IJACSA Vol. 11 Issue 5 (2020)

1

A Service Scheduling Security Model for a Cloud Environment

Author 1: Abdullah Sheikh Author 2: Malcolm Munro Author 3: David Budgen

Scheduling tasks on a standalone system can be complex but applying it to a cloud environment can be even more complex because of the large amount of resources available. An added complexity in a Cloud environment is that of security. This paper addresses scheduling from a security point of view… Read full abstract & cite →

Scheduling security model cost cloud computing

Abstract doi.org/10.14569/IJACSA.2020.0110501 PDF

2

Robust Speed Control for Networked DC Motor System

Author 1: Sokliep Pheng Author 2: Luo Xiaonan Author 3: Rachana Lav Author 4: Zhongshuai Wang Author 5: Zetao Jiang

In this paper, we used observer-based H∞ output feedback control problems for the communication from the controller to dc motor and considered data packet dropout characterized by the Bernoulli random binary distribution the disturbance. The uncertain parameters have also been considered in the network-based dc motor system. Firstly, we used… Read full abstract & cite →

The Networked DC Motor System Observer Design Robust Speed Control Data Dropout LMI

Abstract doi.org/10.14569/IJACSA.2020.0110502 PDF

3

Forest Fire Detection System using LoRa Technology

Author 1: Nicoleta Cristina GAITAN Author 2: Paula HOJBOTA

Millions of hectares of forest worldwide are affected annually by fires, which can lead to the loss of human lives, materials, destruction of natural flora and fauna but also can lead to the losses of raw materials. The problem is even greater in forests that are not guarded and do… Read full abstract & cite →

LoRa real-time long range wide area network internet of things

Abstract doi.org/10.14569/IJACSA.2020.0110503 PDF

4

Detecting C&C Server in the APT Attack based on Network Traffic using Machine Learning

Author 1: Cho Do Xuan Author 2: Lai Van Duong Author 3: Tisenko Victor Nikolaevich

APT (Advanced Persistent Threat) attack is a form of dangerous attack, it has clear intentions and targets. APT uses a variety of sophisticated, complex methods and technologies to attack on targets to gain confidential, sensitive information. Currently, the problem of detecting APT attacks still faces many challenges. The reason is… Read full abstract & cite →

Advanced Persistent Threat (APT) abnormal behavior network traffic machine learning APT detection Control Server (C&C Server)

Abstract doi.org/10.14569/IJACSA.2020.0110504 PDF

5

An Abnormal Behavior Detection Method using Optical Flow Model and OpenPose

Author 1: Zhu Bin Author 2: Xie Ying Author 3: Luo Guohu Author 4: Chen Lei

Abnormal behavior detection and recognition of pedestrian in escalator has always been a challenging task in intelligent video surveillance system. To cope this problem, a method combining optical flow vector of passenger with human skeleton extraction is proposed. At first, adaptive dual fractional order optical flow model is used to… Read full abstract & cite →

Image sequence analysis abnormal behavior recognition fractional order variational optical flow model random forest

Abstract doi.org/10.14569/IJACSA.2020.0110505 PDF

6

Clash between Segment-level MT Error Analysis and Selected Lexical Similarity Metrics

Author 1: Marija Brkic Bakaric Author 2: Kristina Tonkovic Author 3: Lucia Nacinovic Prskalo

The aim of this paper is to evaluate the quality of popular machine translation engines on three texts of different genre in a scenario in which both source and target languages are morphologically rich. Translations are obtained from Google Translate and Microsoft Bing engines and German-Croatian is selected as the… Read full abstract & cite →

Machine translation evaluation error analysis BLEU CHRF++ MQM

Abstract doi.org/10.14569/IJACSA.2020.0110506 PDF

7

Technologies for Making Reliable Decisions on a Variety of Effective Factors using Fuzzy Logic

Author 1: Yousef Ibrahim Daradkeh Author 2: Irina Tvoroshenko

Problem of choosing methods has been presented for increasing the reliability of solutions while reducing the time resource for researching the state space of a particular object. Effective factors that can significantly affect the attainability of decision-making goals in a fuzzy process development environment are identified. Presented the selected factors… Read full abstract & cite →

Attainability completeness of decision-making conflict factor membership function state space

Abstract doi.org/10.14569/IJACSA.2020.0110507 PDF

8

Adaptive Hybrid Synchronization Primitives: A Reinforcement Learning Approach

Author 1: Fadai Ganjaliyev

The choice of synchronization primitive used to protect shared resources is a critical aspect of application performance and scalability, which has become extremely unpredictable with the rise of multicore machines. Neither of the most commonly used contention management strategies works well for all cases: spinning provides quick lock handoff and… Read full abstract & cite →

Spinning sleeping blocking spin-then-block spin-then-park reinforcement learning

Abstract doi.org/10.14569/IJACSA.2020.0110508 PDF

9

Creating Knowledge Environment during Lean Product Development Process of Jet Engine

Author 1: Zehra C. Araci Author 2: Ahmed Al-Ashaab Author 3: Muhammad Usman Tariq Author 4: Jan H. Braasch Author 5: M. C. Emre Simsekler

Organizations invest intense resources in their product development processes. This paper aims to create a knowledge environment using trade-off curves during the early stages of the set-based concurrent engineering (SBCE) process of an aircraft jet engine for a reduced noise level at takeoff. Data is collected from a range of… Read full abstract & cite →

Knowledge creation and visualization knowledge management new product development lean product development set-based concurrent engineering trade-off curves aircraft engine noise reduction

Abstract doi.org/10.14569/IJACSA.2020.0110509 PDF

10

The Prototype of Thai Blockchain-based Voting System

Author 1: Krittaphas Wisessing Author 2: Phattaradon Ekthammabordee Author 3: Thattapon Surasak Author 4: Scott C.-H. Huang Author 5: Chakkrit Preuksakarn

In this paper, the prototype of Thai voting sys-tem using blockchain technology (B-VoT) has been successfully designed and developed. Hyperledger Fabric was chosen to be a major blockchain infrastructure. The web-application was developed to allow voters to vote. In addition, real-time voting results will be shown on the same website… Read full abstract & cite →

Blockchain internet election hyperledger fabric data integrity voting reliability

Abstract doi.org/10.14569/IJACSA.2020.0110510 PDF

11

Satellite Image Database Search Engine which Allows Fuzzy Expression of Geophysical Parameters of Queries

Author 1: Kohei Arai

Satellite image database search engine which allows fuzzy expression of geophysical parameters of queries is proposed. A search engine based on knowledge based system which allows fuzzy expression of queries is proposed. A prototype system is created and tested. Whereas conventional search systems had to know in advance the functions… Read full abstract & cite →

Search engine fuzzy expression knowledge base system membership function

Abstract doi.org/10.14569/IJACSA.2020.0110511 PDF

12

Difficulties in Teaching Online with Blackboard Learn Effects of the COVID-19 Pandemic in the Western Branch Colleges of Qassim University

Author 1: Fahad Alturise

The global COVID-19 pandemic has compelled educational institutions to shift from face-to-face teaching methods to fully online courses. This was possible with the help of information technology advances, which led to the creation of Blackboard Learn, a Learning Management System (LMS). By transitioning their systems to this newly developed LMS… Read full abstract & cite →

COVID-19 blackboard learn e-learning learning management system pandemic difficulties Qassim University

Abstract doi.org/10.14569/IJACSA.2020.0110512 PDF

13

Using Geographical Information System for Mapping Public Schools Distribution in Jeddah City

Author 1: Abdulkader A. Murad Author 2: Abdulmuakhir I. Dalhat Author 3: Ammar A Naji

Geographical Information System (GIS) remains a unique tool use for school mapping for a clear understanding of the nature, planning, and distribution of educational facilities. The study carried out a GIS analysis for male primary and secondary schools’ distribution in Jeddah city, Saudi Arabia, to show the significance of using… Read full abstract & cite →

GIS school mapping educational facilities geodatabase spatial and network analysis

Abstract doi.org/10.14569/IJACSA.2020.0110513 PDF

14

An Efficient Approach for Storage of Big Data Streams in Distributed Stream Processing Systems

Author 1: Sultan Alshamrani Author 2: Quadri Waseem Author 3: Abdullah Alharbi Author 4: Wael Alosaimi Author 5: Hamza Turabieh Author 6: Hashem Alyami

Besides, centralized managing, processing and querying, the storage is one of the important components of a big data management. There is always a huge requirement of storing immense volumes of heterogeneous data in different formats. In big data steam processing applications, the storage is given a priority and always plays… Read full abstract & cite →

Distributed stream databases storage optimization stream archive storage time expiration

Abstract doi.org/10.14569/IJACSA.2020.0110514 PDF

15

Comparative Analysis of Methodologies for Domain Ontology Development: A Systematic Review

Author 1: Abdul Sattar Author 2: Ely Salwana Mat Surin Author 3: Mohammad Nazir Ahmad Author 4: Mazida Ahmad Author 5: Ahmad Kamil Mahmood

Interlocking Institutional Worlds (IWs) is a concept explaining the need to interoperate between institutions (or players), to solve problems of common interest in a given domain. Managing knowledge in the IWs domain is complex, but promoting knowledge sharing based on standards and common terms agreeable to all players is essential… Read full abstract & cite →

Knowledge management interlocking institutional worlds domain ontology comparison of methodologies ontology development

Abstract doi.org/10.14569/IJACSA.2020.0110515 PDF

16

Performance Analysis of Transient Fault-Injection and Fault-Tolerant System for Digital Circuits on FPGA

Author 1: Sharath Kumar Y N Author 2: Dinesha P

A Fault-Tolerant System is necessary to improve the reliability of digital circuits with the presence of Fault Injection and also improves the system performance with better Fault Coverage. In this work, an efficient Transient Fault-Injection system (FIS) and Fault-Tolerant System (FTS) are designed for digital circuits. The FIS includes Berlekamp… Read full abstract & cite →

Digital circuits transient fault fault injection fault tolerant triple modular redundancy dual modular redundancy majority voter logic self-voter logic

Abstract doi.org/10.14569/IJACSA.2020.0110516 PDF

17

Evaluation of the Diffusion Phenomenon using Information from Twitter

Author 1: Kohei Otake Author 2: Takashi Namatame

Social media services, including social networking services (SNSs) and microblogging services, are gaining prominence. SNSs have a variety of information on products and services, such as product introductions, utilization methods, and reviews. It is important for companies to utilize SNSs to understand the various ways of engaging with them. Against… Read full abstract & cite →

Twitter diffusion phenomenon natural language processing mixture model

Abstract doi.org/10.14569/IJACSA.2020.0110517 PDF

18

Machine Learning and Statistical Modelling for Prediction of Novel COVID-19 Patients Case Study: Jordan

Author 1: Ebaa Fayyoumi Author 2: Sahar Idwan Author 3: Heba AboShindi

As of December 2019, the world’s view on life has been changed due to ongoing COVID-19 pandemic. This requires the use of all kinds of technology to help identify coronavirus patients and control the spread of this disease. In this paper, an online questionnaire was developed as a tool to… Read full abstract & cite →

Novel COVID-19 machine learning logistic regression support vector machine multi-layer perceptron

Abstract doi.org/10.14569/IJACSA.2020.0110518 PDF

19

Analytical Study between Human Urban Planning and Geographic Information Systems: “The Case of the City of Casablanca”

Author 1: Mohamed Rtal Author 2: Mostafa Hanoun

Since the early 1910s, the city of Casablanca has experienced urban and civic expansion so that its population has become a regional center, but this expansion has not been achieved in an organized and equal manner. This has resulted in significant overlap between systematic and structured reconstruction and random reconstruction… Read full abstract & cite →

Casablanca human urban urbanization of information systems urban expansion

Abstract doi.org/10.14569/IJACSA.2020.0110519 PDF

20

Clustering-Based Trajectory Outlier Detection

Author 1: Eman O. Eldawy Author 2: Hoda M.O. Mokhtar

The improvement in mobile computing techniques has generated massive trajectory data, which represent the mobility of moving objects like vehicles, animals, and people. Mining trajectory data and especially outlier detection in trajectory data is an attractive and challenging topic that fascinated many researchers. In this paper, we propose a Clustering-Based… Read full abstract & cite →

Data mining outlier detection trajectory data processing clustering

Abstract doi.org/10.14569/IJACSA.2020.0110520 PDF

21

Measuring the Similarity between the Sanskrit Documents using the Context of the Corpus

Author 1: Jatinderkumar R. Saini Author 2: Prafulla B. Bafna

Identifying the similarity between two documents is a challenging but important task. It benefits various applications like recommender systems, plagiarism detection and so on. To process any text document one of the popularly used approaches is document term matrix (DTM). The proposed approach processes the oldest, untouched, one of the… Read full abstract & cite →

Cosine dimension reduction sanskrit synset matthews correlation coefficient

Abstract doi.org/10.14569/IJACSA.2020.0110521 PDF

22

An Efficient Model for Mining Outlier Opinions

Author 1: Neama Hassan Author 2: Laila A. Abd-Elmegid Author 3: Yehia K. Helmy

In the internet era, opinion mining became a critical technique used in many applications. The internet offers a featured chance for users to express and share their views and experiences anywhere and at any time through various methods as online reviews, personal blogs, Facebook, Twitter and companies’ websites. Such treasure… Read full abstract & cite →

Opinion mining sentiment analysis anomaly detection outliers reviews text analysis natural language processing rapidminer

Abstract doi.org/10.14569/IJACSA.2020.0110522 PDF

23

Coronavirus Social Engineering Attacks: Issues and Recommendations

Author 1: Ahmed Alzahrani

During the current coronavirus pandemic, cybercriminals are exploiting people’s anxieties to steal confidential information, distribute malicious software, perform ransomware attacks and use other social engineering attacks. The number of social engineering attacks is increasing day by day due to people's failure to recognize the attacks. Therefore, there is an urgent… Read full abstract & cite →

Social engineering coronavirus COVID-19 phishing vishing smishing scams working remotely cybersecurity security awareness human security behavior

Abstract doi.org/10.14569/IJACSA.2020.0110523 PDF

24

Hybrid based Energy Efficient Cluster Head Selection using Camel Series Elephant Herding Optimization Algorithm in WSN

Author 1: N. Lavanya Author 2: T. Shankar

The rapid growth in wireless technology is enabling a variety of advances in wireless sensor networks (WSNs). By providing the sensing capabilities and efficient wireless communication, WSNs are becoming important factor in day to day life. WSNs have many commercial, industrial and telecommunication applications. Maximizing network lifespan is a primary… Read full abstract & cite →

Camel algorithm Cluster Head Selection Elephant Herding Optimization meta-heuristic algorithm network lifespan wireless sensor network

Abstract doi.org/10.14569/IJACSA.2020.0110524 PDF

25

Indexed Metrics for Link Prediction in Graph Analytics

Author 1: Marcus Lim Author 2: Azween Abdullah Author 3: NZ Jhanjhi Author 4: Mahadevan Supramaniam

With the explosive growth of the Internet and the desire to harness the value of the information it contains, the prediction of possible links (relationships) between key players in social networks based on graph-theory principles has garnered great attention in recent years. Consequently, many fields of scientific research have converged… Read full abstract & cite →

Link prediction social network analysis criminal network deep reinforcement learning

Abstract doi.org/10.14569/IJACSA.2020.0110525 PDF

26

Radar GPR Application to Explore and Study Archaeological Sites: Case Study

Author 1: Ahmed Faize Author 2: Gamil Alsharahi Author 3: Mohammed Hamdaoui

The issue of exploring and searching for archaeological sites is very important for a greater knowledge of the history of ancient nations and peoples. Recently, Ground Penetrating Radar GPR technology appeared to detect objects buried and study as depth as tens of meters. This work aims to apply this technique… Read full abstract & cite →

Archaeological sites exploring ground penetrating radar processing data

Abstract doi.org/10.14569/IJACSA.2020.0110526 PDF

27

Generalized Approach to Analysis of Multifractal Properties from Short Time Series

Author 1: Lyudmyla Kirichenko Author 2: Abed Saif Ahmed Alghawli Author 3: Tamara Radivilova

The paper considers a generalized approach to the time series multifractal analysis. The focus of research is on the correct estimation of multifractal characteristics from short time series. Based on numerical modeling and estimating, the main disadvantages and advantages of the sample fractal characteristics obtained by three methods: the multifractal… Read full abstract & cite →

Fractal time series multifractal analysis estimation of multifractal characteristics generalized Hurst exponent practical applications of fractal analysis

Abstract doi.org/10.14569/IJACSA.2020.0110527 PDF

28

Play-Centric Designing of a Serious Game Prototype for Low Vision Children

Author 1: Nurul Izzah Othman Author 2: Nor Azan Mat Zin Author 3: Hazura Mohamed

Currently, with the advancement of Information and Communications Technology (ICT), gaming industry becomes one of the fastest growing industries. This trend leads to development of serious games as alternative tool for creating effective learning experience. However, most educational applications such as serious games mainly used visuals such graphics and animations… Read full abstract & cite →

Serious game play-centric design accessibility low vision low fidelity prototype

Abstract doi.org/10.14569/IJACSA.2020.0110528 PDF

29

Principal Component Analysis on Morphological Variability of Critical Success Factors for Enterprise Resource Planning

Author 1: Ayogeboh Epizitone Author 2: Oludayo. O. Olugbara

The concept of critical success factors (CSFs) has been widely used as a measure to tackle the hurdles associated with numerous implementations of enterprise resource planning (ERP) systems. This study evaluates the morphological variability of CSFs using the analytical principal component analysis technique to identify principal components (PCs) that can… Read full abstract & cite →

Enterprise resources morphological variability principal component resource planning success factor

Abstract doi.org/10.14569/IJACSA.2020.0110529 PDF

30

A Comprehensive Science Mapping Analysis of Textual Emotion Mining in Online Social Networks

Author 1: Shivangi Chawla Author 2: Monica Mehrotra

Textual Emotion Mining (TEM) tackles the problem of analyzing the text in terms of the emotions, it expresses or evokes. It focuses on a series of approaches, methods, and tools to help understand human emotions. The understanding would play a pivotal role in developing relevant systems to meet human needs… Read full abstract & cite →

Emotion mining emotion models bibliometric analysis science mapping analysis co-citation analysis network analysis

Abstract doi.org/10.14569/IJACSA.2020.0110530 PDF

31

Prediction of Heart Diseases (PHDs) based on Multi-Classifiers

Author 1: Amirah Al Shammari Author 2: Haneen al Hadeaf Author 3: Hedia Zardi

At present, the number of articles on Heart Disease Detection (HDD) based on classification searched by Google Scholar search engine exceeds 17,000. The medical sector is one of the most important fields that benefit from ML. Heart diseases (HDs) are considered to be the leading cause of death worldwide, as… Read full abstract & cite →

Classification diseases heart-attack multi-classifier heart disease detection

Abstract doi.org/10.14569/IJACSA.2020.0110531 PDF

32

A New Approach to Predicting Learner Performance with Reduced Forgetting

Author 1: Dagou Dangui Augustin Sylvain Legrand KOFFI Author 2: Tchimou N’TAKPE Author 3: Assohoun ADJE Author 4: Souleymane OUMTANAGA

The work on predicting learner performance allows researchers through machine learning methods to participate in the improvement of e-learning. This improvement allows, little by little, e-learning to be promoted and adopted by several educational structures around the world. Neural networks, widely used in various performance prediction works, have made several… Read full abstract & cite →

Performance prediction e-learning artificial neural networks forgetting factor

Abstract doi.org/10.14569/IJACSA.2020.0110532 PDF

33

Genetic Algorithm with Comprehensive Sequential Constructive Crossover for the Travelling Salesman Problem

Author 1: Zakir Hussain Ahmed

The travelling salesman problem (TSP) is a very famous NP-hard problem in operations research as well as in computer science. To solve the problem several genetic algorithms (GAs) are developed which depend primarily on crossover operator. The crossover operators are classified as distance-based crossover operators and blind crossover operators. The… Read full abstract & cite →

Genetic algorithm reverse greedy sequential constructive crossover comprehensive sequential constructive crossover travelling salesman problem NP-hard

Abstract doi.org/10.14569/IJACSA.2020.0110533 PDF

34

A Workflow Scheduling Algorithm for Reducing Data Transfers in Cloud IaaS

Author 1: Jean Edgard GNIMASSOUN Author 2: Tchimou N’TAKPE Author 3: Gokou Hervé Fabrice DIEDIE Author 4: Souleymane OUMTANAGA

The cloud IaaS easily offers to have homogeneous multi-core machines (whether they are "bare metal" machines or virtual machines). On each of these machines, there can be high-performance input-output SSD disks. That allows to distribute the files produced during the execution of the workflow to different machines in order to… Read full abstract & cite →

Workflow scheduling makespan reduction multi-cores virtual machine data-intensive workflows IaaS cloud

Abstract doi.org/10.14569/IJACSA.2020.0110534 PDF

35

Minimization of Spectrum Fragmentation for Improvement of the Quality of Service in Multifiber Elastic Optical Networks

Author 1: Boris Stephane ZOUNEME Author 2: Georges Nogbou ANOH Author 3: Souleymane OUMTANAGA

Internet data traffic is still growing considerably in recent decades. In view of this exponential and dynamic growth, elastic optical networks are emerging as a promising solution for today's flexibly allocated bandwidth transmission technologies. The setup and release of dynamic connections with different spectrum bandwidths and data rates leads over… Read full abstract & cite →

Routing and spectrum allocation fragmentation multifiber elastic network quality of service

Abstract doi.org/10.14569/IJACSA.2020.0110535 PDF

36

The Effect of Firm’s Size on Corporate Performance

Author 1: Meiryani Author 2: Olivia Author 3: Jajat Sudrajat Author 4: Zaidi Mat Daud

The purpose of this study is to determine the effect of capital structure on firm’s financial performance that is conducted on 55 manufacturing sector listed companies in Indonesia Stock Exchange. The data analysis is conducted using R Studio software. Study is used data panel analysis with random effect model. The… Read full abstract & cite →

Firm size financial performance return on assets market to book value

Abstract doi.org/10.14569/IJACSA.2020.0110536 PDF

37

Image Captioning using Deep Learning: A Systematic Literature Review

Author 1: Murk Chohan Author 2: Adil Khan Author 3: Muhammad Saleem Mahar Author 4: Saif Hassan Author 5: Abdul Ghafoor Author 6: Mehmood Khan

Auto Image captioning is defined as the process of generating captions or textual descriptions for images based on the contents of the image. It is a machine learning task that involves both natural language processing (for text generation) and computer vision (for understanding image contents). Auto image captioning is a… Read full abstract & cite →

Image Captioning Deep Learning Neural Network Recurrent Neural Network (RNN) Convolution Neural Network (CNN) Long Short Term Memory (LSTM)

Abstract doi.org/10.14569/IJACSA.2020.0110537 PDF

38

A Trait-based Deep Learning Automated Essay Scoring System with Adaptive Feedback

Author 1: Mohamed A. Hussein Author 2: Hesham A. Hassan Author 3: Mohammad Nassef

Numerous Automated Essay Scoring (AES) systems have been developed over the past years. Recent advances in deep learning have shown that applying neural network approaches to AES systems has accomplished state-of-the-art solutions. Most neural-based AES systems assign an overall score to given essays, even if they depend on analytical rubrics/traits… Read full abstract & cite →

AES system trait evaluation adaptive feedback deep learning neural networks ASAP

Abstract doi.org/10.14569/IJACSA.2020.0110538 PDF

39

Mutual Coexistence in WBANs: Impact of Modulation Schemes of the IEEE 802.15.6 Standard

Author 1: Marwa BOUMAIZ Author 2: Mohammed EL GHAZI Author 3: Mohammed FATTAH Author 4: Anas BOUAYAD Author 5: Moulhime EL BEKKALI

Due to the mobility of subjects carrying wireless Body Area Networks (WBANs), a BAN may be found in an environment that contains other adjacent BANs, which may influence its proper functioning. The purpose of this paper is to study the effect of interference between adjacent BANs on the performance of… Read full abstract & cite →

Body Area Network (BAN) mutual coexistence interference Differential Binary Phase Shift Keying (DBPSK) Differential Quadrature Phase Shift Keying (DQPSK)

Abstract doi.org/10.14569/IJACSA.2020.0110539 PDF

40

Ensemble Machine Learning Model for Higher Learning Scholarship Award Decisions

Author 1: Wirawati Dewi Ahmad Author 2: Azuraliza Abu Bakar

The role of higher learning in Malaysia is to ensure high quality educational ecosystems in developing individual potentials to fulfill the national aspiration. To implement this role with success, scholarship offer is an important part of strategic plan. Since the increasing number of undergraduates’ student every year, the government must… Read full abstract & cite →

Scholarship classification ensemble learning rules-based classification rules-based ensemble

Abstract doi.org/10.14569/IJACSA.2020.0110540 PDF

41

Where is the Highest Rate of Children with Anemia in Peru? An Answer using Grey Systems

Author 1: Alexi Delgado Author 2: Nicolly Perez Ccancce

Anemia, or chronic malnutrition, in children under 5 is a social problem that affects the infant crucially in his or her growth and cognitive development. However, this problem presents itself in different ways in each department of Peru. Thus, in this work, the methodology of grey clustering, which is based… Read full abstract & cite →

Anemia CTWF grey systems grey clustering

Abstract doi.org/10.14569/IJACSA.2020.0110541 PDF

42

Mapping UML Sequence Diagram into the Web Ontology Language OWL

Author 1: Mo’men Elsayed Author 2: Nermeen Elkashef Author 3: Yasser F.Hassan

In this paper, we propose a new mapping technique from the OMG’s UML modeling language into the Web Ontology Language (OWL) to serve the Semantic Web. UML (Unified Modeling Language) is widely accepted and used as a standardized modeling language in Object-Oriented Analysis (OOA) and Design (OOD) approach by domain… Read full abstract & cite →

Mapping Unified Modeling Language UML sequence diagram ontology Web Ontology Language OWL

Abstract doi.org/10.14569/IJACSA.2020.0110542 PDF

43

Intelligent Fleet Management System for Open Pit Mine

Author 1: Hajar BNOUACHIR Author 2: Meryiem CHERGUI Author 3: Nadia MACHKOUR Author 4: Mourad ZEGRARI Author 5: Aziza CHAKIR Author 6: Laurent DESHAYES Author 7: Atae SEMMAR Author 8: Hicham MEDROMI

Fleet management systems are currently used to coordinate mobility and delivery services in a wide range of areas. However, their traditional control architecture becomes a critical bottleneck in open and dynamic environments, where scalability and autonomy are key factors in their success. In this article, we propose an intelligent distributed… Read full abstract & cite →

Fleet management system open pit mine monitoring architectures artificial intelligence real time system

Abstract doi.org/10.14569/IJACSA.2020.0110543 PDF

44

A Human Gait Recognition Against Information Theft in Smartphone using Residual Convolutional Neural Network

Author 1: Gogineni Krishna Chaitanya Author 2: Krovi.Raja Sekhar

The genuine user of the smartphone is identified and information theft is prevented by continuous authentication, which is one of the most emerging features in biometrics application. A person is recognized by analysing the physiological or behavioural attributes is defined as biometrics. The physiological qualities include iris acknowledgment, impression of… Read full abstract & cite →

Authentication biometric analysis genuine user information loss residual convolutional neural network smartphone

Abstract doi.org/10.14569/IJACSA.2020.0110544 PDF

45

The Cuckoo Feature Filtration Method for Intrusion Detection (Cuckoo-ID)

Author 1: Wafa Alsharafat

Intrusion Detection Systems (IDSs) play a crucial role in keeping online systems secure from attacks. However, these systems usually face the challenge of needing to handle and analyze a vast volume of data in order to achieve intrusion detection. Feature filtration is a solution that overcomes this challenge by focusing… Read full abstract & cite →

Cuckoo algorithm feature filtration intrusion detection XCS detection rate

Abstract doi.org/10.14569/IJACSA.2020.0110545 PDF

46

Segmentation of Fuzzy Enhanced Mammogram Mass Images by using K-Mean Clustering and Region Growing

Author 1: Nidhi Singh Author 2: S. Veenadhari

Providing intention to encourage radiologist’s appraisal for distinguishing proof or order of mammogram images, different methods were suggested by specialists since past two decades. By means of this technical paper, we propose segmentation on advanced mammogram imaging with k-means clustering and locale developing systems tending to support specialists or radiologists… Read full abstract & cite →

INT operator feature extraction k-mean clustering mammogram median filter segmentation

Abstract doi.org/10.14569/IJACSA.2020.0110546 PDF

47

IoT Technology for Facilities Management: Understanding End user Perception of the Smart Toilet

Author 1: Venushini Raendran Author 2: R. Kanesaraj Ramasamy Author 3: Intan Soraya Rosdi Author 4: Ruzanna Ab Razak Author 5: Nurazlin Mohd Fauzi

The Internet of Things (IoT) plays an important role as an emerging technology. IoT platforms enable electronic devices to collect, process, and monitor various types of data. The Smart Toilet system featured in this paper is based on IoT technology, and it is designed for resource optimization in facility management… Read full abstract & cite →

IoT system facilities management smart toilet resource optimization user acceptance theory of planned behaviour

Abstract doi.org/10.14569/IJACSA.2020.0110547 PDF

48

New Learning Approach for Unsupervised Neural Networks Model with Application to Agriculture Field

Author 1: Belattar Sara Author 2: Abdoun Otman Author 3: El khatir Haimoudi

An accurate and lower cost hybrid machine learning algorithm based on a combination of Kohonen-Self Organizing Map (SOM) and Gram-Schmidt (GSHM) algorithm was proposed, to enhance the crop yield prediction and to increase the agricultural production. The combination of GSHM and SOM allows to withdraw the most informative components about… Read full abstract & cite →

Kohonen-self organizing map gram-schmidt algorithm principal component analysis agriculture field crop yield prediction

Abstract doi.org/10.14569/IJACSA.2020.0110548 PDF

49

A Secured Large Heterogeneous HPC Cluster System using Massive Parallel Programming Model with Accelerated GPUs

Author 1: Khalid Alsubhi

High Performace Computing (HPC) architectures are expected to develop first ExaFlops computer. This Exascale processing framework will be proficient to register ExaFlops estimation every subsequent that is thousands-overlay increment in current Petascale framework. Current advancements are confronting a few difficulties to move toward such outrageous registering framework. It has been… Read full abstract & cite →

High Performance Computing HPC MPI OpenMP CUDA Supercomputing Systems

Abstract doi.org/10.14569/IJACSA.2020.0110549 PDF

50

Metaheuristic for the Capacitated Multiple Traveling Repairman Problem

Author 1: Khanh-Phuong Nguyen Author 2: Ha-Bang Ban

The Capacitated Multiple Traveling Repairmen Problem (CmTRP) is an extension of the Multiple Traveling Repairmen Problem (mTRP). In the CmTRP, the number of vehicles is dispatched to serve a set of customers, while each vehicle’s capacity is limited by a predefined-value as well as each customer is visited exactly once… Read full abstract & cite →

CmTRP NNS VNS GVNS

Abstract doi.org/10.14569/IJACSA.2020.0110550 PDF

51

An Efficient Methodology for Water Supply Pipeline Risk Index Prediction for Avoiding Accidental Losses

Author 1: Muhammad Shuaib Qureshi Author 2: Ayman Aljarbouh Author 3: Muhammad Fayaz Author 4: Muhammad Bilal Qureshi Author 5: Wali Khan Mashwani Author 6: Junaid Khan

The accidents happening to buildings and other human facilitation sectors due to poor water supply pipelining system is a random phenomenon, but an efficient estimation system can help to escape from such accidents. Such a system can be useful in assisting the caretakers to take the initiative measures to avoid… Read full abstract & cite →

Neural networks normalization risk index mean square error statistical moments

Abstract doi.org/10.14569/IJACSA.2020.0110551 PDF

52

Modeling of Coronavirus Behavior to Predict it’s Spread

Author 1: Shakir Khan Author 2: Amani Alfaifi

With the increasing presence and feast of infectious diseases and their fatalities in densest areas, many academics and societies have become fascinated in discovering new behaviors to predict these diseases' feast behaviors. This media will help them to plan and contain the disease better in trivial provinces and thus decrease… Read full abstract & cite →

COVID-19 coronavirus SIR model data mining R Software forecasting model

Abstract doi.org/10.14569/IJACSA.2020.0110552 PDF

53

Automatic Segmentation of Hindi Speech into Syllable-Like Units

Author 1: Ruchika Kumari Author 2: Amita Dev Author 3: Ashwani Kumar

To develop the high-quality Text-to-Speech (TTS) system, appropriate segmentation of continuous speech into the syllabic units placed an important role. The research work has been implemented for automatic syllable based speech segmentation technique for continuous speech for the Hindi language. The experiments were conducted by using the energy convex hull… Read full abstract & cite →

Database short term energy convex hull speech segmentation syllable

Abstract doi.org/10.14569/IJACSA.2020.0110553 PDF

54

Identification and Assesment of the Specific Absorption Rate (SAR) Generated by the most used Telephone in Peru in 2017

Author 1: Natalia Indira Vargas-Cuentas Author 2: Mark Clemente-Arenas Author 3: Avid Roman-Gonzalez Author 4: Roxana Moran-Morales

According to the World Health Organization (WHO) it is estimated that between 5 and 10% of the population is electro sensitive, the excessive or prolonged exposure to electromagnetic waves can damage health. Currently the electromagnetic radiation generated by wireless mobile telephony involves our daily lives, since it is reported that… Read full abstract & cite →

Electromagnetic radiation SAR ComoSAR GSM

Abstract doi.org/10.14569/IJACSA.2020.0110554 PDF

55

Multi Focus Image Fusion using Image Enhancement Techniques with Wavelet Transformation

Author 1: Sarwar Shah Khan Author 2: Muzammil Khan Author 3: Yasser Alharbi

Multi-focus image fusion produces a unification of multiple images having different areas in focus, which contain necessary and detailed information in the individual image. The paper is proposing a novel idea in a pre-processing step in the image fusion environment in which sharpening techniques applied before fusion in the pre-processing… Read full abstract & cite →

Multi focus image fusion image enhancement unsharp masking Laplacian Filter (LF) Stationary Wavelet Trans-forms (SWT) frequency domain technique

Abstract doi.org/10.14569/IJACSA.2020.0110555 PDF

56

Multiclass Pattern Recognition of Facial Images using Correlation Filters

Author 1: Nisha Chandran S Author 2: Charu Negi Author 3: Poonam Verma

Pattern Recognition comes naturally to humans and there are many pattern recognition tasks which humans can perform admirably well. However, human pattern recognition cannot compete with machine speed when the number of classes to be recognized becomes tremendously large. In this paper, we analyze the effectiveness of correlation filters for… Read full abstract & cite →

Pattern recognition correlation filter multiclass recognition

Abstract doi.org/10.14569/IJACSA.2020.0110556 PDF

57

Analytical Comparison Between the Information Gain and Gini Index using Historical Geographical Data

Author 1: Majid Zaman Author 2: Sameer Kaul Author 3: Muheet Ahmed

The historical geographical data of Kashmir province is spread across two disparate files having attributes of Maximum Temperature, Minimum Temperature, Humidity measured at 12 A.M., Humidity measured at 3 P.M., rainfall besides auxiliary parameters like date, year etc. The parameters Maximum Temperature, Minimum Temperature, Humidity measured at 12 A.M., Humidity… Read full abstract & cite →

Geographical data mining information gain Gini index machine learning decision tree

Abstract doi.org/10.14569/IJACSA.2020.0110557 PDF

58

Disparity of Stereo Images by Self-Adaptive Algorithm

Author 1: Md. Abdul Mannan Mondal Author 2: Mohammad Haider Ali

This paper introduces a new searching method named “Self Adaptive Algorithm (SAA)” for computing stereo correspondence or disparity of stereo image. The key idea of this method relies on the previous search result which increases searching speed by reducing the search zone and by avoiding false matching. According to the… Read full abstract & cite →

Stereo correspondence stereo matching window cost adaptive search disparity sum of absolute differences

Abstract doi.org/10.14569/IJACSA.2020.0110558 PDF

59

Natural Language Processing based Anomalous System Call Sequences Detection with Virtual Memory Introspection

Author 1: Suresh K. Peddoju Author 2: Himanshu Upadhyay Author 3: Jayesh Soni Author 4: Nagarajan Prabakar

Malware has become a significant problem for the security of computers in this scientific era. Nowadays, machine learning techniques are applied to find anomalous activities in computers especially in virtualization environments. Identifying anomalous activities in virtual machines with virtual memory introspector and analyzing data with machine learning techniques are need… Read full abstract & cite →

System call sequence anomaly detection natural language processing memory forensics cosine similarity

Abstract doi.org/10.14569/IJACSA.2020.0110559 PDF

60

Parkinson’s Disease Diagnosis using Spiral Test on Digital Tablets

Author 1: Najd Al-Yousef Author 2: Raghad Al- Saikhan Author 3: Reema Al- Gowaifly Author 4: Reem Al-Abdullatif Author 5: Felwa Al-Mutairi Author 6: Ouiem Bchir

For a proper diagnosis, Parkinson's disease (PD) requires frequent visits to the doctor for physical tests, causing a huge burden on the patient. As PD impairs the handwriting ability, the handwriting pattern can be used as an indicator for PD diagnosis. More specifically, the Static Spiral Test (SST) and the… Read full abstract & cite →

Component Parkinson's disease (PD) computer-aided diagnosis pattern recognition

Abstract doi.org/10.14569/IJACSA.2020.0110560 PDF

61

Still Image-based Human Activity Recognition with Deep Representations and Residual Learning

Author 1: Ahsan Raza Siyal Author 2: Zuhaibuddin Bhutto Author 3: Syed Muhammad Shehram Shah Author 4: Azhar Iqbal Author 5: Faraz Mehmood Author 6: Ayaz Hussain Author 7: Saleem Ahmed

Iterative Recognizing human activity in a scene is still a challenging and an important research area in the field of computer vision due to its various possible implementations on many fields including autonomous driving, bio medical, machine intelligent vision etc. Recently deep learning techniques have emerged and successfully deployed models… Read full abstract & cite →

Human activity recognition action recognition deep learning transfer learning residual learning

Abstract doi.org/10.14569/IJACSA.2020.0110561 PDF

62

Design and Experimental Analysis of Touchless Interactive Mirror using Raspberry Pi

Author 1: Abdullah Memon Author 2: Syed Mudassir Kazmi Author 3: Attiya Baqai Author 4: Fahim Aziz Umrani

A prototype of a smart gesture-controlled mirror with enhanced interactivity is proposed and designed in this paper. With the help of hand gestures, the mirror provides some basic amenities like time, news, weather etc. The designed system uses Pi cam for image acquisition to perform the functions like gesture recognition… Read full abstract & cite →

Smart Mirror Raspberry Pi Pi-camera Application Programing Interface Hue Saturation Value Region of Interest

Abstract doi.org/10.14569/IJACSA.2020.0110562 PDF

63

An Enhanced Distance Vector-Hop Algorithm using New Weighted Location Method for Wireless Sensor Networks

Author 1: Fengrong Han Author 2: Izzeldin Ibrahim Mohamed Abdelaziz Author 3: Xinni Liu Author 4: Kamarul Hawari Ghazali

Location is an indispensable segment for Wireless Sensor Network (WSN), since when events happened, we need to know location. The distance vector-hop (DV-Hop) technique is a popular range-free localization algorithm due to its cost efficiency and non-intricate process. Nevertheless, it suffers from poor accuracy, and it is highly influenced by… Read full abstract & cite →

Wireless Sensor Network (WSN) localization algorithm range-free distance vector-hop (DV-Hop) localization algorithm

Abstract doi.org/10.14569/IJACSA.2020.0110563 PDF

64

Early Forest Fire Detection System using Wireless Sensor Network and Deep Learning

Author 1: Wiame Benzekri Author 2: Ali El Moussati Author 3: Omar Moussaoui Author 4: Mohammed Berrajaa

Due to the global warming, which mechanically increases the risk of starting fires. The number of forest fires is increasing and will increase more and more. To better support the fire soldiers on the ground, we present in this work a system for early detection of forest fires. This system… Read full abstract & cite →

Forest fire detection wireless sensor network deep learning internet of things low power wide area network

Abstract doi.org/10.14569/IJACSA.2020.0110564 PDF

65

A Process Model Collection with Structural Variants and Evaluations

Author 1: Rimsha Anam Author 2: Tahir Muhammad

Today in the era of the latest technologies, Business Process Management Systems (BPMS) have allowed organizations to build process model repositories which help to maintain the flow of operations in the form of various process models. Business process models are virtual models that can imitate the actual activities of an… Read full abstract & cite →

Business process modeling process model collection Process Model Matching (PMM) structural variants

Abstract doi.org/10.14569/IJACSA.2020.0110565 PDF

66

A Gamification Experience and Virtual Reality in Teaching Astronomy in Basic Education

Author 1: Norka Bedregal-Alpaca Author 2: Olha Sharhorodska Author 3: Luis Jiménez-Gonzáles Author 4: Robert Arce-Apaza

Regardless of the country, there is a trend: the world of school and the modern world are two different poles. Young people see school as boring compared to the entertainment of today's technology. Most students prefer to play or surf the internet, but not study. Gamification is projected as a… Read full abstract & cite →

Gamification game-based learning reward system student motivation

Abstract doi.org/10.14569/IJACSA.2020.0110566 PDF

67

Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content

Author 1: Essam Abou el Kassem Author 2: Shereen Ali Hussein Author 3: Alaa Mostafa Abdelrahman Author 4: Fahad Kamal Alsheref

Customer churn is a problem for most companies because it affects the revenues of the company when a customer switch from a service provider company to another in the telecom sector. For solving this problem we put two main approaches: the first one is identifying the main factors that affect… Read full abstract & cite →

Customer churn telecom sector churn prediction sentiment analysis machine learning customer retention

Abstract doi.org/10.14569/IJACSA.2020.0110567 PDF

68

Oscillation Preventing Closed-Loop Controllers via Genetic Algorithm for Biped Walking on Flat and Inclined Surfaces

Author 1: Sabri Yilmaz Author 2: Metin Gokasan Author 3: Seta Bogosyan

In this study, a closed-loop controller is designed to overcome the dynamical insufficiency of the 3D Linear Inverted Pendulum Model (LIPM) via the Genetic Algorithm (GA). The main idea is to still use the 3D LIPM with a closed-loop controller because of its ease at modeling. While suppressing the dynamical… Read full abstract & cite →

Humanoid robot biped walking Model Predictive Control (MPC) Genetic Algorithm (GA) trajectory planning Zero Moment Point (ZMP) linear inverted pendulum

Abstract doi.org/10.14569/IJACSA.2020.0110568 PDF

69

Using Fuzzy c-Means for Weighting Different Fuzzy Cognitive Maps

Author 1: Mamoon Obiedat Author 2: Ali Al-yousef Author 3: Ahmad Khasawneh Author 4: Nabhan Hamadneh Author 5: Ashraf Aljammal

Currently, complex socio-ecological problems have increasingly prevailed with uncertainty that often dominates these domains. In order to better represent these problems, there is an urgent need to engage a wide range of different stakeholders' perspectives, regardless of their levels of expertise and knowledge. Then, these perspectives should be combined in… Read full abstract & cite →

Complex problems uncertainty fuzzy cognitive map (FCM) fuzzy c-Means FCM weight values

Abstract doi.org/10.14569/IJACSA.2020.0110569 PDF

70

Wind Power Integration with Smart Grid and Storage System: Prospects and Limitations

Author 1: Saad Bin Abul Kashem Author 2: Muhammad E. H. Chowdhury Author 3: Amith Khandakar Author 4: Jubaer Ahmed Author 5: Azad Ashraf Author 6: Nushrat Shabrin

Wind power generation is playing a pivotal role in adopting renewable energy sources in many countries. Over the past decades, we have seen steady growth in wind power generation throughout the world. This article aims to summarize the operation, conversion and integration of the wind power with conventional grid and… Read full abstract & cite →

Wind power system wind turbines energy storage system microgrids nation grids

Abstract doi.org/10.14569/IJACSA.2020.0110570 PDF

71

Voice Scrambling Algorithm based on 3D Chaotic Map System (VSA3DCS) to Encrypt Audio Files

Author 1: Osama M. Abu Zaid

Here, a proposed voice scrambling algorithm established on one of two 3D chaotic maps systems (VSA3DCS) will be presented, discussed, and applied on audio signals file. The two 3D chaotic map systems in which any one of them is used to build VSA3DCS are Chen's chaotic map system and Lorenz… Read full abstract & cite →

Lorenz chaotic map Chen's chaotic map Arnold cat map scrambling algorithms audio encryption

Abstract doi.org/10.14569/IJACSA.2020.0110571 PDF

72

Air Quality Monitoring Device for Vehicular Ad Hoc Networks: EnvioDev

Author 1: Josip Balen Author 2: Srdan Ljepic Author 3: Kristijan Lenac Author 4: Sadko Mandzuka

Urban air pollution has become a major concern for numerous densely populated cities globally since poor air quality may cause various health problems. The first crucial step towards solving this important problem is to identify the most critical areas with the highest air pollution over the allowed limit. Nowadays, air… Read full abstract & cite →

Air pollution air quality Arduino sensors SUMO VANET

Abstract doi.org/10.14569/IJACSA.2020.0110572 PDF

73

Urbanization Change Analysis based on SVM and RF Machine Learning Algorithms

Author 1: Farhad Hassan Author 2: Tauqeer Safdar Author 3: Ghulam Irtaza Author 4: Aman Ullah Khan Author 5: Syed Muhammad Husnain Kazmi Author 6: Farah Murtaza

To maintain sustainability in the development, measured the yearly change rate of the land through Land Cover classified maps that hold the data which is surveyed as an influential factor for environment management and urbanization. This paper measured the change rate, which is helpful for the management of the city… Read full abstract & cite →

Random Forest (RF) Support Vector Machine (SVM) GEE classification machine learning classifier multi-temporal change analysis urban change analysis LANDSAT8 Kappa co-efficient

Abstract doi.org/10.14569/IJACSA.2020.0110573 PDF

74

Development of a Recurrent Neural Network Model for English to Yorùbá Machine Translation

Author 1: Adebimpe Esan Author 2: John Oladosu Author 3: Christopher Oyeleye Author 4: Ibrahim Adeyanju Author 5: Olatayo Olaniyan Author 6: Nnamdi Okomba Author 7: Bolaji Omodunbi Author 8: Opeyemi Adanigbo

This research developed a recurrent neural network model for English to Yoruba machine translation. Parallel corpus was obtained from the English and Yoruba bible corpus. The developed model was tested and evaluated using both manual and automatic evaluation techniques. Results from manual evaluation by ten human evaluators show that the… Read full abstract & cite →

Recurrent tokenizer corpus translation evaluation correlation

Abstract doi.org/10.14569/IJACSA.2020.0110574 PDF

75

Thinging-Oriented Modeling of Unmanned Aerial Vehicles

Author 1: Sabah Al-Fedaghi Author 2: Jassim Al-Fadhli

In recent years, there has been a dramatic increase in both practical and research applications of unmanned aerial vehicles (UAVs). According to the literature, there is a need in this area to develop a more refined model of UAV system architecture—in other words, a conceptual model that defines the system’s… Read full abstract & cite →

Unmanned aerial vehicle (UAV) drone conceptual modeling diagrammatic representation system architecture

Abstract doi.org/10.14569/IJACSA.2020.0110575 PDF

76

Deep Learning Model for Identifying the Arabic Language Learners based on Gated Recurrent Unit Network

Author 1: Seifeddine Mechti Author 2: Roobaea Alroobaea Author 3: Moez Krichen Author 4: Saeed Rubaiee Author 5: Anas Ahmed

This paper focuses on identifying the Arabic Lan-guage learners. The main contribution of the proposed method is to use a deep learning model based on the Gated Recurrent Unit Network (GRUN). The proposed model explores a multitude of stylistic features such as the syntax, the lexical and the n-grams ones… Read full abstract & cite →

Arabic Native Language Identification (NLI) deep learning Gated Recurrent Unit Network (GRUN)

Abstract doi.org/10.14569/IJACSA.2020.0110576 PDF

77

Quantifying Feature Importance for Detecting Depression using Random Forest

Author 1: Hatoon AlSagri Author 2: Mourad Ykhlef

Feature selection based on importance is a funda-mental step in machine learning models because it serves as a vital technique to orient the use of variables to what is most efficient and effective for a given machine learning model. In this study, an explainable machine learning model based on Random… Read full abstract & cite →

Machine learning random forest feature selection feature importance depression emotions twitter

Abstract doi.org/10.14569/IJACSA.2020.0110577 PDF

78

Parallel QR Factorization using Givens Rotations in MPI-CUDA for Multi-GPU

Author 1: Miguel Tapia-Romero Author 2: Amilcar Meneses-Viveros Author 3: Erika Hern´andez-Rubio

Modern supercomputers incorporate the use of multi-core processors and graphics processing units. Applications running on these computers take advantage of these technologies with scalable programs that work with multicores and accelerator such as graphics processing unit. QR factorization is essential for several numerical tasks, such as linear equations solvers, compute… Read full abstract & cite →

Givens factorization CUDA heterogeneous pro-gramming scalable parallelism

Abstract doi.org/10.14569/IJACSA.2020.0110578 PDF

79

VIPEye: Architecture and Prototype Implementation of Autonomous Mobility for Visually Impaired People

Author 1: Waqas Nawaz Author 2: Khalid Bashir Author 3: Kifayat Ullah Khan Author 4: Muhammad Anas Author 5: Hafiz Obaid Author 6: Mughees Nadeem

Comfortable movement of a visually impaired per-son in an unknown environment is non-trivial task due to com-plete or partial short-sightedness, absence of relevant information and unavailability of assistance from a non-impaired person. To fulfill the visual needs of an impaired person towards autonomous navigation, we utilize the concepts of graph… Read full abstract & cite →

Safe and Interesting Path (SIP) Visually Impaired People (VIP) autonomous mobility computer vision path guid-ance VIPEye prototype navigation graph mining

Abstract doi.org/10.14569/IJACSA.2020.0110579 PDF

80

A High Performance System for the Diagnosis of Headache via Hybrid Machine Learning Model

Author 1: Ahmad Qawasmeh Author 2: Noor Alhusan Author 3: Feras Hanandeh Author 4: Maram Al-Atiyat

Headache has been a major concern for patients, medical doctors, clinics and hospitals over the years due to several factors. Headache is categorized into two major types:(1) Primary Headache, which can be tension, cluster or migraine, and (2) Secondary Headache where further medical evaluation must be considered. This work presents… Read full abstract & cite →

High performance computing Clinical Decision Support System (CDSS) machine learning primary and secondary headache performance analysis and improvement headache diag-nosis open medical application

Abstract doi.org/10.14569/IJACSA.2020.0110580 PDF

81

Efficient Cache Architecture for Table Lookups in an Internet Router

Author 1: Hayato Yamaki

Table lookup is the most important operation in routers from the aspects of both packet processing throughput and power consumption. To realize the table lookup at high throughput with low energy, Packet Processing Cache (PPC) has been proposed. PPC stores table lookup results into a small SRAM (static random access… Read full abstract & cite →

Router architecture table lookup Packet Process-ing Cache (PPC) Ternary Content Addressable Memory (TCAM)

Abstract doi.org/10.14569/IJACSA.2020.0110581 PDF

82

A Robust Scheme to Improving Security of Data using Graph Theory

Author 1: Khalid Bekkaoui Author 2: Soumia Ziti Author 3: Fouzia Omary

With the incredible growth of using internet and other new telecommunication technologies, cryptography has be-come an absolute necessity for securing communications between two or more entities, particularly in the case of transferring confi-dential data. In the literature, many encryption systems have been proposed against attack threats. These schemes should normally… Read full abstract & cite →

Cryptography encryption security graph theory Hamiltonian circuit adjacency matrix

Abstract doi.org/10.14569/IJACSA.2020.0110582 PDF

83

2D/3D Registration with Rigid Alignment of the Pelvic Bone for Assisting in Total Hip Arthroplasty Preoperative Planning

Author 1: Christian A. Suca Velando Author 2: Eveling G. Castro Gutierrez

In Total Hip Arthroplasty preoperative planning requires the definition of medical parameters that help during the intraoperative process; these parameters must be allocated with accuracy to make an implant to the patient. Currently, preoperative planning carries out with different methods. It can be by using a prosthesis template (2D) projected… Read full abstract & cite →

Digitally Reconstructed Radiograph (DRR) inten-sity registration rigid transformation 3D models Total Hip Arthro-plasty (THA) preoperative planning Computed Tomography (CT)

Abstract doi.org/10.14569/IJACSA.2020.0110583 PDF

84

Evaluating Contact Detection, Size Recognization and Grasping State of an Object using Soft Elastomer Gripper

Author 1: Kazi Abaul Jamil

Object handling process of the sensitive or fragile object is critical to preserve its quality. In this domain, soft robotics has gained a lot of attention. However, limitations of detecting contact and grasping behavior is still a challenging task due to the non-linear behavior of soft gripper. Moreover, to regulate… Read full abstract & cite →

Grasping process contact feedback size recogniza-tion

Abstract doi.org/10.14569/IJACSA.2020.0110584 PDF

85

Ensemble Methods to Detect XSS Attacks

Author 1: PMD Nagarjun Author 2: Shaik Shakeel Ahamad

Machine learning techniques are gaining popularity and giving better results in detecting Web application attacks. Cross-site scripting is an injection attack widespread in web applications. The existing solutions like filter-based, dynamic analysis, and static analysis are not effective in detecting unknown XSS attacks, and machine learning methods can detect unknown… Read full abstract & cite →

Cross-site scripting machine learning ensemble learning random forest bagging boosting

Abstract doi.org/10.14569/IJACSA.2020.0110585 PDF

86

Evaluation of a Model Maximizing the Quality Value of Selected Software Components in a Library

Author 1: Koffi Kouakou Ive Arsene Author 2: Samassi Adama Author 3: Kouamé Appoh

Reusable software components are selected from libraries by developers and integrated into existing software systems to improve their quality. In this article, we evaluate a mathematical model based on an approach of optimization of the selection of the software components according to their quality. This is a linear programming model… Read full abstract & cite →

Software component quality reuse reusable components reusability mathematical model simulation validation maintenance effort

Abstract doi.org/10.14569/IJACSA.2020.0110586 PDF

87

Feature Selection and Performance Improvement of Malware Detection System using Cuckoo Search Optimization and Rough Sets

Author 1: Ravi Kiran Varma P Author 2: PLN Raju Author 3: K V Subba Raju Author 4: Akhila Kalidindi

The proliferation of malware is a severe threat to host and network-based systems. Design and evaluation of efficient malware detection methods is the need of the hour. Windows Portable Executable (PE) files are a primary source of windows based malware. Static malware detection involves an analysis of several PE header… Read full abstract & cite →

Cuckoo search rough sets feature optimization malware analysis malware detection feature reduction clamp dataset

Abstract doi.org/10.14569/IJACSA.2020.0110587 PDF