Asian Journal of Computer and Information Systems
type: channel
description: Asian Journal of Computer and Information Systems (AJCIS) ISSN (Online): 2321-5658
publisher: Asian Online Journals
language: en
publication name: Asian Journal of Computer and Information Systems
issn: 2321-5658
copyright: Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher. It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval. The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa). Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.
items: Re-imagining Supply Chain Management through Blockchain Technology for Sustainable Practices
items: A Review of Knowledge-Based Interventions for Mental Health Self-Management
items: An Empirical Comparison of Machine Learning Models for Student’s Mental Health Illness Assessment
items: Utilisation of Machine Learning Techniques in Testing and Training of Different Medical Datasets
items: Three-Layer Access Control Integrated with Policy Enforcement Point
items: Task Scheduling Management for Load Balancing Using Task Grouping Based on Cloud Computing
items: Software Functional Complexity Using a New Set of Criteria
items: https://ajouronline.com/index.php/AJCIS/article/view/6489
items: Credit Card Fraud Detection in Payment Using Machine Learning Classifiers
items: A Hybrid Relational Database Model for Uncertain and Imprecise Information
items: Character Segmentation Of Degraded Odia Script
items: Analysis of Mobile App Revenue Models Used in the most Popular Games of the Tower Defense Genre on Google Play
items: Adaptive Electrocardiogram Steganography Based on 2D Approach with Predetermined Rules
items: Ergonomics and Ergonomic Analysis of Driving Education System by Personal Car-2
items: Information Security: Awareness and Training Program in the Middle East Universities
items: Postgraduate Students’ Acceptance of On-line Databases: A Validation of UTAUT Model in Selected Universities in Nigeria.
items: Application of the ITIL Method for Management in Practice
items: Ergonomics and Ergonomic Analysis of Driving Education System by Personal Car with Supporting ITÂ Â
items: Multithread Affinity Scheduling Using a Decision Maker
items: Evaluation of the Development Framework Jasonette
items: Decision Fusion based Person Identification System using Fingerprints and Facial Image with Template Matching
items: A Data Exchange Interoperability Framework for eHealth Applications in Ethiopia
items: Adoption and Implementation of Health Information System in Limited Resource Setting: A Survey on User Experience Perspective
items: System Configuration and Error Performance of Spectral Amplitude Coding Labels in Multi-Rate Optical MPLS Network
items: Factors Influencing People’s Intention to Adopt E-Banking: An Empirical Study of Consumers in Shandong Province, China
items: Framework for Enhancement Performance of Heterogeneous System via Social Network Analysis
items: Personal Computer Usage and Security Threats in the New Juaben Municipality, Ghana
items: Multi-Radio Platform for WBAN MAC Protocol
items: After IT Outsourcing: An Exploratory Research of an Agency of Taiwan from the Perspectives of IT Personnel’s Ability and IT Budget Allocation _
items: A Study of Young Taiwanese Consumers’ Attitude toward Internet Transnational Surrogate Buyer Service: Perspectives from Merchandise Attribute, Consumers’ Perceived Result and Characteristics

Re-imagining Supply Chain Management through Blockchain Technology for Sustainable Practices
type: item
description: Introduction: Blockchain technology has emerged as a transformative tool with the potential to revolutionize various industries, including supply chain management. By leveraging blockchain technology, organizations can enhance transparency, traceability, and efficiency in their supply chains while also promoting sustainability practices. This research aims to explore the integration of blockchain technology into supply chain management to drive sustainable initiatives and address environmental and social challenges. Methodology : The research design for this comprehensive review adopts a systematic and structured approach to gather, analyze, and synthesize existing literature on the application of blockchain technology in sustainable supply chains. A qualitative research design is employed to provide in-depth insights into the principles, features, and practical implementations of blockchain in the context of sustainable supply chain management. Result: Blockchain technology is a decentralized and distribute ledger system that enables secure and transparent transactions across a network of computers. In the context of supply chain management, blockchain can be utilized to create an immutable record of transactions, product movements, and data exchanges. This transparency helps to build trust among stakeholders and ensures the authenticity and integrity of information shared within the supply chain. Sustainability has become a critical focus for businesses looking to reduce their environmental impact, improve social responsibility, and meet regulatory requirements. By integrating blockchain technology into supply chain management practices, organizations can enhance sustainability efforts in several ways: Blockchain enables end-to-end traceability by recording every transaction and movement of products along the supply chain; this transparency allows companies to track the origin of raw materials, monitor production processes, and verify ethical sourcing practices; b…
subject: Articles
  topic: section
subject: Blockchain Technology, Supply Chain Management, Sustainable Practices
  topic: keywords
subject: Information Science
  topic: disciplines
creator: Tamirat Kore
creator: Abebe Rorissa
creator: Getachew Mamo
rights: Copyright (c) 2025 Tamirat Kore, Abebe Rorissa, Getachew Mamo https://creativecommons.org/licenses/by-nc/4.0
date: 2025-04-05
publication date: 2025-04-05
doi: 10.24203/fsstvw20

A Review of Knowledge-Based Interventions for Mental Health Self-Management
type: item
description: Mental health disorders have affected people's everyday lives globally, showing rapid growth. Effective detection, diagnosis, and treatment of MSDs can occur by utilizing increasingly substantial amounts of available health data from diverse sources. However, there are many challenges in developing effective treatment models for this condition. The challenges are further complicated by the volume, heterogeneity, interoperability, propagation, and complexity of data, especially with the emergence of big data. Knowledge management and knowledge-based systems have significantly impacted healthcare quality and delivery, especially patient self-management. In this work, we review knowledge-based applications for mental health self-management. The research efforts are synthesized, discussing shortcomings and future research directions.
subject: Articles
  topic: section
subject: knowledge base
  topic: keywords
subject: mental health
  topic: keywords
subject: semantic network
  topic: keywords
subject: conversational agents
  topic: keywords
creator: Sena Okuboyejo
rights: Copyright (c) 2025 Sena Okuboyejo https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-20
publication date: 2024-12-20
doi: 10.24203/fj1ybg65

An Empirical Comparison of Machine Learning Models for Student’s Mental Health Illness Assessment
type: item
description: Student’s mental health problems have been explored previously in higher education literature in various contexts including empirical work involving quantitative and qualitative methods. Nevertheless, comparatively few research could be found, aiming for computational methods that learn information directly from data without relying on set parameters for a predetermined equation as an analytical method. This study aims to investigate the performance of Machine learning (ML) models used in higher education. ML models considered are Naïve Bayes, Support Vector Machine, K-Nearest Neighbor, Logistic Regression, Stochastic Gradient Descent, Decision Tree, Random Forest, XGBoost (Extreme Gradient Boosting Decision Tree), and NGBoost (Natural) algorithm. Considering the factors of mental health illness among students, we follow three phases of data processing: segmentation, feature extraction, and classification. We evaluate these ML models against classification performance metrics such as accuracy, precision, recall, F1 score, and predicted run time. The empirical analysis includes two contributions: 1. It examines the performance of various ML models on a survey-based educational dataset, inferring a significant classification performance by a tree-based XGBoost algorithm; 2. It explores the feature importance [variables] from the datasets to infer the significant importance of social support, learning environment, and childhood adversities on a student’s mental health illness.
subject: Articles
  topic: section
subject: Student’s mental health illness
  topic: keywords
subject: Machine learning
  topic: keywords
subject: Feature importance
  topic: keywords
creator: Prathamesh Muzumdar
creator: Ganga Prasad Basyal
creator: Piyush Vyas
rights: Copyright (c) 2022 Prathamesh Muzumdar, Ganga Prasad Basyal, Piyush Vyas https://creativecommons.org/licenses/by-nc/4.0
date: 2022-02-27
publication date: 2022-02-27
doi: 10.24203/ajcis.v10i1.6882

Utilisation of Machine Learning Techniques in Testing and Training of Different Medical Datasets
type: item
description: On our planet, chemical waste increases day after day, the emergence of new types of it, as well as the high level of toxic pollution, the difficulty of daily life, the increase in the psychological state of humans, and other factors all have led to the emergence of many diseases that affect humans, including deadly once like COVID-19 disease. Symptoms may appear on a person, and sometimes they may not; some people may know their condition, and others may neglect their health status due to lack of knowledge that may lead to death, or the disease may be chronic for life. In this regard, the author executes machine learning techniques (Support Vector Machine, C5.0 Decision Tree, K-Nearest Neighbours, and Random Forest) due to their influence in medical sciences to identify the best technique that gives the highest level of accuracy in detecting diseases. Thus, this technique will help to recognise symptoms and diagnose them correctly. This article covers a dataset from the UCI machine learning repository, namely the Wisconsin Breast Cancer dataset, Chronic Kidney disease dataset, Immunotherapy dataset, Cryotherapy dataset, Hepatitis dataset and COVID-19 dataset. In the results section, a comparison is made between the execution of each technique to find out which one is the best and which one is the worst in the performance of analysis related to the dataset of each disease.
subject: Articles
  topic: section
subject: Disease
  topic: keywords
subject: Machine Learning Techniques
  topic: keywords
subject: COVID-19
  topic: keywords
subject: Symptoms
  topic: keywords
subject: Medical Datasets
  topic: keywords
creator: Maad M. Mijwil
creator: Israa Ezzat Salem
creator: Rana A. Abttan
rights: Copyright (c) 2021 Maad M. Mijwil, Israa Ezzat Salem, Rana A. Abttan https://creativecommons.org/licenses/by-nc/4.0
date: 2021-11-03
publication date: 2021-11-03
doi: 10.24203/ajcis.v9i4.6765

Three-Layer Access Control Integrated with Policy Enforcement Point
type: item
description: Cloud computing reflects significant risks which is associated with federal agencies and regulations. Any vulnerability that is initiated in the software or platform of the vendors will lead to the leakage of the data, as information may be related to more than one organization. Likewise, next generation solution provide assistance to the legacy system along with the provision of robust, elastic and low cost knowledge based tools of deeper exploration and understanding for processing massive data right to the end users. Moreover, the next generation solution business analytics provides in depth understanding of company clientele and product presentation
subject: Articles
  topic: section
subject: Cloud Computing
  topic: keywords
subject: Security
  topic: keywords
subject: Distributed Systems
  topic: keywords
subject: Network Systems.
  topic: keywords
creator: Nader Shahata
rights: Copyright (c) 2025 Nader Shahata https://creativecommons.org/licenses/by-nc/4.0
date: 2025-02-06
publication date: 2025-02-06
doi: 10.24203/hm10s210

Task Scheduling Management for Load Balancing Using Task Grouping Based on Cloud Computing
type: item
description: Managing task scheduling management in cloud computing is an essential part for the landscape of complex procedure tasks based on various resources in a proficient and scalable path. The aim of this research is to dynamically optimize the aforesaid issue of task scheduling. The task management improvises the imperfection algorithm by pursue on weighted fair queuing model, which is significantly effective compared to the existing method. A task scheduling model has been created to demonstrate the proposed scheduler management. Study shows the improvement in the adaptation of round robin and shortest job first algorithm performing better than the existing algorithm according to the differentiate execution measurements such as, turnaround time, task size and average waiting time. In addition, context switches play an important role in algorithm by sharing between multiple tasks and running task in the scheduler. Altogether, a significant improvement between existing algorithm and proposed studies follows up accordingly to a specific context switching takes place.
subject: Articles
  topic: section
subject: Scheduling
  topic: keywords
subject: cloud computing
  topic: keywords
subject: weighted-fair queue
  topic: keywords
subject: load balancing
  topic: keywords
subject: -
  topic: disciplines
creator: Ahmad Helmi Abdul Halim
creator: Asif Iqbal Hajamydeen
rights: Copyright (c) 2021 Ahmad Helmi Abdul Halim, Asif Iqbal Hajamydeen https://creativecommons.org/licenses/by-nc/4.0
date: 2021-09-11
publication date: 2021-09-11
doi: 10.24203/ajcis.v9i3.6684

Software Functional Complexity Using a New Set of Criteria
type: item
description: With the rapid technology advances, there is an emerging consensus that the size and complexity of software designs are increasing so rapidly that they proportionally affect the magnitude of administrative and development efforts. An important consideration is how to estimate software complexity. This subject continues to be a research topic in the literature. The software design process researched here uses the Unified Modeling Language (UML) diagrams and the database design for extracting pertinent information. The Entity Relationship (ER) model of Peter Chen (of MIT) is a conceptual method of describing the data in a relational structure. An Entity Relationship Diagram (ERD) and an Entity Relationship Schema (ERS) represents the ER model, containing the entities, attributes, primary and foreign keys, and the relationships between the entities. Extending this ERS modeling construct, this paper uses an additional enhanced schema, called the Object Relationship Schema (ORS), which, together with the existing ERS, creates an enhanced view of the requirements and the design of the database. In addition, functional dependency, security, computational complexity, use cases, component structure and interpretations are considered for estimating functional complexity of modern software systems which is very valuable in higher education for new workforce development.
subject: Articles
  topic: section
subject: Complexity index
  topic: keywords
subject: Complexity multiplier
  topic: keywords
subject: Entity relationship model
  topic: keywords
subject: Object relationship model
  topic: keywords
subject: Unified modeling language (UML)
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Bhaskar Raj Sinha
creator: Pradip Peter Dey
creator: Mohammad Amin
rights: Copyright (c) 2021 Bhaskar Raj Sinha, Pradip Peter Dey, Mohammad Amin https://creativecommons.org/licenses/by-nc/4.0
date: 2021-02-24
publication date: 2021-02-24
doi: 10.24203/ajcis.v9i1.6511

https://ajouronline.com/index.php/AJCIS/article/view/6489
type: item
title: Computer Self-Efficacy and Facilitating Conditions as Correlates of Behavioural Intention to Use Electronic Information Resources by Master of Business Administration Students in Federal Universities in Nigeria
description: The focus of this research work was to investigate computer self-efficacy and facilitating conditions as correlates of behavioural intention to use electronic information resources by MBA students in Nigeria federal universities. Cluster sampling technique was adopted for the study and systematic sampling technique was used to select 60% of the total population of the MBA students across the ten federal universities offering the programme based on probability and proportionate size. Data were collected using questionnaire designed to elicit response from respondents and analysed using Pearson Product Moment Correlation Analysis, Multiple Regression Analysis using Partial Lease Square Method (PLSEM), Mean, Standard Deviation and Percentages. However, out of one thousand two hundred and seventy (1,270) copies of questionnaire administered to the respondents, one thousand and fifteen copies (1,015) were returned which represents 79.9% response rate for the study. Findings revealed that the level computer self-efficacy and facilitating conditions of MBA students towards use of electronic information resources in Nigeria federal universities was high. However, the study concluded that university managements and librarians should ensure rapid adoption and diffusion of ICTs and be proactive by developing relevant ICT policies and strategies toward effective and sustainable electronic information resources development in Nigerian universities, as well as promoting the use of relevant electronic information resources by MBA students to improve their quality of research and global competitiveness.
subject: Articles
  topic: section
subject: Computer self-efficacy, facilitating conditions, behavioural intention, electronic information resources, MBA students, Nigeria universities
  topic: keywords
creator: Bamidele Olawale
creator: S. O. Popoola
rights: Copyright (c) 2021 Bamidele Olawale, S. O. Popoola https://creativecommons.org/licenses/by-nc/4.0
date: 2021-04-29
publication date: 2021-04-29
doi: 10.24203/ajcis.v9i2.6489

Credit Card Fraud Detection in Payment Using Machine Learning Classifiers
type: item
description: The fraud detection in payment is a classification problem that aims to identify fraudulent transactions based individually on the information it contains and on the basis that a fraudster's behaviour patterns differ significantly from that of the actual customer. In this context, the authors propose to implement machine learning classifiers (Naïve Bayes, C4.5 decision trees, and Bagging Ensemble Learner) to predict the outcome of regular transactions and fraudulent transactions. The performance of these classifiers is judged by the following ways: precision, recall rate, and precision-recall curve (PRC) area rate. The dataset includes more than 297K transactions via credit cards in September 2013 and November 2017 that have been collected from Kaggle platform, of which 3293 are frauds. The performance PRC ratio of machine learning classifiers is between 99.9% and 100%, which confirms that these classifiers are very good at identifying binary classes 0 in the dataset. The results of the tests have proved that the best classifier is C4.5 decision trees. This classifier has the best accuracy of 94.12% in prediction of fraudulent transactions.
subject: Articles
  topic: section
subject: Fraud Detection
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Payment
  topic: keywords
subject: Predict
  topic: keywords
subject: Classifiers
  topic: keywords
subject: Credit Card
  topic: keywords
creator: Maad M. Mijwil
creator: Israa Ezzat Salem
rights: Copyright (c) 2020 Maad M. Mijwil, Israa Ezzat Salem https://creativecommons.org/licenses/by-nc/4.0
date: 2020-12-29
publication date: 2020-12-29
doi: 10.24203/ajcis.v8i4.6449

A Hybrid Relational Database Model for Uncertain and Imprecise Information
type: item
description: Recent years, many fuzzy or probabilistic database models have been built for representing and handling imprecise or uncertain information of objects in real-world applications. However, relational database models combining the relevance and strength of both fuzzy set and probability theories have rarely been proposed. This paper introduces a new relational database model, as a hybrid one combining consistently fuzzy set theory and probability theory for modeling and manipulating uncertain and imprecise information, where the uncertainty and imprecision of a relational attribute value are represented by a fuzzy probabilistic triple, the computation and combination of relational attribute values are implemented by using the probabilistic interpretation of binary relations on fuzzy sets, and the elimination of redundant data is dealt with by coalescing e-equivalent tuples. The basic concepts of the classical relational database model are extended in this new model. Then the relational algebraic operations are formally defined accordingly. A set of the properties of the relational algebraic operations is also formulated and proven.
subject: Articles
  topic: section
subject: Fuzzy probabilistic triple, ï¥- equivalence, uncertain and imprecise information, relational algebraic operation
  topic: keywords
creator: Hoa Nguyen
rights: Copyright (c) 2020 Hoa Nguyen https://creativecommons.org/licenses/by-nc/4.0
date: 2020-06-30
publication date: 2020-06-30
doi: 10.24203/ajcis.v8i3.6178

Character Segmentation Of Degraded Odia Script
type: item
description: Optical Character Recognition (OCR) is a field which converts printed text into computer understandable format that is editable in nature. Odia is a regional language used in Odisha, West Bengal & Jharkhand. It is used by over forty million people and still counting. With such large dependency on a language makes it important, to preserve its script, get a digital editable version of odia script. We propose a framework that takes computer printed odia script image as an input & gives a computer readable & user editable format of same, which eventually recognizes the characters printed in input image. The system uses various techniques to improve the image & perform Line segmentation followed by word segmentation & finally character segmentation using horizontal & vertical projection profile.
subject: Articles
  topic: section
subject: ocr
  topic: keywords
subject: Pre-processing
  topic: keywords
subject: segmentation
  topic: keywords
subject: Computer -Science
  topic: disciplines
creator: Ipsita Pattnaik
creator: Tushar Patnaik
rights: Copyright (c)
date: 2020-04-17
publication date: 2020-04-17
doi: 10.24203/ajcis.v8i2.6097

Analysis of Mobile App Revenue Models Used in the most Popular Games of the Tower Defense Genre on Google Play
type: item
description: This paper analyzes the revenue models of the most popular games of the Tower Defense genre on Google Play. A special look is taken at the quantitative distribution of the app sale model and the free model in terms of quality and download numbers. Additionally, this paper considers the qualitative implementation of the “freeâ€ model in the most popular games. First, the usual revenue models of mobile apps will be discussed and then the Tower Defense genre will be explained. Following that, the quantitative distribution of revenue models and an analysis of the most popular apps’ respective revenue models will be addressed. The analysis also identifies and explains two modifications of established revenue models. The most popular revenue model for mobile apps in the Tower Defense genre are in-app purchases. This distinguishes the genre from many other genres and games. A wide range of Tower Defense games utilizes the revenue models app sale and free. It becomes apparent that revenue models for mobile apps must be analyzed and considered specifically for their respective sector, and that no single promising revenue model for apps exists.
subject: Articles
  topic: section
subject: revenue model
  topic: keywords
subject: business model
  topic: keywords
subject: mobile apps
  topic: keywords
subject: Google Play
  topic: keywords
subject: mobile games
  topic: keywords
subject: Information Systems
  topic: disciplines
creator: Michael Groeschel
creator: Tim Schäfer
rights: Copyright (c)
date: 2020-02-21
publication date: 2020-02-21
doi: 10.24203/ajcis.v8i1.6038

Adaptive Electrocardiogram Steganography Based on 2D Approach with Predetermined Rules
type: item
description: Based on two-dimensional (2D) bit-embedding/-extraction approach, we propose a simple data hiding for electrocardiogram (ECG) signal. The patient’s sensitive (diagnostic) data can be efficiently hidden into 2D ECG host via the proposed decision rules. The performance of the proposed method using various sizes of the host bundles was demonstrated. Simulations have confirmed that the average SNR of the proposed method with a host bundle of size 3 Â´ 3 is superior to that of existing techniques, while our payload is competitive to theirs. In addition, our method with a host bundle of size 2 Â´ Â 2 generated the best SNR values, while that with a host bundle of size 4 Â´ Â 4 provided the largest payload among the compared methods. Moreover, the proposed method provides robustness performance better than existing ECG steganography. Namely, our method provides high hiding capacity and robust against the attacks such as cropping, inversion, scaling, translation, truncation, and Gaussian noise-addition attacks. Since the proposed method is simple, it can be employed in real-time applications such as portable biometric devices.
subject: Articles
  topic: section
subject: Data Hiding
  topic: keywords
subject: ECG Steganography
  topic: keywords
subject: 2D Bit-embedding/-extraction Approach
  topic: keywords
subject: Real-time Applications
  topic: keywords
subject: Computer Science
  topic: disciplines
subject: Information Engineering
  topic: disciplines
creator: Ching Yu Yang
creator: Chi-Ming Lai
creator: Hung-Chang Lin
creator: Ting-Ying Lin
creator: Ruei-Long Lu
rights: Copyright (c)
date: 2020-02-21
publication date: 2020-02-21
doi: 10.24203/ajcis.v8i1.6059

Ergonomics and Ergonomic Analysis of Driving Education System by Personal Car-2
type: item
description: The subject of IT-supported car training/education system was selected for the research below in the previous article. For the well-known hypothesis, out of the three existing parts, the driver-machine-car subsystem was first selected to handle the theoretical hypothesis; presented later. Thus, the following eight subsystems or parts for human participants are listed: nerve area; sense of sight or visual organ of the eye; hearing aid or hearing organ ear; motion observations; psychological factors, mental and psychomotor properties; individuals' reactions and causes of reactions; types of drivers; the influence of alcohol on road safety. In the practical part of the article, based on the vast amount of data, several analyzes were conducted. The vast amount of data requires multiple publication of the complete content of the thesis, where each new content unit / article must have both parts, both theoretically and practically. To our knowledge, a unique list of 19 types of errors was made, with a detailed description of them. The terms of different types of driving are explained in particular: polygon, city traffic and examinations, as well as the differences between them. In the series of analysis, the terms driving type, teaching unit, candidate and driving hours were taken as the independent variable, while the error types with the predominant frequency characteristic were taken as the dependent variable. Practical parts are supported with IT processing. Appropriate ideas and measures for improvement have been proposed. The articles gratefully acknowledges Prof. B.Sc. Marijan BiÅ¡ÄaniÄ‡ and prof. Ph.D. Dragutin Mikšić for their contribution.
subject: Articles
  topic: section
subject: ergonomics
  topic: keywords
subject: Â Â education system
  topic: keywords
subject: driving frequency of errors
  topic: keywords
subject: IT processing
  topic: keywords
subject: Engineering
  topic: disciplines
subject: ergonomics
  topic: disciplines
subject: education
  topic: disciplines
creator: Kata Car
creator: Julijana Hadjina
creator: Mirela Car
creator: Domagoj Car
creator: Miroslav Car
rights: Copyright (c)
date: 2020-02-21
publication date: 2020-02-21
doi: 10.24203/ajcis.v8i1.6087

Information Security: Awareness and Training Program in the Middle East Universities
type: item
description: An effective Security Awareness and Training (SAT) program enables organizational members to understand the organization’s security strategies, know their responsibilities, and control risks that are caused by security incidents. Therefore, deploying a SAT program is one of the most important steps for any organization to assure that information assets are appropriately secured. The aim of this paper is into folds: first, to gain an insight and determine the information security awareness and training program levels in Middle Eastern higher education sector through a case study that examined 182 institute websites over eight countries. Second, to provide recommendations based on the findings that aid information security professionals to establish a new or improved existing awareness and training program. Literature showed that no study has been done on the SAT program at the level of the Middle Eastern region. However, there was a need to this investigation and therefore, it was a pioneering study at the region level in the field of information security.
subject: Articles
  topic: section
subject: Information Security
  topic: keywords
subject: Awareness Program
  topic: keywords
subject:
  topic: keywords
subject: Information Systems
  topic: disciplines
subject: Information Security
  topic: disciplines
creator: Mohammad Eyadat
rights: Copyright (c)
date: 2018-10-19
publication date: 2018-10-19
doi: 10.24203/ajcis.v6i5.5483

Postgraduate Students’ Acceptance of On-line Databases: A Validation of UTAUT Model in Selected Universities in Nigeria.
type: item
description: Abstract The purpose of this study was to validate the Unified Theory of Acceptance and Use of Technology (UTAUT) model on the acceptance of on-line databases among postgraduate students in Nigeria. the study investigated the four based constructs of UTAUT that is performance expectancy (PE), effort expectancy(EE), social influence (SI) and facilitating conditions (FCs) as the determinants of behavioural intention to use and eventual usage of on-line databases. The study adopted a descriptive survey research design. The population was made up of postgraduate students from Ekiti State University, Ado-Ekiti, and Federal University of Technology, Akure; Nigeria. Data were collected using questionnaire designed to elicit response from respondents and analysed using descriptive statistics method of frequency counts and percentages. However, out of two hundred and twenty five (225) copies of questionnaire administered to the respondents one hundred and eighty six (186) were returned which represents 82.7% response rate for the study. Findings revealed that all four variables i.e. (PE), (EE), (SI) and (FCs) had positive and significant effect on users' behavioural intention to use on-line databases. It was recommended that infrastructure such as computers and high-speed and affordable internet required are provided for easy access in Nigerian universities among other recommendations.
subject: Articles
  topic: section
subject: Keywords
  topic: keywords
subject: performance expectancy
  topic: keywords
subject: effort expectancy
  topic: keywords
subject: social influence
  topic: keywords
subject: facilitating conditions
  topic: keywords
subject: behavioural intention
  topic: keywords
subject: on-line databases and postgraduate students.
  topic: keywords
subject: library and information science
  topic: disciplines
creator: Bamidele Olawale
rights: Copyright (c)
date: 2019-04-20
publication date: 2019-04-20
doi: 10.24203/ajcis.v7i1.5767

Application of the ITIL Method for Management in Practice
type: item
description: The chosen basic and the most important one is the ITIL method. An investigation hypothesis is set, that system and processes are not in sufficient measures in line with theoretical settings from the literature and with some of those are from good practices. It is researched and conducted in the spirit of analytics with the aim of alternative and possible better application of ITIL legality. Collected and analyzed facts and data are compared with the theoretical settings of the ITIL method in management with my own 10 years of experience, knowledge and skills, applicable in good practices. By applying previously cited entries, there is a need to propose ways and conditions of correction of applying the ITIL method, with more successful results. Entire procedures of the ITIL Method are supported by IT. Acknowledgement is dedicated to Domagoj Car, bacc.oec., because of processing his own Expert final work on Graduate studies.
subject: Articles
  topic: section
subject: management
  topic: keywords
subject: manager
  topic: keywords
subject: ITIL method
  topic: keywords
subject: IT supportÂ
  topic: keywords
subject: ITIL
  topic: disciplines
subject: management
  topic: disciplines
subject: methods
  topic: disciplines
subject: IT
  topic: disciplines
creator: Domagoj Car
creator: Miroslav Car
creator: Mirela Car
rights: Copyright (c)
date: 2019-12-26
publication date: 2019-12-26
doi: 10.24203/ajcis.v7i3.5963

Ergonomics and Ergonomic Analysis of Driving Education System by Personal Car with Supporting ITÂ Â
type: item
description: The subject of the car education / training system, with IT support, was selected for research. The hypothesis was set: to analyze the theory and empiricism of the collected data and to determine the characteristics for the elements of the system and the influences among them. The necessary updating and reworking of the sample operation was made. A multidisciplinary and interdisciplinary science called Ergonomics and Ergonomic Analysis have been selected for this very complex research. First, all the individual parts of the system are presented right down to the theoretical facts, then the individual parts in the subsystem are presented, and finally the whole ergonomic system is presented. In the practical part of the article, many analyzes were performed on the basis of the vast amount of data collected, based on six characteristics. From mathematical statistics and probability theory, major analyzes were performed, including two types of different sample sizes, with cumulative and average values. The enormous scope requires multiple content publishing, where each individual article must have both parts, theoretical and practical. Concrete ideas and measures for implementation have been proposed. Practical parts are supported with IT. The article Â is Â aknowledgement to late B.Sc.Mech.Eng. Marijan BiÅ¡ÄaniÄ‡ and prof. Ph.D. Dragutin Mikšić for their contribution.
subject: Articles
  topic: section
subject: ergonomics
  topic: keywords
subject: education system
  topic: keywords
subject: IT
  topic: keywords
subject: personal car driving
  topic: keywords
subject: Engineering
  topic: disciplines
subject: ergonomics
  topic: disciplines
creator: Miroslav Car
creator: Julijana Hađina
creator: Mirela Car
creator: Marijan BiÅ¡ÄaniÄ‡
rights: Copyright (c)
date: 2019-10-20
publication date: 2019-10-20
doi: 10.24203/ajcis.v7i2.5944

Multithread Affinity Scheduling Using a Decision Maker
type: item
description: In a multiprocessor-multithread Operating System (OS), scheduling has two dimensions. The operating system has to decide which thread to run and which Central Processing Unit (CPU) to run it on. Assume the threads are independent and each thread has a priority, the operating system selects a thread with the highest priority and assigns it to the first free CPU. Usually, each CPU has its private cache. To increase the throughput of the system, it is preferred to use affinity scheduling. The affinity scheduling concept is to make an effort to have a thread run on the same CPU it ran on the last time. The existing affinity scheduling is implemented by using a two-level scheduling algorithm. In this paper a new approach is designed to implement independent multithread scheduling on a multiprocessor system. The design approach uses a decision maker to compute a new priority for each ready thread according to the thread pre-priority and affinity. The results show that by using the new priority, the goal of having affinity is satisfied in addition to taking the pre-priority of the thread in consideration. Also, the design approach reduces the scheduling time because it implements affinity scheduling and priority scheduling by employing a one level scheduling algorithm.
subject: Articles
  topic: section
subject: Affinity
  topic: keywords
subject: cache memory
  topic: keywords
subject: multiprocessor scheduling
  topic: keywords
subject: operating systems
  topic: keywords
subject: priority
  topic: keywords
subject: throughput
  topic: keywords
subject: Computer Science
  topic: disciplines
subject: Information Systems
  topic: disciplines
subject: Information Technology
  topic: disciplines
creator: Shatha K. Jawad
creator: Ronald P. Uhlig
creator: Bhaskar Sinha
creator: Mohammad N. Amin
creator: Pradip Peter Dey
rights: Copyright (c)
date: 2018-08-19
publication date: 2018-08-19
doi: 10.24203/ajcis.v6i4.5430

Evaluation of the Development Framework Jasonette
type: item
description: In this paper we evaluate the development framework Jasonette which is based on JSON. The evaluation was carried out by means of a prototype of an app informing prospective students about the study program Enterprise Computing at the Mannheim University of Applied Sciences. We defined a set of criteria that we cross checked during and after the implementation of the app.
subject: Articles
  topic: section
subject: Jasonette
  topic: keywords
subject: Development Framework
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Prototype
  topic: keywords
subject: Information Systems
  topic: disciplines
subject: Mobile Computing
  topic: disciplines
subject: Mobile Business
  topic: disciplines
creator: Nicolas Schmitt
creator: Tim Wesemeyer
creator: Marcel Kissel
creator: Dennis Horvat
creator: Marco Wuenschel
creator: Michael Sattel
creator: Yves Lehmann
creator: Axel Herbstreith
creator: Michael Gröschel
rights: Copyright (c)
date: 2018-06-25
publication date: 2018-06-25
doi: 10.24203/ajcis.v6i3.5281

Decision Fusion based Person Identification System using Fingerprints and Facial Image with Template Matching
type: item
description: In this research, it has been developed a prototype biometric system which integrates facial images and fingerprints. The system overcomes the limitations of face recognition systems as well as fingerprint recognition systems. The integrated prototype system operates in the identification mode with an admissible response time. The identity established by the system is more reliable than the identity established by a face recognition system. In addition, the proposed decision fusion scheme enables performance improvement by integrating multiple features with different confidence measures. Experimental results demonstrate that the system performs Â well. It meet up the response time as well as the accuracy requirements.
subject: Articles
  topic: section
subject: Computer Science and Engineering
  topic: disciplines
creator: A. K. M. Akhtar Hossain
rights: Copyright (c)
date: 2018-06-25
publication date: 2018-06-25
doi: 10.24203/ajcis.v6i3.5317

A Data Exchange Interoperability Framework for eHealth Applications in Ethiopia
type: item
description: Interoperability between applications is important and creates a bridge between and facilitates data exchange between eHealth applications. In this study, we assess the existing Laboratory Information Systems (LIS) and Electronic Medical Record (EMR) for data exchange interoperability in Ethiopia with the view to proposing and developing a data exchange interoperability framework. We applied a qualitative research method to explore the status of e-Health applications (LIS and EMR) based on functional test done. Using a constructive method, a data exchange interoperability framework on eHealth applications was designed. NVivo-10 software was used for coding the interview and data analysis. The framework is tested by the developers and decision makers. The proposed and designed framework is encouraging for future change.
subject: Articles
  topic: section
subject: Interoperabilty
  topic: keywords
subject: eHealth
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: framework
  topic: keywords
subject: Computer Science
  topic: disciplines
subject: Information Systems
  topic: disciplines
creator: Wondwosen Shiferaw
creator: Mengistu Kifle
creator: Senanu Okuboyejo
creator: Victor Mbarika
rights: Copyright (c)
date: 2018-04-25
publication date: 2018-04-25

Adoption and Implementation of Health Information System in Limited Resource Setting: A Survey on User Experience Perspective
type: item
description: Understanding the situation is essential to bring sustainable health information system. It helps to get the detail of the context, methods of communication and tools experienced that will ensure the sustainability of the system. The majority of the research confirms failure is the known end result of information system in developing countries. In principle, information system projects are trying to involve users and collaborate with stakeholders throughout the design process such as requirement gathering, requirement specification, implementation and design, testing, training and so on. Most of information system projects in developing countries will face a difficulty of getting appropriate user requirement and engagement. The consequence of these will degrade the success rate and create fragile information system. Assessment review of Ethiopian Health Information System (EHIS) also noted that the system struggle with poor data management, system resources, dissemination and use of information system. The EHIS review noted that 52% of the components were present but not adequate. However, inadequateness and the fragility of the system mainly arise from lack of appropriate user involvement and requirement. User experience design has been known to create an influence and increase level of participation in the process, but not fully explored in the fragile system and low resource setting scenario. The story of health information in low resource setting is examined. User experience design and participatory design model is proposed as a solution to outline critical issues and mode of communication to increase the success rate of health information system adoption and implementation.
subject: Articles
  topic: section
subject: Health Informatics
  topic: keywords
subject: User Experience Design
  topic: keywords
subject: Fragile System
  topic: keywords
subject: Participatory Design
  topic: keywords
subject: Health Information System
  topic: keywords
subject: Health System Adoption and Implementation
  topic: keywords
creator: Geletaw Sahle
creator: Henok Bekele
rights: Copyright (c)
date: 2018-02-16
publication date: 2018-02-16

System Configuration and Error Performance of Spectral Amplitude Coding Labels in Multi-Rate Optical MPLS Network
type: item
description: In this paper, we propose a simple scheme for optical multi-protocol label switching (MPLS) network to support multi-rate data transmissions. Spectral-amplitude coding (SAC) labels of stuffed quadratic congruence (SQC) codes are used for packet switching without multiple access interference (MAI). System performance is analyzed by taking the effects of phase-induced intensity noise (PIIN) and thermal noise into account. We also compare the bit-error rate (BER) of MPLS network with the system where labels of M-sequence codes are employed.
subject: Articles
  topic: section
subject: Multi-protocol label switching (MPLS)
  topic: keywords
subject: Spectral-Amplitude Coding (SAC)
  topic: keywords
subject: Multi-rate data transmissions
  topic: keywords
subject: Balanced Incomplete Block Design (BIBD).
  topic: keywords
creator: Kai Sheng Chen
creator: Chao Chin Yang
creator: Jen-Fa Huang
creator: Chun-Ting Li
rights: Copyright (c)
date: 2017-10-24
publication date: 2017-10-24

Factors Influencing People’s Intention to Adopt E-Banking: An Empirical Study of Consumers in Shandong Province, China
type: item
description: E-Banking is growing at an unprecedented rate and has become a truly worldwide phenomenon, offering convenience, flexibility and interactivity for those that can, and know how to access it. This is clearly evidence in China. However, despite such growth and popularity, some users still have reservations about using Information and communication technology (ICT) in their daily banking activities, perhaps due to deep routed cultural factors that cause consumers to question the efficacy of such changes. Through the application of a technology acceptance framework, and empirical evidence from 52 E-Banking user questionnaires and four key market segment interviews, the research explores the factors that influence consumers’ intention to adopt E-Banking in Shandong Province of China. The findings highlight that perceived usefulness and perceived credibility are significant factors which have a positive influence on consumers’ intention to utilise E-Banking, while perceived ease of use and perceived cost are less significant. Unpacking the reasons for resistance to the use of E-Banking highlighted that “difficult to operateâ€, “unnecessary to use itâ€ and “worry about the securityâ€ are key drivers and therefore challenges for the service providers. Based on the results, recommendations are drawn for banks, involving focusing on the significant factors, avoiding weaknesses and optimising strengths of E-Banking and ultimately developing more accurate market positioning strategies to align and manage consumer expectations and maximise potential acceptance.
subject: Articles
  topic: section
subject: E-Banking
  topic: keywords
subject: China
  topic: keywords
subject: Technology Acceptance Model (TAM)
  topic: keywords
subject: Cost
  topic: keywords
subject: Information Systems
  topic: disciplines
creator: Yan Xiao
creator: Arun Sukumar
creator: Lucian Tipi
creator: David Edgar
rights: Copyright (c)
date: 2017-10-30
publication date: 2017-10-30

Framework for Enhancement Performance of Heterogeneous System via Social Network Analysis
type: item
description: In recent decades, social network analysis arise as a powerful tool for describing social competitive systems. Vertices, or entities represent states or nodes or agents, while edges represent relations between different nodes. A graph theory is a suitable way for simulating complicated systems. This paper presents framework and architecture to improve system performance using social network analysis. System crawling then web blog analysis is a methodology to clustering and exploring community nodes. Graph and semantic network used for simulate agents and edges. The proposed architecture involves two consecutive modules affecting system performance. Clustering is a first module which simulate vertices and it's edges with user supervised for filtering nodes and attribute , while supervised and Â machine learning module stimulate the agents for optimal path and performance under complicated environment circumstances. Data prepared from social networks, relations extracted, and crawling with breadth first search with some small graphs as a base are maintained. The proposed framework affect the performance of learning in university as a sample of community through analyzing and maintaining relations and features enhancement which are achieved via supervised machine learning. The proposed system can be implemented to a various social institutes or organizations, using its webs or blogs with different queries from interviews and emails to enhance its performance.
subject: Articles
  topic: section
subject: Vertex
  topic: keywords
subject: edges
  topic: keywords
subject: Semantic network
  topic: keywords
subject: clustering
  topic: keywords
subject: blog
  topic: keywords
subject: attribute
  topic: keywords
subject: machine Learning
  topic: keywords
subject: Computer Science
  topic: disciplines
subject: Information Systems
  topic: disciplines
subject: artificial Intelligence
  topic: disciplines
creator: Abdulkareem Merhej Radhi
rights: Copyright (c)
date: 2017-07-01
publication date: 2017-07-01

Personal Computer Usage and Security Threats in the New Juaben Municipality, Ghana
type: item
description: Personal computer (PC) usage in Ghana is on the rise but its security threat lacks behind because most PC owners do not know how to guard themselves and unaware of it danger. This paper studies the current state of PC security threat in the New Juaben Municipality, Eastern Region Ghana. SPSS was used to analyze the questionnaires gathered. The results suggest that (i) good authentic password does not guarantee PC owners safety, (ii) lapse in anti-virus routine update empowers malicious attackers to attack personal computers and (iii) PC’s owners are not free from privacy threat so far as they subscribe to free email accounts.
subject: Articles
  topic: section
subject: Personal Computer
  topic: keywords
subject: Ghana
  topic: keywords
subject: Security Threats
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Sarah Dsane-Nsor
creator: Akyene Tetteh
creator: Joseph Akubire Kojo Nsor
rights: Copyright (c)
date: 2017-06-30
publication date: 2017-06-30

Multi-Radio Platform for WBAN MAC Protocol
type: item
description: Wireless Body Area Network (WBAN) designed for medical, sports, and entertainment application have drawn the attention of academia and industry alike. A WBAN is a special purpose network, designed to operate autonomously to connect various medical sensors and appliances, located inside and outside of a human body. This network enables physicians to remotely monitor vital signs of patients and provide real time feedback with medical diagnosis and consultations. The WBAN system can offer two significant advantages compared to current electronic patient monitoring system devices. The first is mobility of patient due to use of portable monitoring devices. Second advantage is the location independent monitoring facility. With its appealing dimensions, it brings about a new set of challenges, which we do not consider in such small sensor network. It requires an scalable network in terms of heterogeneous data traffic, low power consumption of sensor nodes, integration of in and around the body networking and coexistence. This work presents a medium access control protocol for WBAN which tries to overcome the challenges specified. We have used Multi-Radio. The evaluation of multi-processor architectures is supported by extrelmely flexible and fully reconfigurable FPGA processing hardware. The use of parallel radio transceivers allows the simultaneous data exchanges with the different neighbors at the same time. As a design case multiprocessor implementations for 1 to 4 parallel Nios II softcore processors with performance measurements are presented. Only WBAN Coordinator (BAN_C) node is mounted with the multi radio multiprocessor.
subject: Articles
  topic: section
subject: WBAN
  topic: keywords
subject: Multi-Radio
  topic: keywords
subject: Multiprocessor
  topic: keywords
subject: MAC
  topic: keywords
subject: Sensor
  topic: keywords
creator: M. Arif Siddiqui
rights: Copyright (c)
date: 2026-04-23
publication date: 2026-04-23

After IT Outsourcing: An Exploratory Research of an Agency of Taiwan from the Perspectives of IT Personnel’s Ability and IT Budget Allocation _
type: item
description: Building an Information System is essential for achieving the goal of implementing Electronic Government (E-Government). Â Outsourcing has become the strategy for Taiwan government in terms of building the Information Systems. Â Sixty percent of the Information Technology (IT) budget for Taiwan government was spent on maintaining and operating the information systems built by the contracting companies in 2014. Â The ability of IT personnel and IT budget allocation for a government agency may have an impact on the operation of the information system. Â However, there is limited literature about it. Â This exploratory research used in-person observation and In-depth interviews to study an information system inside X agency of Taiwan government. Â This study found that since the IT personnel in this agency did not involve in the development of the system, even though the IT personnel in this agency had sufficient technical skills, the lack of knowledge of technical details of the system weakened their ability to operate and maintain the system. Â This study also found the limited budget made operation cost a priority over system upgrades. Â The insufficiency of technical knowledge of system not only impair the normal operation of system, it also made adequate budgeting for IT department difficult. Â This study provides practical solution and recommendation for future researches.
subject: Articles
  topic: section
subject: E-Government
  topic: keywords
subject: Information Technology Outsourcing
  topic: keywords
subject: IT Personnel
  topic: keywords
subject: IT Budge Allocation
  topic: keywords
subject: Information Technology
  topic: disciplines
creator: Huey-Wen Chou
creator: Chi-Lung Yen
rights: Copyright (c)
date: 2017-04-22
publication date: 2017-04-22
doi: 10.24203/ajcis.v5i1.4491

A Study of Young Taiwanese Consumers’ Attitude toward Internet Transnational Surrogate Buyer Service: Perspectives from Merchandise Attribute, Consumers’ Perceived Result and Characteristics
type: item
description: With the increasing popularity of Internet usage, Internet economy has flourished. The total revenue of Taiwan’s Internet business was 562 billion NT dollars in 2011 and 10% of it was contributed to overseas shopping. Based on Theory of Reasoned Action, this study investigates the relationship between selected variables and consumers’ attitude towards using Internet transnational surrogate buyer services. The selected variables include merchandise attributes (price, brand name and warranty), consumers’ perceived results (benefit and risk), consumers’ characteristics (openness and materialism). The results of this study show that all but two of our hypotheses are supported by our empirical data. Based on the findings of this study, price and warranty do not have significant impact on consumers’ behavior on using Internet Transnational Surrogate Buyer Service. Therefore, this study suggests that Internet transnational buyer service providers need to pay more attention to ‘brand name’ instead of ‘price’ or ‘warranty’ when they develop marketing strategy.
subject: Articles
  topic: section
subject: Internet transnational surrogate buyer service
  topic: keywords
subject: merchandise characteristics
  topic: keywords
subject: perceived result
  topic: keywords
subject: openness
  topic: keywords
subject: materialism
  topic: keywords
subject: Information Management
  topic: disciplines
creator: Huey-Wen Chou
creator: Chi-Long Yen
creator: Li-Ru Hwand
rights: Copyright (c)
date: 2017-01-02
publication date: 2017-01-02