• 한국조리학회지
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• 제8권3호
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• pp.1-20
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• 2002

The rapidly changing environments of today's hospitality industry lays more and more emphasis on the management of food & beverage sector. Hotel restaurants changes their menus 2 times a year. But they tend to modify or complement old items, or imitate other restaurants'menus, rather than try new ones. In addition, the change cycles are determined without any systematic and scientific criteria. Based on the survey, a plan for managing menu change cycles is proposed. The proposed plan is summarized as follows: First, the survey result demonstrates that the appropriate frequency of menu changes is: twice a year for the fixed menu; four times for the seasonal menu; four times for the promotion menu; twice for the business menu; and, three times for the event menu. Second, under the management maintained by consistent monitoring of menu change. Third, menu change should be managed through the menu analyses on its profitability, popularity, and the potential for further growth. Fourth, menu change should be managed through the periodic investigations of the tastes and preferences of the customers. fifth, a unique system for the menu change should be constructed by analyzing of other competitive restaurants or restaurant chain stores.

• ETRI Journal
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• 제40권4호
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• pp.435-445
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• 2018

This paper proposes a human-like sign-language learning method that uses a deep-learning technique. Inspired by the fact that humans can learn sign language from just a set of pictures in a book, in the proposed method, the input data are pre-processed into an image. In addition, the network is partially pre-trained to imitate the preliminarily obtained knowledge of humans. The learning process is implemented with a well-known network, that is, a convolutional neural network. Twelve sign actions are learned in 10 situations, and can be recognized with an accuracy of 99% in scenarios with low-cost equipment and limited data. The results show that the system is highly practical, as well as accurate and robust.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 추계학술대회 논문집
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• pp.461-466
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• 1993

This paper focuses on development and implementation of a performance management algorithm for IEEE802.4 token bus networks to serve large-sale integrated systems. The delivery of time critical messages within delay constraints is an important criterion in the design and management of computer communication networks. In order to achieve this goal, the theory of fuzzy sets has been employed to imitate human's reasoning. The Fuzzy Network Performance Manager(FNPM) is composed of two parts: FNPM1 & FNPM2. FNPM1 is solily intended to satisfy the data latencyfor the highest priority while the other part is trying to satisfy those for the lower priorities. The FNPM requires average data latency, throughput, and token circulation time for its inputs. The efficacy of the FNPM has been evaluated by a series of simulation experiments.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.114-117
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• 2005

An expert system is a system that employs human knowledge captured in a computer to solve problem that ordinarily require human expertise. Well-designed expert systems imitate the reasoning processes experts use to solve specific problem. Specially, expert systems are used to the engineer in manufacturing industry for the process control, production management and system management. In this paper, we propose the design process expert system for product design process in manufacturing industry and we present introduction and contents of design process expert system methodology and software for the air purifier design system. This system will be helpful to improvement of design process for the air purifier production.

• 환경위생공학
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• 제6권1호
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• pp.63-82
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• 1991

This study was carried out to examine the mutagenicity of extracts from grilled pork belly and the effect of garlic on it by using Arnes test. And in order to imitate the in vivo metabolic activation system of the mutagens, the enzymatic activation system was adopted. The results are summarlized as follows: 1. The degree of browning in pork belly extracts increased with the increasing heating intensity of the grilling. 2. When pork belly grilled at "low" heating intensity, no mutagenicity was detected. However with the samples grilled at "medium" and "high" heating intersity, mutagenicity was recognized. 3. The mutagenicity of grilled pork belly extract decreased remarkabley with the addition of S-9 mix. 4. The mutagenicity of grilled pork belly extract decreased with the addition of garlic extract.

• 한국경영과학회지
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• 제25권4호
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• pp.67-80
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• 2000

Symbiotic evolutionary algorithms, also called cooperative coevolutionary algorithms, are stochastic search algorithms that imitate the biological coevolution process through symbiotic interactions. In the algorithms, the fitness evaluation of an individual required first selecting symbiotic partners of the individual. Several partner selection strategies are provided. The goal of this study is to analyze how much partnering strategies can influence the performance of the algorithms. With two types of test-bed problems: the NKC model and the binary string covering problem, extensive experiments are carried out to compare the performance of partnering strategies, using the analysis of variance. The experimental results indicate that there does not exist statistically significant difference in their performance.

• 지역사회간호학회지
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• 제13권1호
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• pp.137-146
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• 2002

Purpose: To analyze the exposure of middle school students to pornography. Method The Questionnaire. The data collected were from November 6 to November 12, 2000. The subjects of this study consisted of 664 middle school students in Kangwon Province. The data collected were analyzed using, percentage, mean, standard deviation, t-test and Pearson Correlation. The Result: The most frequently viewed program was computer pornography. Except no response about eighty-five percent (85%) of the subjects viewed the pornography prior to elementary school. Moreover, The subjects viewed pornography for the first time in a PC room. Lastly, this study found that there was a significant relationship between the frequency. consumed time and numbers of viewing media violence and the impulse to imitate and imitation acting after viewing the pornography. Conclusion: Realistic and future-directed strategies should be developed for middle school students to decrease their exposure to pornography.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2002년도 학술대회논문집
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• pp.251-255
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• 2002

This paper describes the analysis of UHF signals taking place at partial discharges due to defects in GIS. To imitate the defects, two kinds of electrode were employed. One is to generate the PD due to corona discharge, and the other surface discharge. As a result, the magnitude of the UHF signals acquired from the discharges increased with the applied voltage. However, each frequency distribution trend at corona discharges and surface discharge was similar even though the applied voltage increased. Frequency distribution between corona discharge and surface discharge was clearly distinguish.

• Journal of Advanced Marine Engineering and Technology
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• 제27권1호
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• pp.76-81
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• 2003

The purpose of this study is to analyze the collapse characteristics of widely used spot welded section members coated damping material Y1000 and to develop an analysis method for acquiring exact collapse loads and energy absorption ratio. Hat-shaped thin-walled members have the biggest energy absorbing capacity in a front-end collision. The sections were tested on quasi-static and impact loads. Specimens with two type thickness, width ratio and spot weld pitch on the flange have been tested in impact velocities(6.73n0sec and 7.54n1sec) which imitate a real-life car collision. As a result, it was developed the system for acquiring impact energy absorbing characteristics of structure united thin-walled member and damping materials.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.524-527
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• 1995

In most cases, a crane is controlled by an open-loop technique. That is, the controller tries to follow a given velocity profile that is designed to minimize the swing of rope and the transfer time. But such a system is not capable of handling various disturbances such as changing rope length and wind effect. In order to overcome this kind of difficulty, this research focuses on the design of a feedback controller using intelligent techniques such as fuzzy logic and neural network. These intelligent techniques has been emplyoyed in order to represent human knowledge and to imitate human learning. The deveped controllers have been evaluated via computer simulation