IJACSA Vol. 8 Issue 12 (2017)

1

Impact of Different Data Types on Classifier Performance of Random Forest, Naïve Bayes, and K-Nearest Neighbors Algorithms

Author 1: Asmita Singh Author 2: Malka N. Halgamuge Author 3: Rajasekaran Lakshmiganthan

This study aims to evaluate impact of three different data types (Text only, Numeric Only and Text + Numeric) on classifier performance (Random Forest, k-Nearest Neighbor (kNN) and Naïve Bayes (NB) algorithms). The classification problems in this study are explored in terms of mean accuracy and the effects of varying… Read full abstract & cite →

Big data random forest Naïve Bayes k-nearest neighbors algorithm

Abstract doi.org/10.14569/IJACSA.2017.081201 PDF

2

Cluster Formation and Cluster Head Selection Approach for Vehicle Ad-Hoc Network (VANETs) using K-Means and Floyd-Warshall Technique

Author 1: Iftikhar Hussain Author 2: Chen Bingcai

Vehicular Ad-hoc Network (VANETs) is the specific form of Mobile ad-hoc networking (MANETs) in which high dynamic nodes are utilized in carrying out the operations. They are mainly used in urban areas for safety traveling. Clustering algorithms are used for clustering the vehicles that are in the range of the… Read full abstract & cite →

Vehicular Ad-hoc Network (VANETs) Mobile ad-hoc networking (MANETs) K-Mean clustering cluster head selection Floyd-Warshall

Abstract doi.org/10.14569/IJACSA.2017.081202 PDF

3

State-of-the-Art and Open Challenges in RTS Game-AI and Starcraft

Author 1: Khan Adil Author 2: Feng Jiang Author 3: Shaohui Liu Author 4: Worku Jifara Author 5: Zhihong Tian Author 6: Yunsheng Fu

This paper presents a review of artificial intelligence for different approaches used in real-time strategy games. Real-time strategy (RTS) based games are quick combat games in which the objective is to dominate and destroy the opposing enemy such as Rome-total war, Starcraft, the age of empires, and command & conquer… Read full abstract & cite →

Real Time Strategy (RTS) Game-AI Starcraft MMOG AIIDE CIG MOBA

Abstract doi.org/10.14569/IJACSA.2017.081203 PDF

4

Intelligent Classification of Liver Disorder using Fuzzy Neural System

Author 1: Mohammad Khaleel Sallam Ma’aitah Author 2: Rahib Abiyev Author 3: Idoko John Bush

In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System (FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are explored for the detection of liver disorders. The structure and learning algorithm of the FNS are described. In this study, we… Read full abstract & cite →

Artificial neural networks fuzzy systems fuzzy neural systems liver disorders

Abstract doi.org/10.14569/IJACSA.2017.081204 PDF

5

Training an Agent for FPS Doom Game using Visual Reinforcement Learning and VizDoom

Author 1: Khan Adil Author 2: Feng Jiang Author 3: Shaohui Liu Author 4: Aleksei Grigorev Author 5: B.B. Gupta Author 6: Seungmin Rho

Because of the recent success and advancements in deep mind technologies, it is now used to train agents using deep learning for first-person shooter games that are often outperforming human players by means of only screen raw pixels to create their decisions. A visual Doom AI Competition is organized each… Read full abstract & cite →

Visual reinforcement learning Deep Q-learning FPS CNN computational intelligence Game-AI VizDoom agent bot DOOM

Abstract doi.org/10.14569/IJACSA.2017.081205 PDF

6

Development of an Improved Algorithm for Image Processing: A Proposed Algorithm for Optimal Reduction of Shadow from the Image

Author 1: Yahia S. AL-Halabi

Shadow detection is the most important aspect in the field of image processing. It has become essential to develop such algorithms that are capable of processing the images with the maximum efficiency. Therefore, the research has aimed to propose an algorithm that effectively processes the image on the basis of… Read full abstract & cite →

Image processing shadow algorithm detection filter luminance morphological processing

Abstract doi.org/10.14569/IJACSA.2017.081206 PDF

7

An Automatic Dysarthric Speech Recognition Approach using Deep Neural Networks

Author 1: Jun Ren Author 2: Mingzhe Liu

Transcribing dysarthric speech into text is still a challenging problem for the state-of-the-art techniques or commercially available speech recognition systems. Improving the accuracy of dysarthric speech recognition, this paper adopts Deep Belief Neural Networks (DBNs) to model the distribution of dysarthric speech signal. A continuous dysarthric speech recognition system is… Read full abstract & cite →

Dysarthric speech recognition deep neural networks hidden markov models

Abstract doi.org/10.14569/IJACSA.2017.081207 PDF

8

Internet Orchestra of Things: A Different Perspective on the Internet of Things

Author 1: Cristina Turcu Author 2: Cornel Turcu

The Internet of Things (IoT) is defined as a global network that links together living and/or non-living entities, such as people, animals, software, physical objects or devices. These entities can interact with each other, gather, provide or transmit information to the IoT. Although the Internet of Things is a relatively… Read full abstract & cite →

Internet of Things music game education RFID robot

Abstract doi.org/10.14569/IJACSA.2017.081208 PDF

9

Deep Learning-Based Recommendation: Current Issues and Challenges

Author 1: Rim Fakhfakh Author 2: Anis Ben Ammar Author 3: Chokri Ben Amar

Due to the revolutionary advances of deep learning achieved in the field of image processing, speech recognition and natural language processing, the deep learning gains much attention. The recommendation task is influenced by the deep learning trend which shows its significant effectiveness and the high-quality of recommendations. The deep learning… Read full abstract & cite →

Recommender system deep learning neural network YouTube recommendation

Abstract doi.org/10.14569/IJACSA.2017.081209 PDF

10

A Comparative Study of Forensic Tools for WhatsApp Analysis using NIST Measurements

Author 1: Rusydi Umar Author 2: Imam Riadi Author 3: Guntur Maulana Zamroni

One of the popularly used features on Android smartphone is WhatsApp. WhatsApp can be misused, such as for criminal purposes. To conduct investigation involving smartphone devices, the investigators need to use forensic tools. Nonetheless, the development of the existing forensic tool technology is not as fast as the development of… Read full abstract & cite →

Whatsapp acquisition NIST parameters artifact

Abstract doi.org/10.14569/IJACSA.2017.081210 PDF

11

Big Data Processing for Full-Text Search and Visualization with Elasticsearch

Author 1: Aleksei Voit Author 2: Aleksei Stankus Author 3: Shamil Magomedov Author 4: Irina Ivanova

In this paper, the task of using Big Data to identify specific individuals on the indirect grounds of their interaction with information resources is considered. Possible sources of Big Data and problems related to its processing are analyzed. Existing means of data clustering are considered. Available software for full-text search… Read full abstract & cite →

Big Data processing verification elasticsearch MapReduce data clustering

Abstract doi.org/10.14569/IJACSA.2017.081211 PDF

12

A New Approach for Grouping Similar Operations Extracted from WSDLs Files using K-Means Algorithm

Author 1: Rekkal Sara Author 2: Amrane Fatima Author 3: Loukil Lakhdar

Grouping similar operations is an effective solution to the various problems, especially those related to research because the services will be classified by joint operations. Searching for a particular operation returns, as a result, all services with this same operation, but also the problems related to the substitution (such as… Read full abstract & cite →

Web services WSDL inputs outputs similarity syntax analysis semantic analysis Hungarian maximum matching K-means

Abstract doi.org/10.14569/IJACSA.2017.081212 PDF

13

Predicting Future Gold Rates using Machine Learning Approach

Author 1: Iftikhar ul Sami Author 2: Khurum Nazir Junejo

Historically, gold was used for supporting trade transactions around the world besides other modes of payment. Various states maintained and enhanced their gold reserves and were recognized as wealthy and progressive states. In present times, precious metals like gold are held with central banks of all countries to guarantee re-payment… Read full abstract & cite →

Gold rates prediction forecasting linear regression neural networks ARMA Model

Abstract doi.org/10.14569/IJACSA.2017.081213 PDF

14

Leisure Technology for the Elderly: A Survey, User Acceptance Testing and Conceptual Design

Author 1: Chow Sook Theng Author 2: Saravanan Sagadevan Author 3: Nurul Hashimah Ahamed Hassain Malim

The Alzheimer’s disease damages neuronal and synaptic system due to the high level of amyloid beta in the brain. It is the common cause of dementia which is more common to afflict the elderly where they will gradually loss their memory and communication skills as well as deterioration of thinking… Read full abstract & cite →

Leisure technology user acceptance cognitive ability elderly

Abstract doi.org/10.14569/IJACSA.2017.081214 PDF

15

Machine Learning based Predictive Model for Screening Mycobacterium Tuberculosis Transcriptional Regulatory Protein Inhibitors from High-Throughput Screening Dataset

Author 1: Syed Asif Hassan Author 2: Tabrej Khan

In view of the essential role played by dosRS in the survival of Mycobacterium in the infected granuloma cells, dosRS transcriptional regulatory proteins were considered as a validated target for high throughput screening (HTS). However, the cost and time factor involved in screening large compound libraries are an important hurdle… Read full abstract & cite →

Mycobacterium dosRS-transcriptional regulatory proteins High Throughput Screening (HTS) virtual screening machine learning algorithms classification predictive chemoinformatics model

Abstract doi.org/10.14569/IJACSA.2017.081215 PDF

16

A Machine Learning Model to Predict the Onset of Alzheimer Disease using Potential Cerebrospinal Fluid (CSF) Biomarkers

Author 1: Syed Asif Hassan Author 2: Tabrej Khan

Clinical studies in the past have shown that the pathology of Alzheimer’s disease (AD) initiates, 10 to 15 years before the visible clinical symptoms of cognitive impairment starts to appear in AD diagnosed patients. Therefore, early diagnosis of the AD using potential early stage cerebrospinal fluid (CSF) biomarkers will be… Read full abstract & cite →

Alzheimer disease early-stage biomarker machine learning algorithm classification model accuracy sensitivity

Abstract doi.org/10.14569/IJACSA.2017.081216 PDF

17

Performance vs. Power and Energy Consumption: Impact of Coding Style and Compiler

Author 1: Hesham H M Hassan Author 2: Ahmed Shawky Moussa Author 3: Ibrahim Farag

Reaching a balance between performance and energy consumption has always been a difficult objective to achieve for energy and power-aware applications. The work presented in this paper investigates the impact of using different coding styles to achieve a balance between performance and energy efficiency. The research also studies how different… Read full abstract & cite →

Energy consumption energy efficiency power-aware performance coding styles coding practice compilers

Abstract doi.org/10.14569/IJACSA.2017.081217 PDF

18

Factors Influencing the Adoption of ICT by Teachers in Primary Schools in Saudi Arabia

Author 1: Sami Alshmrany Author 2: Brett Wilkinson

Information and communication technology (ICT) has become part of everyday life for the many people in business, entertainment, education and many other areas of human activity. Students in primary school are just beginning to learn and accept new ideas, show a maturing creativity, develop critical thinking and decision making skills… Read full abstract & cite →

Information and communication technology (ICT) primary education Saudi Arabia computer literacy behavioural influence

Abstract doi.org/10.14569/IJACSA.2017.081218 PDF

19

Low Power Low Jitter 0.18 CMOS Ring VCO Design with Strategy based on EKV3.0 Model

Author 1: Amine AYED Author 2: Hamadi GHARIANI

In this paper, the design of micro-power CMOS ring VCO with minimum jitter intended for a concept of frequency synthesizer in biotelemetry systems is studied. A design procedure implemented in MATLAB is described for a circuit realization with TSMC 0.18µm CMOS technology. This conventional design methodology based on EKV3.0 model… Read full abstract & cite →

Ring VCO jitter power consumption EKV model MATLAB

Abstract doi.org/10.14569/IJACSA.2017.081219 PDF

20

Bio-NER: Biomedical Named Entity Recognition using Rule-Based and Statistical Learners

Author 1: Pir Dino Soomro Author 2: Santosh Kumar Banbhrani Author 3: Arsalan Ali Shaikh Author 4: Hans Raj

The purpose of extracting of Bio-Medical Entities is to recognize the particular entities, whether word or phrases, from the unstructured data contained in the text. This work proposes different approaches and methods, i.e. Machine Learning Hybrid Classification, Rule Based Non-tested Generalized Exemplars and Partial Decision Tree (PART) Learners for Bio-Medical… Read full abstract & cite →

Bio-medical text mining machine learning named entity recognition naive bayesian rule-based classifier information extraction

Abstract doi.org/10.14569/IJACSA.2017.081220 PDF

21

Distributed GPU-Based K-Means Algorithm for Data-Intensive Applications: Large-Sized Image Segmentation Case

Author 1: Hicham Fakhi Author 2: Omar Bouattane Author 3: Mohamed Youssfi Author 4: Hassan Ouajji

K-means is a compute-intensive iterative algorithm. Its use in a complex scenario is cumbersome, specifically in data-intensive applications. In order to accelerate the K-means running time for data-intensive application, such as large sized image segmentation, we use a distributed multi-agent system accelerated by GPUs. In this K-means version, the input… Read full abstract & cite →

Distributed computing GPU computing K-means image segmentation

Abstract doi.org/10.14569/IJACSA.2017.081221 PDF

22

Chi-Square Automatic Interaction Detection Modeling for Predicting Depression in Multicultural Female Students

Author 1: Haewon Byeon

This study developed a depression prediction model for female students from multicultural families by using a decision tree model based on Chi-squared automatic interaction detection (CHAID) algorithm. Subjects of the study were 9,024 female students between 12 and 15 years old among the children of surveyed marriage immigrants. Outcome variables… Read full abstract & cite →

CHAID data mining multicultural family risk factors depression

Abstract doi.org/10.14569/IJACSA.2017.081222 PDF

23

Teaching Programming to Students in other Fields

Author 1: Ivaylo Donchev Author 2: Emilia Todorova

It is a fact that programming is difficult to learn. On the other hand, programming skills are essential for each program in the field of computing and must be covered in the curriculum, regardless of the profile. Our experience in the last 3-4 years shows a noticeable downward trend in… Read full abstract & cite →

Programming curricula objects-first teaching programming object-oriented education programming problem solving skills politology

Abstract doi.org/10.14569/IJACSA.2017.081223 PDF

24

A Proposed Hybrid Effective Technique for Enhancing Classification Accuracy

Author 1: Ibrahim M. El-Hasnony Author 2: Hazem M. El-Bakry Author 3: Omar H. Al-Tarawneh Author 4: Mona Gamal

The automatic prediction and detection of breast cancer disease is an imperative, challenging problem in medical applications. In this paper, a proposed model to improve the accuracy of classification algorithms is presented. A new approach for designing effective pre-processing stage is introduced. Such approach integrates K-means clustering algorithm with fuzzy… Read full abstract & cite →

Data mining bioinformatics fuzzy rough feature selection correlation feature selection and data classification

Abstract doi.org/10.14569/IJACSA.2017.081224 PDF

25

A New Parallel Matrix Multiplication Algorithm on Tree-Hypercube Network using Iman1 Supercomputer

Author 1: Orieb AbuAlghanam Author 2: Mohammad Qatawneh Author 3: Hussein A. al Ofeishat Author 4: Omar Adwan Author 5: Ammar Huneiti

The tree-hypercube (TH) interconnection network is relatively a new interconnection network, which is constructed from tree and hypercube topologies. TH is developed to support parallel algorithms for solving computation and communication intensive problems. In this paper, we propose a new parallel multiplication algorithm on TH network to present broadcast communication… Read full abstract & cite →

MPI supercomputer tree-hypercube matrix multiplication

Abstract doi.org/10.14569/IJACSA.2017.081225 PDF

26

Fuzzy Logic Energy Management Strategy of a Hybrid Renewable Energy System Feeding a Typical Tunisian House

Author 1: Sameh ZENNED Author 2: Houssem CHAOUALI Author 3: Abdelkader MAMI

This paper proposes an energy management strategy for hybrid power system HPS which is composed of a photovoltaic generator, wind turbine, fuel cell generator and NaS battery storage device, feeding a type house. This strategy is based on Fuzzy Logic Control technique. The hybrid power system is sized to provide… Read full abstract & cite →

Energy management strategy hybrid power system photovoltaic generator wind turbine fuel cell generator nas battery fuzzy logic control technique

Abstract doi.org/10.14569/IJACSA.2017.081226 PDF

27

Recommender System for Journal Articles using Opinion Mining and Semantics

Author 1: Anam Sardar Author 2: Javed Ferzund Author 3: Muhammad Asif Suryani Author 4: Muhammad Shoaib

Till date, the dominant part of Recommender Systems (RS) work focusing on single domain, i.e. for films, books and shopping and so on. However, human inclinations may traverse over numerous areas. Thus, utilization practices on related things from various domains can be valuable for RS to make recommendations. Academic articles… Read full abstract & cite →

Recommendation system journal recommendation system user opinion sementic similarity text analysis

Abstract doi.org/10.14569/IJACSA.2017.081227 PDF

28

The Computation of Assimilation of Arabic Language Phonemes

Author 1: Ayad Tareq Imam Author 2: Jehad Ahmad Alaraifi

The computational phonology is fairly a new science that deals with studying phonological rules under the computation point of view. Computational phonology is based on the phonological rules, which are the processes that are applied to phonemes to produce another phoneme under specific phonetic environment. A type of these phonological… Read full abstract & cite →

Computational phonology phonological rules assimilation phonological coarticulation artificial neural networks MATLAB

Abstract doi.org/10.14569/IJACSA.2017.081228 PDF

29

Quantifying Integrity Impacts in Security Risk Scoring Models

Author 1: Eli Weintraub

Organizations are attacked daily by criminal hackers. Managers need to know what kinds of cyber-attacks they are exposed to, for taking defense activities. Attackers may cause several kinds of damages according to the knowledge they have on organizations’ configuration and of systems’ vulnerabilities. One possible result of attacks is damaging… Read full abstract & cite →

Security cyber-attack risk score vulnerability database integrity

Abstract doi.org/10.14569/IJACSA.2017.081229 PDF

30

Harmonics Measurement in Computer Laboratory and Design of Passive Harmonic Filter using MATLAB

Author 1: Muhammad Usman Keerio Author 2: Muhammad Shahzad Bajwa Author 3: Abdul Sattar Saand Author 4: Munwar Ayaz memon

In this paper the harmonics measurement for computer loads is analyzed and passive filters are designed for mitigating those harmonics. The filters are designed to meet the IEEE standard 519-1992 which is recommended for harmonic current limits. Personal computers are non-linear loads that generate harmonics due to non-sinusoidal current present… Read full abstract & cite →

Power Quality (PQ) personal computers Total Harmonic Distortion (THD) passive filter MATLAB/Simulink

Abstract doi.org/10.14569/IJACSA.2017.081230 PDF

31

Analysis of Energy Saving Approaches in Cloud Computing using Ant Colony and First Fit Algorithms

Author 1: Alaa Ahmed Author 2: Mostafa Ibrahim

Cloud computing is a style of technology that is increasingly used every day. It requires the use of an important amount of resources that is dynamically provided as a service. The growth of energy consumption associated to the process of resource allocation implemented in the cloud computing is an important… Read full abstract & cite →

Cloud computing VM migration first fit ant colony energy savaging

Abstract doi.org/10.14569/IJACSA.2017.081231 PDF

32

TLM-2 Base Protocol Analysis for Model-Driven Design

Author 1: Salaheddine Hamza Sfar Author 2: Rached Tourki

The system-on-chip design cost is not only dependent on implementation and manufacturing techniques, but also on the used methodologies and design tools. In recent years, transaction level modelling (TLM) and more specifically the SystemC TLM-2 library has become the standard in writing a system-level specification. Even though TLM-2 based models… Read full abstract & cite →

Electronic system level design systemC transaction level modelling model-driven engineering

Abstract doi.org/10.14569/IJACSA.2017.081232 PDF

33

Multicast Routing with Load Balancing in Multi-Channel Multi-Radio Wireless Mesh Networks

Author 1: Atena Asami Author 2: Majid Asadi Shahmirzadi Author 3: Sam Jabbehdari

By an increasing expansion of multimedia services and group communication applications, the need for multicast routing to respond to multicast requests in wireless mesh networks is felt more than before. One of the main challenges in multi-channel multi-radio wireless mesh networks is the efficient use of the capacity of channels… Read full abstract & cite →

Wireless mesh network multi-radio multi-channel multicast routing channels load balancing genetic algorithm

Abstract doi.org/10.14569/IJACSA.2017.081233 PDF

34

Unsupervised Video Surveillance for Anomaly Detection of Street Traffic

Author 1: Muhammad Umer Farooq Author 2: Najeed Ahmed Khan Author 3: Mir Shabbar Ali

Intelligent transportation systems enables the analysis of large multidimensional street traffic data to detect pattern and anomaly, which otherwise is a difficult task. Advancement in computer vision makes great contribution in the progress of video based traffic surveillance system. But still there are some challenges which need to be solved… Read full abstract & cite →

Kalman filter Gaussian mixture model DBSCAN clustering similarity matrix occlusion computer vision traffic surveillance Intelligent Transport Systems (ITS)

Abstract doi.org/10.14569/IJACSA.2017.081234 PDF

35

Browser-Based DDoS Attacks without Javascript

Author 1: Ryo Kamikubo Author 2: Taiichi Saito

Recently, browser-based distributed denial of service (DDoS) attacks, in which a malicious JavaScript program is distributed through an advertisement network, and runs in the background of the web browser, were observed. In this paper, we address a question whether browser-based DDoS attacks can be realized without JavaScript. We construct new… Read full abstract & cite →

Browser denial of service (DoS) distributed denial of service (DDoS) attacks HTML JavaScript botnets networks

Abstract doi.org/10.14569/IJACSA.2017.081235 PDF

36

A Method for Analyzing and Designing Microservice Holistically

Author 1: Ahmad Tarmizi Abdul Ghani Author 2: Mohd. Shanudin Zakaria

Microservice is a new architecture that is getting attention in the development of service systems. However, microservice is still at the early stage and the acceptance of this architecture is overwhelming. Microservice architecture is a promising architecture in delivering loosely coupled, decentralized, and scalable system that utilizes the latest technology… Read full abstract & cite →

Microservice service design promise theory viable system model Viplan method

Abstract doi.org/10.14569/IJACSA.2017.081236 PDF

37

Capacitated Vehicle Routing Problem Solving using Adaptive Sweep and Velocity Tentative PSO

Author 1: M. A. H. Akhand Author 2: Zahrul Jannat Peya Author 3: Kazuyuki Murase

Vehicle Routing Problem (VRP) has become an integral part in logistic operations which determines optimal routes for several vehicles to serve customers. The basic version of VRP is Capacitated VRP (CVRP) which considers equal capacities for all vehicles. The objective of CVRP is to minimize the total traveling distance of… Read full abstract & cite →

Capacitated vehicle routing problem Sweep clustering and velocity tentative particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2017.081237 PDF

38

Comparative Analysis of ANN Techniques for Predicting Channel Frequencies in Cognitive Radio

Author 1: Imran Khan Author 2: Shaukat Wasi Author 3: Adnan Waqar Author 4: Saima Khadim

Demand of larger bandwidth increases the spectrum scarcity problem. By using the concepts of Cognitive radio we can achieve an efficient spectrum utilization. The cognitive radio allows the unlicensed user to share the licensed user band. To sense the accessibility of vacant channel and allocation of licensed user band is… Read full abstract & cite →

Cognitive radio machine learning artificial neural network frequencies band feed forward neural network Elman Radial basis

Abstract doi.org/10.14569/IJACSA.2017.081238 PDF

39

Motivators and Demotivators of Agile Software Development: Elicitation and Analysis

Author 1: Shahbaz Ahmed Khan Ghayyur Author 2: Salman Ahmed Author 3: Adnan Naseem Author 4: Abdul Razzaq

Motivators and demotivators are key factors in software productivity. Both are also critical to the success of Agile software development. Literature reports very diverse and multidimensional critical factors affecting the quality of Agile software development, thus, there is a need to extract and map required factors systematically for wider implications… Read full abstract & cite →

Agile methodology systematic mapping motivators demotivators Agile teams Agile software development

Abstract doi.org/10.14569/IJACSA.2017.081239 PDF

40

D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks

Author 1: Hamid Tabatabaee

Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them. One of the new approaches to describe knowledge of the social network is through a concise structure called conceptual view. In order to build… Read full abstract & cite →

Social network analysis frequent conceptual link data mining graph mining

Abstract doi.org/10.14569/IJACSA.2017.081240 PDF

41

Iterative Learning Control for Trajectory Tracking of Single-link Flexible Arm

Author 1: Marouen Mejerbi Author 2: Sameh Zribi Author 3: Jilani Knani

This paper focuses on the issue of tracking the trajectory of a flexible arm. The purpose is to ensure the flexible arm follows the desired path in the joint space. To achieve our objective, we have three problems to solve: modeling, control, and trajectory planning. As in the case of… Read full abstract & cite →

Single-link flexible arm finite element trajectory tracking iterative learning control linear matrix inequality bounded real lemma

Abstract doi.org/10.14569/IJACSA.2017.081241 PDF

42

Biometrics Recognition based on Image Local Features Ordinal Encoding

Author 1: Simina Emerich Author 2: Bogdan Belean

In the present informational era, with the continue extension of embedded computing systems, the demand of faster and robust image descriptors is an important issue. However, image representation and recognition is an open problem. The aim of the paper is to embrace ordinal measurements for image analysis and to apply… Read full abstract & cite →

Biometrics image local features ordinal measurements iris dorsal hand veins

Abstract doi.org/10.14569/IJACSA.2017.081242 PDF

43

Creation and Usability Evaluating of E-Learning Contents for Automobile Repair Block Painting

Author 1: Shigeru Ikemoto Author 2: Yuka Takai Author 3: Hiroyuki Hamada Author 4: Noriaki Kuwahara

Due to the fact that paintwork in the automobile repair industry requires individual correspondence, work by human hands is indispensable. Although the skills of expert engineers have a great influence on the finish, learning these skills require a lot of experience and time. In Japan, the number of young people… Read full abstract & cite →

Automobile repair block painting expert e-learning usability

Abstract doi.org/10.14569/IJACSA.2017.081243 PDF

44

The Use of a Simplex Method with an Artificial basis in Modeling of Flour Mixtures for Bakery Products

Author 1: Natalia A. Berezina Author 2: Andrey V. Artemov Author 3: Igor A. Nikitin Author 4: Igor V. Zavalishin Author 5: Andrey N. Ryazanov

Modeling of flour mixtures for bakery products of increased biological value is done. The problem is solved by a simplex method with an artificial basis related to numerical optimization methods for solving linear programming problems. A mathematical model of the composition of a polycomponent flour mixture has been constructed. The… Read full abstract & cite →

Modeling simplex method polycomponent flour mixture bakery products biological value quality

Abstract doi.org/10.14569/IJACSA.2017.081244 PDF

45

A Cascaded H-Bridge Multilevel Inverter with SOC Battery Balancing

Author 1: Khalili Tajeddine Author 2: Raihani Abdelhadi Author 3: Bouattane Omar Author 4: Ouajji Hassan

In this paper, we present a single phase 5 levels H-Bridge multilevel inverter (CHMLI) with battery balancing technique. Each single full bridge is directly connected to a battery inside the power bank. The different combinations and batteries wiring sets offer the possibility to control the batteries discharge. The cascaded H-Bridge… Read full abstract & cite →

Cascaded H-Bridge multilevel inverter battery discharge SOC balancing

Abstract doi.org/10.14569/IJACSA.2017.081245 PDF

46

Relevance of Energy Efficiency Gain in Massive MIMO Wireless Network

Author 1: Ahmed Alzahrani Author 2: Vijey Thayananthan Author 3: Muhammad Shuaib Qureshi

The massive MIMO and energy efficiency (EE) analysis for the next generation technology are the hottest topics in wireless network research. This paper explains about massive MIMO wireless networks and EE for manifold channel which is an evolution massive MIMO. This research will help to design and implement a practical… Read full abstract & cite →

Massive MIMO manifolds EE gain feedback convergence quantization

Abstract doi.org/10.14569/IJACSA.2017.081246 PDF

47

A Smartwatch Centric Social Networking Application for Alzheimer People

Author 1: Henda Chorfi Ouertani Author 2: Ahlam Al-Mutairi Author 3: Fatimah Al-Shehri Author 4: GhadahAl-Hammad Author 5: Maram Al-Suhaibani Author 6: Munira Al-Holaibah Author 7: Nouf Al-Saleh

In recent years, people are increasingly interacting with an overwhelming of devices especially wearable devices. These later have initiated new ways in human connections with the world. The basic concept of these devices is that they can be worn instead of being carried. They have pervasive and unobtrusive presence. Furthermore… Read full abstract & cite →

Smartwatch Alzheimer broadcast tracking social application

Abstract doi.org/10.14569/IJACSA.2017.081247 PDF

48

Text Summarization of Multi-Aspect Comments in Social Networks in Persian Language

Author 1: Hossein Shahverdian Author 2: Hassan Saneifar

Now-a-days, there are increasingly huge amount of user generated comments on the web. The user generated comments usually contains useful and essential information reflecting public’s or customers’ opinions. Since the information in the comments could be used for decision making, production or service improvement, and achieving user satisfaction, the systematic… Read full abstract & cite →

Text mining comments analysis summarization graph summarization Persian language

Abstract doi.org/10.14569/IJACSA.2017.081248 PDF

49

A Decision Support System for Early-Stage Diabetic Retinopathy Lesions

Author 1: Kemal AKYOL Author 2: Safak BAYIR Author 3: Baha SEN

Retina is a network layer containing light-sensitive cells. Diseases that occur in this layer, which performs the eye-sight, threaten our eye-sight directly. Diabetic Retinopathy is one of the main complications of diabetes mellitus and it is the most significant factor contributing to blindness in the later stages of the disease… Read full abstract & cite →

Early stage diabetic retinopathy lesions feature extraction important features image recognition classification decision support system computer aided analysis

Abstract doi.org/10.14569/IJACSA.2017.081249 PDF

50

Examining the Impact of Feature Selection Methods on Text Classification

Author 1: Mehmet Fatih KARACA Author 2: Safak BAYIR

Feature selection that aims to determine and select the distinctive terms representing a best document is one of the most important steps of classification. With the feature selection, dimension of document vectors are reduced and consequently duration of the process is shortened. In this study, feature selection methods were studied… Read full abstract & cite →

Feature selection text classification text mining k-Nearest Neighbors support vector machines

Abstract doi.org/10.14569/IJACSA.2017.081250 PDF

51

Integration of Wearable Smart Sensor for Improving e-Healthcare

Author 1: Vijey Thayananthan Author 2: Abdullah Basuhail

Analyzing health conditions using sensors is one of the daily activities in a healthcare organization. The purpose of this research is to improve the e-healthcare formulated through the integration of wearable smart sensors and miniaturized devices. In this research, monitoring glucose level of the diabetic is considered as an example… Read full abstract & cite →

Smart sensors miniaturized devices e-healthcare applications MIMO manifolds

Abstract doi.org/10.14569/IJACSA.2017.081251 PDF

52

Fish Image Segmentation Algorithm (FISA) for Improving the Performance of Image Retrieval System

Author 1: Amanullah Baloch Author 2: Mushstaq Ali Author 3: Faqir Gul Author 4: Sadia Basir Author 5: Ibrar Afzal

The image features (local, global) pay vital role in image retrieval system. The effectiveness of these image features depends on the application domain, i.e., in some domains the global features generate better results while in others the local features give good results. Different species of fishes have different color, texture… Read full abstract & cite →

Fish body parts segmentation local and global features object extraction image retrieval system image features

Abstract doi.org/10.14569/IJACSA.2017.081252 PDF

53

Recent Approaches to Enhance the Efficiency of Ultra-Wide Band MAC Protocols

Author 1: Mohamed Ali Ahmed Author 2: H. M. Bahig Author 3: Hassan Al-Mahdi

Ultra-wide band (UWB) is a promising radio technology to transmit huge data in short distances between different digital devices or between individual components of a personal computer. Due to the magnificent features of UWB technology, it finds vast research and application interests, such as Wireless Personal Area Networks (WPANs), Wireless… Read full abstract & cite →

Ultra-wide band (UWB) Wireless Personal Area Network (WPAN) Wireless Sensor Network (WSN) Wireless Body Area Network (WBAN) Medium Access Control (MAC) performance metrics

Abstract doi.org/10.14569/IJACSA.2017.081253 PDF

54

Web Unique Method (WUM): An Open Source Blackbox Scanner for Detecting Web Vulnerabilities

Author 1: Muhammad Noman khalid Author 2: Muhammad Iqbal Author 3: Muhammad Talha Alam Author 4: Vishal Jain Author 5: Hira Mirza Author 6: Kamran Rasheed

The internet has provided a vast range of benefits to society, and empowering people in a variety of ways. Due to incredible growth of Internet usage in past 2 decades, everyday a number of new Web applications are also becoming a part of World Wide Web. The distributed and open… Read full abstract & cite →

Automated vulnerability detection black-box scanners web vulnerabilities crawling security scanner

Abstract doi.org/10.14569/IJACSA.2017.081254 PDF

55

Comparative Performance Analysis for Generalized Additive and Generalized Linear Modeling in Epidemiology

Author 1: Talmoudi Khouloud Author 2: Bellali Hedia Author 3: Ben-Alaya Nissaf Author 4: Saez Marc Author 5: Malouche Dhafer Author 6: Chahed Mohamed Kouni

Most environmental-epidemiological researches emphasize modeling as the causal link of different events (e.g., hospital admission, death, disease emergency). There has been a particular concern in the use of the Generalized Linear Models (GLMs) in the field of epidemiology. However, recent studies in this field highlighted the use of non-parametric techniques… Read full abstract & cite →

Generalized linear model generalized additive model zoonotic cutaneous leishmaniasis Central Tunisia

Abstract doi.org/10.14569/IJACSA.2017.081255 PDF

56

A Firefly Algorithm for the Mono-Processors Hybrid Flow Shop Problem

Author 1: Latifa DEKHICI Author 2: Khaled BELKADI

Nature-inspired swarm metaheuristics become one of the most powerful methods for optimization. In discrete optimization, the efficiency of an algorithm depends on how it is adapted to the problem. This paper aims to provide a discretization of the Firefly Algorithm (FF) for the scheduling of a specific manufacturing system, which… Read full abstract & cite →

Firefly algorithm hybrid flow shop metaheuristics discrete optimization

Abstract doi.org/10.14569/IJACSA.2017.081256 PDF

57

Cross-Lingual Sentiment Classification from English to Arabic using Machine Translation

Author 1: Adel Al-Shabi Author 2: Aisah Adel Author 3: Nazlia Omar Author 4: Tareq Al-Moslmi

Cross-lingual sentiment learning is becoming increasingly important due to the multilingual nature of user-generated content on social media and the scarce resources for languages other than English. However, cross-lingual sentiment learning is a challenging task due to the different distribution between translated data and original data and due to the… Read full abstract & cite →

Cross-lingual sentiment classification English to Arabic machine translation

Abstract doi.org/10.14569/IJACSA.2017.081257 PDF

58

RETRACTED: An Improved Homomorphic Encryption for Secure Cloud Data Storage

Author 1: Mohd Rahul Author 2: Hesham A. Alhumyani Author 3: Mohd Muntjir Author 4: Minakshi Kambojl

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Clouds cloud computing issues security homomorphic encryption RSA EIGamal Paillier

Abstract doi.org/10.14569/IJACSA.2017.081258 PDF

59

Multivariate Statistical Analysis on Anomaly P2P Botnets Detection

Author 1: Raihana Syahirah Binti Abdullah Author 2: Faizal M. A. Author 3: Zul Azri Muhamad Noh

Botnets population is rapidly growing and they become a huge threat on the Internet. Botnets has been declared as Advanced Malware (AM) and Advanced Persistent Threat (APT) listed attacks which is able to manipulate advanced technology where the intricacy of threats need for continuous detection and protection. These attacks will… Read full abstract & cite →

P2P botnets anomaly-based chi-square multivariate statistical-based

Abstract doi.org/10.14569/IJACSA.2017.081259 PDF

60

Image noise Detection and Removal based on Enhanced GridLOF Algorithm

Author 1: Ahmed M. Elmogy Author 2: Eslam Mahmoud Author 3: Fahd A. Turki

Image noise removal is a major task in image processing where noise can harness any information inferred from the image especially when the noise level is high. Although there exists many outlier detection approaches used for this task, more enhancements are needed to achieve better performance specifically in terms of… Read full abstract & cite →

Outlier detection image noise removal LOF GridLOF

Abstract doi.org/10.14569/IJACSA.2017.081260 PDF

61

An Optimized Salahaddin University New Campus IP-Network Design using OPNET

Author 1: Ammar. O. Hasan Author 2: Raghad Z.Yousif Author 3: Rakan S.Rashid

Salahaddin University is the oldest and the biggest university in Kurdistan region. It involves 14 colleges and 3 academic centers. The new university campus that will be established on an area of 10km2 provides a challenge of designing, efficient and robust networking infrastructure due to increased demand on data and… Read full abstract & cite →

Fiber Distributed Data Interface (FDDI) Optimized Network Engineering Tool (OPNET) File Transfer Protocol (FTP) Virtual Local Area Networks (VLAN) campus network

Abstract doi.org/10.14569/IJACSA.2017.081261 PDF

62

Rating Prediction with Topic Gradient Descent Method for Matrix Factorization in Recommendation

Author 1: Guan-Shen Fang Author 2: Sayaka Kamei Author 3: Satoshi Fujita

In many online review sites or social media, the users are encouraged to assign a numeric rating and write a textual review as feedback to each product that they have bought. Based on users’ history of feedbacks, recommender systems predict how they assesses the unpurchased products to further discover the… Read full abstract & cite →

Gradient descent matrix factorization Latent Dirichlet Allocation information recommendation

Abstract doi.org/10.14569/IJACSA.2017.081262 PDF

63

Enhanced K-mean Using Evolutionary Algorithms for Melanoma Detection and Segmentation in Skin Images

Author 1: Asmaa Aljawawdeh Author 2: Esraa Imraiziq Author 3: Ayat Aljawawdeh

Nowadays, Melanoma has become one of the most significant public health concerns. Malignant Melanoma (MM) is considered the most rapidly spreading type of skin cancer. In this paper, we have built models for detection, segmentation, and classification of Melanoma in skin images using evolutionary algorithms. The first step was to… Read full abstract & cite →

Melanoma genetic algorithm K-mean particle swarm optimization classification segmentation

Abstract doi.org/10.14569/IJACSA.2017.081263 PDF

64

Survey and Classification of Methods for Building a Semantic Annotation

Author 1: Georges Lebbos Author 2: Abd El Salam Al Hajjar Author 3: Gilles Bernard Author 4: Mohammad Hajjar

Though Arabic is one of the five most spoken languages, little work has been done on building Arabic semantic resources. Currently, there is no agreed-upon method for building such a reliable Arabic semantic resource. The purpose of this paper is to present a comprehensive survey of different methods for building… Read full abstract & cite →

Lexical semantics WordNet Arabic WordNet Arabic corpus synset Arabic semantic resources translation-based methods ontologies

Abstract doi.org/10.14569/IJACSA.2017.081264 PDF

65

SAFFRON: A Semi-Automated Framework for Software Requirements Prioritization

Author 1: Syed Ali Asif Author 2: Zarif Masud Author 3: Rubaida Easmin Author 4: Alim Ul Gias

Due to dynamic nature of current software development methods, changes in requirements are embraced and given proper consideration. However, this triggers the rank reversal problem which involves re-prioritizing requirements based on stakeholders’ feedback. It incurs significant cost because of time elapsed in large number of human interactions. To solve this… Read full abstract & cite →

Requirement prioritization rank reversal problem model-based collaborative filtering

Abstract doi.org/10.14569/IJACSA.2017.081265 PDF

66

An Approach for External Preference Mapping Improvement by Denoising Consumer Rating Data

Author 1: Ibtihel Rebhi Author 2: Dhafer Malouche

In this study, denoising data was advocated in sensory analysis field to remove the existing noise in consumer rating data before processing to External Preference Mapping (EPM). This technique is a data visualization used to understand consumers sensory profiles by relating their preferences towards products to external information about sensory… Read full abstract & cite →

Data denoising Regularized Principal Component Analysis Stein’s Unbiased Risk Estimate sensory analysis external preference mapping stability

Abstract doi.org/10.14569/IJACSA.2017.081266 PDF

67

Web Usability and User Trust on E-commerce Websites in Pakistan

Author 1: Rohail Shehzad Author 2: Zulqurnan Aslam Author 3: Nadeem Ahmad Author 4: Muhammad Waseem Iqbal

Web usability is an integral part of e-commerce. Users are less prone to the websites which are difficult to navigate and slow in response time. E-commerce business is growing aggressively on daily basis, but lack of user trust can impede this growth. Success of online business is largely dependent on… Read full abstract & cite →

Web usability e-commerce user trust Pakistan random regular

Abstract doi.org/10.14569/IJACSA.2017.081267 PDF

68

Performance Evaluation of SIFT and Convolutional Neural Network for Image Retrieval

Author 1: Varsha Devi Sachdeva Author 2: Junaid Baber Author 3: Maheen Bakhtyar Author 4: Ihsan Ullah Author 5: Waheed Noor Author 6: Abdul Basit

Convolutional Neural Network (NN) has gained a lot of attention of the researchers due to its high accuracy in classification and feature learning. In this paper, we evaluated the performance of CNN used as feature for image retrieval with the gold standard feature, aka SIFT. Experiments are conducted on famous… Read full abstract & cite →

Computer vision SIFT CNN image retrieval precision recall

Abstract doi.org/10.14569/IJACSA.2017.081268 PDF

69

MulWiFi: Flexible Policy Enforcement in Multi-Radio High-Speed WiFi Networks

Author 1: Kamran Nishat Author 2: Zartash Afzal Uzmi Author 3: Ihsan Ayyub Qazi

As data rates in 802.11 Wireless LANs (WLANs) scale to Gbps, it becomes increasingly challenging for a single radio resource to meet the goals of high MAC efficiency, service differentiation, and adaptability to diverse network scenarios. We present MulWiFi, a system that uses a cen-tralized controller to manage multiple off-the-shelf… Read full abstract & cite →

WLAN IEEE 802.11 QoS multi-radio experimental analysis testbed

Abstract doi.org/10.14569/IJACSA.2017.081269 PDF