• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.178-187
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• 2018

This study aimed to develop a model of the program for automation measuring the preference of the portraits based on the relationship between the image quality factors and the preferences in the portraits for manufacturers aiming at high utilization of the users. in order to proceed with the evaluation, the image quality measurement was divided into objective and subjective items, and the evaluation was done through image processing and statistical methods. the image quality measurement items can be divided into objective evaluation items and subjective evaluation items. RSC Contrast, Dynamic Range and Noise were selected for the objective evaluation items, and the numerical values were statistically analyzed and evaluated through the program. Exposure, Color Tone, composition of person, position of person, and out of focus were selected for subjective evaluation items and evaluated by image processing method. By applying objective and subjective assessment items, the results were very accurate, with the results obtained by the developed program and the results of the actual visual inspection. but since the currently developed program can be evalua ted only after facial recognition of the person, future research will need to develop a program that can evaluate all kinds of portraits.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.204-207
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• 2009

수소를 기반으로 하는 신재생에너지의 생산, 관리 및 이용 시스템을 연계하여 운전하는 Green City 실증단지 구현을 위한 국내 도서 선정은 지자체별 이해관계와 지역발전계획에 따라 첨예한 논란을 수반할 소지가 있다. 입지 선정 절차상에서 예비후보지 선정과정이 형식적이거나 입지선정기준이 없어 입지선정을 위한 평가항목, 평가기준, 항목별 배점 등이 분석자의 의도에 따라 조정될 수 있는 문제점이 있다. 또한 각 지역에 대한 입지선정을 위한 기준이 있다 하더라도 추상적이거나 객관적이지 않은 기준이 많아 입지선정에 직접 적용하기 어렵고, 자연환경, 사회경제, 법제, 입지조건, 부하특성, 지자체 호응 등 인자들의 평가의 형평성이 결여될 수 있다. 이를 해결하기 위해 의사결정도구로 이용되는 계층분석법(AHP)을 입지선정절차에 적용하였다. 객관적인 정보가 제공 가능한 평가항목을 설정하고, 관련 전문가들의 설문조사를 통하여 주관적인 중요도 결과를 취합하였다. 이 결과를 계층분석법을 활용하여 평가항목별 가치를 측정하여 가중치를 부여하였고, Green City 실증단지 구현을 위한 후보도서의 순위를 제시하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.101-107
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• 2018

Recently, Korea's defense industry has advanced highly, and defense R&D budget is gradually increasing in defense budget. However, without objective analysis of defense industry technology, effective defense R&D activities are limited and defense budgets can be used inefficiently. Therefore, in addition to analyzing the defense industry technology quantitatively reflecting the opinions of the experts, this paper aims to analyze the defense industry technology objectively by quantitative methods, and to make efficient use of the defense budget. In addition, we propose a patent analysis method to grasp the characteristics of the defense industry technology and the vacant technology objectively and systematically by applying the big data analysis method, which is one of the keywords of the 4th industrial revolution, to the defense industry technology. The proposed method is applied to the technology of the firepower industry among several defense industrial technologies and the case analysis is conducted. In the process, the patents of 10 domestic companies related to firepower were collected through the Kipris in the defense industry companies' classification of the Korea Defense Industry Association(KDIA), and the data matrix was preprocessed to utilize IPC codes among them. And then, we Implemented association rule mining which can grasp the relation between each item in data mining technique using R program. The results of this study are suggested through interpretation of support, confidence lift index which were resulted from suggested approach. Therefore, this paper suggests that it can help the efficient use of massive national defense budget and enhance the competitiveness of defense industry technology.

• Review of Culture and Economy
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• v.17 no.2
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• pp.103-135
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• 2014

This research dwells on the new paradigm of policy making of some innovative nations in Korean content industry. Especially this paper did evaluation of governmental policy in recent 5 years (2008~2012) in the field of Korean content industry. According to this research, the program of policy in Korean content industry had been obsessed to passive enrichment focusing on some part of content industry. The whole process of policy, scheme of policy and working flow of policy were very constrained in order to encourage more measurable area like CT(culture technology). Thus, we need new strong policy in this new government launched in 2013. The apparent keyword should be 'management'. New activity of policy need to focus on encourage Korean content industry in the real site of field, not in bureaucratic office in remote site. This change reflecting real filed management system would be productive innovation for policy making and activity in Korea.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.328-330
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• 2015

항만관제 상황인식에 따른 선임,초임관제사간의 시각적 차이점을 비교 분석하여, 관제의 전문성을 표상하는 구체적이고 객관적으로 나타내며, 교육 및 훈련에 활용에 관하여 연구.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.17-28
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• 1999

최근 한의학 분야에서도 객관성 확보를 위한 학문적 경험의 수량화연구가 일반화되고 있다. 이의 일환으로 한방부인과의 진단 기준 프로그램개발이 요구되고 있으며 본 논문에서는 이에 대한 해결책으로 가중주성분분석을 이용한 변증점수 개발을 제안하고 있다. 또한 이 과정에서 변증유형별 점수 비교를 하기 위한 변증점수의 사후조정에 대한 방법도 제시하고있다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.179-187
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• 2014

As an Accident data recorder (ADR) is a system to record a vehicle's status and dynamics information on the before and after of accident, Traffic accident investigation agencies and parts developers have a lot of interest to analyze an accident objectively and develop automotive safety devices by using real accident data, This study is to analyze an accident objectively and scientifically on the basis of traffic accident reconstruction with the use of output data of an event data recorder. This study is conducted double lane change test six times and slalom test one time as a field driving test and simulation. Based on the vehicle speed, the longitudinal and transverse acceleration, steering angle, driving path, and other kinds of information obtained from the field driving test, this study performed a simulation with PC-Crash program of reenacting and analyzing a traffic accident. The simulation was performed twice in the acceleration-steering angle input method and in the acceleration-driving path input method. By comparing the result of the field driving test with the results of the two simulations, we drew an analysis method with the optimal path reconstruction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.558-561
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• 2018

Human errors have known as a majority of maritime navigational accidents such as collision and grounding. A large number of relevant research applied indirect research methods such as survey and interview. The research methods are limited to collect objective data regarding human errors due to its nature. Therefore, the purpose of this study is to improve the limitation of human error measurement of navigators by applying wearable sensors. Infrared sensors by using a 3-D printer to accommodate the special environment of a ship were developed for the study. As results, a significant reliance on the Integrated Navigation System including Electronic Chart Display and Information System (ECDIS) and Radar. The results are expected to motivate further research to investigate human errors of ship navigators to reduce the maritime navigational accidents.

• Journal of IKEEE
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• v.16 no.4
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• pp.395-404
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• 2012

In this paper, the perceived loudness metering algorithm based on ITU-R BS.1387-1 was investigated and implemented, and its performance was evaluated by applying to 23 pure tones and 9 digital audio samples. Error of the tone test results compared with ISO226:2003 was below 5%, and sample test results, in comparison with Moore's algorithm, showed deviation of less than 4.7% and correlation of 0.96. On the other hand, it was investigated how the implemented algorithm's performance was subject to auditory pitch scale. Its result showed that the algorithm with 37 auditory filters, through correcting a bias effect, has a good performance of less than 2% in comparison with the one with 109 auditory filters.

• Journal of the Korean earth science society
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• v.39 no.5
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• pp.436-457
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• 2018

In this study, we apply a three-dimensional circulation model, MOHID (MOdelo $HIDrodin{\hat{a}}mico$), and reproduce oceanic variation around the East Asian seas including Korea in 2016. Simulation results are verified by using objective analysis fields (EN4, ARMOR3D, AVISO, and SIO products) and in-situ observation data (serial oceanographic and buoy data). Verification results show that general characteristics of the water temperature, sea level anomaly, surface velocity, and mixed layer depths simulated by MOHID are similar with those of the objective analysis fields in the East Asian seas. Especially, when buoy data in the coastal areas are compared, correlation coefficients of sea surface temperature and sea level anomaly are both over 0.8 and normalized standard deviations are between 0.85 and 1.15, respectively. However, it is analyzed that additional improvement would be necessary in the representation of thermocline structure in the East Sea and strong stratification phenomena in the Yellow and South Sea in summer.