• Tunnel and Underground Space
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• v.33 no.5
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• pp.373-387
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• 2023

Scientific exploration of extraterrestrial planets has gripped human imagination since the advent of space travel. Human missions to Mars could produce insight into the essential questions of how, when and where life began on Earth. Such missions would only be feasible using local space resources materials, a concept called in situ-resource utilization (ISRU). The purpose of this paper is to provide a thorough review of the currently available Mars soil simulants and to determine those with geotechnical properties most appropriate for vehicle mobility studies. Sourcing and processing are considered since full-scale studies require bulk quantities of material on the order of tens of tons. This review identifies the simulants with the highest fidelity to Mars wind drift soils. In addition, recommendation guide for mars soil simulant development made.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.77-92
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• 2023

The purpose of this study is to investigate the public perception of Gorpcore through Big Aata analytics. The study was conducted based on the collection of Big Data on the word 'Gorpcore' through Textom from July 24, 2017 to March 31, 2023. As a result, 63,386 words were collected from a total of 18,879 posts, and the top 50 words were determined based on frequency of appearance. Based on the collected words, centrality measures and CONCOR algorithm were performed in Ucinet 6. The research results are as follows. 1) The frequency of appearance was high in the order of 'Gorpcore look', 'fashion', 'coordination', 'clothes', 'outdoor', 'Musinsa', 'look', 'trend', 'brand' and 'ahjussi (middle-aged old man in Korean)'. These words had high TF-IDF scores, which leads to the conclusion that these are key words that are recognized as important. 2) Network centrality shows that 'Gorpcore look', 'fashion', 'outdoor', 'coordination', 'clothes', 'trend', 'look' and 'style' have a high correlation with other words. Through this, it was found that the public thinks it is important to create a variety of fashions by styling high-performance outdoor wear and casual wear, and that they are highly interested in clothes and in brands leading the Gorpcore trend. 3) As a result of the CONCOR algorithm, four significant groups were formed. The words that appear in each group are as follows. Group 1 - 'outdoor', 'Gorp', 'Normcore', 'hiking', 'functionality', 'new', 'sports', 'casual wear', 'activity', 'generation', 'collaboration'. Group 2 - 'fashion', 'trend', 'look', 'brand', 'style', 'shoes', 'ugly', 'item', 'trend', 'product', 'Salomon', 'padded jacket', 'stylishness', 'utilization', 'Winter', 'street', 'design', 'retro', 'popular', 'styling'. Group 3 - 'Gorpcore look', 'coordination', 'Musinsa', 'windbreaker', 'recommendation', 'Arcteryx', 'pants', 'man'. Group 4 - 'clothes' 'ahjussi', 'jacket', 'launching', 'spring', 'The North Face', 'collection', 'utility', 'jumper'. As a result, it can be seen that the Gorpcore is also regarded as a part of outdoor, fashion, coordination, and casual wear.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.9
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• pp.1271-1278
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• 2009

The purpose of this study was the improvement of satisfaction for school foodservice customers through analysis of the importance and performance of school foodservice quality and the understanding what factors affected customer's loyalty. The questionnaire was distributed to three hundred students at five high schools in Busan. Students evaluated the factors of importance and performance, the order of importance was sanitation> food> service and then, the order of performance was sanitation> service> food. Gap analysis resulted 4.39 for importance factors and 2.51 for performance factors; importance scores were higher than performance scores at all areas (p<0.01) and the sanitation factor gap was the biggest gap compared to all others. Each factor's analysis resulted that the gap analysis order was taste> balance of main & sub side dish> diversity of food in food area, quick react to customer complaint> reflection of customer proposal and recommendation> provide better service than competitor in service area, sanitation of food> cleanness of tableware> cleanness of container in sanitation area. The average score of customer's loyalty was 1.66 and female' score was significantly higher than male (p<0.001). Food, service and sanitation had a significant correlation to customer's loyalty than service (p<0.01), food (p<0.05), and sanitation (p<0.05) affected customer's loyalty significantly. So, intensive control is needed in the sanitation area which had the highest gap analysis result between importance and performance in food service. Especially, service factor was very important in explaining customer's loyalty, so service improvement through training is needed to improve student's satisfaction.

• Journal of KIISE:Databases
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• v.37 no.6
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• pp.343-350
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• 2010

We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.8
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• pp.1251-1257
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• 1999

Two experiments were conducted to determine the effects of roasting and extrusion on nutritional value of conventional and low-inhibitor soy beans for nurser-age pigs. In Exp. 1, 100 weaning pigs (7.5 kg average initial BW) were used in a 35-d growth assay to determine the effects of processing method (roasting in a Rast-A-Tron$^{TM}$ raster vs extrusion in an Insta-Pro$^{TM}$ extruder) on the nutritional value of Williams 82 soybeans with (+K) and without (-K) gene expression for the Kunitz trypsin inhibitor. Treatments were 48% soybean meal with added soybean oil, +K roasted, +K extruded, -K roasted and -K extruded. All diets were formulated to contain 3.5 Mcal DE/kg, with 0.92% lysine for d 0 to 14 and 0.76% lysine for d 14 to 35 of the experiment. The lysine concentrations were 80% of NRC (1988) recommendations to accentuate difference in response to protein quality and lysine availability. For d 0 to 14, pigs fed extruded soybeans (+K and -K) had greater ADG (p<0.001), ADFI (p<0.09) and gain/feed (p<0.01) than pigs fed roasted soybeans. For d 14 to 35 and overall, the same effects were noted, i.e., pigs fed extruded soybeans had greater ADG, ADFI and gain/feed than pigs fed roasted soybeans (p<0.03). Also, pigs fed -K soybeans were more efficient (p<0.008) than pigs fed +K soybeans. In Exp. 2, 150 weanling pigs (7.0 kg average initial BW) were used in a 35-d growth assay. All diets were formulated to contain 3.5 Mcal DE/kg, with 1.25% lysine for d 0 to 14 and 1.10% lysine for d 14 to 35 of the experiment. The lysine concentrations were formulated to be in excess of NRC recommendation to determine if differences in nutritional value of the soybean preparations could be detected in protein-adequate diets. For d 0 to 14 (p<0.06), 14 to 35 (p<0.03) and 0 to 35 (p<0.02), pigs fed extruded soybeans had greater ADG and gain/feed than pigs fed roasted soybeans. Apparent digestibilities of DM, N and GE were greater for diets with extruded soybeans than diets with roasted soybeans and diets with soybean meal and soybean oil were intermediate. The response to extrusion processing was greater with -K than +K soybeans, with pigs fed extruded -K soybeans having the greatest growth performance and nutrient digestibilities and lowest skin-fold thickness of any treatment. In conclusion, extrusion yielded a full-fat soy product of greater nutritional value than roasting. Also, selection against genetic expression of the Kunitz trypsin inhibitor improved nutritional value of the resulting soybean preparations.

• Journal of Distribution Science
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• v.15 no.12
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• pp.73-84
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• 2017

Purpose - Over recent years, O2O and shared economy have been an eye-catching topic. Many researches on O2O and shared economy have been published gradually. The emerging enterprise of chauffeured car services developed rapidly in the past two years. Therefore, it is necessary to explore the influencing factors of use intention of the chauffeured car services users. Through active use of O2O and shared economy, put up with operation strategy in line with their use intention. Research design, data, and methodology - After collecting 324 respondents in China with questionnaires, this study begin the empirical research with users of Chauffeured Car Services, and analyzes data with IBM SPSS 24.0 and IBM AMOS 24.0. Results - Personal Propensity to Trust significantly affects the Initial Trust of chauffeured car services users. Firm Reputation significantly affects the Initial Trust and use intention of chauffeured car services users. Initial Trust significantly affects the use intention of chauffeured car services users. Performance Expectancy and Effort Expectancy significantly affect chauffeured car services users' use intention. Social Influence also significantly affects the use intention of chauffeured car services users. Conclusions - First, Initial Trust significantly affects the use intention of chauffeured car services users. Thus, the enterprise should make efforts to improve users' initial trust in order to attract their attention. For this reason, chauffeured car services enterprises should conduct questionnaires to deeply explore what needs can improve users' initial trust. Second, performance expectancy and effort expectancy significantly affect chauffeured car services users' use intention. When users enjoy chauffeured car services, they attach great importance to the convenience, simplicity and efficiency, which reflects that chauffeured car services' desire for greater development in the O2O and shared economy market. Therefore, they need to grasp users' needs (convenience, simplicity and efficiency) and carefully improve the quality of chauffeured car services. Finally, social influence also significantly affects the use intention of chauffeured car services users. It means friend recommendation or mass media influences users' intention. So, it is more important to increase differentiated benefits, advertising and publicity of chauffeured car services.

• International Commerce and Information Review
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• v.16 no.1
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• pp.25-42
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• 2014

Since the reform and opening up in 1978, Chinese economy has been increasing rapidly with a high growth rate, but after 2012 the growth rate decreased as the reform of economic system. While economy in Africa began booming since 2000. Influenced by Global Financial Crisis and European Debt Crisis, economy in Africa slightly slowed down, but it was rebounding apparently from 2010. The urgent demand for energy and the sharp increasing in foreign exchange reserve pushes China to seek overseas markets. As Africa keeps a well relationship with China and the complementarity between China and Africa economy, Africa becomes one of the target markets for China's foreign development. Recently more and more enterprises begin to invest in Africa market. But till now the study on Africa mainly focuses on theoretical research based on real cases, and empirical research are very few and need to be increased. This thesis studies the influence of enterprise feature; local market feature and investment in foreign market on the result satisfaction of Chinese enterprises that invest in Africa markets. At the same time this thesis also studies and analyzes the market access strategy and marketing strategy for Chinese enterprises after entering overseas markets and put forward effective recommendation and suggestion for these enterprises. In order to proceed this study, 317 Chinese enterprises which invest in Africa have been investigated by me. And frequency analysis, reliability analysis, factor analysis, and simple regression analysis have also been conducted by SPSS18.0 APP to verify the hypothesis. The study result suggests that onlu investment in foreign market affects the Performance satisfaction of Chinese enterprises. And the market access strategy and marketing strategy play a role of the mediational effects when Chinese enterprises are investing in Africa.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.129-139
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• 2016

In this study, we analyzed the effect of entrepreneurial spirit of the start-up real estate founder gives to management achievements, founding education and it was confirmed whether they have a regulatory effect between them. For this reason, we conducted a questionnaire survey of real estate founder of start-up, were analyzed using the SPSS 18.ok. To summarize the research results are as follows. First of all, prefer achieve desire and venture start-up founder, it has become a direction of a significant and positive and management achievements of the dependent variable (+). This can be seen to affect the establishment go management achievements prefer to achieve desire is higher or of the venture. Second, the satisfaction of the business with the contents of the management achievements, may be mentioned whether the business recommendation, factors of these management achievements, each of the major contents of the management outcomes can be seen as an impact to some extent. While factors of independent variables were clearly private that there is a difference on the basis of its founding education as an adjustment variable in relation to the impact on business performance, some the only adjustment variables, such as whether to recommend satisfaction and business of business it was confirmed that shown. In this study, which provide us with the knowledge of information that can be derived to provide the basic information of implementation and policy-making that it is possible to promote the success activation of the start-up real estate in the successful establishment and operation of the business It is expected.

• Journal of the Korean Society of Radiology
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• v.6 no.5
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• pp.389-394
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• 2012

In this study, based on IEC 60601-2-54 standard load conditions presented in the limited interval over the air kerma at the absolute linearity closely evaluated by measuring the X-ray results were as follows: 10 units targeted all Diagnostic X-ray generating device (DR) presented in the IEC 60601-2-54 standard linearity of air kerma emerged as inappropriate, the general evaluation of the dose linearity from four in the top 50% and 80 kVp % of the two measurement series were as irrelevant all the rest from six of the top tube voltage of 50% and 80% of the two measurement series, appeared in all suitable. Presented in IEC 60601-2-54 standard dose linearity testing and conventional linearity tests showed many differences. IEC 60601-2-54 standard linearity in the proposed international standards of air kerma is the recommendation of the existing dose linearity considerably more feasible, and to quantify the amount of radiation as the standard suggested by the standard IEC 60601-2-54 air kerma of a diagnostic X-ray imaging device linearity performance management is considered key elements in the critical appraisal.