• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.119-126
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• 2016

Software maintenance becomes extremely difficult, especially caused by multiple versions in project-based or customer-oriented software development methodology. For reducing the maintenance cost, reengineering to software product line can be a solution to the software which either is a family of products nevertheless little different functionalities or are customized for each different customer's requirement. At an initial stage of the reengineering, the most important activity in software product line is feature extraction with respect to commonality and variability from the existing system due to verifying functional coverage. Several researchers have studied to extract features. They considered only a single version in a single product. However, this is an obstacle to classify the commonality and variability of features. Therefore, we propose a method for systematically extracting features from source code and its change history considering several versions of the existing system. It enables us to represent functionalities reflecting developer's intention, and to clarify the rationale of variation.

• Journal of Software Engineering Society
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• v.28 no.2
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• pp.7-13
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• 2019

Consumers see many external factors when they buy a product, but the most important thing is the function and composition of the product. In particular, it is important to accurately identify the components of chemicals in order to prevent misuse, and a systematic management method is required. However, there is a lack of a systematic way for consumers to manage chemical components, and much effort is required to manage them manually. Therefore, in this paper, we propose a method of extracting product's information of real-time recognition based products that can be used to systematically manage chemical components, and design and develop a mobile application prototype of the method. The prototype can be developed to systematically manage multiple chemical products in the future.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.151-161
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• 2016

In the era of the Web 2.0, characterized by the openness, sharing and participation, it is easy for internet users to produce and share the data. The amount of the unstructured data which occupies most of the digital world's data has increased exponentially. One of the kinds of the unstructured data called personal online product reviews is necessary for both the company that produces those products and the potential customers who are interested in those products. In order to extract useful information from lots of scattered review data, the process of collecting data, storing, preprocessing, analyzing, and drawing a conclusion is needed. Therefore we introduce the text-mining methodology for applying the natural language process technology to the text format data like product review in order to carry out extracting structured data by using R programming. Also, we introduce the data-mining to derive the purpose-specific customized information from the structured review information drawn by the text-mining.

• Korean Journal of Computational Design and Engineering
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• v.10 no.2
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• pp.97-106
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• 2005

W3C has developed the RDF standard for utilizing ontology in Web applications. This paper presents extracting, storing, and applying ontology on product data. The design and tooling information included in STEP-NC files is focused as an example. By analyzing the relationship among the product data, the RDF schema is designed first. Based on the schema ontology if extracted and stored in XML files. As an application of the stored ontology, we can reconfigure the sitemap of product data repositories. In this example, the users can select the view that he or she is interested in (e.g. product, tool, person). With such various views of an product data repository, the users can access the specific data more effectively.

• The KIPS Transactions:PartA
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• v.19A no.4
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• pp.195-204
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• 2012

M-commerce services are rapidly emerging with recent advances in mobile devices and wireless communications. Internet Shopping mall managers provide mobile phone users with their mobile shopping malls for m-commerce. However, these mobile shopping malls usually have their own sites which are not compatible with their Internet shopping malls, thus resulting in inefficiency to manage the two kinds of shopping malls. In this paper, we develop a M-commerce content provider system to effectively bring Internet shopping malls to mobile phones by extracting items only concerned to users from product documents. We then apply and evaluate the system over a specific internet shopping mall site. The results show that the system reduces considerably the amount of data transferred to user's mobile phones compared with using general web browsers.

• Journal of KIISE:Software and Applications
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• v.35 no.6
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• pp.392-403
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• 2008

User reviews are valuable information that can be used for various purposes. In particular, the product reviews on online shopping sites are important information which can directly affect the purchasing decision of the customers. In this paper, we present our design and implementation of a system for summarizing the customer's opinion and the features of each product by analyzing reviews on a commercial shopping site. During the analysis process, several natural language processing(NLP) techniques and the semantic dictionary were used. The semantic dictionary contains vocabularies that are used to express product features and customer's opinions. And it was constructed in semi-automatic way with the help of the tool we implemented. Furthermore, we discuss how to handle the vocabularies that have different meanings according to the context. We analyzed 1796 reviews about 20 products of 2 categories collected from an actual shopping site and implemented a novel ranking system. We obtained 88.94% for precision and 47.92% for recall on extracting opinion expression, which means our system can be applicable for real use.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.1
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• pp.56-67
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• 2005

The Processes of a new product design based on ergonomics and customer satisfaction have been studied for years. However, few attempts have been made to systematically include ergonomic design concept to communication service design. Service design can be regarded as a specific type of product design in a way that the processes of product design can also be employed to those of service design. However, a few difficulties may often arise in doing so. First, services have no explicit tangible features, which implies that a customer may not properly appraise contents, quality and functionality of newly designed services with a prototype before launching into market. Second, customer demands on services change more rapidly according to advances in related technology. In the study, we examined earlier studies of product design process and identified that a service design process must alos conform ergonomic methodology, extracting innovative values for creativitybased design and subsequently evaluate its level of customer satisfaction. In this study, we proposed a customer-centered ergonomic design process for communication services. This process includes a hierarchical structure of service requirement identification, customer-centered trend analysis, service scenario development and service evaluation. To prove the practicality of the design process, a case study of communication service design was conducted according to the procedure that follows.

• The Research Journal of the Costume Culture
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• v.25 no.5
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• pp.611-628
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• 2017

As a plan for establishing Korea's cultural identity and its competitive edge in the world market and for enhancing Korea's cultural status, creative and unique high value-added cultural products need to be developed utilizing our inherent cultural assets. Accordingly, this study focused on the development of the design of fashion cultural products that utilize the convergence of Hangeul our peculiar font style and Korea's cultural heritage, which is registered as part of UNESCO's World Heritage. A design method was devised that converges archetypal images of cultural property with the unique Hangeul font in a way that targets Korea's symbolic architectures. The symbolic architecture includes Korea's world-heritage pagoda architecture, such as Seokgatap pagoda and Dabotap pagoda at Bulguksa temple. It also included the architecture of royal palace, such as Injeongjeon hall at Changdeokgung palace. Finally, it also included the architecture of the fortress wall, such as Paldalmun gate in Hwaseong fortress. Thus, by developing cultural assets made from a convergence between architecture and the Hangeul font as a consumer-product image that has universality, the possibility of cultural products was pursued by applying color planning after an analysis that involved extracting the compositional colors of the flags of the world. This research and approach will lead to opportunities for further progress for Korea's cultural products in the global market as a results of additional recognition for their value, excellence, and universal appeal.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.479-486
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• 2017

The purpose of this study is to analyze the preference and value of consumers through the package design of cosmetics with the concept of cause branding, and to propose a package design that can satisfy consumers' needs. I have recruited an experimental group that emphasizes the importance of package design in purchasing cosmetics. And Survey and in-depth interviews were conducted by comparing cause brand's product with general brand's product. In the first experiment, the items were classified into cognitive, emotional, and behavioral responses and a total of 31 subjects were surveyed. In the second experiment, six interviewees were interviewed through a questionnaire prepared by extracting 4 items from Sheth 's consumption value standard. As a result of the experiment, consumers preferred a design that can quickly and accurately grasp the information of the product. Especially, it is not easy to know whether it is a cause brand's product. So It should be stated in the package how it will be socially beneficial.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.47-54
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• 2015

The number of users of SNS such as Twitter and Facebook increases due to the development of internet and the spread of supply of mobile devices such as smart phone. Moreover, there are also an increasing number of content pollution problems that pollute SNS by posting a product advertisement, defamatory comment and adult contents, and so on. This paper proposes an improved method of extracting the feature of content polluter for detecting a content polluter in SNS. In particular, this paper presents a method of extracting the feature of content polluter on the basis of incremental approach that considers only increment in data, not batch processing system of entire data in order to efficiently extract the feature value of new user data at the stage of predicting and classifying a content polluter. And it comparatively assesses whether the proposed method maintains classification accuracy and improves time efficiency in comparison with batch processing method through experiment.