• The Transactions of the Korean Institute of Electrical Engineers
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• v.37 no.4
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• pp.205-213
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• 1988

It has been very difficult to solve the semiconductor problems by numerical analysis techique due to the strong nonlinearity of the governing equations. Thus, we proposed a double structured adaptive refinement scheme to the finite element analysis of semiconductor devices, which guarantees a succesive convergency and gives better quality to the solutions.i.e., in the first step, the main factor of divergence in the current continuity equation is eliminated and the next, the solution quality is improved by reducing the discontinuity of current. The result of test application to the GaAs MESFET model shows that the proposed method is much dffective and efficient in the numerical analysis of semiconductor.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.4
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• pp.17-21
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• 2002

Least mean square(LMS) algorithm one of the most popular algorithm in adaptive signal processing because of the simplicity and the small computation. But the convergence speed of time domain adaptive algorithm is slow when the spread width of eigen values is wide. Moreover we have to choose the step size well for convergency. in this paper, ie use adaptive algorithm of wavelet transform. And we propose a new wavelet based adaptive algorithm of wavelet transform. And we propose a high speed wavelet based adaptive algorithm with variable step size, which is linear to absolute value of error signal. We applied this algorithm to adaptive noise canceler. Simulation results are presented to compare the performance of the proposed algorithm with the usual algorithms.

• Journal of the Society of Naval Architects of Korea
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• v.31 no.3
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• pp.31-37
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• 1994

When a lot of input data are not distributed uniformly n a chord-span direction or when the given shape is complicated, it is very difficult to obtain an inverse matrix which represents the smooth Bi-cubic B-spline surface of the initial shape. To overcome this problem, we suggest image Surface Expansion Method(ISE Method) which is suggested for vertex creation of B-spline curves and surfaces. Its basic concept, convergency and verification are shown. Also B-spline curves and Surfaces represented by ISE Method were compared with those represented by the existing method which is based on the inverse matrix method, the pseudoinverse matrix method and the chord length approximation method for vertex yielding. Ship Hull Forms which have Knuckle, Bulbous Bow, Transom and Stern frame were represented by the ISE Method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.201-206
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• 2019

The purpose of this study is to identify and manage the problem of components discontinuity in the future based on the implementation of information systems to solve the problem of discontinuance of militaries parts, so as to solve the problem of discontinuance of components in the operation of the weapon systems and reduce excessive expenditure due to aging of the weapon system. The purpose is to prevent the discontinuance of components in the future by up-dating the production phenomena of parts manufactures periodically. Defense industries and R&D perood can expand users convenience by supporting selection of more efficient parts in weapon systems development and information of vast components information systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.193-201
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• 2019

The purpose of this study is to investigate the internal and extrnal factors of procurement of non-bid parts in the overseas militaries products for commercial purchase after deploy at Militaries. How we will continures to support of Primary of delivery to end users for all systems for maintenance support equipment products of Korean militaries. the purpose of this study is to propose a development direction for solving hard to find parts and non-bid products problem due to non-response of overseas repair parts suppliers.

• Fourth Industrial Review
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• v.1 no.1
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• pp.23-29
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• 2021

Purpose - Faced with the great change of the 4th industrial revolution and the addition of the COVID-19 pandemic, great confusion and crises are occurring in the retail environment as well. The purpose of this study is to suggest the necessity of establishing a methodology for applying retail tech to offline distribution channels in crisis. Research design, data, and methodology - After examining the recent developments of representative fields to which retail technology is applied, it is rearranged through consideration through previous studies. Result - The retail industry must transform into digital commerce through digital transformation. According to the development of retail technology, the distribution industry is at a time of change from the stage of brokering product and service transactions to a structure that creates value based on information on production and consumption. The business model of the distribution industry must be converted to a platform business model in which both consumers and producers become users. Conclusion - In-depth analysis of the cases has not been conducted, and there are limitations in that the development is somewhat insufficient due to insufficient prior research data. However, it is meaningful to suggest the necessity of finding a methodology for applying retail technology to overcome the crisis of offline retailers through quantitative research on the retail technology area.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.313-320
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• 2022

Discharge plans should be considered during rehabilitation depending on the location specified by the patients. This study aims to compare the demographics and rehabilitation function according to discharge location in people with rehabilitation one month after discharge. Among 300 discharged patients, 146 were discharged to their homes, 154 were transferred to facilities such as nursing homes. The results showed that rehabilitation function that scored using the modified Barthel Index were different according to discharge location. That is, the modified Barthel Index scored greater in home discharged patients than counter group. However, the home discharged patient's physical function and daily activities showed scores that required rehabilitation. Differentiated strategies should be needed for home and facility visit rehabilitation programs for rehabilitated patients.

• Structural Engineering and Mechanics
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• v.83 no.2
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• pp.259-272
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• 2022

The branch of electronics that uses an organic solar cell or conductive organic polymers in order to yield electricity from sunlight is called photovoltaic. Regarding this crucial issue, an artificial intelligence-based predictor is presented to investigate the vibrational behavior of the organic solar cell. In addition, the generalized differential quadrature method (GDQM) is utilized to extract the results. The validation examination is done to confirm the credibility of the results. Then, the deep neural network with fully connected layers (DNN-FCL) is trained by means of Adam optimization on the dataset whose members are the vibration response of the design-points. By determining the optimum values for the biases along with weights of DNN-FCL, one can predict the vibrational characteristics of any organic solar cell by knowing the properties defined as the inputs of the mentioned DNN. To assess the ability of the proposed artificial intelligence-based model in prediction of the vibrational response of the organic solar cell, the authors monitored the mean squared error in different steps of the training the DNN-FCL and they observed that the convergency of the results is excellent.

• Journal of Korea Multimedia Society
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• v.25 no.9
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• pp.1257-1265
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• 2022

Recognition of sign language is challenging due to the occlusion of hands, accuracy of hand gestures, and high computational costs. In recent years, deep learning techniques have made significant advances in this field. Although these methods are larger and more complex, they cannot manage long-term sequential data and lack the ability to capture useful information through efficient information processing with faster convergence. In order to overcome these challenges, we propose a word-level sign language recognition (SLR) system that combines a real-time human pose detection library with the minimized version of the gated recurrent unit (GRU) model. Each gate unit is optimized by discarding the depth-weighted reset gate in GRU cells and considering only current input. Furthermore, we use sigmoid rather than hyperbolic tangent activation in standard GRUs due to performance loss associated with the former in deeper networks. Experimental results demonstrate that our pose-based optimized GRU (Pose-OGRU) outperforms the standard GRU model in terms of prediction accuracy, convergency, and information processing capability.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.12
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• pp.24-29
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• 1997

Recently, Genetic Algorithm(GA), which is a stochastic direct search strategy that mimics the process of genetic evolution, is widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA is very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GA. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher porbability of convergence to global optimum compared to traditional techniques which take one-point search method. The methods consist of three genetics opera- tions named selection, crossover and mutation. In this study, a method of finding the omtimum size and topology of drilling machine is proposed by using the GA, For rapid converge to optimum, elitist survival model,roulette wheel selection with limited candidates, and multi-point shuffle cross-over method are adapted. And pseudo object function, which is the combined form of object function and penalty function, is used to include constraints into fitness function. GA shows good results of weight reducing effect and convergency in optimal design of drilling machine.