• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1232-1245
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• 2021

In this study, prediction of product sales as they relate to changes in temperature is proposed. This model uses long short-term memory (LSTM), which has shown excellent performance for time series predictions. For verification of the proposed sales prediction model, the sales of short pants, flip-flop sandals, and winter outerwear are predicted based on changes in temperature and time series sales data for clothing products collected from 2015 to 2019 (a total of 1,865 days). The sales predictions using the proposed model show increases in the sale of shorts and flip-flops as the temperature rises (a pattern similar to actual sales), while the sale of winter outerwear increases as the temperature decreases.

• Management & Information Systems Review
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• v.4
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• pp.557-572
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• 2000

Nowadays, after beginning of 21 centuries, owing to simplify market, the world is in the era of an influx of new paradigm that requires infinite competition. The manufacturing industries of Korea are in need of casting off high cost and low efficiency structure. The forfeiture of competition is resulted from the lost of level in quality of product. Today, the achievement of competitive product quality is coming from the following factors, that is., quality control, quality of service, marketing, human resources, finance, etc., together with process management. While Six Sigma, a newly introduced method to achieve process qualify outcome by sector of enterprise, is now being enjoyed a high reputation as a key device for competition by superiority enterprises in the United States, it has not been introduced sufficiently in the domestic enterprises yet. In our research, we, first of all, organized systematically the materials being released up to now. Furthermore, we looked over case studies of the American enterprises that apply Six Sigma strategy very successfully. Finally, we discussed the situation of domestic enterprises which are about to importing Six Sigma strategy as well as main causation of success by adopting it. While the enterprises approach Six Sigma strategy not in the way of on time and short term but in the way of long term, consistent renovation and persistent innovation we can assure that they will produce the highest quality and globally competitive products which are second to none.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.522-541
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• 2016

Network virtualization provides an effective way to overcome the Internet ossification problem. As one of the main challenges in network virtualization, virtual network embedding refers to mapping multiple virtual networks onto a shared substrate network. However, existing heuristic embedding algorithms evaluate the embedding potential of the nodes simply by the product of different resource attributes, which would result in an unbalanced embedding. Furthermore, ignoring the hops of substrate paths that the virtual links would be mapped onto may restrict the ability of the substrate network to accept additional virtual network requests, and lead to low utilization rate of resource. In this paper, we introduce and extend five node attributes that quantify the embedding potential of the nodes from both the local and global views, and adopt the technique for order preference by similarity ideal solution (TOPSIS) to rank the nodes, aiming at balancing different node attributes to increase the utilization rate of resource. Moreover, we propose a novel two-stage virtual network embedding algorithm, which maps the virtual nodes onto the substrate nodes according to the node ranks, and adopts a shortest path-based algorithm to map the virtual links. Simulation results show that the new algorithm significantly increases the long-term average revenue, the long-term revenue to cost ratio and the acceptance ratio.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.2993-3010
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• 2021

The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1570-1581
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• 2002

The purpose of this study is to analyze the influence of attributes of salespersons working at apparel store on relationship with consumers, to gather information what kind of attributes of salespersons get preference to consumer, and to conclude a certain relationship in the result coming from both attributes of salespersons and degree of relationship quality. The questionnaire survey was carried out 571 20's & 30's men and women living around Seoul and Kyong-gi province areas during July in 200l. SAS and AMOS program were used to analyze gathered data. The results of this study were as follows. First, in the case of apparel product, construction and long-term maintenance of relationship with consumers were very essential to gain profit in the future. Second, attributes of salespersons seemed to play an important role on constructing and maintaining long-term relationship with consumers. Third, external attributes like outward appearance do not affect to degree of relationship quality with consumer. rather, internal attributes - expertise, similarity, customer orientation, ethics and likeability, influence on the degree of relationship quality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.585-590
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• 2016

The objective of this study was to develop an export determinant model for laver in the producing district. The annual and monthly amounts of laver products, local price, export price, and foreign exchange rate were included as explanatory variables. The estimation showed that the laver export is influenced more by the long term rather than short term product increase. In addition, as the foreign exchange rate and export price increase, the quantities exported decrease elastically. On the other hand, as the price in the local market increases, the quantities exported decrease non-elastically. Therefore, to enhance the laver exports, it is important to establish infrastructure for long term production increase, forecast and provide information on the export price and foreign exchange rate more accurately.

• Journal of Soil and Groundwater Environment
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• v.18 no.4
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• pp.40-49
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• 2013

In the beginning of $20^{th}$ century, the coal mining industry had an important role in Japan at which two-thirds of the coal product came from the Kitakyushu-Chikuho District (KCD). As a consequence of mining activities, land-use condition in this district showed notable changes. This paper presented a study of land-use changes in coal mining area by characterizing land-use pattern transition over the last 100 years. In order to carry out the rigorous analysis of land-use, a series of land-use maps over the last 100 years was developed using geographic information systems (GIS). The historic topographic map and another available old data were used to investigate the long-term changes of land-use associated with past mining within the GIS platform. The results showed that the utilization of a series of developed land-use maps successfully indicated the difference of land-use pattern in the KCD before and after the peak of mining activities. The general findings from land-use analysis described that forest and farm lands were lost and turned into abandoned sites in the last 100 years.

• International Commerce and Information Review
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• v.6 no.1
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• pp.267-284
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• 2004

The expansion of regionalism has resulted in the creation of blocs of the world economy, so that those countries not belonging to one or more blocs can discriminated. Though recently singed on the bill of FTA with Chile, Korea is actually alienated from major stream of the blocs. Therefore, Korea government makes efforts to contract more FTAs with countries such as Singapore and Japan. FTA is believed to be an important method to secure export and national competitiveness in the long term. Therefore, we need to exactly understand critical issues and the long-run effect of FTA. The paper tries to find out important issues and potential strategies relating to electronic commerce in Korea-Singapore and Korea-Japan FTA. According to the historical facts, economic effect of FTA depends a lot on the contents of the agreement. Therefore, additional intensive studies are required before contracting FTA in the future.

• Journal of radiological science and technology
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• v.43 no.5
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• pp.389-395
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• 2020

The evaluation of radioactivated components of heavy-ion accelerator facilities affects the safety of radiation management and the exposure dose for workers. and this is an important issue when predicting the disposal cost of waste during maintenance and dismantling of accelerator facilities. In this study, the FLUKA code was used to simulate the proton treatment device nozzle and classify the radio-nuclides and total radioactivity generated by each component over a short period of time. The source term was evaluated using NIST reference beam data, and the neutron flux generated for each component was calculated using the evaluated beam data. Radioactive isotopes caused by generated neutrons were compared and evaluated using nuclide information from the International Radiation Protection Association and the Korea Radioisotope association. Most of the nuclides produced form of beta rays and electron capture, and short-lived nuclides dominated. However, In the case of ⁵⁴Mn, which is a radioactive product of iron, the effect of gamma rays should be considered. In the case of tritium generated from a material with a low atomic number, it is considered that handling care should be taken due to its long half-life.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.61-66
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• 2020

Many SMEs are interested in entering the dementia industry as the national dementia responsibility system begins in earnest. However, it is ambiguous about which technology and field to enter, and accordingly, it is impossible to make a quick judgment and misses the time to enter the market. Therefore, the purpose of this study is to provide a simple but clear information to many SMEs in this situation, which products and related technologies will be able to help product development and market entry in the dementia prevention and diagnosis technology market more easily. In this regard, I would like to suggest the direction through hierarchical analysis (AHP) through conducting with a group of experts who can make professional judgments about the development of dementia medical technology, including the four-year university senior welfare department, nurses, directors and directors of long-term care institutions, medical device workers and experts' opinions on what sectors SMEs can most effectively apply to product development to enter the dementia market.