• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.1-14
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• 2009

A currently domestic governmental R&D business is early to 100. And this is each managed individually in 15 professional organizations of research and management by characteristics of a business. For this Reason, A redundant investment issue regarding national R&D occurs, and an issue regarding efficiency of R&D investment by insufficiency of systematic R&D research project and result management is continuously raised. Ministry of Education Science and Technology establishing National Science & Technology Information Service(NTIS) in order to solve these issues. NTIS is the national R&D Portal System which can support efficiency of research and development to result utilization in planning of national research and development. In this paper We consider integrated DB constructions and Information Linking of R&D Participants/Projects/Results information in a NTIS system for data quality Improvement. and then We analyze the cause of the data quality problem, and we propose the improvement plan for data quality elevation of NTIS system.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.77-98
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• 2023

Large Language Models (LLMs) are becoming the major trend in the natural language processing field. These models were built based on research data, but information such as types, limitations, and risks of using research data are unknown. This research would present how to analyze and evaluate the LLMs that were built with research data: LLaMA or LLaMA base models such as Alpaca of Stanford, Vicuna of the large model systems organization, and ChatGPT from OpenAI from the perspective of research data. This quality evaluation focuses on the validity, functionality, and reliability of Data Quality Management (DQM). Furthermore, we adopted the Holistic Evaluation of Language Models (HELM) to understand its evaluation criteria and then discussed its limitations. This study presents quality evaluation criteria for LLMs using research data and future development directions.

• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.90-112
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• 1996

Research issues in software engineering in recent may be object oriented methodology and software quality. Since Halstead has proposed metric-software science in 1977, software quality area has been studied in steady but inactively until 1980s. As international standards such as ISO 9000-3, 9126 were enacted in 1990s early, interest in software quality is increased but many problems such as how to validate metric, measure quality or apply metric are remained. This paper proposes software quality metric methodology which software developer or project manager can use in measuring quality and validating metric during software development. The methodology is classified by several phases: establishment of quality requirement, identification of quality metric, data collection, metric implementation, metric validation. In order to show its applicability, test program, metrics and data are applied to each phase of the methodology. Consideration of this methodology as a methodology for software quality measurement similar to development methodology for software development is needed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.127-134
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• 2011

Recently, the wireless data communication infrastructure appearing before the footlights crosses the limit in the wire and develop into the fast speed. Particularly, the issue about the u-Healthcare service using this increases. And the investigation of the quality guarantee of the wireless data network is important for the smooth service providing. However, the quality control research about the wireless network is insufficient because the existing research performs the quality control between the termination about the wired network continually. This paper presented the mobile service quality measurement reference considering the radio environment,that is the method for satisfying the quality guarantee of the wireless data network user offered the u-Healthcare service as the research about this and user needs. For this purpose, wireless data quality measurement indicator and standard was selected. The quality measure evaluation plan was presented according to the service. And each service presented the quality index especially.

• Journal of Korean Society on Water Environment
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• v.28 no.3
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• pp.426-435
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• 2012

The variation of stream flow is the one of the most important factors which influence on that of water quality in the unit watershed. The target water quality goal is established and permissible load is allotted in the base of the standard flow condition along with its water quality for the management of Total Maximum Daily Loads (TMDLs). A standard flow selected could cause problems in the load allotment if it was not properly arranged. This study reviewed the acquisition of water quality data, the self-variation and the retainability in water quality on the specific flow conditions. This study also proposed the median and the adjusted average flow condition out of general flow conditions as alternative standard flow conditions. It is considered that the alternatives can make the water quality data easily acquired and the water quality representativeness more enhanced on the standard flow conditions.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.132-134
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• 1999

Rainfall characteristics for designing the optimum millimeter-wave communication systems from two rainfall data set was analyzed. Two rainfall data sets were compared; one-minute rainfall rate data, one-hour synoptic observation data. Each data set has different observation method, sampling frequency. We looked for tendency and quality confluence between two data sets. We showed several results using one-minute rainfall data by millimeter-wave attenuation model. A climatological one-minute rainfall rate data set over Korean Peninsula will be made after data quality control procedure

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.197-214
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• 2017

This study sheds light on the source data quality in big data systems. Previous studies about big data success have called for future research and further examination of the quality factors and the importance of source data. This study extracted the quality factors of source data from the user's viewpoint and empirically tested the effects of source data quality on the usefulness and utilization of big data analytics results. Based on the previous researches and focus group evaluation, four quality factors have been established such as accuracy, completeness, timeliness and consistency. After setting up 11 hypotheses on how the quality of the source data contributes to the usefulness, utilization, and ongoing use of the big data analytics results, e-mail survey was conducted at a level of independent department using big data in domestic firms. The results of the hypothetical review identified the characteristics and impact of the source data quality in the big data systems and drew some meaningful findings about big data characteristics.

• Journal of Korean Society for Quality Management
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• v.51 no.1
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• pp.37-54
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• 2023

Purpose: A main aims are to check the level of satisfaction of service quality and derive service quality factors in the field of defense quality assurance activities that need improvement. Furthermore, the paper presents a basic data for identifying future development directions. Methods: Classify the level of service perceived by customers and calculate the customer satisfaction coefficient and PCSI index. In addition, the direction of future research is established by empirically comparing and analyzing the data of this study and the past data. Results: The paper derive the service quality factors to be provided to small businesses in the current state. Moreover, It shows the increasing trend of new companies using comparative analysis with past data Conclusion: Since the new company consists of small businesses with less than 50 employees, further research on small businesses is needed in the future.

• Asia-Pacific Journal of Business
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• v.6 no.1
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• pp.45-57
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• 2015

The purpose of this research is to explore the relationships among service quality's five factors(i.e., tangibles, reliability, responsiveness, empathy, and assurance) and customer satisfaction. The study used convenience sampling and selected certain consumers who visited coffee shop in BeiJing, China. Total 300 questionnaires was distributed and 18 unsuitable data were excluded for data analysis. These data were tested using SPSS 21.0. The results of this study are summarized as follows. First, the result of the relationship between coffee shops'service quality and customer satisfaction reveals that two of 5 service quality factors (i.e., assurance and empathy) had a positive effect on customer satisfaction only, and other service quality factors (i.e., tangibles, reliability, and responsiveness) had no positive influence on customer satisfaction. Limitations and future research directions of the study were also discussed.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.