• 천문학회지
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• 제38권4호
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• pp.445-462
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• 2005

In a companion paper, we have presented so-called Spatio-Spectral Maximum Entropy Method (SSMEM) particularly designed for Fourier-Transform imaging over a wide spectral range. The SSMEM allows simultaneous acquisition of both spectral and spatial information and we consider it most suitable for imaging spectroscopy of solar microwave emission. In this paper, we run the SSMEM for a realistic model of solar microwave radiation and a model array resembling the Owens Valley Solar Array in order to identify and resolve possible issues in the application of the SSMEM to solar microwave imaging spectroscopy. We mainly concern ourselves with issues as to how the frequency dependent noise in the data and frequency-dependent variations of source size and background flux will affect the result of imaging spectroscopy under the SSMEM. We also test the capability of the SSMEM against other conventional techniques, CLEAN and MEM.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2006년도 전기학술대회논문집
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• pp.273-274
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• 2006

The sea is origin of all lift, and 90% of the all living organisms are in the sea. The biosynthesis is very different. Many organisms are kept on a lower or developed to another evolutionary level than on shore. Our society is increasing demand and need for marine food and this food has to product at onshore or offshore fish farming sites. Ocean fish farms have a special operation properties such as a good quality water, net cage, sheltered locations and feeding system. The farming site is controlled and monitored for fish welfare as ammonia($NH_3$), temperature, the speed of a running fluid. Specially, the fish farm is seriously influenced by ammonia. In this paper, $NH_3$ monitoring system for ocean fish farm is researched for the suitable fish farming sites, and test equipment is designed for achieving practical data. The equipment wit monitoring algorithm is expected to the useful system for ocean fish farm.

• 플랜트 저널
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• 제5권2호
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• pp.50-55
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• 2009

Promoting policy to involve plant EPC companies for package deal has been studied to acquire overseas energy resources. The effectiveness of the package deal with the plant EPC companies has not been successful because the participation of the plant EPC companies is very rare. It is difficult for the plant EPC companies to join the package deal due to the lack of the fully responsible organization to support the plant EPC companies participating in a package deal. The followings are suggested as the ways to promote the participation of the plant EPC companies for package deal in this study; 1) financial support of the government for plant EPC companies 2) political support of the government for plant EPC companies 3) specialization of the advanced countries for public-private cooperation.

• 품질경영학회지
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• 제40권3호
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• pp.295-305
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• 2012

Purpose: This study identified the standardization activities from the early stage of acquisition to disposal during the materiel life cycle and proposed the improvement of standardization process. Methods: Through improvement of duplicated deliberation for the revision of military specification, unification of technical change proposal reception organization, and resolution between the conflicting parts of laws and regulations, simplifying the standardization procedure and strengthening linkages between the civilian standards were gained. Results: We have redefined the concept of the standards and standardization in the field of defense and proposed the standards-driven documentary standards as a measurement standards and reference standards to expand the activities. Conclusion: Through a standardization survey, we came to conclusion that we need to change the concept of standardization in the field of national defense from making the specification to using the means of efficient management of military resources.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.484-485
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• 2008

A micro-grid (MG) is a new concept to aggregate distributed generations (DGs) and loads in a small area. The difference between MG and DG is that MG can supply power to loads even in islanding conditions. The magnitude of the fault current depending on interconnection between the MG and utility and the number of DGs in the MG. Therefore, the setting value of the OCR must be changed depending on operating conditions of the MG. This paper proposes the over-current relay considering operating conditions of the MG. In the proposed algorithm, the supervisory control and data acquisition decides the operating conditions of the MG and sends the proper setting values to each OCR. The performance of the algorithm was investigated in the case of the various operating conditions.

• 지식경영연구
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• 제19권1호
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• pp.147-174
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• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.146-154
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• 2020

Negative emotion causes stress and lack of attention concentration. The classification of negative emotion is important to recognize risk factors. To classify emotion status, various methods such as questionnaires and interview are used and it could be changed by personal thinking. To solve the problem, we acquire multi modal bio-signals such as electrocardiogram (ECG), skin temperature (ST), galvanic skin response (GSR) and extract features. The neural network (NN), the deep neural network (DNN), and the deep belief network (DBN) is designed using the multi modal bio-signals to analyze emotion status. As a result, the DBN based on features extracted from ECG, ST and GSR shows the highest accuracy (93.8%). It is 5.7% higher than compared to the NN and 1.4% higher than compared to the DNN. It shows 12.2% higher accuracy than using only single bio-signal (GSR). The multi modal bio-signal acquisition and the deep learning classifier play an important role to classify emotion.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 C
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• pp.1649-1651
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• 2002

Ultra-wide bandwidth (UWB) detection method has been widely used as a front end detection scheme for the ultra-high frequency (UHF) partial discharge (PD) monitoring systems. A broad-band video detector module was developed and characterized for the UHF UWB PD detection systems. The useable bandwidth of the module is more than 2 GHz and it is optimized for 50-ohm systems. The detection sensitivity and dynamic range of the module were characterized by using a known ns-width RF pulses of GHz range. The dynamic range is more than 6-decades and the module can detect pulsed RF signals down to 1 nW. The detector module can eliminate expensive equipment such as high speed oscilloscopes and radio frequency (RF) spectrum analyzers. Therefore, it enables one to use slow speed data acquisition systems for the PD monitoring at the UHF range. The detector module was used to detect real PDs of about <3 pC. The module converts the UWB PD signals into a low-bandwidth video signal with a high signal-to-noise ratio.

• 한국식생활문화학회지
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• 제32권5호
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• pp.403-411
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• 2017

When purchasing products or services, consumers tend to purchase multiple value attributes through the acquisition of a product rather than physical characteristics. This study empirically analyzed the relations between consumption value, brand attitude, and purchase intention of customers purchasing fair-trade coffee, by dividing consumption values that would have significant effects on consumers' actual purchase behavior into five levels. Among the consumption value factors of customers purchasing fair-trade coffee, the functional value, social value, emotional value, and rare value all had significant effects on brand attitude and purchase intention while the influence of situational value on brand attitude and purchase intention was not verified. These finding are partially concordant with those of preceding studies, and the consumption value of consumers purchasing fair-trade coffee has positive effects on purchase behavior; therefore, it would be necessary for companies selling fair-trade products to understand consumers' specific values. Moreover, analysis of the influence of brand attitude on purchase intention of customers purchasing fair-trade coffee revealed that purchase intention increased when brand attitude was higher. These finding indicate that it is necessary to identify measures to increase purchase intention by targeting consumer groups with high brand attitude with intensive promotions.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.295-299
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• 2010

기존의 수직 사진은 지도 제작 목적으로 충분한 역할을 하였으며, 현재도 영상 지도 등의 용도로 다양하게 사용되고 있다. 하지만, 3차원 입체 영상 지도 제작이나, 3차원 모델링 등에 있어서는 대상물의 측면정보를 취득하는데 있어서는 한계가 있다고 할 수 있다. 본 연구에서는 항공 경사 영상을 이용하여 건물의 수직, 측면 정보를 동시에 취득하여 도시 행정에 활용하기 위한 방안을 연구하였다. 본 연구의 결과 다양한 도시정보의 추출이 가능하였으며, 기존의 수직 사진의 한계를 극복할 수 있는 기법으로 사용이 가능한 것으로 사료된다.