• International Journal of Aeronautical and Space Sciences
• /
• v.8 no.1
• /
• pp.66-78
• /
• 2007

A multi-point aerodynamic shape optimization technique has been developed for helicopter rotor blades in hover based on a continuous adjoint method on unstructured meshes. The Euler flow solver and the continuous adjoint sensitivity analysis were formulated on the rotating frame of reference. The 'objective function and the sensitivity were obtained as a weighted sum of the values at each design point. The blade section contour was modified by using the Hicks-Henne shape functions. The mesh movement due to the blade geometry change was achieved by using a spring analogy. In order to handle the repeated evaluation of the design cycle efficiently, the flow and adjoint solvers were parallelized based on a domain decomposition strategy. A solution-adaptive mesh refinement technique was adopted for the accurate capturing of the wake. Applications were made to the aerodynamic shape optimization of the Caradonna-Tung rotor blades and the UH-60 rotor blades in hover.

• Proceedings of the IEEK Conference
• /
• 1999.06a
• /
• pp.1029-1032
• /
• 1999

Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tissue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle parameter is decided on trial and error procedure comparing the sample photograph and generated image using our Muscle-Editor to generate a specific face image. In this paper, we propose the strategy of automatic estimation of facial muscle parameters from 2D marker movement using neural network. This also 3D motion estimation from 2D point or flow information in captered image under restriction of physics based face model.

• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.8 no.6
• /
• pp.105-112
• /
• 1999

In this paper we deal with tool interference problem in the case of compound surface machining. A new tool interference detection and correction method based on the envelope of the tool path is suggested to identify and correct the tool interference - not only within the local path of tool movement, but also outside of the tool path. Therefore, the developed strategy can be used to check the possible interference in any region of the surface. In order to analyze quantitatively the milled surface error produced by the tool interference, improved surface prediction model is also suggested in cutting process by general cutters. The effectiveness of the proposed method is demonstrated through simulation study.

• Journal of Power System Engineering
• /
• v.13 no.3
• /
• pp.59-64
• /
• 2009

This study presents a new approach to pressure control of a impression cylinder for roll coater which is a kind of face pressure control between blanket roll and impression roll. Roll-to-Roll method for printing is a very useful tool for mass production such as RFID elements, smart sensors and solar cell devices. In this study, a decupling control strategy of the roll coater which is a combination of a cylinder system, a dry system and two pressure regulators with two pneumatic cylinders was discussed. Also, the characteristics of component such as a pressure regulator having a pressure reducing function and the movement of a blanket roll and a impression cylinder were analyzed using the Matlab software. From this results, the techniques of a shock and a vibration reduction were suggested.

• Journal of the Korean Society for Library and Information Science
• /
• v.31 no.1
• /
• pp.125-151
• /
• 1997

The writers have explored developmental strategies for Library and Information Science in Korea which would flexibly cope with changes in the social environment. They have identified two fronts in the struggle to improve the conditions in the present developmental stage of their academic discipline, i.e., self-reliance and 'movement' orientation.

• International Journal of Contents
• /
• v.3 no.3
• /
• pp.26-31
• /
• 2007

The purpose of this study is to explore the emergence of Chinese economy and the possibility of economic cooperation between the East Asian countries, which will facilitate the solution to structural problems in the economy and industries of these countries. This study presents that China will remain essential to the East Asian economy and changes are anticipated in its economic growth rate, growth strategy and risks. How to respond to them will be the critical movement that will determine the future course of the East Asian economy. To solve this question, firstly each government of East Asian countries needs to come up with strategies that will leverage China for their industrial upgrade and economic development even when the risks facing China are realized. Second, each government of East Asian countries should make a wise approach towards a free trade agreement between EATR and China.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.9 no.4
• /
• pp.275-280
• /
• 2009

A Genetic Algorithm (GA) is a kind of search techniques used to find exact or approximate solutions to optimization and searching problems. This paper discusses the design of a genetic algorithm-based intelligent parking system. This is a search strategy based on the model of evolution to solve the problem of parking systems. A genetic algorithm for an optimal solution is used to find a series of optimal angles of the moving vehicle at a parking space autonomously. This algorithm makes the planning simpler and the movement more effective. At last we present some simulation results.

• Journal of Information Technology Applications and Management
• /
• v.17 no.2
• /
• pp.133-154
• /
• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• Journal of Intelligence and Information Systems
• /
• v.1 no.2
• /
• pp.103-121
• /
• 1995

This study proposes a artificial neural network method to predict the time to buy and sell the stocks listed on the Korea Composite Stock Price Index(KOSPI). Four types (NN1, NN2, NN3, NN4) of independent networks were developed to predict KOSPIs up/down direction after four weeks. These networks have a difference only in the length of learning period. NN5 - arithmetic average of four networks outputs - shows an higher accuracy than other network types and Multiple Linear Regression (MLR), and buying and selling simulation using systems outputs produces higher reture than buy-and-hold strategy.

• International Journal of Railway
• /
• v.4 no.2
• /
• pp.29-33
• /
• 2011

High-speed rail study needs to focus on passenger movements as a key element of the planning process. A particular challenge is obtaining comprehensive information on high-speed rail passenger movements. A national preference stated survey was conducted from October to November of 2011 to meet this challenge through direct personal interviews of travelers between Seoul and Busan (the so called Kyung-Bu corridor). Over 40 interviewers were hired and trained to conduct personal interviews at several stations along locations within Kyung-Bu Seoul and Busan corridor. A total of 4,550 travelers were interviewed, furnishing an extensive database on high-speed rail passenger movements. The methodology and procedure employed to collect the national data for Korean high-speed train KTX are described. Specific issues investigated include survey design, questionnaire and strategy. Lessons learned from the high-speed rail passenger movement study provide insights for other countries contemplating similar high-speed rail studies.