IJACSA Vol. 11 Issue 4 (2020)

1

A Deep Neural Network Study of the ABIDE Repository on Autism Spectrum Classification

Author 1: Xin Yang Author 2: Paul T. Schrader Author 3: Ning Zhang

The objective of this study is to implement deep neural network (DNN) models to classify autism spectrum disorder (ASD) patients and typically developing (TD) participants. The experimental design utilizes functional connectivity features extracted from resting-state functional magnetic resonance imaging (rs-fMRI) originating in the multisite repository Autism Brain Imaging Data Exchange… Read full abstract & cite →

DNN ASD rs-fMRI ABIDE CPAC

Abstract doi.org/10.14569/IJACSA.2020.0110401 PDF

2

Issues and Challenges: Cloud Computing e-Government in Developing Countries

Author 1: Naif Al Mudawi Author 2: Natalia Beloff Author 3: Martin White

Cloud computing has become essential for IT resources that can be delivered as a service over the Internet. Many e-government services that are used worldwide provide communities with relatively complex applications and services. Governments are still facing many challenges in their implementation of e-government services in general, including Saudi Arabia… Read full abstract & cite →

Challenges issue privacy security social e-governance services citizen

Abstract doi.org/10.14569/IJACSA.2020.0110402 PDF

3

Conceptual Framework for Finding Approximations to Minimum Weight Triangulation and Traveling Salesman Problem of Planar Point Sets

Author 1: Marko Dodig Author 2: Milton Smith

We introduce a novel Conceptual Framework for finding approximations to both Minimum Weight Triangulation (MWT) and optimal Traveling Salesman Problem (TSP) of planar point sets. MWT is a classical problem of Computational Geometry with various applications, whereas TSP is perhaps the most researched problem in Combinatorial Optimization. We provide motivation… Read full abstract & cite →

Computational geometry minimum weight triangu-lation combinatorial optimization traveling salesman problem

Abstract doi.org/10.14569/IJACSA.2020.0110403 PDF

4

Content Delivery Networks in Cross-border e-Commerce

Author 1: Artur Strzelecki

Cross-border e-commerce has been growing in recent years. Purchasing goods from abroad is getting easier due to global deliveries, well-known payment methods and decreasing language barriers. Content Delivery Network (CDN) is a technical solution. Deploying CDN for cross-border e-commerce can improve performance and consumer experience. In this paper, four sets… Read full abstract & cite →

e-Commerce cross-border e-commerce content delivery networks DNS lookup time time to first byte

Abstract doi.org/10.14569/IJACSA.2020.0110404 PDF

5

P System Framework for Ant Colony Algorithm in IoT Data Routing

Author 1: Aurimas Gedminas Author 2: Liudas Duoba Author 3: Dalius Navakauskas

The Internet of Things (IoT) is a critical part of current information technology. When designing IoT data routes, device limited resources such as the computation speed, available amount of memory, remaining battery power or channel bandwidth, to name a few, must be considered. Since the Ant Colony System (ACS) is… Read full abstract & cite →

Membrane computing P system Ant Colony System Internet of Things energy consumption load balancing

Abstract doi.org/10.14569/IJACSA.2020.0110405 PDF

6

A New Framework of Moving Object Tracking based on Object Detection-Tracking with Removal of Moving Features

Author 1: Ly Quoc Ngoc Author 2: Nguyen Thanh Tin Author 3: Le Bao Tuan

Object Tracking (OT) on a Moving Camera so-called Moving Object Tracking (MOT) is extremely vital in Computer Vision. While other conventional tracking methods based on fixed camera can only track the objects in its range, a moving camera can tackle this issue by following the objects. Moreover, single tracker is… Read full abstract & cite →

Moving object tracking object detection camera localization 3D environment reconstruction tracking by detection

Abstract doi.org/10.14569/IJACSA.2020.0110406 PDF

7

Variation of Aerosol Pollution in Peru during the Quarantine Due to COVID-19

Author 1: Avid Roman-Gonzalez Author 2: Natalia I. Vargas-Cuentas

Due to COVID-19, which is a type of pneumonia produced by a coronavirus family virus, the Peruvian government has decreed mandatory social isolation. This isolation is extended until 26 April 2020. Due to this situation, people must stay at home and only go out to make purchases to cover basic… Read full abstract & cite →

COVID-19 coronavirus pollution Sentinel-5P Peru

Abstract doi.org/10.14569/IJACSA.2020.0110407 PDF

8

Augmented Reality Application for Hand Motor Skills Rehabilitation

Author 1: Alexandr Kolsanov Author 2: Sergey Chaplygin Author 3: Sergey Rovnov Author 4: Anton Ivaschenko

The paper presents an augmented reality based solution for hand movement rehabilitation using visual and tactile feedback. The proposed approach to the rehabilitation process combines the effects on visual, auditory and tactile channels of perception and simulation scenarios. In order to develop a hand movement model capable of solving rehabilitation… Read full abstract & cite →

3D modeling augmented reality virtual reality simulation hand motor skills rehabilitation

Abstract doi.org/10.14569/IJACSA.2020.0110408 PDF

9

Textile EEG Cap using Dry-Comb Electrodes for Emotion Detection of Elderly People

Author 1: Fangmeng ZENG Author 2: Panote Siriaraya Author 3: Dongeun Choi Author 4: Noriaki Kuwahara

Emotions are fundamental to human life and can impact elderly healthcare encounters between caregiver and patient. Detecting emotions by monitoring the physical signals with wearable smart devices offers new promises for care support. While there are multiple studies on wearable devices, few of these pertain to soft electroencephalogram (EEG) caps… Read full abstract & cite →

EEG monitoring elderly people emotion detection textile EEG cap wearing-comfort

Abstract doi.org/10.14569/IJACSA.2020.0110409 PDF

10

Arduino based Smart Home Automation System

Author 1: Daniel Chioran Author 2: Honoriu Valean

Around the World massive quantities of energy are consumed in residential buildings leading to a negative impact on the environment. Also, the number of wireless connected devices in use around the World is constantly and rapidly increasing, leading to potential health risks due to over exposer to electromagnetic radiation. An… Read full abstract & cite →

Energy consumption home automation serial communication microcontrollers

Abstract doi.org/10.14569/IJACSA.2020.0110410 PDF

11

Application of Dual Artificial Neural Networks for Emergency Load Shedding Control

Author 1: Nghia. T. Le Author 2: Anh. Huy. Quyen Author 3: Au. N. Nguyen Author 4: Binh. T. T. Phan Author 5: An. T. Nguyen Author 6: Tan. T. Phung

This paper proposes a new model in emergency control of load shedding based on the combination of dual Artificial Neural Network to implement the load shedding, restore the power system frequency and prevent the power system blackout. The first Artificial Neural Network (ANN1) quickly recognizes the state with or without… Read full abstract & cite →

Load shedding Artificial Neural Network AHP algorithm emergency control frequency stability

Abstract doi.org/10.14569/IJACSA.2020.0110411 PDF

12

A Robust Pneumonia Classification Approach based on Self-Paced Learning

Author 1: Sarpong Kwadwo Asare Author 2: Fei You Author 3: Obed Tettey Nartey

This study proposes a self-paced learning scheme that integrates self-training and deep learning to select and learn labeled and unlabeled data samples for classifying anterior-posterior chest images as either being pneumonia-infected or normal. With this new approach, a model is first trained with labeled data. The model is evaluated on… Read full abstract & cite →

Anterior-posterior chest images self-paced learn-ing self-training pneumonia classification

Abstract doi.org/10.14569/IJACSA.2020.0110412 PDF

13

Predicting the Optimal Date and Time to Send Personalized Marketing Messages to Repeat Buyers

Author 1: Alexandros Deligiannis Author 2: Charalampos Argyriou Author 3: Dimitrios Kourtesis

Most of today’s digital marketing campaigns which are sent through email and mobile messaging are bulk campaigns which deliver the same message at the same time to all customers, regardless of their needs and preferences. The outcomes are bad customer experience, low engagement and low conversion rates. Modern marketing automation… Read full abstract & cite →

Personalized marketing automation customer re-lationship management conversion rate optimization customer engagement machine learning XGBoost regression cloud com-puting data privacy

Abstract doi.org/10.14569/IJACSA.2020.0110413 PDF

14

The Effects of Various Modes of Online Learning on Learning Results

Author 1: Muhammad Rusli

The demand for online learning particularly in a college is necessity to be developed and implemented as an alternative method of delivery learning materials in this millennial era. Nowadays, the developments are strongly supported by the advancement of Information Technology and Communication (ICT) and Multimedia Technology. Nevertheless, during the development… Read full abstract & cite →

Online learning web learning blended learning face to face learning interactive multimedia learning learning results

Abstract doi.org/10.14569/IJACSA.2020.0110414 PDF

15

Transformation of SysML Requirement Diagram into OWL Ontologies

Author 1: Helna Wardhana Author 2: Ahmad Ashari Author 3: Anny Kartika Sari

The Requirement Diagrams are used by the System Modeling Language (SysML) to depict and model non-functional requirements, such as response time, size, or system functionality, which cannot be accommodated in the Unified Modeling Language (UML). Nevertheless, SysML still lacks the capability to represent the semantic contexts within the design. Web… Read full abstract & cite →

SysML Diagram Requirement Diagram ontology OWL transformation

Abstract doi.org/10.14569/IJACSA.2020.0110415 PDF

16

Clustering Social Networks using Nature-inspired BAT Algorithm

Author 1: Seema Rani Author 2: Monica Mehrotra

The widespread extent of internet availability at low cost impels user activities on social media. As a result, a huge number of networks with a lot of varieties are easily accessible. Community detection is one of the significant tasks to understand the behavior and functionality of such real-world networks. Mathematically… Read full abstract & cite →

Community detection nature inspired optimization bat algorithm discrete particle swarm optimization social network

Abstract doi.org/10.14569/IJACSA.2020.0110416 PDF

17

Power Allocation Evaluation for Downlink Non-Orthogonal Multiple Access (NOMA)

Author 1: Wajd Fahad Alghasmari Author 2: Laila Nassef

Fifth-generation of wireless cellular systems has the potential to increase capacity, spectral efficiency, and fairness among users. The Non-Orthogonal Multiple Access based wireless networks (NOMA) is the next generation multiplexing technique. NOMA breaks the orthogonality of traditional multiple access to allow multiple users to share the same radio resource simultaneously… Read full abstract & cite →

Non-Orthogonal Multiple Access NOMA Power Allocation User Pairing Spectral Efficiency Sum Rate

Abstract doi.org/10.14569/IJACSA.2020.0110417 PDF

18

Local Neighborhood-based Outlier Detection of High Dimensional Data using different Proximity Functions

Author 1: Mujeeb Ur Rehman Author 2: Dost Muhammad Khan

In recent times, dimension size has posed more challenges as compared to data size. The serious concern of high dimensional data is the curse of dimensionality and has ultimately caught the attention of data miners. Anomaly detection based on local neighborhood like local outlier factor has been admitted as state… Read full abstract & cite →

High dimensional data density-based anomaly detection local outlier outlier detection

Abstract doi.org/10.14569/IJACSA.2020.0110418 PDF

19

Marathi Document: Similarity Measurement using Semantics-based Dimension Reduction Technique

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

Textual data is increasing exponentially and to extract the required information from the text, different techniques are being researched. Some of these techniques require the data to be presented in the tabular or matrix format. The proposed approach designs the Document Term Matrix for Marathi (DTMM) corpus and converts unstructured… Read full abstract & cite →

Cosine similarity marathi synset term matrix wordnet

Abstract doi.org/10.14569/IJACSA.2020.0110419 PDF

20

Study on Extended Scratch-Build Concept Map to Enhance Students’ Understanding and Promote Quality of Knowledge Structure

Author 1: Didik Dwi Prasetya Author 2: Tsukasa Hirashima Author 3: Yusuke Hayashi

Many studies reported that an open-ended concept map technique is a standard for reflecting learners' knowledge structure. However, little information has been provided that expands open-ended concept mapping to improve students' learning outcomes and meaningful learning. This study aimed to investigate the effects of Extended Scratch-Build (ESB) concept mapping on… Read full abstract & cite →

Concept map open-ended extended knowledge structure

Abstract doi.org/10.14569/IJACSA.2020.0110420 PDF

21

The Neural Network Conversation Model enables the Commonly Asked Student Query Agents

Author 1: Nittaya Muangnak Author 2: Natakorn Thasnas Author 3: Thapani Hengsanunkul Author 4: Jakkarin Yotapakdee

One of the challenges in academic counselling is to provide an automated service system for students. There several query questions asking the faculty staffs about related-academic services each semester. Offered the communication interface more convenience, the novel approach based on neural network model is introduced to investigate the automated conversational… Read full abstract & cite →

Automated conversational agent chatbot natural language processing FAQs’ bot artificial neural network artificial intelligence machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110421 PDF

22

Mobile Health Services in Saudi Arabia-Challenges and Opportunities

Author 1: Amr Jadi

In this work, the mobile health services (MHS) approach has been introduced to encourage locals with different educational backgrounds. This work intends to minimize personal interaction hours between patients and doctors in a real-time healthcare environment. The increasing number of pilgrims to Saudi Arabia (SA) demands such an arrangement for… Read full abstract & cite →

m-Health IoT Saudi Hospitals challenges

Abstract doi.org/10.14569/IJACSA.2020.0110422 PDF

23

Empirical Investigation on the Impact of Public Expenditures on Inclusive Economic Growth in Morocco: Application of the Autoregressive Distributed Lag Approach

Author 1: Imad KHANCHAOUI Author 2: Abdeslam EL MOUDDEN Author 3: Sara El Aboudi

Today more than ever, the international institutions (the IMF, the World Bank, the OECD and the UN) as well as the public authorities are interested in questions related to the development issue in general, and more particularly to inclusive growth. The reason is that in most developing countries, such as… Read full abstract & cite →

Inclusive economic growth public expenditures human capital development expenditures public investment expenditures cointegration ARDL model

Abstract doi.org/10.14569/IJACSA.2020.0110423 PDF

24

Deep Neural Networks Combined with STN for Multi-Oriented Text Detection and Recognition

Author 1: Saif Hassan Katper Author 2: Abdul Rehman Gilal Author 3: Abdullah Alshanqiti Author 4: Ahmad Waqas Author 5: Aeshah Alsughayyir Author 6: Jafreezal Jaafar

Developing systems for interpreting visuals, such as images, videos is really challenging but important task to be developed and applied on benchmark datasets. This study solves the very challenge by using STN-OCR model consisting of deep neural networks (DNN) and Spatial Transformer Networks (STNs). The network architecture of this study… Read full abstract & cite →

Spatial Transformer Networks (STNs) Deep Neural Networks (DNN) ICDAR dataset multi-oriented text STN-OCR

Abstract doi.org/10.14569/IJACSA.2020.0110424 PDF

25

Predict Students’ Academic Performance based on their Assessment Grades and Online Activity Data

Author 1: Amal Alhassan Author 2: Bassam Zafar Author 3: Ahmed Mueen

The ability to predict students’ academic performance is critical for any educational institution that aims to improve their students' learning process and achievement. Although students’ performance prediction problem is studied widely, it still represents a challenge and complex issue for educational institutions due to the different features that affect students… Read full abstract & cite →

Predict student performance learning management system data mining educational data mining classification model

Abstract doi.org/10.14569/IJACSA.2020.0110425 PDF

26

Regression Model and Neural Network Applied to the Public Spending Execution

Author 1: José Morales Author 2: José Huanca

Artificial Neural Networks are connectionist systems formed by numerous process units called neurons connected to each other, which adapt their structure through learning techniques to solve problems of function approximation and pattern classification. They process information that is supplied to them, either to obtain relationships between them and the objective… Read full abstract & cite →

Regression neural network multilayer perceptron institutional budget public spending

Abstract doi.org/10.14569/IJACSA.2020.0110426 PDF

27

Arrhythmia Classification using 2D Convolutional Neural Network

Author 1: Robby Rohmantri Author 2: Nico Surantha

Arrhythmia is an abnormal situation of heartbeat rate that may cause a critical condition to our body and this condition gets more dangerous as our cardiovascular system gets more vulnerable as we grow older. To diagnose this abnormality, the arrhythmia expert or cardiologist uses an electrocardiogram (ECG) by analyzing the… Read full abstract & cite →

Convolutional neural network CNN CNN 2D image classifier electrocardiogram ECG arrhythmia

Abstract doi.org/10.14569/IJACSA.2020.0110427 PDF

28

Analysis of an eHealth app: Privacy, Security and Usability

Author 1: Ryan Alturki Author 2: Valerie Gay Author 3: Nabeela Awan Author 4: Mohammad Alshehri Author 5: Mohammed J. AlGhamdi Author 6: Mehwish Kundi

Obesity and overweight are considered a health threat globally. Saudi Arabia is a country that has a high percentage of people suffering from obesity. These people can be helped to lose weight through the usage of mobile apps as these apps can collect users’ personal information. These collected data is… Read full abstract & cite →

Obesity usability data security privacy app

Abstract doi.org/10.14569/IJACSA.2020.0110428 PDF

29

Empirical Study on Intelligent Android Malware Detection based on Supervised Machine Learning

Author 1: Talal A.A Abdullah Author 2: Waleed Ali Author 3: Rawad Abdulghafor

The increasing number of mobile devices using the Android operating system in the market makes these devices the first target for malicious applications. In recent years, several Android malware applications were developed to perform certain illegitimate activities and harmful actions on mobile devices. In response, specific tools and anti-virus programs… Read full abstract & cite →

Android malware applications machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110429 PDF

30

Near Duplicate Image Retrieval using Multilevel Local and Global Convolutional Neural Network Features

Author 1: Tejas Mehta Author 2: C. K. Bhensdadia

In this work, we present an approach based on multilevel local as well as global Convolutional Neural Network (CNN) feature matching to retrieve near duplicate images. CNN features are suitable for visual matching. The CNN features of entire image may not give accuracy in retrieval due to various image editing/capturing… Read full abstract & cite →

Near duplicate image retrieval local CNN features global CNN features

Abstract doi.org/10.14569/IJACSA.2020.0110430 PDF

31

Using Combined List Hierarchy and Headings of HTML Documents for Learning Domain-Specific Ontology

Author 1: Muhammad Ahsan Raza Author 2: Binish Raza Author 3: Taiba Jabeen Author 4: Sehrish Raza Author 5: Munnawar Abbas

HTML pages contain unstructured and diverse information. However, these documents lack semantics and are not machine understandable. Semantic webs aim to add formal semantics to web data, whereas ontology provides formal semantics to a domain and is thus considered a foundation of semantic webs. Domain ontologies can be constructed manually… Read full abstract & cite →

Ontology learning semantic web sports ontology HTML documents knowledge extraction ontology engineering

Abstract doi.org/10.14569/IJACSA.2020.0110431 PDF

32

Sentiment Analysis for Assessment of Hotel Services Review using Feature Selection Approach based-on Decision Tree

Author 1: Dyah Apriliani Author 2: Taufiq Abidin Author 3: Edhy Sutanta Author 4: Amir Hamzah Author 5: Oman Somantri

To get the best hotel accommodation equipped with great services is all what a tourist want. Hotel reviews found in social media sometimes become a reference to book a hotel room. The problem is there is sometimes inaccuracy in understanding the reviewer’s sentiment; therefore sentiment analysis approach is used in… Read full abstract & cite →

Sentiment analysis feature selection decision tree support vector machines Naïve Bayes hotel services

Abstract doi.org/10.14569/IJACSA.2020.0110432 PDF

33

Using Concordance to Decode the Ideological Weight of Lexis in Learning Narrative Literature: A Computational Approach

Author 1: Ayman F. Khafaga Author 2: Iman El-Nabawi Abdel Wahed Shaalan

In learning narrative literature, students find difficulty in comprehending and approaching the ideological messages beyond the usage of recurrent lexical items in literary narrative texts. This problem comes as a result of the huge number of lexical items literary texts, particularly the narrative, abound in. The use of the computer… Read full abstract & cite →

Concordance computational linguistics learning ideology narrative literature lexical items

Abstract doi.org/10.14569/IJACSA.2020.0110433 PDF

34

A Multiple Linear Regressions Model for Crop Prediction with Adam Optimizer and Neural Network Mlraonn

Author 1: M. Lavanya Author 2: R. Parameswari

Due to the increase in population, demand for the food is increasing day by day. Crop prediction is necessary or need of the hour to fill the gap between the demand and the supply. Instead of following a traditional system for crop selection method, a successful crop selection for the… Read full abstract & cite →

Multiple Linear Regression Adam Optimization Neural Network Keras Machine learning algorithm Root Mean Square Error (RMSE) Mean Square Error (MSE) Mean Absolute Error (MAE) presence of Hydrogen (pH) Electrical Conductivity (EC) Organic Matter (OM)

Abstract doi.org/10.14569/IJACSA.2020.0110434 PDF

35

Privacy, Security and Usability for IoT-enabled Weight Loss Apps

Author 1: Ryan Alturki Author 2: Valerie Gay Author 3: Nabeela Awan Author 4: Mohammad Alshehri Author 5: Mohammed J. AlGhamdi Author 6: Ateeq ur Rehman

Obesity is considered as the main health issue worldwide. The obesity rate within Saudi’s citizens is rising alarmingly. The Internet of Things (IoT)-enabled mobile apps can assist obese Saudi users in losing weight via collecting sensitive personal information and then providing accurate and personalized weight loss advice. These data can… Read full abstract & cite →

Internet of things obesity usability data security privacy app

Abstract doi.org/10.14569/IJACSA.2020.0110435 PDF

36

Understanding Proximity Mobile Payment Acceptance among Saudi Individuals: An Exploratory Study

Author 1: Rana Alabdan Author 2: Sulphey MM

The electronic method of payments such as cash, debit, or credit as the new method of mobile payment, which is a paradigm shift in the pattern payment. Mobile payment is increasingly an essential electronic service in the banking sector, which also plays a competitive advantage among banks. Although mobile payment… Read full abstract & cite →

Awareness mobile payment Saudi quantitative study e-payment banking ease of use

Abstract doi.org/10.14569/IJACSA.2020.0110436 PDF

37

Modeling and Analyses the Equivalent-Schema Models for OSRR and COSRR Coupled to Planar Transmission Lines by Scattering Bond Graph

Author 1: Islem Salem Author 2: Hichem Taghouti Author 3: Abdelkader Mami

Following consumer demand, international competition has become increasingly high, suddenly industrialists are mobilizing to meet the requirements. Faced with this challenge, and in order to be able to respond to these prerequisites, manufacturers are looking for techniques that will allow them to gain productivity by increasing the rate of perfection… Read full abstract & cite →

Scattering Bond Graph (SBG) metamaterials wave matrix [W] matrix scattering [S] transmission line OSRR and OCSRR

Abstract doi.org/10.14569/IJACSA.2020.0110437 PDF

38

An Efficient and Rapid Method for Detection of Mutations in Deoxyribonucleic Acid - Sequences

Author 1: Wajih Rhalem Author 2: Jamal El Mhamdi Author 3: Mourad Raji Author 4: Ahmed Hammouch Author 5: Aqili Nabil Author 6: Nassim Kharmoum Author 7: Hassan Ghazal

The comparison of genomic sequences plays a key role in determining the structural and functional relationships between genes. This comparison is carried out by identifying the similarities, differences and mutations between genomic sequences. This makes it possible to study and analyze the genetic and the evolutionary relationships between organisms. Alignment… Read full abstract & cite →

Alignment algorithms genomic sequences dynamic polynomial interpolation mutations

Abstract doi.org/10.14569/IJACSA.2020.0110438 PDF

39

The Impact of Translation Software on Improving the Performance of Translation Majors

Author 1: Abdulfattah Omar Author 2: Ayman F. Khafaga Author 3: Iman El-Nabawi Abdel Wahed Shaalan

The recent years have witnessed a high demand for professional translation services due to the global nature of world economy, accessibility to data in different languages, and the development of unprecedented communication channels. Translators can no longer meet these growing needs of customers and businesses. As such, different translation technologies… Read full abstract & cite →

CAT Saudi Universities SDL Trados Studios translation pedagogy translation technologies

Abstract doi.org/10.14569/IJACSA.2020.0110439 PDF

40

Fuzzy Logic based Anti-Slip Control of Commuter Train with FPGA Implementation

Author 1: Fozia Hajano Author 2: Tayab D Memon Author 3: Farzana Rauf Abro Author 4: Imtiaz Hussain Kalwar Author 5: Burhan

In the railway industry, slip control has always been essential due to the low friction and low adhesion between the wheels and the rail and has been an issue for the design, activity, and operation of railroad vehicles. Slip is an unpredictable parameter in the railroad that disintegrates the surface… Read full abstract & cite →

Wheel rail contact condition anti-slip railway wheelset fuzzy logic FPGA hardware estimation

Abstract doi.org/10.14569/IJACSA.2020.0110440 PDF

41

A Z Specification for Reliability Requirements of a Service-based System

Author 1: Manoj Lall Author 2: John A. Van Der Poll

The utilization of a Web services based application depends not only on meeting its functional requirements but also its non-functional requirements. The nonfunctional requirements express the quality of service (QoS) expected from a system. The QoS describes the capability of the service to meet the requirements of its consumers. In… Read full abstract & cite →

Reliability non-functional requirements Web services Quality of Service Formal specification UML modelling Z

Abstract doi.org/10.14569/IJACSA.2020.0110441 PDF

42

CASC 3N vs. 4N: Effect of Increasing Cellular Automata Neighborhood Size on Cryptographic Strength

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

Stream ciphers are symmetric cryptosystems that rely on pseudorandom number generators (PRNGs) as a primary building block to generate a keystream. Stream ciphers have been extensively studied and many designs were proposed throughout the years. One of the popular designs used is the combination of linear feedback shift registers (LFSRs)… Read full abstract & cite →

Stream ciphers cellular automata neighborhood size dieharder NIST STS cryptographic properties attacks on stream ciphers

Abstract doi.org/10.14569/IJACSA.2020.0110442 PDF

43

Air Quality Prediction (PM2.5 and PM10) at the Upper Hunter Town - Muswellbrook using the Long-Short-Term Memory Method

Author 1: Alexi Delgado Author 2: Ramiro Ricardo Maque Acuña Author 3: Chiara Carbajal

Air quality is crucial for the environment and the life quality of citizens. Therefore, in the present study a software application is developed to predict air quality on the basis of 2.5 particulate matter (〖PM〗_(2.5)) and 10particulate matter (〖PM〗_10), in the city of Upper Hunter, Australia, as it is considered… Read full abstract & cite →

Air quality long-short term memory (LSTM) 2.5 particulate matter (PM₂․₅) 10 Particulate matter (PM₁₀)

Abstract doi.org/10.14569/IJACSA.2020.0110443 PDF

44

Fermat Factorization using a Multi-Core System

Author 1: Hazem M. Bahig Author 2: Hatem M. Bahig Author 3: Yasser Kotb

Factoring a composite odd integer into its prime factors is one of the security problems for some public-key cryptosystems such as the Rivest-Shamir-Adleman cryptosystem. Many strategies have been proposed to solve factorization problem in a fast running time. However, the main drawback of the algorithms used in such strategies is… Read full abstract & cite →

Integer factorization fermat factorization parallel algorithm multi-core

Abstract doi.org/10.14569/IJACSA.2020.0110444 PDF

45

Design of Cooperative Activities in Teaching-Learning University Subjects: Elaboration of a Proposal

Author 1: Norka Bedregal-Alpaca Author 2: Arasay Padron-Alvarez Author 3: Elisa Castañeda-Huaman Author 4: Víctor Cornejo-Aparicio

University professors face the challenge of incorporating activities that promote student engagement, discussion, conflict resolution, and teamwork. In this context, cooperative learning emerges as the pedagogical model that fosters teamwork; organizes students into groups where joint and coordinated work reinforces individual and collective learning. The proposal presented facilitates the design… Read full abstract & cite →

Cooperative learning competency focus cooperative techniques evaluation

Abstract doi.org/10.14569/IJACSA.2020.0110445 PDF

46

Using Fuzzy-Logic in Decision Support System based on Personal Ratings

Author 1: Hmood Al-Dossari Author 2: Sultan Alyahya

The decision making process of selecting a service is very complex. Current recommendation systems make a generic recommendation to users regardless of their personal standards. This can result in a misleading recommendation because different users normally have different standards in evaluating services. Some of them might be harsh in their… Read full abstract & cite →

Service recommendation standard detection user ratings predication fuzzy logic decision support

Abstract doi.org/10.14569/IJACSA.2020.0110446 PDF

47

A Novel Framework for Enhancing QoS of Big Data

Author 1: Dar Masroof Amin Author 2: Munishwar Rai

The dire increase in number of devices connected to the internet is making inherent growth in creation of data. The use of data science in research is creating opportunities for better business analytics and generation of future trends. The data is growing with ever increasing rate and the exponential growth… Read full abstract & cite →

IoT (internet of things) big data DSDSS (Domain Specific Data Distribution Algorithm) AI (Artificial Intelligence) ML (Machine Learning)

Abstract doi.org/10.14569/IJACSA.2020.0110447 PDF

48

Retinal Blood Vessel Extraction using Wavelet Decomposition

Author 1: Diana Tri Susetianingtias Author 2: Sarifuddin Madenda Author 3: Fitrianingsih Author 4: Dea Adlina Author 5: Rodiah Author 6: Rini Arianty

One important part of the eye that is critical for processing visual information before it is sent through the optic nerve to the visual cortex is the retina. The retina of each individual has its own uniqueness that can be used as a characteristic feature in identifying, verifying, and authenticating… Read full abstract & cite →

Blood vessels extraction fundus retina identification wavelet

Abstract doi.org/10.14569/IJACSA.2020.0110448 PDF

49

Resource Optimisation using Multithreading in Support Vector Machine

Author 1: Wong Soon Fook Author 2: Abdul Hadi Abd Rahman Author 3: Nor Samsiah Sani Author 4: Afzan Adam

Image processing is one of the most important features for vision-based robotic and being used in various applications to increase productivity. Various researchers reported issues computation problem to detect objects in low cost device such as vision-based robotic car. In the fast-paced development of technology, a system that runs automatically… Read full abstract & cite →

Robot vision recognition multithreading real-time

Abstract doi.org/10.14569/IJACSA.2020.0110449 PDF

50

FLA-IoT: Virtualization Enabled Architecture for Heterogeneous Systems in Internet of Things

Author 1: Irfan Latif Memon Author 2: Shakila Memon Author 3: Junaid Ahmed Bhatti Author 4: Raheel Ahmed Memon Author 5: Abdul Sattar Chan

A flexible architecture is always required when trying to communicate with heterogeneous kind of systems, and IoT is the largest communication network of the history, which is bringing life to everything around us. Currently available three and four layered communication architectures are the popular basic structures to implement IoT. Where… Read full abstract & cite →

Internet of Things virtualization virtual mote cloud heterogeneous systems

Abstract doi.org/10.14569/IJACSA.2020.0110450 PDF

51

An Ontological Model of Hadith Texts

Author 1: Bendjamaa Fairouz Author 2: Taleb Nora Author 3: Arari Amina Nouha

The Hadith being the second source of legislation after the Holy Qur'an in the religion of Islam, it represents a large body of knowledge in unstructured textual form. The specification of Hadiths makes its automatic exploitation a rather robust and an almost impossible task. To enable different types of computer… Read full abstract & cite →

Ontology engineering Islamic ontology Methontology semantic representation

Abstract doi.org/10.14569/IJACSA.2020.0110451 PDF

52

Enhance Medical Sentiment Vectors through Document Embedding using Recurrent Neural Network

Author 1: Rami N. M. Yousef Author 2: Sabrina Tiun Author 3: Nazlia Omar Author 4: Eissa M. Alshari

Adverse Drug Reaction (ADR) extraction is the process of identifying drug implications mentioned in social posts. Handling medical text for the identification of ADR is vital to research in terms of configuring the side effect and other medical-related entities within any medical text. However, investigating the role of such effect… Read full abstract & cite →

Adverse drug reaction medical sentiment analysis recurrent neural network support vector machine logistic regression

Abstract doi.org/10.14569/IJACSA.2020.0110452 PDF

53

Analysis of Vulnerability in Emergency Situations in Kindergarten and Primary School Education Centers in Peru

Author 1: Witman Alvarado-Díaz Author 2: Alva Mantari Alicia Author 3: Meneses-Claudio Brian Author 4: Avid Roman-Gonzalez

The people who require greater protection and safety are children, mainly when they are in an educational center, where teachers are responsible for their care, therefore, it is important to have prepared teachers to face emergency situations, since, the sense of insecurity is greater in national schools due to the… Read full abstract & cite →

Geographic information systems student-teacher relationship students teachers maps number of vulnerable students

Abstract doi.org/10.14569/IJACSA.2020.0110453 PDF

54

A Review of Critical Research Areas under Information Diffusion in Social Networks

Author 1: Surbhi Kakar Author 2: Monica Mehrotra

An online social network is a network where people exchange their ideas or opinions. Exchange of ideas between users leads to spread of information at a larger scale in the social networks. This spread of information is also called information diffusion. This work is dedicated to identifying research areas under… Read full abstract & cite →

Information diffusion influence maximization retweet prediction influence models

Abstract doi.org/10.14569/IJACSA.2020.0110454 PDF

55

Acoustic Modeling in Speech Recognition: A Systematic Review

Author 1: Shobha Bhatt Author 2: Anurag Jain Author 3: Amita Dev

The paper presents a systematic review of acoustic modeling (AM) techniques in speech recognition(SR). Acoustic modeling establishes a relationship between acoustic information and language construct in SR. Over the past decades, researchers presented studies addressing specific concerns in AM. However, all previous research works lack a systematic and comprehensive review… Read full abstract & cite →

Acoustic modeling speech recognition systematic review acoustic unit MFCC classification

Abstract doi.org/10.14569/IJACSA.2020.0110455 PDF

56

Parkinson’s Disease Classification using Gaussian Mixture Models with Relevance Feature Weights on Vocal Feature Sets

Author 1: Ouiem Bchir

In order to perceive automatically the manifestation of dysarthria in Parkinson’s disease, we propose a novel classifier which is able to categorize acoustic features and detects articulatory deficits. The proposed approach incorporates relevance feature weighting to the Gaussian mixture model in order to address the issue of high dimensionality. Besides… Read full abstract & cite →

Gaussian Mixture Models relevance feature weights Parkinson’s disease acoustic feature sets

Abstract doi.org/10.14569/IJACSA.2020.0110456 PDF

57

BlockChain with IoT, an Emergent Routing Scheme for Smart Agriculture

Author 1: Sabir Hussain Awan Author 2: Sheeraz Ahmed Author 3: Asif Nawaz Author 4: Sozan Sulaiman Maghdid Author 5: Khalid Zaman Author 6: M.Yousaf Ali Khan Author 7: Zeeshan Najam Author 8: Sohail Imran

Blockchain is an emerging field of study in a number of applications and domains. Especially when combine with Internet of Things (IoT) this become truly transformative, opening up new plans of action, improving engagement and revolutionizing many sectors including agriculture. IoT devices are intelligent and have high critical capabilities but… Read full abstract & cite →

IoT efficient energy scheme agriculture

Abstract doi.org/10.14569/IJACSA.2020.0110457 PDF

58

Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events)

Author 1: Sabah Al-Fedaghi

Constructing a conceptual model as an abstract representation of a portion of the real world involves capturing the (1) static (things/objects and trajectories of flow), (2) the dynamic (event identification), and (3) the behavior (e.g., acceptable chronology of events) of the modeled system. This paper focuses on examining the behavior… Read full abstract & cite →

System behavior static model chronology of events conceptual representation dynamic specification

Abstract doi.org/10.14569/IJACSA.2020.0110458 PDF

59

A Meta-Model for Strategic Educational Goals

Author 1: Mohammad Alhaj Author 2: Ashraf Sharah

Metamodeling technique is adopted widely in different fields related to software and system engineering. A meta-model represents the abstraction of a detailed design at multiple level. It is used in any structured environment ruled by a certain constraints and obligations and instantiate different platform specific domains from a single platform… Read full abstract & cite →

Model-driven engineering meta-model goal model ecore modeling framework object constraint language strategic educational goals

Abstract doi.org/10.14569/IJACSA.2020.0110459 PDF

60

Soft Computing for Scalability in Context Aware Location based Services

Author 1: Priti Jagwani Author 2: Saroj Kaushik

Ubiquitous computing blended with context awareness gives user the facility of “anywhere anytime” computing. Location based services represents a class of context aware computing. Involvement of location as the primary input in location based services triggered concerns for user’s privacy. Most of the privacy work in domain of location based… Read full abstract & cite →

Context aware LBS Fuzzy C Means Genetic Algorithm location privacy K anonymity scalability

Abstract doi.org/10.14569/IJACSA.2020.0110460 PDF

61

Modelling a Hybrid Wireless/Broadband over Power Line (BPL) Communication in 5G

Author 1: Mohammad Woli Ullah Author 2: Mohammad Azazur Rahman Author 3: Md. Humayun Kabir Author 4: Muhammad Mostafa Amir Faisal

5G will explore wireless communication dynamically, which will provide high-speed internet with low latency. So, real-time communication will be possible, and a vast number of devices will connect from different points. 5G has introduced five enabling technologies. Millimeter wave and small cell are two of them. Small cell connects the… Read full abstract & cite →

5G wireless broadband over power line hybrid millimeter wave small cell

Abstract doi.org/10.14569/IJACSA.2020.0110461 PDF

62

BlockTrack-L: A Lightweight Blockchain-based Provenance Message Tracking in IoT

Author 1: Muhammad Shoaib Siddiqui Author 2: Toqeer Ali Syed Author 3: Adnan Nadeem Author 4: Waqas Nawaz Author 5: Sami S. Albouq

Data tracking is of great significance and a central part in digital forensics. In today's complex network design, Internet of Things (IoT) devices communicate with each other and require strong security mechanisms. In maintaining an audit trail of IoT devices or provenance of IoT device data, it is important to… Read full abstract & cite →

Data provenance cloud-based IoT blockchain attribute based encryption light-weight signature generation light-weight authentication

Abstract doi.org/10.14569/IJACSA.2020.0110462 PDF

63

Analysis of Customer Satisfaction Factors on e-Commerce Payment System Methods in Indonesia

Author 1: Hafidz Risqiadi Putra Author 2: Sfenrianto

e-Commerce companies are currently competing to make it easier for customers to make transactions with a variety of payment system methods that have been provided and developed. The research aims to find out the factors that influence customer satisfaction in using the payment system method. The variables used in the… Read full abstract & cite →

e-Commerce payment system methods DeLone and McLean Structural Equation Model (SEM)

Abstract doi.org/10.14569/IJACSA.2020.0110463 PDF

64

Image Classification Considering Probability Density Function based on Simplified Beta Distribution

Author 1: Kohei Arai

Method for image classification considering Probability Density Function (PDF) based on simplified beta distributions is proposed. In this paper, image classification for Synthetic Aperture Radar (SAR) data is concerned. In particular, Probability Density Function (PDF) of SAR data is followed by not multivariate normal distribution but Chi-Square like distribution. It… Read full abstract & cite →

Synthetic aperture radar (SAR) maximum likelihood classification: MLH probability density function (PDF) simplified beta distribution

Abstract doi.org/10.14569/IJACSA.2020.0110464 PDF

65

A Novel Two Level Edge Activated Carry Save Adder for High Speed Processors

Author 1: K Mariya Priyadarshini Author 2: R.S Ernest Ravindran Author 3: Ipseeta Nanda

In today’s increasing demand of higher integration levels of VLSI and ULSI processors memory capacity and ALU efficiency plays a critical role in designing. The chip-size of memory depends on number of Flip-Flop’s (FF) which are the micro cells to store binary values. An efficient adder is always a parameter… Read full abstract & cite →

Carry Save Adder digital integrated circuits flip-flop switching power dissipation two level edge triggering

Abstract doi.org/10.14569/IJACSA.2020.0110465 PDF

66

Role of Emerging IoT Big Data and Cloud Computing for Real Time Application

Author 1: Mamoona Humayun

Although the Internet of things (IoT), cloud computing (CC), and Big Data (BGD) are three different approaches that have evolved independently of each other over time; however, with time, they are becoming increasingly interconnected. The convergence of IoT, CC, and BGD provides new opportunities in various real-time applications, including telecommunication… Read full abstract & cite →

Internet of Things (IoT) big data (BGD) cloud computing (CC) sensors actuators healthcare

Abstract doi.org/10.14569/IJACSA.2020.0110466 PDF

67

From Traditional to Intelligent Academic Advising: A Systematic Literature Review of e-Academic Advising

Author 1: Abeer Assiri Author 2: Abdullah AL-Malaise AL-Ghamdi Author 3: Hani Brdesee

Academic advising plays a crucial role in the achievement of the educational institution purposes. It is an essential element in solving students' academic problems and maximizing their satisfaction and loyalty. Universities around the world have always tried to improve academic advising to personalize the student’s experience. In fact, technology has… Read full abstract & cite →

Academic advising system electronic advising system higher education intelligent systems

Abstract doi.org/10.14569/IJACSA.2020.0110467 PDF

68

Quantitative Exploratory Analysis of the Variation in Hemoglobin Between the Third Trimester of Pregnancy and Postpartum in a Vulnerable Population in VRAEM - Perú

Author 1: Lina Cardenás-Pineda Author 2: Raquel Aronés-Cárdenas Author 3: Gabriela Ordoñez- Ccora Author 4: Mariza Cárdenas Author 5: Doris Quispe Author 6: Jenny Mendoza Author 7: Alicia Alva Mantari

The study is based on determining the difference in hemoglobin in the third trimester of pregnancy and the immediate puerperium of childbirths attended at the Hospital de Apoyo San Francisco, during 2018, located in the VRAEM area, a vulnerable area due to the level of poverty and exposure of the… Read full abstract & cite →

Hemoglobin pregnant puerperium childbirth cesarean anemia vulnerable area

Abstract doi.org/10.14569/IJACSA.2020.0110468 PDF

69

Towards Robust Combined Deep Architecture for Speech Recognition : Experiments on TIMIT

Author 1: Hinda DRIDI Author 2: Kais OUNI

Over the last years, many researchers have engaged in improving accuracies on Automatic Speech Recognition (ASR) task by using deep learning. In state-of-the-art speech recognizers, both Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) based Reccurent Neural Network (RNN) have achieved improved performances compared to Convolutional Neural Network (CNN)… Read full abstract & cite →

Automatic speech recognition deep learning phoneme recognition convolutional neural network long short-term memory gated recurrent unit deep neural network recurrent neural network CLDNN CGDNN TIMIT

Abstract doi.org/10.14569/IJACSA.2020.0110469 PDF

70

An Improved Method for Taxonomy Development in Information Systems

Author 1: Badr Omair Author 2: Ahmad Alturki

Theories of information systems (IS) can be categorized into five types: analytic, explaining, prediction, explaining and prediction, and design and action theory. A taxonomy could be considered a type of analysis theory which specifies the dimensions and characteristics of objects of interest by defining their shared features. Developing a taxonomy… Read full abstract & cite →

Classification design science design science research taxonomy taxonomy development typology

Abstract doi.org/10.14569/IJACSA.2020.0110470 PDF

71

Authentication using Robust Primary PIN (Personal Identification Number), Multifactor Authentication for Credit Card Swipe and Online Transactions Security

Author 1: S. Vaithyasubramanian

In view of effectiveness, ease of access and profitability, the advancement in e-Commerce is an immense step in forward. The development is went with further unusual vulnerabilities to worry. The significant issue all through the world in credit card management is credit card fraud. Because of extortion and fraudsters persistently… Read full abstract & cite →

Credit card fraud online transaction card swipe transaction Personal Index Number (PIN) Card Verification Value (CVV) One Time Password (OTP) Primary Personal Index Number security

Abstract doi.org/10.14569/IJACSA.2020.0110471 PDF

72

Enhanced Data Lake Clustering Design based on K-means Algorithm

Author 1: Jabrane Kachaoui Author 2: Abdessamad Belangour

In recent years, Big Data requirements have evolved. Organizations are trying more than ever to accent their efforts on industrial development of all data at their disposal and move further away from underpinning technologies. After investing around Data Lake concept, organizations must now overhaul their data architecture to face IoT… Read full abstract & cite →

Big data Data Lake NoSQL MongoDB K-means metadata

Abstract doi.org/10.14569/IJACSA.2020.0110472 PDF

73

Representing and Simulating Uncertainty of the Quality of Service of Web Services using Fuzzy Cognitive Map Approach

Author 1: Mamoon Obiedat Author 2: Ahmad Khasawneh Author 3: Mustafa Banikhalaf Author 4: Ali Al-yousef

Web services are growing rapidly to provide clients, either organizations or individuals, with multiple Internet services and to offer solutions for the integration of many applications. Quality of Service (QoS) of a Web service is the key consideration of both service providers and users. Thus, measuring the QoS requires, in… Read full abstract & cite →

Web services quality of services uncertainty fuzzy cognitive maps simulation decision support systems

Abstract doi.org/10.14569/IJACSA.2020.0110473 PDF

74

Machine Learning Techniques to Visualize and Predict Terrorist Attacks Worldwide using the Global Terrorism Database

Author 1: Enrique Lee Huamaní Author 2: Alva Mantari Alicia Author 3: Avid Roman-Gonzalez

Terrorist attacks affect the confidence and security of citizens; it is a violent form of a political struggle that ends in the destruction of order. In the current decade, along with the growth of social networks, terrorist attacks around the world are still ongoing and have had potential growth in… Read full abstract & cite →

Artificial intelligence decision trees machine learning random forest terrorist attack

Abstract doi.org/10.14569/IJACSA.2020.0110474 PDF

75

A Novel Human Action Recognition and Behaviour Analysis Technique using SWFHOG

Author 1: Aditi Jahagirdar Author 2: Manoj Nagmode

In this paper, a new local feature, called, Salient Wavelet Feature with Histogram of Oriented Gradients (SWFHOG) is introduced for human action recognition and behaviour analysis. In the proposed approach, regions having maximum information are selected based on their entropies. The SWF feature descriptor is formed by using the wavelet… Read full abstract & cite →

Action recognition behaviour analysis HOG salient wavelet feature neural network wavelet transform SWFHOG

Abstract doi.org/10.14569/IJACSA.2020.0110475 PDF

76

A Method to Detect and Avoid Hardware Trojan for Network-on-Chip Architecture based on Error Correction Code and Junction Router (ECCJR)

Author 1: Hafiz Ali Hamza Gondal Author 2: Sajida Fayyaz Author 3: Arooj Aftab Author 4: Saira Nokhaiz Author 5: Muhammad Bilal Arshad Author 6: Waqas Saleem

Modern technologies has changed our life, such as everywhere computing communication and internet. Number of transistors increasing in a system day by day and this trend will continue further. The wire connection is easily breakable and not a reliable technology in field of networks. In conventional network dedicated wired path… Read full abstract & cite →

Hardware trojan network-on-chip intellectual property error correcting code junction router

Abstract doi.org/10.14569/IJACSA.2020.0110476 PDF

77

Feature Selection for Phishing Website Classification

Author 1: Shafaizal Shabudin Author 2: Nor Samsiah Sani Author 3: Khairul Akram Zainal Ariffin Author 4: Mohd Aliff

Phishing is an attempt to obtain confidential information about a user or an organization. It is an act of impersonating a credible webpage to lure users to expose sensitive data, such as username, password and credit card information. It has cost the online community and various stakeholders hundreds of millions… Read full abstract & cite →

Relevant features phishing web threat classification machine learning feature selection

Abstract doi.org/10.14569/IJACSA.2020.0110477 PDF

78

A Design of Packet Scheduling Algorithm to Enhance QoS in High-Speed Downlink Packet Access (HSDPA) Core Network

Author 1: Sohail Ahmed Author 2: Mubashar Ali Author 3: Abdullah Baz Author 4: Hosam Alhakami Author 5: Bilal Akbar Author 6: Imran Ali Khan Author 7: Adeel Ahmed Author 8: Muhammad Junaid

Voice over Internet Protocol (VOIP) in an efficient manner is a basic requirement of modern era. The real time and non-real traffics demand customized communication provisioning to get guarantee of service. For this we proposed a user fulfillment design for facilitating packets switching in 3G cellular network to insure provisioning… Read full abstract & cite →

Packet Scheduling Classification DiffServ LLQ EURANE

Abstract doi.org/10.14569/IJACSA.2020.0110478 PDF

79

Deep Learning based Intelligent Surveillance System

Author 1: Muhammad Ishtiaq Author 2: Sultan H. Almotiri Author 3: Rashid Amin Author 4: Mohammed A. Al Ghamdi Author 5: Hamza Aldabbas

In the field of developing innovation, pictures are assuming as an important entity. Almost in all fields, picture base data is considered very beneficial, like in the field of security, facial acknowledgment, or therapeutic imaging, pictures make the existence simple for people. In this paper, an approach for both human… Read full abstract & cite →

HMG ALMD PBoW DPNs LOP BoF CT LDA EBT

Abstract doi.org/10.14569/IJACSA.2020.0110479 PDF

80

Improved Security Particle Swarm Optimization (PSO) Algorithm to Detect Radio Jamming Attacks in Mobile Networks

Author 1: Ahmad K. Al Hwaitat Author 2: Mohammed Amin Almaiah Author 3: Omar Almomani Author 4: Mohammed Al-Zahrani Author 5: Rizik M. Al-Sayed Author 6: Rania M.Asaifi Author 7: Khalid K. Adhim Author 8: Ahmad Althunibat Author 9: Adeeb Alsaaidah

Jamming attack is one of the most common threats on wireless networks through sending a high-power signal to the network in order to corrupt legitimate packets. To address Jamming attacks problem, the Particle Swarm Optimization (PSO) algorithm is used to describe and simulate the behavior of a large group of… Read full abstract & cite →

Jamming attacks Mobility PSO mobile networks attacked detection network security

Abstract doi.org/10.14569/IJACSA.2020.0110480 PDF

81

Cross-site Scripting Research: A Review

Author 1: PMD Nagarjun Author 2: Shaik Shakeel Ahamad

Cross-site scripting is one of the severe problems in Web Applications. With more connected devices which uses different Web Applications for every job, the risk of XSS attacks is increasing. In Web applications, hacker steals victims session details or other important information by exploiting XSS vulnerabilities. We studied 412 research… Read full abstract & cite →

Cross-site scripting web security web applications XSS attacks mobile

Abstract doi.org/10.14569/IJACSA.2020.0110481 PDF

82

Exploratory Study of the Effect of Obstetric Psychoprophylaxis on the Cortisol Level in Pregnant Women, Huancavelica - Perú

Author 1: Lina Cardenás-Pineda Author 2: Alicia Alva Mantari Author 3: Rossibel Muñoz Author 4: Gabriela Ordoñez-Ccora Author 5: Tula Guerra Author 6: Sandra Jurado-Condori

Objective: To determine the cortisol level of patients who make use of the Obstetric Psychoprophylaxis (OPP) service in a first-level health center, February - May 2018. Material and methods: Descriptive, prospective, cross-sectional. Results: 68.75% of pregnant women have a stable conjugal relationship, while 25% are single and 6.25% separated, 50%… Read full abstract & cite →

Cortisol obstetric psychoprophylaxis pregnant women sessions gestational serum observed

Abstract doi.org/10.14569/IJACSA.2020.0110482 PDF

83

DMTree: A Novel Indexing Method for Finding Similarities in Large Vector Sets

Author 1: Phuc Do Author 2: Trung Phan Hong Author 3: Huong Duong To

In a vector set, to find similarities we will compute distances from the querying vector to all other vectors. On a large vector set, computing too many distances as above takes a lot of time. So we need to find a way to compute less distance and the MTree structure… Read full abstract & cite →

MTree DMTree spark distributed k-NN query distributed range query

Abstract doi.org/10.14569/IJACSA.2020.0110483 PDF

84

Machine Learning Model for Personalizing Online Arabic Journalism

Author 1: Nehad Omar Author 2: Yasser M. K. Omar Author 3: Fahima A. Maghraby

The paper discusses a model of generating dynamic profile for Arabic News Users, capturing user preference by analyzing his review of historical news, and recommend him news as soon as he creates account on News Mobile App, Preference is calculated based on article main keywords score, which is extracted from… Read full abstract & cite →

Personalization e-journalism KNN (K-nearest Neighborhood) dynamic user profile NLP (Natural Language Processing) data driven organization

Abstract doi.org/10.14569/IJACSA.2020.0110484 PDF

85

Profiling Patterns in Healthcare System: A Preliminary Study

Author 1: Nicholas Khin-Whai Chan Author 2: Angela Siew-Hoong Lee Author 3: Zuraini Zainol

In the 21st century, our planet revolves around data and is known as a digital earth. The astonishing growth in data has resulted in an increase in interest of Big Data Analytics to capture, store, process, analyze and visualize unprecedented amount of information. Big data has undoubtedly and will continue… Read full abstract & cite →

Big data analytics data mining descriptive analysis healthcare pattern profiling

Abstract doi.org/10.14569/IJACSA.2020.0110485 PDF

86

Design and Construction of a Low-Cost Device for the Evaluation of Redox Behaviour using Lineal Voltammetry Techniques

Author 1: Kevin Rodriguez-Villarreal Author 2: Alicia Alva Author 3: Daniel Ramos-Sono Author 4: Michael Cieza Terrones Author 5: Avid Roman-Gonzalez

Electrochemical techniques have been generating great interest due to their wide range of applications and their ease of use. For this reason, in recent years’ electrochemical techniques such as cyclic voltammetry, anodic voltametric stripping, chronoamperometry and linear voltammetry have been developed. Linear voltammetry is one of the most widely used… Read full abstract & cite →

Potentiostat blood lead toxicity

Abstract doi.org/10.14569/IJACSA.2020.0110486 PDF

87

Application of Piecewise Linear Approximation Method for the Estimation of Origin-Destination Matrix

Author 1: Miguel Fernández Author 2: Enrique Lee Huamaní Author 3: Aldo Fernández Author 4: Avid Roman-Gonzalez

This paper presents a Mixed-Integer Programming Model for the urban freight transport planning problem through the estimation of the Origin-Destination Matrix. The Origin-Destination Matrix is used to know the pattern of travel or vehicle flow between different zones of a city and is estimated from the counting of vehicles on… Read full abstract & cite →

Urban freight transport origin-destination matrix mixed-integer programming model piecewise linear approximation method

Abstract doi.org/10.14569/IJACSA.2020.0110487 PDF

88

Image Search based on Words Extracted from Others’ Utterances for Effective Idea Generation

Author 1: Yutaka Yamaguchi Author 2: Daisuke Shibata Author 3: Chika Oshima Author 4: Koichi Nakayama

People often engage in brainstorming because they want to develop attractive products that involve a new idea. Consequently, many studies, methods, and systems that aim to help people generate ideas have been proposed. We developed the search websites images using search suggestions (SWISS) system, which displays images based on a… Read full abstract & cite →

Autosuggest brainstorming search word smart-phone SWISS

Abstract doi.org/10.14569/IJACSA.2020.0110488 PDF

89

Detection of Suicidal Intent in Spanish Language Social Networks using Machine Learning

Author 1: Kid Valeriano Author 2: Alexia Condori-Larico Author 3: Josè Sulla-Torres

Suicide is a considerable problem in our population, early intervention for its prevention has a very important role, in order to counteract the number of deaths from suicide. Today, just over half of the world’s population uses social networks, where they express ideas, feelings, desires, including suicide intentions. Motivated by… Read full abstract & cite →

Spanish suicide ideation embeddings machine learning phrases classification

Abstract doi.org/10.14569/IJACSA.2020.0110489 PDF

90

General Variable Neighborhood Search for the Quote-Travelling Repairman Problem

Author 1: Ha-Bang Ban

The Quota-Travelling Repairman Problem (Q-TRP) tries to find a tour that minimizes the waiting time while the profit collected by a repairman is not less than a predefined value. The Q-TRP is an extended variant of the Travelling Repairman Problem (TRP). The problem is NP-hard problem; therefore, metaheuristic is a… Read full abstract & cite →

Q-TRP GVNS AM GRASP

Abstract doi.org/10.14569/IJACSA.2020.0110490 PDF

91

Proposed Authentication Protocol for IoT using Blockchain and Fog Nodes

Author 1: Ahmed Nabil Abdalah Author 2: Ammar Mohamed Author 3: Hesham A. Hefny

The IoT offers enormous opportunities and also brings some challenges. Authentication considered one of the main challenges introduced by IoT. IoT devices are not able to protect themselves due to there limited processing and storage capabilities. Researchers proposed authentication algorithms with either a lack of scalability or vulnerable to cyberattacks… Read full abstract & cite →

Internet of Things smart contract blockchain fog computing authentication access token

Abstract doi.org/10.14569/IJACSA.2020.0110491 PDF

92

Balochi Non Cursive Isolated Character Recognition using Deep Neural Network

Author 1: Ghulam Jan Naseer Author 2: Abdul Basit Author 3: Imran Ali Author 4: Arif Iqbal

The text recognition research in artificial intelli-gence has enabled machines not only to recognize the human spoken languages but also to interpret them. Optical character recognition is a subarea of AI that converts scanned text images into an editable document. The researchers proposed various text recognition techniques to identify cursive… Read full abstract & cite →

Convolutional neural network data augmentation character recognition cursive character recognition detection text segmentation

Abstract doi.org/10.14569/IJACSA.2020.0110492 PDF

93

Recovery of Structural Controllability into Critical Infrastructures under Malicious Attacks

Author 1: Bader Alwasel

The problem of controllability of networks can be seen in critical infrastructure systems which are increasingly susceptible to random failures and/or malicious attacks. The ability to recover controllability quickly following an attack can be considered a major problem in control systems. If this is not ensured, it can enable the… Read full abstract & cite →

Structural controllability control systems cyber physical systems power dominating set recovery from attacks

Abstract doi.org/10.14569/IJACSA.2020.0110493 PDF

94

Educational Data Mining Applications and Techniques

Author 1: Fatima Alshareef Author 2: Hosam Alhakami Author 3: Tahani Alsubait Author 4: Abdullah Baz

Educational data mining (EDM) uses data mining techniques to analyze huge amounts of student data in the educa-tional environments. The main purpose of EDM is to analyze and solve educational issues and, consequently, improve educational processes. With the emergence of EDM applications in the educational environments, several techniques have been… Read full abstract & cite →

Educational data mining student performance pre-diction classification clustering

Abstract doi.org/10.14569/IJACSA.2020.0110494 PDF

95

A Development of Simulator Considering Behavioral Psychology of Japanese to Improve Evacuation Ratio in Flood

Author 1: Tatsuki Fukuda

In Japan, the natural disasters causes a lot of damages of residents. For example, the flood caused by heavy rain and house collapse due to earthquake. As you know, no one can evacuate from earthquake because it is not knowable that when the earthquake will occur. The residents, however, often… Read full abstract & cite →

Simulator game theory flood

Abstract doi.org/10.14569/IJACSA.2020.0110495 PDF

96

3D Hand Gesture Representation and Recognition through Deep Joint Distance Measurements

Author 1: P. Vasavi Author 2: Suman Maloji Author 3: E. Kiran Kumar Author 4: D. Anil Kumar Author 5: N. Sasikala

Hand gestures with finger relationships are among the toughest features to extract for machine recognition. In this paper, this particular research challenge is addressed with 3D hand joint features extracted from distance measurements which are then colour mapped as spatio temporal features. Further patterns are learned using an 8-layer convolutional… Read full abstract & cite →

Gesture recognition 3D motion capture deep learn-ing joint relational distance maps

Abstract doi.org/10.14569/IJACSA.2020.0110496 PDF

97

Overview of Fault Tolerance Techniques and the Proposed TMR Generator Tool for FPGA Designs

Author 1: Abdul Rafay Khatri

The FPGA has been involved in many safety and mission-critical applications in the last few decades. FPGA designs are also critical to errors and failures due to radiations. Fault-tolerant systems should be designed to overcome the effect of faults or failure during the operation of the systems. The primary objective… Read full abstract & cite →

FPGA designs fault tolerance TMR technique Verilog HDL

Abstract doi.org/10.14569/IJACSA.2020.0110497 PDF

98

Metamorphic Testing of AI-based Applications: A Critical Review

Author 1: Muhammad Nadeem Khokhar Author 2: Muhammad Bilal Bashir Author 3: Muhammad Fiaz

Metamorphic testing is the youngest testing ap-proach among other members of the testing family. It is de-signed to test software, which are complex in nature and it is difficult to compute test oracle for them against a given set of inputs. Metamorphic testing approach tests the software with the help… Read full abstract & cite →

Metamorphic testing metamorphic relation test oracle problem artificial intelligence genetic algorithm machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110498 PDF

99

On-Road Deer Detection for Advanced Driver Assistance using Convolutional Neural Network

Author 1: W Jino Hans Author 2: V Sherlin Solomi Author 3: N Venkateswaran

Animal-vehicle collision (AVC) is a major concern in road safety that affects human life, properties, and wildlife. Most of the collisions happen with large animals especially deer that enters the road suddenly. Furthermore, the threat is even more alarming in poor visibility conditions such as night-time, fog, rain, etc. Therefore… Read full abstract & cite →

Computer vision animal detection deep learning Animal Vehicle Collision (AVC)

Abstract doi.org/10.14569/IJACSA.2020.0110499 PDF

100

Clustering Nodes and Discretizing Movement to Increase the Effectiveness of HEFA for a CVRP

Author 1: Ubassy Abdillah Author 2: Suyanto Suyanto

A Capacitated Vehicle Routing Problem (CVRP) is an important problem in transportation and industry. It is challenging to be solved using some optimization algorithms. Unfortunately, it is not easy to achieve a global optimum solution. Hence, many researchers use a combination of two or more optimization algorithms, which based on… Read full abstract & cite →

Swarm intelligence capacitated vehicle routing problem firefly algorithm differential evolution hybrid evolution-ary firefly algorithm

Abstract doi.org/10.14569/IJACSA.2020.01104100 PDF

101

Development of a Practical Tool in Pick-and-Place Tasks for Human Workers

Author 1: Yunan He Author 2: Osamu Fukuda Author 3: Daisuke Sakaguchi Author 4: Nobuhiko Yamaguchi Author 5: Hiroshi Okumura Author 6: Kohei Arai

We introduce smart hand, a practical tool for human workers in pick-and-place tasks. It is developed to avoid picking up the wrong thing from one location or place the things in an unexpected location. Smart hand features sensors (e.g., imaging sensors, motion sensors) to sense the world and offers suggestions… Read full abstract & cite →

Pick-and-place task human-robot collaboration cognitive system hand tools

Abstract doi.org/10.14569/IJACSA.2020.01104101 PDF

102

Clone Detection Techniques for JavaScript and Language Independence: Review

Author 1: Danyah Alfageh Author 2: Hosam Alhakami Author 3: Abdullah Baz Author 4: Eisa Alanazi Author 5: Tahani Alsubait

Code clone detection is an active field of study in computer science. Despite its rich history, it lacks focus on web scripting languages. Due to the expansion of web applications and web development amongst developers of varying education and experience levels, they inevitably resort to cloning through out the web… Read full abstract & cite →

Clone detection code clones JavaScript language independent clone detection web applications

Abstract doi.org/10.14569/IJACSA.2020.01104102 PDF

103

A Multi-Criteria Recommendation Framework using Adaptive Linear Neuron

Author 1: Mohammed Hassan Author 2: Mohamed Hamada Author 3: Saratu Yusuf Ilu

Recent developments in the field of recommender systems have led to a renewed interest in employing some of the sophisticated machine learning algorithms to combine multiple characteristics of items during the process of making recom-mendations. Considerable number of research papers have been published on multi-criteria recommendation techniques. Most of these… Read full abstract & cite →

Multi-criteria recommender systems adaptive linear neuron artificial neural network singular value decomposition prediction accuracy

Abstract doi.org/10.14569/IJACSA.2020.01104103 PDF

104

Introducing the Urdu-Sindhi Speech Emotion Corpus: A Novel Dataset of Speech Recordings for Emotion Recognition for Two Low-Resource Languages

Author 1: Zafi Sherhan Syed Author 2: Sajjad Ali Memon Author 3: Muhammad Shehram Shah Author 4: Abbas Shah Syed

Speech emotion recognition is one of the most active areas of research in the field of affective computing and social signal processing. However, most research is directed towards a select group of languages such as English, German, and French. This is mainly due to a lack of available datasets in… Read full abstract & cite →

Speech emotion recognition affective computing social signal processing

Abstract doi.org/10.14569/IJACSA.2020.01104104 PDF

105

Identifying Muscle Strength Imbalances in Athletes using Motion Analysis Incorporated with Sensory Inputs

Author 1: Sameera S. Vithanage Author 2: Maneesha S. Ratnadiwakara Author 3: Damitha Sandaruwan Author 4: Shiromi Arunathileka Author 5: Maheshya Weerasinghe Author 6: Chathuranga Ranasinghe

Movement analysis is one of the commonly used methods in the context of physiotherapy to identify dysfunctions in the human musculoskeletal system. The overhead squat is a popular movement pattern that is also approved by NASM (National Academy of Sports Medicine of USA) among the various movement patterns that are… Read full abstract & cite →

Musculoskeletal imbalance movement analysis motion tracking injury prevention

Abstract doi.org/10.14569/IJACSA.2020.01104105 PDF

106

On the Recovery of Terrestrial Wireless Network using Cognitive UAVs in the Disaster Area

Author 1: Najam Ul Hasan Author 2: Prajoona Valsalan Author 3: Umer Farooq Author 4: Imran Baig

Natural disasters such as earthquakes, floods and fires may cause the existing wireless network infrastructure to collapse, leaving behind several disconnected network parts. UAVs could help to establish communication between these disconnected parts using their ability to hover and fly across the affected region. However, UAV deployment faces several problems… Read full abstract & cite →

Cognitive radio networks spectrum allocation sen-sor network

Abstract doi.org/10.14569/IJACSA.2020.01104106 PDF

107

Arabic Word Recognition System for Historical Documents using Multiscale Representation Method

Author 1: Said Elaiwat Author 2: Marwan Abu-Zanona

In the last decades, huge efforts have been made to develop automated handwriting recognition systems. The task of recognition usually involves several complex processes includ-ing image pre-processing, segmentation, features extracting and matching. This task usually gets harder by processing historical documents as they involve skews, document degradation and structure noise… Read full abstract & cite →

Word recognition multiscale convexity concavity analysis historical documents dynamic time warping

Abstract doi.org/10.14569/IJACSA.2020.01104107 PDF

108

An Improved CoSaMP Multiuser Detection for Uplink Grant Free NOMA System

Author 1: Saifullah Adnan Author 2: Yuli Fu Author 3: Jameel Ahmed Bhutto Author 4: Junejo Naveed Ur Rehman Author 5: Raja Asif Wagan Author 6: Abbas Ghulam

Non-Orthogonal Multiple Access (NOMA) is the most prominent technology that enhances massive connectivity and spectral efficiency in 5G cellular communication. It provides services to the multi-users in time, frequency, and code domain with significant power level. Message Passing Algorithm (MPA) detection in a multi-user uplink grant-free system requires user activity… Read full abstract & cite →

MMSE multi-user detection CoSaMP NOMA MPA SNR

Abstract doi.org/10.14569/IJACSA.2020.01104108 PDF