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Author Guidelines

We welcome the following types of contributions:

1. Full-length and letter-length papers describing original research and/or novel applications
2. Well researched review/survey articles
3. Work-in-progress reports on promising developments
4. Case studies and best practice articles prepared by industry experts
5. Tutorials on up-and-coming technological breakthroughs

It is expected that 80% of published contents would fall under categories 1) and 2). Although categories 3)-5) should make up only 20% of published contents, category 3) is intended to be an important feature of the journal. It will be a venue for publishing ‘spot the trend’ or ‘you saw it here first’ types of contributions. This reinforces the forward looking nature of the journal

We expect readers and contributors to come from the wide spectrum of computing/IT communities including academic and industrial researchers, industrial managers and practitioners, IT consultants, educators, and employees of related government agencies, as well as policy makers in the public and private sectors.

Submitted papers are assumed to contain no proprietary material unprotected by patent or patent application; responsibility for technical content and for protection of proprietary material rests solely with the author(s) and their organizations and is not the responsibility of JAIT or its Editorial Staff. The main author is responsible for ensuring that the article has been seen and approved by all the other authors. It is the responsibility of the author to obtain all necessary copyright release permissions for the use of any copyrighted materials in the manuscript prior to the submission.

Submission Preparation Checklist

All submissions must meet the following requirements.

  • The submission has been prepared in accordance with the journal's Instructions for Authors and follows all the journals' policy requirements.
  • The submission file is in Microsoft Word format.
  • All co-authors must be included at the time of submission with valid e-mail addresses.
  • No part of the manuscript has been, or will be, published elsewhere nor is under consideration for publication elsewhere.
  • The submitted paper contains no proprietary material unprotected by patent or patent application.
  • The submitted paper contains no plagiarism/copying and fraudulent data.

Topic: Software Design and Program Development

Software Design and Program Development play a key role in the software development process. Different methods are used for architecture design and detailed design evaluation. The topics include but are not limited to:

Computer programming languages and programming          Parallel programming
Software structure design   Software quality assessment
Software analysis methods and tools   Debugging
Software requirements analysis   Application Testing and Design
Test case design and execution   Testing Application Vulnerabilities
Software modeling and analysis   Software testing in IoT (Internet of Things)
Software design and estimation   Importance of agile and DevOps principles
Software frameworks and architectural   Security testing tool
Architectural and design patterns   Software testing, diagnosis, and validation
Software process models   Design principles
Project management   Software performance
Software testing to combat cybersecurity and risk compliance   Machine learning and artificial intelligence to enhance automated software testing
 

Topic: Machine Learning in Computer and Information Systems

Machine learning is the process of a computer modeling human intelligence, and autonomously improving over time. Machines are able to make predictions about the future based on what they have observed and learned in the past. The topics include but are not limited to:

Logistic Regression   Decision Tree
k-Means       Nearest Neighbors
Principal Component Analysis   Hierarchical Naïve Bayes
Random Forest   Support Vector Machine
Reinforcement learning   Unsupervised learning
Supervised learning   Deep learning
Self-Organizing Maps   Topic model
Dimensionality reduction   Artificial Neural Networks
Deep Neural Network   K-nearest neighbor
Linear regression   Canonical correlation analysis

 

Topic: Application of Virtual Reality and Augmented Reality Technologies in Inte

Virtual reality is an advanced computer simulation experience technology that uses posture tracking and 3D computer drawing technology and various intelligent virtual display devices to provide users with an immersive feeling of the virtual world and allow users to interact with each other in a manually created real world. The main features of virtual reality are identified as spatial conception, perception comprehensiveness, and information interaction. Virtual reality typically incorporates auditory and video feedback, but may also allow other types of sensory and force feedback through haptic technology.  These features are generally applied across different fields, such as environmental design, architecture, public art design, and other industries.  a wide range of topics including, but not limited to:

♦ Original research studies of Virtual Reality, Augmented Reality, Mixed Reality, extended reality and Computer vision techniques, Computer graphics techniques, Immersive analytics and visualization techniques, and applications

♦ Development and evaluation of systems, tools, techniques, and software that advance the field, including display technologies, Head Mounted Displays, simulators, and immersive displays.

♦ Haptic technologies, including novel devices, interaction, and rendering, Haptic and tactile interfaces, wearable haptics, passive haptics, pseudo haptics

♦ Interaction management, including gesture control, eye gaze, biosensors, biofeedback, Human-computer interaction for VR/AR/MR/ER, Audio interfaces, Brain interface, Multimodal/cross-modal interaction, and perception and wearables

♦ Tracking technologies, motion capture, 3D spatial sound, virtual smell, Tracking and sensing, and virtual taste

♦ VR/AR/MR/ER in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modeling.

♦ Impactful and original applications and studies of VR/AR/MR/ER’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment, and defense

♦ Research demonstrating new techniques and approaches to designing, building, and evaluating virtual and augmented reality systems

♦ Original research studies assessing the social, ethical, data, or legal aspects of VR/AR/MR/ER

Topic: Internet of Things (IoT) in Smart Systems and Applications

The Internet of Things (IoT) plays a crucial role in the development of smart systems and applications. It encompasses a variety of technologies that enable the connection and communication between everyday objects and digital services. This topic aims to explore the latest progress, challenges, and opportunities in the field of IoT, including but not limited to:

♦ IoT Platforms and Protocols: Including standards, interoperability, and security mechanisms.

♦ Sensing and Actuation Technologies: Advanced sensors, actuators, and edge computing solutions.

♦ Data Management and Analytics: Techniques for managing and analyzing large-scale IoT data.

♦ Smart City Solutions: Infrastructure, energy management, transportation, and urban planning.

♦ Healthcare Applications: Wearable technologies, remote monitoring, and telemedicine.

♦ Industrial IoT (IIoT): Factory automation, predictive maintenance, and supply chain optimization.

♦ Agriculture and Environmental Monitoring: Precision farming, water management, and ecosystem monitoring.

♦ Privacy and Security: Privacy-preserving mechanisms and secure communication protocols.

♦ Energy Efficiency and Sustainability: Energy harvesting, green IoT, and sustainable practices.

♦ User Experience and Human Factors: User-centric design, usability, and acceptance.

Selected Papers from Conferences

This section will publish selected papers from conference.

Topic: Human-Computer Interaction (HCI) in Modern Technological Systems

With the rapid development of science and technology, Human-Computer Interaction (HCI), with a focus on the interface between people and technological systems, has become a vital field of research. This topic aims to explore the latest achievements and applications of Human-Computer Interaction (HCI) in modern technological systems, with an emphasis on innovative design, evaluation methods and techniques to improve user experience and system performance. It encourages original research papers from both academia and industry, aiming to present the latest findings and future trends in the field of HCI.

Topics of interest include but are not limited to the following:

  • Multimodal Interaction Design: Exploration of interfaces that leverage multiple sensory inputs such as touch, voice, and gestures to create more natural and efficient interactions. Studies on usability, effectiveness, and user satisfaction are particularly welcome.
  • Intelligent User Interfaces and Natural User Interfaces (NUI): Discussions on how to create smarter and more intuitive user interfaces. Contributions focusing on practical implementations and user experiences with NUIs are highly relevant.
  • Interaction Technologies and Sensory Feedback: Introduction of new interaction methods and sensing technologies, such as eye-tracking, biofeedback, brain-computer interfaces, and haptic feedback systems, and their potential applications in HCI.
  • Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in HCI Contexts: Explore the latest developments and applications of virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies in enhancing human-computer interaction experiences.
  • Security and Privacy in HCI: Examination of the role of HCI in ensuring data security and privacy. Topics may include secure authentication mechanisms, enhancing user awareness about privacy settings, and designing interfaces that protect user data.
  • Applications in Emerging Technologies: Research on how HCI is integrated with emerging technologies like the Internet of Things (IoT), cloud computing, digital signal processing, and neural networks. Contributions should highlight challenges and opportunities presented by these integrations.
  • AI-driven Personalization and Adaptability in HCI: Exploring how machine learning algorithms can personalize and adapt HCI experiences based on user behavior, preferences, and context.
  • Machine Learning for Predictive User Modeling and Behavior Analysis in HCI: Investigating the use of machine learning techniques for predicting and analyzing user behavior to improve the efficiency, level of personalization, and user experience in HCI.

Copyright Notice

For articles published in JAIT, copyright will be retained by the authors. Articles are licensed under the Creative Commons Attribution License (CC BY 4.0), which means all papers can be downloaded, shared, and reused without restriction, as long as the original authors are properly cited. These conditions allow for maximum use and exposure of the work, while ensuring that the authors receive proper credit.
 
In exceptional circumstances, articles may be licensed differently. If you have a specific condition (such as one linked to funding) that does not allow this license, please mention this to the editorial office of the journal at submission.

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Permissions for Reproducing Published Material in Your Work

Authors are responsible for obtaining permission to reproduce any published material (figures, schemes, tables or any extract of a text) which does not fall into the public domain, or for which they do not hold the copyright. Permission should be requested by the authors from the copyright holder (usually the Publisher, please refer to the imprint of the individual publications to identify the copyright holder). The copyright holder may give you instructions on the form of acknowledgment to be followed; otherwise, follow the style: "Reproduced with permission from [author], [journal title]; published by [publisher], [year], [reference number].” at the end of the caption of the Table or Figure.

In order to avoid unnecessary delays if the publication process, authors should start obtaining permission as early as possible. When submitting your article, please upload the permission together with the rest of your files.