• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2003년도 추계학술대회
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• pp.167-174
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• 2003

BPO(Business Process Outsourcing) is defined as outsourcing the management and operation of the IT intensive business process to another company that has specialty in managing the process. In the outsourcing arrangement, the design of the effective control mechanisms is essential to the success of the outsourcing. The purpose of this study is to investigate the effective control mechanisms between two organizations in a BPO arrangement. The specific research questions put forth are as follows: (1)What are the control issues in relation to BPO? (2)How the control mechanisms in the successful BPO arrangement are designed? and (3)What kind of effect or change do the designed control mechanisms have on the buyer's job process in terms of BPO? The results of this study found that the following mechanisms are effected in BPO setting: (1)Automation (2)Standardization & Modularity (3)Embedding (4)Balanced control (5)control segmentation (6)hierarchy (7)output/behavior control 8)back-end control 9)informal control.

• Transactions on Control, Automation and Systems Engineering
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• 제2권3호
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• pp.196-200
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• 2000

A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used fur on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

• 한국생산제조학회지
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• 제7권4호
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• pp.50-55
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• 1998

Mould level control system for continuous casting process involves stick-slip friction in the sliding gate , time-delay, non-linearity, and certain uncertainties such as friction force variations between molten steel and the inner wall of mould. In this paper, sliding mode control technique was used to solve these complex control problem. The controller is then designed and implemented onto the continuous casting process. Testing result shows that sliding mode controller can decrease the fluctuating magnitude of the mould level and is superior to the existing PID controller.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.113-117
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• 2003

In the industrial field nowadays the information that needs to be handled arc increasing and requires faster speed in contrast with PLC(Programmable Logic Controller) or DCS(Distributed Control System) based control systems these days. The work environment these days are mostly based on PC, so the control systems are wanted in PC. At Fieldbus used automated systems performing distributed process control by PC performs and combines into one system in order to maximize the increase of productivity, lower the expense, planning constructing and maintaining the reliance of automation. These latest automation systems unites process, makes distributed control process able, and can control and supervise at remote PC.

• Transactions on Control, Automation and Systems Engineering
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• 제2권2호
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• pp.136-139
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• 2000

A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

• JSTS:Journal of Semiconductor Technology and Science
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• 제11권1호
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• pp.1-5
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• 2011

To enter next process control, numerous approaches, including run-to-run (R2R) process control and fault detection and classification (FDC) have been suggested in semiconductor manufacturing industry as a facilitation of advanced process control. This paper introduces a novel type of optical plasma process monitoring system, called plasma eyes chromatic system (PECSTM) and presents its potential for the purpose of fault detection. Qualitatively comparison of optically acquired signal levels vs. process parameter modifications are successfully demonstrated, and we expect that PECSTM signal can be a useful indication of onset of process change in real-time for advanced process control (APC).

• Journal of Information Processing Systems
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• 제14권3호
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• pp.607-620
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• 2018

The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1371-1374
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• 2004

The control system design of 2-DOF for SISO process by root locus technique is not complicated and efficiently. It can design the control system to have the transient and steady state responses, and do not adjust the gain of process controller later. However, due to control system design for MIMO process, by root locus technique, there is not exact method. This paper is presents the control system design method for Quadruple-Tank Process, by using root locus technique for the structure of 2-DOF control system. The design procedures are first decentralized then using the relative gain array, and finally 2-DOF controller design is applied.

• 한국정밀공학회지
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• 제15권2호
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• pp.75-80
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• 1998

Process information is known to have the continuous distribution in many manufacturing processes. Generalized p-chart has been developed for controlling processes by classifying the information characteristics into several groups. But it is improper to describe continuous processes with the classified process informal ion, which is based on the classical set concept. Fuzzy control chart, has been developed for the control of linguistic data, but it is also based on the dichotomous notion of classical set theory. In this paper, fuzzy sampling method is studied in order to process the uncertain data properly. The method is incorporated with the fuzzy control chart. Statistical characteristics of the fuzzy representative value are utilized to device the fuzzy-statistical control chart. The fuzzy-statistical control chart is compared with the generalized p-chart and both the sensitivity to the process information distribution change pared robustiness against the noise on the process information of the fuzzy-statistical control chart are shown to be superior.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1998년도 춘계공동학술대회 발표논문집 IMF시대의정보화 추진전략
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• pp.129-135
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• 1998

The present automated manufacturing environment is very different when the classical statiscal process control method based on batch processing were used. Therefore these must be replaced by automated statiscal process control method. In this point of view , this study intends to develop the automated statiscal process control method which can be implemented in the proesent automated manufacturing environment . Specially this study suggested modified control limit line and developed the rule to identify the special cause of the manufacturing process in the aspect of the ppm manegement.