• The KIPS Transactions:PartD
• /
• v.16D no.1
• /
• pp.123-132
• /
• 2009

Even support-and-management efforts by government are enforced with the growing international restrictions for complying with global standard, not a few private enterprises are still suffering software management problems from lack of understanding the software asset management and carelessness of the software management. This is due to the ambiguous scope of software asset management as well as characteristics of software property such as invisibility, easiness of copy and installation. In other words, it is not easy for software managers to comply all the information throughout the software life cycle; from purchasing, procurement. distribution, preservation to disposition. Therefore, Inspector which has been developed for resolving these problems are proposed in this study. The inspection service consists of search algorithms adapted for software characteristics, standardization of software right management information, and practical use of registry information. Inspection time for a PC by using inspector make the inspection time much shorter. It is also shown that effective software management enables the enterprise to curtail software acquisition cost and to help rationalizing its business management.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.9
• /
• pp.1771-1780
• /
• 2007

The necessity of Information integration has emphasized by advancement of internet and change of enterprise environment. In enterprises, it usually integrates the multi-database constructing by M&A. For this integration of information it must guarantee interpretation and integration which is stabilized with solving heterogeneous characteristic problem. In this paper, we propose the method that change the global XML query to local XML query for interpretation. It is based on XMDR(eXtended Meta-Data Registry) which expresses the connection between the standard and the local for solve the interoperability problem in heterogeneous environment. Thus, we propose the legacy model that can search and modify by one Query with creating global XML Query by XMDR. and for his, we use the 2PC technique which is the distributed transaction control technique of existing.

• Journal of Digital Convergence
• /
• v.17 no.11
• /
• pp.233-240
• /
• 2019

In order to predict and respond to cyber attacks, a number of security companies quickly identify the methods, types and characteristics of attack techniques and are publishing Security Intelligence Reports(SIRs) on them. However, the SIRs distributed by each company are huge and unstructured. In this paper, we propose a framework that uses five analytic techniques to formulate a report and extract key information in order to reduce the time required to extract information on large unstructured SIRs efficiently. Since the SIRs data do not have the correct answer label, we propose four analysis techniques, Keyword Extraction, Topic Modeling, Summarization, and Document Similarity, through Unsupervised Learning. Finally, has built the data to extract threat information from SIRs, analysis applies to the Named Entity Recognition (NER) technology to recognize the words belonging to the IP, Domain/URL, Hash, Malware and determine if the word belongs to which type We propose a framework that applies a total of five analysis techniques, including technology.

• Journal of Platform Technology
• /
• v.8 no.4
• /
• pp.38-46
• /
• 2020

This study describes how to build a security control system using an open source big data solution so that private companies can build an overall security control infrastructure. In particular, the infrastructure was built using the Elastic Stack, one of the free open source big data analysis solutions, as a way to shorten the cost and development time when building a security control system. A comparative experiment was conducted. In addition, as a result of comparing and analyzing the functions, convenience, service and technical support of the two solution, it was found that the Elastic Stack has advantages in the security control of Big Data in terms of community and open solution. Using the Elastic Stack, security logs were collected, analyzed, and visualized step by step to create a dashboard, input large logs, and measure the search speed. Through this, we discovered the possibility of the Elastic Stack as a big data analysis solution that could replace Splunk.

• Journal of Intelligence and Information Systems
• /
• v.21 no.4
• /
• pp.37-51
• /
• 2015

Due to the development of internet technology and the rapid increase of internet data, various studies are actively conducted on how to use and analyze internet data for various purposes. In particular, in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of the current application of structured data. Especially, there are various studies on sentimental analysis to score opinions based on the distribution of polarity such as positivity or negativity of vocabularies or sentences of the texts in documents. As a part of such studies, this study tries to predict ups and downs of stock prices of companies by performing sentimental analysis on news contexts of the particular companies in the Internet. A variety of news on companies is produced online by different economic agents, and it is diffused quickly and accessed easily in the Internet. So, based on inefficient market hypothesis, we can expect that news information of an individual company can be used to predict the fluctuations of stock prices of the company if we apply proper data analysis techniques. However, as the areas of corporate management activity are different, an analysis considering characteristics of each company is required in the analysis of text data based on machine-learning. In addition, since the news including positive or negative information on certain companies have various impacts on other companies or industry fields, an analysis for the prediction of the stock price of each company is necessary. Therefore, this study attempted to predict changes in the stock prices of the individual companies that applied a sentimental analysis of the online news data. Accordingly, this study chose top company in KOSPI 200 as the subjects of the analysis, and collected and analyzed online news data by each company produced for two years on a representative domestic search portal service, Naver. In addition, considering the differences in the meanings of vocabularies for each of the certain economic subjects, it aims to improve performance by building up a lexicon for each individual company and applying that to an analysis. As a result of the analysis, the accuracy of the prediction by each company are different, and the prediction accurate rate turned out to be 56% on average. Comparing the accuracy of the prediction of stock prices on industry sectors, 'energy/chemical', 'consumer goods for living' and 'consumer discretionary' showed a relatively higher accuracy of the prediction of stock prices than other industries, while it was found that the sectors such as 'information technology' and 'shipbuilding/transportation' industry had lower accuracy of prediction. The number of the representative companies in each industry collected was five each, so it is somewhat difficult to generalize, but it could be confirmed that there was a difference in the accuracy of the prediction of stock prices depending on industry sectors. In addition, at the individual company level, the companies such as 'Kangwon Land', 'KT & G' and 'SK Innovation' showed a relatively higher prediction accuracy as compared to other companies, while it showed that the companies such as 'Young Poong', 'LG', 'Samsung Life Insurance', and 'Doosan' had a low prediction accuracy of less than 50%. In this paper, we performed an analysis of the share price performance relative to the prediction of individual companies through the vocabulary of pre-built company to take advantage of the online news information. In this paper, we aim to improve performance of the stock prices prediction, applying online news information, through the stock price prediction of individual companies. Based on this, in the future, it will be possible to find ways to increase the stock price prediction accuracy by complementing the problem of unnecessary words that are added to the sentiment dictionary.

• Journal of Industrial Convergence
• /
• v.21 no.6
• /
• pp.43-51
• /
• 2023

This study analyzed the patent status of the outdoor exercise equipment used primarily by the elderly. The purpose is to utilize the basic data obtained to promote the health of the elderly. The information on the patent was collected from KIPRIS, an information search service provided by the Korean Intellectual Property Office. The search term used was 'outdoor exercise equipment', directly related patents were selected, and a final 157 were analyzed. As a result of the analysis, first, patent registration began in 2007, and 2-3 patents were registered on average every year. Second, patents from the perspective of sports convergence that provide an exercise prescription system using wireless communication, such as the ability to generate electricity by operating a power generation module, providing information on the user's exercise amount, or preventing the loss and theft of weights and safety accidents due to their characteristics, were searched for. Lastly, patents related to exercise equipment that can provide user convenience and increase the frequency of use of exercise equipment were searched. The results of this study confirmed that outdoor exercise equipment is being developed more for the elderly and their convenience, and that companies and public institutions are showing increased interest in outdoor exercise equipment for the elderly. In addition to patent trends analysis, follow-up research in connection with exercise programs using outdoor exercise equipment is needed to develop practical and convenient outdoor exercise equipment in the future.

• Proceedings of the KOR-KST Conference
• /
• 1995.05b
• /
• pp.202-230
• /
• 1995

0 동북아지역 경제의 급속한 성장과 남북경제교류 활성화로 수송 부문의 발달이 중요성을 더해 가고 있슴 0 그러나 지금까지 남북철도 연결에 관한 논의는 통일 후의 방안 만 고려되었을 뿐, 통일 전 남북철도 연결을 목표로 하는 구체 적 전략이 부재하였고, 특히 해운과의 경쟁력 비교시 철도시스 템에 대한 이해부족이 지적됨 0 남북 및 대륙연결 최적 철도망을 구축하기 위해서는 다음과 같 은 접근 방안이 효과적임 - 남북 철도연결은 순수 경제적 관점에서, 민간기업이 주체가 되어, 중국철도 등을 중개자로 하여 사업을 추진 - 단계적이며 실용적 접근전략에 따라, 1단계로는 경의선 만을 연결하고, 여객취급을 배제하며, 컨테이너 수송만으로 시작하다가, 광물자원 수송 등 확대 - 초기에는 남북간 수송보다는 한국과 중국 . 러시아 간의 컨테 이너 통과수송 취급에 중점 (북한의 수송수입 강조) - 경의선을 따라 남북 군사분계선 근처에 각측의 경계역을 만들 고, 상대촉 파견관의 검색 및 언수에 따라 열차가 휴전선을 통과하여, 반대펀 경계역에 이르면 기관차 및 승무원을 교체 하며, 화차는 일정 기간 이내 되돌려주는 방식 채택으로 남북 철도 시스댐 차이에 따른 기술적 문제 해소 0 대륙철도의 이용은 동북아 권역내 수송에 중점을 두되, E ESCAP의 활동에 따라 TCR,TSR을 이 용한 유럽 및 중동으로 의 수송도 추진하며, 남북 철도연결 추진과 병행하여 열차페리의 도입에 의한 철도- 해운 복합수송 방식의 활성화를 적극 검토활 것이 필요함

• Journal of the Korean Society for information Management
• /
• v.31 no.3
• /
• pp.293-311
• /
• 2014

This study explored the research trends on Twitter in Korea by informetric methods. All 539 articles on Twitter published from 2009 to the April of 2014 were obtained from the KCI. Only article titles, abstracts, and keywords by authors were used in analysis. Academic journals in many different disciplines where Twitter articles were produced were analysed by profiling, and then, the subject areas of researches on Twitter were analysed by co-word analysis. The results of this study showed that Twitter-related papers were published in as many as 53 disciplines with journalism, business administration, and computer science to be core fields. It was also found that the core subject areas are political issues and business.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.3
• /
• pp.397-406
• /
• 2001

According to e-business has been used commonly, many companies do e-business deal for B2B, B2C, etc based on internet. To support web-based e-business, companies must construct the homepage and shopping-mall that is able to advertise a publicity work about their companies to customer. In this paper, we classified the components used in the homepage and shopping-mall development about e-business and designed a management system for supporting environment that is searched, updated, edited, etc. For an application example, we analyzed a purchasing process of products by domain analysis and abstracted the components needed. Because this component management system manages components efficiently, it will come in pretty handy in web-based system development.

• Journal of the Korean Society for information Management
• /
• v.24 no.4
• /
• pp.191-221
• /
• 2007

The goal of this study was to examine the relationships between usability and the searching experience, and to uncover where an integrated cataloging and metadata system lay the usability problems of its primary users, catalogers. This study showed that the most important aspect of usability in Connexion lay in the experience of information retrieval system. Also, it showed there are seventeen usability problems to be improved in Connexion. Needless to say, it is most important to note that usability is not an exclusive goal of such an integrated cataloging and metadata system. Other goals such as quality of catalogs, and the reliability of its cataloging and metadata system are equally its concern. This study also suggested more testing on diverse cataloging systems and specific user groups, especially catalogers.