• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.6
• /
• pp.1-9
• /
• 2020

The manufacturing processes of high-precision parts for PGM (Precision Guided Missiles) have not been improved for decades; they still depend on machining or high-precision casting. These processes have an advantage when making small amounts of high-reliability parts in the usual case of a PGM system. In the case of a PGM system, however, which has been made for striking an extensive area, requires hundreds of bomblet units that require mass productivity. In addition, in the case of a part that is very difficult to machine, mass productivity and quality cannot be satisfied at the same time. In particular, cost reduction is an essential precondition to strengthening the export competitiveness of Korean defense articles. This study examined whether the MIM process is appropriate for manufacturing high-precision parts that require mass productivity. The optimized MIM process condition was determined after carrying out fundamental research. Comparisons of the quality of prototype parts with original parts and a functional test of a fuse that had been made with MIM parts highlighted the application possibility of the MIM process.

• Journal of Intelligence and Information Systems
• /
• v.17 no.1
• /
• pp.37-52
• /
• 2011

Supply chain management is a strategic thinking which enhances the value of supply chain and adapts more promptly for the changing environment. For the seamless partnership and value creation in supply chains, information and knowledge sharing and proper partner selection criteria must be applied. Thus, the partner selection criteria are critical to maintain product quality and reliability. Each part of a product is supplied by an appropriate supply partner. The criteria for selecting partners are technological capability, quality, price, consistency, etc. In reality, the criteria for partner selection may change according to the characteristics of the components. When the part is a core component, quality factor is the top priority compared to the price. For a standardized component, lower price has a higher priority. Sometimes, unexpected case occurs such as emergency order in which the preference may shift on the top. Thus, SCM partner selection criteria must be determined dynamically according to the characteristics of part and its context. The purpose of this research is to develop an OWL model for the supply chain partnership depending on its context and characteristics of the parts. The uncertainty of variable is tackled through fuzzy logic. The parts with preference of numerical value and context are represented using OWL. Part preference is converted into fuzzy membership function using fuzzy logic. For the ontology reasoning, SWRL (Semantic Web Rule Language) is applied. For the implementation of proposed model, starter motor of an automobile is adopted. After the fuzzy ontology is constructed, the process of selecting preference-based supply partner for each part is presented.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2000.04a
• /
• pp.357-364
• /
• 2000

기존의 웹 디자인은 웹이라는 매체의 특성 상 디자인적인 요소가 매우 중요함에도 불구하고 디자인은 위한 구체적인 방법론이 미약하다. 특히, 많은 소비자들을 유인하고 구매를 촉발시켜야 하는 인터넷 쇼핑몰의 경우에는 더욱 더 그럼하에도 불구하고 이를 위한 전략적인 방법론이 부족하다. 즉, 기존 연구들은 제품의 다양성, 서비스, 촉진, 항해량, 편리성, 사용자 인터페이스 등이 중요하다고 하였지만 실제 인터넷 쇼핑몰을 디자인하는 입장에서는 활용하기가 상당히 애매하다. 그 이유는 이들 요인들은 서로 영향관계를 가지고 있어서 사용자 인터페이스가 복잡하면 항해량이 늘어나 편리성이 감소하고, 제품이 늘어나더라도 검색엔진을 사용하면 상대적으로 항해량이 감소하게 되어 편리성이 증가한다. 따라서, 이들 요인을 활용하여 인터넷 쇼핑몰을 구축하려면 요인간의 영향관계를 면밀히 파악하고 이 영향요인이 소비자의 구매행동에 어떠한 영향을 주는지가 충분히 검토되어야 한다.이에 본 연구에서는 퍼지인식도를 이용하여 인터넷 쇼핑몰 상에서 소비자의 구매행동에 영향을 주는 요인을 추출하고 이들 요인간의 인과관계를 도출하여 보다 구체적이고 전략적으로 인터넷 쇼핑몰을 디자인할 수 있는 방법으로 web-Cogmulator를 제시한다. Web-Cogmulator는 소비자의 쇼핑몰에 대한 암묵지식 형태의 구매행동을 형태지식화하여 지식베이스 형태로 가지고 있기 때문에 인터넷 쇼핑몰의 다양한 요인의 변화에 따른 소비자의 구매행동을 추론 시뮬레이션하는 것이 가능하다. 이에 본 연구에서는 기본적인 인터넷 쇼핑몰 시나리오를 바탕으로 추론 시뮬레이션을 실시하여 Web-Cogmulator의 유용성을 검증하였다.를, 지지도(support), 신뢰도(confidence), 리프트(lift), 컨빅션(conviction)등의 관계를 통해 다양한 방법으로 모색해본다. 이 연구에서 제안하는 이러한 개념계층상의 흥미로운 부분의 탐색은, 전자 상거래에서의 CRM(Customer Relationship Management)나 틈새시장(niche market) 마케팅 등에 적용가능하리라 여겨진다.선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computati

• Journal of Convergence for Information Technology
• /
• v.8 no.1
• /
• pp.27-36
• /
• 2018

This study aims to investigate the status of using medicinal herb cosmetics targeting women who had experiences of using medicinal herb cosmetics and present basic data for future development of medicinal herb cosmetics that can satisfy the needs of future customers and convergence marketing strategies. For the purposes, this study conducted a frequency test and a chi-square test (${\chi}^2$) on the 351 copies of responses obtained from a survey targeting adult women to identify the use status according to perceptions on medicinal herb cosmetics. As a result, the followings were presented: As the subjects were older, they preferred medicinal herb cosmetics and intended to keep purchasing it. Customers had more confidence in the medicinal herb cosmetics when the cosmetics were good-quality. In respect to efficacy difference according to prices, the subjects who believed that there was difference in efficacy according to prices were more satisfied with the medicinal herb cosmetics and purchased products of higher price. Such results indicate it is suggested that medicinal herb cosmetics would develop further when cosmetic products that can satisfy their need are developed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.2
• /
• pp.127-135
• /
• 2020

The purpose of this paper is to classify individual startups by growth stage based on data-based quantitative criteria. This is to provide a basis for systematic support for government startups based on accurate statistics on the startup growth process. This startups were the TIPS (Tech Incubator Program for Startup) support company, which used a relatively reliable startup. We found seed money to complete MVP (Minimum Viable Product) within 1.5 years after establishment, verified PMF (Product-Market Fit) within 1 year, attracted Series A investment within 2.5 years after establishment, and successfully commercialized it. It attracted Series B investment for stable growth within 1.5 years (Series B investment within 4 years from start-up). The results of the study, the division of government programs that support stage-based startup commercialization, that is, within three years and within seven years of establishment, is significant to date. Three directions are suggested for future research. First, develop indicators for monitoring startup growth stages. Second, it continuously updates the annual changes and tracks the growth stages of individual startups. Third, we discover the successful growth law of technology-based startups by applying in-depth case analysis of successful startups to the model.

• Information Systems Review
• /
• v.8 no.2
• /
• pp.155-172
• /
• 2006

The importance and meaning of smell/taste information on online shopping are studied. The first hypothesis deals with this issue directly. We measure the perceived quality and purchase intention at the context of online shopping with/without smell and taste information. As expected, subjects show higher perceived quality/stronger purchase intention of a bar soap and vitamin C product when smell and taste information are provided. Following Peck and Childers(2003), the moderating effects of Need for Smell and Need for Taste are tested at the second hypothesis. Subjects with High in Need for Smell/Touch show stronger responses in terms of perceived quality and purchase intention. The level of trust about the online shopping mall provides interesting results. When the trust level of the online shopping mall is low, the smell/taste information play more important roles in improving the perceived quality and purchase intention. Subjects at the not-so-trusted shopping mall context result in higher perceived quality and purchase intention if perceptual information is provided. One of the theoretical contributions of this study includes the identification of critical information in online purchase decision making-smell and taste. On top of vision and hearing information, smell and taste information also can play critical roles when consumers do online shopping even at the shopping malls of low trust. In addition, managerial implications are provided.

• Journal of Food Hygiene and Safety
• /
• v.25 no.4
• /
• pp.376-387
• /
• 2010

Recently, speedy, convenient and easy detection technologies have been developed rapidly and on the contrary, studies on development of traditional detectors applying biochemical characteristics has gradually been decreased. This review examined trend in current studies on detection of food-borne pathogenic microorganisms in the fields of selective media, immuno-assay, Polymerase Chain Reaction (PCR), microarray, terahertz spectroscopy & imagination and so on. Most traditional methods to detect the organisms from food matrix rely on selective media and such a method have disadvantages like long time requirement and distinguishing one species only from each selective medium although they are highly economical. Various new convenient methods such as Enzyme Linked Immuno-sorbent Assay (ELISA), paper-strip kit, fluoroimmunoassay etc. have been developed. The most ideal method for detecting food-borne pathogenic microorganisms in foods should be accurate, convenient, rapid and economical. Additionally, it is needed that capabilities of quantitative analysis and automation to be applied to industries.

• Journal of the East Asian Society of Dietary Life
• /
• v.24 no.6
• /
• pp.896-905
• /
• 2014

The purpose of this study was to investigate the use and perception of adults concerning sprout vegetables. Self-administered questionnaires were collected from 516 residents in the Daegu and Gyeonbuk areas. When purchasing sprout vegetables, respondents answered that they considered freshness, eco green, and price. Consumers purchased sprout vegetables to make bibimbap (58.9%) and salad (29.3%). Approximately 81.4% of respondents answered that they purchased sprout vegetables in grocery and department stores. Once or twice per month was the highest purchase frequency for sprout vegetables. Regarding knowledge of sprout vegetables, radish sprout score was the highest (3.14), whereas preference was highest for barley grass (3.00). When asked how much they like sprout vegetable menus, subjects responded that they liked bibimbap (3.79), salad (3.73) and bibim noodles (3.58). As a result, popularization of sprout vegetables was based on product quality factor and sales promotion factor significantly influenced preference for sprout vegetable menus. To increase consumption of sprout vegetables, there is a need for hygiene and safety of sprout products and variations and improvement of quality.

• Korean Security Journal
• /
• no.45
• /
• pp.65-86
• /
• 2015

The purpose of this study was aimed to identify the relationship between service quality and behavior by spectators participating security exhibition. The subject for this study was spectators who participating World Security Expo 2014 held three days from March 12 to 14 in 2014. 350 samples were selected by convenience sampling for subject of this study. 320 out of 350 surveys, excluded 30 unfaithful and defected surveys, were used for data analysis. Research tool was questionnaire which was based on and recomposed by previous researches home and abroad. The collected data were treated for analysis of frequency, reliability, factor analysis, correlation, and multitiple regression analysis by using SPSS statistic package version of 18.0 Through the above research method and procedure, the results were as followings. First, the relationship between service quality and behavior after participating exhibition appeared positively. It was found that there was high relationship between service quality and behavior. Second, analyzing relationship of factors between service quality and behaviors resulted to effect perceived environment, human services, and product on word of mouth. Third, analyzing relationship of factors between service quality and behaviors resulted to effect perceived environment, product, and price on re-participation.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.4
• /
• pp.441-456
• /
• 2021

Enterprise is focused on R&D innovative activities in order to achieve sustainable growth & secure competitive advantage. There are many factors that influence enterprise innovation performance, but enterprise innovation activities do not always have a positive effect. Therefore, this study analyzed the effects of on innovation performance, focusing on innovation acceleration factors and innovation hindrance factors. The research model analyzed 2,081 national manufacturing enterprises that responded to the 2016 Korean Innovation Survey (STEPI). SPSS 25.0 was used to perform reliability, feasibility, and logistic regression analysis. The results are as follows. First, innovation activities have positive effects on enterprise product and process innovation performance. On the other hand, government support had the opposite results. Second, the collaboration of technology showed a positive effect on product innovation performance, independent of innovation acceleration and hindrance factors. Third, innovation activities showed a positive effect on process innovation performance, regardless of the innovation acceleration and hindrance factors. Unlike prior studies limited to technological innovation, this study analyzed the attitudes of enterprises toward innovation acceleration and hindrance factors. This study is expected to contribute to establishing a strategy for reducing the failure and risk of innovation due to its findings on how innovation performance varies by groups.