• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.183-187
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• 1989

This paper presents on approach to the position control of a robot manipulator by using a decentralized adaptive control scheme. The large scale system is regarded as the system which consists of many subsystems having interconnection. In each subsystem, a local control system is composed by feedforward and feedback component, one computes the nominal torque from the Newton-Euler equation, the other computes the perturbation equation which reduce the position error of the manipulator along the nominal trajectory. A computer simulation studies was conducted to evaluate and compare the performances of the proposed manipulator control scheme with those of the PD control and centralized control schemes.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.678-682
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• 1988

Current substation SCADA system has only one control center where two or three operaters monitor and control more than 40 substations spreaded far and wide. The scope of this system is too wide to cope with the concurrent multiple accidents in electric network by the typhoon and large mow. This paper describes the method to organize the optimal structure of substation SCADA system using remote console and small scale control center.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.1-7
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• 1996

The grouping of parts into families and machines into cells poses an important problem for the improvement of productivity and quality in the design and planning of the flexible manufacturing system(FMS). This paper proposes a new algorithm of forming machine-part groups in case of the bottleneck machine problem and shows the numerical example. This algorithm could be applied to the large scale machine-part grouping problem.

• Journal of applied mathematics & informatics
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• v.19 no.1_2
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• pp.215-229
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• 2005

In this paper, constraint aggregation is combined with the adjoint and multiple shooting strategies for optimal control of differential algebraic equations (DAE) systems. The approach retains the inherent parallelism of the conventional multiple shooting method, while also being much more efficient for large scale problems. Constraint aggregation is employed to reduce the number of nonlinear continuity constraints in each multiple shooting interval, and its derivatives are computed by the adjoint DAE solver DASPKADJOINT together with ADIFOR and TAMC, the automatic differentiation software for forward and reverse mode, respectively. Numerical experiments demonstrate the effectiveness of the approach.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.37 no.12
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• pp.879-883
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• 1988

In this paper, self tuning control of interconnected systems are dealt in view point of large scale system control. The plant model is given in MIMO ARMA procss. This process is simlified as independent SISO ARMA processes having offset terma, which are considered as effects of interconnections. In each decentralized system, self tuning controller with instrumental variable method is adopted. As a result, this algorithm enables the paramter estimation to be unbiased and non-drift. This controller contains a new implicit offset rejection technique. Simulation results consider well with the analysis in case of linear interconnection.

• Journal of the Korean Professional Engineers Association
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• v.42 no.3
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• pp.27-31
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• 2009

Recent desalination plant system are being operated by applying one of the technologies as like MSF, MED and, or RO. The production cost of pure water from sea water by the desalination plant was U$9/m$^3$ in 1960, but now has been reduced to U$1/m$^3$ at present. The Power and Desalination Plant Project in Al Cobar of Saudi Arabia gave good chance to us export the similar plant systems actively to the world market. 1Hidd IWPP Project in Bahrain, Taweelah B Extension Project in Abu Dhabi of UAE and Ras Laffan B IWPP of Qatar are the recent large scale desalination projects under construction.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.04b
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• pp.471-476
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• 1995

This paper focues on development and implementation of a perfomance management algorithm for IEEE802.4 token bus networks to serve large-scale integrated manufacturing systems. Such factory automation networks have to satisfy delay constraints imposed on time-critical messages while maintaining as much network capacity as possible for non-time-critical messages. This paper presents the structure of a network performance manager that possesses the knowledge about perfomance management in a set of fuzzy rules and deriving its action through fuzzy inference mechanism. The efficacy of the performance management has been demonstrated by a series of simulation experiments.

• Animal cells and systems
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• v.5 no.3
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• pp.179-185
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• 2001

Two new species, Pedetontinus aureus and Pedetontinus rhombeus are described. Pedetontinus aureus is characterized by the peculiar scale pattern and long ovipositor, and Pedetontinus rhombeus by the large body size and field of short suberect setae of article III of maxillary palpus. The genus Pedetontinus amounts to four species including two new species of this study in Korea. Descriptions, remarks and biological notes are given.

• Genomics & Informatics
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• v.3 no.2
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• pp.52-54
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• 2005

Visualization of the homology information is an important method to analyze the evolutionary and functional meanings of genes. With a database containing model genomes of Homo sapiens, Mus muculus, and Rattus norvegicus, we constructed a web­based comparative analysis tool, BioCovi, to visualize the homology information of mammalian sequences on a very large scale. The user interface has several features: it marks regions whose identity is greater than that specified, it shows or hides gaps from the result of global sequence alignment, and it inverts the graph when total identity is higher than the threshold specified.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.52
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• pp.109-116
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• 1999

Flow Shop with Multiple Processors(FSMP) scheduling involves sequencing jobs in a flow shop where, at any processing stage, there exists one or more identical processors. Any methodology to determine the optimal mean flow time for this type of problem is NP-complete. This necessitates the use of sub-optimal heuristic methods to address problems of moderate to large scale. This paper presents global lower bounds on FSMP mean flow time problems which may be used to assess the quality of heuristic solutions when the optimal solution is unknown.