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Development of Energy-sensitive Cluster Formation and Cluster Head Selection Technique for Large and Randomly Deployed WSNs
Energy efficiency in wireless sensor networks (WSNs) is a critical issue because batteries are used for operation and communication. In terms of scalability, energy efficiency, data integration, and resilience, WSN-cluster-based routing algorithms often outperform routing algorithms without clustering. Low-energy adaptive clustering hierarchy (LEACH) is a cluster-based routing protocol with a high transmission efficiency to the base station. In this paper, we propose an energy consumption model for LEACH and compare it with the existing LEACH, advanced LEACH (ALEACH), and power-efficient gathe...
Journal of information and communication convergence engineering 2024; 22(1): 1-6
U-Net-based Recommender Systems for Political Election System using Collaborative Filtering Algorithms
User preferences and ratings may be anticipated by recommendation systems, which are widely used in social networking, online shopping, healthcare, and even energy efficiency. Constructing trustworthy recommender systems for various applications, requires the analysis and mining of vast quantities of user data, including demographics. This study focuses on holding elections with vague voter and candidate preferences. Collaborative user ratings are used by filtering algorithms to provide suggestions. To avoid information overload, consumers are directed towards items that they are more likely t...
Journal of information and communication convergence engineering 2024; 22(1): 7-13
Wide-Bandwidth Wilkinson Power Divider for Three-Way Output Ports Integrated with Defected Ground Structure
This study presents the design of a Wilkinson power divider for three-way output ports (WPD3OP), which incorporates a defected ground structure (DGS). An asymmetric power divider is integrated into the output ports of the conventional Wilkinson power divider (WPD), establishing a three-way output port configuration. The DGS introduces periodic or irregular patterns into the ground plane to suppress unwanted electromagnetic wave propagation, and its incorporation can enhance the performance of the power divider, in terms of the power-division ratio, isolation, and bandwidth, by reducing spuriou...
Journal of information and communication convergence engineering 2024; 22(1): 14-22
Measuring Acceptance Levels of Webcast-Based E-Learning to Improve Remote Learning Quality Using Technology Acceptance Model
This study aims to improve the quality of distance learning by developing webcast-based e-learning media and integrating it into an e-learning platform for functional job training purposes at the National Research and Innovation Agency, Indonesia. This study uses a Technology Acceptance Model (TAM) to assess and predict user perceptions of information systems using webcast platforms as an alternative to conventional applications. The research method was an online survey using Google Forms. Data collected from 136 respondents involved in practical job training were analyzed using structural equ...
Journal of information and communication convergence engineering 2024; 22(1): 23-32
Construction of Text Summarization Corpus in Economics Domain and Baseline Models
Automated text summarization (ATS) systems rely on language resources as datasets. However, creating these datasets is a complex and labor-intensive task requiring linguists to extensively annotate the data. Consequently, certain public datasets for ATS, particularly in languages such as Thai, are not as readily available as those for the more popular languages. The primary objective of the ATS approach is to condense large volumes of text into shorter summaries, thereby reducing the time required to extract information from extensive textual data. Owing to the challenges involved in preparing...
Journal of information and communication convergence engineering 2024; 22(1): 33-43
Deep Learning Framework with Convolutional Sequential Semantic Embedding for Mining High-Utility Itemsets and Top-N Recommendations
High-utility itemset mining (HUIM) is a dominant technology that enables enterprises to make real-time decisions, including supply chain management, customer segmentation, and business analytics. However, classical support value-driven Apriori solutions are confined and unable to meet real-time enterprise demands, especially for large amounts of input data. This study introduces a groundbreaking model for top-N high utility itemset mining in real-time enterprise applications. Unlike traditional Apriori-based solutions, the proposed convolutional sequential embedding metrics-driven cosine-simil...
Journal of information and communication convergence engineering 2024; 22(1): 44-55
Similar Image Retrieval Technique based on Semantics through Automatic Labeling Extraction of Personalized Images
Despite the rapid strides in content-based image retrieval, a notable disparity persists between the visual features of images and the semantic features discerned by humans. Hence, image retrieval based on the association of semantic similarities recognized by humans with visual similarities is a difficult task for most image-retrieval systems. Our study endeavors to bridge this gap by refining image semantics, aligning them more closely with human perception. Deep learning techniques are used to semantically classify images and retrieve those that are semantically similar to personalized imag...
Journal of information and communication convergence engineering 2024; 22(1): 56-63
Prospect Analysis for Utilization of Virtual Assets using Blockchain Technology
Blockchain is a decentralized network in which data blocks are linked. Through a decentralized peer-to-peer network, users can create shared databases, resulting in a trustworthy and aggregated database known as a blockchain that enhances reliability and security. The distributed nature of the blockchain enables data to be stored on multiple nodes, eliminating the need for a central server or platform. This disintermediation significantly reduces the transaction and administrative costs. The blockchain is particularly valuable in applications where reliability and stability are critical becaus...
Journal of information and communication convergence engineering 2024; 22(1): 64-69
Single-Image Dehazing based on Scene Brightness for Perspective Preservation
Bad weather conditions such as haze lead to a significant lack of visibility in images, which can affect the functioning and reliability of image processing systems. Accordingly, various single-image dehazing (SID) methods have recently been proposed. Existing SID methods have introduced effective visibility improvement algorithms, but they do not reflect the image’s perspective, and thus have limitations that distort the sky area and nearby objects. This study proposes a new SID method that reflects the sense of space by defining the correlation between image brightness and haze. The pr...
Journal of information and communication convergence engineering 2024; 22(1): 70-79
Manchu Script Letters Dataset Creation and Labeling
The Manchu language holds historical significance, but a complete dataset of Manchu script letters for training optical character recognition machine-learning models is currently unavailable. Therefore, this paper describes the process of creating a robust dataset of extracted Manchu script letters. Rather than performing automatic letter segmentation based on whitespace or the thickness of the central word stem, an image of the Manchu script was manually inspected, and one copy of the desired letter was selected as a region of interest. This selected region of interest was used as a template ...
Journal of information and communication convergence engineering 2024; 22(1): 80-87

Current Issue Volume 22, Number 1, March 2024


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It has been published since 2003 with a title of International Journal of Maritime Information and Communication Sciences. In 2012, this journal was greatly reformed to further improve the quality of journal, for example, title, research areas and policy of journal etc. The title was changed from the year of 2012 as Journal of Information and Communication Convergence Engineering.

Aims and Scope

Journal of Information and Communication Convergence Engineering (J. Inf. Commun. Converg. Eng., JICCE) is an official English journal of the Korea Institute of Information and Communication Engineering (KIICE). It is an international, peer reviewed, and open access journal that is published quarterly in March, June, September, and December. Its objective is to provide rapid publications of original and significant contributions and it covers all areas related to information and communication convergence engineering including the following areas: communication system and applications, networking and services, intelligent information system, multimedia and digital convergence, semiconductors and communication devices, imaging and biomedical engineering, and computer vision and autonomous vehicles.

Journal of Information and Communication Convergence Engineering Jouranl of information and
communication convergence engineering
(J. Inf. Commun. Converg. Eng.)

eISSN 2234-8883
pISSN 2234-8255