• 전기전자학회논문지
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• 제19권1호
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• pp.52-57
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• 2015

커패시턴스 용량의 변화를 측정할 수 있는 박막 Si3N4 캔틸레버 센서 어레이를 이용한 질병진단 시스템을 설계하고 구현하였다. 시스템은 32 비트 RISC 프로세서, 메모리, 버스, 통신용 IP, ADC, LCD 디스플레이로 구성되어 있다. 10개 내외의 마커를 이용하여 수십 개의 마커를 사용했을 경우와 같은 정확도를 얻을 수 있는 마커선정 방법을 제안한다. 개발된 진단기의 커패시턴스 분해능은 1fF 이하이고, 트롬빈 10nM 까지 감지할 수 있다.

• Journal of Communications and Networks
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• 제9권4호
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• pp.473-481
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• 2007

Energy efficiency is one of the most critical concerns for wireless sensor networks. By allowing sensor nodes in close proximity to cooperate in transmission to form a virtual multiple-input multiple-output(MIMO) system, recent progress in wireless MIMO communications can be exploited to boost the system throughput, or equivalently reduce the energy consumption for the same throughput and BER target. However, these cooperative transmission strategies may incur additional energy cost and system overhead. In this paper, assuming that data collectors are equipped with antenna arrays and superior processing capability, energy efficiency of relevant traditional and cooperative transmission strategies: Single-input-multiple-output(SIMO), space-time block coding(STBC), and spatial multiplexing(SM) are studied. Analysis in the wideband regime reveals that, while receive diversity introduces significant improvement in both energy efficiency and spectral efficiency, further improvement due to the transmit diversity of STBC is limited, as opposed to the superiority of the SM scheme especially for non-trivial spectral efficiency. These observations are further confirmed in our analysis of more realistic systems with limited bandwidth, finite constellation sizes, and a target error rate. Based on this analysis, general guidelines are presented for optimal transmission strategy selection in system level and link level, aiming at minimum energy consumption while meeting different requirements. The proposed selection rules, especially those based on system-level metrics, are easy to implement for sensor applications. The framework provided here may also be readily extended to other scenarios or applications.

• 대한전자공학회논문지TC
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• 제46권2호
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• pp.11-17
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• 2009

본 논문은 공평성 제한(fairness constraint)이 존재하는 재생(regenerative) 직교 주파수 분할 다중 접속 (OFDMA: Orthogonal Frequency Division Multiple Access) 중계 네트워크(relay network)에서 새로운 적응 중계기 선택(adaptive relay selection) 기법을 제안한다. 제안된 기법에서 K 개의 중계기 중 시스템 용량(system capacity)을 최대화하는 M 개의 중계기를 선택한다. 선택된 중계기 사이에서는 공평성 제한을 만족하면서 시스템 성능 열화(system performance degradation)를 최소화하도록 부반송파를 재할당(subcarrier reallocation)한다. 그런 다음 보다 향상된 성능을 얻기 위해 워터필링(water-filling) 방법을 통한 적응적 전력할당이 이루어진다. 시스템 용량과 공평성 사이의 트레이드오프(trade-off) 관계를 이용하여 제안된 기법의 개선 방법 또한 연구되었다.

• 농촌계획
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• 제27권3호
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• pp.47-56
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• 2021

The purpose of this study is to identify the determinants of local farmers' participation and acceptance level in traditional agricultural technology conservation activities, using on the traditional agricultural water utilization system in Uiseong designated as Korea's important agricultural heritage system No. 10. The Heckman sample selection model was used to solve the selection bias. The results show that as the interest in the conservation of the agricultural ecological and environment is high, as the traditional agricultural system in Uiseong is used, as the cultivation area of paddy field increased, and as the age 50s or older, the willingness to participate in conservation activities increased. The results also indicate that as the experience of participating in the conservation of the agricultural ecological and environment and the hours of education are increased, the knowledge of the traditional agricultural system in Uiseong is low, and as the cultivation area of paddy field decreased, the acceptance time for conservation activities increased. The results of this study may contribute to government's policy for traditional agricultural technology conservation.

• 융합경영연구
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• 제11권2호
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• pp.57-68
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• 2023

Purpose: This study aims to improve the evaluation system for selecting supportive housing applicants, addressing inconsistency, lack of health and care evaluation, and the need for a quantitative evaluation tool. Proposed improvements include a consistent evaluation index and items for each resident type, selecting suitable residents for independent living and community integration. Research design, data and methodology: This study analyzed the supportive housing selection checklist provided by the Seoul Metropolitan Government, the supportive housing ordinance, and the SH Corporation's operation guidelines. Results: Study finds current supportive housing tenant selection system lacks consistency and proposes improvements. The same terms should be used for the same evaluation items, health and care evaluation items should be added for all tenants, and a quantitative evaluation tool should be used. Consistent evaluation index and items should be created for each resident type in the same evaluation area. The aim is to select suitable tenants with potential for independent living and community integration. Conclusions: This study improves the evaluation system for selecting supportive housing applicants by addressing inconsistencies and adding essential evaluation items related to health and care. While the study is significant, future research should focus on developing quantitative evaluation tools for all detailed items.

• 한국지능시스템학회논문지
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• 제12권6호
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• pp.549-553
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• 2002

본 논문은 전문학술 인력을 자동으로 순위를 매겨 선정하는 지식기반 퍼지 다중 규칙을 제시하고 있다 이를 위하여 학술전문가 선정에 대한 추론규칙을 만들고 다중퍼지 규칙에 대한 최대-최소 추론 및 선정기준에 따라 동적으로 선정기준이 적용되는 방안을 제시하며 이를 위한 시뮬레이션 모델을 구현하고 있다. 본 제안은 학술전문가 선정의 자동화, 공정성, 신뢰성 등을 제공하여 준다.

• 대한산업공학회지
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• 제33권4호
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• pp.402-409
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• 2007

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.

• 한국콘텐츠학회논문지
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• 제5권5호
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• pp.152-158
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• 2005

문자 패턴에서 추출한 서로 다른 특징 집합을 결합함으로써 문자 인식 시스템의 성능을 향상시킬 수 있다. 이때 결합된 특징 벡터의 차원을 줄이기 위해 특징 선택을 수행해야 한다. 이 논문은 문자 인식 문제에서 특징 결합과 선택을 위한 일반적인 틀을 제시한다. 또한 필기 숫자 인식을 위한 설계와 구현을 제시한다. 이 설계에서는 필기 숫자 패턴에서 DDD 특징 집합과 AGD 특징 집합을 추출하며 특징 선택을 위해 유전 알고리즘을 사용한다. 실험 결과 CENPARMI 필기 숫자 데이터베이스에 대해 0.7%의 정확률 향상을 얻었다.

• 경영과학
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• 제26권1호
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• pp.171-182
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• 2009

We consider the inventory replenishment problem and the vehicle routing problem simultaneously in the vending machine operation. This problem is known as the inventory routing problem. We design a memory cell in the clonal selection algorithm. The memory cell store the best solution of previous solved problem and use an initial solution for next problem. In general, the other clonal selection algorithm used memory cell for reserving the best solution in current problem. Experiments are performed for testing efficiency of the memory cell in demand uncertainty. Experiment result shows that the solution quality of our algorithm is similar to general clonal selection algorithm and the calculations time is reduced by 20% when the demand uncertainty is less than 30%.

• 산업경영시스템학회지
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• 제38권2호
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• pp.82-90
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• 2015

Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.