• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 I
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• pp.465-468
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• 2003

In industry areas, a lot of factories and process plants need network for processing data acquired from field and for communicating between sensors or actuators or field controllers. Most of the industry networks are based on wired solutions. But, recently, a lot of factories and process plants are moving into wireless solutions since they have some advantages compared with wired one. In this paper we first review the characteristics of wired and wireless network technologies and introduce the new technique called wireless sensor network (WSN). And then we describe the wireless sensor node system designed by us for WSN which has the ability of small size, flexibility and low-power consumption and embedded into the Bar-code scanner to communicate each other. Finally, we conclude this paper by showing that wireless industry network can be constructed with wireless sensor network without large change of traditional wired topologies through experiment using wireless sensor nodes.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 하계학술대회 논문집
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• pp.539-541
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• 1990

Hopfield crossbar assosiative network을 기초로한 개선된 Hopfield neural network을 제안하고, 이 network이 NP-complete 문제에 대한 효과적인 tool임을 보였다. 이 모델을 YLSI routing을 위한 layer assignment 문제에 응용하였고, 결과 이 개선된 Hopfield model이 stability와 accuracy를 향상시킴을 보여 주었다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2004년도 춘계학술발표대회
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• pp.1529-1532
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• 2004

A Mobile Ad Hoc NETwork (MANET) is a collection of wireless mobile nodes that forms a temporary network without the need for any existing network infrastructure or centralized administration. Therefore, such a network is designed to operate in a highly dynamic environment due to node mobility. In mobile ad hoc network, frequent topological changes cause routing a challenging problem and without the complete view of the network topology, establishing the shortest path from the source node to the destination node is difficult. In this paper, we suggest a routing approach which utilizes location information to setup the shortest possible path between the source node and the destination node. Location information is obtained through Global Positioning System (GPS) and this geographical coordinate information of the destination node is used by the source node and intermediate nodes receiving route request messages to determine the shortest path to the destination from current node.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.394-400
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• 2022

The radio resources available in a wireless network system are limited. Therefor, job of managing resources is not easy task. Because the resources are shared among the UEs that are connected, the process of assigning resources must be carefully controlled. The packet scheduler in an LTE network is in charge of allocating resources to the user equipment (UE). Femtocells networks are being considered as a promising solution for poor channel performance for mulitple environments. The implementation of femtocells into a macrocell (traditional base station) would boost the capacities of the cellular network. To increase femtocells network capacity, a reliable Packet Scheduler mechanism should be implemented. The Packet Scheduler technique is introduced in this paper to maximize capacity of the network while maintaining fairness among UEs. The proposed solution operates in a manner consistent with this principle. An analysis of the proposed scheme's performance is conducted using a computer simulation. The results reveal that it outperforms the well-known PF scheduler in terms of cell throughput and average throughput of UEs.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.139-144
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• 2022

Technological advancements taken the health care industry by a storm by embedding sensors in human body to measure their vitals. These smart solutions provide better and flexible health care to patients, and also easy monitoring for the medical practitioners. However, these innovative solutions provide their own set of challenges. The major challenge faced by embedding sensors in body is the issue of lack of infinite energy source. This work presents a meta-heuristic based routing model using modified PSO, and adopts an energy harvesting scheme to improve the network lifetime. The routing process is governed by modifying the fitness function of PSO to include charge, temperature and other vital factors required for node selection. A reactive routing model is adopted to ensure reliable packet delivery. Experiments have been performed and comparisons indicate that the proposed Energy Harvesting and Modified PSO (EHMP) model demonstrates low overhead, higher network lifetime and better network stability.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.107-118
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• 2024

With the seamless growth of the technology, network usage requirements are expanding day by day. The majority of electronic devices are capable of communication, which strongly requires a secure and reliable network. Network-based intrusion detection systems (NIDS) is a new method for preventing and alerting computers and networks from attacks. Machine Learning is an emerging field that provides a variety of ways to implement effective network intrusion detection systems (NIDS). Bagging and Boosting are two ensemble ML techniques, renowned for better performance in the learning and classification process. In this paper, the study provides a detailed literature review of the past work done and proposed a novel ensemble approach to develop a NIDS system based on the voting method using bagging and boosting ensemble techniques. The test results demonstrate that the ensemble of bagging and boosting through voting exhibits the highest classification accuracy of 99.98% and a minimum false positive rate (FPR) on both datasets. Although the model building time is average which can be a tradeoff by processor speed.

• Asian Journal of Innovation and Policy
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• 제6권1호
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• pp.85-93
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• 2017

This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

• 컴퓨터교육학회논문지
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• 제16권2호
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• pp.39-48
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• 2013

본 연구에서는 신경망을 활용하여 청소년의 컴퓨터 오락추구 행동을 설명하는 예측모형을 조사하고자 하였다. 이를 위해 한국청소년 패널 조사(KYPS)의 중 2패널의 1차년도 데이터(총 3449명, 남: 1725명, 여: 1724명)를 대상으로 하여 신경망 모형(모형 1)을 구축하였다. 또한 신경망 모형의 성능을 분석하고자 로지스틱 회귀 분석을 실시하고 로지스틱 회귀 분석과의 보다 정확한 비교를 위해 동일한 변수를 입력데이터 값으로 하는 신경망 모형(모형 2)도 구축하여 세 모형의 예측율을 비교하였다. 그 결과, 신경망 모형 1이 가장 높은 분류적중율을 나타냈으며, 이 모형에 따라 성별, 컴퓨터사용시간, 가구월평균소득, 친한친구수, 비행친구수, 개인공부시간, 자기통제력, 사교육시간, 여가시간, 자기신뢰감, 스트레스, 학교적응, 공부고민 등의 변수들로 청소년의 컴퓨터 오락추구 행동을 예측하는 것이 보다 정확하고 효율적임을 제시하였다. 본 연구의 결과는 청소년의 컴퓨터 오락추구 행동을 예측하고 진단하거나 적절하게 조절 대처하는데 사용될 수 있음을 제언한다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.117-122
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• 2021

In order to reveal the co-research relationship with key research institutes in the computer field in Korea, which have high competitiveness in the ICT field, this paper analyzes the co-author network of research institutes based on the papers of Korean journals. For this study, 15 computer journals published in Korea were selected and collected for the past 5 years. In addition, authors, affiliated institutions, and country information were extracted from the papers, and experimental data were produced using institutional identification data and SNA analysis techniques. Through this, statistical analysis was performed on researchers, research institutes, and countries, and the centrality of research institutes was measured through co-authored network analysis and visualized as a map. The results of the research that analyzed the co-author relationship based on the papers in computer science journals published in Korea are as follows. First, the status of co-author relations among researchers was statistically analyzed in detail. The number of authors, the number of co-authors, and statistics by co-authoring countries, as well as the ratio of co-authored research by institution and the ratio of co-authored by country were revealed. The co-authoring status of papers in English journals was analyzed separately to compare and analyze characteristics. Second, the centrality of each individual was measured through the co-authored network analysis of the identified researchers, institutions and countries affiliated with the institution, and the frequency of connection between data by level was identified. In addition, the co-authorization network between research institutes was visualized and presented as a map so that the overall view of the co-authoring network was presented, and the connection frequency between the institutes was checked. It is possible to recommend a research partner based on the co-authoring behavior of Korean computer researchers and the co-authoring relationship between major research institutes. For this, additional research is needed to analyze the subject areas of each institution.

• KNOM Review
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• 제23권1호
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• pp.1-9
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• 2020

최근 과학 기술의 급격한 발전에 따라 네트워크 시장 및 환경이 커지는 중이며, 막대한 양의 트래픽이 발생하고 있다. 특히 5G 네트워크, 엣지 컴퓨팅의 발전으로 이러한 현상은 더욱 가속화 될 전망이다. 하지만 이러한 추세에 따라 네트워크상에서 발생하는 트래픽 과부하, 악성 행위 등의 장애 현상도 빈번하게 발생하고 있다. 네트워크 관리자는 이러한 문제점을 해결하고, 초고속 네트워크를 구현하기 위해 네트워크 관리 시스템을 구축해야 하며, 네트워크 관리 시스템을 통해서 네트워크 장비들의 연결 구성에 대해 정확하게 알아야한다. 하지만 기존 네트워크 토폴로지 탐색 방법은 관리자가 수동으로 관리하기 때문에 비효율적이며, 시간 및 비용이 많이 든다는 문제점이 있다. 따라서 본 논문에서는 네트워크 트래픽의 입출량에 따른 네트워크 토폴로지 구성 방법을 제안한다. 제안하는 방법을 실제 네트워크 장비에 적용하여 본 논문의 타당성을 검증한다.