• Food Quality and Culture
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• 제1권1호
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• pp.58-61
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• 2007

The purpose of this study was to develop an effective cost control model for university foodservice operations by analyzing student satisfaction, as well as foodservice income statements for operational characteristics. The specific objectives were to examine the satisfaction of students for various foodservice quality dimensions, to determine the financial activities performed in foodservice operations by operational type, to examine their income statement data, and lastly, to compare the student satisfaction for foodservice quality with the financial data of the income statements. A total of 545 students from one university answered a satisfaction survey. The one-year income statements of three union foodservices (self-operated, small-scale contracted, and large-scale contracted) at the same university were analyzed. The results showed that the self-operated union foodservice had lower student satisfaction scores and higher food and labor cost ratios. The small-scale contract management foodservice data indicated the highest student satisfaction scores and the lowest food and labor cost ratios. The large-scale contract management foodservice data showed medium scores when comparing the three union foodservice operations. Overall, by comparing the satisfaction scores and operational profits, the small-scale union foodservices showed the highest satisfaction scores and profit.

• Nuclear Engineering and Technology
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• 제53권3호
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• pp.974-987
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• 2021

This paper presents ductile fracture simulation of full-scale cracked pipe for nuclear piping materials using the cohesive zone model (CZM). The main objective of this study is to investigate the applicability of CZM to predict ductile fracture of cracked pipes with various crack shapes and under quasi-static/dynamic loadings. The transferability of the traction-separation (T-S) curve from a small-scale specimen to a full-scale pipe is demonstrated by simulating small- and full-scale tests. T-S curves are calibrated by comparing experimental data of compact tension specimens with finite element analysis results. The calibrated T-S curves are utilized to predict the fracture behavior of cracked pipes. Three types of full-scale pipe tests are considered: pipe with circumferential through-wall crack under quasistatic/dynamic loadings, and with 360° internal surface crack under quasi-static loading. Computational results using the calibrated T-S curves show a good agreement with experimental data, demonstrating the transferability of the T-S curves from small-scale specimen.

• Journal of Electrical Engineering and Technology
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• 제5권1호
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• pp.16-20
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• 2010

Recently, the smart grid has become a hot issue and interest in related power sources have increased accordingly. The implementation of a smart grid can enable many generation resources to be linked to the power system, including small-scale reactors for the purpose of co-generation. Research on small-scale reactors is being carried out all over the world. Similarly, Korea is also conducting research on multi-purpose regional energy systems using nuclear energy. This paper proposes a real-time data acquisition and analysis system for small-scale reactors, and is known as the REX-10 (Regional Energy rX 10 MVA). This analysis requires real-time simulations for the power system since it needs data communication with a remote REX-10. A RTDS (Real Time Digital Simulator) has been used for the simulation, and a SCADA/HMI system interfaced with the RTDS is proposed for the purpose of monitoring and control of the regional energy system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2399-2401
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• 1998

For a medium/small scale DAS, which using the PCS network as the system communication network, we developed the scheme of communication protocol of DAS between master and remote terminal. This paper presents advanced protocol which has basic frame format and data flow for the medium/small scale DAS, and the procedure of the developing sequence.

• Journal of Multimedia Information System
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• 제5권2호
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• pp.111-114
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• 2018

Traffic accident analysis is important to reduce the occurrence of the accidents. In this paper, we analyze the traffic accident with Apriori algorithm to find out an association rule of traffic accident in Korea. We first design the traffic accident analysis model, and then collect the traffic accidents data. We preprocessed the collected data and derived some new variables and attributes for analyzing. Next, we analyze based on statistical method and Apriori algorithm. The result shows that many large-scale accident has occurred by vans in daytime. Medium-scale accident has occurred more in day than nighttime, and by cars more than vans. Small-scale accident has occurred more in night time than day time, however, the numbers were similar. Also, car-human accident is more occurred than car-car accident in small-scale accident.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2003년도 학술발표논문집
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• pp.327-330
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• 2003

The objectives of this study are to develope the automatic design programs to offer the data when constructing a small scale vinyl-house by region. This program consists of four subroutines. The first is an automatic greenhouse modeling program, the second is a calculating design load program by region, the third is a structural analysis program and the last is a optimum shape design program. The structural analysis can be conducted by simple date input and considering the design load of the install regions into account. The shape of input data is very simple, and the program reflects the design load by region. The output data can be obtained from the automatical calculation processing after structural analysis. The program was verified by compared with outputs of a common use structural analysis program and the results are the same. It was concluded that the developed program could be used efficiently in optimum design of small scale vinyl house.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

• 한국측량학회지
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• 제13권1호
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• pp.77-83
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• 1995

수치지도 제작의 일반화 기법은 대축척 실측 지도를 이용한 소축척 편집 지도의 자동 제작과 수치 지도 데이터 베이스 구축 등의 활용 분야에 필수적 요소이다. 본 연구는 수작업으로 처리되고 있는 편집도의 제작을 자동화하기 위한 방안으로 디지탈 환경하에서의 일반화 기법에 대한 연구로서 Zero-Crossing알고리즘을 국립지리원 발행 l/5,000지도 6도엽에 포함되어 있는 전남 여수 일대의 해안선에 적용, 다양한 단순화 허용 범위에 의해 수치 지도를 제작하여 편집도와 도해적인 표현 방법에 대한 문제점을 비교 분석하였다. 또한, Zero-Crossing알고리즘에 의한 단순화의 효용성을 입증하기 위해 Douglas-Peucker알고리즘을 이용한 단순화 결과와 비교 분석을 하였으며, 단순화의 허용 범위별로 일반화가 이루어진 수치 지도와 수작업으로 제작된 편집도와의 비교를 통해 일반화된 Line에 대한 평가를 도출하고, 단순화 허용 범위의 선택에 따른 효율성을 판단하기 위해 일반화 처리 결과의 데이타 용량을 분석하였다.

• 중소기업융합학회논문지
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• 제3권1호
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• pp.15-22
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• 2013

현재 우리나라 중소기업은 혁신역량이 부족한 영세기업의 비중이 높고, 매출 규모가 건실한 기업군이 취약한 구조로 발전을 기대하기 어려운 상황이다. 따라서 정부 3.0을 기반으로 한 중소기업의 빅 데이터 활용방안을 제시한다. 정부 3.0을 기반으로 중소기업의 활성화를 위한 정부지원 빅 데이터 활용 방안을 제시한다. 정부3.0을 기반으로 빅 데이터 인프라를 중소기업과 중소 벤처들이 자유롭게 이용할 수 있는 개방형 빅 데이터 서비스 플랫폼의 구축이 반드시 필요하다.

• 수산경영론집
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• 제40권1호
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• pp.1-26
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• 2009

The aquaculture management considers the maintenance of households lifehood more than profit maximization. As aquaculture industry has developed enterprise farms appeared, and the small and the large scale farms coexist. The features of coexistence could be summarized as followings. First of all, the large scale farms show the higher net profit while the small scale farms show the higher profit per 1ha and the earning rate. Secondly, in the case of over 2ha, the earning rate is stable in spite of the scale expansion. Moreover, in processing method, dried seaweed occupy the biggest proportion in the small scale farms while the raw seaweed occupy the biggest proportion in the large scale farms. Lastly, the scale of farms becomes larger, the participation rate of household labor rises. This thesis analyses the efficiency of Korean seaweed farms in the way of DEA model and suggests the improvements for the efficiency management. The mean technical, pure technical and scale efficiencies were measured to be 0.88, 0.96 and 0.91, respectively. Among the 20 farms included in the analysis, 10 were technically efficient and 12 were scale efficient. In conclusion, it is shown that the aquaculture farms has been becoming the form of coexistence. This appearance results in the effort for reducing the cost in the small scale farms and in profit maximization in the large scale farms. On the other hand, middle scale farms is inefficient compared with the small or large scale farms. Therefore, in order to achieve the efficiency, it is necessary to accomplish economy of scale by extending farm size or to cut expenses by reducing farm area. In other word, the efforts for achieving the efficiency is required in a different direction in spite of the same scale.