• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.161-180
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• 2022

This study aims to improve the accessibility of websites that can search for online e-journals and check the original text, and the accessibility of web contents in the form of article papers. In order to publish online e-journals in Korea, article contribution management system is used, and services are provided through public or private academic DB companies. There was no content related to accessibility in the publishing and editing stage of online e-journals. In the case of foreign countries, objective to comply with Level AA of WCAG 2.1 to improve accessibility of websites and web content. In addition, the level of accessibility of academic journals is guided through VPAT. In order to improve access to web content in online journals, Accessibility matters are added to the academic society's editorial and publication regulations. Accessibility education should be provided to journal editors. Accessibility checklists should be developed and researchers should verify themselves. To improve the accessibility of online e-journals to websites, For equal use, various convenience functions should be provided when using the website. It guides the accessibility function to the article contribution management system. Each academic and academic DB company should be required to submit a Korean VPAT.

• Journal of KIISE:Computer Systems and Theory
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• v.26 no.12
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• pp.1516-1528
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• 1999

월드 와이드 웹(World Wide Web)에 존재하는 음란성 유해 정보는 많은 국가에서 사회적인 문제를 일으키고 있다. 그러나 현재 음란성 유해 정보로부터 미성년자를 보호하는 실효성 있는 방법은 유해 정보 접근 차단 프로그램을 사용하는 방법뿐이다. 유해 정보 접근 차단 프로그램은 기본적으로 음란성 유해 정보를 포함한 유해 정보 주소 목록을 기반으로 사용자의 유해 정보에 대한 접근을 차단하는 방식으로 동작한다.그런데 대규모 유해 정보 주소 목록의 확보를 위해서는 월드 와이드 웹으로부터 음란성 유해 정보를 자동 색출하는 인터넷 정보 검색 시스템의 일종인 음란성 유해 정보 색출 시스템이 필요하다. 그런데 음란성 유해 정보 색출 시스템은 그 대상이 사람이 아닌 유해 정보 접근 차단 프로그램이기 때문에 일반 인터넷 정보 검색 시스템과는 달리, 대단히 높은 검색 정확성을 유지해야 하고, 유해 정보 접근 차단 프로그램에서 관리가 용이한 검색 목록을 생성해야 하는 요구 사항을 가진다.본 논문에서는 기존 인터넷 정보 검색 모델이 "문헌"에 대한 잘못된 가정 때문에 위 요구사항을 만족시키지 못하고 있음을 지적하고, 월드 와이드 웹 상의 문헌에 대한 새로운 정의와 이를 기반으로 위의 요구사항을 만족하는 검색 모델인 페이지 그룹 검색 모델을 제안한다. 또한 다양한 실험과 분석을 통해 제안하는 모델이 기존 인터넷 정보 검색 모델보다 높은 정확성과 빠른 검색 속도, 그리고 유해 정보 접근 차단 프로그램에서의 관리가 용이한 검색 목록을 생성함을 보인다.Abstract Illegal and Harmful Content on the Internet, especially content for adults causes a social problem in many countries. To protect children from harmful content, A filtering software, which blocks user's access to harmful content based on a blocking list, and harmful content search system, which is a special purpose internet search system to generate the blocking list, are necessary. We found that current internet search models do not satisfy the requirements of the harmful content search system: high accuracy in document analysis, fast search time, and low overhead in the filtering software.In this paper we point out these problems are caused by a mistake in a document definition of the current internet models and propose a new internet search model, Page Group Search Model. This model considers a document as a set of pages that are made for one subject. We suggest a Group Construction algorithm and a Group Evaluation algorithm. And we perform experiments to prove that Page Group Search Model satisfies the requirements.uirements.

• Journal of the Korean Society of Costume
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• v.51 no.3
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• pp.129-139
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• 2001

The purpose of this study is to suggest the standard size specification of the apparel item as finding out apparel products'sizing problem in the domestic and foreign interned shopping malls. Though that, to suggest basic data of web page offered sizing system given to consumer higher satisfaction and based on ISO (International Organization For Standardization), domestic industry standard and service related size. The summarized findings are as follow. 1. The result of size description research, the size description system between internet site were very different, in addition in the department shopping malls it was different by manufacturing industry. Also in domestic and foreign shopping malls, It was not correspond to ISO and domestic industry standard, used Numeric and Alphabetical size. In the foreign shopping mall it distinguish body type and age group. 2. The result of consumer's satisfaction, the superior fashion malls were Samsung, LG, Fashionpia in the domestic shopping mall, were Gap, JCPenny, Jcrew in the foreign shopping malls. In the total group, 1-5 grades were ranked in the foreign shopping malls. 3. Satisfaction of the foreign fashion mall was higher than that of the domestic fashion malls. Exactly, foreign fashion mall described size chart, size description, product size and body size measuring method but domestic fashion malls didn't describe that. Domestic fashion malls need sizing system development given to consumer higher satisfaction. In addition sizing system based on ISO and domestic industry standard and subdivided to body type and ale group must be studied. Aloe, fashion information, coordination information and product explanation must be reinforced.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.43-55
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• 2014

SPDY is the new protocol proposed by Google to complement problems of HTTP(Hypertext Transfer Protocol)/1.1 and to improve web speed. In this paper, we evaluated the performance of SPDY protocol in a variety environment. By this evaluation, we examined the characteristics of the SPDY protocol and compared the differences between the existing protocol and SPDY protocol. And we took a closer look at the Flow Control of SPDY. Through this, we analyzed the problem of SPDY. It improved performance at 3G network environment, but failed to improve performance at high speed WLAN and mobility environments. We also verified that Flow Control does not work well. And finally we proposed directions for improvement of this protocol.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.12
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• pp.297-304
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• 2019

The technological advances such as communication, sensor, and artificial intelligence lead smart factory construction. Smart factory aims at efficient process control by utilizing data from the existing automation process and intelligence technology such as machine learning. As a result of constructing smart factory, productivity increases, but costs increase. Therefore, small companies try to make a step-by-step transition from existing process to smart factory. In this paper, we have proposed a remote control system that support data collection, monitoring, and control for manufacturing equipment to support the construction of CNC cutting machine based small-scale smart factory. We have proposed the structure and design of the proposed system and efficient sensing data transmission scheme. To check the feasibility, the system was implemented for CNC cutting machine and functionality verification was performed. For performance evaluation, the web page access time was measured. The results means that the implemented system is available level.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.411-417
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• 2018

This paper proposes and implements an on-line instruction manual system which can generate the instruction manual page for the target device at the smartphone on the spot. The instruction manual app. on smartphone scans a QR code or reads NFC tag attached in the instruction manual management module embedded in the target device, and receives instruction manual data from the instruction manual management module through the Bluetooth communications and finally shows the refined instruction manual pages on the smartphone display using a Web-based templates. For the evaluation we embedded the instruction manual management module for an industrial generator with its instruction manual data. Assuming a circumstance of blackout we show that the proposed system can reduce the repair work within two steps compared to three steps in the existing one without the proposed system.

• Analytical Science and Technology
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• v.34 no.3
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• pp.99-114
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• 2021

Substance identification is the first step in implementing chemical legislation, such that subsequent hazard and risk assessments can be accurately followed. Based on the web page and related guidance documents of the European Chemicals Agency and available consortia information, the procedure for substance identification carried out in Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) is surveyed. In this study, the importance of substance identification and substance sameness check, as well as the necessity of generating a substance identity profile (SIP) are considered. In addition, the SIPs of several substance types are presented, which focused on information utilization in the instrumental analysis results and organization of information to generate the SIP. Analytical science can contribute to the accurate and effective implementation of chemical regulation at the starting stage of substance identification. However, understanding of the regulation and consequent final wrap-up of analytical results as a SIP should be followed for communication among registrants in Substance Information Exchange Forum (SIEF) as well as with related authorities.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.123-136
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• 2014

Recently, online shopping has further developed as the use of the Internet and a variety of smart mobile devices becomes more prevalent. The increase in the scale of such shopping has led to the creation of many Internet shopping malls. Consequently, there is a tendency for increasingly fierce competition among online retailers, and as a result, many Internet shopping malls are making significant attempts to attract online users to their sites. One such attempt is keyword marketing, whereby a retail site pays a fee to expose its link to potential customers when they insert a specific keyword on an Internet portal site. The price related to each keyword is generally estimated by the keyword's frequency of appearance. However, it is widely accepted that the price of keywords cannot be based solely on their frequency because many keywords may appear frequently but have little relationship to shopping. This implies that it is unreasonable for an online shopping mall to spend a great deal on some keywords simply because people frequently use them. Therefore, from the perspective of shopping malls, a specialized process is required to extract meaningful keywords. Further, the demand for automating this extraction process is increasing because of the drive to improve online sales performance. In this study, we propose a methodology that can automatically extract only shopping-related keywords from the entire set of search keywords used on portal sites. We define a shopping-related keyword as a keyword that is used directly before shopping behaviors. In other words, only search keywords that direct the search results page to shopping-related pages are extracted from among the entire set of search keywords. A comparison is then made between the extracted keywords' rankings and the rankings of the entire set of search keywords. Two types of data are used in our study's experiment: web browsing history from July 1, 2012 to June 30, 2013, and site information. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The original sample dataset contains 150 million transaction logs. First, portal sites are selected, and search keywords in those sites are extracted. Search keywords can be easily extracted by simple parsing. The extracted keywords are ranked according to their frequency. The experiment uses approximately 3.9 million search results from Korea's largest search portal site. As a result, a total of 344,822 search keywords were extracted. Next, by using web browsing history and site information, the shopping-related keywords were taken from the entire set of search keywords. As a result, we obtained 4,709 shopping-related keywords. For performance evaluation, we compared the hit ratios of all the search keywords with the shopping-related keywords. To achieve this, we extracted 80,298 search keywords from several Internet shopping malls and then chose the top 1,000 keywords as a set of true shopping keywords. We measured precision, recall, and F-scores of the entire amount of keywords and the shopping-related keywords. The F-Score was formulated by calculating the harmonic mean of precision and recall. The precision, recall, and F-score of shopping-related keywords derived by the proposed methodology were revealed to be higher than those of the entire number of keywords. This study proposes a scheme that is able to obtain shopping-related keywords in a relatively simple manner. We could easily extract shopping-related keywords simply by examining transactions whose next visit is a shopping mall. The resultant shopping-related keyword set is expected to be a useful asset for many shopping malls that participate in keyword marketing. Moreover, the proposed methodology can be easily applied to the construction of special area-related keywords as well as shopping-related ones.

• Archives of design research
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• v.16 no.2
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• pp.161-170
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• 2003

This study aims to understanding the effects of culture on websites with emphasis on the website structure and navigation. The website is inherently‘cultural’because anyone around the world can access to website if he or she is equipped with appropriate equipment. For the importance of cultural role in website, various researches have been conducted to understand the relationship between culture and website. However they tended to focus mainly on phenomenal matters such as color, layout, icon etc. There have been not so many thorough attempts to causal relationships between website and‘thick culture’in depth. The study conducted cross-cultural usability testing of websites between Korea and America. At first, representative I-commerce websites of Korea and America were selected and they were analyzed by the selected frameworks such as layout, display type, element type, and the relationship with homepage and sub-page navigation. The results were used to construct typical prototypes of website for Korea and America for experiment. Two websites were used for cross-cultural usability testing though specially-developed remote testing. 20 users from each country participated in the usability testing. The result shows that Korean users peformed better usability testing for Korean style structure of website while American counterparts showed better performances in American style of websites. Other various significant findings were revealed.

• Journal of Advanced Navigation Technology
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• v.16 no.5
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• pp.864-870
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• 2012

Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.