• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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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.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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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.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.1
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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.

• Journal of Convergence for Information Technology
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• v.7 no.1
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• pp.99-106
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• 2017

Research on technology security has been limited to technology leakage prevention. Companies recognize technology security as an investment. so It is a passive situation for recruitment and equipment installation. Therefore, the amount of damage caused by the technology leakage is regarded as profit, The purpose of this study is to investigate the effect of technology security on the domestic economy by using the inter-industry relations table. The inter-industry relations table was created by Vasily Leontiyev. In 1960, the Bank of Korea made it for the first time in Korea. Korea introduced the ISMS in 2001 and conducted a study on the technology security economy. Through this study, we hope that technology security will be recognized as income, not investment.

• Management & Information Systems Review
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• v.21
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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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.1
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• pp.65-70
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• 2006

It is hewn that we can apply algebraic attacks on combiners with memory such as summation generators. [1,8] To apply algebraic attacks on combiners with memory, we need to construct algebraic relations between the keystream bits and the initial bits of the LFSRs. Until now, all known methods produce algebraic relations involving several consecutive bits of keystream. [l.4.8] In this paper, we show that algebraic relations involving only one keystream bit can be constructed for summation generators. We also show that there is an algebraic relation involving only one keystream bit for ISG (9) proposed by Lee and Moon. Using this fact, we analyze the keystream generators which generate the keystreams by combining summation generators.

• Asia pacific journal of information systems
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• v.34 no.2
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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.

• The Journal of Information Systems
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• v.11 no.2
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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.

• Industrial Engineering and Management Systems
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• v.10 no.1
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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.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.3
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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.