• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1561-1583
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• 2022

Context: Testing is one of the techniques that can assure the quality of software including the domain of Software Product Line (SPL). Various techniques have been deliberated to enhance the quality of SPL including Model-based Testing (MBT). Objective: The objective of this study is to analyze and classify trends of MBT in SPL covering the solutions, issues and evaluation aspects by using taxonomy form. Method: A Systematic Literature Review (SLR) was conducted involving 63 primary studies from different sources. The selected studies were categorized based on their common characteristics. Results: Several findings can guide future research on MBT for SPL. The important finding is that the multiple measurements are still open to improving current metrics to evaluate test cases in MBT for SPL. The multiple types of measurement required a trade-off between maximization and minimization results to ensure the testing method which could satisfy multiple test criteria for example cost and effectiveness at the same time.

• Korea Trade Review
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• v.47 no.3
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• pp.177-190
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• 2022

This study is designed to identify the differences in the types and importance of trade claims at the national level. For analysis data, abstracts of arbitration and court judgments published on the website of the United Nations Commission on International Trade Law are collected and used. The target countries are China and the United States, with 102 cases from China and 59 cases from the United States. By applying topic modeling techniques to the collection decisions of China and the United States, trade claims are categorized, and the importance of each type is identified using the network centrality index derived through semantic network analysis. The analysis results are as follows. First, the main types of trade claims were the same for both the United States and China: product nonconformity, delivery issues, and payments. However, in China, the order of product nonconformity > delivery issues > payments was important, and in the United States, payments > product nonconformity > delivery issues were found to be important. This study is significant in that it presents a strategic trade claim management plan using a quantitative methodology.

• Journal of the Korean Society of Safety
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• v.16 no.4
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• pp.188-193
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• 2001

From July 1st 2002, the Product Liability Act will be efficacious in Korea, and its influence will be prevalent over all industrial folds. However, little attention has been paid to the Act and its influence in the area of Industrial Safety. Therefore, this paper aimed to call the people's attention to them, and to suggest some points for counterplans in that n As for counterplans to the Product Liability, there are two different approaches - Product Liability Prevention (PLP) and Product Liability Defense(PLD). Between them, PLP is more safety-oriented approach, and especially Product Safety(PS) will be the core of it. Related with this, it was noted that productive goods which are utilized as productive materials or tools in the later process or industries could be troublesome when the Act is efficacious. As a solution, the necessity of cooperation among manufacturing plants belong to the similar industry, and of development of qualitative techniques applicable to analyses of consumers behavior was emphasized. Ant the interest and participation of Human Behavioral Scientists, Ergonomists as well as Consumer Psychologists were called upon. Also, it was suggested that an integrative approach including administrative or governmental management system for industrial goods should be developed.

• Archives of design research
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• v.14
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• pp.87-106
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• 1996

Recent rapid development of electronic technologies and semiconductors has made it possible to perform diverse intelligent functions even in simple products. This technological sophistication, in turn, made it difficult to get required information on the usage of products by just its shape. Under these new circumstances, User-interface design became more important. However existing studies were mainly done with the emphasis of software development and focusing on the evaluation-stage after development of alternatives. This study sets the objective for developing modeling technique which can be applied to product design and the stage of concept development. At first the role of modeling was discussed to understand the nature of modeling. Then the existing techniques of modeling were reviewed for identifying advantages and limits. The review of existing modeling techniques revealed general objectives which new modeling techniques should fulfill. Based on objectives new modeling techniques were proposed. Following this new techniques, actual case of modeling a existing product were demonstrated to evaluate the validity of new technique and show the actual application. Finally findings were summarized and the limits of the study were identified.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.222-226
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• 2010

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through these reviews. However, since online shopping malls do not provide ranking results, it is not easy for users to read all the relevant review documents effectively. Product reviews include subjective and emotional opinions. Thus, the review search is different from the general web search in terms of ranking strategy. In this paper, we propose an effective method of ranking the reviews that can reflect user's intention by using opinion mining techniques. The proposed method analyzes product reviews with query words, and sentimental polarity of subjective opinions. Through diverse experiments, we show that our proposed method outperforms conventional ones.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.385-392
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• 2012

The definition of the product market in a supplier's point of view can cause various problems in the market activities of companies because specific situations are excluded and the consideration for discontinuity is lacking by identifying segmented markets with processes, raw materials, the similarity of product functions and so forth. Furthermore, as this definition is static and general, it is difficult to express and predict the dynamic market changes. Meanwhile, customer-oriented market segment can be obtained by grouping substitutable products and related customers in the situation pursuing specific benefits. This definition of the product market enables us to find threats and opportunities emerging in markets and promotes effective performance assessments and resource allocation. The purpose of this paper is suggesting a framework to select data mining techniques proper for the customer data characteristics to identify customer oriented product market.

• Archives of design research
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• v.12 no.1
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• pp.63-72
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• 1999

Customer needs are considered as being quite remarkable in product design. The elaborate fulfillment of them in the design solution is closely related to the success of a product. They, however, are generally collected and presented by marketers. Consequently those needs are difficult for designers to understand and therefore might not get fulfilled in the final product design. Here the goal of this study is set that the process of design information elicitation based on customer needs is developed as a guideline of utilizing them in design activity in effective manners. findings of this study can be summarized as follows: First, customer needs are expected to get interpreted into the designer-oriented language in the aspect of function and image of a product. Those interpreted needs play a role as a base for concept establishment and the development of it with the help of various techniques from the fold of statistics and systematic product development. Second, designer-oriented manner of understanding customer needs requires designers to take parts in from collecting to interpreting them for better design solution that fulfills them, which brings up a necessity that available techniques shouldn't be beyond understanding of designers and for the styling activity customer needs of image aspect should be interpreted and presented visually. In this study, those visual information is presented through the image maps and image information sheet. It is image information sheet that is suggested to contain visual and verbal information altogether such as the overall and major elements images expressing a specific image need and the correlation between them showing how much the elements image contributes to building the overall image.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.233-239
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• 2022

The injection molding process is a process in which thermoplastic resin is heated and made into a fluid state, injected under pressure into the cavity of a mold, and then cooled in the mold to produce a product identical to the shape of the cavity of the mold. It is a process that enables mass production and complex shapes, and various factors such as resin temperature, mold temperature, injection speed, and pressure affect product quality. In the data collected at the manufacturing site, there is a lot of data related to good products, but there is little data related to defective products, resulting in serious data imbalance. In order to efficiently solve this data imbalance, undersampling, oversampling, and composite sampling are usally applied. In this study, oversampling techniques such as random oversampling (ROS), minority class oversampling (SMOTE), ADASYN(Adaptive Synthetic Sampling), etc., which amplify data of the minority class by the majority class, and complex sampling using both undersampling and oversampling, are applied. For composite sampling, SMOTE+ENN and SMOTE+Tomek were used. Artificial neural network techniques is used to predict product quality. Especially, MLP and RNN are applied as artificial neural network techniques, and optimization of various parameters for MLP and RNN is required. In this study, we proposed an SA technique that optimizes the choice of the sampling method, the ratio of minority classes for sampling method, the batch size and the number of hidden layer units for parameters of MLP and RNN. The existing sampling methods and the proposed SA method were compared using accuracy, precision, recall, and F1 Score to prove the superiority of the proposed method.

• Journal of Fashion Business
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• v.23 no.2
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• pp.48-61
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• 2019

The objective of this study was to derive a list of creative thinking techniques applied with the requirements of the appropriate technique for the task of fashion design development among the process of fashion product planning. This was done through the analysis of thinking techniques by the type of thinking and idea method. Also, the study presented how each creative thinking technique derived is applied to the task of developing fashion design. The scope of the study was 'Fashion Design Development Task', which corresponds to the design sketch of a fashion item based on the seasonal design concept derived through the fashion design planning stage. Research on the thinking techniques consisted largely of the process of idea thinking, the elements of creative thinking, the patterns and types of thinking. Four studies by Makoto, Michalko, De Bono, and Cox suggesting that the patterns and types of thinking techniques were analyzed for the purpose of this study as empirical studies through FGI of a group of five fashion experts. The analysis results showed that the thinking techniques suitable for the development of fashion design were derived from the technique of fractionation, attributive listing, scamper, morphological analysis, mind mapping, lotus blossom, pattern language, provocative operation, and forced connection. In particular, it can be confirmed that the scamper was treated as an efficient and practical technique in the many studies.

• Journal of Power Electronics
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• v.3 no.2
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• pp.69-80
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• 2003

Computer aided engineering (CAE) is a systematic approach to develop a better product/application with maximum possible options and minimum transition time. This paper presents a comprehensive feasibility analysis of various CAE techniques for evaluation and optimization of power electronic converters and systems. Different CAE methods for analysis, design, and performance improvement are classified. In addition, their advantages compared to the conventional workbench experimental methods are explained in detail and through examples.