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고강영 ( Go Gang Yeong ),임명철 ( Im Myeong Cheol ),허주엽 ( Heo Ju Yeob ) 대한산부인과학회 2004 Obstetrics & Gynecology Science Vol.47 No.4
Female pelvic tuberculosis is almost invariably secondary to disease elsewhere, usually in the lungs. It is difficult to diagnose pelvic tuberculosis, because it is often a disease with absent or few non-specific symptoms. Pelvic tuberculosis should be co
김성순,이양규,고강영 대한상하수도학회 1990 상하수도학회지 Vol.4 No.1
The program used in this study was used to establish counterplain water quality control. The program takes in hydraulic data of the river, the loading condition of BOB, initial conditions of upstream water quality, and so on, as input data. The program was designed to devise measures after calculating annually the following data: the BOD of each position of the river, concentration distribution of DO, the highest value station of BOD and the lowest value station of DO, and so on. It would be possible to predict DO levels at the river quality station, using the mean values of each input parameter. the DO output would be nearer to the expected mean of the system. Future operating policies can be tested out by changing the inputs or modifying the model of the system. On the other hand this study would be important for any class of river, therefore it is perhaps best suited for the analysis of streches of river where critically poor quality conditions exist.
김종화(Jong-Hwa Kim),고강영(Kang-Young Ko),진강규(Gang-Gyoo Jin) 제어로봇시스템학회 2013 제어·로봇·시스템학회 논문지 Vol.19 No.9
A CSTR (Continuous Stirred Tank Reactor) is a highly nonlinear process with varying parameters during operation. Therefore, tuning of the controller and determining the transition policy of controller parameters are required to guarantee the best performance of the CSTR for overall operating regions. In this paper, a methodology employing the 2DOF (Two-Degree-of-Freedom) PID controller, the anti-windup technique and a fuzzy gain scheduler is presented for the temperature control of the CSTR. First, both a local model and an EA (Evolutionary Algorithm) are used to tune the optimal controller parameters at each operating region by minimizing the IAE (Integral of Absolute Error). Then, a set of controller parameters are expressed as functions of the gain scheduling variable. Those functions are implemented using a set of “if-then” fuzzy rules, which is of Sugeno"s form. Simulation works for reference tracking, disturbance rejecting and noise rejecting performances show the feasibility of using the proposed method.