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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJACSA Vol. 11 Issue 6 (2020)

Open Access | | 87 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

1

Modeling Real-World Load Patterns for Benchmarking in Clouds and Clusters

Author 1: Kashifuddin Qazi

Cloud computing has currently permeated all walks of life. It has proven extremely useful for organizations and individual users to save costs by leasing compute resources that they need. This has led to an exponential growth in cloud computing based research and development. A substantial number of frameworks, approaches and… Read full abstract & cite →

Cloud computing workload generator cluster com-putting
2

Performance Evaluation of LoRa ES920LR 920 MHz on the Development Board

Author 1: Puput Dani Prasetyo Adi Author 2: Akio Kitagawa

This study contains the LoRa ES920LR test on obstruction or resistance conditions and its comparison with Free Space Path Loss (FSPL) using Drone means without obstacles. The ES920LR has 920 MHz frequency channel settings, 125 kHz Bandwidth, and SF 7-12, with 13 dBm Output Power. Comes with Sleep mode operation… Read full abstract & cite →

Coverage lifetime low power lightweight long range development board free Space drone
3

Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset

Author 1: Workneh Y. Ayele

Data mining project managers can benefit from using standard data mining process models. The benefits of using standard process models for data mining, such as the de facto and the most popular, Cross-Industry-Standard-Process model for Data Mining (CRISP-DM) are reduced cost and time. Also, standard models facilitate knowledge transfer, reuse… Read full abstract & cite →

CRISP-IM idea generation idea evaluation idea mining evaluation dynamic topic modeling CRISP-DM
4

A Pedestrian Detection and Tracking Method for Robot Equipped with Laser Radar

Author 1: Zhu Bin Author 2: Zhang Jian Rong Author 3: Wang Yan Fang Author 4: Wu Jin Ping

In order to detect and track pedestrians in complex indoor backgrounds, a pedestrian detection and tracking method for indoor robots equipped with Laser radar is proposed. Firstly, The SLAM (Simultaneous Location and Mapping) technology is applied to obtain 2D grid map for a strange environment; then, Monte Carlo localization is… Read full abstract & cite →

Laser radar likelihood field model pedestrian detection pedestrian tracking simultaneous location and mapping
5

Comparative Study of EIGRP and OSPF Protocols based on Network Convergence

Author 1: Ifeanyi Joseph Okonkwo Author 2: Ikiomoye Douglas Emmanuel

Dynamic routing protocols are one of the fastest growing routing protocols in networking technologies because of their characteristics such as high throughput, flexibility, low overhead, scalability, easy configuration, bandwidth, and CPU utilization. Albeit convergence time is a critical problem in any of these routing protocols. Convergence time describes summary of… Read full abstract & cite →

OSPF (Open Shortest Path First) EIGRP (Enhanced Interior Gateway Routing Protocol) routing protocol network convergence topology routers packets Wireshark
6

Estimate the Total Completion Time of the Workload

Author 1: Muhammad Amjad Author 2: Waqas Ahmad Author 3: Zia Ur Rehman Author 4: Waqar Hussain Author 5: Syed Badar Ud Duja Author 6: Bilal Ahmed Author 7: Usman Ali Author 8: M. Abdul Qadoos Author 9: Ammad Khan Author 10: M. Umar Farooq Alvi

The business intelligence workload is required to serve analytical process. The data warehouses have a very large collection of digital data. The large collection of digital data is required to analytical process within the perplexing workload. The main problem for perplexing workload is to estimate the total completion time. Estimate… Read full abstract & cite →

Query interactions estimate time running time
7

Improving Disease Prediction using Shallow Convolutional Neural Networks on Metagenomic Data Visualizations based on Mean-Shift Clustering Algorithm

Author 1: Hai Thanh Nguyen Author 2: Toan Bao Tran Author 3: Huong Hoang Luong Author 4: Trung Phuoc Le Author 5: Nghi C. Tran

Metagenomic data is a novel and valuable source for personalized medicine approaches to improve human health. Data Visualization is a crucial technique in data analysis to explore and find patterns in data. Especially, data resources from metagenomic often have very high dimension so humans face big challenges to understand them… Read full abstract & cite →

Clustering algorithm metagenomic visualization disease prediction mean-shift personalized medicine species abundance bacterial
8

Hybrid Memory Design for High-Throughput and Low-Power Table Lookup in Internet Routers

Author 1: Hayato Yamaki

Table lookup is a major process to decide the packet processing throughput and power efficiency of routers. To realize high-throughput and low-power table lookup, recent routers have employed several table lookup approaches, such as TCAM (Ternary Content Addressable Memory) based approach and DRAM (Dynamic Random Access Memory) based approach, depending… Read full abstract & cite →

Inter routers packet processing table lookup hy-brid memory architecture Packet Processing Cache (PPC)
9

Artificial Intelligence: What it Was, and What it Should Be?

Author 1: Hala Abdel Hameed

Artificial Intelligence was embraced as an idea of simulating unique abilities of humans, such as thinking, self-improvement, and expressing their feelings using different languages. The idea of “Programs with Common Sense" was the main and central goal of Classical AI; it was, mainly built around an internal, updatable cognitive model… Read full abstract & cite →

Classical AI machine learning Neuro-Symbolic AI Cognitive-based AI deep learning
10

Performance Assessment and Analysis of Blended Learning in IT Education: A Longitudinal Study in Saudi Electronic University

Author 1: Mohamed Habib Author 2: Muhammad Ramzan

Blended learning is a new educational model that binds traditional face-to-face learning with application of modern tools and technologies. This helps in retaining the positive features of the traditional learning while allowing students to realize potential of modern technologies. In blended learning, student perceptions and satisfaction plays a key role… Read full abstract & cite →

Blended learning educational data information technology longitudinal study data mining decision tree
11

Usability and Design Issues of Mobile Assisted Language Learning Application

Author 1: Kashif Ishaq Author 2: Fadhilah Rosdi Author 3: Nor Azan Mat Zin Author 4: Adnan Abid

This paper aims to look at teachers, government officials, and students for Literacy & Numeracy Drive (LND), a smartphone app for students in Punjab province, Pakistan, to teach languages and math. Furthermore, to recognize LND usability and design problems while its use for grade three in schools. As the usability… Read full abstract & cite →

Educational technology language learning literacy and numeracy drive mobile application (App) m-learning usability user interface design
12

Intelligent Risk Alarm for Asthma Patients using Artificial Neural Networks

Author 1: Rawabi A. Aroud Author 2: Anas H. Blasi Author 3: Mohammed A. Alsuwaiket

Asthma is a chronic disease of the airways of the lungs. It results in inflammation and narrowing of the respiratory passages; which prevents air flow into the airways and leads to frequent bouts of shortness of breath with wheezing accompanied by coughing and phlegm after exposure to inhalation of substances… Read full abstract & cite →

Asthma ANN data mining intelligent systems machine learning traffic-related pollution
13

Cultural Algorithm Initializes Weights of Neural Network Model for Annual Electricity Consumption Prediction

Author 1: Gawalee Phatai Author 2: Sirapat Chiewchanwattana Author 3: Khamron Sunat

The accurate prediction of annual electricity consumption is crucial in managing energy operations. The neural network (NN) has achieved a lot of achievements in yearly electricity consumption prediction due to its universal approximation property. However, the well-known back-propagation (BP) algorithms for training NN has easily got stuck in local optima… Read full abstract & cite →

Neural network weights initialization metaheuristic algorithm cultural algorithm annual electricity consumption prediction
14

Learning based Coding for Medical Image Compression

Author 1: Abdul Khader Jilani Saudagar

The area of Image processing has emerged with different coding approaches, and applications which are ranging from fundamental image compression model to high quality applications. The advancement of image processing, has given the advantage of automation in various image coding applications, among which medical image processing is one of the… Read full abstract & cite →

Image compression medical image processing neural network learning based coding peak signal-to-noise ratio
15

An IoT based Approach for Efficient Home Automation with ThingSpeak

Author 1: Mubashir Ali Author 2: Zarsha Nazim Author 3: Waqar Azeem Author 4: Muhammad Haroon Author 5: Aamir Hussain Author 6: Khadija Javed Author 7: Maria Tariq

With passage of time, technology is rapidly growing. People and daily life processes are highly dependent on internet. The Internet of Things (IoT) is an area of magnificent impact, growth and potential with the advent and rapid growth of smart homes, smart agriculture, smart cities and smart everything. Internet of… Read full abstract & cite →

Internet of Things (IoT) home automation Arduino ThingSpeak sensors cloud computing mobile computing
16

Discrete Cosine Transformation based Image Data Compression Considering Image Restoration

Author 1: Kohei Arai

Discrete Cosine Transformation (DCT) based image data compression considering image restoration is proposed. An image data compression method based on the compression (DCT) featuring an image restoration method is proposed. DCT image compression is widely used and has four major image defects. In order to reduce the noise and distortions… Read full abstract & cite →

Discrete Cosine Transformation data compression image restoration Landsat TM
17

DVB-T2 Radio Frequency Signal Observation and Parameter Correlation

Author 1: Bexhet Kamo Author 2: Elson Agastra Author 3: Shkelzen Cakaj

In this paper, field test measurement are described and statistically correlated to obtain useful information about radiofrequency (RF) behavior of Digital Video Broadcasting - Terrestrial, second generation (DVB-T2) channels. Monitored radiofrequency data parameters are analyzed from statistical perspective and for finding, if any, linear correlation between them. Practical series of… Read full abstract & cite →

DVB-T2 radio coverage statistical correlation RF data field measurements
18

Causes of Failure in the Implementation and Functioning of Information Systems in Organizations

Author 1: José Ramón Figueroa-Flores Author 2: Elizabeth Acosta-Gonzaga Author 3: Elena Fabiola Ruiz-Ledesma

When implementing or starting up an information system, there are usually a number of causes that can lead to its failure. Today, there are few companies that do not rely on technology to carry out their business processes. Wanting to have a competitive advantage over its competitors and the changing… Read full abstract & cite →

Information systems outsourcing resistance to change organizational culture decision making information systems implementation failures
19

Handwritten Arabic Characters Recognition using a Hybrid Two-Stage Classifier

Author 1: Amjad Ali Al-Jourishi Author 2: Mahmoud Omari

Handwritten Arabic character recognition presents a big challenge to researchers in the field of pattern recognition. Arabic characters are characterized by their highly-cursive nature and many of them have a similar appearance. For example, the only difference between some of the alphabet characters is the existence of a number dots… Read full abstract & cite →

Arabic character recognition Support Vector Machine (SVM) neural network (NN) hybrid classifier
20

Critical Factors Affecting the Intention to Adopt Big Data Analytics in Apparel Sector, Sri Lanka

Author 1: Hiruni Bolonne Author 2: Piyavi Wijewardene

Big data has become a potential research area in apparel industry due to vast amount of data generated in a short period of time. However, the inability to adapt to the challenging and digital environment has pulled out the weaker from the industry while growing the adopters more and more… Read full abstract & cite →

Critical factors TOE framework Technology Acceptance Model (TAM) attitude towards using intention to adopt Big Data Analytics (BDA) apparel sector Sri Lanka
21

Distributed Denial of Service Attacks in Cloud Computing

Author 1: Hesham Abusaimeh

The Cloud Computing attacks have been increased since the expanded use of the cloud computing. One of the famous attacks that targets the cloud computing is the distributed denial of service (DDoS) attack. The common features and component of the cloud structure make it more reachable from this kind of… Read full abstract & cite →

Cloud cloud computing DoS attacks DDoS attacks DDoS prevention DDoS mitigation
22

Analyzing the Performance of Web-services during Traffic Anomalies

Author 1: Avneet Dhingra Author 2: Monika Sachdeva

Intentional or unintentional, service denial leads to substantial economic and reputation losses to the users and the web-service provider. However, it is possible to take proper measures only if we understand and quantify the impact of such anomalies on the victim. In this paper, essential performance metrics distinguishing both transmission… Read full abstract & cite →

Denial of service DDoS attack flash event performance metrics throughput response time
23

4GL Code Generation: A Systematic Review

Author 1: Abdullah A H Alzahrani

Code generation is longstanding goal in software engineering. It allows more productivity of computer programming as it aims to provide automation of transformation of models into actual source code. This process has been covered adequately in many programming languages. However, this topic has not been covered sufficiently with regards to… Read full abstract & cite →

Software engineering code transformation 4GL code generation Model Driven Development (MDD) Extraction Transform Load (ETL) Model Driven Engineering (MDE) Rapid Application Development (RAD)
24

Measuring the Performance of Inventory Management System using Arena Simulator

Author 1: Fawaz J. Alsolami

The demonstration of inventory management systems is presented in this study to deal with a situation, where organizations are facing challenges due to uncertain behavior of demand. The implementation conducted using simulation technique to generate sampling experiment through computing and statistical methods. The important aspect of the simulation is to… Read full abstract & cite →

Inventory management system simulation arena simulation tool demand and inventory
25

Investigating the Awareness and Usage of Moodle Features at Hashemite University

Author 1: Haneen Hijazi Author 2: Ghadeer Al-Kateb Author 3: Eslam Alkhawaldeh

E-learning plays a vital role in the educational process. Learning management systems are being essential component of e-learning. Moodle learning management system is being widely used in Higher Education Institutions due to the rich features it provides that support the learning process. Standard Moodle comprises 21 features (14 activities and… Read full abstract & cite →

Moodle learning management system features awareness usage activities resources tools correlation regression
26

The Role of ICT Projects in Enterprises: Investments, Benefits and Evaluation

Author 1: Khaled H. Alyoubi

The enterprise’s dependency on Information and Communication Technologies (ICT) resources is essential, which cover their several business and operational activities. Enhancing operational capabilities, advancing working environment, and improving employees skills are major benefits provided by modern ICT resources. The real pressure is on organizations to upgrade the ICT infrastructure with… Read full abstract & cite →

ICT projects ICT investment ICT benefits ICT evaluation strategies
27

Serious Games Requirements for Higher-Order Thinking Skills in Science Education

Author 1: Siti Norliza Awang Noh Author 2: Nor Azan Mat Zin Author 3: Hazura Mohamed

Education in the 21st century emphasises the mastery of higher-order thinking skills (HOTS) in the pursuit of developing competitive human capital globally. HOTS can be taught through science education. However, science education is considered very challenging leaving students feeling less interested and less motivated. Apart from that, students are found… Read full abstract & cite →

Higher-Order Thinking (HOT) skills educational games serious games interface design science education
28

Transitioning to Online Learning during COVID-19 Pandemic: Case Study of a Pre-University Centre in Malaysia

Author 1: Ahmad Alif Kamal Author 2: Norhunaini Mohd Shaipullah Author 3: Liyana Truna Author 4: Muna Sabri Author 5: Syahrul N. Junaini

In the last decade, online learning has grown rapidly. However, the outbreak of coronavirus (COVID-19) has caused learning institutions to embrace online learning due to the lockdown and campus closure. This paper presents an analysis of students’ feedback (n=354) from the Centre of Pre-University Studies (PPPU), Universiti Malaysia Sarawak (UNIMAS)… Read full abstract & cite →

E-learning STEM coronavirus: pandemic education technology assessment technology acceptance
29

Optimised Tail-based Routing for VANETs using Multi-Objective Particle Swarm Optimisation with Angle Searching

Author 1: Mustafa Qasim AL-Shammari Author 2: Ravie Chandren Muniyandi

Routing protocols for vehicular ad hoc networks (VANETs) are highly important, as they are essential for operating the concept of intelligent transportation system and several other applications. VANET Routing entails awareness about the nature of the road and various other parameters that affect the performance of the protocol. Optimising the… Read full abstract & cite →

VANETs Routing PDR E2E delay optimization multi-objective particle swarm location based routing MOPSO
30

Enhancement of Fundus Images for Diagnosing Diabetic Retinopathy using B-Spline

Author 1: Tayba Bashir Author 2: Khurshid Asghar Author 3: Mubbashar Saddique Author 4: Shafiq Hussain Author 5: Inam Ul Haq

Medical images, such as CT scan, MRI, X-ray, mammography and fundus are commonly used in medical diagnosis process and helpful to improve diagnose of disease in a better way and reduces the chances of ambiguous perceptions. Medical images are mostly available in low contrast, brightness and noisy form due to… Read full abstract & cite →

B-spline medical images enhancement fundus images diabetic retinopathy interpolation
31

Developing Skills of Cloud Computing to Promote Knowledge in Saudi Arabian Students

Author 1: Ahmed Sadik Author 2: Mohammed Albahiri

The present study aims to develop the skills of the cloud computing applications and the knowledge economy among the university students by designing a participatory electronic learning environment. A sample was chosen from the students of the “General Diploma” in the Faculty of Education, King Khalid University. This sample was… Read full abstract & cite →

Cloud computing applications e-learning environment higher education knowledge economy
32

Image Detection Model for Construction Worker Safety Conditions using Faster R-CNN

Author 1: Madihah Mohd Saudi Author 2: Aiman Hakim Ma’arof Author 3: Azuan Ahmad Author 4: Ahmad Shakir Mohd Saudi Author 5: Mohd Hanafi Ali Author 6: Anvar Narzullaev Author 7: Mohd Ifwat Mohd Ghazali

Many accidents occur on construction sites leading to injury and death. According to the Occupational Safety Health Administration (OSHA), falls, electrocutions, being struck-by-objects and being caught in or between an object were the four main causes of worker deaths on construction sites. Many factors contribute to the increase in accidents… Read full abstract & cite →

PPE OSH accident construction site image detection faster R-CNN
33

A Systematic Overview and Comparative Analysis of Service Discovery Protocols and Middlewares

Author 1: Jawad Hussain Awan Author 2: Usman Naseem Author 3: Shah Khalid Kha Author 4: Nazar Waheed

Context is major source of communication, where information is gathered easily from user context due to the progress of smart and context aware systems. Even, service directory also supports the systems to response the requests, sent through client. In this paper, the authors overviews context aware systems, their sensing capabilities… Read full abstract & cite →

Pervasive computing service discovery protocols context-aware middleware privacy
34

Classification of Multiple Sclerosis Disease using Cumulative Histogram

Author 1: Menna Safwat Author 2: Fahmi Khalifa Author 3: Hossam El-Din Moustafa

Multiple sclerosis (MS) is a chronic disease that affects different body parts including the brain. Detection and classification of MS brain lesions is of immense importance to physicians for the administration of appropriate treatment. Thus, this study investigates an automated framework for the diagnoses and classification of MS lesions in… Read full abstract & cite →

Cumulative Histogram (CH) Magnetic Resonance Image (MRI) Multiple Sclerosis (MS) White Matter (WM)
35

A Categorization of Relevant Sequence Alignment Algorithms with Respect to Data Structures

Author 1: Hasna El Haji Author 2: Larbi Alaoui

Sequence Alignment is an active research subfield of bioinformatics. Today, sequence databases are rapidly and steadily increasing. Thus, to overcome this issue, many efficient algorithms have been developed depending on various data structures. The latter have demonstrated considerable efficacy in terms of run-time and memory consumption. In this paper, we… Read full abstract & cite →

Sequence alignment data structures bioinformatics
36

Bangla Optical Character Recognition and Text-to-Speech Conversion using Raspberry Pi

Author 1: Aditya Rajbongshi Author 2: Md. Ibadul Islam Author 3: Al Amin Biswas Author 4: Md. Mahbubur Rahman Author 5: Anup Majumder Author 6: Md. Ezharul Islam

Optical Character Recognition (OCR) technology is very helpful for visually impaired or illiterate persons who are unable to read text documents but need to reach the content of the text documents. In this paper, a camera-based assistive device is used that can be applied for visually impaired or illiterate people… Read full abstract & cite →

Optical character recognition Bangla text speech conversion Raspberry Pi camera module
37

IoT Enabled Air Quality Monitoring for Health-Aware Commuting Recommendation in Smart Cities

Author 1: Riaz UlAmin Author 2: Muhammad Akram Author 3: Najeeb Ullah Author 4: Muhammad Ashraf Author 5: Abdul Sattar Malik

The importance of air pollution control in smart cities has been realized by almost every department of society. Research community has been working in collaboration with industry to craft sensors for measuring different types of pollution levels in the environment. However, it is rarely possible to implant the sensors in… Read full abstract & cite →

Un-planned Areas Vehicular ad hoc Networks Pollution Monitoring AQI Health Aware Commuting Recommendations
38

ER Model Partitioning: Towards Trustworthy Automated Systems Development

Author 1: Dhammika Pieris Author 2: M. C Wijegunesekera Author 3: N. G. J Dias

In database development, a conceptual model is created, in the form of an Entity-relationship (ER) model, and transformed to a relational database schema (RDS) to create the database. However, some important information represented on the ER model may not be transformed and represented on the RDS. This situation causes a… Read full abstract & cite →

Conceptual model Entity Relationship (ER) model relational database schema information preservation transformation
39

Generic Framework Architecture for Verifying Embedded Components

Author 1: Lamia ELJADIRI Author 2: Ismail ASSAYAD

This dissertation presents a framework for the formal verification of standard embedded components such us bus protocol, microprocessor, memory blocks, various IP blocks, and a software component. It includes a model checking of embedded systems components. The algorithms are modeled on SystemC and transformed on Promela language (PROcess or PROtocol… Read full abstract & cite →

Algorithms automation embedded components embedded systems formal verification framework LTL properties Promela SystemC SysVerPml system design
40

Architectural Proposal for a Syllabus Management System using the ISO/IEC/IEEE 42010

Author 1: Anthony Meza-Luque Author 2: Alvaro Fernández Del Carpio Author 3: Karina Rosas Paredes Author 4: Jose Sulla-Torres

The efficiency in the academic and administrative procedures of higher education clearly marks competitive advantage in aspects of quality, which consists in the continuous improvement and improvement for the achievement of educational objectives. In our institution, the syllabus treatment is currently carried out manually, delaying many educational processes. Therefore, it… Read full abstract & cite →

Management architecture software syllabus skills ISO/IEC IEEE 42010
41

Preparing Graduates with Digital Literacy Skills Toward Fulfilling Employability Need in 4IR Era: A Review

Author 1: Khuraisah MN Author 2: Fariza Khalid Author 3: Hazrati Husnin

This systematic review aims to review and synthesize employer expectations towards digital skills among graduates, steps, and measurements taken by higher education institutions to prepare students and harness motivation among students to make themselves competitive and marketable toward fulfilling employability needs in 4IR era. It was designed based on the… Read full abstract & cite →

Digital literacy computer literacy information literacy employability
42

A Comparative Study of Eight Crossover Operators for the Maximum Scatter Travelling Salesman Problem

Author 1: Zakir Hussain Ahmed

The maximum scatter traveling salesman problem (MSTSP), a variation of the famous travelling salesman problem (TSP), is considered here for our study. The aim of problem is to maximize the minimum edge in a salesman’s tour that visits each city exactly once in a network. It is proved be NP-hard… Read full abstract & cite →

Traveling salesman problem maximum scatter genetic algorithms crossover operators sequential constructive crossover
43

Review on Personality Types and Learning Styles in Team-based Learning for Information Systems Students

Author 1: Muhammad Zul Aiman Zulkifli Author 2: K.S. Savita Author 3: Noreen Izza Arshad

Team-based learning (TBL) has become a preferable method in learning approach at higher educational level. There are a lot of articles that discussed on the benefits and process of implementation of team-based learning but lack of studies that focus on the composition of members in team-based learning and effects of… Read full abstract & cite →

Team-based learning personality type learning style undergraduate students
44

Data Fusion-Link Prediction for Evolutionary Network with Deep Reinforcement Learning

Author 1: Marcus Lim Author 2: Azween Abdullah Author 3: NZ Jhanjhi

The sophistication of covert activities employed by criminal networks with technology has been proven to be very challenging for criminal enforcement fraternity to cripple their activities. In view of this, law enforcement agencies need to be equipped with criminal network analysis (CNA) technology which can provide advanced and comprehensive intelligence… Read full abstract & cite →

Metadata time-series network social network analysis criminal network deep reinforcement learning
45

Underwater Wireless Sensor Network Route Optimization using BIHH Technique

Author 1: Turki Ali Alghamdi

Underwater wireless sensor network (UWSN) is established in water bodies such as oceans, seas and rivers to observe the activity of military, to perform rescue operations and to do mining activity of resources. The sensor nodes communicate through acoustic channels. These nodes have limited battery life (energy), narrow bandwidth and… Read full abstract & cite →

Sensor nodes energy routing black hole hamming code hex code
46

Application of Homomorphic Encryption on Neural Network in Prediction of Acute Lymphoid Leukemia

Author 1: Ishfaque Qamar Khilji Author 2: Kamonashish Saha Author 3: Jushan Amin Shonon Author 4: Muhammad Iqbal Hossain

Machine learning is now becoming a widely used mechanism and applying it in certain sensitive fields like medical and financial data has only made things easier. Accurate Diagnosis of cancer is essential in treating it properly. Medical tests regarding cancer in recent times are quite expensive and not available in… Read full abstract & cite →

CryptoNets neural network Acute Lymphoid Leukemia (ALL) homomorphic
47

On the Digital Applications in the Thematic Literature Studies of Emily Dickinson’s Poetry

Author 1: Abdulfattah Omar

Thematic studies in literature have traditionally been based on philological methods supported by personal knowledge and evaluation of the texts. A major problem with studies in this tradition is that they are not objective or replicable. With the development of digital technologies and applications, it is now possible for theme… Read full abstract & cite →

Cluster analysis digital applications Emily Dickinson lexical content philological methods thematic studies Vector Space Model (VSM)
48

Situational Modern Code Review Framework to Support Individual Sustainability of Software Engineers

Author 1: Sumaira Nazir Author 2: Nargis Fatima Author 3: Suriayati Chuprat

Modern Code Review (MCR) is a socio-technical practice to improve source code quality and ensure successful software development. It involves the interaction of software engineers from different cultures and backgrounds. As a result, a variety of unknown situational factors arise that impact the individual sustainability of MCR team members and… Read full abstract & cite →

Situations situational factors Modern Code Review (MCR) sustainable software engineer situational software engineering
49

Solving Travelling Salesman Problem (TSP) by Hybrid Genetic Algorithm (HGA)

Author 1: Ali Mohammad Hussein Al-Ibrahim

The Traveling Salesman Problem (TSP) is easy to qualify and describe but difficult and very hard to be solved. There is known algorithm that can solve it and find the ideal outcome in polynomial time, so it is NP-Complete problem. The Traveling Salesman Problem (TSP) is related to many others… Read full abstract & cite →

Traveling Salesman Problem (TSP) NP-Complete problem genetic algorithms local Search algorithm crossover mechanism neighboring solution algorithm
50

Efficiency and Performance of Optimized Robust Controllers in Hydraulic System

Author 1: Chong Chee Soon Author 2: Rozaimi Ghazali Author 3: Shin Horng Chong Author 4: Chai Mau Shern Author 5: Yahaya Md. Sam Author 6: Zulfatman Has

Common applications involved hydraulic system in real-time including heavy machinery, air-craft system, and transportation. Real-time applications, however, are notorious to suffered with nonlinearities due to unavoidable mechanical structures. Thus, control system engaged to manipulate and minimize the effect resulting from the nonlinearities. In this paper, few control approaches are executed… Read full abstract & cite →

Robust Control Design optimization tracking efficiency analysis controller effort analysis electro-hydraulic actuator system
51

Automation of Traditional Exam Invigilation using CCTV and Bio-Metric

Author 1: MD Jiabul Hoque Author 2: Md. Razu Ahmed Author 3: Md. Jashim Uddin Author 4: Muhammad Mostafa Amir Faisal

In education, whilst e-learning has been playing a significant role over the last few years due to its flexibility and remote-based education system, majority of courses are still relying upon traditional approaches of learning due to the lack of integrity and security of online based examinations and assessments in e-learning… Read full abstract & cite →

Automation in invigilation bio-metric authentication CCTV monitoring e-assessment Parallax Data Acquisition Tool (PLX-DAQ) traditional invigilation
52

Usability Evaluation of Open Source Learning Management Systems

Author 1: Seren Basaran Author 2: Rafia Khalleefah Hamad Mohammed

Advancements in Information and Communications Technology has enabled learning to be conducted online frequently through Learning Management Systems (LMS). The use of Learning Management Systems (LMS) as tools for learning in the present Internet age is seen as an important solution to remedy major problems particularly faced by higher education… Read full abstract & cite →

E-learning ISO/IEC 9126 learning management systems quality model usability evaluation
53

Evaluation Criteria for RDF Triplestores with an Application to Allegrograph

Author 1: Khadija Alaoui Author 2: Mohamed Bahaj

Since its launching as the standard language of the semantic web, the Resource Description Framework RDF has gained an enormous importance in many fields. This has led to the appearance of a variety of data systems to store and process RDF data. To help users identify the best suited RDF… Read full abstract & cite →

RDF RDFS SPARQL triplestore big data NoSQL AllegroGraph
54

A Review on Honeypot-based Botnet Detection Models for Smart Factory

Author 1: Lee Seungjin Author 2: Azween Abdullah Author 3: NZ Jhanjhi

Since the Swiss Davos Forum in January 2017, the most searched keywords related to the Fourth Revolutionary Industry are AI technology, big data, and IoT. In particular, the manufacturing industry seeks to advance information and communication technology (ICT) to build a smart factory that integrates the management of production processes… Read full abstract & cite →

IoT smart factory honeypot Botnets detection security model
55

Routing Protocol based on Floyd-Warshall Algorithm Allowing Maximization of Throughput

Author 1: Kohei Arai

Routing protocol based on Floyd-Warshall algorithm which allows maximization of throughput is proposed. The metric function in the proposed routing protocol is throughput including not only send packets but also retransmission packets in order for improving effectiveness and efficiency of the network in concern. Through simulation studies, it is found… Read full abstract & cite →

Network routing protocol virtual private network autonomous system open shortest path first Floyd-Warshall algorithm Dijkstra algorithm throughput
56

Knowledge Sharing Framework for Modern Code Review to Diminish Software Engineering Waste

Author 1: Nargis Fatima Author 2: Sumaira Nazir Author 3: Suriayati Chuprat

Modern Code Review (MCR) is a quality assurance technique that involves massive interactions between team members of MCR. Presently team members of MCR are confronting with the problem of waiting waste production, which results in their psychological distress and project delays. Therefore, the MCR team needs to have effective knowledge… Read full abstract & cite →

Knowledge sharing modern code review software engineering wastes waiting waste lean software development
57

A Framework for Semantic Text Clustering

Author 1: Soukaina Fatimi Author 2: Chama EL Saili Author 3: Larbi Alaoui

Existing approaches for text clustering are either agglomerative, divisive or based on frequent itemsets. However, most of the suggested solutions do not take the semantic associations between words into account and documents are only regarded as bags of unrelated words. Indeed, traditional text clustering methods usually focus on the frequency… Read full abstract & cite →

Text clustering similarity measure ontology semantic web RDF RDFS OWL reasoning inferencing rules SPARQL topic modeling summarization
58

Comparitive Study of Time Series and Deep Learning Algorithms for Stock Price Prediction

Author 1: Santosh Ambaprasad Sivapurapu

Stock Price Prediction has always been an intriguing research problem in financial domain. In the past decade, various methodologies based on classical time series, machine learning, deep learning and hybrid models which constitute the combinations of algorithms have been proposed with reasonable effectiveness in predicting the stock price. There is… Read full abstract & cite →

Time series deep learning ARIMA VAR LSTM GRU CNN 1D genetic algorithm Tree Structured Parzen Estimator (TPE)
59

Enhanced Insertion Sort by Threshold Swapping

Author 1: Basima Elshqeirat Author 2: Muhyidean Altarawneh Author 3: Ahmad Aloqaily

Sorting is an essential operation that takes place in arranging data in a specific order, such as ascending or descending with numeric and alphabetic data. There are various sorting algorithms for each situation. For applications that have incremental data and require e an adaptive sorting algorithm, the insertion sort algorithm… Read full abstract & cite →

Sorting design of algorithm insertion sort enhanced insertion sort threshold swapping
60

A Comparison of Data Sampling Techniques for Credit Card Fraud Detection

Author 1: Abdulla Muaz Author 2: Manoj Jayabalan Author 3: Vinesh Thiruchelvam

Credit Card fraud is a tough reality that continues to constrain the financial sector and its detrimental effects are felt across the entire financial market. Criminals are continuously on the lookout for ingenious methods for such fraudulent activities and are a real threat to security. Therefore, there is a need… Read full abstract & cite →

Data imbalance credit card fraud sampling techniques
61

Usability Evaluation of a Tangible User Interface and Serious Game for Identification of Cognitive Deficiencies in Preschool Children

Author 1: Sánchez-Morales. A Author 2: Durand-Rivera J.A Author 3: Martínez-González C.L

Detecting deficits in reading and writing literacy skills has been of great interest in the scientific community to correlate executive functions with future academic skills. In the present study, a prototype of a serious multimedia runner-type game was developed, Play with SID, designed to detect deficiencies in cognitive abilities in… Read full abstract & cite →

User interface wizard of Oz usability HCI input device
62

Comparative Analytics of Classifiers on Resampled Datasets for Pregnancy Outcome Prediction

Author 1: Udoinyang G. Inyang Author 2: Francis B. Osang Author 3: Imo J. Eyoh Author 4: Adenrele A. Afolorunso Author 5: Chukwudi O. Nwokoro

The main challenges of predictive analytics revolve around the handling of datasets, especially the disproportionate distribution of instances among classes in addition to classifier-suitability issues. This unequal spread causes imbalance learning and severely obstructs prediction accuracy. In this paper, the performances of six classifiers and the effect of data balancing… Read full abstract & cite →

Imbalance learning pregnancy outcome random forest SMOTE imbalance data
63

Neuro-fuzzy System with Particle Swarm Optimization for Classification of Physical Fitness in School Children

Author 1: Jose Sulla-Torres Author 2: Gonzalo Luna-Luza Author 3: Doris Ccama-Yana Author 4: Juan Gallegos-Valdivia Author 5: Marco Cossio-Bolaños

Physical fitness is widely known to be one of the critical elements of a healthy life. The sedentary attitude of school children is related to some health problems due to physical inactivity. The following article aims to classify the physical fitness in school children, using a database of 1813 children… Read full abstract & cite →

Classification ANFIS particle swarm optimization physical fitness RMSE
64

An Efficient Classifier using Machine Learning Technique for Individual Action Identification

Author 1: G. L. Sravanthi Author 2: M.Vasumathi Devi Author 3: K.Satya Sandeep Author 4: A.Naresh Author 5: A.Peda Gopi

Human action recognition is an important branch of computer vision and is getting increasing attention from researchers. It has been applied in many areas including surveillance, healthcare, sports and computer games. This proposed work focuses on designing a human action recognition system for a human interaction dataset. Literature research is… Read full abstract & cite →

Human action recognition machine learning neural networks
65

A Survey on Detection and Prevention of Web Vulnerabilities

Author 1: Muhammad Noman Author 2: Muhammad Iqbal Author 3: Amir Manzoor

The Internet provides a vast range of benefits to society and empowers the users in a variety of ways to use web applications. Simply, the internet has become the most transformative and fast-growing technology ever built, but it also brings new security challenges to web services in internet applications because… Read full abstract & cite →

Web security survey web vulnerabilities detection and prevention techniques
66

Data Warehouse System for Multidimensional Analysis of Tuition Fee Level in Higher Education Institutions in Indonesia

Author 1: Ardhian Agung Yulianto Author 2: Yoshiya Kasahara

In this study, we developed a data warehouse (DW) system for tuition-fee-level management for higher education institutions (HEI) in Indonesia. The system was developed to provide sufficient information to the administrators for decision making of tuition fees of applicants by integrating multisource data. A simple but sufficient method was introduced… Read full abstract & cite →

Data warehouse higher education institution multidimensional analysis Indonesia tuition-fee-level management
67

Signature based Network Intrusion Detection System using Feature Selection on Android

Author 1: Onyedeke Obinna Cyril Author 2: Taoufik Elmissaoui Author 3: Okoronkwo M.C Author 4: Ihedioha Uchechi .M Author 5: Chikodili H.Ugwuishiwu Author 6: Okwume .B. Onyebuchi

This paper Smart Intrusion Detection System (IDS), is a contribution to efforts towards detecting intrusion and malicious activities on Android phone. The goal of this paper is to raise user’s awareness of the high rate of intrusions or malicious activities on Android phones and to provide counter measure system for… Read full abstract & cite →

Signature Detection Feature Selection android phone Smart Intrusion Detection System (SIDS)
68

Hybrid Machine Learning: A Tool to Detect Phishing Attacks in Communication Networks

Author 1: Ademola Philip Abidoye Author 2: Boniface Kabaso

Phishing is a cyber-attack that uses disguised email as a weapon and has been on the rise in recent times. Innocent Internet users if peradventure clicking on a fraudulent link may cause him to fall victim to divulging his personal information such as credit card PIN, login credentials, banking information… Read full abstract & cite →

Phishing attack data sets URL classification phishing URL attackers machine learning classifiers Internet
69

Enhanced Pre-processing and Parameterization Process of Generic Code Clone Detection Model for Clones in Java Applications

Author 1: Nur Nadzirah Mokhtar Author 2: Al-Fahim Mubarak-Ali Author 3: Mohd Azwan Mohamad Hamza

Code clones are repeated source code in a program. There are four types of code clone which are: Type 1, Type 2, Type 3 and Type 4. Various code clone detection models have been used to detect code clone. Generic Code Clone model is a model that consists of a… Read full abstract & cite →

Code clone code clone detection model java applications computational intelligence
70

Improving Intrusion Detection System using Artificial Neural Network

Author 1: Marwan Ali Albahar Author 2: Muhammad Binsawad Author 3: Jameel Almalki Author 4: Sherif El-etriby Author 5: Sami Karali

Currently, network communication is more suscep-tible to different forms of attacks due to its expanded usage, accessibility, and complexity in most areas, consequently imposing greater security risks. One method to halt attacks is to identify different forms of irregularities in the data transmitted and processed during communication. Detection of anomalies… Read full abstract & cite →

New regularizer anomaly detection NSL-KDD dataset CIDDS-001 dataset UNSW-NB15
71

Successive Texture and Shape based Active Contours for Train Bogie Part Segmentation in Rolling Stock Videos

Author 1: Kaja Krishnamohan Author 2: Ch.Raghava Prasad Author 3: P.V.V.Kishore

Train Rolling Stock Examination (TRSE) is a pro-cedure for checking damages in the undercarriage of a moving train at 30kmph. The undercarriage of a train is called bogie according to railway manuals. Traditionally, TRSE is performed manually by set of highly skilled personnel of the railway near to the train… Read full abstract & cite →

Automation of Train Rolling Stock Examination level sets shape priors texture priors export system models
72

Exerting 2D-Space of Sentiment Lexicons with Machine Learning Techniques: A Hybrid Approach for Sentiment Analysis

Author 1: Muhammad Yaseen Khan Author 2: Khurum Nazir Junejo

Sentiment mining from the textual content on the web can give valuable insights for discernment, strategic decision making, targeted advertisement, and much more. Supervised machine learning (ML) approaches do not capture the sentiment inherent in the individual terms. Whereas the unsupervised sen-timent lexicon (SL) based approaches lag behind ML approaches… Read full abstract & cite →

Hybrid approach machine learning sentiment analysis sentiment lexicons sentiment space social media analysis
73

Capsule Network for Cyberthreat Detection

Author 1: Sahar Altalhi Author 2: Maysoon Abulkhair Author 3: Entisar Alkayal

In cybersecurity, analyzing social network data has become an essential research area due to its property of providing real-time updates about real-world events. Studies have shown that Twitter can contain information about security threats before some specialized sites. Thus, the classification of tweets into security-related and not security-related can help… Read full abstract & cite →

Capsule network dynamic routing deep learning Twitter text analysis attack detection
74

Estimating the Causes of Poor Academic Performance of Students: A Case Study

Author 1: Juwesh Binong

Poor academic performance of students is not the only concern for parents and teachers, but also a concern for the country as a whole. This paper makes an attempt to identify the cause(s) of poor academic achievement. This paper presents a method of identifying the most influencing factor on academic… Read full abstract & cite →

Academic performance qualitative rating factors correlation coefficient analytic hierarchy process
75

Sensing of Environmental Variables for the Analysis of Indoor Air Pollution

Author 1: Jaime Xilot Author 2: Guillermo Molero-Castillo Author 3: Edgard Benitez-Guerrero Author 4: Everardo Barcenas

Ambient intelligence systems try to perceive the environment and react, proactively and pervasively to improve peoples environmental conditions. A current challenge in Ambient intelligence is trying to mitigate environmental risks that affect global public health, such as increasing air pollution. This paper presents the analysis of some environmental variables related… Read full abstract & cite →

Air pollution Ambient Intelligence (AmI) indoor air quality wireless sensor network
76

Future of the Internet of Things Emerging with Blockchain and Smart Contracts

Author 1: Mir Hassan Author 2: Chen Jincai Author 3: Adnan Iftekhar Author 4: Xiaohui Cui

The Internet of Things (IoT) has the potential to change the way the world works from home automation to smart cities, from improved healthcare to an efficient management sys-tem in supply chains to industry 4.0 revolution. IoT is increasingly becoming an essential part of the homes and industrial automa-tion; nevertheless… Read full abstract & cite →

Internet of Things (IoT) blockchain smart con-tracts peer-to-peer security
77

News Aggregator and Efficient Summarization System

Author 1: Alaa Mohamed Author 2: Marwan Ibrahim Author 3: Mayar Yasser Author 4: Mohamed Ayman Author 5: Menna Gamil Author 6: Walaa Hassan

News Aggregator is simply an online software which collects new stories and events around the world from various sources all in one place. News aggregator plays a very important role in reducing time consumption, as all of the news that would be explored through more than one website will be… Read full abstract & cite →

News aggregator text summarization text enhance-ment textRank algorithm
78

Acoustic Frequency Optimization for Underwater Wireless Sensor Network

Author 1: Emad Felemban

In recent years, research in Underwater Wireless Sensor Network (UWSN) was the interest of many research groups as it can be used for many important applications such as disaster management, marine environment monitoring, fish farming, and military surveillance. There are many challenges in underwater acoustic communication: strong signal attenuation, limited… Read full abstract & cite →

Underwater Wireless Sensor Network (UWSN) acoustic signal mathematical modeling optimization noise level optimal frequency
79

Automated Recognition of Sincere Apologies from Acoustics of Speech

Author 1: Zafi Sherhan Syed Author 2: Muhammad Shehram Shah Author 3: Abbas Shah Syed

Sincerity is an important characteristic of communicative behavior which represents an honest, truthful, and genuine display of verbal and non-verbal expressions. Individuals who are deemed sincere often appear more charismatic and can influence a large number of people. In this paper, we propose a multi-model fusion framework to identify sincerely… Read full abstract & cite →

Sincerity affective computing social signal processing
80

Document Classification Method based on Graphs and Concepts of Non-rigid 3D Models Approach

Author 1: Lorena Castillo Galdos Author 2: Cristian Lopez Del Alamo Author 3: Grimaldo D´avila Guill´en

Text document classification is an important re-search topic in the field of information retrieval, and so it is how we represent the information extracted from the documents to be classified. There exists document classification methods and tech-niques based on the vector space model, which doesn’t capture the relation between words… Read full abstract & cite →

Document classification graphs non-rigid 3D mod-els Universidad Nacional de San Agust´in de Arequipa (UNSA)
81

Predicting Number of Hospital Appointments When No Data Is Available

Author 1: Harold Caceres Author 2: Nelson Fuentes Author 3: Julio Aguilar Author 4: Cesar Baluarte Author 5: Karim Guevara Author 6: Eveling Castro-Gutierrez Author 7: Omar U. Florez

Usually, in a hospital, the data generated by each department or section is treated in isolation, believing that there is no relationship between them. It is thought that while one department is in high demand, it can not influence that another may have the same demand or not have any… Read full abstract & cite →

Multi linear Regression hospital appointments ma-chine learning correlation matrix
82

Road Damage Detection Utilizing Convolution Neural Network and Principal Component Analysis

Author 1: Elizabeth Endri Author 2: Alaa Sheta Author 3: Hamza Turabieh

Roads should always be in a reliable con-dition and maintained regularly. One of the problems that should be maintained well is the pavement cracks problem. This a challenging problem that faces road engineers, since maintaining roads in a stable condition is needed for both drivers and pedestrians. Many meth-ods have… Read full abstract & cite →

Pavement crack Convolutional Neural Network (CNN) Principal Component Analysis (PCA)
83

Automatic Building Change Detection on Aerial Images using Convolutional Neural Networks and Handcrafted Features

Author 1: Diego Alonso Javier Quispe Author 2: Jose Sulla-Torres

In this article, we present a new framework to solve the task of building change detection, making use of a convolutional neural network (CNN) for the building detection step, and a set of handcrafted features extraction for the change detection. The buildings are extracted using the method called Mask R-CNN… Read full abstract & cite →

Bi-temporal images convolutional neural network (CNN) building detection building change detection Mask R-CNN
84

ParaCom: An IoT based Affordable Solution Enabling People with Limited Mobility to Interact with Machines

Author 1: Siddharth Sekar Author 2: Nirmit Agarwal Author 3: Vedant Bapodra

There are many people in this world who don’t have the ability to communicate with others due to some unforeseen accident. Users who are paralyzed and/or suffering from different Motor Neuron Diseases (MND) like Amyotrophic Lateral Sclerosis (ALS), Primary Lateral Sclerosis etc, by making them more independent. Patients suffering from… Read full abstract & cite →

Internet of Things (IoT) Motor Neuron Disease (MND) Amyotrophic Lateral Sclerosis (ALS) Arduino
85

Security of a New Hybrid Ciphering System

Author 1: Mohammed BOUGRINE Author 2: Fouzia OMARY Author 3: Salima TRICHNI

The protection of privacy is a very sensitive subject and comes into force in all areas. They represent the first priority in the development of new technologies. In fact, opt for a new Big data or IOT technology is a very difficult decision for organizations and calls into question the… Read full abstract & cite →

Security confidentiality hybrid encryption evolutionary algorithms symmetrical encryption cryptography
86

Factors Influencing Practice of Human Resource Information System in Organizations: A Hybrid Approach of AHP and DEMATEL

Author 1: Abdul Kadar Muhammad Masum Author 2: Faisal Bin Abid Author 3: ABM Yasir Arafat Author 4: Loo-See Beh

This paper blends the development of the Technology-Organization-Environment (TOE) framework and Human-Organization-Technology (HOT) fit model to identify the factors that influence the administration choice in embracing human resource information system (HRIS) in the organizations. Here, a hybrid Multi-Criteria Decision Making (MCDM) model combining the Decision Making Trial and Evaluation Laboratory… Read full abstract & cite →

Analytic Hierarchy Processes (AHP) Decision Making Trial and Evaluation Laboratory (DEMATEL) factor Human Resource Information System (HRIS) Multi-Criteria Decision Making (MCDM) Model
87

A Review on Virtual Machine Positioning and Consolidation Strategies for Energy Efficiency in Cloud Data Centers

Author 1: Nahuru Ado Sabongari Author 2: Abdulsalam Ya’u Gital Author 3: Souley Boukari Author 4: Badamasi Ja’afaru Author 5: Muhammad Auwal Ahmed Author 6: Haruna Chiroma

The cloud data center consumes massively more and more energy which is considered inacceptable. Therefore further efforts are needed to improve the energy efficiency of such data centers by using Server Consolidation to minimize the number of Active Physical Machines (APMs) in a data center setting. Strategies for positioning and… Read full abstract & cite →

Energy efficiency optimization cloud data centers

Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026