• 한국융합학회논문지
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• 제10권6호
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• pp.235-242
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• 2019

최근 딥러닝을 비롯한 인공지능 기술의 활용이 다양한 분야에서 활발해지고 있으며, 특히 딥러닝 기술 기반의 객체 인식 및 검출에 뛰어난 성능을 보이는 여러 알고리즘들이 발표되고 있다. 이에 본 논문에서는 사용자의 편의성이 효과적으로 반영된 모바일 헬스케어 애플리케이션 구현에 대한 적절한 방향성을 제시하고자 한다. 기존의 피트니스 애플리케이션들에 대한 이용 만족도 연구 및 모바일 헬스케어 애플리케이션에 대한 현황을 파악하여, 이로부터 피트니스 애플리케이션 시장에서의 생존과 우위를 확보하는 동시에, 최근 주목 받고 있는 인공지능 기술의 효과적인 적용에 의한 성능 개선을 통해 기존 이용자 유지 및 확대를 도모하고자 한다.

• 한국물환경학회지
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• 제23권5호
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• pp.697-704
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• 2007

This study proposes an integrated technique of Genetic Algorishim (GA) and Geographic Information System (GIS) for designing the water quality monitoring networks. To develop solution scheme of the integrated system, fitness functions are defined by the linear combination of five criteria which stand for the operation objectives of water quality monitoring stations. The criteria include representativeness of a river system, compliance with water quality standards, supervision of water use, surveillance of pollution sources and examination of water quality changes. The fitness level is obtained through calculations of the fitness functions and input data from GIS. To find the most appropriate parameters for the problems, the sensitivity analysis is performed for four parameters such as number of generations, population sizes, probability of crossover, and probability of mutation. Using the parameters resulted from the sensitivity analysis, the developed system proposed 110 water quality monitoring stations in the Nakdong River. This study demonstrates that the integrated technique of GA and GIS can be utilized as a decision supporting tool in optimized design for a water quality monitoring network.

• 대한지역사회영양학회지
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• 제13권5호
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• pp.723-732
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• 2008

The purpose of this study was to identify the influence of diet related factors, such as diet behaviors, food intake, and nutrient intakes, on self-rated health (SRH). Also, in order to determine fitness of classification for SRH reflecting diet related factors, this study surveyed older adults in Gyeongnam province. A total of 101 responses were collected using the interview survey method. The self- rated health of rural older adults was poor as reported by 49.5%. The level of self-rated health was found to be related to the frequencies of coffee and snack, use of sugar and vegetable in diet, the amount of total food intake, and cholesterol intake. The result of discriminant analysis, which was conducted to assess the adequacy of SRH classification and to determine the class of observation, showed frequency of coffee and use of vegetable in diet among 47 variables as predictive variables for explaining SRH. The fitness of self-rated health function was high to 47.7%. Therefore, diet-related factors were ascertained to be important variables to predict SRH.

• 한국의류학회지
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• 제39권3호
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• pp.419-432
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• 2015

This paper examines the protective clothing satisfaction rate of riot policemen. The protective clothing currently in use is the version that underwent enhancement and was distributed in 2009. This version underwent significant enhancements compared to the protective clothing introduced in 1996 in terms of safety and body fitness; however, there is room for further enhancement in terms of activity, thermal comfort and easiness. In this research, a questionnaire survey was conducted on 386 riot policemen working at the Seoul Riot Police Station to study their use of protective clothing and satisfaction rate. The survey questions included safety, activity and body fitness in terms of functionality and comfort as well as easiness and design in terms of wearing comfort. Activity scored the lowest (2.89) in terms of functionality as well as comfort (2.40) that scored the lowest in terms of wearing comfort. It is concluded that, in order to correct deficiencies, the weight of protective clothing must be reduced and design changes must be made to eliminate unnecessary areas in clothing and facilitate faster dressing/undressing. In addition, it is strongly recommended that shock absorption materials be inserted only in vital areas in order to enhance thermal comfort.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3356-3374
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• 2018

The healthcare and fitness wearable-device market is considered as the driving force of the entire wearable device market. However, there are concerns with respect to information privacy because wearable devices constantly collect sensitive data such as individuals' health information. Thus, there is a need for a comprehensive understanding from the perspective of information privacy concerns and related behavior. This study investigates factors considered in the privacy calculus of wearable fitness devices, and verifies differences obtained by the privacy calculus process according to the frequency of exercise. The results obtained from a survey of 248 undergraduate students in Korea revealed that service providers should consider users' interests and exercise characteristics in order to mitigate their privacy concerns and encourage continuous use of wearable devices. This study provides useful insights pertaining to users of wearable fitness devices, and targets researchers and practitioners.

• 경영과학
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• 제30권1호
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• pp.43-58
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• 2013

Although analysis of charts, which used in stock trading by distinguishing standardized patterns in the movements of stock prices, is simple and easy to use, there can be problems stemming from specific patterns being distinguished as a result of the subjective perspectives of analysts. In accordance with such problems, through the method of template pattern matching, 4 trend reversal patterns were designed and the fitness of the patterns were quantitatively measured. In cases when a stock is purchased when the template pattern fitness value is within a certain range and held for at least 20-days, the average return ratio was analyzed to be higher-with the difference being statistically significant-than the average return ratio attained from trading a stock according to the same method per the Efficient Market Hypothesis. From the results of stock trades of 2 domestic corporations to which the values of the 4 patterns had been applied based on the 4 strategies, it was possible to ascertain differences in the strategy- and pattern-dependent return ratios. Through this study, along with presenting the exceptions for the Efficient Market Hypothesis in stock trading, the fitness level of quantitative chart patterns was measured and the theoretical basis for application of such fitness level was proposed.

• 한국해양공학회지
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• 제27권5호
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• pp.28-35
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• 2013

In this paper, a research on the composition of the nesting algorithm fitness function is carried out by performing various numerical experiments to inspect how it affects the scrap efficiency, allocation characteristics, and time consumption, targeting the nesting results of ship parts. This paper specifically concentrates on a method to minimize the scrap ratio and efficiently use the well-defined remnants of a raw plate after the nesting process for the remnant nesting. Therefore, experiments for various ship parts are carried out with the weighting factor method, one of the multi-objective optimum design methods. Using various weighting factor sets, the nesting results are evaluated in accordance with the above purposes and compared with each set for each ship part groups. Consequently, it is suggested that the nesting algorithm fitness function should be constructed differently depending on the characteristics of the parts and the needs of the users.

• 정보교육학회논문지
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• 제19권1호
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• pp.99-112
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• 2015

청소년의 건강이 갈수록 악화되어 가고 있는 가운데 학교현장에서는 다양한 건강체력 향상 프로그램이 진행되고 있다. 그러나 교사의 지도 없이 자기 주도적 체력 관리를 하기에는 다양한 제약이 따른다. 이를 위해 체력관리 어플리케이션 활용이 도움이 될 수 있지만 기존의 운동 어플리케이션은 대부분 성인을 대상으로 개발되어 성장기 청소년이 사용하기에는 한계가 있다. 그러므로 본 논문에서는 청소년의 자기 주도적 체력관리가 가능한 체력증진 어플리케이션을 개발하였다. 본 어플리케이션의 특징은 홈트레이닝과 스쿨트레이닝으로 분류하여 다양한 운동 프로그램을 제공하며, 지속적 활용을 위해 흥미요소를 가미하여 제작하였다. 적용 결과 실험집단 학생들의 건강체력이 대다수 향상되었으며, 어플리케이션 만족도 운동시간 지속적 사용에 대한 반응이 긍정적으로 나타났다.

• 한국정보통신학회논문지
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• 제20권3호
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• pp.599-606
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• 2016

본 논문에서는 NFC 통신기술 기반의 스마트밴드를 이용하여 스포츠 센터의 운동기구를 예약하여 사용할 수 있도록 하는 운동기구 예약 시스템을 설계하고 구현한다. 사용자는 스마트밴드를 통하여 언제 어떤 운동 기구를 사용해야 하는지 알림 정보를 수신할 수 있다. 사용자는 추천 운동 프로그램을 활용하여 운동을 할 수 있고, 피크 시간에도 대기인원이 없기 때문에 편하게 원하는 운동기구를 사용할 수 있다. 또한, 관리자는 효율적인 시설관리를 통해 비용을 절감할 수 있고 수집된 운동 정보를 통해 사용자에게 맞춤 정보를 제공함으로써 경쟁력 있는 센터 운영이 가능하다.

• 디지털콘텐츠학회 논문지
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• 제19권9호
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• pp.1717-1726
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• 2018

본 연구는 플로우이론과 UTAUT모형에 의한 IoT기반 피트니스 트래커의 이용의도에 영향을 미치는 요인을 알아보고자 한다. IoT기반 피트니스 트래커의 독립변수들로 플로우 경험이론에서 사용된 도전감과 숙련도 요인을 활용하고 개인적 특성인 건강관심도와 유희성 그리고 사회적 영향, 촉진조건을 선정하였다. 또한 UTAUT이론을 활용하여 성과기대와 노력기대를 매개변수로 활용하였으며 종속변수로는 사용의도를 선정하였다. 이러한 연구가설을 검증하기 위하여 본 연구는 126개의 설문자료를 수집하고 Smart PLS를 활용하여 통계적 분석을 실시하였다. 연구결과, 통합기술수용모델 (UTAUT)의 주요변수와 더불어 본 연구에서 새롭게 도입한 플로우 경험과 개인적 특성요인이 IoT기반 피트니스 웨어러블 환경에서도 유의한 영향을 미치는 것으로 나타났다.