• Nuclear Engineering and Technology
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• v.54 no.7
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• pp.2435-2443
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• 2022

The once-through steam generator used in the small modular reactor needs to consider the stability of the outlet steam pressure and steam superheat of the secondary circuit to achieve better operating efficiency. For this reason, this paper designs a controllable operation scheme for the steam pressure and superheat of the small reactor once-through steam generator. On this basis, designs a variable universe fuzzy controller, first, design the fuzzy control rules to make the controller adjust the PI controller parameters according to the change of the error; secondly, use the domain adjustment factor to further subdivide the input and output domain of the fuzzy controller according to the change of the error, to improve the system control performance. The simulation results show that the operation scheme proposed in this paper have better system performance than the original scheme of the small reactor system, and controller proposed in this paper have better control performance than traditional PI controller and fuzzy PI controller, what's more, the designed control system also showed better anti-disturbance performance in lifting experiment between 100% and 80% working conditions. Finally, the experimental platform formed by connecting the digital small reactor with Matlab/Simulink through OPC(OLE for Process Control) communication technology also verified the feasibility of the proposed scheme.

• Journal of Korean Institute of Industrial Engineers
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• v.22 no.2
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• pp.255-263
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• 1996

Optical fiber systems play an essential role In today's telecommunications networks. The recently standardized SONET technology has made a ring structure the preferred architecture for inter-city communication networks. In designing a SONET with ring structure, we consider inserting optional cites, which are not necessary in constructing the SONET, but cost-effective in connecting essential nodes in the ring. This problem is modeled as Steiner ring problem. Efficient heuristic procedures are developed based on the procedures for the traveling salesman problem. Computational results show that the proposed algorithm is excellent compared to the optimal solution. The error bound by the proposed method is 2 - 6% in experimented problems.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2690-2692
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• 2005

CAN communication can minimize the interfacing lines between equipments because it is composed of only the input and output lines, also is used for automatic system including vehicle, aircraft, railway vehicles and robot because the reliability of data is high by the capability of data-related error detect and correcting function. It can also improve the low-reliable and inefficient system which is composed of the existing Wiring Harness(W/H), so in case of vehicle, it is used in place of the present ECU as the new electro-control unit. In this paper, we constructed the electro-control unit of vehicle by using CAN communication and implemented system that could monitor the condition of vehicle through the web or mobile by connecting the electro-control unit to imbedded system. Such a system is expected to be helpful to the intelligent vehicle and the adoption of ACC(Adaptive Cruise Control).

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.271-274
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• 2007

The finite element linear buckling analysis of folded plate structures using adaptive h-refinement methods is presented in this paper. The variable-node flat shell element used in this study possesses the drilling D.O.F. which, in addition to improvement of the element behavior, permits an easy connection to other elements with six degrees of freedom per node. The Box-typed structures can be analyzed using these developed flat shell elements. By introducing the variable node elements some difficulties associated with connecting the different layer patterns, which are common in the adaptive h-refinement on quadrilateral mesh, can be overcome. To obtain better stress field for the error estimation, the super-convergent patch recovery is used. The convergent buckling modes and the critical loads associated with these modes can be obtained.

• Journal of the Korean Society for Railway
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• v.8 no.1
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• pp.87-92
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• 2005

Numerous advance studies usually have focused on preventing human error through mechanization and automation; however, this study. by connecting with accidents caused by careless handling on the basis of the present aptitude test, aims at investigating an improving plan for the railroad safety management system. To attain this purpose, present situation and point at issue of the aptitude test were surveyed through the questionnaire. Through this research, the aptitude test on railroad safety might be systematically improved by reforming some institutional issues.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1486-1495
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• 2004

Numerous advance studies usually have focused on preventing human error through mechanization and automation; however, this study, by connecting with accidents caused by careless handling on the basis of the present aptitude test, aims at investigating an improving plan for the railroad safety management system. The purpose of this paper is to improve the efficient railroad management through the reduction of railroad accidents, by lessening the defective proportion, having a deadly impact on railroad business-regularity, confidence and safety. Through this research, the aptitude test on railroad safety might be systematically improved by reforming some institutional issues.

• Journal of the Korean Society of Safety
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• v.25 no.6
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• pp.197-202
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• 2010

This study deals with the accident models of arterial link sections by driving type. The objectives is to develop models by driving type using the accident data of 24 arterial links in Cheong-ju. In pursuing the above, this study gives particular emphasis to modeling such the accidents as the straight, lane change and others. The main results analyzed are as follows. First, the number of accidents is analyzed to account for about 59% in straight, 31% in lane change and 10% in others. Second, the number of left-turn lane as common variables, and the ADT, number of pedestrian crossings, connecting roads and link length as specific variables are selected in developing models(number of accident and EPDO). Third, 8 models which are all statistically significant are developed. Finally, RMSE of the driving type models was analyzed to be better than that of dummy variable.

• Journal of IKEEE
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• v.19 no.4
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• pp.479-485
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• 2015

A resistance deviation-to-time interval converter based on dual-slope integration using second generation current conveyors (CCIIs) is designed for connecting resistive bridge sensors with a digital system. It consists of a differential integrator using CCIIs, a voltage comparator, and a digital control logic for controlling four analog switches. Experimental results exhibit that a conversion sensitivity amounts to $15.56{\mu}s/{\Omega}$ over the resistance deviation range of $0-200{\Omega}$ and its linearity error is less than ${\pm}0.02%$. Its temperature stability is less than $220ppm/^{\circ}C$ in the temperature range of $-25-85^{\circ}C$. Power dissipation of the converter is 60.2 mW.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.2 no.1
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• pp.19-26
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• 1998

In this paper, Simulation result was studied by PID controller in series to the estblised neural networks controller. Neural network model is composed of two layers to evaluate tracking performance improvement. The regular dynamics was also studied for the expected error to be minimized by using Widrow-Hoff delta rule. As a result of the study, We identified that tracking performance improvement was developed more in case of connecting PID than conventional neural network controller and that tracking plant parameter in 251 sample was approached rapidly in case of time varying.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.4
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• pp.766-776
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• 2001

In the constructing of the multi layer neural network, the network topology is often chosen arbitrarily for different applications, and the optimum topology of the network is determined by the long processing of the trial and error. In this paper, we propose the automatic topology construction using the fuzzy rule that optimizes the neurons of hidden layer, and prune the weights connecting the hidden layer and the output layer during the training process. The simulation of pattern recognition, and the experiment of the mapping of the inverted pendulum showed the effectiveness of the proposed method.