• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.175-178
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• 2007

기존의 싱글 로봇 시스템이 할 수 없거나 하기 어려운 작업을 다개체 이동 로봇 시스템을 사용함으로써 수행 할 수 있게 되었으며, 로봇 간의 협력적인 작업을 통하여 성능 향상을 가져오게 되었다. 이러한 장점 때문에 상용화가 잘 이루어진 청소 로봇에서도 다개체 로봇 시스템 적용에 대한 연구가 이루어지고 있다. 하지만 기존의 다개체 청소로봇 시스템은 고가의 매핑 방식 청소 로봇을 사용하기 때문에 비용적인 문제에 있어서 큰 문제를 가지고 있다. 그렇기 때문에 본 논문에서는 인간과의 상호 보완 알고리즘을 이용한 청소로봇을 다개체 청소 로봇 시스템에 적용하여 가격적인 단점을 보완하려고 한다. 하지만 인간과의 상호 보완 알고리즘을 이용한 청소 로봇을 그대로 다개체 청소 로봇 시스템에 적용할 수 없기 때문에 이를 보완할 수 있는 방안을 제안하고자 한다.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.1-9
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• 2019

This study was carried out to compare stand structure and dynamics in Abies koreana forest in Yeongsil area of Mt. Hallasan between 2011 and 2017 by analysing DBH distribution, tree vitality, importance value (IV) and species diversity through the national long-term ecological research project conducted by National Institute of Environmental Research. As a result of DBH distribution, A. koreana decreased in all DBH class except 20-25 cm and the number of individual decreased by 16.3 percent from 780 to 655. As a result of tree vitality of A. koreana, the number of standing alive (AS) decreased by 16.2 percent from 652 to 546, while that of standing dead (DS) increased by 15.8 percent from 106 to 126 and that of fallen dead (DF) increased by 193.7 percent from 16 to 47, respectively. Importance value of A. koreana decreased by 2.4 percent point from 45.9 % to 43.5 %. Species diversity increased by 0.006 from 0.513 to 0.519. The weakening of the A. koreana in the Yeongsil area of Mt. Hallasan could be considerably supported by many aspects such as DBH distribution, tree vitality and importance value. Therefore, Long-term ecological monitoring and continuously research in that area should be conducted to clarify the effects of ecosystem changes.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.3
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• pp.129-136
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• 2019

There are a variety of entities in natural language such as people, organizations, places, and products. These entities can have many various meanings. The ambiguity of entity is a very challenging task in the field of natural language processing. Entity Linking(EL) is the task of linking the entity in the text to the appropriate entity in the knowledge base. Pairwise based approach, which is a representative method for solving the EL, is a method of solving the EL by using the association between two entities in a sentence. This method considers only the interdependence between entities appearing in the same sentence, and thus has a limitation of global interdependence. In this paper, we developed an Entity2vec model that uses Word2vec based on knowledge base of RDF type in order to solve the EL. And we applied the algorithms using the generated model and ranked each entity. In this paper, to overcome the limitations of a pairwise approach, we devised a pairwise approach based on comprehensive interdependency and compared it.

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1246-1257
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• 2004

To find an optimal solution with genetic algorithm, it is desirable to maintain the population sire as large as possible. In some cases, however, the cost to evaluate each individual is relatively high and it is difficult to maintain large population. To solve this problem we propose a novel genetic algorithm based on fuzzy clustering, which considerably reduces evaluation number without any significant loss of its performance by evaluating only one representative for each cluster. The fitness values of other individuals are estimated from the representative fitness values indirectly. We have used fuzzy c-means algorithm and distributed the fitness using membership matrix, since it is hard to distribute precise fitness values by hard clustering method to individuals which belong to multiple groups. Nine benchmark functions have been investigated and the results are compared to six hard clustering algorithms with Euclidean distance and Pearson correlation coefficients as fitness distribution method.

• Spatial Information Research
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• v.17 no.4
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• pp.445-454
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• 2009

Beyond simple transfer of information through sensor network, this study will provide the insights about the way to embody the real context aware location based service in an ubiquitous computing environment. In this paper, a new formal approach is introduced to derive knowledge about the scope of influence for a point object. A scope of influence is defined as the conceptual area where there is a possibility of the phenomenon or event occurring because of this point object. A point object can be spatially extended by considering this scope of influence in conjunction with the point. These point objects are called Spatially Extended Point (SEP) objects. Compositions of gradual changes of topological relations between a SEP and the environment near the SEP show how to represent the qualitative spatial behaviors of a SEP objects. These qualitative spatial behaviors will be good standards for Location Based Service (LBS) to provide more subdivided and suitable information to the users.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.89-104
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• 2011

Large-scaled information extraction plays an important role in advanced information retrieval as well as question answering and summarization. Information extraction can be defined as a process of converting unstructured documents into formalized, tabular information, which consists of named-entity recognition, terminology extraction, coreference resolution and relation extraction. Since all the elementary technologies have been studied independently so far, it is not trivial to integrate all the necessary processes of information extraction due to the diversity of their input/output formation approaches and operating environments. As a result, it is difficult to handle scientific documents to extract both named-entities and technical terms at once. In order to extract these entities automatically from scientific documents at once, we developed a framework for scientific core entity extraction which embraces all the pivotal language processors, named-entity recognizer and terminology extractor.

• Journal of Korean Library and Information Science Society
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• v.55 no.1
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• pp.215-237
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• 2024

This study proposes a selection plan for research entities and PIDs and a strategy for building and operating a PID consortium based on a survey of advanced cases of research entities and PID operations in major countries such as the United Kingdom, Germany, Canada, Japan, China, and Australia. The criteria for selecting research entities and PIDs are 'research life cycle' and 'PID infrastructure maturity'. Based on the two selection criteria, it is proposed to prioritize research entity-PID pairs such as 'Researcher-ORCID', 'Publication-DOI', 'Data-DOI', 'Institution-ROR', 'Grant-DOI', and 'Project-RAiD' and expand to other research entities and PIDs in the emerging stage. The strategy for establishing and operating a PID consortium should encourage the participation of various PID stakeholders, identify the latest trends through collaborative networks with domestic and international PID organizations, lead education and outreach activities to raise awareness and increase utilization of PID, and secure policy support and financial stability. This is expected to lay the foundation for domestic research entities to gain visibility and accessibility at the global level.

• Journal of Food Hygiene and Safety
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• v.32 no.1
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• pp.8-13
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• 2017

This study was conducted to develop an agent-based computing platform enabling simulation of on-farm produce contamination by enteric foodborne pathogens, which is herein called PPMCS (Preharvest Produce Microbial Contamination Simulator). Also, fecal contamination of preharvest produce was simulated using PPMCS. Although Agent-based Modeling and Simulation, the tool applied in this study, is rather popular in where socio-economical human behaviors or ecological fate of animals in their niche are to be predicted, the incidence of on-farm produce contamination which are thought to be sporadic has never been simulated using this tool. The agents in PPMCS including crop, animal as a source of fecal contamination, and fly as a vector spreading the fecal contamination are given their intrinsic behaviors that are set to be executed at certain probability. Once all these agents are on-set following the intrinsic behavioral rules, consequences as the sum of all the behaviors in the system can be monitored real-time. When fecal contamination of preharvest produce was simulated in PPMCS as numbers of animals, flies, and initially contaminated plants change, the number of animals intruding cropping area affected most on the number of contaminated plants at harvest. For further application, the behaviors and variables of the agents are adjustable depending on user's own scenario of interest. This feature allows PPMCS to be utilized in where different simulating conditions are tested.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.309-310
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• 2014

분산형 전원 시스템과 마이크로그리드에 대한 관심이 증가함에 따라 다수의 병렬 컨버터의 제어가 중요한 이슈가 되었다. 가장 보편화된 분산 전원의 제어 방법 중 하나는 드룹 방식을 이용한 분산형 제어이다. 다중 전원이 연결된 버스의 전압 품질을 향상시키기 위해 본 논문에서는 드룹 제어에 의한 전압 변동을 해결하기 위한 방법이 제안되었다. 제안된 개체 기반의 전압 회복 기술은 모듈 간 통신을 최소화하는 한편 자율적 운용 특성을 유지한다. 시뮬레이션 및 실험 결과를 통해 제안한 방법을 검증하였다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.213-215
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• 1998

가상현실 시스템을 구현하고자 할 때, 그 환경에 존재하는 개체(entity)들의 복잡한 행위(behavior)를 설계 및 기술하는 것이 쉽지 않을 뿐만 아니라, 사용자와의 상호작용까지 고려한다면 매우 복잡하게 된다. 게다가, 이러한 행위와 상호작용의 설계 및 기술에 대한 정형화된 도구조차 찾기 어려운 것이 사실이다. 이 논문에서는 이러한 행위를 설계할 때, 소프트웨어 공학에서 이용되고 있는 도구 중 하나인 Statecharts와 DFD(Data Flow Diagram)을 기반으로 하는 ASADAL/SIM을 이용하여 설계하고 구현한 예를 들어 프로그래밍이 아닌 다른 도구를 통한 가상환경 내의 개체들의 행위 설계와가 가능함을 보이고, 그로 인해 얻을 수 있는 여러 장점에 관하여 소개한다.