• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2005년도 공동추계학술대회
• /
• pp.379-390
• /
• 2005

In this paper, we introduce a new combinatorial auction mechanism - N-Bilateral Optimized Combinatorial Auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers optimized trading for multi-suppliers and multi-purchasers in the supply chain. We design the N-BOCA system from the perspectives of architecture, protocol, and trading strategy. Under the given N-BOCA architecture and protocol, auctioneers and bidders have diverse decision strategies for winner determination. This needs flexible modeling environments. Hence, we propose an optimization modeling agent for bid and auctioneer selection. The agent has the capability to automatic model formulation for Integer Programming modeling. Finally, we show the viability of N-BOCA through prototype and experiments. The results say both higher allocation efficiency and effectiveness compared with I-to-N general combinatorial auction mechanisms.

• Nuclear Engineering and Technology
• /
• 제50권6호
• /
• pp.877-885
• /
• 2018

Various controllers such as proportional-integral-derivative (PID) controllers have been designed and optimized for load-following issues in nuclear reactors. To achieve high performance, gain tuning is of great importance in PID controllers. In this work, gains of a PID controller are optimized for power-level control of a typical pressurized water reactor using particle swarm optimization (PSO) algorithm. The point kinetic is used as a reactor power model. In PSO, the objective (cost) function defined by decision variables including overshoot, settling time, and stabilization time (stability condition) must be minimized (optimized). Stability condition is guaranteed by Lyapunov synthesis. The simulation results demonstrated good stability and high performance of the closed-loop PSO-PID controller to response power demand.

• 대한기계학회논문집A
• /
• 제29권1호
• /
• pp.38-44
• /
• 2005

Many mid-sized companies in Korean automotive industry have attempted to solve the lack of human power, to control the quality of components, to improve the production rate, and to innovate the manufacturing line. The goals of this study are to analyze the production rate of an automotive component manufacturing line using simulation software, to construct a Flexible Automation Subassembly (FAS) system and to suggest an optimized layout design using FAS line. In this research, the simulation model for manufacturing line was developed and used the realistic data of a medium sized company in Korean automotive industry. To complete this research, a simulation software 'ARENA' was used. This research analyzed the work distribution strategy and cycle time element for production flow and proposed an optimized layout to resolve line balancing problem which would bring the improved production rate.

• 드라이브 ㆍ 컨트롤
• /
• 제20권4호
• /
• pp.54-63
• /
• 2023

High and intermittent loading cycles induce fatigue damage to transmission components, resulting in premature gearbox failure. To identify gearbox defects, numerous vibration-based diagnostics techniques, using several artificial intelligence (AI) algorithms, have recently been presented. In this paper, an optimized deep belief network (DBN) model for gearbox problem diagnosis was designed based on time-frequency visual pattern identification. To optimize the hyperparameters of the model, a particle swarm optimization (PSO) approach was integrated into the DBN. The proposed model was tested on two gearbox datasets: a wind turbine gearbox and an experimental gearbox. The optimized DBN model demonstrated strong and robust performance in classification accuracy. In addition, the accuracy of the generated datasets was compared using traditional ML and DL algorithms. Furthermore, the proposed model was evaluated on different partitions of the dataset. The results showed that, even with a small amount of sample data, the optimized DBN model achieved high accuracy in diagnosis.

• 대한기계학회논문집B
• /
• 제35권1호
• /
• pp.9-15
• /
• 2011

본 연구에서는 3 차원 전산 열유동해석을 통하여 형상법칙에 근거하여 개발된 냉각판의 열수력학적인 특성을 분석하였다. 서펜타인 형상을 포함하여 최적화, 최적화되지 않은 1, 2 차 형상 총 5 개 형상을 대상으로 동일한 구속조건을 부여함으로써 유동저항, 열저항 및 분지유로에서의 유동균일도를 상호 비교함으로써 냉각판의 성능평가를 수행하였다. 그 결과, 최적화된 1, 2 차 형상 구조가 최적화되지 않은 경우와 비교하여 훨씬 적은 압력손실을 나타내었으며, 압력손실을 기준으로 최적화된 2 차 형상 구조가 가장 우수한 유동 구조를 나타내었다. 또한, 최적화된 1, 2 차 형상구조의 열저항 및 유동 분배성능도 기존에 사용되는 유로형상과 비교하여 모두 우수한 성능을 보였다.

• 생물정신의학
• /
• 제18권4호
• /
• pp.232-238
• /
• 2011

Objectives Optimized voxel based morphometry (VBM) has been increasingly applied to investigate differences in the brain morphology between a group of patients with mild cognitive impairment (MCI) and control subjects. Optimized VBM permits comparison of gray matter (GM) volume at voxel-level from the entire brain. The purpose of this study was to assess the regional GM volume change measured by optimized VBM in MCI subjects compared to controls. Methods Twenty patients with MCI and 20 control subjects with normal cognition were recruited for this study. We applied the optimized VBM protocol to the image data including study-specific template and the modulation of the data with the Jacobian determinants. GM volume differences between the MCI subjects and the control subjects and their correlations with the neuropsychological performances were investigated. Results Optimized VBM analysis revealed GM volume reduction in hippocampus, precentral gyrus, insula and parietal operculum in the MCI group compared to the control group (family wise error corrected p < 0.05). Korean version of the Consortium to Establish a Registry for Alzheimer's disease (CERAD-K) word list recall scores were significantly correlated with the GM volumes of hippocampus, precuneus and posterior cingulate in the MCI group (FWE corrected p < 0.05). Conclusions The results confirm previous findings of atrophic changes in medial temporal lobe and parietal lobe in the MCI group and suggest that these abnormalities may be related with cognitive decline and prognosis in patients with MCI.

• 한국시뮬레이션학회논문지
• /
• 제24권2호
• /
• pp.1-9
• /
• 2015

다양한 변수들이 존재하는 현대의 전투전장에서는 운용전술에 따라 전투의 양상이 결정되기 때문에 최적화된 운용전술을 도출하는 연구가 필요하다. 기존의 M&S(Modeling & Simulation) 연구에서는 몬테 칼로 실험을 통해 변수들을 분석하는 것이 일반적이다. 그러나 이 방법은 상호 복합적으로 작용하는 다수의 변수들의 모든 조합에 대해 시뮬레이션을 수행하기 때문에, 많은 수행시간이 소요되고 최적의 운용전술 도출을 위한 별도의 분석이 필요하다. 본 논문에서는 최적화 요소를 찾는 전산탐색 기법 중 하나인 DPSO(Discrete binary version of PSO) 알고리즘을 기반으로 하는 최적화 시뮬레이션 프레임워크를 제안하였다. 최적화 시뮬레이션 프레임워크는 짧은 시간 내에 최적화된 운용전술을 도출하기 위하여 설계되었다. 본 연구에서는 아군 수상함이 적 어뢰로부터 회피하는 사례를 적용하여 최적화 시뮬레이션 프레임워크의 탐색 성능을 확인하였다. 이를 통해 최적화 시뮬레이션 프레임워크의 효율성을 제시하였다.

• 대한한의진단학회지
• /
• 제16권1호
• /
• pp.9-18
• /
• 2012

Objectives The aim of this study is to propose an optimized tongue colour interpolation method to achieve accurate tongue image rendering. Methods We selected 60 colour chips in the chips of DIC color guide selector, and then divided randomly the colour chips into two groups. The colour chips of a group (Gr I) were used for finding the optimized colour correction factor of error and those of the other group (Gr II) were used for verifying the correction factor. We measured colour value of the Gr I colour chips with spectrophotometer, and took the colour chips image with a digital tongue image system (DTIS). We adjusted colour correction factor of error to equal the chip colour from each method. Through that process, we obtained the optimized colour correction factor. To verify the correction factor, we measured colour value of the Gr II colour chips with a spectrophotometer, and took the colour chips image with the DTIS in the two types of colour interpolation mode (auto white balance mode and optimized colour correction factor mode). And then we calculated the CIE-$L^*ab$ colour difference (${\Delta}E$) between colour values measured with the spectrophotometer and those from images taken with the DTIS. Results In auto white balance mode, The mean ${\Delta}E$ between colour values measured with the spectrophotometer and those from images taken with the DTIS was 13.95. On the other hand, in optimized colour correction factor mode, The mean ${\Delta}E$ was 9.55. The correction rate was over 30%. Conclusions In case of interpolating colour of images taken with the DTIS, we suggest that procedure to search the optimized colour correction factor of error should be done first.

• 대한방사선기술학회지:방사선기술과학
• /
• 제40권4호
• /
• pp.575-580
• /
• 2017

Moire artifact는 미세병변과 주파수 대역이 중첩되기 때문에 moire artifact를 제거하는 Image processing software를 사용할 경우 미세 병변의 손실을 가져올 수 있다. 본 연구에서는 SD(Sprague Dawley) Rat에 microcalcification과 microfracture와 같은 미세병변을 임의로 형성하여 영상화하고, reference 영상과 grid suppression software를 사용한 영상, optimizied grid 영상을 비교 분석하였다. 영상은 두 명의 영상의학과 전문의가 컨소시엄을 형성하여 판독하였고, 판독 결과 값은 McNemar's test 이용하여 평가하였다. 73개의 microcalcifications 중 Grid suppression후 13 cases에서, optimized grid를 사용한 영상은 3 cases에서 영상의 손실이 확인되어 Grid suppression후의 영상이 통계적으로 유의하게 영상 손실을 발생하고 있음을 보여주고 있다(p=0.021). 총 53개의 fracture line은 Grid suppression을 시행한 후 영상에서 19 cases가 영상의 손실을 보였고, optimized grid를 사용한 영상에서는 영상손실이 없는 것으로 판독되었다. 따라서 미세병변을 진단하는 영상에 있어 moire artifact를 제거하기 위한 grid suppression software 사용은 신중하게 고려되어야 할 것이다.

• Safety and Health at Work
• /
• 제10권2호
• /
• pp.219-223
• /
• 2019

Background: Ice cooling vests can cause tissue damage and have no flexibility. Therefore, these two undesirable properties of ice cooling vest were optimized, and the present study was aimed to compare the impact of the optimized ice cooling vest and a commercial paraffin cooling vest on physiological and perceptual strain under controlled conditions. Methods: For optimizing, hydrogel was used to increase the flexibility and a layer of the ethylene vinyl acetate foam was placed into the inside layer of packs to prevent tissue damage. Then, 15 men with an optimized ice cooling vest, with a commercial paraffin cooling vest, and without a cooling vest performed tests including exercise on a treadmill (speed of 2.8 km/hr and slope of %0) under hot ($40^{\circ}C$) and dry (40 %) condition for 60 min. The physiological strain index and skin temperature were measured every 5 and 15 minutes, respectively. The heat strain score index and perceptual strain index were also assessed every 15 minutes. Results: The mean values of the physiological and perceptual indices differed significantly between exercise with and without cooling vests (P < 0.05). However, the difference of the mean values of the indices except the value of the skin temperature during the exercises with the commercial paraffin cooling vest and the optimized ice cooling vest was not significant (P > 0.05). Conclusions: The optimized ice cooling vest was as effective as the commercial paraffin cooling vest to control the thermal strain. However, ice has a greater latent heat and less production cost.