• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.25-32
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• 2020

Data on patent and scientific paper is considered as a useful information source for analyzing technological information and has been widely utilized. Technology big data is analyzed in various ways to identify the latest technological trends and predict future promising technologies. Clustering is one of the ways to discover new features by creating groups from technology big data. Patent includes refined bibliographic information such as patent classification code whereas scientific paper does not have appropriate bibliographic information for clustering. This research proposes a new approach for clustering data of scientific paper by utilizing reference titles in each scientific paper. In this approach, the reference titles are considered as textual information because each reference consists of the title of the paper that represents the core content of the paper. We collected the scientific paper data, extracted the title of the reference, and conducted clustering by measuring the text-based similarity. The results from the proposed approach are compared with the results using existing methodologies that one is the approach utilizing textual information from titles and abstracts and the other one is a citation-based approach. The suggested approach in this paper shows statistically significant difference compared to the existing approaches and it shows better clustering performance. The proposed approach will be considered as a useful method for clustering scientific papers.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.313-320
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• 2017

Price fluctuation contract is imperative and of paramount essence in the construction industry as it provides adequate relief and cushioning for changes in the prices of input resources during construction. As a result, several methods have been devised to better help in arriving at fair recompense in the event of price chang es. However, stakeholders often appear not to be satisfied with the existing methods of fluctuation evaluation, ostensibly because of the challenges associated with them. The aim of this study was to identify the challenges to usage of building construction cost indices in Ghana. Data was gathered from contractors and quantity surveying firms. The study utilized survey questionnaire approach to elicit responses from the contractors and the consultants. Data gathered was analyzed scientifically, using the Relative Importance Index (RII) to rank the problems associated with the existing methods. The findings revealed the following among others; late release of data; inadequate recovery of costs; and work items of interest not included in the published indices as the main challenges of the existing methods. This study will provide useful lessons for policy makers and practitioners in decision making towards the usage and improvement of available indices.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.1-10
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• 2011

Our country does not currently have a concrete policy for the management and preservation of the scientific dataset on the national level. The scientists and the research groups that are implementing a research project are not capable of searching or sharing the information about the dataset. In this situation where there is a major increase in the number of researches that use digitalized dataset, being able to share and reuse the scientific data amongst researchers is recognized to be very important. Therefore our country needs a new formulated policy that manages scientific data on the national level. This paper helps to find the implications of the strategic planning in our country by analyzing previous advanced case studies done by foreign countries. We selected Australia as our subject because its intensive government-driven research environment, research infrastructure and information service are very similar to Korea. To be specific, we analyzed ANDS (Australian National Data Service) and drew out the implications that could be applied to our country also. And finally we propose the basic principles that needs to be mirrored when formulating a policy on our country's scientific data.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.2
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• pp.47-53
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• 2019

The development of the aviation industry and the changes in the military operation mission environment are demanding more long - distance operation (long - time flight), and such a flying environment is a risk factor for fatigue - related accidents. For the aviation related organizations such as ICAO and FAA, fatigue risk management system (FRMS) are applied along with flight time restriction regulations to prevent fatigue related accidents. The most important process in FRMS is fatigue risk management. Fatigue risk management systematically manages fatigue through scientific fatigue risk data collection and fatigue risk assessment. The purpose of this study is to applicate the assessment of scientific fatigue risk management to pilots of airplanes engaged in long flight. We reviewed the current state of risk management and FRMS through previous research. We also developed fatigue risk management indicators and examined the validity of internationally recognized fatigue risk data collection methods and fatigue risk assessment tools. There are 134 mission (flight) data used for development. In order to verify the indicators, the fatigue risk score between the items was assigned through pair-wise comparison. In addition, the verify test results were normalized.

• Journal of Information Management
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• v.43 no.3
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• pp.97-115
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• 2012

This paper derives determining factor for the management of oceanographic data in two ways. 1) The type of oceanographic observation and the raw data which were collected from marine physics, marine chemistry, marine biology, marine geology area were analyzed. 2) The services of the KODC(Korea Oceangraphic Data Center), NFRDI(National Fisheries Research & Development Institute), KHOA(Korea Hydrographic and Oceanographic Administration) were analyzed to derive metadata elements for retrieval. After analyze, the 42 deciding factor were derived in the 9 areas (general, Observer, satellites, observation instruments, observatories, space, information, projects, and observational data, data processing).

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.213-222
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• 2009

Two functions are considerable in the record management of policy management system operation. The first one is to prove that shows the conforming status of the management system requirements. The second one is to prove that shows the performing status whether the policy management system is operating effectively to the company. However, the second function requires the high level data analysis techniques, and it is more important for the decision making of the company operations. That is, the second function is more closer than the first function to the top manager's policy management tool. This paper is prepared to offer a study on the desirable record management which is necessary to the scientific decision making process. The scientific decision making requires the analysis of data derived from the reliable records. It is also aimed to enlighten the relations between the reliability of records and the adoption of the results of analysis in associated with the top manager's decision making.

• Korean Security Journal
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• no.5
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• pp.109-130
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• 2002

As proceeding Munmin and Kukmin's government, it is to bring in regionalism of genernal public administration and police administration, specialization, efficiency issue, demand inventing of audit technique to meet this trends. Especially, according to supporting qualitative improvement of the audit, its environment faced that orienting performance audit emphasis on not the legality but the efficiency more systematic and scientific theory or technique. In order to attain police audit's efficiency through performance audit, this study discussed that scientific management techniques should be applied police audit. Accordingly, the primary purpose of this study is to apply public audit to scientific management technique, bring to light limits in public sector(especially, police sector). To be efficiency audit(namely, performance audit), 1) OR techniques are explained linear programming, network modeling, PERT/CPM, queuing matrix model, simulation, 2) Statistical analysis methods are argued delphi technique, data envelopment analysis(DEA), analytic hierarchical process(AHP), time series analysis models etc.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.19-27
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• 2010

Historical archived traffic data management system enables a long term time-series analysis and provides data necessary to acquire the constantly changing traffic conditions and to evaluate and analyze various traffic related strategies and policies. Such features are provided by maintaining highly reliable traffic data through scientific and systematic management. Now, the management systems for massive traffic data have a several problems such as, the storing and management methods of a large volume of archive data. In this paper, we describe how to storing and management for the massive traffic data and, we propose methodology for logical and physical architecture, collecting and storing, database design and implementation, process design of massive traffic data.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.117-126
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• 2017

As the recent research environment and research paradigm have become data-driven, Open Science, based on openness and sharing of public research results, has emerged as a global agenda for scientific research. National policies for sharing and re-use of research data from publicly-funded research are in effect globally. Therefore, in Korea, it is urgent to build policies and infrastructure for sharing and re-use of research data. In this paper, we investigate the current status of research data management of science and technology research institutes in Korea. We conducted in-depth interviews with researchers from 22 research institutes belonging to the National Research Council of Science & Technology, and 20 universities in Korea, asking about terms of creation management utilization of research data, willingness to share data, and needs for sharing and re-use of research data. From these interviews, we drew implications for open research data and future directions.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.4
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• pp.131-149
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• 2003

Scientific/technical data whose reliability is authorized have to include physical/chemical constants, authorized property value or authorized scientific statistical values so that the scientists in the same field use them continuously and repeatedly for their research. The data also have to be managed as Standard Reference Data that will be used in other area nationwide by analyzing, evaluating and authorizing the accuracy and reliability of the information with scientific methods. This study suggests a plan for establishing the National Center for Standard Reference Data as well as a necessity for managing the data produced in research process as a national Standard Reference Data. Also, a prototype of research information system for measurement standards is developed and described in detail for research information for measurement standard to be used as a reference data, then a plan to managing national reference data is suggested, in addition.