• 한국군사과학기술학회지
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• 제2권2호
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• pp.197-208
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• 1999

위험관리는 최근 다양한 분야의 산업에 적용 가능한 매우 중요한 토픽이다. 본 연구에서는 기본적인 위험관리의 일반적인 방법론과 새로운 위험관리 평가의 방법론을 제시한다. 위험관리의 실제 적용에 있어서 재정, 보험산업 등의 분야에서는 이미 많은 현실적 방법론들이 개발되었다. 다양한 산업현장에서 발전된 많은 적용사례들이 있으나 여전히 위험관리는 어려운 부분이며, 두 가지 주요한 위험평가 방법론이 시스템 엔지니어링 분야에서 개선되고 발전되어왔다. 그중 하나는 본래의 위험평가의 기본개념을 바탕으로 하여 발전한 것이며 다른 하나는 소프트웨어 엔지니어링분야의 위험평가에서 비롯된 것이다. 규모가 크고 복잡한 시스템에서 효과적인 위험관리는 프로젝트의 최종 목적을 달성하는데 있어서 불확실성에 적절히 대처하여 총 개발비용을 줄이고 목표일정과 성능을 달성하는 효과를 가져온다.

• 한국정밀공학회지
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• 제16권9호
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• pp.34-40
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• 1999

In order to establish the design technique of the robust current controller in d.c series wound motor driver system, this paper proposes a method of the compensated Bang-Bang current control using d.c series wound motor driver system under the improperly variable load to get minimum time for the torque control. The compensated Bang-Bang current controller structure is simpler than that of PID plus Bang-Bang controller. This paper shows that a general 16 bits microprocessor is efficiently used to implement such an algorithm. The calculation time of software is extremely small when compared with that of conventional PID plus Bang-Bang controller. Both nonlinear operating characteristics of digital switching elements and describing function methods are used for the analysis and synthesis. Real-time implementation of the compensated Bang-Bang current controller is achieved. The concept of design strategy of the control and the PWM waveform generation algorithms are presented in this paper.

• International Journal of Advanced Culture Technology
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• 제7권2호
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• pp.209-217
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• 2019

Due to the development of artificial intelligence and image recognition technology that play important roles in the field of 4th industry, office automation systems and unmanned automation systems are rapidly spreading in human society. The proposed algorithm first finds the variances of the differences between the tile values constituting the learning characters and the experimental character and then recognizes the experimental character according to the distribution of the three learning characters with the smallest variances. In more detail, for 100 learning data characters and 10 experimental data characters, each character is defined as the number of black pixels belonging to 15 tile areas. For each character constituting the experimental data, the variance of the differences of the tile values of 100 learning data characters is obtained and then arranged in the ascending order. After that, three learning data characters with the minimum variance values are selected, and the final recognition result for the given experimental character is selected according to the distribution of these character types. Moreover, we compare the recognition result with the result made by a neural network of basic structure. It is confirmed that satisfactory recognition results are obtained through the processes that subdivide the learning characters and experiment characters into tile sizes and then select the recognition result using variances.

• International Journal of Advanced Culture Technology
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• 제9권2호
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• pp.80-85
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• 2021

This study is to analyze the structure of the networks of tourism marketing on Twitter, identifying the most prominent users, the flow of information about tourism marketing, and the interaction between the users posting tweets. This study employs NodeXL pro as a visualization software package for social network analysis. The number of vertices or nodes is 171, and the number of the unique edges or links is 128, but there are 101 edges with duplicates, so the total links are 229, which means that there are fewer Twitter accounts in the social network on tourism marketing, but they have a few close relationships by sharing information. The research can map the social network of communicators of tourism marketing using Twitter data. The network has a complicated pattern, including one independent network and some connected networks. Some mediators connect each network and can control the information flow of tourism marketing. More communicators are getting the information than the ones providing it, which means that there is likely to be the dependence of information among communicators that can cause an obstacle and distortion of the information flow system, especially in the independent network.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1065-1071
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• 2021

This study seeks to analyze the impact, and provides more empirical evidence on the effect, of the responsible accounting model combined with scorecards on the organizational performance of pharmaceutical companies. The research methodology uses questionnaires survey distributed to pharmaceutical companies. Quantitative research was done with SPSS 25 software. After excluding invalid questionnaires due to many blank boxes, 306 questionnaires could be used by the author. Research results show that seven elements of the responsible accounting model combined with the balance scorecard all positively affect the organizational performance of enterprises in the pharmaceutical industry including: (1) dividing organizational structure into centers of responsibility according to strategy; (2) assigning management to management according to vision; (3) allocating costs and revenue; (4) making budget estimates according to balanced scorecard (BSC); (5) evaluating estimates with reality by BSC; (6) making BSC analysis reports; and (7) rewarding based on BSC. Cost allocation and revenue are the factors that have the strongest impact on the organizational efficiency of pharmaceutical enterprises. Based on the research results, the author has proposed recommendations to improve the good application of the responsible accounting model combined with the balance scorecard, thereby contributing to improving the organizational efficiency of pharmaceutical enterprises.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.93-104
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• 2022

This study aims to investigate the factors that contribute to the sustainable development of 334 Vietnamese construction and real estate companies listed on the Stock Exchange of Vietnam over a 5-year period from 2016 to 2020. By using regression analysis with the support of STATA software through examining the financial statements, which involves looking into crucial ratios including capital structure, profitability, firm size, accounts receivable management, and tangible assets investment, this study sheds light on whether these accounting indicators could help predict the construction and real estate companies growing potential in the future. Nevertheless, these ratios slightly contribute to the explanation of the change in revenue growth ratio, with a result of 1.6%, indicating that the value relevance of accounting information provides a modest and insignificant effect on investment decisions. This is understandable because the Vietnamese construction and real estate market still has many shortcomings in handling unexpected events, as well as the industry's peculiarities related to major capital sources from bank loans. Based on this study, governmental authorities and business executives should plan appropriate risk management policies and measures to contribute to the sustainable development of construction and real estate companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2718-2731
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• 2023

This paper presents a method of using syntax and shallow semantic analysis for Vietnamese question generation (QG). Specifically, our proposed technique concentrates on investigating both the syntactic and shallow semantic structure of each sentence. The main goal of our method is to generate questions from a single sentence. These generated questions are known as factoid questions which require short, fact-based answers. In general, syntax-based analysis is one of the most popular approaches within the QG field, but it requires linguistic expert knowledge as well as a deep understanding of syntax rules in the Vietnamese language. It is thus considered a high-cost and inefficient solution due to the requirement of significant human effort to achieve qualified syntax rules. To deal with this problem, we collected the syntax rules in Vietnamese from a Vietnamese language textbook. Moreover, we also used different natural language processing (NLP) techniques to analyze Vietnamese shallow syntax and semantics for the QG task. These techniques include: sentence segmentation, word segmentation, part of speech, chunking, dependency parsing, and named entity recognition. We used human evaluation to assess the credibility of our model, which means we manually generated questions from the corpus, and then compared them with the generated questions. The empirical evidence demonstrates that our proposed technique has significant performance, in which the generated questions are very similar to those which are created by humans.

• 한국산학기술학회논문지
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• 제18권11호
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• pp.770-777
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• 2017

BIM(Building Information Modeling)은 2000년대 들어서면서 기존의 CAD를 대신하여 통합정보모델로서의 관심과 기대를 받아왔다. 건설산업 전체 중에서 건축분야에서 먼저 활용되기 시작한 BIM기술은 토목분야에서는 상대적으로 늦게 도입이 되기 시작하였다. 그러나 정부에서 2020년부터 모든 SOC사업의 20%를 적용계획을 발표하는 등 토목사업에서의 도입은 가속화 될 것으로 예상된다. BIM을 성공적으로 도입하기 위해서는 통합적 설계정보에 대한 체계적인 구조와 이를 구현하는 기술이 뒷받침되어야 한다. 또한 건설사업에서 정보화는 많은 복잡한 요소들이 얽혀 있어 정보체계간의 관계 정립이 무엇보다 중요하다. 본 연구에서는 토목사업에 BIM을 도입하기 위한 정보관계를 규명하여 통합정보를 구성하기 위한 프레임워크를 제시하고 이를 교량사업에 적용하여 그 효용성을 확인한다. 본 연구는앞으로 토목분야에서 WBS(Work Breakdown Structure)를 BIM에 도입하여 공정 및 공사비 관리를 통합적으로 수행하는데 활용될 수 있다. 또한 BIM을 도입하기 위한 정보체계의 표준화에 대한 방향제시를 통하여 앞으로 토목의 각 분야에서 BIM을 도입하는데 도움이 될 것이다.

• International Journal of Quality Innovation
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• 제6권3호
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• pp.173-189
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• 2005

A life-cycle assessment (LCA) is based on the attention given to the environmental protection and concerning the possible impact while producing, making, and consuming products. It includes all environmental concerns and the potential impact of a product's life cycle from raw material procurement, manufacturing, usage, and disposal (that is, from cradle to grave). This study assesses the environmental impact of the ultra pure water process of semiconductor manufacturing by a life-cycle assessment in order to point out the heavy environmental impact process for industry when attempting a balanced point between production and environmental protection. The main purpose of this research is studying the development and application of this technology by setting the ultra pure water of semiconductor manufacturing as a target. We evaluate the environmental impact of the Precoat filter process and the Cation/Anion (C/A) filter process of an ultra pure water manufacturing process. The difference is filter material used produces different water quality and waste material, and has a significant, different environmental influence. Finally, we calculate the cost by engineering economics so as to analyze deeply the minimized environmental impact and suitable process that can be accepted by industry. The structure of this study is mainly combined with a life-cycle assessment by implementing analysis software, using SimaPro as a tool. We clearly understand the environmental impact of ultra pure water of semiconductor used and provide a promotion alternative to the heavy environmental impact items by calculating the environmental impact during a life cycle. At the same time, we specify the cost of reducing the environmental impact by a life-cycle cost analysis.

• 한국산업융합학회 논문집
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• 제25권2_1호
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• pp.177-184
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• 2022

The automatic defect sorting function of machinery parts is being introduced to the automation of the manufacturing process. In the final stage of automation of the manufacturing process, it is necessary to apply computer vision rather than human visual judgment to determine whether there is a defect. In this paper, we introduce a deep learning method to improve the classification performance of typical mechanical parts, such as welding parts, galvanized round plugs, and electro galvanized nuts, based on the results of experiments. In the case of poor welding, the method to further increase the depth of layer of the basic deep learning model was effective, and in the case of a circular plug, the surrounding data outside the defective target area affected it, so it could be solved through an appropriate pre-processing technique. Finally, in the case of a nut plated with zinc, since it receives data from multiple cameras due to its three-dimensional structure, it is greatly affected by lighting and has a problem in that it also affects the background image. To solve this problem, methods such as two-dimensional connectivity were applied in the object segmentation preprocessing process. Although the experiments suggested that the proposed methods are effective, most of the provided good/defective images data sets are relatively small, which may cause a learning balance problem of the deep learning model, so we plan to secure more data in the future.