• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1995년도 하계학술대회 논문집 B
• /
• pp.992-994
• /
• 1995

FLC has a good performance for complication system or unknown model by using human linguistic method but many part control design are based on expert knowledge or trial-error method and it is difficult to prove stability and robustness of controller. In this paper we improve this problem by setting fuzzy rules by dividing phase plane of error and rate of error change by switching surface. We can guarantee the stability in nonlinear system, and also in fuzzy PID type controller the complexity of controller design is increased by increasing the number of input variables and defining more range of operation if we want performance of more specific rules, thus we need to fine the method to decrease the number of control rules used in FLC design. In this paper the algorithm is validated by simulation using conventional FLC and proposed method.

• 한국원자력학회:학술대회논문집
• /
• 한국원자력학회 1996년도 춘계학술발표회논문집(1)
• /
• pp.349-354
• /
• 1996

SACOM(Simulation Analyser with Cognitive Operator Model) is being developed at Korea Atomic Energy Research Institute to simulate human operator's cognitive characteristics during the emergency situations of nuclear power plans. An operator model with error mechanisms has been developed and combined into SACOM to simulate human operator's cognitive information process based on the Rasmussen's decision ladder model. The operational logic for five different cognitive activities (Agents), operator's attentional control (Controller), short-term memory (Blackboard), and long-term memory (Knowledge Base) have been developed and implemented on blackboard architecture. A trial simulation with a scenario for emergency operation has been performed to verify the operational logic. It was found that the operator model with error mechanisms is suitable for the simulation of operator's cognitive behavior in emergency situation.

• Geomechanics and Engineering
• /
• 제3권3호
• /
• pp.207-218
• /
• 2011

This article describes laboratory research done on strength evaluations for stabilized samples made of tropical fibrous peat. The stabilizing agents used were ordinary Portland cement (OPC) as binding agent and blast furnace slag (BFS) as additive. Stabilized samples were tested for their strength through unconfined compressive strength (UCS) and California bearing ratio (CBR). Different dosage rates of OPC and BFS were used in trial and error experiments for the most effective combination for stabilized peat samples that were at their natural moisture content. Stabilized trial samples were air cured for 90 days. After detecting the most effective dosage rate in the trial samples, their values were used to prepare CBR samples at their optimum moisture content (OMC). CBR samples were then air cured from 1 to 90 days and tested under un-soaked and soaked conditions. The most effective dosage rate for the stabilized peat samples was found to be close to when 75% for OPC and 25% of BFS per total weight of OPC, and BFS. As an example, if 11.25% OPC, and 3.75% BFS are mixed with peat and compacted at their OMC and air cured for 90 days, stabilized peat will have an increase in CBR of 0.8% to 45 % for un-soaked and 20% for soaked conditions.

• 전자공학회논문지B
• /
• 제30B권12호
• /
• pp.87-97
• /
• 1993

To improve the limitation of fuzzy PI controller when is applied to systems of order higher than one, a fuzzy PI controller that fuzzily resets or amplifies the accumulated control input according to fuzzy rules defined on (error, change of error) space is proposed. The proposed controller structure was motivated by the characteristics of fuzzy PI controller that it generally gives unevitable large overshoot in trial of reducing rise time of response especially when a system of order higher than one is considered. Based on the observation that the undesirable characteristics of the fuzzy PI controller is caused by integrating control input excessively, even though the integrator is introduced to overcome steady state error, we propose a controller that clear out or doubles integrated control input in a fuzzy manner according to the situation to reduce rise time as well as overshoot. To show the usefulness of the proposed controller, it is applied to the systems that are difficult to stabilize or difficult to get satisfactory response by conventional fuzzy PI controllers.

• 한국음향학회지
• /
• 제38권4호
• /
• pp.371-377
• /
• 2019

본 논문에서는 2018년 10월 동해에서 수행된 장거리 수중음향통신의 해상실험 결과를 제시한다. 하나의 송신기와 16개의 수직 배열 수신기를 이용하여 수중음향통신 신호를 수집하였으며, 송신기와 수신기 사이의 거리는 최대 90 km로 하였다. 대표적인 디지털 주파수 변조 기법에 해당하는 BFSK(Binary Frequency Shift Keying) 방식과 BCSK(Binary Chirp Shift Keying) 방식으로 정보를 전송하였다. 실험 결과 60 km 전송 거리에서는 모든 경우에서 오류가 나타나지 않았으며, 90 km 전송 거리에서는 채널 부호화 기법이 적용되지 않은 비부호화 비트 오류율에 있어서 BFSK와 BCSK 두 방식 각각 평균 0.0197과 0.0007을 나타내었다.

• 제어로봇시스템학회논문지
• /
• 제17권9호
• /
• pp.897-901
• /
• 2011

This paper presents a TS (Takagi-Sugeno) type FLC (Fuzzy Logic Controller) with only 3 rules. The choice of parameters of FLC is very difficult job on design FLC controller. Therefore, the choice of appropriate linguistic variable is an important part of the design of fuzzy controller. However, since fuzzy controller is nonlinear, it is difficult to analyze mathematically the affection of the linguistic variable. So this choice is depend on the expert's experience and trial and error method. In the design of the system, we use a variety of response characteristics like stability, rising time, overshoot, settling time, steady-state error. In particular, it is important for a stable system design to predict the steady-state error because the system's steady-state response of the system is related to the overall quality. In this paper, we propose the method to choose the consequence linear equation's parameter of T-S type FLC in the view of steady-state error. The parameters of consequence linear equations of FLC are tuned according to the system error that is the input of FLC. The full equation of T-S type FLC is presented and using this equation, the relation between output and parameters can represented. As well as the FLC parameters of consequence linear equations affect the stability of the system, it also affects the steady-state error. In this study, The system according to the parameter of consequence linear equations of FLC predict the steady-state error and the method to remove the system's steady-state error is proposed using the prediction error value. The simulation is carried out to determine the usefulness of the proposed method.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
• /
• 제34권2호
• /
• pp.200-206
• /
• 2008

A variety of mechanisms may generate pain resulting from injury to the peripheral nervous system. None of these mechanisms is disease-specific, and several different pain mechanisms may be present simultaneously in any one patient. Diagnosis of neuropathic pain is often easily made from the information gathered on neurologic examination and from patient history. Evidence of sensory disturbances elicited by examination combined with laboratory tests confirming injury to peripheral nerve establishes the diagnosis of neuropathic pain. Although treatment of neuropathic pain may be difficult, optimum treatment can be achieved if dentist has a complete understanding of the therapeutic options. Pharmacologic therapy has been the mainstay of treatment. Selection of an appropriate pharmacologic agent is by trial and error since individual response to different agents, doses, and serum level are highly variable. An adequate trial for each agent tried is key to pharmacologic treatment of neuripathic pain. If pharmacologic treatment is not effective, nerve block using lidocaine, steroid and alcohol and neurectomy must be considered for treatment option.

• 통상정보연구
• /
• 제5권2호
• /
• pp.91-112
• /
• 2003

Nowadays, the spreading of electronic commerce using internet demands a lot of change in business environments, as it is called B2B. Especially, the B2B based EC have a majority rates over the 10% of whole EC markets. As the approach way and the core axis of e-Marketplace in B2B markets are changed more by the business section and industry section than by each company sections, all of the world leading company including Korea are trying to take a prior occupation in e-Marketplace market. In korea, B2B e-Marketplace are mainly leaded by ministry of commerce, industry and energy which choice the company, run a trial managed company. Above MOCIE efforts are now having a lot of trial and error. Accordingly, this thesis are focused on researching the construction trends of B2B e-Marketplace, the future prospects, and promotion plans.

• Asian-Australasian Journal of Animal Sciences
• /
• 제23권11호
• /
• pp.1445-1454
• /
• 2010

Two separate animal trials were conducted to evaluate the coincidence of dry matter intake (DMI) and average daily gain (ADG) predicted by the Cornell Net Carbohydrate and Protein System (CNCPS) and observed actually in crossbred growing bulls kept in a traditionally confined feeding system in China. In Trial 1, 45 growing Simmental${\times}$Mongolia crossbred F1 bulls were assigned to three treatments (T1-3) with 15 animals in each treatment. Trial 2 was conducted with 60 Limousin${\times}$Fuzhou crossbred F2 bulls allocated to 4 treatments (t1-4). All of the animals were confined in individual stalls. DMI and ADG for each bull were measured as a mean of each treatment. All of the data about animals, environment, management and feeds required by the CNCPS model were collected, and model predictions were generated for animals on each treatment. Subsequently, model-predicted DMI and ADG were compared with the actually recorded results. In the three treatments in Trial 1, 93.3, 80.0 and 73.3% of points fell within the range from -0.4 to 0.4 kg/d for DMI mean bias; similarly, in the four treatments in Trial 2, about 86.7, 73.3, 73.3 and 80.0% of points fell within the same range. These results indicate that the CNCPS model can accurately predict DMI of crossbred bulls in the traditionally confined feeding system in China. There were no significant differences between predicted and observed ADG for T1 (p = 0.06) and T2 (p = 0.09) in Trial 1, and for t1 (p = 0.07), t2 (p = 0.14) and t4 (p = 0.83) in Trial 2. However, significant differences between predicted and observed ADG values were observed for T3 in Trial 1 (p<0.01) and for t3 in Trial 2 (p = 0.04). By regression analysis, a statistically different value of intercept from zero for the regression equation of DMI (p<0.01) or an identical value of ADG (p = 0.06) were obtained, whereas the slopes were significantly different (p<0.01) from unity for both DMI and ADG. Additionally, small root mean square error (RMSE) values were obtained for the unbiased estimator of the two variances (DMI and ADG). Thus, the present results indicated that the CNCPS model can give acceptable estimates of DMI and ADG of crossbred growing bulls kept in a traditionally confined feeding system in China.

• 소성∙가공
• /
• 제7권3호
• /
• pp.225-232
• /
• 1998

This article is aimed primarily at establishing a process planning method for complex circular shells. For the deep drawing of complex shaped shell, the optimum process design is required to reduce the trial cost improve the quality, increase the productivity and shorten the delivery. The present approach which is related to the optimum process planning is based on the empirical knowledge through trial and error in the industrial field. In order to check the validity and the effectiveness of proposed work a sample process design has been applied to the multi-stepped deep drawing of com-plex shell considering the process variables such as drawing rate radius and blank development. In particular the difference between the limiting drawing rate and to optimum drawing rate has been discussed and the usefulness of present suggestion has been shown.