• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.1
• /
• pp.387-409
• /
• 2020

Precedents are data containing various types of information. In this study, I proposed a method to be utilized as legal information system for the public using automatic text analysis performed on precedents. It is carried out to analyze the defamation precedent using reference provision, judgment issues, major points of judgment, and reference precedents. As a result of the analysis, legal provisions used in defamation, key issues covered by defamation, and key cases are extracted. Although only applied to the Supreme Court case regarding defamation, the proposed methodology could be applied to various legal topics.

• The Journal of Korean Association of Computer Education
• /
• v.3 no.1
• /
• pp.169-176
• /
• 2000

This paper presents ENIG Agent can gather distributed educational newspaper information in the web as well as provide teachers and student those information for the NIE. ENIG Agent gleans newspaper headline of appropriate educational news portal site for real-time provision of those information. The optimized extraction of headline is performed through the pre-process of educational news site, information noise filtering, pattern matching. The educational newspaper headline information that is gotten through previous process will be shown to students by web-browser. To increase the usage of those information, intelligent education methods and visualized classification techniques are used. By experiment, the performance of this ENIG Agent was evaluated.

• Journal of the East Asian Society of Dietary Life
• /
• v.17 no.3
• /
• pp.456-462
• /
• 2007

Food safety has been a growing consumer concern over the last few decades, and remains a priority for consumers, the food industry, and regulatory agencies alike. Although consumer concern for food safety has increased, consumer confidence has decreased. The emphasis on food safety is related to that of preliminary risk management. The ability to collect and provide food risk information is a key element in enhancing the way food safety authorities protect consumers from risk. This review aims to investigate the current situations of international organizations, as well as several countries' systems for collecting and providing food risk information. Through the comparison and analysis of each system, this review proposes strategies to establish a systematic collecting of information and provision of infrastructure in Korea. To develop an information collection system suited to Korea's situation, it is necessary for Korea to strengthen interactions and cooperation with other trade partners through the enlargement of international networks. Such efforts on food risk communication should be made by providing high quality and clear information.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.10 no.10
• /
• pp.4787-4807
• /
• 2016

Although the dense interconnection datacenter networks (DCNs) (e.g. FatTree) provide multiple paths and high bisection bandwidth for each server pair, the single-path TCP (SPT) and ECMP which are widely used currently neither achieve high bandwidth utilization nor have good load balancing. Due to only one available transmission path, SPT cannot make full use of all available bandwidth, while ECMP's random hashing results in many collisions. In this paper, we present OFPT, an OpenFlow based Parallel Transport framework, which integrates precise routing and scheduling for better load balancing and higher network throughput. By adopting OpenFlow based centralized control mechanism, OFPT computes the optimal path and bandwidth provision for each flow according to the global network view. To guarantee high throughput, OFPT dynamically schedules flows with Seamless Flow Migration Mechanism (SFMM), which can avoid packet loss in flow rerouting. Finally, we test OFPT on Mininet and implement it in a real testbed. The experimental results show that the average network throughput in OFPT is up to 97.5% of bisection bandwidth, which is higher than ECMP by 36%. Besides, OFPT decreases the average flow completion time (AFCT) and achieves better scalability.

• Journal of Korea Multimedia Society
• /
• v.6 no.2
• /
• pp.309-318
• /
• 2003

XML documents are widely used for exchanging information in the distributed computing environment. Here, actual information contained in the document can only be interpreted with the provision of a proper DTD. However, XML documents collected from the web nay not always be accompanied by corresponding DTD, so that it may not be easy to extract information from such sources. In this study, we reverse construct a DTD from DTU-unknown XML sources. We then use the DTD to extract information from XML inputs and to store it into the underlying DB. The DTD construction module developed is designed in such a way that, it scans input XML files in 1-path, where most other implementations use 2-path approach. The information extraction module provides clean Java programming interfaces as well, so that it can be easily integrated with other web applications.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.2
• /
• pp.29-42
• /
• 2019

As online services become more and more popular due to the development of IT, non-face-to-face transactions are continuously increasing rather than face-to-face transactions. The personal identity proofing service(PIPS) based on the alternative method of the resident registration number is used for the purpose of confirming the identity of the other party on the Internet. However, in the case of the current PIPS, the personal information of the PIPS user is excessively provided to the online service provider. As a result, privacy problems of online users, shortage of choice of information providing options, and lack of differentiation of authentication methods are becoming problems. Therefore, this paper proposes a method to improve the PIPS based on the current resident registration number alternative method and to provide a method to differentiate the provision of excessive personal information. In the proposed method, we analyze trends and current status of overseas online PIPS in order to provide a method of providing differentiation of personal information and proposes an effective improvement method applicable to domestic.

• Journal of Information Technology Applications and Management
• /
• v.26 no.1
• /
• pp.39-51
• /
• 2019

As data grows rapidly, the provision of appropriate information needed by individuals has become an area of new services, and customized services which is enabling the analysis of optimal services through collecting, storing, and analyzing personal data are emerging in many fields. However, due to the characteristics of customized services based on various information collected by customers during the use of the service, the problem of privacy infringement is raised at the same time, and many studies are being actively conducted to solve this problem. This study seeks to explore how the customer's in-depth and customized services has an impact on their customers, which has not been derived from quantitative research using the grounded theory methodology. Through this, 84 concepts, 33 subcategories, 13 Categories and paradigm models were derived. In addition, 'Understanding and acceptance of online behavioral advertising (OBA)' was derived as a core category, and finally, acceptance types of OBA were classified into 'positive acceptance type', 'indifferent type', 'calculating type', and 'active resistance type' based on the key categories. This study divides the acceptance types of online behavioral advertising through the emotions and behaviors of the consumers throughout the procedure of online behavioral advertising experiences. In addition to the statistical and quantitative information currently used for providing behavioral advertising, it provides new criteria to reflect the refinement of behavioral advertising and personal tendencies or characteristics.

• ETRI Journal
• /
• v.45 no.2
• /
• pp.240-253
• /
• 2023

Spatial information is geometrical information combined with the properties of an object. In city areas where unmanned aerial vehicle (UAV) usage demand is high, it is necessary to determine the appropriate driving altitude considering the height of buildings for safe driving. In this study, we propose a data-provision method that generates the driving altitude of UAVs with a pseudo-3D building model. The pseudo-3D building model is developed using high-precision spatial information provided by the National Geographic Information Institute. The proposed method generates the driving altitude of the UAV in terms of tile information, including the UAV's starting and arrival points and a straight line between the two points, and provides the data to users. To evaluate the efficacy of the proposed method, UAV driving altitude information was generated using data of 763 551 pseudo-3D buildings in Seoul. Subsequently, the generated driving altitude data of the UAV was verified in AirSim. In addition, the execution time of the proposed method and the calculated driving altitude were analyzed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.5 no.11
• /
• pp.2016-2034
• /
• 2011

Ubiquitous Healthcare (u-Healthcare) is the intelligent delivery of healthcare services to users anytime and anywhere. To provide robust healthcare services, recognition of patient daily life activities is required. Context information in combination with user real-time daily life activities can help in the provision of more personalized services, service suggestions, and changes in system behavior based on user profile for better healthcare services. In this paper, we focus on the intelligent manipulation of activities using the Context-aware Activity Manipulation Engine (CAME) core of the Human Activity Recognition Engine (HARE). The activities are recognized using video-based, wearable sensor-based, and location-based activity recognition engines. An ontology-based activity fusion with subject profile information for personalized system response is achieved. CAME receives real-time low level activities and infers higher level activities, situation analysis, personalized service suggestions, and makes appropriate decisions. A two-phase filtering technique is applied for intelligent processing of information (represented in ontology) and making appropriate decisions based on rules (incorporating expert knowledge). The experimental results for intelligent processing of activity information showed relatively better accuracy. Moreover, CAME is extended with activity filters and T-Box inference that resulted in better accuracy and response time in comparison to initial results of CAME.

• Journal of the Korean Society for information Management
• /
• v.12 no.2
• /
• pp.193-212
• /
• 1995

Do Korean researchers in the field of library and information science really provide practitioners with knowledge and information needed in their efforts to improve library and information services\ulcorner If so, to what degree do the researchers excercise such intellectual leadership in the profession\ulcorner This study is intended to seek answers to these questions. A sample of 589 administrators and librarians working in public, research and university libraries was requested to respond to the questionnaire posted in June of 1995. Data gathered from the responses were analysed to find how, for what purposes, to what degree, and what kinds of, research outputs in the profession practitioners utilize in their provision of services to users.