• Annual Conference of KIPS
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• 2023.11a
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• pp.151-153
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• 2023

Federated learning (FL)-based network intrusion detection techniques have enormous potential for securing the Industrial Internet of Things (IIoT) cybersecurity. The openness and connection of systems in smart industrial facilities can be targeted and manipulated by malicious actors, which emphasizes the significance of cybersecurity. The conventional centralized technique's drawbacks, including excessive latency, a congested network, and privacy leaks, are all addressed by the FL method. In addition, the rich data enables the training of models while combining private data from numerous participants. This research aims to create an FL-based architecture to improve cybersecurity and intrusion detection in IoT networks. In order to assess the effectiveness of the suggested approach, we have utilized well-known cybersecurity datasets along with centralized and federated machine learning models.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.530-535
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• 2002

Pneumatic control system has been applied to build many industrial automation systems. But most of them are sequence control type because of their low costs, safety, reliability, etc. Pneumatic servo system is rarely applied to real industrial fields because accurate position control is very difficult due to its nonlinearity and compressibility of air. In pneumatic servo control system, a pneumatic servo valve can be applied, But it is very expensive and has no advantage of low cost compared with a common pneumatic system. This paper is concerned with the accurate position control of a rodless pneumatic cylinder using on/off solenoid valve. A novel Intelligent Modified Pulse Width Modulation(MPWM) is newly proposed. The control performance of this pneumatic cylinder depends on the external loads. To overcome this problem, switching of control parameter using artificial neural network is newly proposed, which estimates external loads on rodless pneumatic cylinder using this training neural network. As an underlying controller, a state feedback controller using position, velocity and acceleration is applied in the switching control the system. The effectiveness of the proposed control algorithms are demonstrated through experiments nth various loads.

• Journal of Electrical Engineering and information Science
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• v.3 no.2
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• pp.211-221
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• 1998

It is becoming apparent that stereo matching algorithms need much information from high level cognitive processes. Otherwise, conventional algorithms based on bottom-up control alone are susceptible to local minima. We introduce a system that consists of two levels. A lower level, using a usual matching method, is based upon the local neighborhood and a second level, that can integrate the partial information, is aimed at contextual matching. Conceptually, the introduction of bottom-up and top-down feedback loop to the usual matching algorithm improves the overall performance. For this purpose, we model the image attributes using a Markov random field (MRF) and thereupon derive a maximum a posteriori (MAP) estimate. The energy equation, corresponding to the estimate, efficiently represents the natural constraints such as occlusion and the partial informations from the other levels. In addition to recognition, we derive a training method that can determine the system informations from the other levels. In addition to recognition, we derive a training method that can determine the system parameters automatically. As an experiment, we test the algorithms using random dot stereograms (RDS) as well as natural scenes. It is proven that the overall recognition error is drastically reduced by the introduction of contextual matching.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.439-443
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• 2007

Nowadays, activity recognition becomes a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from labeled activity samples. Most of the existing work uses only one learning method for activity learning and is focused on how to effectively utilize the labeled samples by refining the learning method. However, not much attention has been paid to the use of multiple classifiers for boosting the learning performance. In this paper, we use two methods to generate multiple classifiers. In the first method, the basic learning algorithms for each classifier are the same, while the training data is different (ASTD). In the second method, the basic learning algorithms for each classifier are different, while the training data is the same (ADTS). Experimental results indicate that ADTS can effectively improve activity recognition performance, while ASTD cannot achieve any improvement of the performance. We believe that the classifiers in ADTS are more diverse than those in ASTD.

• Journal of the Korean Institute of Educational Facilities
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• v.5 no.2
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• pp.16-29
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• 1998

Bell Laboratory introduced the sound and visual system for the first time in 1927. Since then, the development of telecommunication technology made it possible for people located far away to communicate each other watching through the TV screen. Over the period different types of telelecturing systems have prospered in line with the development of telecommunication technology. Therefore, it is quite natural that telelecturing/conferending system attracts the attention of many people as a new way of educating people located in a long distance. In the industrial sector, telelecturing systems already come into wide use to save time and training and travelling expense. In this study, I examine the concept and characteristics of telelecturing/conferencing system and introduce different types telelecturing system developed in parallel with the development of communication technology. Then, I analyze how those merits of the telelecturing system can be applied to educational purpose. Finally, I propose and design ideal telelectuirng/conference facilities consisting of telelecturing rooms, bilateral movie system, seats, ceilings, color, TV screen, lighting, acoustics, humidities and temperature control, security system, projection system to maximize the educational purpose and effectiveness.

• Journal of Engineering Education Research
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• v.1 no.1
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• pp.43-56
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• 1998

This thesis examined the main revolution trend of Chinese engineering education system which is closely related to the demand of the industrial world. The reasons for which China tried to revolutionize engineering education were as follows ; firstly, the lack of high-qualified and professionalized man power in the industrial world. Secondly, the rupture in the age structure and thirdly, graduate students' insufficient ability to adapt to the industrial companies. These situation had been influenced by professional education after the fashion of the Soviet Union and the Cultural Revolution. Thus, since 1980s, government have extended man power supply through various ways and maintained equilibrium between supply and demand within the industrial world. Also, government began to retrian the existing engineers, magnify the regular number in college students of science and engineering and treat an experienced man favorably in graduate schools. The State Education Commission leaded in searching for the ways to train engineers and testing the master of engineering training system. As an essay at reform, many attempts will be tried ; bringing-up excellent students, the system of multi-degrees, field work, bachelor-master integration management, the system of master and doctor by thesis, strengthening educational-industrial cooperation, experimental school, adult school, and local school. Until 21c to come, this trend will be accelerated on.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.40-48
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• 2016

The engineering knowledge and technology is core driving forces of continuous growth in knowledge based society. Companies, the government, and universities are the subjects of an innovation and the cooperation between them is very important. Nowadays, the main purpose of industry-university cooperation moves to train experts and develop a new product. A shift of the paradigm came from the change of recognition that the final consumers of the program are companies and the universities are supporters of the program. In this paper, we investigate the purpose, participation and satisfaction of companies to industry-academy technology cooperation through empirical studies. The need to expert training, product development and process development makes companies participate industry-academy technology cooperation and companies have different purpose of participation by the business type. Companies often feel that expert training, subsidiary purpose of industry-academy technology cooperation, is more important than product development or process development. This result is caused by the real world environment of small and mid-size companies, lacking of technology experts. The participation of companies to each technology cooperation program (technology transfer, joint technology development, consigned technology development, technology consulting, co-op. lab.) is also different by business type. The companies' satisfaction with the purpose of process development is relatively higher than that with the purpose of product development and companies show also different satisfaction value by business type and participating program. The results of this study can give a contribution to the design of demand oriented industry-academy technology cooperation model.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.881-893
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• 2012

This paper proposes to develop system trading strategy using rough set, decision tree in futures market. While there is a great deal of literature about the analysis of data mining, there is relatively little work on developing trading strategies in futures markets. There are three objectives in this paper. The first objective is to analysis performance of decision tree in rule-based system trading. The second objective is to find proper profitable trading interval. The last objective is to find optimized training period of trading rule training. The results of this study show that proposed model is useful trading strategy in foreign exchange market and can be desirable solution which gives lots of investors an important investment information.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.5
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• pp.235-246
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• 2010

Even after Hwang Woo Suk's research ethics scandal in Korean research fields, there are still research ethic problems that are present in the Korean society. In order to spread research ethics education around Korea, there needs to be sufficient amount of research ethics contents prepared, which then can be used to educate and put into action. Through the usages of the scope of research ethics, comparing and contrasting several examples from domestic illegal research acts and American research ethics education, and the Learning Activity Management Systems (LAMS), we would be able to develop a way to manage the research ethics education. Also, in order to fully use and apply the necessary contents and material for the research ethics education program in several universities, we would not only need to use the LAMS system to establish the training system, but also to spread the awareness of research ethics.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.61-80
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• 2019

The cooperation between universities and industries is already one of the most important factors driving the national economy in the knowledge-based society of the 21st century represented by the Fourth Industrial Revolution. The Korean government has also been carrying out legal and institutional re-adjustments to promote industrial-university cooperation in line with demands for such changes in the times. However, despite this industry-academic cooperation system, there is still a significant mismatch between industrial demand and the university's workforce development system. By the way, there is a Cooperative Education(CO-OP) in Canada and the United States. It's an innovative link between the university and the industry. The reason is that the CO-OP program not only allows students to gain experience with their majors in the industrial field, but also plays a positive role in improving their specialty expertise. In particular, field information, ideas, and job insights that students acquire through CO-OP also serve as motivation for starting a business beyond employment after graduation. Furthermore, CO-OP experience is an important opportunity for future researchers to come up with commercialized research results that are not separated from the field sites The purpose of this study is to overcome the gap between industrial demand and the college manpower training system, and develop a Korean-style coaching program model as a growth engine for creative talent-building policies, represented by 'creation of start-ups and new industry.' In addition, this study suggested measures that can be applied in real universities. In addition, the study also highlighted that the introduction of CO-OP programs with field practices in Korea could also boost start-ups. Based on the Korean CO-OP program model, the curricula applicable to domestic universities consisted of two types : general and research-oriented university types.