• Korean Journal of Soil Science and Fertilizer
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• v.26 no.2
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• pp.93-102
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• 1993

Carbonized rice hull, neutralized by dilute nitric acid, was evaluated possibility as a bed matrial for sanitary cultivation. The growth response of Chinese Cabbage, lettuce, and spinach on the carbonized rice hull supplemented with different kinds and concentrations of available nutrition solution was accessed. The ideal nitrogen concentration of nutrition solution was 126 mg/l. Both solutions of compound fertilizer and nutrition containing microelements showed no difference in growth and chemical components of vegetables. Therefore, compound fertilizer was thought to be better than nutrition owing to the convenience of handling in practice. The gravel was also evaluated as supporting material of carbonized rice hull. Because of lasting latent heat in gravel, the mixing treatment of carbonized rice hull and gravel(7~10cm in diam.) was efficient to the growth resulting in the highest dry weight per plant, but the heavy weight of gravel made the handling very difficult. Light carbonized rice hull showed the better plant growth and ease handling, compared to the mixture of soil and compost, and had enough supporting capacity. Therefore, carbonized rice hull was thought to be a desirable bed material for environmentally controlled cultivation.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.7
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• pp.1056-1063
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• 2010

The purpose of this study is to investigate current nutrition labeling status, levels of recognition and patterns of consumption of domestically processed meat products. The survey results show that 47.4% of products (81 out of 171) were labeled with nutrition information. Where general product labeling and nutrition labeling were provided, it was read by 84.9% and 66.8% of the survey subjects, respectively. The most common reasons for not reading product labeling were 'hard to understand it' (46.2%) and 'not concerned' (30.8%). This was attributed to respondents finding it 'useless' (39.3%) and 'hard to understand the nutrition contents' (32.8%). As for the positive effect of enforcing a nutrition labeling system, 62% of respondents affirmed 'ease of selecting products which are good for health'. The reading of general product labeling showed a significant positive correlation (p<0.01) with the reading of nutrition labeling. The amount the nutrition labeling was read showed a negative correlation (p<0.05) with comprehension of the information on the nutrition labeling contained. Therefore, providing more information on the nutrition labeling for the consumers of processed meat products and also educating them more comprehensively about the nutrition, which would ultimately help them improve their dietary life, is needed.

• Journal of Animal Science and Technology
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• v.47 no.6
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• pp.985-1000
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• 2005

In vitro anaerobic incubations of timothy (Phleum pretense L.) forage with bovine rumen fluid were conducted at 39℃ for 0, 3, 6, 9, 24, and 36 h in three trials to examine the biohy- drogenation of linolenic (C18:3) and linoleic acids (C18:2) and their bypass from the rumen. The objectives of the first trial was to study the effect of growth stage (stem elongation, early heading, late heading, and early flowering) and N-fertilization (0 and 120 kg N ha－1) on in vitro biohydrogenation of C18:2 and C18:3. The hydrogenable fraction, the effective disappearance and the bypass of C18:2 and C18:3 were high in timothy harvested at stem elongation, and decr- ease linearly with maturity. The N-fertilization increased the hydrogenable fraction of C18:3, the effective disappearance and the bypass of C18:2 and C18:3. However, the rate of disappearance of C18:2 and C18:3 were not affected by maturity and N-fertilization (P>0.1). In trial 2, the effect of timothy conservation method on in vitro C18:2 and C18:3 biohydrogenation was determined. Silage had the highest effective disappearance of C18:2 and C18:3, and grass hay had lowest one. The amounts of C18:2 and C18:3 biohydrogenated were higher in haylage and silage than in grass hay. Comparative to haylage timothy, the bypass of C18:3 was higher in fresh grass, wilted grass and grass hay. The bypass of C18:2 was higher in fresh grass and silage in comparison to grass hay and haylage. In trial 3, the effects of formic acid and Lactobacillus plantarum inoculum addition to timothy haylage and silage on C18:2 and C18:3 disappearance and bypass were studied. Haylage and silage additives had no effect (P>0.1) on effective disappearance and bypass of C18:2 and C18:3. The addition of formic acid increased the rate of biohydrogenation of C18:3 in haylage and silage, but it decreased the hydrogenable fraction of C18:2 in silage. The results of these three incubation trials show that the hydrogenable fraction and the bypass of C18:2 and C18:3 in timothy decreased with maturity and increased with N-fertilization. Higher amount of C18:2 and C18:3 were biohydrogenated in haylage and silage than in grass hay, and C18:3 ruminal disappearance was higher in fresh grass, wilted grass and grass hay than in haylage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.115-127
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• 2014

The national Entrepreneurial policy of Start-up assists the young and college students to be raised as entrepreneur in various ways seeking solution for serious unemployment problem. Many young generation start-up a business without prior knowledge and experience in management that end up as a case of failure rather than success. Many young pre-entrepreneur are afraid of Start-up and hesitate or give up before start. Now many Entrepreneurship education contents and Entrepreneurship mentoring programs are being provided for pre-entrepreneur. Especially, Entrepreneurship mentoring programs's importance to ease off these fear and anxiety is recognized and Mentoring program's part and contents are being enhanced in Entrepreneurship education content. In this study, the influence of Entrepreneurship mentoring program to young and brilliant entrepreneur who wants to start a business will be explained. The function of Entrepreneurship mentoring to improvement of entrepreneurial capability will be anaylzed and by using the function of Entrepreneurship mentoring and entrepreneurial capability, the moderating effect of start-up preliminary period and start-up aim period is examined. The results of as regression analysis, the study found out the function of Entrepreneurship mentoring has a positive significant influence with entrepreneurial capability which means technological competence and creativity competence. For the moderating effect of start-up preliminary period and start-up aim period, it is found out that the effect does not have a significant influence on the function of Entrepreneurship mentoring and also technological competence, but on creativity competence, significant influence was found. However, after looking at the moderating effect that is considered to be related to entrepreneurial capability, for the function of mentoring only the effect on start-up preliminary period.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.3
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• pp.95-105
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• 2013

This study on circular identifying purposes was performed of Youngbeokji space located in Seongnagwon(Scenic Sites No.35). Through the data acquisition of 3D high precision, such as the surrounding terrain of the Youngbeokji. The results of this study is summarized like the following. First, the purpose of the stone structures and structure within the Youngbeokji search is an important clue to find that earlier era will be a prototype. 3D scan method of enforcement is searching the whole structure, including the surrounding terrain and having the easy way. Second, the measurement results are as follows. Department of bedrock surveyed from South to North was measured by 7,665mm. From East to West was measured at 7,326mm. The size of the stone structures, $1,665mm{\times}1,721mm$ in the form of a square. Its interior has a diameter of 1, 664mm of hemispherical form. In the lower portion of the rock masses in the South to the North, has fallen out of the $1,006mm{\times}328mm$ scale traces were discovered. Third, the Youngbeokji recorded in the internal terrain Multiresolution approach. After working with the scanner and scan using the scan data, broadband, to merge. Polygon Data conversion to process was conducted and mash as fine scan data are converted to process data. High resolution photos obtained through the creation of 3D terrain data overlap and the final result. Fourthly, as a result of this action, stone structure West of the waterway back outgoing times oil was confirmed. Bangjiwondo is estimated to be seokji of structure hydroponic facility confirmed will artificially carved in the bedrock. As a result of this and the previous situation of the 1960s could compare data was created. This study provides 3D precision ordnance through the acquisition of the data. Excavations at the circle was able to preserve in perpetuity as digital data. In the future, this data is welcome to take a wide variety of professionals. This is the purpose of this is to establish foundations and conservation management measures will be used. In addition, The new ease of how future research and 3D scan unveiled in the garden has been used in the study expect.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.1-17
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• 2017

The deep learning framework is software designed to help develop deep learning models. Some of its important functions include "automatic differentiation" and "utilization of GPU". The list of popular deep learning framework includes Caffe (BVLC) and Theano (University of Montreal). And recently, Microsoft's deep learning framework, Microsoft Cognitive Toolkit, was released as open-source license, following Google's Tensorflow a year earlier. The early deep learning frameworks have been developed mainly for research at universities. Beginning with the inception of Tensorflow, however, it seems that companies such as Microsoft and Facebook have started to join the competition of framework development. Given the trend, Google and other companies are expected to continue investing in the deep learning framework to bring forward the initiative in the artificial intelligence business. From this point of view, we think it is a good time to compare some of deep learning frameworks. So we compare three deep learning frameworks which can be used as a Python library. Those are Google's Tensorflow, Microsoft's CNTK, and Theano which is sort of a predecessor of the preceding two. The most common and important function of deep learning frameworks is the ability to perform automatic differentiation. Basically all the mathematical expressions of deep learning models can be represented as computational graphs, which consist of nodes and edges. Partial derivatives on each edge of a computational graph can then be obtained. With the partial derivatives, we can let software compute differentiation of any node with respect to any variable by utilizing chain rule of Calculus. First of all, the convenience of coding is in the order of CNTK, Tensorflow, and Theano. The criterion is simply based on the lengths of the codes and the learning curve and the ease of coding are not the main concern. According to the criteria, Theano was the most difficult to implement with, and CNTK and Tensorflow were somewhat easier. With Tensorflow, we need to define weight variables and biases explicitly. The reason that CNTK and Tensorflow are easier to implement with is that those frameworks provide us with more abstraction than Theano. We, however, need to mention that low-level coding is not always bad. It gives us flexibility of coding. With the low-level coding such as in Theano, we can implement and test any new deep learning models or any new search methods that we can think of. The assessment of the execution speed of each framework is that there is not meaningful difference. According to the experiment, execution speeds of Theano and Tensorflow are very similar, although the experiment was limited to a CNN model. In the case of CNTK, the experimental environment was not maintained as the same. The code written in CNTK has to be run in PC environment without GPU where codes execute as much as 50 times slower than with GPU. But we concluded that the difference of execution speed was within the range of variation caused by the different hardware setup. In this study, we compared three types of deep learning framework: Theano, Tensorflow, and CNTK. According to Wikipedia, there are 12 available deep learning frameworks. And 15 different attributes differentiate each framework. Some of the important attributes would include interface language (Python, C ++, Java, etc.) and the availability of libraries on various deep learning models such as CNN, RNN, DBN, and etc. And if a user implements a large scale deep learning model, it will also be important to support multiple GPU or multiple servers. Also, if you are learning the deep learning model, it would also be important if there are enough examples and references.

• Management & Information Systems Review
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• v.36 no.1
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• pp.115-141
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• 2017

This study is to find the key factors of the Internet of Things for development in public sector. In previous studies, it is said that Internet of Things can work digital system without human operation and gives a lot of outputs(information) users. Generally, people are a subject of operating digital system in traditional way, while people are an object on the internet of things. In other words, it is possible to work digital system with only networking from things to things. After all, it is reported that these advantages of the Internet of Things make possible to reduce social costs significantly in public sector. However, despite the strengths of the Internet of Things, there is a specific user acceptance of the technology factor for the Internet of Things rarely. It means that developing of the Internet of Things only focuses on the final purpose. If the focus on development meet this purpose, the user is ignored for the specific reason that using a technique. As a result of this, many users gradually decrease the continuous using of the Internet of Things. Thus, in this study, we need to find what critical factors should reflect to the Internet of Things in public sector. To find this result, there is no choice to use Technology Acceptance Model(TAM). Many researchers have proved that Technology Acceptance Model is valid through the four process in model introduction, confirmation, expansion and refinement from 1986 to 2003. The results of this study showed that the result explanatory power of Internet of Things in public sector is the most important factor affecting only perceived social usefulness and ease of use. Finally, it can be seen that the user has a positive attitude toward use, which has a positive effect on the intention to use continuously. The implications of this study are summarized as follows: When the public Internet of Things service is provided, it means that the user can easily understand the result, and when the person and the object communicate the result to each other, they should be able to communicate with each other. This means that a lot of user effort is needed to understand the outcome of the public Internet of Things being provided.

• Journal of Nutrition and Health
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• v.48 no.4
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• pp.310-318
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• 2015

Purpose: The aim of this study is to investigate anti-arthritis activity using natural eggshell membrane (NEM). Methods: NEM was administered at 52 mg/kg, 200 mg/kg, and 400 mg/kg to SD-Rat, where arthritis was induced by monosodium iodoacetate (MIA) at 3 mg. NO production in serum was measured using Griess reagent. Cytokines including IL-$1{\beta}$, and IL-6 were measured by Luminex and $PGE_2$, MMP-2, MMP-9, TIMP-1, $LTB_4$, and hs-CRP were measured by ELISA. The cartilage of patella volume was examined and 3-D high-resolution reconstructions of the cartilage of patella were obtained using a Micro-CT system. Results: Production of NO, IL-$1{\beta}$, IL-6, $PGE_2$, MMP-2, MMP-9, TIMP-1, $LTB_4$, and hs-CRP in serum was decreased, respectively, in comparison with control. The cartilage of patella volume increased significantly. In addition, the NEM group showed a decrease in the cartilage of patella, synovial membrane, and transformation of fibrous tissue. Conclusion: The results for NEM showed significant anti-arthritis activity. These results may be developed as a raw material for new health food to ease the symptoms mentioned above.

• Journal of the Korean Society of Food Culture
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• v.13 no.4
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• pp.267-274
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• 1998

The consumption patterns of the minimally processed fruits and vegetables were surveyed in this present study. Eighty four women who were resident in either Seoul and Kyongki-do in Korea were participants in this study as respondents to our various questionnaire. The result are summarized as follows; The respondents had a preference for a supermarket (46.4%) as the place of purchase (or fruits and vegetables and the frequency of purchase was two or three times per week. The residents of apartment preferred department stores and supermarkets to stalls in the immediate residential area (p<.05). Fifty percents of the unmarried women respondents indicated that they only purchased once a week. Approximately 70% of the respondents rated quality considerations over the price and quantity when they choose their fruits and vegetables. This behavioral tendency was stronger for the residents of the apartment and amongst the more highly educated women. The type of fruits and vegetables purchased were mainly unprocessed. However, minimally processed products appeared to be popular especially among unmarried or married who did not have children, were highly educated and aged between 20 and 30. These observations are supported by data in which 82% of respondents whose ages were ranged between 20 and 30, with high educational backgrounds and who had experienced in the purchase of minimally processed fruits and vegetables. The motivation for purchasing minimally processed fruits and vegetables generally resulted from a consideration of the saving in cooking time, the ease of handling and the desire to serve appropriate portions. On the other hand, the reasons for not purchasing minimally processed fruits and vegetables were the comparatively high price, a perception of unsanitary handling and pack size that were considered too small. Ninety-three percent of the respondents exhibited a positive response to the need for minimally processed fruits and vegetables. Freshness was considered to be the most important factor when purchasing these products. The preferred price for the minimally processed fruits and vegetables was approximately $110{\sim}120%$ of that for the unprocessed products.

• Journal of Global Scholars of Marketing Science
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• v.17 no.3
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• pp.1-19
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• 2007

1. Purpose Rural tourism is made by individuals with different characteristics, needs and wants. It is important to have information on the characteristics and preferences of the consumers of the different types of existing rural accommodation. The stud aims to identify the determinants of consumer preference by type of accommodations. 2. Methodology 2.1 Sample Data were collected from 1000 people by telephone survey with three-stage stratified random sampling in seven metropolitan areas in Korea. Respondents were chosen by sampling internal on telephone book published in 2006. We surveyed from four to ten-thirty 0'clock afternoon so as to systematic sampling considering respondents' life cycle. 2.2 Two-step cluster Analysis Our study is accomplished through the use of a two-step cluster method to classify the accommodation in a reduced number of groups, so that each group constitutes a type. This method had been suggested as appropriate in clustering large data sets with mixed attributes. The method is based on a distance measure that enables data with both continuous and categorical attributes to be clustered. This is derived from a probabilistic model in which the distance between two clusters in equivalent to the decrease in log-likelihood function as a result of merging. 2.3 Multinomial Logit Analysis The estimation of a Multionmial Logit model determines the characteristics of tourist who is most likely to opt for each type of accommodation. The Multinomial Logit model constitutes an appropriate framework to explore and explain choice process where the choice set consists of more than two alternatives. Due to its ease and quick estimation of parameters, the Multinomial Logit model has been used for many empirical studies of choice in tourism. 3. Findings The auto-clustering algorithm indicated that a five-cluster solution was the best model, because it minimized the BIC value and the change in them between adjacent numbers of clusters. The accommodation establishments can be classified into five types: Traditional House, Typical Farmhouse, Farmstay house for group Tour, Log Cabin for Family, and Log Cabin for Individuals. Group 1 (Traditional House) includes mainly the large accommodation establishments, i.e. those with ondoll style room providing meals and one shower room on family tourist, of original construction style house. Group 2 (Typical Farmhouse) encompasses accommodation establishments of Ondoll rooms and each bathroom providing meals. It includes, in other words, the tourist accommodations Known as "rural houses." Group 3 (Farmstay House for Group) has accommodation establishments of Ondoll rooms not providing meals and self cooking facilities, large room size over five persons. Group 4 (Log Cabin for Family) includes mainly the popular accommodation establishments, i.e. those with Ondoll style room with on shower room on family tourist, of western styled log house. While the accommodations in this group are not defined as regards type of construction, the group does include all the original Korean style construction, Finally, group 5 (Log Cabin for Individuals)includes those accommodations that are bedroom western styled wooden house with each bathroom. First Multinomial Logit model is estimated including all the explicative variables considered and taking accommodation group 2 as base alternative. The results show that the variables and the estimated values of the parameters for the model giving the probability of each of the five different types of accommodation available in rural tourism village in Korea, according to the socio-economic and trip related characteristics of the individuals. An initial observation of the analysis reveals that none of variables income, the number of journey, distance, and residential style of house is explicative in the choice of rural accommodation. The age and accompany variables are significant for accommodation establishment of group 1. The education and rural residential experience variables are significant for accommodation establishment of groups 4 and 5. The expenditure and marital status variables are significant for accommodation establishment of group 4. The gender and occupation variable are significant for accommodation establishment of group 3. The loyalty variable is significant for accommodation establishment of groups 3 and 4. The study indicates that significant differences exist among the individuals who choose each type of accommodation at a destination. From this investigation is evident that several profiles of tourists can be attracted by a rural destination according to the types of existing accommodations at this destination. Besides, the tourist profiles may be used as the basis for investment policy and promotion for each type of accommodation, making use in each case of the variables that indicate a greater likelihood of influencing the tourist choice of accommodation.