• Convergence Security Journal
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• v.19 no.3
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• pp.51-59
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• 2019

In this paper, we propose a device identification system for network visibility that can maintain the secure internal network environment in the IoT era. Recently, the area of enterprise network is getting huge and more complicated. Not only desktops and smartphones but also business pads, barcode scanners, APs, Video Surveillance, digital doors, security devices, and lots of Internet of Things (IoT) devices are rapidly pouring into the business network, and there are highly risk of security threats. Therefore, in this paper, we propose the device identification system that includes the process and module-specific functions to identify the exploding device in the IoT era. The proposed system provides in-depth visibility of the devices and their own vulnerabilities to the IT manager in company. These information help to mitigate the risk of the potential cyber security threats in the internal network and offer the unified security management against the business risks.

• Journal of the Korean association of regional geographers
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• v.11 no.5
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• pp.405-425
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• 2005

Transition from mass tourism to post tourism is closely related with developing various types of cultural tourism. This study attempts to construct a conceptual framework of the development of cultural tourism through identifying the existing development stages of cultural tourism sites from birth to full development. This study clarifies that there exists an organic system among tourism, cultural activities and the production of cultural artifacts. It also found that development of cultural tourism sites goes through the following three stages: positioning and building place image, hard branding, and constructing local system. This study analyzes several key elements for respective of stages, which proved helpful in understanding the development mechanism of cultural tourism sites. It also tries to analyze tourism from an integrated, geographical perspective. The analysis gives us an understanding to the relations between tourism and various aspects of regional society and economy, thus contributing to the development of a system that will lead to active interchanges among those factors. Most of the theoretical background of this study: place identity, place image, activity space, local system and network are based on the concepts and ideas of human geography.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.147-158
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• 2008

Fuzzy Cognitive Map (FCM) and Bayesian Belief Network (BBN) are two major frameworks for modeling, representing and reasoning about causal knowledge. Despite their extensive use in causal knowledge engineering, there is no reported work which compares their respective roles. This paper aims to fill the gap by providing a qualitative comparison of the two frameworks through a systematic analysis based on some inherent features of the frameworks. We proposed a set of comparison criteria which covers the entire process of causal knowledge engineering, including modeling, representation, and reasoning. These criteria are usability, expressiveness, reasoning capability, formality, and soundness. The results of comparison have revealed some important facts about the characteristics of FCM and BBN, which will help to determine how FCM and BBN should be used, with respect to each other, in causal knowledge engineering.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.227-236
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• 2005

Hierarchical Prefix Delegation (HPD) protocol refers to a type of solution to problems inherent in non-optimal routing which occurs with Network Mobility (NEMO) basic solution. However, because HPD cannot improve the micro-mobility Problems, Problem surfaces each time Mobile Network Node (MNN) changes the attachment point; as happens also in a Mobile IPv6 (MIPv6) protocol in sen야ng Binding Update (BU) messages to Home Agent (HA) / Correspondent Nodes(CNs) By applying Hierarchical Mobile IPv6 protocol concept to HPD, this study Proposes an algorithm for effectively handling micro-mobility problems which occur with HPD in a nested NEMO environment. By sending BU only to nearby Mobility Anchor Point(MAP) during MNN location change within a MAP's domain, the proposed protocol will alleviate service disruption delays and signaling loads during the handover process, overcoming the limitations of HPD.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.147-155
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• 2006

Hierarchical Prefix Delegation (HPD) protocol refers to a type of solution to problems inherent in non-optimal routing which occurs with Network Mobility (NEMO) basic solution. However, because HPD cannot improve the micro-mobility problems, problem surfaces each time Mobile Network Node (MNN) changes the attachment point; as happens also in a Mobile IPv6 (MIPv6) protocol in sending Binding Update (BU) messages to Home Agent (HA) / Correspondent Nodes(CNs). By applying Hierarchical Mobile IPv6 protocol concept to HPD, this study proposes an algorithm for effectively handling micro-mobility problems which occur with HPD in a nested NEMO environment. By sending BU only to nearby Mobility Anchor Point(MAP) during MNN location change within a MAP's domain, the proposed protocol will alleviate service disruption delays and signaling loads during the handover process, overcoming the limitations of HPD.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.63-65
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• 2011

Current general-purpose electromagnetic field simulator has been widespread and is being used to antenna design, EMC design, measurement, and microwave device design, etc. This paper is to solve various electromagnetic problems of X-band region for the purpose multi-core-based PC utilizing network resources more efficiently, and then the electromagnetic field simulator based on TCP / IP-based network topology, configuration, and its framework design is proposed.

• Review of KIISC
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• v.27 no.2
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• pp.46-56
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• 2017

사이버 물리 시스템(CPS, Cyber-Physical Systems)은 높은 신뢰성, 실시간성, 자동제어 특성이 요구되는 기반시설 제조 및 생산, 교통 등 산업분야에서 널리 쓰이고 있다. 센서와 액츄에이터 등의 현장장치를 네트워크 기반으로 일정한 상태를 유지하도록 제어를 담당하는 산업제어시스템이 그 예이다. 하지만, CPS는 네트워크 기반 상호 연결이 중가함에 따라 각종 사이버 공격이 급증하고 있는 추세이다. 이에 따라, CPS 보안 기술 연구의 필요성이 대두되었고, CPS 보안 기술 연구개발에 반드시 필요한 기반 환경으로써, 사이버영영과 물리영역을 포함하는 CPS 테스트베드 기술 연구가 활발히 진행 중에 있다. 본 논문에서는 CPS 관련 테스트베드 기술 동향 분석에 앞서 표준 및 지침에 명시된 CPS 구조에 대해 분석하고, 기존에 연구된 CPS 테스트베드 기술을 CPS의 계층적 구조를 기반으로 구성요소 및 구성방법을 비교 분석한다. 또한, CPS 테스트베드와 연계한 제어프로토콜 지원 현황과 사이버공격 시나리오 특징을 분석한다.

• Journal of Biosystems Engineering
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• v.15 no.4
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• pp.319-327
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• 1990

시스템의 적응 제어함수를 산출하는 네트워크인 소뇌모델 선형조합 회로망을 이용한 학습제어 기법은 시스템에 영향을 주는 제어인자들의 불확실성 및 모델링의 결여에도 불구하고 오히려 안정한 실시간 제어의 구현을 가능하게 함으로써 대단한 관심을 불러 일으켜 왔다. 그러나, 센서로부터의 정보처리와 인식 그리고 복잡한 비선형 시스템의 제어에 적용하기에는 회로망 자체의 내재적 문제점들이 여전히 남아있다. 소뇌모델 선형조합 회로망을 기지 또는 미지의 시스템 모델에 효과적으로 적용하기 위해서는 네트워크에 영향을 주는 제어인자가 시스템에 미치는 영향을 분석하는 것이 필수적이다. 분할 블럭의 크기, 학습이득, 입력편이 그리고 입력변수들의 영역과 같은 네트 제어인자들은 시스템의 학습 능률 및 소요 기억용량의 크기에 중대한 영향을 미침에도 불구하고 충분히 조사되지 못한 실태이다. 물론 이들 제어인자들의 결정에는 학습 대상이 되는 시스템 함수의 형태와 적용 학습 알고리즘이 반드시 고려되어야 한다. 본 논문에서는 학습 능률성에 미치는 이들 제어인자들의 상호영향도를 저자가 제안하였던 기본 학습 알고리즘에 의거하여 조사하였다. 분석적인 방법만으로 이러한 상호영향성을 조사하기는 매우 힘들거나 거의 불가능하다고 보아지기 때문에 학습 대상함수를 먼저 규정하여 다양한 컴퓨터 모의시험을 수행하였고 그 결과를 분석하였다. 컴퓨터 모의시험의 결과에 의하여 회로망의 시스템 적용시 고려할 설계 지침을 제시하였다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.93-101
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• 2010

Although various network management architectures such as centralized, distributed, and hybrid have been presented, any one is not always efficient in all the environment. In this paper, we propose a hierarchical and split network management architecture based on MA+SNMP in order to manage a network of many small NEs distributed over the wide area. Our hierarchical architecture has MA-based proxy management nodes for the flexibility and overhead reduction in NMS as well as SNMP-based NEs considering NE's capacity. Through the analysis with real experiments, we show that our proposal improves some drawbacks and the processing delay of the existing architectures in the given environment.

• Journal of the Korea Computer Graphics Society
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• v.27 no.3
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• pp.65-74
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• 2021

3D reconstruction means that reconstructing the 3D shape of the object in an image and a video. We proposed a progressive occupancy network architecture that can recover not only the overall shape of the object but also the local details. Unlike the original occupancy network, which uses a feature vector embedding information of the whole image, we extract and utilize the different levels of image features depending on the receptive field size. We also propose a novel network architecture that applies the image features sequentially to the decoder blocks in the decoder and improves the quality of the reconstructed 3D shape progressively. In addition, we design a novel decoder block structure that combines the different levels of image features properly and uses them for updating the input point feature. We trained our progressive occupancy network with ShapeNet. We compare its representation power with two prior methods, including prior occupancy network(ONet) and the recent work(DISN) that used different levels of image features like ours. From the perspective of evaluation metrics, our network shows better performance than ONet for all the metrics, and it achieved a little better or a compatible score with DISN. For visualization results, we found that our method successfully reconstructs the local details that ONet misses. Also, compare with DISN that fails to reconstruct the thin parts or occluded parts of the object, our progressive occupancy network successfully catches the parts. These results validate the usefulness of the proposed network architecture.