• 한국경영과학회지
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• 제37권4호
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• pp.37-50
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• 2012

The existing DEA models have been devoted to evaluate relative efficiency of DMUs based on multiple input and output factors of a same period. However, a certain kind of lead time can be required to produce outputs using inputs in an organization. R&D evaluation is a typical area with this kinds of time lag. Thus, the purpose of this paper is to develop a new DEA model to deal with time lag effect in performance evaluation. The proposed model is to find relative efficiency of each DMU for each period considering the time lag effect. A case example using a real data set is also given to show the usage or implication of the suggested model. The results are compared with the ones of the CCR model and the multi-periods input model.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (A)
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• pp.166-168
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• 2004

실시간 운영체제는 시간 결정성이 가장 중요시되는 운영체제이다. 다시 말해, 예측가능성을 제공함으로써 시스템의 성능을 예측할 수 있게 하여 최적화된 시스템의 설계 및 구현을 가능하게 한다. 그러나 실시간 운영체제상의 응용프로그램은 여러 가지 요인으로 인해 그 수행시간을 예측하기가 쉽지 않다. 본 논문은 시스템에 탑재된 타이머를 이용하여 태스크의 사용시간을 측정할 수 있는 방법을 설계 및 구현하였다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 추계 학술대회
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• pp.67-72
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• 2006

In this paper, we attempt to investigate the factors influencing usage and acceptance of ubiquitous services in Campus, based on the Technology Acceptance Model(TAM). This study conceptualizes and develops three dimensions of u-Services (real time seπice, information security, customization seπice) and tests the relationships between three dimensions of u-Services and TAM. Data were collected from 162 respondents in K-University. And relationships proposed in the framework were tested using multiple regression analysis.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.332-336
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• 1991

Network management is responsible for gathering information on the usage of the network media by the network devices, ensuring the correct operation of the network, and providing reports. MAP network management must provide the high reliability of the media and signaling method, even in very harsh environments, providing a very low bit error rate and minimum number of retransmission. In this paper, we analysed the framework of OSI management and MAP network management and discussed the implementation method of fault management and remote management mechanism in the Mini-MAP controller developed for IBM-PC.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2004년도 춘계학술대회
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• pp.225-236
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• 2004

Every web server comprises a repository of all actions and events that occur on the server. Server logs can be used to quantify user traffic. Intelligent analysis of this data provides a statistical baseline that can be used to determine server load, failed requests and other events that throw light on site usage patterns. This information provides valuable leads on marketing and site management activities. In this paper, we propose a method of design for log analysis system using RTMA(realtime monitoring and analysis) technique.

• 한국ITS학회 논문지
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• 제11권5호
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• pp.46-55
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• 2012

본 연구에서는 공공재의 가치추정에 효율적인 방법론인 이중양분선택형 질문법에 의한 CVM(조건부가치측정법)을 이용하여 실시간 경로안내시스템에 대한 이용자의 지불의사액(WTP)을 추정하는 방안을 제시하고 지불의사액의 산정에 영향을 미치는 요인을 분석하는 것을 그 목적으로 한다. 제공되는 실시간 교통정보 안내서비스는 최단거리 정보가 아닌 최적경로 개념의 정보로 해당 OD간의 교통상황에 대응하여 실시간으로 경로유도정보가 제공된다고 가정하였다. 분석대상을 단거리와 중거리로 구분하여 실시간 경로안내서비스에 대한 연 단위의 지불의사액을 추정하기 위해 개인속성, 정보이용 실태 및 만족도, 정보에 관한 이용자의 의식과 시설이용도 등을 변수로 사용하였으며, 생존분석 방법과 회귀모형을 이용하여 지불의사액을 산정하였다. 분석결과 단거리 구간의 실시간 경로안내서비스에 대한 평균 지불의사액은 4,034원/년이었고, 중거리 구간은 4,884원/년으로 나타나, 단거리 구간보다는 중거리 구간에 대한 실시간 경로안내시스템의 가치를 더욱 높게 평가 하고 있음을 확인하였다. 나아가 소득수준이 높을수록 정보의 필요성이 높고 자동차를 소유한 이용자일수록 그리고 해당경로에 대한 인지도가 낮을수록 지불의사액은 높게 나타났다.

• Journal of Communications and Networks
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• 제16권2호
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• pp.238-244
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• 2014

A key technical challenge in TV white spaces is the efficient spectrum usage without interfering with primary users. This paper considers available spectrum discovery scheme using in-band sensing signal to support super Wi-Fi services effectively. The proposed scheme in this paper adopts non-contiguous orthogonal frequency-division multiplexing (NC-OFDM) to utilize the fragmented channel in TV white space due to microphones while this channel cannot be used in IEEE 802.11af. The proposed solution is a novel available spectrum discovery scheme by exploiting the advantages of a sensing signaling. The proposed method achieves considerable improvement in throughput and delay time. The proposed method can use more subcarriers for transmission by applying NC-OFDM in contrast with the conventional IEEE 802.11af standard. Moreover, the increased number of wireless microphones (WMs) hardly affects the throughput of the proposed method because our proposal only excludes some subcarriers used by WMs. Additionally, the proposed method can cut discovery time down to under 10 ms because it can find available channels in real time by exchanging sensing signal without interference to the WM.

• 정보보호학회논문지
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• 제25권5호
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• pp.1001-1009
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• 2015

스마트 그리드 안에서 고안된 스마트 미터는 우리가 사용하는 전력 신호를 실시간으로 데이터화해서 전력 공급단의 메인 서버로 전송한다. 이를 통해 전력 관리의 효율성은 증가한 반면, 사용자의 정보를 담은 데이터의 보안 문제가 새로운 위협으로 부상하였다. 본 논문은 스마트 미터에서 추출한 전력 데이터를 통해 가정 내 기기의 식별 및 기기별 사용패턴에 대한 추론을 보안 관점에서 해석함으로써 스마트 기기 환경에서 데이터 노출의 위협을 지적한다. 주성분분석(Principal Component Analysis)으로 데이터의 특징을 추출하였고 k-근접 이웃(k- Nearest Neighbor)분류기로 기기를 식별하고 기기상태를 추론하였으며, 검증방법으로는 10차 교차검증(10-fold Cross Validation)을 활용하였다.

• 대한기계학회논문집A
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• 제30권5호
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• pp.520-527
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• 2006

The design of major industrial facilities for the prevention of fatigue failure is customarily done by defining a set of transients and performing a calculation of cumulative usage factor. However, sometimes, the inherent conservatism or lack of details as well as unanticipated transients in old plant may cause maintenance problems. Even though several famous on-line monitoring and diagnosis systems have been developed world-widely, in this paper, a new system fur fatigue monitoring and life evaluation of crane is proposed to reduce customizing effort and purchasing cost. With regard to the system, at first, comprehensive operating transient data has been acquired at critical locations of crane. The real-time data were classified, by using adaptive resonance theory that is one of typical artificial neural network, into representative stress groups. Then the each classified stress pattern was mapped to calculated cumulative usage factor in accordance with ASME procedure. Thereby, promising results were obtained fur the crane and it is believed that the developed system can be applicable to other major facilities extensively.

• KEPCO Journal on Electric Power and Energy
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• 제8권2호
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• pp.159-179
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• 2022

Often a network becomes complex, and multiple entities would get in charge of managing part of the whole network. An example is a utility grid. While the entire grid would go under a single utility company's responsibility, the network is often split into multiple subsections. Subsequently, each subsection would be given as the responsibility area to the corresponding sub-organization in the utility company. The issue of how to make subsystems of adequate size and minimum number of interconnections between subsystems becomes more critical, especially in real-time simulations. Because the computation capability limit of a single computation unit, regardless of whether it is a high-speed conventional CPU core or an FPGA computational engine, it comes with a maximum limit that can be completed within a given amount of execution time. The issue becomes worsened in real time simulation, in which the computation needs to be in precise synchronization with the real-world clock. When the subject of the computation allows for a longer execution time, i.e., a larger time step size, a larger portion of the network can be put on a computation unit. This translates into a larger margin of the difference between the worst and the best. In other words, even though the worst (or the largest) computational burden is orders of magnitude larger than the best (or the smallest) computational burden, all the necessary computation can still be completed within the given amount of time. However, the requirement of real-time makes the margin much smaller. In other words, the difference between the worst and the best should be as small as possible in order to ensure the even distribution of the computational load. Besides, data exchange/communication is essential in parallel computation, affecting the overall performance. However, the exchange of data takes time. Therefore, the corresponding consideration needs to be with the computational load distribution among multiple calculation units. If it turns out in a satisfactory way, such distribution will raise the possibility of completing the necessary computation in a given amount of time, which might come down in the level of microsecond order. This paper presents an effective way to split a given electrical network, according to multiple criteria, for the purpose of distributing the entire computational load into a set of even (or close to even) sized computational loads. Based on the proposed system splitting method, heavy computation burdens of large-scale electrical networks can be distributed to multiple calculation units, such as an RTDS real time simulator, achieving either more efficient usage of the calculation units, a reduction of the necessary size of the simulation time step, or both.