• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.167-182
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• 2013

The purposes of this study were to identify dimensions of shopping orientation and preferences of fashion trade areas, to test differences in the preference factors and usage levels of fashion trade areas as determined by shopping orientation and demographic characteristics. Questionnaires were administered to 406 adults in their twenties and thirties visited major fashion trade area in Seoul. The results of the study were as follows. First, five groups were identified based on shopping orientation: combined value-oriented group, convenience-oriented group, hedonic value trend-oriented group, economic-value oriented group and brand-oriented group. Second, the most frequently visited trade area was Myungdong, and there were significant differences in the usage levels of the trade areas except Dongdaemun, Samsung station COEX, Jamsil and Gangnam Express Bus Terminal among the groups determined by shopping orientation. Sinsa Garosoogil, Apgujeong Chungdam and Samsung Station COEX were preferred by hedonic value trend-oriented group. Daehakro and Myungdong were preferred by combined value-oriented group and convenience-oriented group. Third, significant differences were also found in all groups in the preference factors of the trade area as determined by shopping orientation groups when purchasing clothing. Forth, female preferred Gangnam Express Bus Station and Jamsil than male did. Those who in their early twenties preferred Daehakro and Myungdong the most and those who in early thirties and late twenties concerned service policy the most. The results imply that the consumers tend to visit the nearest fashion trade area by their residence(or work, school) and consider the location and accessibility of the trade area as the most important factor.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.84-94
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• 2018

In recent years, the diminishing of operation and maintenance cost using advanced maintenance technology is attracting many companies' attention. Especially, the heavy machinery industry regards it as a crucial problem since a failure of heavy machinery requires high cost and long downtime. To improve the current maintenance process, the heavy machinery industry tries to develop a methodology to predict failure in advance and to find its causes using usage data. A better analysis of failure causes requires more data so that various kinds of sensor are attached to machines and abundant amount of product usage data is collected through the sensor network. However, the systemic analysis of the collected product usage data is still in its infant stage. Many previous works have focused on failure occurrence as statistical data for reliability analysis. There have been less works to apply product usage data into root cause analysis of product failure. The product usage data collected while failures occur should be considered failure cause analysis. To do this, this study proposes a methodology to apply product usage data into failure cause analysis. The proposed methodology in this study is composed of several steps to transform product usage into failure causes. Various statistical analysis combined with product usage data such as multinomial logistic regression, T-test, and so on are used for the root cause analysis. The proposed methodology is applied to field data coming from operated locomotive and the analysis result shows its effectiveness.

• Proceedings of the KSPS conference
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• 2003.05a
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• pp.219-222
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• 2003

In this paper, we study the usage of phoneme duration information for rejection garbage sentence. First, we build a phoneme duration modeling in a speech recognition system based on dicicion tree state tying, We assume that phone duration has a Gamma distribution. Next, we build a verification module in which word-level confidence measure is used. Finally, we make a comparative study on phoneme duration with speech DB obtained from the live system. This DB consistes of OOT(out-of-task) and ING(in-grammar) utterences. the usage of phone duration information yields that OOT recognition rate is improved by 46％ and that another 8.4％ error rate is reduced when combined with utterence verification module.

• 한국벤처창업학회:학술대회논문집
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• 2021.11a
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• pp.113-117
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• 2021

Due to the recent COVID-19 pandemic, SMEs are forced to converge themselves into online business to cope with the rapidly changing business environment. However, due to various difficulties of becoming an online business, most SMEs choose to use services provided by the online sales platform. These platforms offer valuable support such as DSS in return for the high amount of commission fee. We analyze a novel data set from Naver Corporation's 'Smart Store' platform with the quasi-experimental method (propensity score matching technique combined with the difference in differences analysis) to analyze DSS usage and SME's performance empirically. Our results suggest that DSS usage leads to an increase in SME's sales performance in means of sales frequency and sales amount. Additionally, we have found weak support that DSS usage enables SMEs to attract customers better than those not using DSS.

• Smart Media Journal
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• v.13 no.1
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• pp.18-23
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• 2024

Power efficiency management in smart farms is important due to its link to climate change. As climate change negatively impacts agriculture, future agriculture is expected to utilize smart farms to minimize climate impacts, but smart farms' power consumption may exacerbate the climate crisis due to the current electricity production system. Therefore, it is essential to efficiently manage and optimize the power usage of smart farms. In this study, we propose a system that monitors the power usage of smart farm equipment in real time and predicts the power usage one hour later using GRU. CT sensors are installed to collect power usage data, which are analyzed to detect and prevent abnormal patterns, and combined with IoT technology to efficiently manage and monitor the overall power usage. This helps to optimize power usage, improve energy efficiency, and reduce carbon emissions. The system is expected to improve not only the energy management of smart farms, but also the overall efficiency of energy use.

• Transactions of the Korean hydrogen and new energy society
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• v.30 no.2
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• pp.155-162
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• 2019

The energy management technology for an independent fuel cell-battery hybrid system is developed for a household usage. To develop an efficient energy management technology, a simulation model is first developed. After the model is verified with experimental results, three energy management schemes are developed. Three control techniques are a fuzzy logic control (FLC), a state machine control (SMC), and a hybrid method of FLC and SMC. As the fuel cell-battery hybrid system is used for a house, battery state of charge (SOC) regulation is the most important factor for an energy management because SOC should be kept constant every day for continuous usage. Three management schemes are compared to see SOC, power split, and fuel cell power variations effects. Experimental results are also presented and the most favorable strategy is the state machine combined fuzzy control method.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.233-234
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• 1998

The purpose of this paper is the evaluation of a permeability and blood compatibility for silicone/polypropylene combined membrane. Despite the overall good performances of polypropylene membrane, its long-lasting usage for artificial lung has been limited by serum leakage. In order to overcome this problem, we have newly fabricated polydimethylsiloxane(silicone)/polypropylene combined membrane(SPCM). SPCM has been proved to be serum leakage free in hours experimental. It has shown good long-lasting gas transfer and durability features.

• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.113-119
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• 2008

The World Wide Web is a dynamic collection of pages that includes a huge number of hyperlinks and huge volumes of usage informations. The resulting growth in online information combined with the almost unstructured web data necessitates the development of powerful web data mining tools. Recently, a number of approaches have been developed for dealing with specific aspects of web usage mining for the purpose of automatically discovering user profiles. We analyze sequence data, such as web-logs, protein sequences, and retail transactions. In our approach, we propose the clustering algorithm for sequence data using rough set theory. We present a simple example and experimental results using a splice dataset and synthetic datasets.

• Journal of Korean Foot and Ankle Society
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• v.23 no.4
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• pp.196-200
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• 2019

Symmetrical Digital Gangrene (SDG) is characterized by the sudden onset of peripheral, symmetrical gangrene in the absence of any major vascular occlusive disease. Catecholamine inotropes are frequently used for the treatment of septic shock combined with an unstable hemodynamic state, and their usage can rarely induce SDG. There is no standard treatment for the SDG. Early recognition and prompt management of sepsis and expeditious process of weaning off of the inotropes are necessary to prevent progression of SDG. To the best of our knowledge, this is the first report in Korea regarding the treatment of SDG induced by catecholamine inotropes.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.689-692
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• 2020

People have studied English using online English dictionaries when they looked for the meaning of English words or the example sentences. These days, as the AI technologies such as machine learning have been developing, documents can be translated in real time with Kakao, Papago, Google translators and so on. But, there has still been some problems with the accuracy of translation. The AI secretaries can be used for real-time interpreting, so this kind of systems are being used to translate such the web pages, papers into Korean. In this paper, we researched on the usage frequency of the combined English phrases from dictionaries by analyzing the number of the searched results on Google. With the result of this paper, we expect to help the people to use more English fluently.