• Title/Summary/Keyword: re-analysis data

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Review of Confirmatoty Data Analysis and Exploratory Data Analysis in Statistical Quality Control, Design of Experiment and Reliability Engineering (SQC, DOE 및 RE에서 확증적 데이터 분석(CDA)과 탐색적 데이터 분석(EDA)의 고찰)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.253-258
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    • 2010
  • The paper reviews the methodologies of confirmatory data analysis(CDA) and exploratory data analysis(EDA) in statistical quality control(SQC), design of experiment(DOE) and reliability engineering(RE). The study discusses the properties of flexibility, openness, resistance and reexpression for EDA.

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Effects of Forcing Data Resolution in Macro Scale River Discharge Simulation

  • Tachikawa, Yasuto;Shrestha, Roshan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2002.05b
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    • pp.1179-1186
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    • 2002
  • Macro scale distributed hydrological models simulate river discharge with better accuracy but it depends upon the grid resolution of input data. Effects of different input resolutions are studied here. Three different grid resolution input data obtained from HUBEX-IOP EEWB data and GAME Re-analysis data are used to simulate river discharge and compared against the observed one. CAME Re-analysis 1.25-degree resolution data are found quite satisfactory in larger basins, while HUBEX-IOP EEWB 10-minute resolution data are better for small catchments. GAME Re-analysis 2.5-degree resolution data did not give good result. Simulated results by using spatially interpolated data are rather worse than using original data. The Huaihe River basin $(132350\textrm{km}^2)$ is taken as the case of study.

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The Effects of e-Sports referees Authenticity on Viewing Commitment, Viewing Attitude, and Re-viewing Intention

  • Seyun Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.355-362
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    • 2024
  • The purpose of this study is to investigate whether the authenticity of the referees perceived by esports viewers affects the intention to re-viewing intention through viewing commitment and viewing attitude. To achieve the purpose of this study, a survey was conducted on 200 viewers who had watched esports LCK broadcasts. A total of 200 data were collected, and all data were used as the final valid sample. For data processing, frequency analysis, Cronbach's alpha, correlation analysis, and regression analysis were performed using SPSS 27. The results shown in this study are as follows. First, it was found that the authenticity of the referees had a positive effect on viewing commitment. Second, it was found that the authenticity of the referees had a positive effect on viewing attitude, Third, it was found that the authenticity of the referees had a positive effect on re-viewing intention. Fourth, it was found that viewing commitment had a positive effect on the re-viewing intention. Fifth, it was found that the viewing attitude had a positive effect on the re-viewing intention. We found from these results that viewers are importantly aware of the authenticity of e-sports referees and therefore have to strive to increase the authenticity of referees.

Design and Implementation of Incremental Learning Technology for Big Data Mining

  • Min, Byung-Won;Oh, Yong-Sun
    • International Journal of Contents
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    • v.15 no.3
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    • pp.32-38
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    • 2019
  • We usually suffer from difficulties in treating or managing Big Data generated from various digital media and/or sensors using traditional mining techniques. Additionally, there are many problems relative to the lack of memory and the burden of the learning curve, etc. in an increasing capacity of large volumes of text when new data are continuously accumulated because we ineffectively analyze total data including data previously analyzed and collected. In this paper, we propose a general-purpose classifier and its structure to solve these problems. We depart from the current feature-reduction methods and introduce a new scheme that only adopts changed elements when new features are partially accumulated in this free-style learning environment. The incremental learning module built from a gradually progressive formation learns only changed parts of data without any re-processing of current accumulations while traditional methods re-learn total data for every adding or changing of data. Additionally, users can freely merge new data with previous data throughout the resource management procedure whenever re-learning is needed. At the end of this paper, we confirm a good performance of this method in data processing based on the Big Data environment throughout an analysis because of its learning efficiency. Also, comparing this algorithm with those of NB and SVM, we can achieve an accuracy of approximately 95% in all three models. We expect that our method will be a viable substitute for high performance and accuracy relative to large computing systems for Big Data analysis using a PC cluster environment.

Registry Metadata Quality Assessment by the Example of re3data.org Schema

  • Kim, Suntae;Choi, Myung-Seok
    • International Journal of Knowledge Content Development & Technology
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    • v.7 no.2
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    • pp.41-51
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    • 2017
  • Nowadays, research data repositories (RDR) have become progressively widespread all over the world. To expand repository services and build up inbound linking strategy, organizations list their repositories with so called Global Registries. Accordingly, such registries should be carefully described by the related data. In this study, I explore the metadata schema of re3data.org. I collect and analyze descriptions from the listed repositories, and come up with some suggestions concerning possible improvements to the metadata schema. To accomplish this, I develop a crawler program, which collects necessary data from the re3data.org. Based on the analysis results, I have identified two issues that required elements is missing, one issue that required element value is missing when the corresponding property is applied, five inconsistency issues with re3data controlled vocabulary, six issues with undescribed optional elements, and two inconsistency issues between the elements and their attributes which do not pair with. I believe this discussion can facilitate improvements to the existing re3data.org schema and further help researchers who analyze data repository trends.

Re-classifying Method for Face Recognition (얼굴 인식 성능 향상을 위한 재분류 방법)

  • Bae Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.10 no.3
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    • pp.105-114
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    • 2004
  • In the past year, the increasing concern about the biometric recognition makes the great activities on the security fields, such as the entrance control or user authentication. In particular, although the features of face recognition, such as user friendly and non-contact made it to be used widely, unhappily it has some disadvantages of low accuracy or low Re-attempts Rates. For this reason, I suggest the new approach to re-classify the classified data of recognition result data to solve the problems. For this study, I will use the typical appearance-based, PCA(Principal Component Analysis) algorithm and verify the performance improvement by adopting the re-classification approach using 200 peoples (10 pictures per one person).

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Analysis of Ecological Data Repository Operation Status and EcoBank Service Proposal (생태 분야 데이터 리포지터리 운영 현황 분석 및 EcoBank 서비스 제안)

  • Juseop Kim;Hyosuk Kang;Suntae Kim
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.4
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    • pp.289-310
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    • 2023
  • Sharing and reusing data has become essential. Data repositories are a key tool for sharing and reusing this data. The purpose of this study is to propose the service of EcoBank, which is being built and operated by the National Institute of Ecology. To achieve the research purpose, 10 out of 123 foreign data repositories in the field of ecology registered on re3data.org were selected, investigated, and analyzed. As a result of the analysis, three services were derived in common. The three services consist of first, research data policy, second, research data quality review, and research data management training and workshops. Here, in order to share EcoBank's global data, it is necessary to register with a data repository registry such as re3data.org, and it is proposed that certification be promoted to ensure the reliability and quality of the repository.

Comparison of Restaurant Distribution Entrepreneurs' Pressure on Business Failure and Entrepreneurial Intention

  • AN, Soo-Jin;SHIN, Choung-Seob;PARK, Dea-Seob
    • Journal of Distribution Science
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    • v.17 no.5
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    • pp.5-17
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    • 2019
  • Purpose - This study aims to exploratorily analyze relationship among pressure on business failure, social safety net perception, and entrepreneurial intention targeting potential business founders - pre-entrepreneurs and re-entrepreneurs. Research design, data, and methodology - Out of 450 collected surveys, 386 were used for analysis. Among these, 216 were from pre-entrepreneurs and 170 were from re-entrepreneurs. Frequency analysis, reliability and validity analysis, and regression analysis were performed. Results - In analysis of pre-entrepreneur and re-entrepreneur's pressure on business failure and social safety net perception, objective environment perception - a subfactor of social safety net perception - had statistically significant difference between the two potential entrepreneur groups. Conclusions - We categorized potential entrepreneurs into pre-entrepreneurs and re-entrepreneurs. Also, the current study suggests importance of social safety net to vitalize food service business startup by validifying its mediating effect between pressure on business failure and attitude towards restaurant business establishment. This research also established groundwork for future studies on ways to improve entrepreneurial intention or startup business sustainability by deducing social safety net perception difference between pre-entrepreneurs and re-entrepreneurs. This study was able to analyze relationship between those two groups in terms of entrepreneurial intention and startup business sustainability.

Effects of Core Competence and Resource Sharing on the Relational Bond among Franchisees and on Re-contract Intention in the Franchising Parent Companies (프랜차이즈 모기업 핵심역량 자원이 가맹점 관계결속과 재계약의도에 미치는 영향)

  • Huh, Yeong-Uk;Ju, Mal-Chan
    • Journal of Distribution Science
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    • v.12 no.4
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    • pp.11-22
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    • 2014
  • Purpose - The domestic franchise industry has made significant contributions to industry such as investment, employment, and community economy development, facilitating growth potential. The franchise industry provides management knowhow transfer between parent companies and franchisees as per contracts addressing use of business signs, franchisees' independent position, franchisor support, and royalties to be paid to the franchisors. However, many franchisors lack management knowhow and provide insufficient support because of poor control of franchisees and not having a systematic approach to support. This results in dissatisfied franchisees and failure to establish long-term relationships. Few studies have examined relational commitment and/or re-contract intention by support resources between franchisors and franchisees, despite a considerable output of theories and studies of the growth of the franchise industry. The purpose of this study, therefore, was to examine the effects of the ability to provide resources on relational commitments and re-contract intention, and to suggest causal relationships and implications. Research design, data, and methodology - The subject was domestic franchisors registered with the Association of Franchise with more than 50 franchisees. Franchisees under contract for 2 years and considering re-contract of their franchise 2 years later were used. The subjects totaled 300 franchisees in Seoul. A questionnaire survey was used to investigate the subject of franchisees' concessions during the 10 days from November 21, 2013 to November 30, 2013. After excluding 16 surveys with poor answers, 284 responses were finally used. Four areas and 44 questions were used. A nominal scale was used for four common characteristics questions including gender, ages, educational background, and franchise managing time. Questions regarding ability, relational commitment, and re-contract intention made use of a Likert 5-point scale. Data coding and data cleaning were used. SPSS 18.0 was used as follows. First, frequency analysis was done to investigate demographic characteristics. Second, exploratory factor analysis was done to verify validity of testing tools, and Cronbach's α coefficient was used to verify reliability. Third, correlation analysis and multiple regression analysis were done. An exploratory factor analysis was done to verify validity of concepts. A correlation analysis was done to test relationships between the variables, and multiple regression analysis was done to verify franchisor's ability, franchisees' relational commitment, and re-contract intention. Results - The following were the outcomes. First, store operation management, finance operation management, and human resource management affected the calculated bond. Second, store operation management and finance operation management affected the emotional bond. Third, store operation management, finance operation management, human resource management, and marketing management affected the prescriptive bond. Fourth, calculated bond and prescriptive bond had an effect on re-contract intention. Conclusions - As stated above, in franchise management, parent companies' offer and instruction of core competence to their franchisees as an information resource could improve the relational bond by helping them grow together through the resource sharing. Consequently, core competence factors were promoting factors that could improve franchisees' re-contract intention for a long time.

Associations among Procedural Fairness, Tax Compliance, and Tax Re-audits

  • KIM, Ho-Sung;LEE, Hyun-Ah
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.187-198
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    • 2020
  • This study investigates the determinants of the likelihood of a tax re-audit in Korea. It adopts a researcher-administered questionnaire survey method for data collection. The survey questionnaire is randomly distributed to 1,120 individuals with tax-related knowledge and experience. Using a final sample of 342 responses, we conduct a cross-sectional regression analysis to test our hypotheses. The results show that the level of tax non-compliance significantly affects the likelihood of a tax re-audit. This finding suggests that the increase in re-audits in Korea is attributable to the tendency of the tax authority to conduct a re-audit to detect taxpayers' non-compliance behavior by excessively broadening the scope of re-audits. This study also finds that the level of tax non-compliance is influenced by the perception of procedural unfairness, measured by operational inconsistency and regulatory lack of clarity. Lastly, the results reveal that the level of tax non-compliance mediates the relationship between the perception of procedural unfairness and likelihood of a tax re-audit. This finding indicates that enhancing procedural fairness could fundamentally reduce unnecessary re-audits that infringe on the rights of taxpayers, as the likelihood of a tax re-audit is not solely determined by the level of tax non-compliance but also by perceived procedural fairness.