• 제목/요약/키워드: information relations

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로지스틱 회귀분석을 이용한 BIM 설계 검토에 의하여 발견된 설계 오류와 그 영향도간의 관계 분석 (An Analysis on Relations between Design Errors Detected during BIM-based Design Validation and the Impacts Using Logistic Regression)

  • 원종성
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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    • pp.264-265
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    • 2017
  • This paper aims to analyze relations between design errors prevented by building information modeling (BIM)-based design validation and their impacts in order to identify critical consideration factors for successfully implementing BIM-based design validation in the architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to its causes and work types. The relations between causes and work types of design errors and project delay, cost overrun, low quality, and rework generation that can be caused by the errors are analyzed through conducting logistic regression. Characteristics of each design error are analyzed by conducting face-to-face interviews with practitioners in the two BIM-based projects. As the results, the impacts of design error causes on predicting project delay, cost overrun, low quality, and rework generation were the highest.

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절차적 프로그램으로부터의 객체 추출 방법론 (A Method of Object Identification from Procedural Programs)

  • 진윤숙;마평수;신규상
    • 한국정보처리학회논문지
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    • 제6권10호
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    • pp.2693-2706
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    • 1999
  • Reengineering to object-oriented system is needed to maintain the system and satisfy requirements of structure change. Target systems which should be reengineered to object-oriented system are difficult to change because these systems have no design document or their design document is inconsistent of source code. Using design document to identifying objects for these systems is improper. There are several researches which identify objects through procedural source code analysis. In this paper, we propose automatic object identification method based on clustering of VTFG(Variable-Type-Function Graph) which represents relations among variables, types, and functions. VTFG includes relations among variables, types, and functions that may be basis of objects, and weights of these relations. By clustering related variables, types, and functions using their weights, our method overcomes limit of existing researches which identify too big objects or objects excluding many functions. The method proposed in this paper minimizes user's interaction through automatic object identification and make it easy to reenginner procedural system to object-oriented system.

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프로세스 모델에서 도출한 조직간 사회관계에 대한 분석과 조직 재설계 (Analysis of Social Relations Among Organizational Units Derived from Process Models and Redesign of Organization Structure)

  • 최인준;송민석;김광명;이용혁
    • 대한산업공학회지
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    • 제33권1호
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    • pp.11-25
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    • 2007
  • Despite surging interests in analyzing business processes, there are few scientific approaches to analysis and redesign of organizational structures which can greatly affect the performance of business processes. This paper presents a method for deriving and analyzing organizational relations from process models using social network analysis techniques. Process models contain information on who performs which processes and activities, along with the assignment of organizational units such as departments and roles to related activities. To derive social relations between organizational units from process models, three types of metrics are formally defined: transfer of work metrics, subcontracting metrics, and cooperation metrics. By applying these metrics, various relations among organizational units can be derived and analyzed. To verify the proposed method and metrics, they are applied to standard process models of the semiconductor and electronic, and automotive industry in Korea. This paper presents a taxonomy for diagnosing organization structure based on the presented approach. The paper also discusses how to combine analyses in the taxonomy for redesign of organizational structures.

산업연관표를 활용한 기술보안의 경제적 효과 (Economic impact of the technical security utilizing the inter-industry relations table)

  • 임헌욱;심재영
    • 융합정보논문지
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    • 제7권1호
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    • pp.99-106
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    • 2017
  • 그간 기술보호에 관한 연구가 기술유출 방지활동 연구에 집중되어 있고, 기술보호 활동이 투자로만 인식하고 있어서 보안관련 인력채용과 장비설치에 소극적인 실정이다. 이에 기술유출시 발생하는 피해금액을 수익으로 간주하고, 산업연관표를 활용하여 기술보호 활동이 국내 경제에 미치는 효과를 찾고자 하였다. 산업연관표는 바실리 레온티예프에 의해 시작되었으며, 국내는 한국은행에서 1960년 처음으로 작성되었고 국내 기술보호관련 경제성 연구는 2001년 정보보호관리체계(ISMS) 인증도입 후 연구가 진행되었다. 본 연구를 통해 기술보호가 투자가 아닌 수익으로 인식전환 되길 바란다.

대학 홍보에서 마케팅 PR 활용에 관한 연구 -마케팅 PR전략의 실천방안을 중심으로- (The Study on Marketing Public Relations Strategy Application in College)

  • 최석현;김우희
    • 경영과정보연구
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    • 제21권
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    • pp.29-47
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    • 2007
  • The purpose of this study is to analyze the case on the strategic MPR that has rapidly growing for years. And the Brand, which was at first used to be distinguished from many other products or services, is going through its gradually expanded definition, not merely for the highlight of the distinctions. This study was performed to review the literature on concept and meaning of Marketing Public Relations(MPR) which was used for IMC planning and to identify formation, development, and functional characteristics of MPR. MPR is a series of public communication act in order to gain credibility on their products and services with consumers and prospects from consumer-oriented viewpoint. The subject of the study are Colleges or Universities who try hard to work their various and strategic PR communication. The results of this research indicates that maximization of the integrated effect between marketing and public relations shall be achieved in planning MPR strategy. The meaning of this study is to verify the significance and need of the Colleges or Universities' specialized characteristics in strategic MPR activities. It is expected that this research will provide meaningful suggestions to PR and marketing practitioners.

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메모리를 가지는 Combiner 모델에 대한 새로운 대수적 방정식 구성 방법과 그 응용 (Finding New Algebraic Relations on Some Combiners with Memory And Its Applications)

  • 김재헌;한재우;문덕재
    • 정보보호학회논문지
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    • 제16권1호
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    • pp.65-70
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    • 2006
  • Summation generator와 같이 메모리를 가지는 combiner 모델에 대해 대수적 공격이 적용 가능함은 잘 알려져 있다. [1.8] 메모리를 가지는 combiner 모델에 대하여 대수적 공격을 적용하기 위해서는 대수적 방정식 수립이 필요한데, 현재까지의 모든 결과는 2비트 이상의 연속적인 출력 키수열을 필요로 하였다 (1,4,8). 본 논문에서는 Summation generate에 대한 대수적 방정식을 1비트 키수열만으로 구성할 수 있음을 보인다. 또한 ISG 알고리즘 [9]에 대해서도 1비트 키수열만을 이용한 방정식 구성이 가능함을 보인다. 이를 이용하여, summation generator 및 ISG 여러 개를 하나의 부울함수로 결합한 형태의 키수열 발생기에 대해서도 대수적 공격이 가능함을 보인다.

Sentimental Analysis of Twitter Data Using Machine Learning and Deep Learning: Nickel Ore Export Restrictions to Europe Under Jokowi's Administration 2022

  • Sophiana Widiastutie;Dairatul Maarif;Adinda Aulia Hafizha
    • Asia pacific journal of information systems
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    • 제34권2호
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    • pp.400-420
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    • 2024
  • Nowadays, social media has evolved into a powerful networked ecosystem in which governments and citizens publicly debate economic and political issues. This holds true for the pros and cons of Indonesia's ore nickel export restriction to Europe, which we aim to investigate further in this paper. Using Twitter as a dependable channel for conducting sentiment analysis, we have gathered 7070 tweets data for further processing using two sentiment analysis approaches, namely Support Vector Machine (SVM) and Long Short Term Memory (LSTM). Model construction stage has shown that Bidirectional LSTM performed better than LSTM and SVM kernels, with accuracy of 91%. The LSTM comes second and The SVM Radial Basis Function comes third in terms of best model, with 88% and 83% accuracies, respectively. In terms of sentiments, most Indonesians believe that the nickel ore provision will have a positive impact on the mining industry in Indonesia. However, a small number of Indonesian citizens contradict this policy due to fears of a trade dispute that could potentially harm Indonesia's bilateral relations with the EU. Hence, this study contributes to the advancement of measuring public opinions through big data tools by identifying Bidirectional LSTM as the optimal model for the dataset.

내부통제 및 정보품질과 회계정보시스템의 사용자 만족도와의 관계 (The Relation of Accounting Information System User Satisfaction, Internal Controls and Quality)

  • 이장형;김광집
    • 한국정보시스템학회지:정보시스템연구
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    • 제11권2호
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    • pp.1-25
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    • 2002
  • This study is for the purpose of understanding User Satisfaction of Accounting Information System more closely by means of perceiving relations between Internal Controls and Quality. That is, this study is to assess Internal Controls and Quality and to connect those with User Satisfaction. This thesis is for the substantial study on whether Information Quality, System Quality, and Service Quality influenced by Internal Controls of Accounting Information System have an effect on User Satisfaction, when Internal Controls of Accounting Information System is good, The following hypothesis was made to achieve this purpose. First, Internal Controls will have an positive influence on Quality. Second, Qualify will positively affect User Satisfaction. Third, Internal Controls will positively Influence User Satisfaction. Fourth, Internal Controls will have a positive effect on User Satisfaction through Quality For the survey sample, this study gathered data on someone engaged in companies or organizations which have computer offices, and groups were differentiated between general staff and someone in charge of the computer office, and each group had different questions. In general, 622 of questions were distributed and 200 of the final valid samples were used for the substantial analysis. As the result of the study, the relations between Internal Controls and Quality are statistically significant. The relations between Quality and User Satisfaction ire also statistically significant. But the relations between Internal Controls and User Satisfaction are not statistically significant. Path Analysis was implemented to analyze the hypothesis on whether Internal Controls have an influence on User Satisfaction through Quality. When the result of analysis with Lisrel 8.5 was examined, index numbers(GFI, AGFI, RMR) representing the suitability of the model were enough to be taken and it is showed that there is the suitability of the model. Internal Controls of Accounting Information System can't have an influence on User Satisfaction with Quality. As the above hypothesis was rejected, Through Path Analysis, this study examined the influence which relations between Internal Controls and Quality, factors of User Satisfaction, have on User Satisfaction, and is very meaningful in terms of the first trial. And on the point of time when there are little studies on the effect analyses between Internal Controls and Quality, this study would be the promoter for the future. The limitation on this study is to analyze only mutual effects between factors by choosing Internal Controls, Quality, and User Satisfaction as survey variables. The study which measure items with precision which are related to each variable and understand measurement factors clearly should be implemented.

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Rule Induction Considering Implication Relations Between Conclusions

  • Inuiguchi, Masahiro;Inoue, Masanori;Kusunoki, Yoshifumi
    • Industrial Engineering and Management Systems
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    • 제10권1호
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    • pp.65-73
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    • 2011
  • In rough set literatures, methods for inducing minimal rules from a given decision table have been proposed. When the decision attribute is ordinal, inducing rules about upward and downward unions of decision classes is advantageous in the simplicity of obtained rules. However, because of independent applications of the rule induction method, inclusion relations among upward/downward unions in conclusion parts are not inherited to the condition parts of obtained rules. This non-inheritance may debase the quality of obtained rules. To ensure that inclusion relations among conclusions are inherited to conditions, we propose two rule induction approaches. The performances of the proposed approaches considering the inclusion relations between conclusions are examined by numerical experiments.

가중치 기반 PLSA를 이용한 문서 평가 분석 (Reputation Analysis of Document Using Probabilistic Latent Semantic Analysis Based on Weighting Distinctions)

  • 조시원;이동욱
    • 전기학회논문지
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    • 제58권3호
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    • pp.632-638
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    • 2009
  • Probabilistic Latent Semantic Analysis has many applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. In this paper, we propose an algorithm using weighted Probabilistic Latent Semantic Analysis Model to find the contextual phrases and opinions from documents. The traditional keyword search is unable to find the semantic relations of phrases, Overcoming these obstacles requires the development of techniques for automatically classifying semantic relations of phrases. Through experiments, we show that the proposed algorithm works well to discover semantic relations of phrases and presents the semantic relations of phrases to the vector-space model. The proposed algorithm is able to perform a variety of analyses, including such as document classification, online reputation, and collaborative recommendation.