• 한국IT서비스학회지
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• 제18권1호
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• 조명전기설비학회논문지
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• 제26권12호
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• pp.44-49
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• 2012

The earth leakage circuit-breakers installed to protect the human body against electrical shock have conventionally had a sensitivity current of 30 mA and an operating time of 30 ms or less. No reviews are found, however, on the operating time of the current conducting through the human body due to the electrical shock or ground fault. This paper measures the trip-operating time against the earth leakage under the condition of increased current as well as under the condition of rated sensitivity current of the earth leakage circuit-breakers. Further measurement with a prototype model showed an improved operating time of 16 ms or less under the condition of rated sensitivity current. It is expected that development of circuit-breakers with higher safety is possible if the performance of the electronic circuit can be improved.

• 한국병원경영학회지
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• 제6권1호
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• pp.18-40
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• 2001

This study purports to investigate the readiness of the university hospital employees in the knowledge-based management. Data were collected from 550 employees including administrative, nursing, and technical staff of 9 university hospitals located in Seoul and Kyunggi Province through the self-administered questionnaires. The response rate was 79% and 425 questionnaires were used as final data and analyzed using 2 test, t-test, and ANOVA. The main findings of the study are as follows. 1) It seems that most employees of the study hospitals have basic knowledge on the concept of knowledge-based management. This finding implies that the implementation of the knowledge-based management in Korean university hospitals will not likely to face strong resistance from their employees. 2) The results show that Korean hospital employees are still not so accustomed to using e-mail as the main communication tool. This finding suggests that it is necessary to use various communication tools which include electronic data interchange, teleconference, and cyber chatting for facilitating the knowledge-based management in Korean university hospitals. 3) It is desirable to appoint a chief knowledge officer(CKO) for operating knowledge-based management system effectively. 4) A reward system for employees who show a distinguished performance in the creation and sharing of new knowledge should be established. Knowledge mileage system, selection of the best knowledge employee and team will be a good example of the effective reward system. 5) The participation and support from the chief executive officers (CEO) of the hospitals is an important factor for successful knowledge-based management. Furthermore, to make physicians actively participate in the knowledge-based management is another important factor for obtaining valuable outputs from the system. 6) It is found that the knowledge and skills of the hospitals employees on the information technology (IT) are not sufficient for making knowledge-based management more popular. This implies that it is very important to select IT-oriented employees and educate them continuously on the knowledge-based management.

• 방송공학회논문지
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• 제24권7호
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• pp.1266-1275
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• 2019

With increasing criminal rates and number of CCTVs, much attention has been paid to intelligent surveillance system on the horizon. Object detection and tracking algorithms have been developed to reduce false alarms and accurately help security agents immediately response to undesirable changes in video clips such as crimes and accidents. Many studies have proposed a variety of algorithms to improve accuracy of detecting and tracking objects outside tunnels. The proposed methods might not work well in a tunnel because of low illuminance significantly susceptible to tail and warning lights of driving vehicles. The detection performance has rarely been tested against the tunnel environment. This study investigated a feasibility of object detection and tracking in an actual tunnel environment by utilizing YOLOv3 and Kernelized Correlation Filter. We tested 40 actual video clips to differentiate pedestrians and motorcycles to evaluate the performance of our algorithm. The experimental results showed significant difference in detection between pedestrians and motorcycles without false positive rates. Our findings are expected to provide a stepping stone of developing efficient detection algorithms suitable for tunnel environment and encouraging other researchers to glean reliable tracking data for smarter and safer City.

• 디지털융복합연구
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• 제10권4호
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• pp.173-179
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• 2012

본 연구에서는 우리나라 기업중 S기업을 중심으로 하여 고객이 인지한 S기업의 이미지와 관계몰입간의 영향관계를 살펴보고, 이를 통한 마케팅전략수립의 기초가 되고자 하였으며 연구결과 고객들이 S기업의 관계몰입을 생각하는 데 공정성이 크게 영향을 미치는 것으로 나타났다. 기업의 성장성 또한 S기업과의 관계몰입에 어느 정도 영향을 미치고 있기 때문에 이미지만으로 승부를 하기보다 어느 정도의 기술성도 영향을 미친다고 볼 수 있다. 이와 함께 영향을 미치지 않는 여러 가지 요인들 중 신뢰성, 혁신성, 최고경영자 이미지 등에 대한 기업 차원의 신중한 검토를 토대로 하여 보다 고객이 믿을 수 있는 미래 지향적인 기업으로의 이미지제고에 신경을 써야 할 것이다.

• 농업과학연구
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• 제49권4호
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• pp.785-793
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• 2022

In this study, tomato maturity was estimated based on deep learning for a harvesting robot. Tomato images were obtained using a RGB camera installed on a monitoring robot, which was developed previously, and the samples were cropped to 128 × 128 size images to generate a dataset for training the classification model. The classification model was constructed based on convolutional neural networks, and the mean-variance loss was used to learn implicitly the distribution of the data features by class. In the test stage, the tomato maturity was estimated as a continuous index, which has a range of 0 to 1, by calculating the expected class value. The results show that the F1-score of the classification was approximately 0.94, and the performance was similar to that of a deep learning-based classification task in the agriculture field. In addition, it was possible to estimate the distribution in each maturity stage. From the results, it was found that our approach can not only classify the discrete maturation stages of the tomatoes but also can estimate the continuous maturity.

• 현장농수산연구지
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• 제9권1호
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• pp.105-117
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• 2007

This study was carried to analyze the demonstrational cultivation process of selenium supplemented P. linteus and G. lucidum from 2005 to 2006 and ifs effect at Hochimin Agricultural Technology College(HATC) in Vietnam, according to the mutual contract between the Yunjung-nongwon, a fanning company in Korea and HATC. As a result of the demonstrational cultivation of selenium supplemented P. linteus and G. lucidum, the external aspect, such as size, thickness and color of the P. linteus and G. lucidum were very much high qualified comparing to the same strain P. linteus and G. lucidum generally cultivated in Korea. The major contribution factors to this high qualified mushroom product could be drawn as followings; keeping growing condition of the mushroom with precise data collection of Vietnam climate and weather, involvement of the various professors of Korea National Agricultural College(KNAC), maintenance of bio-technical security through the strain cultivation on the oak log in Korea, the Yunjung-nongwon manager's endeavor being consulted by the various professors of KNAC even to be a student of the agricultural chief executive officer(CEO) training course in KNAC and the HATC's constant cooperation to the mushroom demonstrational cultivation instead of the orchid which was originally contracted item.

• 한국환경복원기술학회지
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• 제13권4호
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• pp.10-17
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• 2010

The objectives of this study were to compare the growth of Vitex rotundifolia as affected by the difference of soil depth and mixture ratio in a shallow-extensive green roof module system, and to identify the level of soil thickness and mixture ratio as suitable growing condition to achieve the desired plant growth in green roof. Different soil thickness levels were achieved under 7cm, 15cm and 25cm of shallow-extensive green roof module systems made by woody frame of $500{\times}500{\times}300mm$. Soil mixture ratio were eight types for perlite : peatmoss : leafmold = 7 : 1 : 2 (v/v/v, $P_7P_1L_2$), perlite : peatmoss : leafmold = 6 : 2 : 2 (v/v/v, $P_6P_2L_2$), perlite : peatmoss : leafmold = 5 : 3 : 2 (v/v/v, $P_5P_3L_2$), perlite : peatmoss : leafmold = 4 : 4 : 2 (v/v/v, $P_4P_4L_2$), only sand ($S_{10}$), sand : leafmold = 7 : 3 (v/v, $S_7L_3$), sand : leafmold = 5 : 5 (v/v, $S_5L_5$) and only leafmold ($L_{10}$). The growth response of Vitex rotundifolia had fine and sustain condition in $P_6P_2L_2$, $P_5P_3L_2$ and $P_4P_4L_2$., Especially, in case of $P_6P_2L_2$, growth response appeared to be good even in soil thickness 7cm, which showed low survival rates of Vitex rotundifolia in other soil mixtures. Tree height, root diameter, photosynthesis and chlorophyll contents tended to increase with increased soil thickness.

• 기술혁신학회지
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• 제12권3호
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• pp.564-581
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• 2009

본 연구에서는 기술표준원이 (주)코리아데이터네트워크에 의뢰하여 작성된 설문조사결과를 활용하여 기업의 표준화활동 결정요인을 분석하였다. 표준화활동을 유형(혹은 범주)에 따라 기업의 전사적 표준경영, 인증획득, 국내표준활용, 국제표준활용 등으로 구분하였고, 그 결정요인으로 기술혁신활동(R&D와 특허출원), 기업규모, 수출, 네트워크(산업특성), 기업조직특성 등을 고려하였다. 분석된 표본은 제조업에 속한 636개 기업으로 정성적 분석방법인 로지스틱 회귀모형(logistic regression)을 사용하였다. 분석결과, 첫째 기술혁신활동 변수 중 R&D집약도는 국제표준활용을 제외하고 표준화활동에 영향을 미치지 않는 것으로 나타났다. 둘째, 특허출원은 전사적 차원에서의 표준경영과 인증획득활동에 대해 정(+)의 유의한 효과를 보여 주었다. 셋째, 상대적으로 소기업과 대기업보다는 중간규모의 기업에서 전사적 차원에서의 표준경영자 인증획득활동이 활발하다는 역U자 가설이 성립하는 것으로 분석되었다. 넷째, 표준화에 대한 경영진의 관심은 모든 표준화활동의 유형에 대해서 중요한 결정요인으로 나타났다.

• 방송공학회논문지
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• 제23권6호
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• pp.800-812
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• 2018

본 논문은 최신 가상현실 미디어 기술동향과 다양한 분야에서 시도해 온 VR 멀미저감 방안을 리뷰하여, 가상현실 사용자의 인지적 수용성을 높이는 방안에 대해 논의하였다. 이를 통해 최신 미디어 기술의 사용자 가치제안 방식을 분석하고 Social VR 플랫폼의 인지적 수용성을 개선하는 효율적 방안을 제안하였다. 생체신호 모니터링, VR 콘텐츠 적합도 분석, 멀미 메커니즘 조절, 신체동요측정 기반 멀미예측 등 다양한 멀미저감 방식 중 개발 비용과 사용자 수용성 측면에서 가장 효율적인 신체동요측정 기반 멀미예측 기술의 테스트 결과를 기술하고 적용 방안을 구체화하였다. 가상현실 체험 전 미세한 신체동요가 많은 사용자일수록 VR 멀미 민감도가 크게 증가하는 것을 확인하였다. 개인의 멀미 민감도를 반영하는 본 측정 결과를 다양한 가상현실 환경에서 테스트하고 개인특성에 따른 VR 멀미 데이터베이스를 구축한다면 AI 기반의 멀미 예측기술을 구현하는데 크게 기여할 것으로 예상된다.