• Journal of Korean Society of Rural Planning
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• v.2 no.1
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• pp.91-99
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• 1996

This study was accomplished to present a new paradigm of rural environmental planning for the purpose of changing a rural planner's acknowledgments. This study was composed of a follows, To search the structures and orders in rural environment on the point of four environmental contexts. First, environment contexts with spaces, society, and time. Second, environment contexts with spaces unit in human settlement. Third, environment contexts with correlation of physical environment, institutional environment, and social environment. Fourth, environment contexts with ecotope( physiotope + biotope) and landscape ecology. To analyze and criticize a present political situation of rural planning in Korea. To apply a paradigm of environmental planning for rural planning.

• Journal of Korean Society of Transportation
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• v.4 no.2
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• pp.59-72
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• 1986

The purposes of this paper are to review the concept and system structure of computer graphics and to discuss the applicability of computer graphics technique as an analysis tool in transportation studies. To do this, several applications of computer graphics used for analyzing and solving transportation system problems were described and illustrated. The results indicate that computer graphics are found to be powerful aids to the analysis and design of transportation systems that typically involve large data bases and several interacting components. The results also indicate that computer graphics can be a powerful tool for aiding planner, decision maker and citizen in making it easier to explain and interpret information through mapping and graphic display.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1396-1399
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• 1996

With the progress in process automation, it becomes necessary that a robot should have various sophisticated capabilities. A robot programming language is a tool that can give a robot such capabilities without any change in robot architecture. Especially a task level automatic programming system enables a robot able to perform a job intelligently. Therefore anyone who is not an expert on welding or robot programming can easily use it. In this research, basic automatic welding program is combined with workspace information, which makes users do an arc welding job automatically.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.168-173
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• 1991

A neural optimization network is proposed to control the redundant robot manipulators in an environment with the obstacle. The weightings of the network are adjusted by considering both the joint dexterity and the capability of collision avoidance of joint differential motion. The fuzzy rules are proposed to determine the capability of collision avoidance of each joint. To show the validities of the proposed method, computer simulation results are illustrated for the redundant robot of the planner type with three degrees of freedom.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.254-259
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• 1992

In this paper, we propose an optimal method for the tracking a trajectory of the end-effector of flexible robot arms with multiple joints. The proposed method finds joint trajectories and joint torques necessary to produce the desired end-effector motion of flexible manipulator. In inverse kinematics, optimized joint trajectories are computed from elastic equations. In inverse dynamics, joint torques are obtained from the joint equations by using the optimized joint trajectories. The equations of motion using finite element method and virtual work principle are employed. Optimal control is applied to optimize joint trajectories which are computed in inverse kinematics. The simulation of flexible planner manipulator is presented.

• IE interfaces
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• v.11 no.2
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• pp.1-11
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• 1998

In this paper, a case study is introduced on the development on a production planning system for the efficient control of work-in-process material flows. A special attention has been given to the prevention of the shortage of the automobile-components at the auto-assembly lines and the dynamic adaptation of the production plan to the continuously changing environment. The expertise of the production planner is analyzed and transformed into the logic of the software developed.

• Proceedings of the Optical Society of Korea Conference
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• 1989.02a
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• pp.214-217
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• 1989

The most attractive feature of semiconductor lasers as sources for coherent optical communication system is the ability to produce frequency modulation by modulation of the bias current. The frequency deviation of semiconductor lasers under direct modulation depends on the laser structure and modulation frequency. This paper describes a circuit modeling techniques for the directly frequency modulated CSP (Channeled Substrated Planner) semiconductor laser. Predictions from this model are compared with the other published results of sinusoidal frequency modulation below than 1 GHz.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.12
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• pp.1272-1277
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• 2014

This article describes a path planning algorithm for fixed-wing UAVs when a real terrain should be considered. Nowadays, many UAVs are required to perform mission flights near given terrain for surveillance, reconnaissance, and infiltration, as well as flight altitude of many UAVs are relatively lower than typical manned aerial vehicles. Therefore, real terrain should be considered in path planning algorithms of fixed-wing UAVs. In this research, we have extended a spline-$RRT^*$ algorithm to three-dimensional planner. The spline-$RRT^*$ algorithm is a $RRT^*$ based algorithm, and it takes spline method to extend the tree structure over the workspace to generate smooth paths without any post-processing. Direction continuity of the resulting path is guaranteed via this spline technique, and it is essential factor for the paths of fixed-wing UAVs. The proposed algorithm confirm collision check during the tree structure extension, so that generated path is both geometrically and dynamically feasible in addition to direction continuity. To decrease degrees of freedom of a random configuration, we designed a function assigning directions to nodes of the graph. As a result, it increases the execution speed of the algorithm efficiently. In order to investigate the performance of the proposed planning algorithm, several simulations are performed under real terrain environment. Simulation results show that this proposed algorithm can be utilized effectively to path planning applications considering real terrain.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.222-226
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• 2008

The construction industry has remained stagnant for a long time. So many researchers have wanted to solve this problem not only focusing on enhancement of construction process, but also introducing the culture of cooperation. The Last Planner System(LPS), one of the elementary techniques of Lean Construction, aims for improving the work reliability and reducing variability by measuring and managing the daily or weekly performance for overcoming the weakness of recent complex schedule management tools such as Critical Path Method. This research propose a framework for implementation of LPS conducted by owner focused on construction stage and introduce optimal owner participation model in plant construction, based on needs analysis for construction participants. Furthermore, this research introduce a modified needs analysis, so called IPBA(Importance-Performance-Betterment Analysis), and an advanced LPS procedure which add the needs analysis during pre-LPS and(or) main LPS stages.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.159-170
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• 2008

Nowadays, one of the important functionalities required from robot task planners is to generate plans to compose existing component services into a new service. In this paper, we introduce the design and implementation of a heuristic search planner, JPLAN, as a kernel module for component service composition. JPLAN uses a local search algorithm and planning graph heuristics. The local search algorithm, EHC+, is an extended version of the Enforced Hill-Climbing(EHC) which have shown high efficiency applied in state-space planners including FF. It requires some amount of additional local search, but it is expected to reduce overall amount of search to arrive at a goal state and get shorter plans. We also present some effective heuristic extraction methods which are necessarily needed for search on a large state-space. The heuristic extraction methods utilize planning graphs that have been first used for plan generation in Graphplan. We introduce some planning graph heuristics and then analyze their effects on plan generation through experiments.