• Korean Journal of Community Nutrition
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• v.15 no.1
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• pp.83-93
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• 2010

The purpose of this study is to investigate consumer perception and importance of food tourism properties and performance of the properties in Sangju province of Gyeongsangbuk-do. The study has found that persons who have food tourism experiences (75 persons, 50.7%) had slightly more than not experience persons (72 persons, 48.6%). Additionally, most of the respondents were usually satisfied with the local foods. Also, it was found that food tourism had been taken 1-2 times per 6 months (48 persons, 64.0%) on average, and 135 persons (91.2%) had intention of experiencing food tourism. According to the result of Importance-Performance Analysis (IPA) on consumers' food tourism properties, high importance was on 'There are attractive landscapes.' ($4.52\;{\pm}\;0.56$), 'Accommodations with reasonable price.' ($4.18\;{\pm}\;0.80$), and 'The food of the area is famous.' ($4.15\;{\pm}\;0.73$); and the properties such as 'There are local specialty shops or markets selling local produce.' ($3.03\;{\pm}\;0.83$), 'The climate is temperate.' ($3.03\;{\pm}\;0.87$), and 'There are attractive landscapes.' ($3.02\;{\pm}\;0.98$) showed average performance. A factor analysis about consumers' importances to the food tourism properties shows that the factors were divided into four kinds and each of the factors were named as 'convenience-stable propensity', 'valued-oriented propensity', 'adventurous-aggressive propensity' and 'traditional-active propensity'. Variance ratios of each factor were 22.319%, 10.286%, 8.723% and 6.239%, respectively. According to the result of a reliability analysis, Cronbach's alpha value was 0.8621, implying that reliability of each item was very high. Therefore, it is considered that development of food tourism products and promotion strategies therefore should be designed based on the importance of food tourism properties hereafter.

• The Korean Journal of Applied Statistics
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• v.26 no.3
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• pp.441-452
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• 2013

This study analyzed the relationship between key film and a box office record success factors based on movies released in the first quarter of 2013 in Korea. An over-fitting problem can happen if there are too many explanatory variables inserted to regression model; in addition, there is a risk that the estimator is instable when there is multi-collinearity among the explanatory variables. For this reason, optimal variable selection based on high explanatory variables in box-office performance is of importance. Among the numerous ways to select variables, LASSO estimation applied by a generalized linear model has the smallest prediction error that can efficiently and quickly find variables with the highest explanatory power to box-office performance in order.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.4 no.1
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• pp.1-8
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• 2010

The combination of medical devices and IT convergence technology has made it possible to check health whenever and wherever people want. The recent development of various Ubiqutous Healthcare medical devices ensures the convenient measurements of health variations in daily lives and at home. However, considering that there is a growing prevalence of the devices and a great interest in the development of Ubiqutous Healthcare device, it is urgent to secure the stability and to establish performance evaluation. Therefore, it is needed to develop standard testing methods for the stability and the performance evaluation on before and after selling products. In this paper, I studied the standard testing method of both compulsory tests and performance evaluation which are for the electric stability evaluation on Ubiqutous Healthcare devices.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.67-75
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• 2023

Stock price prediction is an important topic extensively discussed in the financial market, but it is considered a challenging subject due to numerous factors that can influence it. In this research, performance was compared and analyzed by applying time series prediction models (LSTM, GRU) and non-time series prediction models (RF, SVR, KNN, LGBM) that do not take into account the temporal dependence of data into stock price prediction. In addition, various data such as stock price data, technical indicators, financial statements indicators, buy sell indicators, short selling, and foreign indicators were combined to find optimal predictors and analyze major factors affecting stock price prediction by industry. Through the hyperparameter optimization process, the process of improving the prediction performance for each algorithm was also conducted to analyze the factors affecting the performance. As a result of feature selection and hyperparameter optimization, it was found that the forecast accuracy of the time series prediction algorithm GRU and LSTM+GRU was the highest.

• Journal of the Ergonomics Society of Korea
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• v.20 no.1
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• pp.15-29
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• 2001

This study was conducted to develop a prototype of adjustable desk and chair for students from elementary to high school. The development process started with identifying the problems of existing adjustable desks and chairs that are currently available in the market. The following fundamental design criteria were established and then applied to develop the prototype. The criterion of minimization of production cost yielding lower the market selling price was the most critically considered in view of the school furniture buyers' price-consciousness. Other design criteria used in this development were designing for stable and solid structure, requiring few motions and no tools to adjust, requiring the use of only one hand to adjust, unrestricting the adjustable interval, providing extra space for foot and knee area, reducing weight to move easily, and requiring not to move around for cleaning up floor. To evaluate the performance of the prototype, the adjustability of prototype was specifically compared with both dimensions suggested by KS G 2010(Korean Standards for desks and chairs for students) and current anthropometric dimension in terms of the flexible range of accommodation. Results of this study illustrate that the prototype developed in this study could be accommodated for the both dimensions. As a concluding mark, appropriate adjustable range for various grades and age groups were presented.

• Journal of the Korean Home Economics Association
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• v.42 no.2
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• pp.117-131
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• 2004

The purpose of this study was to examine the current situation of B2B fashion buying behavior (i.e., buying motives, product characteristics, buying processes), and to analyze the buying performance, buying problems and buying strategies. In depth, face-to-face interviews with structured questionnaire were conducted with three buyers and three vendors related to 18 buying items of C Company. Results of this research were as following:1. Buying motives were mainly reduction of buying costs, improvement of profits, and increased efficiency in buying process for retail buyers, while the selling motive was mainly improvement of market share for suppliers. Suitable items for B2B buying were basic items or bulk items. The B2B buying process included the following steps: selecting auction items, target prices, and suppliers ; setting the product specification and bidding niles; training the suppliers for preparing the auction; proceeding the auction by internet. 2. The perceived B2B benefits for buyers were profit improvement and cost reduction while those for suppliers were time saving and market share improvement. The indicated buying problems were as poor product quality, low product image, and difficulty in partnership. For B2B buying strategies, a quality management system, various auction tactics based on items, and a supplier management system were recommended.

• The Journal of Society for e-Business Studies
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• v.7 no.2
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• pp.55-68
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• 2002

Internet group buying systems have been widely used recently. In those systems, because the reserve price is provided by the buyer, the success rate can be decreased if the reserve price is set too low compared with the normal price. Otherwise, an unsuitable successful bid can be made if the reserve price is set too high based on inaccurate information. Likewise, the seller's providing too high a bid price can deteriorate his/her own successful bid rate, whereas a successful bid with too low a price may make no profit in the sale. Therefore, pricing agents that recommend adequate prices based on the past buying and selling history data can be helpful. In this paper, we propose two kinds of agents. One suggests reserve prices to buyers based on the past buying history database of the system. The other recommends bid prices to a seller based on the past bidding history data of the company using the cost accounting theory. Through performance experiments, we show that the successful bid rate can increase by preventing buyers from making unreasonable reserve prices. Also, we show that, for the seller, the rate of successful bids with appropriate profits can increase. Using the pricing agents, we design and implement an XML-based group buying system.

• Korean Journal of Agricultural Science
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• v.19 no.2
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• pp.269-272
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• 1992

A new single glutinous maize hybrid "Huin Chal 1" was developed at the Genetics and Breeding Lab., Dept. of Agron., College of Agriculture, Chungnam National University. Parents for the hybrid were all derived from Korean indigenous maize lines which were collected in 1980s. One of the parental inbred lines was originated from Bosung, Chonnam province and other inbred line was from Jewon, Chungbuk province. Both inbreds were developed by ear-to-row selection method through selling and named as Bosung and Jewon, respectively. Performace tests for the hybrid which was produced between Bosung and Jewon have been conducted five times including one test at Crop Experiment Station, Rural Development Administration. From the previous performance tests, the hybrid was recognized as high yielding hybrid with good agronomic characteristics and we named the hybrid as Huin Chal 1., and hereby we report the agronomic characters of the newly developed hybrid.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.169-176
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• 2009

Rule discovery is an operation that discovers patterns frequently occurring in a given database. Rule discovery makes it possible to find useful rules from a stock database, thereby recommending buying or selling times to stock investors. In this paper, we discuss storage structures for efficient processing of queries in a system that recommends stock investments. First, we propose five storage structures for efficient recommending of stock investments. Next, we discuss their characteristics, advantages, and disadvantages. Then, we verify their performances by extensive experiments with real-life stock data. The results show that the histogram-based structure improves the query performance of the previous one up to about 170 times.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.219-229
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• 2022

This study aims to analyze the economies of scale of the cottage industry for coconut sugar production in Banyumas, Indonesia. This study applies a survey method to coconut sugar craftsmen. Data analysis was performed by regression analysis based on the Cobb-Douglas production function approach. The findings indicated that decreasing returns to scale was a problem for the domestic production of coconut sugar. These findings show that the production of coconut sugar is not very productive. Labor and financial capital inputs have a significant positive share but the resulting increase in output is less proportional than the increase in the two inputs. Social capital, experience, and education do not affect industrial performance. To increase input productivity and production efficiency, it is necessary to apply more effective production techniques and technologies to produce quality products so that the selling price can be higher. Additionally, it is required to enhance the sap's quality through its extraction methods and the regrowth of high-yielding coconut tree varieties. From the institutional aspect, the development of this industry requires stronger partnerships with related parties such as local governments, exporting companies, cooperatives, and universities through research and development.