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Design of 5-order Interdigital Band-Pass Filter
This study proposed an interdigital band-pass filter based on the microstrip transmission line. When designing a conventional structure for an interdigital filter based on the characteristics of the 5th order transmission line, seven resonators are required. By changing the impedance of the resonator adjacent to the feed line, the proposed interdigital band-pass filter was designed to reduce the number of resonators compared to conventional interdigital band-pass filters. Consequently, the resonator order decreased, and return and insertion losses become comparable to that in case of a convent...
Journal of information and communication convergence engineering 2024; 22(3): 173-180
Data Transmission Method Using SATIN-based NOMA to Enhance Future Combat Capabilities
Herein, an innovative transmission technique that utilizes the satellite aerial terrestrial integrated network (SATIN) architecture in combination with non-orthogonal multiple access (NOMA) communications is proposed. This approach is designed to significantly enhance communication rates, which is critical for modern and future combat capabilities. The effectiveness of the proposed transmission system is validated by conducting a comparative analysis of the sum-throughput results, considering various numbers of transmission nodes within the SATIN structure. The results and analyses reveal that...
Journal of information and communication convergence engineering 2024; 22(3): 181-188
5G and Internet of Things: Next-Gen Network Architecture
This study examined the integrated benefits of 5G New Radio, network slicing, and reinforcement learning (RL) mechanisms in addressing the challenges associated with the increasing proliferation of intelligent objects in communication networks. This study proposed an innovative architecture that initially employed network slicing to efficiently segregate and manage various service types. Subsequently, this architecture was enhanced by applying RL to optimize the subchannel and power allocation strategies. This dual approach was proven through simulation studies conducted in a suburban setting,...
Journal of information and communication convergence engineering 2024; 22(3): 189-198
Differential Authentication Scheme for Electric Charging System through Light Gradient Boosting Machine
The network security of Plug-and-Charge (PnC) technology in electric vehicle charging systems is typically achieved through the well-known Transport Layer Security (TLS) protocol, which causes high communication overhead. To reduce this overhead, a differential authentication method employing different schemes for individual users has been proposed. However, decisions use a simple threshold approach and no quantitative performance evaluation should be made. In this study, we determined each user’s trust using several machine learning algorithms with their charging patterns and compared t...
Journal of information and communication convergence engineering 2024; 22(3): 199-206
New Tree Routing Protocol with Adaptive Metrics Based on Hop Count
In wireless sensor networks, the implementation of routing protocols is crucial owing to their limited computational capacities. Tree routing is a suitable method in wireless sensors owing to its minimal routing overhead. However, single-hop metric schemes, such as hop count, cause congestion at specific nodes, whereas multiple metric schemes cannot control dynamically changing network environments. To address these issues, we propose a scheme to implement enhanced tree routing with adaptive metrics based on hop count. This approach assigns different weights to metrics to select suitable paren...
Journal of information and communication convergence engineering 2024; 22(3): 207-214
Optimal Terminal Interconnections Using Minimum Cost Spanning Tree of Randomly Divided Planes
This paper presents an efficient method for expanding interconnections in scenarios involving the reconstruction of interconnections across arbitrarily divided planes. Conventionally, such situations necessitate rebuilding interconnections based on all targets, ensuring minimal cost but incurring substantial time expenditure. In this paper, we present a tinkered tree algorithm designed to efficiently expand interconnections within a Euclidean plane divided into m randomly generated regions. The primary objective of this algorithm is to construct an optimal tree by utilizing the minimum spannin...
Journal of information and communication convergence engineering 2024; 22(3): 215-220
Marine life Image Recognition using Deep Learning
The aim of this study is to investigate the automatic recognition and analysis of Jeju marine-life images using artificial intelligence (AI) technology. The dataset of marine-life images was prepared using tools such as Python, TensorFlow, and Google Colab (Google Colaboratory). We also developed models by training deep learning AI in image recognition to automatically recognize the species found in these images and extract their associated information, such as taxonomy, characteristics, and distribution. This study is innovative in that it uses deep learning technology combined with image-rec...
Journal of information and communication convergence engineering 2024; 22(3): 221-230
Identification of Partial Discharge Defect Detection in Cast-Resin Power Transformers Using Back-Propagation Algorithm
This paper presents a method used to identify partial discharge defects in cast-resin power transformers using a back-propagation algorithm. The Rogowski-type partial discharge (PD) sensor was designed with a planar and thin structure based on a printed circuit board to detect PD signals. PD electrode systems, such as metal protrusions, particle-on-insulators, delamination, and void defects, were fabricated to simulate the PD defects that occur in service. PD characteristics, such as rising time, falling time, pulse width, skewness, and kurtosis without phase-resolved partial discharge pattern...
Journal of information and communication convergence engineering 2024; 22(3): 231-236
Implementation of an Intelligent Automatic Notification System Based on Bluetooth Beacons and Smart Phones
In this study, we aim to implement an intelligent automatic notification system based on Bluetooth beacons and smartphones to prevent accidents caused by children being left in vehicles while commuting to school during summer or winter. This is a problem that is emerging as safety accidents occur owing to negligence in vehicles. Although teachers solutions, such as checking children’s attendance, safety accidents o ccur f req uently e very y ear. B ecause the continuous occurrence of safety accidents, parents’ anxiety about accidents is increasing, and various accident prevention m...
Journal of information and communication convergence engineering 2024; 22(3): 237-241
Improved Fuzzy-associated Memory Techniques for Image Recovery
This paper introduces an improved fuzzy association memory (IFAM), an advanced FAM method based on the T-conorm probability operator. Specifically, the T-conorm probability operator fuzzifies the input data and performs fuzzy logic operations, effectively handling ambiguity and uncertainty during image restoration, which enhances the accuracy and effectiveness of the restoration results. Experimental results validate the performance of IFAM by comparing it with existing fuzzy association memory techniques. The root mean square error shows that the restoration rate of IFAM reached 80%, compared...
Journal of information and communication convergence engineering 2024; 22(3): 242-248
Simulator-Driven Sieving Data Generation for Aggregate Image Analysis
Advancements in deep learning have enhanced vision-based aggregate analysis. However, further development and studies have encountered challenges, particularly in acquiring large-scale datasets. Data collection is costly and time-consuming, posing a significant challenge in acquiring large datasets required for training neural networks. To address this issue, this study introduces a simulation that efficiently generates the necessary data and labels for training neural networks. We utilized a genetic algorithm (GA) to create optimized lists of aggregates based on the specified values of weight...
Journal of information and communication convergence engineering 2024; 22(3): 249-255
Realtime Analysis of Sasang Constitution Types from Facial Features Using Computer Vision and Machine Learning
Sasang constitutional medicine (SCM) is one of the best traditional therapeutic approaches used in Korea. SCM prioritizes personalized treatment that considers the unique constitution of an individual and encompasses their physical characteristics, personality traits, and susceptibility to specific diseases. Facial features are essential for diagnosing Sasang constitutional types (SCTs). This study aimed to develop a real-time artificial intelligence-based model for diagnosing SCTs using facial images, building an SCTs prediction model based on a machine learning method. Facial features from a...
Journal of information and communication convergence engineering 2024; 22(3): 256-266

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About JICCE

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Background

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