• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.1
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• pp.93-103
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• 2019

Recently, malicious code distribution of ransomware through a web site based on a drive-by-download attack has resulted in service disruptions to the web site and damage to PC files for end users. Therefore, analyzing the characteristics of the target web site industry, distribution time, application type, and type of malicious code that is being exploited can predict and respond to the attacker's attack activities by analyzing the status and trend of malicious code sites. In this paper, we will examine the distribution of malicious codes to 3.43 million websites in Korea to draw out the characteristics of each detected landing site, exploit site, and distribution site, and discuss countermeasures.

• Information Systems Review
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• v.5 no.2
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• pp.91-108
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• 2003

The number of companies which use Internet and Web grow at an explosive rate and most of them made use of the Web sites for business activity such as publicity, advertising, customer support, and online retailing. However, there are very few empirical studies on web sites evaluation based on theoretical framework. The primary purpose of this study is to evaluate motivational effectiveness of Web sites using the WebMAC Business instrument. In this paper, we introduced a lot of Web sites evaluation studies and several IS studies based on the motivation theory. Web sites evaluation was performed by four motivational factors which include stimulating, meaningful, organized, and easy-to-use. There are significant differences among the industry type about motivational factors. This study identifies areas for improvement of existing Web sites and suggests several guidelines for development of Web sites from the user's perspective.

• Journal of the Korea Society for Simulation
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• v.19 no.3
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• pp.99-108
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• 2010

The main contents of this paper is to develope effective measures for Internet Web service attack, classifying vulnerability of Web Service by network layer and host unit and researching classification method by attack range of type of services. Using this paper, we can accumulate analyzed Web service attack information which is key information of promote Web security strengthening business, and basis of relevant security research for detect and response Web site attack which can contribute to activation information security industry.

• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1112-1128
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• 2010

This study aims to know the trace of Korean musical, consider musical depending on its type, arrange characteristic of musical costume and find out the developmental direction of Korean musical costume with potentials as a culture industry. For study method, the data were collected from thesis, academic journal, book and internet web-site concerning musical costume, literatures were considered and performance costume photos, which were captured via musical performance site, were analyzed. The history of Korean modern-day musical is regarded as starting with (1966) in the full scale. Although foreign musical was imitated in 1970s~1980s, it may be called the growth period of Korean musical because the period showed the commercial possibility. Since 1990s, large-scaled musical securing good work and popularity was popular. In 2000s, musical industry was abundant quantitatively and qualitatively as investment or popularity was significantly expanded. The type of Korean musical are divided to opera musical of European, Broadway musical of American and creative musical of Korean. The costumes used in opera musical of European and Broadway musical of American are borrowed from original works through license or were manufactured in Korea by referring to the costumes of original works and using similar materials or fabrics. The costumes used in creative musical of Korea are designed by either domestic or foreign designers and produced in Korea.

• Journal of Digital Contents Society
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• v.2 no.2
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• pp.199-208
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• 2001

The industries of culture contents is the trend to enforce the power of National competitions in the world economy knowledge foundation which tries to exchange a labor industry to the knowledge business. The spread of internet is the apparently turning point to be devide the world economy into the industrial society and the digital society. Also the communication with internet has been recognized as it is not any more newly means of communication in Korea. Net value which is a multinational internet survey corporation clarified that Korea was the most nation in the world by the result of its research in the rate of using internet. This research look into the characteristic of the media and type of the animation in internet, also analysis a need of user and a degree of convenience of using internet in the web of education site. This study is designed to study the evaluation criteria of web interface with visual perception and to seek its development in relation to the quality of visual perception in case of web animation.

• Fashion & Textile Research Journal
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• v.17 no.5
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• pp.731-740
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• 2015

Mobile (smartphone) search engine marketing is increasingly important. Accordingly, the development of visual apparel search technology to obtain easier and faster access to visual information in the apparel field is urgently needed. This study helps establish a proper classifying system for an apparel search after an analysis of search techniques for apparel search applications and existing domestic and overseas apparel sites. An annotation technique is developed in accordance with visual attributes and apparel categories based on collected data obtained by web crawling and apparel images collecting. The categorical composition of apparel is divided into wearing, image and style. The web evaluation site traces the correlations of the apparel category and apparel factors as dependent upon visual attributes. An appraisal team of 10 individuals evaluated 2860 pieces of merchandise images. Data analysis consisted of correlations between apparel, sleeve length and apparel category (based on an average analysis), and correlation between fastener and apparel category (based on an average analysis). The study results can be considered as an epoch-making mobile apparel search system that can contribute to enhancing consumer convenience since it enables an effective search of type, price, distributor, and apparel image by a mobile photographing of the wearing state.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

• 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.

• International Journal of Contents
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• v.7 no.2
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• pp.26-31
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• 2011

People with obesity or over-weight need nutritional intervention to reduce their weight, because weight loss reduces the incidence rate of chronic diseases such as hypertension, type II diabetes, cardiovascular diseases and cancer in obese people. This study was to develop a system for individualized weight control program available both for wired and wireless internet users. This system is especially useful to users carrying wireless internet mobile device. If they input their physical information (height, weight and waist circumference) and mineral levels measured by hair tissue mineral analysis, the system provides evaluation of their health status and metabolic related functions such as endocrine and carbohydrate tolerance. Based on these evaluations, food menus are then offered to them to manage their health status and to improve their metabolic related physiological functions in a personalized way. The system also provides more information for recommended foods, such as nutritional information, food ingredients, recipes, and videos related to cooking. Bibimbap was selected as an example dish for customized contents for mobile web. Bibimbap is one of the most well-known Korean traditional dishes prepared with various kinds of ingredients including several different kinds of vegetables, meat, and egg so that it is a low calorie dish as well as a well-balanced diet. Therefore, this system developed in this study allows the mobile users to access web site through wired wireless internet everywhere and provides a customized content to the users to manage their weight and finally to achieve a desirable weight.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.143-156
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• 2012

People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.