• Journal of Service Research and Studies
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• v.11 no.3
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• pp.55-74
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• 2021

In the global era, the tourism industry is a major profitable business, and the state and local governments are making various efforts to provide quality tourism experiences. The purpose of this study in a variety of tourism contents is to study barrier-free subway services in line with the global era, and to expand from the existing rapid, safe, and ordered transportation to the provision of high-quality comfort and all-round service experiences. This study compared and analyzed the subway service systems of Korea, China and both countries through the service design method, and presented a barrier-free subway service system to improve the user's satisfaction with the subway service system by improving the user's service experience. As a result, research results showed that 20 attractive quality attributes in 17 fields, such as convenience facilities, language issues, security equipment, and riding environment, play an important role in improving the quality and experience of subway services. In addition, through the construction of a Service Spatial Scenario, an optimized subway service system can be visualized to help understand this so that it can be used as a reference for creating a strategic application.

• Korean Journal of Food Science and Technology
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• v.30 no.2
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• pp.348-355
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• 1998

The developments of various processed foods and the high quality dried fruits, in particular, are urgently needed for the enhancement of fruit consumption and their competitive values. Therefore, in this study, three variables by three level factorial design and response surface methodology were used to determine optimum conditions for osmotic dehydration of kiwifruit. The relationships of moisture losses, solid gains, weight reductions, sugar contents, titratable acidities and vitamin C contents depending on changes with temperature, sugar concentration and immersion time were investigated. The moisture loss, solid gain, weight reduction and reduction of moisture content after osmotic dehydration were increased as temperature, sugar concentration and immersion time increased. The effect of concentration was more significant than those of temperature and time on mass transfer. Sugar content was increased by increasing sugar concentration, temperature, immersion time during osmotic dehydration. Titratable acidity and vitamin C content were increased by decreasing temperature, immersion time and increasing concentration during osmotic dehydration. The regression models showed a significant lack of fit (P>0.05) and were highly significant with satisfying values of $R^2$. At the given conditions such as $66{\sim}69%$ moisture content, above $24^{\circ}Brix$ sugar content and more than 23 mg% vitamin C, the optimum condition for osmotic dehydration was $37^{\circ}C,\;55^{\circ}Brix$ and 1.5 hour.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.1
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• pp.109-115
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• 2010

This paper deals with trajectory control of computer simulated mobile robot via fuzzy control. Mobile robot is controlled by Mamdani type fuzzy controller. Inputs of the fuzzy controller are angle between mobil robot and target, changed angle and output is the steering angle, which is control input. Fuzzy rules have seven rules and are selected by human experiential knowledge. Also we propose a scaling factors tuning scheme which is the another focus in designing fuzzy controller. In this paper, we adapt the RCGA which is well known in parameter optimization to adjust scaling factors. The simulation results show that the fuzzy control effectively realize trajectory stabilization of the mobile robot along a given reference target from various initial steering angles.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.8-13
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• 2021

The purpose of this study is to propose a throughput costing as a performance measurement tool to measure cost indicators, which are one of the indicators for evaluating organizational performance in a smart factory manufacturing environment. An empirical study by questionnaire was conducted, and 60 experts were surveyed to verify the hypothesis. As a result of the study, it was concluded that the information provided based on throughput costing is helpful in cost measurement and in evaluating organizational performance efficiency and effectiveness, and it was confirmed that this method has usefulness to support the planning and control process. It is proposed that the use of throughput costing by constraint theory, which can maximize throughput and optimize inventory levels in the manufacturing process, can find solutions to bottlenecks affecting the efficiency and effectiveness of organizational performance.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.31-31
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• 2020

가뭄 발생 시 국내 농어촌 지자체 대부분은 추가 수원공 확보를 위한 긴급 대책으로 신규 관정을 개발하거나, 저수지와 하천을 준설하여 가뭄 수요에 대응하는 편이다. 이러한 방법은 즉시 대응에는 효과가 있지만, 고가의 비용이 소요되고, 무엇보다도 국지적으로 가뭄이 빈번하게 발생하는 지역에는 적용에 한계가 있다. 이러한 한계를 극복하기 위하여, 최근 기설 관정을 연계 이용하여 지하수 공급 극대화를 도모하는 기술이 제안되었다. 그런데 기설 관정 연계 이용 시 가장 중요한 사항은 모든 관정에서 최대 양수량을 유지하며 지하수를 공급할 수 있도록 관리해야 하는 점이며, 특히 암반관정의 과잉양수로 인한 간섭현상으로 충적관정이 고갈되어 공급가능한 지하수 수량이 오히려 감소되는 것을 사전에 방지하여야 한다. 이 연구에서는 가뭄 발생 시 암반관정(양수정)에서 최대로 양수했을 때에도 주변 충적관정의 양수능이 유지되는 최소 지하수위를 「지하수위 저하 한계치」로 지정하여 관정 연계 이용의 최적화를 도모하였다. 지하수위 저하 한계치 산정을 위하여, Theis의 자유면 대수층 정상류 우물수리 방정식과 지하수영향반겅 설정에 관한 경험식(Schultz, Weber, Kozeny 및 Jacob 경험식)을 이용하였다. 그런데 지정된 지하수위 저하 한계치는 충적관정의 지하수위이므로, 암반관측공만 소재하는 지역에 대해서는 충적층 지하수위 변동과 암반층 지하수위 변동 간의 상관분석을 통해 암반 관측공의 지하수위 저하 한계치를 추정하였다. 이후, 양수시험 자료(양수정과 주변 관측공의 수위변동 자료)를 이용하여 지하수 대수층의 이방성을 확인하였고, 이를 통해 암반관정의 양수에 따른 간섭을 크게 받는 충적관정과 그렇치 않은 충적관정을 구분하여 이방성에 따른 지하수위 저하 한계치를 수정하고, 상습가뭄 발생지역의 암반관정과 충적관정의 최적 지하수 양수를 도모하였다.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.326-338
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• 2003

The objective of a neural network design and model selection is to construct an optimal network with a good generalization performance. However, training data include noises, and the number of training data is not sufficient, which results in the difference between the true probability distribution and the empirical one. The difference makes the teaming parameters to over-fit only to training data and to deviate from the true distribution of data, which is called the overfitting phenomenon. The overfilled neural network shows good approximations for the training data, but gives bad predictions to untrained new data. As the complexity of the neural network increases, this overfitting phenomenon also becomes more severe. In this paper, by taking statistical viewpoint, we proposed an integrative process for neural network design and model selection method in order to improve generalization performance. At first, by using the natural gradient learning with adaptive regularization, we try to obtain optimal parameters that are not overfilled to training data with fast convergence. By adopting the natural pruning to the obtained optimal parameters, we generate several candidates of network model with different sizes. Finally, we select an optimal model among candidate models based on the Bayesian Information Criteria. Through the computer simulation on benchmark problems, we confirm the generalization and structure optimization performance of the proposed integrative process of teaming and model selection.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.439 -447
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• 2023

This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.

• KIPS Transactions on Computer and Communication Systems
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• v.1 no.3
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• pp.143-150
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• 2012

A simulation methodology and corresponding program based on it is to be discussed for analyzing the effects of the networking operation of existing DHC system in connection with CHP system on-site. The practical simulation for arbitrary areas with various building compositions is carried out for the analysis of operational features in both systems, and the various aspects of thermal energy grids with connecting operation are highlighted through the detailed assessment of predicted results. The intrinsic operational features of CHP prime movers, gas engine, gas turbine etc., are effectively implemented by realizing the performance data, i.e. actual operation efficiency in the full and part loads range. For the sake of simplicity, a simple mathematical correlation model is proposed for simulating various aspects of change effectively on the existing DHC system side due to the connecting operation, instead of performing cycle simulations separately. The empirical correlations are developed using the hourly based annual operation data for a branch of the Korean District Heating Corporation (KDHC) and are implicit in relation between main operation parameters such as fuel consumption by use, heat and power production. In the simulation, a variety of system configurations are able to be considered according to any combination of the probable CHP prime-movers, absorption or turbo type cooling chillers of every kind and capacity. From the analysis of the thermal network operation simulations, it is found that the newly proposed methodology of mathematical correlation for modelling of the existing DHC system functions effectively in reflecting the operational variations due to thermal energy grids with connecting operation. The effects of intrinsic features of CHP prime-movers, e.g. the different ratio of heat and power production, various combinations of different types of chillers (i.e. absorption and turbo types) on the overall system operation are discussed in detail with the consideration of operation schemes and corresponding simulation algorithms.

• Journal of the Korean Institute of Gas
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• v.10 no.2 s.31
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• pp.7-13
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• 2006

In order to evaluate the fire and explosion involved and to ensure the safe and optimized operation of chemical processes, it is necessary to know combustion characteristics. The explosion limit, the heat of combustion, flame temperature and temperature dependence of the lower explosive limit are the major combustion characteristics used to determine the fire and explosion hazards of the flammable substances. The aim of this study is to investigate interrelationship of explosion characteristics and the temperature dependence of the lower explosion limit at elevated temperature for akylketones. By using the reference data, the empirical equations which describe the interrelationships of explosion properties of akylketones have been derived. Also, the new equations using the mathematical and statistical methods for predicting the temperature dependence of lower explosion limits of akylketones on the basis of the literature data are proposed. The values calculated by the proposed equations agreed with literature data within a few percent. From the given results, using the proposed methodology, it is possible to predict the explosion limits of the other flammable substances.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.881-887
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• 2011

In this paper, age exploration of ${\bigcirc}{\bigcirc}$ anti-ship missiles which were deployed on RoKN ships were analysed using parametric estimation method. Additionally, Life distribution and failure pattern of ${\bigcirc}{\bigcirc}$ anti-ship missile were analysed by using field data such as collected inspection, fail, maintenance record for 6 years. Storage failure and MTBF of missile and components were analysed by using reliability analysis s/w Weibull++ v7. The results were compared with maintenance policy including periodic inspection and MTBF which were analysed during development phase. Finally, the suggested methodology using field data analysis of oo anti-ship missile will be applied on re-estabilishment of maintenance policy of ${\bigcirc}{\bigcirc}$ anti-ship missile for TLCSM(Total Life Cost System Management) effectively.