• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.17-39
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• 2006

Building institutional repositories is known as one of powerful methods for realizing the open access movement. The Korean Education and Research Information Service(KERIS) proposed to organize institutional repositories into a consortium, called 'dCollection (Digital Collection),' composed of 62 universities since 2003. The purpose of this study is to investigate the current state of 40 member universities of dCollection using the evaluation model including 4 categories and 39 indicators , and, based on the survey outcomes, to pinpoint the procedural or performance weak points of the dCollection systems in order to find its customized solutions focusing on the improvement of use and self-archiving rates.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3501-3518
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• 2020

The method of DNS data collection is one of the most important parts of DNS simulation. DNS data contains a lot of information. When it comes to analyzing the DNS security issues by simulation on the cyber range with customized features, we only need some of them, such as IP address, domain name information, etc. Therefore, the data we need are supposed to be light-weighted and easy to manipulate. Many researchers have designed different schemes to obtain their datasets, such as LDplayer and Thales system. However, existing solutions consume excessive computational resources, which are not necessary for DNS security simulation. In this paper, we propose a light-weighted active data collection method to prepare the datasets for DNS simulation on cyber range. We evaluate the performance of the method and prove that it can collect DNS data in a short time and store the collected data at a lower storage cost. In addition, we give two examples to illustrate how our method can be used in a variety of applications.

• Journal of Practical Agriculture & Fisheries Research
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• v.26 no.2
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• pp.14-24
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• 2024

To enhance the usability of smart agriculture, methods for utilizing smart farm data are required. Therefore, this study proposes a scheme for utilizing regional smart farm data by linking it to services. The current status of domestic and foreign smart farm data collection and linkage services is analyzed. To collect and link regional smart farm data, necessary data collection, data cleaning, data storage structure and schema, and data storage and linkage systems are proposed. Based on the standards currently being implemented for regional smart farm internal data storage, a farm schema, environmental information schema, facility control information schema, and growth information schema are designed by extending the crop schema and crop main environmental factor information database schema. A data collection and management system structure based on the Hadoop Ecosystem is designed for data collection and management at regional smart farm data centers. Strategies are proposed for utilizing regional smart farm data to provide smart farm productivity improvement and revenue optimization services, image-based crop analysis services, and virtual reality-based smart farm simulation services.

• Resources Recycling
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• v.19 no.1
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• pp.49-56
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• 2010

This paper has specific objective to contribute in improving recycling ratio and settling down strategic reverse management for waste recycling. To serve in such intention, focused in investigating technological issue and suggesting executive idea. Binding thus, technological tendency and global patent, study case were analyzed mainly in fields of waste recycling system based on incentives, waste automatic collection system using RFID, waste management information system. Descriptions are consisted of tendency for technology, government policy, case analysis, discussion, conclusion.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.10
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• pp.1337-1346
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• 2014

Power system technologies in the area of smart grid are being converged with communication system technologies or information technologies(IT). This interdisciplinary action affects on two parts vigorously so that IT has become a essential part of power industry. But terminologies of two parts are confused and it is necessary that these are standardized to develop the industry. The writing system of the Open Korean Knowledge Dictionary for standardization of smart grid terminologies which are IEC TC 57 glossary and non-glossary is proposed. The writing system includes the process of collection, writing guideline and standardization of terminologies. Writing results of 90,000 terminologies for electricity, communication and computer fields including smart grid terminologies, which are registered in the Open Korean Knowledge Dictionary, are shown. The system provides the capability of collection and delivery of academic society opinions for the selected and interpreted terminologies through the internet for standardization and industry propagation of smart grid terminologies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.109-110
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• 2011

Because contemporary rolling stock system is complex and highly advanced, and it builds mutual interface, it is necessary to manage maintenance of rolling stock systematically. This study present a case, which shows how to adopt and apply RTD(Remote Transmission Device) integrated to train information collection device. After the train service is complete and the train enters the main subway station, various kinds of information collected from TCMS(Train Control Monitoring System) is transmitted to train depot information collection device through RTD. This study suggests that RTD integrated to train information collection device helps build an effective rolling stock maintenance system by improving reliability of data transmission and cutting maintenance costs.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.2
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• pp.45-58
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• 2009

Due to the advent of knowledge-based society and digital environment, libraries especially national libraries are undergoing a transformation and the new concepts, processes and tools for collection development as the heart of libraries are evolving. The purpose of this paper is to propose the direction of hybrid resources development for ensuring sustainable collection and preservation of resources in national libraries. Accordingly, this paper looks about a transformation of national libraries and collection development, and investigates the coverage of national collections based positioning of national libraries through performance indicators in standard, definitions, purposes and missions. It also proposes legal deposit methods of digital resources through the law related library and investigates archiving method of online digital resources including hybrid collection development system in national libraries.

• Journal of Korea Multimedia Society
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• v.7 no.1
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• pp.35-43
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• 2004

In this paper, we proposed a vehicle recognition and electronic toll collection system with detection and classification of vehicle identification mark and emblem as well as recognition of vehicle license plate to unman toll fee collection system or incoming/outcoming vehicles to an institution. In the proposed algorithm, we first process pre-processing step such as noise reduction and thinning from the rear side input image of vehicle and detect vehicle mark, emblem and license plate region using intensity variation informations, template masking and labeling operation. And then, we classify the detected vehicle features regions into vehicle mark and emblem as well as recognize characters and numbers of vehicle license plate using hybrid and seven segment pattern vector. To show the efficiency of the proposed algorithm, we tested it on real vehicle images of implemented vehicle recognition system in highway toll gate and found that the proposed method shows good feature detection/classification performance regardless of irregular environment conditions as well as noise, size, and location of vehicles. And also, the proposed algorithm may be utilized for catching criminal vehicles, unmanned toll collection system, and unmanned checking incoming/outcoming vehicles to an institution.

• Journal of the Korean Regional Science Association
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• v.8 no.1
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• pp.99-118
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• 1992

In spite of the rapid development of information and computer technology, the software side of those technologies has not been well studied especially in the area of regional planning. Throughout this study we identified some critical facts as below: 1) the necessity of region-specific information which is vital for urban and regional development, 2) the necessity of integration of information system into a regional unit rather than setoral unit, 3) aggravated regional inequality through the spread of communication and computing tools, and 4) advanced regional information system linking satellite and graphic computers in developed countries. From these facts, we recommend some policy directions as below: 1) It is desperately needed to establish a regional information center covering large administrative area. 2) In establishing these system, we can utilize existing communication network or estblish a brand new system. Utilization of existing administrative network and board of statistics for data collection and management, and the utilization of postal office or telephone company for distribution are recommended through the evaluation of those two alternatives, 3) It is also recommended that one-step data collection system should be established. 4) The Dat Base should be organized in many steps in close relationship with development goal and planning process. In order to make most use of this system, we need to develop a monitoring system, regional indicators and ex-ante impact studies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.577-578
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• 2021

Recently, artificial intelligence systems are being used in various fields. The accuracy of the decision algorithm of artificial intelligence is greatly affected by the amount of learning and the accuracy of the learning data. In the case of the amount of learning, a large amount of data is required because it has a decisive effect on the performance of AI. In this paper, we propose a data collection system for constructing a system that analyzes future conditions and changes in infants' conditions based on the body temperature data of infants and toddlers. The proposed system is a system that collects and transmits data, and it is believed that it can minimize the resource consumption of the server system in existing big data analysis and training data construction.