• 한국식품과학회지
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• 제44권2호
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• pp.247-250
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• 2012

본 연구에서 적용한 시험법의 회수율은 97.4-122.5%, 상대표준편차(RSD)는 6%이내로서 적합한 시험법임을 확인하였다. 조사된 원유 및 시유의 검출농도는 아플라톡신 $M_1$이 평균 29.6 ng/kg(5.4-72.7 ng/kg)로 나타났으며, 원유 및 시유에 대한 아플라톡신 $M_1$ 오염수준은 현행 식품공전에서 정한 허용기준치인 500 ng/kg 보다 낮은 안전한 수준인 것으로 판단된다.

• 정보보호학회논문지
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• 제16권4호
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• pp.91-103
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• 2006

본 논문은 지문 인식 알고리즘의 신빙성 있는 성능 평가를 위해 실험에 사용되는 지문 영상 데이터베이스의 특성을 정량화하는 방법과 지문 영상 데이터베이스들의 난이도를 측정하는 방법을 제안하는 것을 목적으로 한다. 이를 위해 지문 영상 정합 시에 영향을 미치는 요소들을 정의하였으며, 두 지문 영상의 정합을 minutiae 기반이 아닌 orientation field을 사용하여 요소들을 평가한다. Orientation filed는 기존의 orientation 방법을 이용하되 계층적으로 측정함으로써 정합시의 속도와 정확성을 개선하였다. 실험 결과, 두 영상을 정합하여 얻어진 각각의 요소들의 측정수치는 데이터베이스들의 특성을 보여준다. 데이터베이스 난이도의 측정은 지문 인식 알고리즘들의 성능을 객관적이고 정량적으로 비교할 수 있게 해준다.

• 반도체디스플레이기술학회지
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• 제23권2호
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• pp.45-49
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• 2024

Blockchain has gone beyond the proof-of-concept level and is converging with various industries and fields, moving toward the service development and commercialization stage. However, although various blockchain technologies and services are emerging, their development is quite slow and their widespread application to various industries is difficult. Accordingly, it is necessary to identify areas with high introduction utility when applying blockchain services in actual industries and to develop a method to evaluate the utility of blockchain services for this purpose. This paper proposes a framework for evaluating the utility of blockchain services using a multi-criteria decision-making model. Through a case study on the utility evaluation of blockchain services, the proposed framework was applied to domestic and foreign blockchain services to evaluate its utility and verify its applicability. It is expected that the proposed framework will be able to identify industrial and functional characteristics where actual blockchain services can be introduced and demonstrate effective utility and can be used to develop blockchain services in various industrial fields.

• 대한산업공학회지
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• 제36권2호
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• pp.108-116
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• 2010

The maintenance of a deteriorating system is often imperfect. Previous studies have shown that the imperfect preventive maintenance (PM) can reduce the wear out and aging effects of deteriorating systems to a certain level between the conditions of as good as new and as bad as old. In this paper, we employ the concept of the improvement factor in investigating two optimal PM policies; failure limit policy and periodic PM policy. We redefine the improvement factor model as a function of the cost of PM, using this concept, we derive the conditions of optimal PM policies and formulate expressions to compute the expected cost rate. Based on this information, the determination of the maintenance policies which minimize the cost rate is examined. Numerical examples for the Weibull distribution case are also given.

• Corrosion Science and Technology
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• 제3권4호
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• pp.161-165
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• 2004

Aluminum source in an Al-Fe coating reacts with molten carbonate and develops a protective $LiAlO_2$ layer on the coating surface during operation of molten carbonate fuel cells (MCFC). However, if aluminum content in an Al-Fe coating decreases to a critical level for some reasons during MCFC operation, a stable and continuous $LiAlO_2$ protective layer can no longer be maintained. The aluminum content in an Al-Fe coating can be depleted by two different processes; one is by corrosion reaction at the surface between the aluminum source in the coating and molten carbonate, and the other is inward-diffusion of aluminum atoms within the coating into a substrate. In these two respects, therefore, the decreasing rate of aluminum concentration in an Al-Fe coating was measured, and then the influences of these two aspects on the lifetime of Al-Fe coating were investigated, respectively.

• 기술혁신학회지
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• 제14권4호
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• pp.937-964
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• 2011

이 연구는 농업 연구개발사업의 객관적인 성과와는 달리 농촌진흥청의 역할에 대한 논의가 끊이지 않고 있는 문제의식에서 출발하고 있다. 이에 따라 농업 연구개발사업의 핵심 주체인 농촌진흥청의 내부 연구개발 평가체계를 대상으로 평가기조, 평가자원, 평가수행, 평가활용이라는 4가지 관점에서 메타 평가를 수행하였다. 연구결과는 평가기조에 해당하는 평가대상의 설정이 최하위 수준인 세부 연구과제로 설정되어 있다는 점이 가장 큰 문제로 분석되었다. 따라서 이 연구는 우선적으로 평가목적과 평가대상 등의 평가기조를 과학기술정책 및 평가정책 등의 외부의 정책환경 변화와 조응할 수 있는 방향으로 전환함으로서 현행 농업 연구개발사업의 평가제도를 성과지향적으로 발전시키기 위한 정책대안을 논의하였다.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1999년도 제16회 동계학술발표회 논문집
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• pp.216-239
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• 1999

Korean government has planned a large scale multidepartment-participated national R&D program to advance and improve her science and technology and the quality of life In the level of advanced(especially G-7) countries in the forthcoming 21st century. It is called as "Highly Advanced National projects" or "G7 projects", which was initiated in 1991 with 18 sub-programs to date. It has planned to be continued until 2001 with its total fund of 4, 591 billion Won, comprised of 2, 033 billion Won from the public sector and 2, 558 billion Won from the private sector. Evaluation activities, the country has carried out to date, for national R&D programs including HAN projects are focused mainly on the assessment of scientific and technological results to decide that a specific program should be continued, terminated, or modified. Thus, it is necessary for national R&D programs to be evaluated socioeconomically for the purpose of assessing the nationwide economic and social impact from the program. Socioeconomic evaluation would be told how and where the program contributed to the society, and what the socioeconomic impacts are resulted from the program. It would be useful for the means of (ⅰ) fulfillment of public accountability to legitimate the program and to reveal the expenditure of pubic fund, and (ⅱ) managemental and strategical learning to give information necessary to improve the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projects including scientific and technological effects. Since the HAN projects consists of 18 subprograms, it is difficult In evaluate all the subprograms simultaneously. Despite, each program is being performed under the category of HAN projects, so the common socioeconomic issues are existing, The followings are main results of the study. First, the hierarchical structure of the socioeconomic evaluation are constructed; Evaluation Perspective, Evaluation Bounds, and Evaluation Aspect. Second, based on the goals of the HAN projects, the evaluation perspectives are established as (ⅰ) the strengthening of industrial competitiveness, (ⅱ) the enhancement of national scientific and technological capability, (ⅲ) the improvement of quality of life. Third, the evaluation bounds for each evaluation objective are defined to specify the affected area. Finally, the evaluation aspects for each evaluation bounds are formulated containing essential elements describing the evaluation bounds.

• 한국IT서비스학회지
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• 제19권1호
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• pp.173-185
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• 2020

It is very important to evaluate training because it can systematically grasp the current status of training. Evaluation includes getting ongoing feedback from the learner, trainer and learner's supervisor, to improve the quality of the training and identify if the learner achieved the goals of the training. It also provides a justification for the implementation of training. Nonetheless, there is a lack of studies that attempt to evaluate information security training programs. In this study, we utilize the Philips model to evaluate the public training programs for the people who are in charge of the information security duties in the public sector and propose the training improvement plans. Research result has shown that it is necessary to evaluate the level of the trainees in advance and conduct training programs according to the information security skill level. In addition, it needs to conduct training according to duties such as information security management, information security operate and maintain. The limitation of this study is that each education program was not assessed individually because this study had developed an evaluation tool that could be used comprehensively.

• 자동차안전학회지
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• 제12권3호
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• pp.43-51
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• 2020

Currently, the second level of the six stages of self-driving technology, as defined by SAE, is commercialized, and the third level is preparing for commercialization. The purpose of ACC is to be evaluated as a system useful for preventing and preventing accidents by minimizing driver fatigue through longitudinal speed control and relative distance control of the vehicle. In this regard, for the study of safety assessment methods in the practical environment of ACC. Distance measurement method using monocular camera and data acquisition equipment such as DGPS are utilized. Based on the evaluation scenario considering the domestic road environment proposed by the preceding study, the relative distance obtained from equipment such as DPGS and the relative distance using a monocular camera in the actual test is verified by comparing and analyzing the safety assessment. The comparison by scenario results showed a minimum error rate of 3.83% in Scenario 1 and a maximum of 14.61% in Scenario 6. The cause of the maximum error is that the lane recognition is not accurate in the camera image and irregular operation conditions such as rushing in or exiting the surrounding area from the walkway. It is expected that safety evaluation using a monocular camera will be possible for other ADAS systems in the future.

• Computers and Concrete
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• 제24권6호
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• pp.541-553
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• 2019

Alkali-silica reaction (ASR) in concrete can induce degradation in its mechanical properties, leading to compromised serviceability and even loss in load capacity of concrete structures. Compared to other properties, ASR often affects the modulus of elasticity more significantly. Several empirical models have thus been established to estimate elastic modulus reduction based on the ASR expansion only for condition assessment and capacity evaluation of the distressed structures. However, it has been observed from experimental studies in the literature that for any given level of ASR expansion, there are significant variations on the measured modulus of elasticity. In fact, many other factors, such as cement content, reactive aggregate type, exposure condition, additional alkali and concrete strength, have been commonly known in contribution to changes of concrete elastic modulus due to ASR. In this study, an artificial intelligent model using artificial neural network (ANN) is proposed for the first time to provide an innovative approach for evaluation of the elastic modulus of ASR-affected concrete, which is able to take into account contribution of several influence factors. By intelligently fusing multiple information, the proposed ANN model can provide an accurate estimation of the modulus of elasticity, which shows a significant improvement from empirical based models used in current practice. The results also indicate that expansion due to ASR is not the only factor contributing to the stiffness change, and various factors have to be included during the evaluation.