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Kyungmo Sung,Seonghoon Jo,Jaewook Lee,Jeong Hoan Park,Young Hoon Park,Jeongjoo Moon,Sung June Kim,Joonsoo Jeong,Jonghwan Lee,Kyungsik Eom 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.2
Heating nanoparticles with a magnetic field could facilitate selective remote control of neural activity in deep tissue. However,current magnetothermal stimulation approaches are limited to single-channel stimulation. Here, we investigated variousdesigns for multichannel magnetothermal stimulation based on an array of resonant coils that are driven by a single loop coil. Using a tuning capacitor that allows resonant coils to resonate at the operating frequency, each coil’s ON and OFF resonancecan be controlled, enabling us to select stimulation channels. We found that smaller inner diameters of resonant coils producemore localized magnetic fields while larger coils produce magnetic fields over a longer distance. The constructed multichannelresonant coil arrays can provide a high enough magnetic field intensity to raise the temperature of nanoparticles by 8 °Cwhen we apply 35.2 W into the loop coil that is spaced 1 mm from the target neurons. This multichannel stimulation usinga simple resonant circuit approach would be useful for clinical applications of magnetothermal neural stimulation.
Jonghwan Lee,Sanghan Yoon,Jung-ho Lee,Sang-Jung Kim,Min-Suk Byon,Moon-Soo Kwon,Se-in Jang 한국산업경영시스템학회 2014 한국산업경영시스템학회 학술대회 Vol.2014 No.춘계
본 연구는 대구경북의 중소기업을 대상으로 전략유형과 성과관리시스템이 경영성과에 미치는 영향에 대한 연구를 통해 중소기업에 적합한 전략유형을 알아보고 그에 맞는 성과관리시스템의 설계를 통해 기업의 경영성과를 개선하고자 하였다. 연구결과 전략유형 중에서 기술혁신형과 생산중점형은 경영성과에 유의적인 영향을 미치는 것으로 나타났으며, 성과관리시스템은 재무적성과와 비재무적성과에 부분적으로 영향을 미치는 것으로 나타났다. 또한 전략유형과 성과관리시스템의 상호작용은 기술혁신형 기업의 경영성과에 유의적인 영향을 미치는 것으로 나타났다. 이러한 결과는 중소기업들이 전략유형에 맞는 성과관리시스템의 구축을 통해 경영성과를 향상 시킬 수 있음을 지지하고, 이를 통해 기업들은 자원의 제약과 무한 경쟁을 이겨내고 지속적인 성장을 할 수 있을 것으로 보인다. The purpose of this study is to whether management strategy types are archived improving the organizational performance and strategic performance management system are makes a significant influence on the organizational performance. Another objective is to identify whether the interaction between management strategy types and strategic performance management system makes a significant influence on the organizational performance. The results of this study indicate that diversity performance measures(strategy types) are effect partially presented on the firm's performances. And, firms which have the higher using diversity performance measures(strategy types) are achieve the higher firm's performances than lower using firm's(strategy types). And, the interaction of Management strategy types and diversity performance measures are effect partially presented on the firm's performances.
Optimization of the Distribution Plan and Multi-product Capacity using Genetic Algorithm
Jonghwan Lee,Do-Yeong Wie,Ji-Yong Jeong,Jung-ho Lee,Sang-Jung Kim,Min-Suk Byon,Moon-Soo Kwon,Se-in Jang 한국산업경영시스템학회 2014 한국산업경영시스템학회 학술대회 Vol.2014 No.춘계
Supply Chain Management(SCM) is getting important, because size of the company is getting bigger and the kinds of product are various. In the case of manufacturing corporation, for the optimization of SCM, we have to make production and distribution plan by considering the various fluctuation in the aspect of integration. In this paper, first, It proposed the reasonable operational way of the SCM about when the customer’s demanding is various and demanding expectation fluctuates in capacity standardization of producer stage. Second, the paper proposed the management way for demanding by considering confirmed demanding information, related inventory expense and demanding shortage expense when we make production and distribution plan. The paper applied the genetic algorithm proved for current usefulness. it proposed the optimal operational way for SCM by dividing into 2 ways for dealing with the duration of confirmed demanding information and various fluctuation.
Knowledge Integration into deep learning in dynamical systems: an overview and taxonomy
Sung Wook Kim,Iljeok Kim,Jonghwan Lee,Seungchul Lee 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.4
Despite the sudden rise of AI, it still leaves a question mark to many newcomers on its widespread adoption as it exhibits a lack of robustness and interpretability. For instance, the insufficient amount of training data usually hinders its performance due to the lack of generalization, and the black box nature of deep neural networks does not allow for a precise explanation behind its mechanism preventing a new scientific discovery. Such limitations have led to the development of several branches of deep learning one of which include physics-informed neural networks that will be covered in the rest of this paper. In this overview, we defined the general concept of informed deep learning followed by an extensive literature survey in the field of dynamical systems. We hope to make a contribution to our mechanical engineering community by conveying knowledge and insights on this emerging field of study through this survey paper.
A Study of Developing Wear Tester to Measure and Minimize Particle Levels in Cleanroom
Sung HoChang,Sang Han Yoon,Kwonhak Noh,Jonghwan Lee 한국산업경영시스템학회 2012 한국산업경영시스템학회 학술대회 Vol.2012 No.추계
Cleanroom could be largely classified into industrial cleanroom that can be contaminated by particlesand bio-cleanroom that can be contaminated by biological particles. Electrical manufacturing companies such as precision machines and electrical parts essentially have industrial cleanroom facilities and clean technologies to produce defects free products due to particles.Industrial cleanroom should be controlled in respect of 4M1E to prevent from foreign materials of submicro unit and to keep out contamination sources from outside. In this paper, a concept for a quantitative methodology to measure the particles from running components was suggested by combining both newly making clean booth such as wear tester and laser particle counter.
장성호(Sung-Ho Chang),권문수(Moonsoo Kwon),김근태(Geuntae Kim),이종환(Jonghwan Lee) 한국산업경영시스템학회 2021 한국산업경영시스템학회지 Vol.44 No.2
Meta-heuristic algorithms have been developed to efficiently solve difficult problems and obtain a global optimal solution. A common feature mimics phenomenon occurring in nature and reliably improves the solution through repetition. And at the same time, the probability is used to deviate from the regional optimal solution and approach the global optimal solution. This study compares the algorithm created based on the above common points with existed SA and HS to show advantages in time and accuracy of results. Existing algorithms have problems of low accuracy, high memory, long runtime, and ignorance. In a two-variable polynomial, the existing algorithms show that the memory increases and the accuracy decrease. In order to improve the accuracy, the new algorithm increases the number of initial inputs and increases the efficiency of the search by introducing a direction using vectors. And, in order to solve the optimization problem, the results of the last experiment were learned to show the learning effect in the next experiment. The new algorithm found a solution in a short time under the experimental conditions of long iteration counts using a two-variable polynomial and showed high accuracy. And, it shows that the learning effect is effective in repeated experiments.