• Journal of Korean Academy of Nursing
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• v.38 no.3
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• pp.393-402
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• 2008

Purpose: The purpose of this study was to evaluate the effect of an On-line health promotion program connected with a hospital health examination center. Methods: Based on contents developed, the www.kmwellbeing.comhomepagewas developed. The research design was a one group pretest-posttest design. Seventy-three clients participated in this study. The data were collected from January 3 to June 30, 2005. As a way of utilizing the homepage, this paper attempted to measure the change of pre and post program health promotion behavior and health status (perceived health status, objective health index-blood pressure, pulse, total cholesterol, blood sugar, waist flexibility, grip strength and lower extremity strength). Data were analyzed by descriptive statistics and paired t-test with the SPSS/Win 12.0 program. Results: There were significant differences of perceived health status, systolic BP, waist flexibility and grip strength. However, there were no significant differences in health promotion behavior, diastolic BP, pulse, lower extremity strength, blood sugar and total cholesterol between pre program and post program. Conclusion: It is expected that an on-line health promotion program connected with a hospital health examination center will provide an effective learning media for health education and partially contribute to client's health promotion. A strategy, however, is needed to facilitate the continuous use of the on-line health promotion program for adult clients.

• Culinary science and hospitality research
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• v.22 no.7
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• pp.22-35
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• 2016

This study presents to demonstrate the relationships among emotional intelligence, job engagement, and work performance as perceived by hotel employees. For conducting analysis in this study, 380 copies of the questionnaire were distributed to the employees in deluxe hotels in Seoul and 353 copies was used for statistical analysing by using SPSS 18.0. Current stud y found that the factors of hotel employees' emotional intelligence (other's emotion, control of emotion, self-emotion, and use of emotion) have a critical effect on the concentration job engagement. In addition, the elements of job engagement (concentration and job engagement) have a significantly effect on work performance. Based on these results, the study established that hotel employees' emotional intelligence and job engagement were important elements as key factors affecting the continuous work performance of the hotel industry. Through these study results, this study provides practical implications that help hotel employees to better understand their emotional factors are critical predictor of job engagement and it will be useful information for utilizing human resources and improve their work performance.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.2
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• pp.39-51
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• 2018

Long-term unexecuted urban parks will be released from urban planning facilities after 2020, this may result in development of those parks. However, little research have been focused on how to develop those parks considering conservation, development, spatial pattern, and so on. Therefore, in this study, we suggested an optimization planning model that minimizes the fragmentation while maximizing the conservation and development profit using ACO (Ant Colony Optimization). Our study area is Suwon Yeongheung Park, which is long-term unexecuted urban parks and have actual plan for private development in 2019. Using our optimization planning model, we obtained four alternatives(A, B, C, D), all of which showed continuous land use patterns and satisfied the objectives related to conservation and development. Each alternative are optimized based on different weight combinations of conservation, development, and fragmentation, and we can also generated other alternatives immediately by adjusting the weights. This is possible because the planning process in our model is very fast and quantitative. Therefore, we expected our optimization planning model can support "spatial decision making" of various issue and sites.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.609-615
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• 2022

In this paper, we propose a monitoring system for illegal overseas direct purchase based on C2C transaction between individuals. The Customs Act stipulates that direct purchases from overseas are exempted from taxation only if they are less than a certain amount (US$150, but US$200 in the US) or are recognized as self-used goods. The act of reselling overseas direct purchase items purchased with exemption from taxation online, etc., is a crime of smuggling without a report. Nevertheless, the number of re-sells on online second-hand websites is increasing, and it is becoming a controversial social issue of continuous violation of the Customs Act. Therefore, this study collects unspecified transaction details related to overseas direct purchase, refines the data in a big data method, and designs it as a monitoring system through natural language processing, etc. analyzed. It will be possible to use it to crack down on illegal transactions of overseas direct purchase goods.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.187-201
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• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

• Korean Journal of Psychosomatic Medicine
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• v.9 no.1
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• pp.93-102
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• 2001

The relaxation response is a state of profound rest, creates physiological responses directly opposite to the stress response. The relaxation response can be used to counteract the harmful effects of stress. The relaxation response can be elicited by a number of techniques such as diaphragmatic breathing, meditation, progressive muscle relaxation, autogenic training, biofeedback, etc. These relaxation methods in any mental or physical conditions associated with distress and even in normal people have useful benefits for stress control and health enhancement. These relaxation techniques are but one part of a comprehensive stress management program, through regular and continuous practice appropriate for each person, they will make an effective role in stress management. In this review, author reviewed how to practically use meditation, progressive muscle relaxation and autogenic training, in more detail. In the treatment of various stress-related disease, especially in psychiatric disorders, the relaxation technique may be a useful complement to conventional treatment and serves as an intervention between stress and disease.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.16 no.3
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• pp.237-250
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• 2003

Since an orthotropic steel deck bridge has large number of design variables and shows complex structural behavior, it would be very difficult and impractical to directly use a Conventional Single Level (CSL) optimization algorithm for its optimum design. Thus, in this paper, an Improved Multi Level Design Synthesis (IMLDS) optimization algorithm is proposed to improve the computational efficiency. In the proposed IMLDS algorithm, a coordination method is introduced to divide the bridge into main girders and orthotropic steel deck with preserving the characteristics of the structural behavior. For an efficient optimization of the bridge, the IMLDS algorithm incorporates the various crucial approximation techniques such as constraints deletion, Automatic Differentiation (AD), stress reanalysis, and etc. In the case of orthotropic steel deck system, optimum design problems are characterized by mixed continuous discrete variables and discontinuous design space. Thus, a modified Genetic Algorithm (GA) is also applied to optimize discrete member design for orthotropic steel deck. From the numerical example, the efficiency and convergency of the IMLDS algorithm proposed in this paper is investigated. It may be positively stated that the IMLDS algorithm will lead to more effective and practical design compared with previous algorithms.

• Journal of Advanced Navigation Technology
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• v.27 no.3
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• pp.314-322
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• 2023

The use of unmanned aerial vehicles is rapidly increasing in order to effectively utilize limited manpower and minimize casualties on the battlefield. The requirements for ground control equipment vary depending on the operating concept and environment of the unmanned aerial system, but there are still common requirements. However, the lack of standardized system configurations to meet these common requirements makes it difficult to reuse common functions, leading to continuous acquisition costs. To solve this problem, this paper develops a Korean version of the UCS model using the UCS architecture. Furthermore, after designing elements related to service development not specified in the architecture (such as framework, communication middleware, service structure, etc.), we develop a Boilerplate to enhance developers' work efficiency based on this. The results of this study will serve as a foundation for effectively and economically carrying out the development of ground control equipment for unmanned aerial systems.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.3
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• pp.279-288
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• 2018

In this paper, we present the results of educational innovation case study using U-Learning Box and Ubiquitous-based Test(UBT) system for 6 sample primary schools in Nepal. As Nepal is considered to be a developing country with electricity problem to the school, the U-Learning Box, consisting of a small and easy-to-use tablet PC for teacher and a small smart beam with its own battery was evaluated as the optimum solution to support continuous basic English and hygiene education for these schools. And UBT technology using tablet PC was used to evaluate and analyze basic English learning ability of the students, which helped us realized that it is necessary to improve the educational environment and develop suitable educational contents. We hope that the global educational innovation using U-Learning Box and UBT technology will become a successful model for global equality of educational opportunity project for developing countries including Nepal.

• Geophysics and Geophysical Exploration
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• v.5 no.1
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• pp.23-32
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• 2002

Capacitively-coupled resistivity (CCR) system is known to be very useful where galvanic contact to earth is impossible, such as the area covered with thick ice, snow, concrete or asphalt. This system injects current non-galvanically, i.e., capacitively to earth through line antenna and measures potential difference in a same manner. We derived geometric factor for two types of antenna configuration and presented the method of processing and converting the data obtained with CCR system suitable to conventional resistivity inversion analysis. The CCR system, however, has limitations on use at conductive area or electrically noisy area since it is very difficult to inject sufficient current to earth with this system as with conventional resistivity system. This causes low SM ratio when acquiring data with CCR system and great care must be taken in acquiring data with this system. Additionally the uniform contact between line antennas and earth is also crucial factor to obtain good S/N ratio data. The CCR method, however, enables one to perform continuous profiling over a survey line by dragging entire system and thus will be useful in rapid investigation of conductivity distribution in shallow subsurface.