• Annual Conference of KIPS
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• 2014.04a
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• pp.305-308
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• 2014

인간은 성격에 따라 이동패턴이 변화한다고 한다. 이런 점에서 인간의 성격 데이터를 이용하면, 인간의 행동 패턴을 유추해 낼 수 있다. 우리는 실제 실험자들의 GPS데이터와 BFI성격 데이터를 수집하고. Back Propagation Network를 이용하여, 새로운 위치 데이터를 추론하는 과정을 설명하였다. 논문의 내용은 다음과 같다. 첫 번째로 BFI(Big-Five Inventory) 성격평가에 대해 설명한다. 두 번째로 GPS데이터와 성격 데이터를 실험에 적절한 형태로 변환하는 방법에 대해 언급하고, 세 번째로 변환된 데이터를 이용하여 사람의 새로운 위치 정보를 추론할 것이다. 마지막으로 해당 실험의 결과 및 분석 그리고 앞으로의 연구 방향에 대해 언급할 것이다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.2
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• pp.229-236
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• 2016

In this paper, we suggest new technology that can draw characters at a long distance by tracking a hand and analysing the trajectories of hand positions. It's difficult to recognize the shape of a character without discriminating effective strokes from all drawing strokes. We detect end points from input trajectories of a syllable with camera system and localize strokes by using detected end points. Then we classify the patterns of the extracted strokes into eight classes and finally into two categories of stroke that is part of syllable and not. We only draw the strokes that are parts of syllable and can display a character. We can get 88.3% in classification accuracy of stroke patterns and 91.1% in stroke type classification.

• Journal of the Korean Geographical Society
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• v.50 no.2
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• pp.203-216
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• 2015

This paper examined the changes of urban system through the network and the flow pattern reflected in daily movement in Korea. Because daily movement reflects trip pattern, urban system formed by inter-city linkages can be recognized in terms of living sphere. While population movements between cities have the number of linkage systems of city network and the number of traffic regions composed of the origin and destination has increased respectively. Nevertheless, spatial extent of Capital region and Busan region has been expanded. In Gangwon-do in which Seoul-oriented high-speed transportation network has developed, separation of living sphere between Yeongdong area and the Soyanggang cultural region formed around Chuncheon was intensified. Living sphere that includes Daejeon and the surrounding cities has been expanded to the southern Gyeonggi-do. The existing living sphere formed in Jeollanam-do was fragmented into the east and west around Mokpo and Suncheon due to the weakened centrality of Gwangju. Living spheres formed by spatial interaction were consistent with regional administrative boundary. Considering the increased interaction between Seoul and its surrounding cities, the development of global city-region centered on Seoul is expected.

• The Journal of the Petrological Society of Korea
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• v.26 no.2
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• pp.153-163
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• 2017

The Naeyeonsan Tuff is a stratigraphic unit which is distinguished as a cooling unit in the volcanic rocks of the northern Pohang. The Naeyeonsan Tuff, which is composed of crystals of plagioclase, quartz and hornblende, glasses of pumice and shard, and lithics of dacite, rhyolite, sandstone and shale, belongs to a lapilli tuff field according to the granulometric classification and to a vitric tuff field according to the constituent classification. The tuffs mostly develop welding foliations by dense welding and flatterning pumices and shards, and show several flow indicators by pyroclastic flowing. We can know a movement pattern from flow lineations and imbrications by pumices and lithics, and lateral gradings in isopleth map by average largest lithics and pumices in the Naeyeonsan Tuff, which indicate that the Naeyeonsan Tuff had a possible source area from the southeastern part.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.343-346
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• 2009

Since an LFSR as a pattern generator has solely linear dependency in itself, it generates sequences by moving the bit positions for a pattern generation. So the correlation between the generated patterns is high and thus reduces the possibility of fault detection. To overcome these problems many researchers have studied to have goodness of randomness between the output test patterns. In this paper, we propose the new and effective method to construct phase shifter as PRPG.

• The Transactions of the Korea Information Processing Society
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• v.5 no.10
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• pp.2627-2640
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• 1998

In this paper, we analyze the performance of the virtual cell system[1] for the transmission of IP datagrams in mobile computer communications. A virtual cell consistsof a group of physical cells shose base stationsl are implemented b recote bridges and interconnected via high speed datagram packet switched networks. Host mobility is supported at the data link layer using the distributed hierachical location information of mobile hosts. Given mobility and communication ptems among physical cells, the problem of deploying virtual cells is equivalent to the optimization cost for the entire system where interclster communication is more expesive than intracluster communication[2]. Once an iptimal partitionof disjoint clusters is obtained, we deploy the virtual cell system according to the topology of the optimal partition such that each virtual cell correspods to a cluser. To analyze the performance of the virtual cell system, we adopt a BCMP open multipel class queueing network model. In addition to mobility and communication patterns, among physical cells, the topology of the virtual cell system is used to determine service transition probabilities of the queueing network model. With various system parameters, we conduct interesting sensitivity analyses to determine network design tradeoffs. The first application of the proposed model is to determine an adequate network bandwidth for base station networking such that the networks would not become an bottleneck. We also evaluate the network vlilization and system response time due to various types of messages. For instance, when the mobile hosts begin moving fast, the migration rate will be increased. This results of the performance analysis provide a good evidence in demonsratc the sysem effciency under different assumptions of mobility and communication patterns.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.1
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• pp.53-60
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• 2014

Redundant handovers cause degraded quality of service to passengers in vehicle. This paper proposes a handover scheme suitable for users traveling in vehicles, which enables continuous learning of the handover process using a discrete-time Markov chain (DTMC). Through AdaBoost machine learning algorithm, the proposed handover scheme avoids unnecessary handover trials when a short dwell time in a target cell is expected or when the target cell is an intermediate cell through which the vehicle quickly passes. Simulation results show that the proposed scheme reduces the number of handover occurrences and maintains adequate throughput.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.371-378
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• 2004

As an agent is applied into various fields, it is suggested as the paradigm of new application technology in the area of computer communication. However, the mobile agent brines the problem of security on an agent due to mobility. This study proposals the mobile agent protection protocol framework for more effective protection and safety. The designed Framework of protocol uses the public ky, the private key and the digital signature in PKI environment based on JAVA. This is the mechanism accomplishing safely the work of an agent by tracking the pattern of execution and the mobility plan through the VS(verification server). This also secures the suity and the flawlessness of an agent through the VS guaranteeing safety from malicious attacks.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.185-190
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• 2006

Most systems in ubiquitous computing analyze context information of users which have similar propensity with demographics methods and collaborative filtering to provide personalized recommendation services. The systems have mostly used static context information such as sex, age, job, and purchase history. However the systems have limitation to analyze users' propensity accurately and to provide personalized recommendation services in real-time, because they have difficulty in considering users situation as moving path. In this paper we use users' moving path of dynamic context to consider users situation. For the prediction accuracy we complete with a path completion algorithm to moving path which is inputted to RSOM. We train the moving path to be completed by RSOM, analyze users' moving pattern and predict a future moving path. Then we recommend the nearest product on the prediction path with users' high preference in real-time. As the experimental result, MAE is lower than 0.5 averagely and we confirmed our method can predict users moving path correctly.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.75-79
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• 2005

최근에 모바일 기기의 급속한 발전과 더불어 다양한 서비스들이 개발되고 있다. 그 중에서도 위치 기반 서비스는 사용자에게 위치와 관련된 유용한 정보를 제공하는 서비스를 말한다. 효과적인 서비스를 제공하기 위해서는 먼저 위치정보를 나타내는 이동 객체 관련기술 연구가 선행되어야 한다. 이러한 연구의 핵심 기술로 현재 빈발한 이동 객체 탐사를 위한 마이닝 기법들에 관한 연구가 진행되고 있다. 본 연구에서는 기존의 수평적 마이닝 기법에서 문제시되었던 많은 후보 이동 객체 발생을 줄이기 위해 새로운 수직적 마이닝 기법을 적용한 방법을 제안한다.