• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3723-3737
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• 2022

Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.1
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• pp.58-68
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• 1997

In order to provide economic high-quality products to customers in a timely manner, companies have tried much effort to decrease the time period of engineering design and information management. As a part of this effort, we have developed the Drawing Information Management System(DIMS) based ofn GT(Group Technology) that could decrease design processing time by speedy and rational management of design processes. The characteristics of DIMS are as follows: First, the concept of Concurrent Engineering was applied to DIMS. Through LAN, reviewers are able to attach comments to dlectronic documents by anno- tation functions called Mark-up. The reviewer annotations are collected and combind with the original document to revise the documents. Second, we have developed a Classification and Coding(C&C) system suitable for electronic component parts bassed on GT(Group Technology). The C&C system makes both parts and drawing with similar characteriscs into families and helps users search existing documents or create new drawings promptly. Finally, DIMS provides the Engineering BOM(Bill of Material) using the concept of Family BOM based on model options.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.3
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• pp.576-595
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• 2024

Bracelets have enjoyed extensive use among the Chinese since antiquity as decorative pieces credited with warding off evil forces and inviting auspicious fortune. This study aims to integrate traditional cultural elements, such as Yuan blue and white porcelain flower patterns, into modern design using 3D printing technology to create culturally inspired bracelets. To this end, bracelet designs from the top four museums on Taobao were examined. In addition, we analyzed online reviews of culturally themed bracelets using text mining and applying FEA criteria and found that Chinese consumers are easy to wear and sizable, enhance cultural pride, and drive the demand for artistically sophisticated bracelets. The research culminates in the development of a modular bracelet design inspired by flower motifs from blue and white ware of the Yuan dynasty, with an emphasis on iterative improvements based on reviewer feedback. The final design meets consumers' expressive and aesthetic needs while also maintaining cultural integrity and functionality. The aim of the study is to inspire pride in traditional culture, provide insights for fashion accessory industries, and promote the national image through the development of culturally inspired products.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.333-341
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• 2024

The current public survey performance review extracts samples according to the set screening ratio, and examines the extracted samples to determine the suitability or inadequacy of the survey performance. The examiner directly judges the survey performance submitted by the performer, and extracts it in consideration of various field conditions and topography for each subject. However, it is necessary to secure fairness in the examination as it is extracted with different extraction methods for each subject and the judgment of the examiner. Accordingly, in order to automate sampling for public survey performance review, the detailed sampling criteria of the reviewer were investigated to prepare a volume calculation table, and the automation of sampling using Python was studied. In addition, by reviewing items that can and cannot be automated, the application of the automated decision tree algorithm of sampling was reviewed.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.207-218
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• 2020

Recently, due to the increase of online reviews and the development of analysis technology, the interest and demand for online review analysis continues to increase. However, previous studies have not considered the emotions contained in each vocabulary may differ from one reviewer to another. Therefore, this study first classifies the customer group according to the customer's grade, and presents the result of analyzing the difference by performing review analysis for each customer group. We found that the price factor had a significant influence on the evaluation of products for customers with high ratings. On the contrary, in the case of low-grade customers, the degree of correspondence between the contents introduced in the mall and the actual product significantly influenced the evaluation of the product. We expect that the proposed methodology can be effectively used to establish differentiated marketing strategies by identifying factors that affect product evaluation by customer group.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.6
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• pp.552-562
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• 2004

KISTI(Korea Institute of Science and Technology Information) has developed the ${\ulcorner}$KITTI­ACOMS (KISTI-Article COntribution Management System)${\lrcorner}$ as part of the national project for automating the process of processing academic information by societies, in order to convert journals published by academic societies in Korea into an electronic form and make them accessible on the Internet. This system has been developed in the year 2001 and has since been distributed to societies free of charge. The number of societies requesting the service has risen recently, which prompted us to take more recommendations of the societies that adopt this system into account in expanding and standardizing the area of service being provided by the system. This paper will investigate the functions of KISTI-ACOMS constructed for use in the Korean Society of Crop Science and list the functions and requirements for the next system to enhance the on-line paper management system.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.494-512
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• 2010

Recently diversity of research field is emphasized all over the world. Nations with advanced programs in research field keep developing new R&D programs for interdisciplinary studies. These new research atmospheres need objective validity in evaluation process. Peer review is recognized as a best evaluation method for national research and development programs. However, peer review system has restrictive boundary because of its subjectivity of the reviewer. Scientometrics has been developed as an alternative system to peer review. But the effectiveness of quantitative indicators which also has qualitative aspect is rarely analyzed in real program evaluation. In this study, we suggest distribution of marks of peer review and newly developed quantitative review through analyzing deviations between two different reviews in real national R&D program evaluation. Moreover, we could have significant correlation between two review systems in the same case study.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.93-112
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• 2011

For the success of an online retail market, it is important to allow consumers to get more helpful reviews by figuring out the factors determining the helpfulness of online reviews. On the basis of elaboration likelihood model, this study analyzes which factors determine the helpfulness of reviews and how the factors affecting the helpfulness of an online consumer review differ for product price. For this study, 75,226 online consumer reviews were collected from Amazon.com. Furthermore, additional information on review messages was also gathered by carrying out a content analysis on the review messages. This study shows that both of peripheral cues such as review rating and reviewer's credibility and central cues such as word count of review message and the proportion of negative words influence the helpfulness of review. In addition, the result of this study reveals that each consumer focuses on different information sources of reviews depending on the product price.

• Fashion & Textile Research Journal
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• v.18 no.1
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• pp.48-62
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• 2016

Consumers have come to demand high quality, affordable prices, and innovative product designs of the outdoor wear market due to their well-being and leisure oriented lifestyle. A new system of business in outdoor wear has emerged in the process through which corporations have endeavored to satisfy such consumer needs. Outdoor wear brands have utilized social network services (SNS) such as Facebook and Twitter as means of marketing and have built close relations with consumers based on communication through these media. Recently, explosively escalating SNS data are referred to as social big data, and now that every consumer online is a commentator, reviewer, and publisher, the outdoor wear market and all of its brands have to stop talking and start listening to how they are perceived. Therefore, this study employs Social $Metrics^{TM}$, a social big data analysis solution by Daumsoft, Inc., to verify changes in the allusions related to outdoor wear market found on SNS. This study aims to identify changes in consumer perceptions of outdoor wear based on changes in outdoor wear search words and trends in positive and negative public opinion found in SNS social big data. In addition, products of interest, the major brands mentioned, the attributes taken into consideration during purchases of products, and consumers' psychology were categorized and analyzed by means of keywords related to outdoor wear brands found on SNS. The results of this study will provide fundamental resources for outdoor wear brands' market entry and brand strategy implementation in the future.

• Korean Journal of Environment and Ecology
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• v.18 no.4
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• pp.456-464
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• 2004

KISTI(Korea Institute of Science and Technology Information) has developed the $\boxDr$KISTI-ACOMS(KISTI-Article COntribution Management System)$\boxUl$ as part of the national project for automating the process of processing academic information by societies, in order to convert journals published by academic societies in Korea into an electronic from and make them accessible on the Internet. This system was developed in the year 2001 and has since been distributed to societies free of charge. The number of societies requesting the service has risen recently, which prompted us to take more recommendations of the societies that adopt this system into account in expanding and standardizing the area of service being provided by the system. This paper will investigate the functions of KISTI-ACOMS constructed for use in the Korean Society of Environment and Ecology and list the functions and requirements for the next system to enhance the on-line paper management system.