• 한국동물위생학회지
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• 제42권2호
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• pp.67-71
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• 2019

A variety of livestock feed resources were used in Korean dairy farm due to a lack of the endemic feed. However, there is inadequate real farm data to support farmers' decisions on the choice of options. The main objective of this study was to evaluate the nutritional value of total mixed ration (TMR) as well as the metabolic diseases status in Korean dairy farms. TMR samples were collected from nine feed companies and eight selected self-formulated by the dairy farms. The nutrient contents were examined by AOAC methods. The frequency of metabolic diseases such as ketosis and hypocalcemia were surveyed. The average moisture content was 36.2% although the min. and max. value were varied from 21.7% and 50.6% among farms. The mean${\pm}$standard deviation of crude fiber (CF), crude ash (CA), ether extract (EE), and crude protein (CP) were $21.4{\pm}2.5$, $4.6{\pm}0.4$, $3.2{\pm}0.5$ and $9.8{\pm}1.7$, respectively. However, the average ADF and NDF was $17.3{\pm}3.7$ and $31.0{\pm}5.7$, respectively. The compositions of TMR were varied significantly among the dairy farms. The frequency of clinical Ketosis (CK), subclinical ketosis (SCK) and hypocalcemia were higher in early lactation period with 4.5%, 11.0% and 3.0%, respectively. Also, the frequency of SCK was higher than CK and hypocalcemia throughout the lactation. Periodic TMR nutrient analysis based on herd production or physiology change would maximize the effects of TMR feeding. Furthermore, the study results would be useful to the farm practitioner and producer for their farm management.

• 경영정보학연구
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• 제7권2호
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• pp.41-59
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• 2005

본 연구는 모바일콘텐츠 중 성장 가능성이 가장 큰 것으로 예측되는 모바일게임에 대해 사용자들의 사용의도에 영향을 미치는 요인의 탐색을 위해 기술수용모델의 인지된 용이성, 인지된 유용성, 사용의도의 기본 모델에 모바일 게임특성과 모바일 디바이스의 특성, 즐거움요인을 추가로 확장하여 모바일 게이머의 게임 사용의도에 대한 영향 요인을 실증적으로 검증하였다. 그 결과 모바일게임 사용의도의 선행 요인으로 설정된 유용성과 용이성, 즐거움 요인 모두 사용의도에 유의한 영향력이 있는 것으로 나타났다. 한편 모바일 게임의 유용성 인식에는 개성표현성과 즐거움 요인은 유의한 것으로 나타났으나 용이성은 유의하지 않은 것으로 나타났으며, 인지된 용이성의 선행요인으로 설정된 자기효능감, 조작성, 화면크기, 실행속도 중에서는 자기효능감과 조작성만이 유의한 것으로 나타났다. 또한 인지된 즐거움에 영향을 미치는 요인으로 조작성, 디자인/스토리, 보상, 용이성이 유의한 것으로 나타났으며, 이중 용이성의 영향력이 가장 큰 것으로 나타났다. 통계적 검증 결과 통해 모바일 게임 콘텐츠 개발과 관련된 실무적 시사점을 도출하였다.

• 한국콘텐츠학회논문지
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• 제6권9호
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• pp.67-74
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• 2006

최근, 우리는 국가적으로 유비쿼터스 기술을 기반으로 국가를 경영하고 발전시키는 u-Korea 전략을 제시하였다. 이에 따라 많은 지자체들이 자체적으로 자신의 환경에 가장 적합한 미래 도시를 건설하기 위해 u-City 구축 계획을 작성하고 있다. 본 논문에서는 유비쿼터스 관련 계획들의 동향과 특성을 분석한 후 진주에서 국제 청소년 디지털 영화제를 모바일을 이용한 유비쿼터스 기술 기반으로 기획한다. 그리고 디지털 콘텐츠 산업의 한 분야인 디지털 영화산업 전략을 제안한다. 또한, 이를 바탕으로 본 논문은 진주 전역을 유비쿼터스 서비스가 지원되는 도농 복합형 u-진주를 위한 초기 수준의 연구 방안을 제시한다.

• Transactions on Electrical and Electronic Materials
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• 제17권5호
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• pp.239-251
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• 2016

The potential of nanocomposites have been drawing the intention of the researchers from energy storage to electrical insulation applications. Nanocomposites are known to improve dielectric properties, such as the increase in dielectric breakdown strength, suppressing the partial discharge (PD) as well as space charge, and prolonging the treeing, etc. In this review, different theories have been established to explain the reactions at the interaction zone of polymer matrix and nanofiller; the characterization methods of nanocomposites are also presented. Furthermore, the remarkable findings in the fields of epoxy, cross-linked polyethylene (XLPE), polypropylene and polyvinyl chloride (PVC) nanocomposites are reviewed. In this study, it was observed that there is lack of comparison between results of lab scale specimens and actual field aged cables. Also, non-standardization of the preparation methods and processing parameters lead to changes in the polymer structure and its surface degradation. However, on the positive side, recent attempt of 250 kV XLPE nanocomposite HVDC cables in service may deliver a promising performance in the coming years. Moreover, materials such as self-healing polymer nanocomposites may emerge as substitutes to traditional insulations.

• 한국정보시스템학회지:정보시스템연구
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• 제13권2호
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• pp.89-117
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• 2004

Mobile technologies and services have become one of the inevitable parts of people's lives and mobile businesses have also been widespread. Popular mobile internet services through cell phones have made people in the financial industry consider that 'mobile' is promising. Nevertheless, there have been little studies of mobile services in the financial industry and most of the studies have been concentrated on internet services. The main purpose of this study is to investigate on the determinants of intention to use mobile banking. To achieve the goal, based on the theoretical backgrounds of the Technology Acceptance Model(TAM). Survey questionnaires were distributed via post & email to 500 users who have been experiences with cell phone and have an account. Out of 291 responded questionnaires, 275 data sets were available for statistical analysis with SPSS 10.1. Research hypotheses are analyzed by LISREL 8.30. Factor analysis identified seven external factors : (1) convenience, (2) cost, (3) unusefulness, (4) riskiness, (5) personal innovativeness (6) users' self-efficacy (7) experience of mobile services. Results of this study show that convenience, unusefulness, riskiness, personal innovativeness and experience of mobile services have significant effects on intention to use mobile banking . Much of the previous researches have dealt with service provider only and have focused on mobile internet. In this regard, when it comes to a viewpoint that regards the mobile banking sector as a new sector of mobile businesses. This study may provide a guideline to activate of mobile banking acceptance.

• International Journal of Advanced Culture Technology
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• 제4권4호
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• pp.13-22
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• 2016

The purpose of this study is to identify the characteristics of school life and to examine the influencing factors of academic adjustment and social adjustment in university students. This cross-sectional descriptive study by using secondary data from 2,064 subjects who responded to a self-rated student adjustment test. Descriptive, t-test, ANOVA, Pearson correlation and multiple regression analyses were conducted. Satisfaction with college selection, expectation for college, satisfaction with college service, emotional stability, and relationships with faculty were significantly higher among male students, whereas confidence in major, support from others were significantly higher among the female students. There was a significant positive relationship between academic adjustment and confidence in major, and between social adjustment and expectation for college. Confidence in major, relationships with faculty, emotional stability, expectation for college, satisfaction with college selection, and commitment to college life accounted for 31.8% of the variance in academic adjustment. In addition expectation for college, emotional stability, support from others, gender, commitment to college life, and satisfaction with college services accounted for 44.7% of the variance in social adjustment for university students. Overall, the results of this study suggest that understanding the levels of expectation for college, commitment to college life, and levels of emotional stability may be important for facilitating their transition and adjustment to university life.

• 로봇학회논문지
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• 제13권1호
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• pp.31-37
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• 2018

Recently, the safety in vehicle also has become a hot topic as self-driving car is developed. In passive safety systems such as airbags and seat belts, the system is being changed into an active system that actively grasps the status and behavior of the passengers including the driver to mitigate the risk. Furthermore, it is expected that it will be possible to provide customized services such as seat deformation, air conditioning operation and D.W.D (Distraction While Driving) warning suitable for the passenger by using occupant information. In this paper, we propose robust vehicle occupant detection algorithm based on RGB-Depth-Thermal camera for obtaining the passengers information. The RGB-Depth-Thermal camera sensor system was configured to be robust against various environment. Also, one of the deep learning algorithms, OpenPose, was used for occupant detection. This algorithm is advantageous not only for RGB image but also for thermal image even using existing learned model. The algorithm will be supplemented to acquire high level information such as passenger attitude detection and face recognition mentioned in the introduction and provide customized active convenience service.

• Journal of Communications and Networks
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• 제9권4호
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• pp.428-437
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• 2007

Along with the development of network, more and more functions and services are required by users, while traditional network fails to support all of them. Although overlay is a good solution to some demands, using them in an efficient, scalable way is still a problem. This paper puts forward a framework on how to construct an efficient, scalable overlay mesh in real network. Main differences between other overlays and ours are that our overlay mesh processes some nice features including class-of-service(CoS) and traffic engineering(TE). It embeds the end-to-end optimal traffic control law which can distribute traffic in an optimal way. Then, an example is given for better understanding the framework. Particularly, besides good scalability, and failure recovery, it possesses other characteristics such as routing simplicity, self-organization, etc. In such an overlay mesh, an applicable source routing scheme called hierarchical source routing is used to transmit data packet based on UDP protocol. Finally, a guideline derived from a number of simulations is proposed on how to set various parameters in this overlay mesh, which makes the overlay more efficient.

• Journal of Community Nutrition
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• 제8권3호
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• pp.127-133
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• 2006

This study attempted to investigate and compare the level of needs and expected benefits of information technology(IT) applications in restaurant operation from managerial and employee levels. Self-competence levels, education and training needs, and the company IT application levels were evaluated. The respondents for the study were the staff of full-service, mid-scale restaurants owned by a firm. Among the respondents, 17.6% were in managerial level(managers) and 82.4% were in employee level(employees). The results of this study indicated that compared to employees, managers perceived more in-depth that IT is beneficial and is needed in restaurant operation. Both groups rated IT as very much needed and beneficial to restaurant operation. However, managers rated their own technological competence significantly higher than the employees did. Both groups expressed the desire for IT training and education although the managers' needs were stronger than the other group. The company's IT application level was assessed by the managers and employees at a slightly higher than average score on a 5-point scale, showing no difference between the groups. The study findings show that the respondents perceived the IT needs and benefits than the present IT application level of restaurants, which suggests more IT applications be adopted to the restaurant operations.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.833-852
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• 2019

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.