• Journal of Korea Technology Innovation Society
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• v.2 no.3
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• pp.118-128
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• 1999

This study attempts to provide an efficient method for managing the Nuclear R&D projects. It should be noted that the technology and experiences to develop a well-balanced plan and mon-itoring for the R&D project are not yet well established when compared with the commercial con-structionand engineering projects. This study recommends that the R&D project manager utilize the scheduling techniques to establish an integral management system taking in to account the un-certainties in the research environment. Based upon the results of a case study for the Liquid Metal Reactor Design Technology Development Project which is led by the KAERI this study also con-firms that it is possible to run the national nuclear R&D projects with the Scheduling & Planning.

• Korean Management Science Review
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• v.8 no.1
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• pp.51-70
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• 1991

This paper discusses planning and scheduling problems for efficient utilization of an FMS and presents an integrated decision support system for FMS production planning and scheduling problems. The decision support system, FMSDS(Flexible Manufacturing Systems Decision Support System), includes of data of handling module, part selection module, loading module, load adjusting module, scheduling module and simulation module etc. This paper includes the solution methodology of each subproblem. And an integrated interface scheme between the subproblems is presented. The interface scheme considers the relationships between the subproblems and generates solution using hierarchical and looping approaches. FMSDS is made up of six alternative models considering 3 loading objectives and 2 production order processing strategies. Performance comparisons among 6 alternatives and other decision support systems are shown using the non-terminating simulation techniques.

• International Journal of Control, Automation, and Systems
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• v.3 no.spc2
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• pp.355-362
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• 2005

Deregulations and market practices in power industry have brought great challenges to the system planning area. In particular, they introduce a variety of uncertainties to system planning. New techniques are required to cope with such uncertainties. As a promising approach, probabilistic methods are attracting more and more attentions by system planners. In small signal stability analysis, generation control parameters play an important role in determining the stability margin. The objective of this paper is to investigate power system state matrix sensitivity characteristics with respect to system parameter uncertainties with analytical and numerical approaches and to identify those parameters have great impact on system eigenvalues, therefore, the system stability properties. Those identified parameter variations need to be investigated with priority. The results can be used to help Regional Transmission Organizations (RTOs) and Independent System Operators (ISOs) perform planning studies under the open access environment.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.106-109
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• 1992

This paper Introduces the concept of the generation cost of generating utilities and its calculation methods. Also, the economic evaluation method using generation cost which is called as a screening curve method will be presented along with the benefits and disadvantages of this concept. Next, the least-cost electric utility planning techniques which is used very widely in many countries will be Introduced In comparison with screening curve method. In this aspects, the optimal dynamic mix can be determined as a result. By comparing these two concepts, we will get the concrete concept why the economic evaluation method using generation cost can not be used for the future generation expansion planning.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.698-700
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• 2003

This paper presents a model and analysis techniques for a unilateral external fixator to achieve fracture reduction and deformity correction in long bones precisely. through fixator joint adjustment. Combining the kinematic analysis with a graphic model of the tibia and the fixator allowed 3D simulation and visualization of the adjustments required to reduce fracture or correct bone deformity after osteotomy. The model and analysis technique can be used for fixator evaluation and clinical application planning.

• The Journal of the Korean dental association
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• v.52 no.10
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• pp.596-601
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• 2014

Computer-aided surgery is popular and useful in the field of oral and maxillofacial surgery, because of the possibility of simulation with a high accuracy. In all aspects of surgery, proper planning facilitates more predictable operative results, however before the use of virtual planning, much of this relied on 2-dimensional (2-D) imaging for treatment planning on a 3-dimensional (3-D) object and surgical trial and error. With real-time instrument positioning and clear anatomic identification, a computer-assisted navigation system (CANS) is exceptionally helpful in maxillofacial surgery. These techniques enable performing precise bony ablation and reconstruction, and also decrease surgical time and donor site defect.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.99-104
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• 2010

정부는 미래의 성장잠재력을 확충하기 위해 국가경쟁력의 핵심인 과학기술에 대한 재정투자규모를 지속적으로 확대하고 있다. 지속적인 R&D투자 확대의 결과로 국가 중요핵심기술 개발이 활발히 이루어지고 있어, 이에 대한 보안관리 또한 중요시 부각되어 금년부터 국가과학기술위원회는 조사 분석 시 보안과제 현황을 조사하는 등의 노력을 기울이고 있다. 그러나, 보안과제의 경우 엄격한 보안대책 요구등의 행정부담 증가의 이유로 인하여 활성화되지 못하고 있는 실정이다. 이에 본 논문에서는 '09년도 보안과제에 대한 현황분석 및 연구 애로사항을 조사하고, 보안과제에 대한 일선 연구자들의 적극적인 참여를 유도하기 위한 핵심 지원방안을 AHP(Analytic Hierarchy Process) 기법을 통하여 설계하여 보안과제 활성화를 위한 주요 의사결정의 도구로 활용한다.

• The Journal of Korean Society for Radiation Therapy
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• v.18 no.1
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• pp.35-41
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• 2006

Purpose: A various find of radiotherapy treatment plans have been made to determine appropriate doses for breasts, chest walls and loco-regional lymphatics in the radiotherapy of breast cancers. The aim of this study was to evaluate the optimum radiotherapy plan technique method by analyzing dose distributions qualitatively and quantitatively. Materials and Methods: To evaluate the optimum breast cancer radiotherapy plan technique, the traditional method(two dimensional method) and computed tomography image are adopted to get breast volume, and they are compared with the three-dimensional conformal radiography (3DCRT) and the intensity modulated radiotherapy (IMRT). For this, the regions of interest (ROI) such as breasts, chest walls, loco-regional lymphatics and lungs were marked on the humanoid phantom, and the computed tomography(Volume, Siemens, USA) was conducted. Using the computed tomography image obtained, radiotherapy treatment plans (XiO 5.2.1, FOCUS, USA) were made and compared with the traditional methods by applying 3DCRT and IMRT. The comparison and analysis were made by analyzing and conducting radiation dose distribution and dose-volume histogram (DVH) based upon radiotherapy techniques (2D, 3DCRT, IMRT) and point doses for the regions of interest. Again, treatment efficiency was evaluated based upon time-labor. Results: It was found that the case of using 3DCRT plan techniques by getting breast volume is more useful than the traditional methods in terms of tumor delineation, beam direction and confirmation of field boundary. Conclusion: It was possible to present the optimum radiotherapy plan techniques through qualitative and quantitative analyses based upon radiotherapy plan techniques in case of breast cancer radiotherapy. However, further studies are required for the problems with patient setup reproducibility arising from the difficulties of planning target volume (PVT) and breast immobilization in case of three-dimensional radiotherapy planning.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.3
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• pp.130-138
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• 2014

This study aimed to grasp Feng Shui Geographical Thought appears in layout, Axial symmetry, hierarchical planning, spatial composition and hidden design techniques of Chinese Garden, that is "Xue effect", "Long-Sha effect" and "Shuikou effect", and to study on expression in Landscape Space. The Author selected the Chinese courtyard and the Nets Garden as the object to prove the Layout landscaping techniques; and selected Beijing in Ming and Qing Dynasties and the Forbidden City, A square design in Xuanwei as the object to prove the Axial Symmetrical and Hierarchical landscaping techniques, and also selected the Lingering G-arden and the Gentle Waves Pavilion, Humble Administrator's Garden in Suzhou, and Nanhu Park in Taian as the object to prove the Spatial Composition and Hidden design techniques. The methods of this article is combined Literature survey and Field survey with Case analysis to draw the conclusions as follows: First, "Xue effect" of Chinese Feng Shui Geographical Thought is suitable for the layout of Chinese courtyard and the Nets Garden in Suzhou; Second, "Long-Sha effect" is suitable for the urban planning of Beijing in Ming and Qing Dynasty, and the layout of the Forbidden City, by the city square design in Xuanwei, we can see that it is also suitable for Chinese modern landscape design; Third, "Shuikou effect" is appeared in the Spatial Composition and Hidden design techniques. All of these landscape design techniques are commonly used in China's modern landscape. It has been proved by the analysis of the Lingering Garden and the Gentle Waves Pavilion, Humble Administrator's Garden in Suzhou, and Nanhu Park in Taian.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.220-225
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• 2021

Human population growth rate is an important parameter for real-world planning. Common approaches rely upon fixed parameters like human population, mortality rate, fertility rate, which is collected historically to determine the region's population growth rate. Literature does not provide a solution for areas with no historical knowledge. In such areas, machine learning can solve the problem, but a multitude of machine learning algorithm makes it difficult to determine the best approach. Further, the missing feature is a common real-world problem. Thus, it is essential to compare and select the machine learning techniques which provide the best and most robust in the presence of missing features. This study compares 17 machine learning techniques (base learners and ensemble learners) performance in predicting the human population growth rate of the country. Among the 17 machine learning techniques, random forest outperformed all the other techniques both in predictive performance and robustness towards missing features. Thus, the study successfully demonstrates and compares machine learning techniques to predict the human population growth rate in settings where historical data and feature information is not available. Further, the study provides the best machine learning algorithm for performing population growth rate prediction.