to revolutionize Industry and Education is not an exception. The 5G model in general is made up of three main blocks: Enhanced Mobile Broadband, Massive Machine Type Communication and Ultra Reliable and Low Latency Communication. Within these blocks are… Read full abstract & cite →

5G Networks smart education smart campus machine learning artificial intelligence big data internet of things

Abstract doi.org/10.14569/IJACSA.2019.0101228 PDF

29

A Multi-Layered Security Model for Learning Management System

Author 1: Momeen Khan Author 2: Tallat Naz Author 3: Mohammad Awad Hamad Medani

A learning management system is a web-based software application that is used for the documentation, administration, tracking, reporting and delivery of training programs and educational courses. It is an efficient and effective way to give valuable information to the students in a short time. With the evolution of e-learning, the… Read full abstract & cite →

Multi-layered security model designing a security model for learning management system learning management system

Abstract doi.org/10.14569/IJACSA.2019.0101229 PDF

30

Comparative Study between Lean Six Sigma and Lean-Agile for Quality Software Requirement

Author 1: Narishah Mohamed Salleh Author 2: Puteri NE Nohuddin

Requirement Elicitation is one of the challenging phases in the entire software development life cycle. It is the process of extracting and analyzing the requirements from customers to understand thoroughly of what system needs to be built. Despite all the advances in methodologies and practice approaches, extracting and establishing the… Read full abstract & cite →

Lean Six Sigma Lean Agile DMAIC SCRUM Requirement Elicitation

Abstract doi.org/10.14569/IJACSA.2019.0101230 PDF

31

Indonesian Words Error Detection System using Nazief Adriani Stemmer Algorithm

Author 1: Anton Yudhana Author 2: Abdul Fadlil Author 3: Muhamad Rosidin

Stemming in each language has a different process and is determined according to the structure of the language. Stemming is mostly used as a complete step in the processing of words and phrases. There are many stemming algorithms available, and some used as a process for word processing. One function… Read full abstract & cite →

Indonesian word error stemming Nazief and Adriani stemmer algorithm detection system

Abstract doi.org/10.14569/IJACSA.2019.0101231 PDF

32

Problems Solving of Cell Subscribers based on Expert Systems Neural Networks

Author 1: Ahmad AbdulQadir AlRababah

With the growing demand for telecommunications services, the number of calls to telecommunications companies related to issues of using services, setting up and maintaining equipment, as well as resolving possible problems arising in the process of using services is also growing. From the point of view of system analysis, the… Read full abstract & cite →

Neural network expert system telecommunications companies system analysis cellular network structured tasks reliable information human capabilities telecommunications services

Abstract doi.org/10.14569/IJACSA.2019.0101232 PDF

33

Understanding Students’ Motivation and Learning Strategies to Redesign Massive Open Online Courses based on Persuasive System Development

Author 1: Mohamad Hidir Mhd Salim Author 2: Nazlena Mohamad Ali Author 3: Mohamad Taha Ijab

Electronic learning or E-learning is currently flourishing immensely in areas such as secondary and tertiary education, lifelong learning programs and adult education. Within recent years, massive open online courses (MOOCs) have received profound attention within the field of E-learning. Persuasive principles can be implemented to enhance the system design and… Read full abstract & cite →

Persuasive MOOCs motivation learning strategies

Abstract doi.org/10.14569/IJACSA.2019.0101233 PDF

34

Integrated Methodological Framework for Digital Transformation Strategy Building (IMFDS)

Author 1: Zineb Korachi Author 2: Bouchaib Bounabat

There is still a conflict among the definitions, frameworks, and formulation of the digital transformation strategy in the literature. Despite extensive research on Digital Transformation Strategies and Digital Transformation Assessment, there is not a clear and global meta-model describing the general concepts and guidelines of the digital transformation to frame… Read full abstract & cite →

Digital transformation strategy digital transformation assessment IT governance IT framework

Abstract doi.org/10.14569/IJACSA.2019.0101234 PDF

35

Real-Time Carpooling Application based on k-NN Algorithm: A Case Study in Hashemite University

Author 1: Subhieh El Salhi Author 2: Fairouz Farouq Author 3: Randa Obeidallah Author 4: Yousef Kilani Author 5: Esraa Al Shdaifat

The current revolution of mobile technology in different aspects of community directs the researchers and scientists to employ this technology to identify practical solutions for daily life problems using mobiles. One of the major challenges in our developing countries is the public transportation system. Public transportation system is an essential… Read full abstract & cite →

Mobile Application Carpooling Data mining Classification k-NN algorithms

Abstract doi.org/10.14569/IJACSA.2019.0101235 PDF

36

Cardiovascular Disease Diagnosis: A Machine Learning Interpretation Approach

Author 1: Hossam Meshref

Research on heart diseases has always been the center of attention of the world health organization. More than 17.9 million people died from it in 2016, which represent 31% of the overall deaths globally. Machine learning techniques have been used extensively in that area to assist physicians to develop a… Read full abstract & cite →

Heart diseases machine learning artificial neural networks support vector machines Naïve Bayes decision trees random forests model interpretation feature ranking cost index

Abstract doi.org/10.14569/IJACSA.2019.0101236 PDF

37

Towards the Development of Collaborative Learning in Virtual Environments

Author 1: Benjamin Maraza-Quispe Author 2: Nicolás Caytuiro-Silva Author 3: Eveling Castro-Gutierrez Author 4: Melina Alejandro-Oviedo Author 5: Walter Choquehuanca-Quispe Author 6: Walter Fernandez-Gambarini Author 7: Luis Cuadros-Paz Author 8: Betsy Cisneros-Chavez

The objective of the research is to evaluate strategies such as Wikis, Forums and Chat in the development of collaborative learning in higher education students. A collaborative experience was developed with 25 students in an asynchronous e-learning environment. The activities consisted of forum discussions, chat and project development in a… Read full abstract & cite →

Wikis forums chat learning collaborative

Abstract doi.org/10.14569/IJACSA.2019.0101237 PDF

38

Modification of Manual Raindrops Type Observatory Ombrometer with Ultrasonic Sensor HC-SR04

Author 1: Anton Yudhana Author 2: Jessy Rahmayanti Author 3: Son Ali Akbar Author 4: Subhas Mukhopadhyay Author 5: Ismail Rakip Karas

Water, in any way it comes, is important for the life of all living things. Indonesia is an area of tropical equatorial with a variation of rain, which is quite high. The regularity of the distribution of rainfall is one of the aspects most important to the activity of the… Read full abstract & cite →

Observatory Ombrometer rainfall database ultrasonic sensor IoT rain gauge

Abstract doi.org/10.14569/IJACSA.2019.0101238 PDF

39

Clustering based Privacy Preserving of Big Data using Fuzzification and Anonymization Operation

Author 1: Saira Khan Author 2: Khalid Iqbal Author 3: Safi Faizullah Author 4: Muhammad Fahad Author 5: Jawad Ali Author 6: Waqas Ahmed

Big Data is used by data miner for analysis purpose which may contain sensitive information. During the procedures it raises certain privacy challenges for researchers. The existing privacy preserving methods use different algorithms that results into limitation of data reconstruction while securing the sensitive data. This paper presents a clustering… Read full abstract & cite →

Big data clustering privacy preservation reconstruction perturbation

Abstract doi.org/10.14569/IJACSA.2019.0101239 PDF

40

Flooding and Oil Spill Disaster Relief using Sentinel of Remote Sensing Satellite Data

Author 1: Kohei Arai

Flooding and oil spill disaster relief using Sentinel of remote sensing satellite data is conducted. Kyushu, Japan had severe heavy rain from 26 August to 30 August 2019. Optical sensor and Synthetic Aperture Radar: SAR onboard remote sensing satellite is used for disaster relief. NDVI and SWIR data derived from… Read full abstract & cite →

Sentinel disaster relief satellite remote sensing flooding oil spill synthetic aperture radar optical sensor vegetation index

Abstract doi.org/10.14569/IJACSA.2019.0101240 PDF

41

Analysis of Multi-hop Wireless Sensor Networks using Probability Propagation Models

Author 1: Komgrit Jaksukam Author 2: Teerawat Tongloy Author 3: Santad Chuwongin Author 4: Siridech Boonsang

This paper presents a formula for estimating the probability of collecting a given amount of data from a propagation model and multi-hop wireless sensor networks (WSNs) based on Monte Carlo simulation with cluster-tree topology. The probabilistic model is based on an analytical model of the IEEE 802.15.4 MAC protocol. The… Read full abstract & cite →

Probabilistic modelling wireless sensor network multi-hop networks data collection scheme Monte Carlo simulation probability propagation models probabilistic analysis

Abstract doi.org/10.14569/IJACSA.2019.0101241 PDF

42

Cloud-Edge Network Data Processing based on User Requirements using Modify MapReduce Algorithm and Machine Learning Techniques

Author 1: Methaq Kadhum Author 2: Saher Manaseer Author 3: Abdel Latif Abu Dalhoum

Edge computing extends cloud computing to enhancing network performance in terms of latency and network traffic of many applications such as: The Internet of Things (IoT), Cyber-Physical Systems (CPS), Machine to Machine (M2M) technologies, Industrial Internet, and Smart Cities. This extension aims at reducing data communication and transmission through the… Read full abstract & cite →

Edge computing cloud computing data processing data partitioning MapReduce machine learning feature selection user requirement

Abstract doi.org/10.14569/IJACSA.2019.0101242 PDF

43

Proof of Credibility: A Blockchain Approach for Detecting and Blocking Fake News in Social Networks

Author 1: Mohamed Torky Author 2: Emad Nabil Author 3: Wael Said

Rumors and misleading information detection and prevention still represent a big challenge against social network developers and researchers. Since newsworthy information propagation is a traditional behavior of most of the users in social media, then verifying information credibility and reliability is indeed a vital security requirement for social network platforms… Read full abstract & cite →

Blockchain technology social networks fake news detection

Abstract doi.org/10.14569/IJACSA.2019.0101243 PDF

44

Predictive Control for Distributed Smart Street Light Network

Author 1: Pei Zhen Lee Author 2: Sei Ping Lau Author 3: Chong Eng Tan

With the advent of smart city that embedded with smart technology, namely, smart streetlight, in urban development, the quality of living for citizens has been vastly improved. TALiSMaN is one of the promising smart streetlight schemes to date, however, it possesses certain limitation that led to network congestion and packet… Read full abstract & cite →

Traffic prediction adaptive street lighting smart cities energy efficient network congestion

Abstract doi.org/10.14569/IJACSA.2019.0101244 PDF

45

Developing a Framework for Potential Candidate Selection

Author 1: Farzana Yasmin Author 2: Mohammad Imtiaz Nur Author 3: Mohammad Shamsul Arefin

Recruitment is the process of hiring the right person for the right job. In the current competitive world, recruiting the right person from thousands of applicants is a tedious work. In addition, analyzing these huge numbers of applications manually might result into biased and erroneous output which may eventually cause… Read full abstract & cite →

Information extraction named entity recognition machine learning skyline queries

Abstract doi.org/10.14569/IJACSA.2019.0101245 PDF

46

Identification of People with Parkinson's Suspicions through Voice Signal Processing

Author 1: Brian Meneses-Claudio Author 2: Witman Alvarado-Diaz Author 3: Avid Roman-Gonzalez

Parkinson is considered a disease with a very random prognosis, in addition to its origin due to a multisystemic neurodegenerative process that affects the central nervous system, which is responsible for motor control of the body and also produces chronic joint pain if the patient is not treated also suffers… Read full abstract & cite →

Voice signal processing Parkinson Disease (PD) Fast Fourier Transform speech signal segmentation audio treatment

Abstract doi.org/10.14569/IJACSA.2019.0101246 PDF

47

Towards the Identification of Student Learning Communities using Centrality

Author 1: Intissar Salhi Author 2: Hanaa El Fazazi Author 3: Mohammed Qbadou Author 4: Khalifa Mansouri

Emergence of universities towards “digital university” has already been present for some years. The use of digital is largely developed to ensure a good quality of education. Universities therefore use large-scale learning management systems to manage the interaction between learners and teachers. Teachers can provide online training and educational materials… Read full abstract & cite →

Student’s learning communities complex network learner activity community detection

Abstract doi.org/10.14569/IJACSA.2019.0101247 PDF

48

Visualising Image Data through Image Retrieval Concept using a Hybrid Technique: Songket Motif’s

Author 1: Nadiah Yusof Author 2: Amirah Ismail Author 3: Nazatul Aini Abd Majid

It has been proven that the massive dataset is strictly complex in Content Based image Retrieval (CBIR) because the present strategies in CBIR might have faced difficulties in feature extraction of the images. Moreover, technological constraints encountered in the analysis and extraction of the image arrays are how the system… Read full abstract & cite →

Multimedia image content-based image retrieval (CBIR) image retrieval near-duplicate principal component analysis (PCA) geometric

Abstract doi.org/10.14569/IJACSA.2019.0101248 PDF

49

Accurate Speech Emotion Recognition by using Brain-Inspired Decision-Making Spiking Neural Network

Author 1: Madhu Jain Author 2: Ms. Shilpi Shukla

A portion of speech recognition is taken away by emotion recognition which is a smart update and it is necessary for its gain massively. Feature selection is an indispensable stage among the furtherance of various schemes in order to implement the classification of sentiments in speaking. The communication among features… Read full abstract & cite →

Brain-inspired decision-making spiking neural network (BDM-SNN) deep belief network social ski-driver (SSD) optimization emotion recognition

Abstract doi.org/10.14569/IJACSA.2019.0101249 PDF

50

Power Quality Evaluation for Electrical Installation of Hospital Building

Author 1: Agus Jamal Author 2: Sekarlita Gusfat Putri Author 3: Anna Nur Nazilah Chamim Author 4: Ramadoni Syahputra

This paper presents improvements to the quality of power in hospital building installations using power capacitors. Power quality in the distribution network is an important issue that must be considered in the electric power system. One important variable that must be found in the quality of the power distribution system… Read full abstract & cite →

Power quality power capacitor hospital building electrical installation

Abstract doi.org/10.14569/IJACSA.2019.0101250 PDF

51

Dynamic Performance of Synchronous Generator in Steam Power Plant

Author 1: Ramadoni Syahputra Author 2: Andi Wahyu Nugroho Author 3: Kunnu Purwanto Author 4: Faaris Mujaahid

This paper presents dynamic performance of synchronous generator in steam power plant. Steam power plants are the most popular power plants to date. Until the end of 2018, 48.43% of the total installed capacity of power plants in Indonesia is this type of power plant. The largest steam power plant… Read full abstract & cite →

Synchronous generator steam power plant dynamic performance efficiency

Abstract doi.org/10.14569/IJACSA.2019.0101251 PDF

52

The Impact of using Social Network on Academic Performance by using Contextual and Localized Data Analysis of Facebook Groups

Author 1: Muhammad Aqeel Author 2: Mukarram Pasha Author 3: Muhammad Saeed Author 4: Muhammad Kamran Nishat Author 5: Maryam Feroz Author 6: Farhan Ahmed Siddiqui Author 7: Nasir Touheed

Social Networks due to their intrinsic nature of being addictive have become an integral part of our civilization and plays an important role in our daily interactions. Facebook being the largest global online network, is used as a primary platform for carrying out our study and hypothesis testing. We built… Read full abstract & cite →

Social networks data analysis data mining NLP sentiment analysis

Abstract doi.org/10.14569/IJACSA.2019.0101252 PDF

53

GPLDA: A Generalized Poisson Latent Dirichlet Topic Model

Author 1: Ibrahim Bakari Bala Author 2: Mohd Zainuri Saringat

The earliest modification of Latent Dirichlet Allocation (LDA) in terms of words or document attributes is by relaxing its exchangeability assumption via the Bag-of-word (BoW) matrix. Several authors have proposed many modifications of the original LDA by focusing on model that assumes the current topic depends on the words from… Read full abstract & cite →

Bag-of-word generalized Poisson distribution topic model latent Dirichlet allocation

Abstract doi.org/10.14569/IJACSA.2019.0101253 PDF

54

A Mobile Agent Team Works based on Load-Balancing Middleware for Distributed Computing Systems

Author 1: Fatéma Zahra Benchara Author 2: Mohamed Youssfi

The aim of this paper is to present a load balancing middleware for parallel and distributed systems. The great challenge is to balance the tasks between heterogeneous distributed nodes for parallel and distributed computing models based distributed systems, by the way to ensure HPC (High performance computing) of these models… Read full abstract & cite →

Load balancing middleware parallel and distributed systems parallel and distributed computing models high performance computing mobile agents distributed computing

Abstract doi.org/10.14569/IJACSA.2019.0101254 PDF

55

An Efficient Method for Speeding up Large-Scale Data Transfer Process to Database: A Case Study

Author 1: Ginanjar Wiro Sasmito Author 2: M. Nishom

Among the of characteristics of Large Data complexity comprising of volume, velocity, variety, and veracity (4Vs), this paper focuses on the volume to ensure a better performance of data extract, transform, and load processes in the context of data migration from one server to the other due to the necessity… Read full abstract & cite →

Big data speeds up data processing data transfer

Abstract doi.org/10.14569/IJACSA.2019.0101255 PDF

56

A Systematic TRMA Protocol for Yielding Secure Environment for Authentication and Privacy Aspects

Author 1: Anusha R Author 2: Veena Devi Shastrimath V

RFID is a system that uses the radio waves to scrutinize and capture data pertained to a tag for an object attached to it. In spite of RFID's wide application in industries, it poses a severe security issue. There is high susceptibility that RFID might be attacked with future attacks… Read full abstract & cite →

Mutual Authentication Modified Pad-Gen Radiofrequency Identification (RFID) Privacy Security Tag-Reader Mutual Authentication (TRMA)

Abstract doi.org/10.14569/IJACSA.2019.0101256 PDF

57

Face Recognition on Low-Resolution Image using Multi Resolution Convolution Neural Network and Antialiasing Method

Author 1: Mario Imandito Author 2: Suharjito

Video surveillance applications usually take pictures of faces that have a low resolution (12x12) due to distance, lighting and shooting angles Most of face recognition algorithm have the poor performance accuracy and poor identify face on low resolution. Based on the problem, identifying the face of the query in low… Read full abstract & cite →

Face recognition low resolution convolutional neural network antialiasing

Abstract doi.org/10.14569/IJACSA.2019.0101257 PDF

58

Research Trends in Surveillance through Sousveillance

Author 1: Siraj Munir Author 2: Syed Imran Jami

Collective Intelligence is an immense research area that has wide application to cross-disciplines, like social, legal, and computation. Research trends in Surveillance find its place in the work of this area generating curated data set helpful in answering complex queries. Sousveillance is a recent term coined by researchers and had… Read full abstract & cite →

Semantics querying profiling IoT surveillance sousveillance

Abstract doi.org/10.14569/IJACSA.2019.0101258 PDF

59

Outlier Detection using Graphical and Nongraphical Functional Methods in Hydrology

Author 1: Insia Hussain

Graphical methods are intended to be introduced in hydrology for visualizing functional data and detecting outliers as smooth curves. These proposed methods comprise of a rainbow plot for visualization of data in large amount and bivariate and functional bagplot and boxplot for detection of outliers graphically. The bagplot and boxplot… Read full abstract & cite →

Rainbow plot bivariate bagplot functional bagplot bivariate boxplot functional boxplot

Abstract doi.org/10.14569/IJACSA.2019.0101259 PDF

60

Heart Disease Prediction based on External Factors: A Machine Learning Approach

Author 1: Maruf Ahmed Tamal Author 2: Md Saiful Islam Author 3: Md Jisan Ahmmed Author 4: Md. Abdul Aziz Author 5: Pabel Miah Author 6: Karim Mohammed Rezaul

Technology has immensely changed the world over the last decade. As a consequence, the life of the people is undergoing multiple changes that directly have positive and negative effects on health. Less physical activity and a lot of virtual involvements are pushing people into various health-related issues and heart disease… Read full abstract & cite →

Heart disease Risk prediction Decision Tree (DT) Support Vector Machine (SVM) Naive Bayes (NB) Random Forest (RF) Logistic Regression (LR) Quadratic Discriminant Analysis (QDA) Machine learning

Abstract doi.org/10.14569/IJACSA.2019.0101260 PDF

61

Embracing Localization Inaccuracy with a Single Beacon

Author 1: Anisur Rahman Author 2: Vallipuram Muthukkumarasamy

This paper illustrates a new mechanism to determine the coordinates of the sensors using a beacon node and determines the definitive error associated with it. In UWSNs (underwater wireless sensor networks), actual and precise location of the deployed sensors which accumulate data is vital, because the accumulated data without the… Read full abstract & cite →

Underwater localization linearization mobile beacon Cayley-Menger determinant bearing underwater wireless sensor network

Abstract doi.org/10.14569/IJACSA.2019.0101261 PDF

62

Joint Demographic Features Extraction for Gender, Age and Race Classification based on CNN

Author 1: Zaheer Abbas Author 2: Sajid Ali Author 3: Muhammad Ashad Baloch Author 4: Hamida Ilyas Author 5: Moneeb Ahmad Author 6: Mubasher H. Malik Author 7: Noreen Javaid Author 8: Tanvir Fatima Naik Bukht

Automatic verification and identification of face from facial image to obtain good accuracy with huge dataset of training and testing to using face attributes from images is still challengeable. Hence proposing efficient and accurate facial image identification and classification based of facial attributes is important task. The prediction from human… Read full abstract & cite →

Appearance features age gender wrinkle analysis face angle classification race LBP

Abstract doi.org/10.14569/IJACSA.2019.0101262 PDF

63

A Novel Method for Patients Identification in Emergency Cases using RFID based RADIO Technology

Author 1: Eman Galaleldin Ahmed Khalil Author 2: Asim Seedahmed Ali Osman

Medical records provide an important role in the process of providing health care in hospitals and in various types of medical institutions. Medical records play a vital role in maintaining the information of the entire patients which includes the basic information, medical information, history of operation and medication etc. These… Read full abstract & cite →

Medical records radio frequency identification magnetic card reader patient emergency electronic health record laboratory

Abstract doi.org/10.14569/IJACSA.2019.0101263 PDF

64

Multi-Label Classification using an Ontology

Author 1: Yaya TRAORE Author 2: Sadouanouan MALO Author 3: Didier BASSOLE Author 4: Abdoulaye SERE

During these last few years, the problem of multi-label classification (ML) has been studied in several domains, such as text categorization. Multi-label classification is a main challenging task because each instance can be assigned to multiple classes simultaneously. This paper studies the problem of Multi-label classification in the context of… Read full abstract & cite →

Multi-label classification (ML) Binary Relevance (BR) ontology categorization prediction

Abstract doi.org/10.14569/IJACSA.2019.0101264 PDF

65

Energy Efficient Cluster Head Selection using Hybrid Squirrel Harmony Search Algorithm in WSN

Author 1: N Lavanya Author 2: T. Shankar

The Wireless Sensor Network (WSN) has found an extensive variety of applications, which include battlefield surveillance, monitoring of environment and traffic, modern agriculture due to their effectiveness in communication. Clustering is one of the significant mechanisms for enhancing the lifespan of the network in WSN. This clustering scheme is exploited… Read full abstract & cite →

Cluster head selection clustering harmony search algorithm squirrel search algorithm wireless sensor network

Abstract doi.org/10.14569/IJACSA.2019.0101265 PDF

66

Knowledge based Soil Classification Towards Relevant Crop Production

Author 1: Waleej Haider Author 2: M. Nouman Durrani Author 3: Aqeel ur Rehman Author 4: Sadiq ur Rehman

Pakistan’s economy is strongly associated with agriculture sector. For a country having 25 % of GDP contributed through agriculture, there is a need to modernize the agriculture by acclimatizing contemporary approaches. Unfortunately, it has become a common trend among farmers to cultivate crops, being used in food items or which… Read full abstract & cite →

Knowledge creation agriculture soil classification random forest knowledge distribution crop relevancy

Abstract doi.org/10.14569/IJACSA.2019.0101266 PDF

67

HCAHF: A New Family of CA-based Hash Functions

Author 1: Anas Sadak Author 2: Fatima Ezzahra Ziani Author 3: Bouchra Echandouri Author 4: Charifa Hanin Author 5: Fouzia Omary

Cryptographic hash functions (CHF) represent a core cryptographic primitive. They have application in digital signature and message authentication protocols. Their main building block are Boolean functions. Those functions provide pseudo-randomness and sensitivity to the input. They also help prevent and lower the risk of attacks targeted at CHF. Cellular automata… Read full abstract & cite →

Hash function boolean function cellular automata cryptography information security avalanche nist statistical suite DIEHARDER battery of tests generic attacks dedicated attacks

Abstract doi.org/10.14569/IJACSA.2019.0101267 PDF

68

Classification Performance of Violence Content by Deep Neural Network with Monarch Butterfly Optimization

Author 1: Ashikin Ali Author 2: Norhalina Senan Author 3: Iwan Tri Riyadi Yanto Author 4: Saima Anwar Lashari

Violence is self-sufficient, it is perplexing due to visibility of content dissimilarities among the positive instances that been displayed on media. Besides, the ever-increasing demand on internet, with various types of videos and genres, causes difficulty for a proper search of these videos to ensure the contents is humongous. It… Read full abstract & cite →

Deep learning monarch butterfly violence video classification

Abstract doi.org/10.14569/IJACSA.2019.0101268 PDF

69

Object Detection and Tracking using Deep Learning and Artificial Intelligence for Video Surveillance Applications

Author 1: Mohana Author 2: HV Ravish Aradhya

Data is the new oil in current technological society. The impact of efficient data has changed benchmarks of performance in terms of speed and accuracy. The enhancement is visualizable because the processing of data is performed by two buzzwords in industry called Computer Vision (CV) and Artificial Intelligence (AI). Two… Read full abstract & cite →

Artificial Intelligence (AI) Computer Vision (CV) Convolution Neural Network (CNN) You Look Only Once (YOLOv3) Urban Vehicle Dataset Common objects in Context (COCO) Object detection object tracking

Abstract doi.org/10.14569/IJACSA.2019.0101269 PDF

70

KNN and SVM Classification for Chainsaw Sound Identification in the Forest Areas

Author 1: N’tcho Assoukpou Jean GNAMELE Author 2: Yelakan Berenger OUATTARA Author 3: Toka Arsene KOBEA Author 4: Geneviève BAUDOIN Author 5: Jean-Marc LAHEURTE

We present in this paper a comparative study of two classifiers, namely, SVM (support vector machine) and KNN (K-Nearest Neighbors), which we combine to MFCC (Mel-Frequency Cepstral Coefficients) in order to make possible the detection of chainsaw’s sounds in a forest environment. Optimization’s calculation of the relevant characteristics of the… Read full abstract & cite →

KNN Algorithm SVM Algorithm MFCC sound recognition forest monitoring machine learning

Abstract doi.org/10.14569/IJACSA.2019.0101270 PDF

71

An Efficient Algorithm to Find the Height of a Text Line and Overcome Overlapped and Broken Line Problem during Segmentation

Author 1: Sanjibani Sudha Pattanayak Author 2: Sateesh Kumar Pradhan Author 3: Ramesh Chandra Mallik

Line segmentation is a critical phase of the Optical Character Recognition (OCR) which separates the individual lines from the image documents. The accuracy rate of the OCR tool is directly proportional to the line segmentation accuracy followed by the word/character segmentation. In this context, an algorithm, named height_based_segmentation is proposed… Read full abstract & cite →

Document image analysis line segmentation word segmentation database creation printed Odia document

Abstract doi.org/10.14569/IJACSA.2019.0101271 PDF

72

Adverse Impacts of Social Networking Sites on Academic Result: Investigation, Cause Identification and Solution

Author 1: Maruf Ahmed Tamal Author 2: Maharunnasha Antora Author 3: Karim Mohammed Rezaul Author 4: Md. Abdul Aziz Author 5: Pabel Miah

Social networking sites (SNS) have become more prevalent over the previous decade. Interactive design and addictive characteristics have made SNS an almost indispensable part of life, particularly among university learners. Previous studies have shown that excessive use of SNS adversely affects learners' academic success as well as mental health. However… Read full abstract & cite →

Social networking sites SNS social media SM addiction mental health poor academic outcome sleep disorder social media tracker introduction

Abstract doi.org/10.14569/IJACSA.2019.0101272 PDF

73

A New Method to Find Image Recovery

Author 1: Nouf Saeed Alotaibi

Scattering media imagery is degraded during the physical process of image formation, which shifts contrast, color, and turns overall visibility white. With the computer vision system, sight can be amazingly restored. Although the medium transmission in distant artifacts is small, it is vulnerable to amplification of the noise. Here we… Read full abstract & cite →

Computer vision image enhancement digital image processing

Abstract doi.org/10.14569/IJACSA.2019.0101273 PDF

74

Distributed SDN Deployment in Backbone Networks for Low-Delay and High-Reliability Applications

Author 1: Mohammed J.F Alenazi

Internet applications, such as video streaming, critical-mission, and health applications, require real-time or near real-time data delivery. In this context, Software Defined Networking (SDN) has been introduced to simplify the network management providing a more dynamic and flexible configuration based on centralizing the network intelligence. One of the main challenges… Read full abstract & cite →

Software Defined Networking (SDN) Controller Placement Problem (CPP) physical network graph robustness metrics reliability resilience

Abstract doi.org/10.14569/IJACSA.2019.0101274 PDF

75

Vulnerable Road User Detection using YOLO v3

Author 1: Saranya K C Author 2: Arunkumar Thangavelu

Detection and classification of vulnerable road users (VRUs) is one of the most crucial blocks in vision based navigation systems used in Advanced Driver Assistance Systems. This paper seeks to evaluate the performance of object classification algorithm, You Only Look Once i.e. YOLO v3 algorithm for the purpose of detection… Read full abstract & cite →

Yolo v3 Tsinghua-Daimler cyclist benchmark cy-clist detection pedestrian detection IoU

Abstract doi.org/10.14569/IJACSA.2019.0101275 PDF

76

On Developing an Integrated Family Mobile Application

Author 1: Subhieh El-Salhi Author 2: Fairouz Farouq Author 3: Randa Obeidallah Author 4: Mo’taz Al-Hami

Now-a-days mobile applications have been seen as the most effective, popular and powerful technologies and this is due to the widespread of mobile devices. Moreover, the raising power of mobile devices has a great impact on people of all ages; and more specifically on social relationships including interaction between parents… Read full abstract & cite →

Mobile technology social apps family mobile ap-plication Augmented Reality (AR)

Abstract doi.org/10.14569/IJACSA.2019.0101276 PDF

77

Assessing Architectural Sustainability during Software Evolution using Package-Modularization Metrics

Author 1: Mohsin Shaikh Author 2: Dilshod Ibarhimov Author 3: Baqir Zardari

Sustainability of software architectures is largely dependent on cost-effective evolution and modular architecture. Careful modularization, characterizing proper design of complex system is cognitive and challenging task for insuring improved sustainability. Moreover, failure to modularize the software sys-tems during its evolution phases often results in requiring extra effort towards managing design… Read full abstract & cite →

Software architecture software modularity soft-ware quality packages

Abstract doi.org/10.14569/IJACSA.2019.0101277 PDF

78

Knowledge Construction by Immersion in Virtual Reality Environments

Author 1: Luis Alfaro Author 2: Claudia Rivera Author 3: Jorge Luna-Urquizo Author 4: Sofia Alfaro Author 5: Francisco Fialho

The objective of this work is to analyze the potential use of Immersive Virtual Reality technologies as a teaching/learning tool to enrich the organization of the learning environments of educational programs. The study and analysis of human cognition is theoretically based, also considering the Biology of Cognition and various approaches… Read full abstract & cite →

Computer assisted learning environments immer-sive technologies virtual reality full immersion in virtual reality environments knowledge construction by immersion in virtual reality

Abstract doi.org/10.14569/IJACSA.2019.0101278 PDF

79

A Technical Guide for the RASP-FIT Tool

Author 1: Abdul Rafay Khatri

Fault injection tools are designed to serve various purposes, such as validate the design under test concerning reli-ability requirements, find sensitive/critical locations that require error mitigation, determine the expected circuit response in the existence of faults. Fault Simulation/Emulation (S/E) applications are involved in Field Programmable Gate Array (FPGA) based design’s… Read full abstract & cite →

Code-modifier fault injection FPGA designs fault injection tool Verilog HDL

Abstract doi.org/10.14569/IJACSA.2019.0101279 PDF

80

Internet of Things Cyber Attacks Detection using Machine Learning

Author 1: Jadel Alsamiri Author 2: Khalid Alsubhi

The Internet of Things (IoT) combines hundreds of millions of devices which are capable of interaction with each other with minimum user interaction. IoT is one of the fastest-growing areas in of computing; however, the reality is that in the extremely hostile environment of the internet, IoT is vulnerable to… Read full abstract & cite →

Network anomaly detection machine learning In-ternet of Things (IoT) cyberattacks bot-IoT dataset

Abstract doi.org/10.14569/IJACSA.2019.0101280 PDF

81

UAV Path Planning for Civil Applications

Author 1: IDALENE Asmaa Author 2: BOUKHDIR Khalid Author 3: MEDROMI Hicham

We will present a simple and efficient algorithm for solving the path planning problem for civil UAV operating in a dynamic or incomplete environment. This algorithm searches for a continuous waypoints sequence starting from the initial configuration, visiting all the desired locations and reaching the final position. We will present… Read full abstract & cite →

Unmanned Aerial Vehicle (UAV) path planning path re-planning computer simulation

Abstract doi.org/10.14569/IJACSA.2019.0101281 PDF

82

Evaluating Programmed Artificial Insemination for Cattle Production

Author 1: Takuya Yoshihara Author 2: Yunan He Author 3: Osamu Fukuda Author 4: Hiroshi Okumura Author 5: Kohei Arai Author 6: Iqbal Ahmed Author 7: Kenji Endo Author 8: Naoki Takenouchi Author 9: Hideo Matsuda Author 10: Tadayuki Yamanouchi Author 11: Junki Egashira Author 12: Kenichi Yamashita

Cattle productivity in Japan has been declining though livestock farmers and breeders tried to use artificial insemination regularly. The reason behind this declining produc-tivity is the poor evaluation of the applicability of artificial insem-ination. To address this issue, this research proposes an objective evaluation method to estimate the applicability of… Read full abstract & cite →

Bayesian network programmed artificial insemina-tion cattle production

Abstract doi.org/10.14569/IJACSA.2019.0101282 PDF

83

Employing Takaful Islamic Banking through State of the Art Blockchain: A Case Study

Author 1: Mohammad Abdeen Author 2: Salman Jan Author 3: Sohail Khan Author 4: Toqeer Ali

Takaful – an Islamic alternative to conventional in-surance – is fast becoming one of the most important constituents of modern Islamic financial market. The fundamental difference between the two forms of risk mitigation is entrenched from the type of contract selected. The conventional insurance work on the principle of bilateral… Read full abstract & cite →

Takaful hyperledger blockchain consensus de-centralized network muzariba and wakalah

Abstract doi.org/10.14569/IJACSA.2019.0101283 PDF

84

BulkSort: System Design and Parallel Hardware Implementation Considerations

Author 1: Soukaina Ihirri Author 2: Ahmed Errami Author 3: Mohammed Khaldoun Author 4: Essaid Sabir

Algorithms are commonly perceived as difficult subjects. Many applications today require complex algorithms. However, the researchers look for ways to make them as simple as possible. In high time demanding fields, the process of sorting represents one of the foremost issues in the data structure for searching and optimization algorithms… Read full abstract & cite →

Sorting FPGA bulk-sort parallel processing

Abstract doi.org/10.14569/IJACSA.2019.0101284 PDF

85

Semantic Knowledge Transformation for Context-aware Heterogeneous Formalisms

Author 1: Hafiz Mahfooz Ul Haque Author 2: Sajid Ullah Khan Author 3: Ibrar Hussain

In recent years, an increasing social dependency has been observed over the cell phones and now evolved into smart devices. Due to the rapid escalation of these smart devices, users are becoming habitual in utilizing these services using smart-phones and /or wearable devices in which different applications are running to… Read full abstract & cite →

Context-aware system semantic knowledge trans-formation ontology interoperability smart spaces

Abstract doi.org/10.14569/IJACSA.2019.0101285 PDF

86

Performance Analysis of Network Intrusion Detection System using Machine Learning

Author 1: Abdullah Alsaeedi Author 2: Mohammad Zubair Khan

With the coming of the Internet and the increasing number of Internet users in recent years, the number of attacks has also increased. Protecting computers and networks is a hard task. An intrusion detection system is used to detect attacks and to protect computers and network systems from these attacks… Read full abstract & cite →

Intrusion Detection System (IDS) classifiers AI machine learning KDD99 CICIDS2017 DoS U2R R2L

Abstract doi.org/10.14569/IJACSA.2019.0101286 PDF

87

Embedded Mission Decision-Making based on Dynamic Decision Networks in SoPC Platform

Author 1: Hanen Chenini

This paper tackles a Bayesian Decision Making approach for unmanned aerial vehicle (UAV) mission that allows UAV to quickly react to unexpected events under dynamic environments. From online observations and the mission state-ment, the proposed approach is designed by means of Dynamic Bayesian Networks (DBN) arising from the safety or… Read full abstract & cite →

Bayesian Decision Making Dynamic Bayesian Net-works (DBN) Multiple-Criteria Decision-Making (MCDM) SoPC practical case

Abstract doi.org/10.14569/IJACSA.2019.0101287 PDF

88

Adaptive Cluster based Model for Fast Video Background Subtraction

Author 1: Muralikrishna SN Author 2: Balachandra Muniyal Author 3: U Dinesh Acharya

Background subtraction (BGS) is one of the impor-tant steps in many automatic video analysis applications. Several researchers have attempted to address the challenges due to illumination variation, shadow, camouflage, dynamic changes in the background and bootstrapping requirement. In this paper, a method to perform BGS using dynamic clustering is proposed… Read full abstract & cite →

Background subtraction Gaussian mixture model -means clustering object detection transform

Abstract doi.org/10.14569/IJACSA.2019.0101288 PDF

89

High Predictive Performance of Dynamic Neural Network Models for Forecasting Financial Time Series

Author 1: Haya Alaskar

The study presents high predictive performance of dynamic neural network models for noisy time series data; explicitly, forecasting the financial time series from the stock market. Several dynamic neural networks with different architecture models are implemented for forecasting stock market prices and oil prices. A comparative analysis of eight architectures… Read full abstract & cite →

Dynamic neural network financial time series prediction stock market financial forecasting deep learning-based technique

Abstract doi.org/10.14569/IJACSA.2019.0101289 PDF

90

Improving Gated Recurrent Unit Predictions with Univariate Time Series Imputation Techniques

Author 1: Anibal Flores Author 2: Hugo Tito Author 3: Deymor Centty

The work presented in this paper has its main objective to improve the quality of the predictions made with the recurrent neural network known as Gated Recurrent Unit (GRU). For this, instead of making different adjustments to the architecture of the neural network in question, univariate time series imputation techniques… Read full abstract & cite →

Gated recurrent unit local average of nearest neighbors case based reasoning imputation GRU+LANN GRU+CBRi

Abstract doi.org/10.14569/IJACSA.2019.0101290 PDF