• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.23-37
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• 2024

Digital twin is an M&S (Modeling and Simulation) technology designed to solve or optimize problems in the real world by replicating physical objects in the real world as virtual objects in the digital world and predicting phenomena that may occur in the future through simulation. Digital twins have been elaborately designed and utilized based on data collected to achieve specific purposes in large-scale environments such as cities and industrial facilities. In order to apply this digital twin technology to real life and expand it into user-customized service technology, practical but sensitive issues such as personal information protection and personalization of simulations must be resolved. To solve this problem, this paper proposes a federated learning-based accelerated client training method (FACTS) for personalized digital twins. The basic approach is to use a cluster-driven federated learning training procedure to protect personal information while simultaneously selecting a training model similar to the user and training it adaptively. As a result of experiments under various statistically heterogeneous conditions, FACTS was found to be superior to the existing FL method in terms of training speed and resource efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3271-3276
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• 2010

Preparing to reclaim the wartime operational control of South Korea's armed forces, Korea Military have to embattle the right capability in relation to conduct of the war. Although Korea Military are operating Joint Exercise Simulation Training System, they are having a lot of difficulties because of interoperability according to a joint exercise with USA military and pursue an independent korea military models. Therefore this study analyzes technical problems and proposes some measures to establish Exercise Simulation System out of regard for South Korea's self defense.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.21-28
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• 2009

This research made an actual study of the Internal Control Systems on medium and small business company located on Gumi industry area. From this study, we learned that work scope, approval procedure and proof documents are well prepared, but some problem of the lack of communication has arose and it should be more complementary. Findings from this study show that the materials and purchasing processes are generally well-operated, but the information-sharing and training related to materials code are still insufficient and require more complementary systems.

• Journal of Arbitration Studies
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• v.27 no.4
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• pp.115-131
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• 2017

The purpose of this paper is to consider key issues and to categorize international arbitrations on industrial significance. Thus this study focused on synthesizing industrial significance, retaining international competitiveness, and securing national implications of international arbitration as a legal service trade system. To obtain these goals, the liberalization of international arbitration proxy service, invitation of international arbitration board regional offices such as PCA to AAA-ICDR, and drawing of international mediation institutions to invigorate the legal service market should be exerted. To revitalize the international arbitration, it would be renounced the control rights of economy-related disputes with internationalism while policies should be improved to enhance the execution of arbitration agreements and awards. It is emphasized the necessities of the process through the institutional mediation agency to resolve more court mediation and international dispute cases, and to handle international arbitration cases after training professional legal experience through cooperation with international arbitration boards such as LCIA, ICC, AAA, and PCA. Ultimately, to revitalize the international arbitration, the industrial significance of arbitration should be analyzed and the critical industrial influence of arbitration such as in the semiconductor, petrochemistry, and ICT sectors should be expanded to gain the competitiveness of the global legal service market with the assistance of institutional complementary measures.

• Journal of Engineering Education Research
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• v.7 no.2
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• pp.22-39
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• 2004

The study aims to explore whether the management and operation of national technique qualification system has a suitable role division between the government and non-government and to design plans for building it. To do so, a direction for role division between the government and non-government was investigated in the management, national technique qualification system. In addition, limitations in the operation of government-centered qualification system were pointed out by analyzing the present status on the management and operation of national technique qualification system and plans for role division between the government and non-government were proposed in the management and operation of qualification system. Various methods were applied to this study as its methodology: the collection and analysis of the relevant literatures, surveys targeting companies(internal qualification managers) and associations by industrial classification(owners' groups) as respondents, holding expert consultations for setting a direction in dividing roles between the government and non-government, interviews with companies and associations by industrial classification for gathering their opinions, forming and operating a collaborative research group consisting of specialists in qualification system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.517-524
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• 2010

Recently, the size of online texts and textual information is increasing explosively, and the automated classification has a great potential for handling data such as news materials and images. Text classification system is based on supervised learning which needs laborous work by human expert. The main goal of this paper is to reduce the manual intervention, required for the task. The other goal is to increase accuracy to be high. Most of the documents have high complexity in contents and the high similarities in their described style. So, the classification results are not satisfactory. This paper shows the implementation of classification system based on ETOM+RPost algorithm and classification progress using SPAM data. In experiments, we verified our system with right-training documents and wrong-training documents. The experimental results show that our system has high accuracy and stability in all situation as 16% improvement in accuracy.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.18 no.4
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• pp.430-435
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• 2009

The cooling stage greatly affects the product quality in the injection molding process. The cooling system that minimizes temperature variance in the product surface will improve the quality and the productivity of products. The cooling circuit optimization problem that was once solved by a response surface method with 4 design variables. It took too much time for the optimization as an industrial design tool. It is desirable to reduce the optimization time. Therefore, we tried the back-propagation algorithm of artificial neural network(BPN) to find an optimum solution in the cooling circuit design in this research. We tried various ways to select training points for the BPN. The same optimum solution was obtained by applying the BPN with reduced number of training points by the fractional factorial design.

• Journal of Drive and Control
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• v.16 no.4
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• pp.16-22
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• 2019

The electro-hydraulic training device (TP511) provided by Festo Didactic are widely used, but teaching materials do not include mathematical modeling. Thus, there is a limit for full-scale learning about the electro-hydraulic servo system by using this equipment. In this study, for the purpose of improving students' understanding of the classical control and modern control Festo's electro-hydraulic servo training device (TP511) was mathematically modeled and parameter values were calculated by examining the characteristics of each component. And P, PI, PD, and PID controllers highly used in the industrial field, were designed by using the root locus method to achieve the optimal gains and used for simulation and experiments using the Festo's electro-hydraulic servo training apparatus. The validity of the derived mathematical model and the calculated parameter values were verified through simulation and experiment. It was found that the p control can achieve the control target more effectively than the pid control for Festo's electro-hydraulic servo training system by using the root locus method.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.161-168
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• 2009

Ubiquitous application is in need of high-level technology to meet various requests for ubiquitous service. In order to adopt ubiquitous technology in not only pilot projects but also regional services, many projects like u-City are implemented in and outside the country. RFID has been known as one of the important technology to provide with core benefits of Ubiquitous services. Because each band of RFID technology has merits and demerits concurrently, single-band RFID system has limitations for various RFID services. Thus, we developed dual-band RFID system enable to provide with 13.56MHz and 2.45GHz RFID service at the same time to compensate the shortage of single-band RFID system. Also we have considered the way that the firmware would control signals without collision, studied battery life and range for tag, and made hardware for dual-band RFID service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.150-166
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• 2020

Based on the theory of cognitive reserve, we undertook this study to develop a cognitive function training program for woman in menopausal transition with complaints of declining in cognitive function. The program was established by applying the analysis, design, and development stages of the network-based instructional system designed by Jung. The cognitive function training program developed by us is an was an 8-week program composed of cognitive and video training using a mobile application. The program consists of 24 sessions, each with 20-30 minutes of duration, to be completed 3 sessions per week. The contents of the cognitive function training comprise of memory, attention, language function, and scenario-based problem-solving for executive functions, all of which are cognitive areas found to be the most vulnerable for menopausal women. The educational contents were developed for eight subject areas, one subject area per week, including the definition of menopause, its causes and symptoms, menopause and brain function, etc. During the pilot test, the cognitive function training program was applied to 10 menopausal women who complained of cognitive function decline. The results indicated that, after eight weeks of training, the overall cognitive function of participants increased, revealing statistically significant differences (t=-3.04, p=.014) after the program was completed. The mobile app-based cognitive function training program might not only improve patients' memory functions but also potentially reduce the incidence of dementia.