• Journal of Science and Technology Studies
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• v.1 no.2 s.2
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• pp.371-398
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• 2001

Sciences and technologies are the sources which have formed presently highly developed civilizations and cultures and have enhanced the quality of human lives. But we see the dark sides of them as well as the bright sides, and we have the consciousness of environmental crisis and destruction of lives caused by them. Thus were are criticisms against human-tropism or technology-tropism from nature-tropism or deep ecology. However, if people would continue to have the desire of enjoying the present quality of their lives, they should try to develop and improve pro-environmental technologies. In this vein, we have the necessity of making environmental decisions and solving environmental problems by information technologies. Since the second half of the last century, 'environment' is the key word because we have the consciousness of environment strongly. As we solve human problems by making decisions of actions, we must face with environmental decisions in order to solve our environmental problems. If we have the better understanding of the nature of information and the role of information technology, and the relation of information technology and decision-making, we are able to design environmental systems and implement their optimal interfaces of environmental components. For this purpose, we are obliged to combine several useful technologies including GIS, DSS, Knowledge-based system and artificial neural networks. Therefore the developments and cooperations of these fields in environmental decision making enables us to live in the better and comfortable surrounding in the near future.

• The KIPS Transactions:PartC
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• v.10C no.2
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• pp.125-132
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• 2003

In the paper, we can select the best safeguard as proposed the definite and systematical method and procedure on risk mitigation of risk management for information system. The practical risk mitigation methodology has a good fulfillment procedure and a definition to fulfill procedure on each phase. So, it is easy to fulfill and can apply to any risk management methodology. The practical risk mitigation is composed of 6 phases, which are the existing safeguard assessment, safeguard means selection, safeguard technique selection, risk admission assessment, cost-effective analysis and safeguard embodiment. The practical risk mitigation's advantages are as follow. Efficient selection of safeguards to apply to risk's features with safeguard's means and techniques before embodying safeguards. Prevention of redundant works and security budgets waste as re-using the existing excellent safeguards through the existing safeguard assessment. Reflection of organization's CEO opinions to require special safeguards for the most important information system.

• Journal of KIISE:Software and Applications
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• v.27 no.5
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• pp.488-498
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• 2000

Object-oriented methodologies are widely used in the development of huge and complex systems since these methodologies produce the comprehensible and extensible model of systems. In order to apply an object-oriented methodology to a software development, developers should derive a method customized to a specific project from the methodology and, then, construct a development process from the method. Unfortunately, existing object-oriented methodologies lack a systematic facility for the construction of a method and a process. In this paper, we present a customizable object-oriented methodology to support the systematic derivation of a project specific method from the generic methodology. To derive a project specific method from the methodology, we transform the problem of a derivation to a planning problem and apply planning techniques. Our planning technique uses the description of an architecture that captures the structure and characteristics of a software under development as input and constructs an appropriate method with respect to the architecture. The architecture-centered construction facilitates the effective handling for the characteristics of the software since an architecture capture the decisions that must be maintained consistently during the development.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.271-272
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• 2015

정부의 ICT R&D는 전체산업 관점과 거시적 목적 지향적인 R&D 추진체계에서 필요한 R&D 목적달성을 위해 R&D투자재원의 효율적 배분이 매우 중요한 기능이 된다. 즉, R&D재원배분에 대한 다양한 기준들이 존재할 수 있으며, 이러한 상충적 배분기준들 사이에 객관적이고 효율적인 재원투자의 우선순위와 가중치가 기본적으로 필요하게 된다. R&D계획수립과 지원 분야선정을 위한 방법론으로 보편적으로 사용되고, 현장적용에 객관성을 확보하고 있는 AHP(Analytic Hierarchy Process) 모형을 통해 상충적 다중의사결정에 발생하는 기준의 선호에 대한 쌍대비교를 통해 객관적 선택기준과 대안적 선택에 대한 의사결정 프레임워크를 제공해준다. 따라서 본 연구에서는 정부의 ICT산업경쟁력 제고 목적달성을 위한 투자부문과 기술분야에 대한 실증적인 의사결정구조와 재원배분안을 제시하고자 한다.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.153-177
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• 2001

Nowadays, product recommendation is one of the important issues regarding both CRM and Internet shopping mall. Generally, a recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly and thereby automatic recommendation methodologies have got great attentions. But the researches and commercial tools for product recommendation so far, still have many aspects that merit further considerations. To supplement those aspects, we devise a recommendation methodology by which we can get further recommendation effectiveness when applied to Internet shopping mall. The suggested methodology is based on web log information, product taxonomy, association rule mining, and decision tree learning. To implement this we also design and intelligent Internet shopping mall support system based on agent technology and develop it as a prototype system. We applied this methodology and the prototype system to a leading Korean Internet shopping mall and provide some experimental results. Through the experiment, we found that the suggested methodology can perform recommendation tasks both effectively and efficiently in real world problems. Its systematic validity issues are also discussed.

• Journal of the Korean Geotechnical Society
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• v.24 no.1
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• pp.119-130
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• 2008

Uncertainties in physical and engineering parameters for the design of shallow foundations arise from various aspects such as inherent variability and measurement error. This paper aims at investigating and reducing uncertainty from deterministic method by using the reliability-based design of shallow foundations accounting for the variation of various design parameters. A probability distribution type and statistics of random variables such as unit weight, cohesion, infernal friction angle and Young's modulus in geotechnical engineering are suggested to calculate the ultimate bearing capacities and immediate settlements of foundations. Reliability index and probability of failure are estimated based on the distribution types of random variables. Widths of foundation are calculated at target reliability index and probability of failure. It is found that application and analysis of the best-fit distribution type for each random variables are more effective than adoption of the normal distribution type in optimizing the reliability-based design of shallow foundations.

• Tunnel and Underground Space
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• v.31 no.5
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• pp.360-373
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• 2021

Many sources of uncertainty exist in geotechnical analysis ranging from the material parameters to the sampling and testing techniques. The conventional deterministic stability analysis of a plane failure in rock slope produce a safety factor but not a probability of failure or reliability index. In the conventional slope stability analysis by evaluating the ground uncertainty as an overall safety factor, it is difficult to evaluate the stability of the realistic rock slope in detail. This paper reviews some established probabilistic analysis techniques, such as the MCS, FOSM, PEM, Taylor Series as applied to plane failure of rock slopes in detail. While the Monte - Carlo methods leads to the most accurate calculation of the probability of safety, this method is too time consuming. Therefore, the simplified probability methods could be alternatives to the MCS. In this study, using these simple probability methods, the failure probability estimation of a plane failure in rock slope is presented.

• Korean Journal of Construction Engineering and Management
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• v.10 no.2
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• pp.84-92
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• 2009

Recently, lots of the research aspects of space, materials, structure, construction method relation to improving the flexibility going on throughout the construction industry, moreover the development of construction key technology has been accelerating by reason of deterioration in the apartment housing. Therefore, this study should firstly suggests assessment list of construction key technology through investigation of questionnaire and consultation of the expert on the basis of case studies, and should select it about the flexibility which making social issues lastly in the apartment housing. Secondly, this study should classify, reestablish core technology through inspection procedure of feasibility study among lists of deduced key technology. Finally, this study will suggest the manual & guideline for improving the flexibility for a long-life apartment housing at the next generation by selecting, analyzing and estimating higher score items of all key technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.167-168
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• 2019

Lately, variety of algorithms using encryption technology has been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve through human biometrics technology which has already succeeded in commercialization. These include finger print recognition, face recognition, and iris recognition. In this study, we selected biometrics recognition technology and pattern recognition and password input methods which are already commercialized as evaluation items. The evaluation items are five algorithms including finger print recognition, face recognition iris recognition, pattern recognition and password input method. Based on these algorithms, analytic hierarchy process is used to analyze the preference of smartphone users. Also, the theoretical implications are presented based on the analysis results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.611-620
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• 2016

Firms grow in a competitive environment and competition can be a source of corporate growth. In an increasingly global market, companies face increased competition. As such, it is natural that all firms face some degree of risk due to competition. While firms compete for market share, they also imitate competitors in order to minimize risk that accompanies competition. This research attempts to demonstrate the effects of inter-firm competition on investment decisions. Using idiosyncratic equity returns as the instrument variable, this paper uses a two-stage least squares regression, as well as an ordinary least squares (OLS), to identify the influence of peer firms' investment decisions on a firm's own investment strategy. The results confirm that firms show stronger imitative behavior with more intense competition. Also, firms with higher debt ratios show higher peer group influence. This imitative factor provides clues to measure the risk-averseness in investment decisions.