• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.193-196
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• 2005

The value of all goods and services produced in the economy divided by population has risen from $7.355 in 1998 to $12.646 in 2003. In other to maintain higher standard of lifestyle, people are 'hungry' for time. The idea of saving time and money by providing many different types of products altogether in one space was implemented with the advent of large warehouse style discount stores. These type of retailers grew in size and popularity during the 1990s and 2000s, causing a decline in sales in the old, traditional downtown markets. From ancient to twenty-first century, the role of the grocery store has been that of the social center of the community; a place of unity and interaction of people. The experience a customer engages in at a grocery store is comparable to that of a museum. Not only is the grocery store a unique, physical space to visit, but also a rich collection of fascination items. The layout of the interior space is meticulously planned for the efficiency of customer circulation and the success of product exhibition. Eye catching graphics and attractive lighting also add to the appeal of the grocery store's high style. Shoppers are no longer satisfied with just buying good products at a lower price. Shoppers prefer to spend time in an entertaining environment. The Hanaro Mart project in this study propose the idea of warehouse style discount stores which can satisfy all the demands of customers and their various activities. This study will open up unique dimensions of aesthetic expression and experience in the interior environments. Shopping for food is an unavoidable task. If food shopping is enjoyable, more people will spend more time at it.

• Smart Media Journal
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• v.10 no.1
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• pp.116-123
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• 2021

Due to the rapid growth of the online fashion market and the resulting expansion of online choices, there is a problem that the seller cannot directly respond to a large number of consumers individually, although consumers are increasingly demanding for more personalized recommendation services. Images are being tagged as a way to meet consumer's personalization needs, but when people tagging, tagging is very subjective for each person, and artificial intelligence tagging has very limited words and does not meet the needs of users. To solve this problem, we designed an algorithm that recognizes the shape, attribute, and emotional information of the product included in the image with AI, and codes this information to represent all the information that the image has with a combination of codes. Through this algorithm, it became possible by acquiring a variety of information possessed by the image in real time, such as the sensibility of the fashion image and the TPO information expressed by the fashion image, which was not possible until now. Based on this information, it is possible to go beyond the stage of analyzing the tastes of consumers and make hyper-personalized clothing recommendations that combine the tastes of consumers with information about trends and TPOs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.277-280
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• 2021

Recently as various contents are mass produced based on high accessibility, the media contents market is more active. Users want to find content that suits their taste, and each platform is competing for personalized recommendations for content. For an efficient recommendation system, high-quality metadata is required. Existing platforms take a method in which the user directly inputs the metadata of an image. This will waste time and money processing large amounts of data. In this paper, for media hyperpersonalization recommendation, keyframes are extracted based on the YCrCb color model of the video based on movie trailers, movie genres are distinguished through supervised learning of artificial intelligence and In the future, we would like to propose a utilization plan for generating metadata.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.23-23
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• 2022

Recently, soybean production and market price are unstable, even if demand of soybean is maintained. Diverse conditions such as climate change, a decrease in rural population, and consuming affect food industry. In this situation, food security is soaring as important key-word again, and MAFRA is promoting policies for improving soybean self-sufficiency with the goal of 40% until 2030. The point of policy is to extend a production and stabilize a demand for soybean with supporting large-scale soybean paddy-field complex. According to the background, soybean breeding and production research in NICS are proceeded with three parts. First, production improvement with soybean cultivation land enlargement and high-yield cultivar development. Various growth period soybean cultivars for double cropping, irrigation management technologies in paddy field, and hyper-yield and specific-region adaptable cultivar development. Second, reduction of production expense with mechanized cultivation and digital-based field management technologies. Third, consumer-friendly and high quality soybeans with high protein cultivar for alternative protein usage and high food process-ability for soy milk, tofu, soybean sprouts, and grain usage. Each part need to be combined and advanced to improve soybean industry and soybean self-sufficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.99-112
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• 2014

This paper addresses an assessment model for selecting PL(Private Level) product companies. The proposed model extracts the weights of evaluation elements based on AHP(Analytic Hierarchy Process). These evaluation elements are from real-world instances in a domestic hyper market. Especially, the model points at food products which constitute a large portion of entire profits in the market. In this model, we first classify the 54 evaluation elements into 4 layers and secondly carry out a survey with relevant specialists based on them. We also estimate the weights of evaluation elements according to pairwise comparisons from the survey, and propose them as a quantitative alternative which can be applied in real-world problems. Finally, the pilot-study is conducted to compare the proposed model with the existing simple summation method. From this study, HACCP system assessment and Review(0.279281), Transportation(0.117706) and Fundamental law observance(0.066392) are presented as the key evaluation elements for selecting PL product companies. The proposed model facilitates the company selection among those candidate companies which is not easy to determine the superiority by reflecting the importance of evaluation elements.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.99-105
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• 2017

With the advancement of Information and Communication Technology (ICT), the wearable-device industry is growing at a rapid pace in line with the hyper-connected society of people-to-things and things-to-things network connections. International Data Corporation (IDC), a market research institute, estimates that the wearable-device industry will grow rapidly by 2020, despite not yet attracting a popular response. This study investigates the trend of the wearable-device industry and draws implications for product and service development through user experience analysis. The subject of analysis was smart bands and the data generated from product review were collected and analyzed. As a result, user experience could extract utility, usability, aesthetics, value, and reliability, and polarity was analysed and visualized in the extracted data. The study results reveal that current wearable-devices are expensive, that users cannot receive useful information from the long-term viewpoint since the analysis of accumulated data remains focused on functional development, and that they are recognized as a fashion item or an accessory. These factors hinder the continuous usage, motivation and market spread of the product. In a future follow-up study, we will conduct a comparative study on bands and watches by analyzing the second smart watch.

• Korean Journal of Poultry Science
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• v.8 no.2
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• pp.77-89
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• 1981

The experimental study was undertaken to confirm the effect of vaccination of birds with Newcastle disease (ND) vaccines on the Market by use of th. various vaccination programs. Sixteen groups of birds varying from 2 to f days of age, which were originated from hyper-immunised hens against ND were immunised by three different ways, a live vaccine only, a killed vaccine only, and the combination of a live and killed vaccine according to the each schedule of employed programs. In the administration of a live vaccine only, birds were immunized by one of following methods, the combination of intranasal and intraocular inoculation, intramuscular inoculation, via drinking water and the double inoculation by spray and drinking water application. Except for the double application, all the birds were vaccinated 2,3 or 4 times with two volumes of the virus dose (drinking water application) instructed by the commercial vaccine laboratory, until 21, 28 or 30 days of age, and all the immunized birds 19, 21 or 28 days postvaccination were challenged intramuscularly with 1.0$m\ell$ of 10,000 MLD per $m\ell$ of a virulent ND virus. In the administration of the combination of a live and killed vaccine, birds were immunized 2 or 3 times intranasally at first until 14 or 28 days of age with the same dose of the above experiment of a live vaccine, and then inoculated intramuscularly 1 or 2 times until 60 days of age with 1.0 $m\ell$ of a killed vaccine. And all immunized birds 11 days postvaccination were challenged with the same procedure of the above experiment. In the administration of a killed vaccine only, birds were immunized 3 times intramuscularly until 28 days of age with varied dose (0.2-0.5 $m\ell$) of a killed vaccine and all immunized birds 33 days postvaccination were challenged with the same procedure of the above experiment. The results obtained are summerised as follows: All birds vaccinated by using the combination of a live and killed vaccine program or a killed vaccin only appeared to be refractory. without any sign of illness, to the challenge exposure with 1.0$m\ell$ of 10,000 MLD per $m\ell$ of a virulent ND virus. On the other hand, the survival rates of birds of live vaccine groups immunized by a number of vaccine program such as Salsbury's day old program, 3-3-3 program, the Institute of Veterinary Reserch program and Multiple inoculation program, were 39.58%, 43.7%, 43.75% and 47.80%, respectively. And the survival rates of birds vaccinated with a live vaccine by 4 different ways of administration, i.e., double inoculation by water and aerosol application, intramuscular injection, intranasal instillation and via 4.inking water were 87.50%, 64.06%, 42.18% and 25.00%, respectively.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.89-100
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• 2017

Since smart devices are able to efficiently provide information without barriers of time and location, they are widely utilized with advent of the hyper-connected society. Especially, the smart devices have been developed in the form of wearable devices for mutual interaction between human and objects. Smart clothing, which embeds smart devices within clothes, measures and obtains a variety of bio-signals as it is in close contact with the human bodies. Conventional smart clothing generated wearers' discomfort because they were developed by simple attachment of electronic devices to clothes. Therefore, it is highly recommended to develop novel smart clothing based on smart textiles which integrate electronic devices as parts of textiles. As smart watches are currently the most available wearable devices in the market, smart watch users were selected in this study, for the purpose of investigating core needs of wearable smart device users based on the user experience and user's sensibility. Qualitative research was performed through semi-structured interview in order to obtain detailed answers about user sensibility based on smart watch user experience. After the in-depth interview, the user's sensibility was categorized into four aspects; functional, aesthetic, social, and empirical. Sensibility adjectives and key words were assigned to each aspect and their frequency was analyzed. It was the functional aspect of sensibility that the wearable device users require the most. The results of this study will be utilized as a fundamental data to develop the smart textiles required for the next generation of smart clothing which is attracting as a future wearable device.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.5
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.25-58
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• 2021

This study investigated the corporate growth with more emphasis on longitudinal characteristics, not the results of companies with relatively more emphasis on cross-sectional, in the 21st-century entrepreneurial context. As of the end of 2019, sampled 479 global unicorn companies, and 333 high-growth companies with revenue of more than $100 million among 5,000 private companies in the U.S. with a compound annual growth rate (CAGR) exceeding 15% for the past three years. They were examined with 3 perspectives in terms of corporate growth that 1) the growth of enterprise value, 2) the pace of growth, and 3) the effectiveness of growth. As a result of our study, the corporate growth of the perspective of creating enterprise value had a relatively higher relationship with the characteristics of industries and markets. The pace of growth was more fully explained by the characteristics of the industry and the market environment and the choice of strategies that make up a valid combination. In addition, growth in terms of the effectiveness of corporate performance was influenced by the choice of strategy, the characteristics of the industry and market environment, and its business age, the proxy variable of resource accumulation, comprehensively. This study through a sample based on companies with an enterprise value of more than $1 billion and annual revenue of more than $100 million can be a valid reference in terms of creating milestones and roadmaps for scale-up of early-stage startups, particularly in terms of practitioners' point of view. It also provides a critical reference for overcoming the limitations of mainstream theories of the 20th century and developing the theory of corporate growth that fits the 21st-century entrepreneurial context.