• Korean Management Science Review
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• v.24 no.1
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• pp.63-76
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• 2007

To realize the mass customization entails the optimized supply chain design for efficiently producing and delivering the various products. In this study, we considered the problem obtaining the optimized production policy under the situation wherein the multiple products are apportioned into multiple parallel production facilities. More specifically, the production set-up costs incurs according to whether the production facilities are utilized or not. The facility-dependent set-up costs increase the problem complexity in solving the production apportioning problem for multiple products. This problem can be formulated as concave minimization problem, which is known as NP-hard problem. In this paper, a heuristic algorithm is proposed to solve two conjoint problems : one is to select the cost-effective facilities from alternative multiple production facilities and the other is to apportion the production lot to those selected facilities.

• Journal of Practical Agriculture & Fisheries Research
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• v.5 no.1
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• pp.36-56
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• 2003

Selenium(Se) is an essential trace element in the human body. Main function of this element is a catalytic part of antioxidant enzymes that protect cells against the attacks of free radicals that are produced during normal metabolism of the body. Se is also essential for normal function of the immune system and thyroid gland. It also appears to be a key nutrient in counteracting the development of virulence and inhibiting HIV(human immunodeficiency virus) progression to AIDS. It is also required for sperm motility and reduces the depression. Therefore, it is very meaningful that livestock producers generate Se-fortified animal products, such as Se-egg, Se-milk, Se-pork, Se-chicken and Se-beef from the point of producers as well as human heath. However, regulation on Se usage and Se-fortified food/feed is far from being clear in Korea even though Se should be carefully monitored because of its toxicity. Thus, one has to be aware of Se properties when designing Se-fortified animal products.

• Journal of the Korean Society of Costume
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• v.28
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• pp.31-46
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• 1996

The purpose of this study was to review the influence of nylon to Korean clothing and tex-tile industries from 1945 to 1970. To achieve this purpose newspapers magazines adverti-sements and industrial statistics were surve-yed and reviewed. The result showed that nylon products were presented at first by US army in 1945 and diversed through Korean War, The influence of nylon to clothing life were increased by the point of import of nylon in 1954. After the im-port of nylon filaments in the period 1957-1963 the need of consumers lead the mass products of nylon from 1963.

• Journal of Plant Biotechnology
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• v.37 no.1
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• pp.67-71
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• 2010

Output traits centered on improved plant-based products will find their way to consumers in such ways as nutritionally enhanced foods, therapeutic proteins for disease treatment and vaccines, bio-industrial products, modified oil quality and biofuels. Significant progress in biotechnology has occurred over the last several decades. The importance of output traits development and production using biotechnology will impact not only agribusiness, but also pharmaceutical and food industries. The objective of this paper is to review briefly the current status of output traits development in crop plants using nutrients and pharmaceuticals as examples.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.63-82
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• 2016

Individuals gather information online to resolve problems in their daily lives and make various decisions about the purchase of products or services. With the revolutionary development of information technology, Web 2.0 has allowed more people to easily generate and use online reviews such that the volume of information is rapidly increasing, and the usefulness and significance of analyzing the unstructured data have also increased. This paper presents an analysis on the lexical features of expert product reviews to determine their influence on consumers' purchasing decisions. The focus was on how unstructured data can be organized and used in diverse contexts through text mining. In addition, diverse lexical features of expert reviews of contents provided by a third-party review site were extracted and defined. Expert reviews are defined as evaluations by people who have expert knowledge about specific products or services in newspapers or magazines; this type of review is also called a critic review. Consumers who purchased products before the widespread use of the Internet were able to access expert reviews through newspapers or magazines; thus, they were not able to access many of them. Recently, however, major media also now provide online services so that people can more easily and affordably access expert reviews compared to the past. The reason why diverse reviews from experts in several fields are important is that there is an information asymmetry where some information is not shared among consumers and sellers. The information asymmetry can be resolved with information provided by third parties with expertise to consumers. Then, consumers can read expert reviews and make purchasing decisions by considering the abundant information on products or services. Therefore, expert reviews play an important role in consumers' purchasing decisions and the performance of companies across diverse industries. If the influence of qualitative data such as reviews or assessment after the purchase of products can be separately identified from the quantitative data resources, such as the actual quality of products or price, it is possible to identify which aspects of product reviews hamper or promote product sales. Previous studies have focused on the characteristics of the experts themselves, such as the expertise and credibility of sources regarding expert reviews; however, these studies did not suggest the influence of the linguistic features of experts' product reviews on consumers' overall evaluation. However, this study focused on experts' recommendations and evaluations to reveal the lexical features of expert reviews and whether such features influence consumers' overall evaluations and purchasing decisions. Real expert product reviews were analyzed based on the suggested methodology, and five lexical features of expert reviews were ultimately determined. Specifically, the "review depth" (i.e., degree of detail of the expert's product analysis), and "lack of assurance" (i.e., degree of confidence that the expert has in the evaluation) have statistically significant effects on consumers' product evaluations. In contrast, the "positive polarity" (i.e., the degree of positivity of an expert's evaluations) has an insignificant effect, while the "negative polarity" (i.e., the degree of negativity of an expert's evaluations) has a significant negative effect on consumers' product evaluations. Finally, the "social orientation" (i.e., the degree of how many social expressions experts include in their reviews) does not have a significant effect on consumers' product evaluations. In summary, the lexical properties of the product reviews were defined according to each relevant factor. Then, the influence of each linguistic factor of expert reviews on the consumers' final evaluations was tested. In addition, a test was performed on whether each linguistic factor influencing consumers' product evaluations differs depending on the lexical features. The results of these analyses should provide guidelines on how individuals process massive volumes of unstructured data depending on lexical features in various contexts and how companies can use this mechanism from their perspective. This paper provides several theoretical and practical contributions, such as the proposal of a new methodology and its application to real data.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• Smart Media Journal
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• v.2 no.2
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• pp.20-27
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• 2013

The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

• Korean Journal of Pharmacognosy
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• v.4 no.3
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• pp.105-152
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• 1973

Modern pharmaceutical scientists and medicinal chemists have shown only sporadic interest in mineral drugs of oriental medicine, although the use of minerals in medicine dates from early ancient cultures. The mineral, until recently, has been relatively neglected by the natural product and medicinal chemists. At this moment in time it is appropriate to review briefly the status of mineral oriental drugs in Korea, and eighty items of mineral drugs were listed in this review. This review is also concerned with those references, classic or current, pertaining to application, origin, and constituent of those mineral drugs. It is the aim of this review to facilitate presentation of useful informations in an attempt to entice the natural product and medicinal chemists to seek rediscovery and further application of mineral oriental drugs in Korea.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• Journal of Biosystems Engineering
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• v.40 no.3
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• pp.277-283
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• 2015

Background: Foodborne disease outbreaks from various food sources are a major health concern worldwide. Current methods for detection of foodborne pathogens are both expensive and time-consuming. Purpose: This review aims to present the current information available on the use of lateral flow test strips to detect pathogens in food products to enhance food safety. Results: Frequent foodborne disease outbreaks from various food sources have increased the need for rapid and easy methods for routine analysis of foodborne pathogens. Present detection methods for foodborne pathogens require expensive instruments, experts, and long time for sample analysis. Lateral flow test strips have drawn attention in recent years because of their ability to detect analytes quickly and easily. This review focuses on the principle of the lateral flow test, the various formats of lateral flow test strips, recognition elements, labeling tags, and reading instruments. In addition, this review also discusses the future prospects for the lateral flow test strips.