• IE interfaces
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• v.24 no.3
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• pp.258-266
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• 2011

In this paper, we deal with a problem improving the productivity of a discrete production line for filling a printer cartridge with toner. We develop a new technology for controlling the weight of toner which must be filled in a cartridge and reform the current line based on our new control technology to result in more than 35% improvement of productivity as well as the control accuracy. In detail, first, we find a bottleneck process, the toner-filling process which gives the current production cycle times. Second, we divide the processing time of the bottleneck into several work elements and find the rotation time of an AC servomotor to be further reduced. Third, in order to reduce the rotation time, we develop a mathematical control-time model for determining the rotation time. Finally, we reform the current line partially as required by the change of the new control method.

• Journal of the Korea Furniture Society
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• v.17 no.3
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• pp.57-68
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• 2006

Most of all furniture had been produced from wood, because it is easy to obtain from our surroundings. As time goes by people want to decorate their house with new material furniture. Because it is outcome from development of material technology & industrialization. Furniture design trends of twenty century are not only the fruits of great talented furniture artists but also high-tech material engineers. In this study, I deal with a tubular steel, as an one of the most important material of furniture, and also tubular steel furniture manufactured by a cantilever method. This study researches what are special features of it, how can designers utilize it to furniture and how do they conquest defects of the material such as a sensation of coldness, hardness and so on. In this context, It is possible that create not only new shape of furniture but also new style of space through new technology innovation.

• Journal of Distribution Science
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• v.18 no.11
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• pp.41-45
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• 2020

Purpose: This article aims to explore the new town development paradigm against infectious diseases. The distribution of COVID-19 constricts economic activity. The high frequency of outbreaks of COVID-19 nationwide is due to neither malnutrition nor unhygienic environment. Research design, data and methodology: The research question starts with the idea that understanding the features of the outbreak of pandemic diseases could help public health authorities to better cope with upcoming risks in the future. We have employed a big data-based methodology to explore the outbreak of pandemic diseases. Also, an idiographic approach is used to describe the distribution of new towns against COVID-19. Results: The results demonstrate that the rapid spread of COVID-19 has had a strong impact on regional economies and urban development. It was found that there is a close relationship between infectious diseases outbreaks and new town development. Conclusions: The findings could be used to deal with new town development against infectious diseases better in other cities or countries as well. The distribution of COVID-19 may become an unexpected opportunity for a paradigm shift in the distribution of new town development to prevent not only an excessive concentration in Seoul, but also an imbalance between national and local development.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.76-84
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• 2009

Since too much information has been generated, it became very difficult to find out valuable and necessary information. In order to deal with the problem of information overload, the taxonomy for information visualization techniques has been based upon visualized shapes such as tree map, fisheye view and parallel coordinates, so that it was difficult to choose the right representation technique by data characteristics. Therefore, this study was designed to introduce a new taxonomy for the information visualization by data characteristics which defined by space (3D vs. multi-dimensions), time (continuous vs. discrete), and relations of data (qualitative vs. quantitative). To verify the new taxonomy, forensic data which were generated to investigate the culprit of network security was used. The result showed that the new taxonomy was found to be very efficient and effective to choose the right visualized shape for forensic data for network security. In conclusion, the new taxonomy was proven to be very helpful to choose the right information visualization technique by data characteristics.

• Journal of Integrative Natural Science
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• v.13 no.1
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• pp.34-40
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• 2020

This study aims to create a model for predicting the number of extinguishment manpower to put out forest fires by taking into account the climate, the situation, and the extent of the damage at the time of the forest fires. Past research has been approached to determine the cause of the forest fire or to predict the occurrence of a forest fire. How to deal with forest fires is also a very important part of how to deal with them, so predicting the number of extinguishment manpower is important. Therefore predicting the number of extinguishment manpower that have been put into the forest fire is something that can be presented as a new perspective. This study presents a model for predicting the number of extinguishment manpower inputs considering the scale of the damage with forest fire on a scale bigger than 0.1 ha as data based on the forest fire annual report(Korea Forest Service; KFS) from 2015 to 2018 using the moderated multiple regression analysis. As a result, weather factors and extinguished time considering the damage show that affect forest fire extinguishment manpower.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.483-487
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• 2005

We introduce a new architecture of hetero-hybridized feed-forward neural networks composed of fuzzy set-based polynomial neural networks (FSPNN) and polynomial neural networks (PM) that are based on a genetically optimized multi-layer perceptron and develop their comprehensive design methodology involving mechanisms of genetic optimization and Information Granulation. The construction of Information Granulation based HFSPNN (IG-HFSPNN) exploits fundamental technologies of Computational Intelligence(Cl), namely fuzzy sets, neural networks, and genetic algorithms(GAs) and Information Granulation. The architecture of the resulting genetically optimized Information Granulation based HFSPNN (namely IG-gHFSPNN) results from a synergistic usage of the hybrid system generated by combining new fuzzy set based polynomial neurons (FPNs)-based Fuzzy Neural Networks(PM) with polynomial neurons (PNs)-based Polynomial Neural Networks(PM). The design of the conventional genetically optimized HFPNN exploits the extended Group Method of Data Handling(GMDH) with some essential parameters of the network being tuned by using Genetie Algorithms throughout the overall development process. However, the new proposed IG-HFSPNN adopts a new method called as Information Granulation to deal with Information Granules which are included in the real system, and a new type of fuzzy polynomial neuron called as fuzzy set based polynomial neuron. The performance of the IG-gHFPNN is quantified through experimentation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.579-584
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• 1998

In this work, we present a method to deal with the interval valued decision making systems. First, we propose a new type of equality measure based on the Ordered Weighted Averaging (OWA) operator. The proposed equality measure has a structure to render the extreme values of the measure by choosing a suitable weighting vector of the OWA operator. From this property, we derive a bidirectional fuzzy inference network which can be applied for the decisionmaking systems requiring the inverval valued decisions.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.11 no.sup2
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• pp.72-79
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• 2008

The incidence of inflammatory bowel disease is increasing rapidly in Korea and one quarter of the new patients present in childhood. Crohn's disease and ulcerative colitis are incurable conditions associated with significant morbidity, therefore the focus of treatment in children should be to reduce or eliminate symptoms, optimize nutritional status and growth, prevent complications. This review will deal with the evidence supporting the treatments currently used in children with inflammatory bowel disease.

• Korean Journal of Bronchoesophagology
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• v.16 no.1
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• pp.16-19
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• 2010

NOTES (Natural orifice transluminal endoscopic surgery) is a new technique in minimally invasive procedure, surgeon use normal orifice and hollow viscus for procedurs as approaching route, Currently the NOTES are performed for diagnostic and therapeutic purpose by some investigators in research setting. NOTES has potential benefit in terms of sear, pain, post op recovery. Rut Bacterial contamination, deal with major complication are needed more stud) and development.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.3
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• pp.326-331
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• 2006

A great deal of research has been made to model the vagueness and uncertainty in information retrieval. One such research is fuzzy ranking models, which have been showing their superior performance in handling the uncertainty involved in the retrieval process. In this study we develop a new fuzzy ranking model based on the user preference. Through the experiments on the TREC-2 collection of Wall Street Journal documents, we show that the proposed method outperforms the conventional fuzzy ranking models.