International Journal of Information and Communication Technology
- Editor in Chief
- Prof. Srikanta Patnaik
- ISSN online
- 1741-8070
- ISSN print
- 1466-6642
- 8 issues per year
- CiteScore 0.7 (2023)
IJICT is a refereed journal in the field of information and communication technology (ICT), providing an international forum for professionals, engineers and researchers. IJICT reports the new paradigms in this emerging field of technology and envisions the future developments in the frontier areas. The journal addresses issues for the vertical and horizontal applications in this area.
IJICT is an Open Access-only journal and article processing charges (APCs) apply.
Topics covered include
- Information theory/coding
- Information/IT/network security, standards, applications
- Internet/web based systems/products
- Data mining/warehousing
- Network planning, design, administration
- Sensor/ad hoc networks
- Human-computer intelligent interaction, AI
- Computational linguistics, digital speech
- Distributed/cooperative media
- Interactive communication media/content
- Social interaction, mobile communications
- Signal representation/processing, image processing
- Virtual reality, cyber law, e-governance
- Microprocessor interfacing, hardware design
- Control of industrial processes, ERP/CRM/SCM
Objectives
To recognise the tremendous growth in the core field and application areas of ICT. Further, to provide a forum for the exchange ideas on the emerging areas and to bring together technologists, application developers, researchers from industries, academic institutions and R&D laboratories.
Readership
IJICT provides a forum to help professionals, academics, researchers and policy makers, working in the field of information and communication technology, to disseminate information and to learn from each other's work.
Contents
IJICT is a referred international journal publishing original and review papers and case studies. Special Issues devoted to important topics in the areas of information and communication technology will also be published periodically.
Browse issues
IJICT is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Academic OneFile (Gale)
- ACM Digital Library
- cnpLINKer (CNPIEC)
- Computer Database (Gale)
- DBLP Computer Science Bibliography
- Google Scholar
- Info Trac (Gale)
- J-Gate
- io-port (FIZ Karlsruhe)
- ProQuest Advanced Technologies Database with Aerospace
IJICT is listed in:
More journal lists/directories...Editor in Chief
- Patnaik, Srikanta, Interscience Institute of Management and Technology, Bhubaneswar, India
(patnaik_srikantayahoo.co.in)
Assistant Editor
- Yadavalli, V.S.S., University of Pretoria, South Africa
Associate Editors
- Popentiu Vladicescu, Florin, City University, UK
- Qu, Guangzhi, Oakland University, USA
- Yu, Zhengtao, Kunming University of Science and Technology , China
Editorial Board Members
- Apolloni, Bruno, Università degli Studi di Milano, Italy
- Chen, Shyi-Ming, National Taiwan University of Science and Technology, Taiwan, Province of China
- Coulibaly, Yahaya, University Technology Malaysia, Malaysia
- Cui, Zhihua, Taiyuan University of Science and Technology, China
- Das, B.K., Government of India, India
- Davis, Joseph, The University of Sydney, Australia
- De La Escalera Hueso, Arturo, Universidad Carlos III de Madrid, Spain
- Dong, Shi, Zhoukou Normal University, China
- El Mohajir, Mohammed, Dhar Mahraz University, Morocco
- Elhoseny, Mohamed, American University in the Emirates, United Arab Emirates
- Hessami, Ali, Vega Systems, UK
- Hsu, Yen-Tseng, National Taiwan University of Science and Technology, Taiwan, Province of China
- Jain, Sanjay, National University of Singapore, Singapore
- Khatua, Chidananda, Intel Corporation Inc., USA
- Kiper, Ayse, Middle East Technical University, Turkey
- Kohout, Ladislav J., Florida State University, USA
- Koukam, Abderrafiaa, Université de Technologie de Belfort Montbéliard, France
- Langari, Reza, Texas A&M University, USA
- Liu, Feng, Wuhan University, China
- Ma, Maode, Nanyang Technological University, Singapore
- Mahalik, N. P., California State University, Fresno, USA
- Mahapatra, Rabi N, Texas A&M University, USA
- Misra, Subhas C., IIT Kanpur, India
- Mitra, Pabitra, Indian Institute of Technology Kharagpur, India
- Phillips-Wren, Gloria, Loyola University Maryland, USA
- Reddy, P. Krishna, International Institute of Information Technology, India
- Serhani, M. Adel, United Arab Emirates University, United Arab Emirates
- Shafazand, M. Hassan, Shahid Bahonar University of Kerman, Iran
- Shan, Tony C., Wachovia Bank, USA
- Shukla, Anupam, Indian Institute of Information Technology and Management, Gwalior (ABV-IIITM), India
- Soto Acosta, Pedro, University of Murcia, Spain
- Trappl, Robert, Austrian Research Institute for Artificial Intelligence (OFAI), Austria
- Tzafestas, Spyros, National Technical University, Greece
- Yeap, Wai-Kiang, Auckland University of Technology, New Zealand
- Zhang, Yudong, Nanjing Normal University, China
- Zorat, Alessandro, University of Trento, Italy
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- This is an Open Access-only journal. There is an article processing charge of USD $1500 to publish in this journal. From 15th August 2024 the article processing charge will change to USD $1600. You can find more information on Open Access here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
Journal news
Minting wafer thin defect detection
16 September, 2024
Research published in the International Journal of Information and Communication Technology may soon help solve a long-standing challenge in semiconductor manufacture: the accurate detection of surface defects on silicon wafers... The usual way to spot defects on silicon wafers has been done manually, with human operators examining each wafer by eye. This is both time-consuming and error-prone due to the fine attention to detail required. As wafer production has ramped up globally to meet demand and the defects themselves have become harder to detect by eye, the limitations of this approach have become more apparent. Chen Tang, Lijie Yin and Yongchao Xie of the Hunan Railway Professional Technology College in Zhuzhou, Hunan Province, China explain that automated detection systems have emerged as a possible solution. These too present efficiency and accuracy issues in large-scale production environments. As such, the team has turned to deep learning, particularly convolutional neural networks (CNNs), to improve wafer defect detection [...]
More details...From clickbait to algorithmic insight
17 September, 2024
The media landscape is increasingly complicated. It is also plagued by sensationalism and a disconnection between media literacy and management practices. Many observers worry about the proliferation of 'click bait' and "fake news". Misleading reports rife with hyperbole exacerbate the problems faced by many people, and the distortion of serious issues creates a turbulent environment where the lines between information, disinformation, and misinformation are often blurred. Moreover, the lack of a clear distinction between the news and the public relations and marketing output of companies, especially in the age of influencers, is also of increasing concern. Research in the International Journal of Information and Communication Technology, suggests that the only way to address these problems is to make a determined shift towards more rigorous news ethics, adapted to the modern media environment. An Shi of Fujian Business University, in Fuzhou, Fujian, China, points out that the use of mathematical algorithms, specifically the Fredholm integral equation algorithm, could help us tackle many of the complex problems we have with the news media. Despite the often negative press about artificial intelligence (AI), ironically it is the use of machine learning, trained algorithms, and neural networks that might provide us with an escape route from the era of clickbait and fake news [...]
More details...Algorithmic boost for multiplayer gaming
18 September, 2024
Online gaming is increasingly popular. As such, server efficiency is becoming an increasingly urgent priority. With millions of players interacting in real-time, game servers are under enormous pressure to process a huge amount of data without latency (delays) or crashes. Research in the International Journal of Information and Communication Technology discusses an innovative solution to the problem, offering a promising path to greater stability and performance in mobile real-time strategy games and beyond. WenZhen Wang of the Animation Art Department at Zibo Vocational Institute, Zibo, Shandong, China, hope to address the most critical issue in online multiplayer games – load balancing to ensure there is a high level of concurrency and interactivity. Load balancing refers to the distribution of work across multiple servers to prevent any one server from being overwhelmed. If a server receives too many requests at once, it can slow down, leading to frustrating lag or even server crashes. Ensuring efficient distribution of this workload is essential to maintaining a seamless gaming experience [...]
More details...A new twist on spotting fires starting
19 September, 2024
A new system aimed at improving the monitoring and detection of forest fires through advanced real-time image processing is reported in the International Journal of Information and Communication Technology. The work could lead to faster and more accurate detection and so help improve the emergency response to reduce the environmental, human, and economic impacts. Zhuangwei Ji and Xincheng Zhong of Changzhi College, in Shanxi, China, describe an image segmentation model based on STDCNet, an enhanced version of the BiseNet model. Image segmentation involves classifying areas within an image to allow flames and forest background to be differentiated. The STDCNet approach can extract relevant features efficiently without demanding excessive computational resources [...]
More details...Keep up-to-date
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