• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.763-764
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• 2006

In this paper, optimized model was designed for the starting characteristic of the Single-Phase Line-Start Permanent Magnet Synchronous Motor by using the Design of Experiment. A field pole angle, thickness and distance from center axis of permanent magnet were selected as design factor. We executed the transient state characteristic analysis of 8 test models. The transient state characteristic analysis was executed by using the 2 dimensional Finite Element Method and the Time Difference Method. We checked the fact that the selected design factor affected starting characteristic of the Line-Start Permanent Magnet Synchronous Motor. Depend on this result we found the optimized design point by using the response optimization.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.616-631
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• 2019

With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.1-7
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• 2020

In this study, we hypothesized that the needs for start-up support services may vary depending on the founder's psychological characteristics, such as self-efficacy or his attitude toward uncertainty. To verify this, a survey was conducted on the founders of 86 companies located in Business Incubators at Seoul and Daejeon and an empirical analysis was conducted based on the data. According to the analysis, the higher the self-efficacy of the founder, the more active he expressed his willingness to accept the start-up support service, which aims to provide start-up zones to busy areas outside the university. While the founder, who has experienced failure in the past, responded positively to attracting customers located outside the university. The results of this study supported the hypothesis and suggest that differentiated start-up support services should be designed by including not only characteristics at the level of start-up companies, such as industries and growth stages, but also the psychological characteristics of start-ups in important consideration.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.1063-1067
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• 1991

In this paper, we present a supervision and coordination level monitoring the adaptive controller and taking appropriate ,actions if malfunctions are detected. Supervision and coordination level are consist of start-up part and run-time part. The start-up part involves tasks for the configuration and the implementation of controllers, and the run-time part involves tasks for the supervision and coordination of the controllers in closed-loop operation. Also, we show how a supervision level and a coordination level can be designed and what basic elements should be included. Finally, we show the robustness of this scheme by experimental results for task model.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.1007-1012
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• 2016

Induction motors are used widely in driving load of a fluid, such as a pump or a fan in the industry. Induction motor has been generated the voltage drop by the occurrence of a high current during startup. In addition, high start-up current can act as a mechanical stress on the shaft of the motor. So there is need a way to reduce the starting current. Soft start method is one of the many ways to reduce the starting current. This method uses silicon-controlled rectifiers(SCRs) for varying value of the voltage applied to the motor. There is a case for fixing or changing the thyristor firing angle to adjust the magnitude of the voltage. Starting power factor of induction motor is very low compared to the normal operation. Soft starting with the firing angle fixed needs to be considered a low power factor at startup. In this study, we compared the direct start characteristics and soft start characteristics considering the low power factor at the time of start-up. It was possible to confirm that the starting current and the voltage drop is present differently according to the firing angle.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.12
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• pp.85-91
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• 2021

In our daily life, artificial intelligence performs simple and complicated tasks like us, including operating mobile phones and working at homes and workplaces. Artificial intelligence is used in industrial technology for diagnosing various types of equipment using the machine learning technology. This study presents a fault mode effect analysis (FMEA) of start motors using machine learning and big data. Through multiple data collection, we observed that the primary failure of the start motor was caused by the melting of the magnetic switch inside the start motor causing it to fail. Long-short-term memory (LSTM) was used to diagnose the condition of the magnetic locations, and synthetic data were generated using the synthetic minority oversampling technique (SMOTE). This technique has the advantage of increasing the data accuracy. LSTM can also predict a start motor failure.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2677-2687
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• 2013

Entrepreneurship of a founder and psychological characteristics are very important factors for the start-up success. To understand the importance like this, this study investigated effect relationships of the entrepreneurship and psychological characteristics on the start-up success. For this, 122 copies of the questionnaire were empirically analyzed for the youth entrepreneurs who entered the youth founder academy which is founded and managed by the Small and Medium Business Corporation. According to results of analysis, both the entrepreneurship consisting of proactivenss, risk taking and autonomy, and the internal locus of control, the psychological characteristics were found to have positive effects on the start-up success. Therefore, this study suggested theoretical and practical implications, as below, according to the results. Firstly, we must be aware of the importance of the entrepreneurship from the perspective of a successful establishment, and, prospective entrepreneurs, who are planning to the start-up, have to judge their entrepreneurship and, only then, make a decision. Secondly, we have to put our best efforts into developing more effective education on start-up, which deals with improving youth founder's entrepreneurship. Therefore, education institutions for start-up are needed in order to develop educational programs such as "Entrepreneurship Training Programs". Thirdly, we must recognize that the role of family is important because most entrepreneurship and psychological characteristics are formed in a person's childhood. Forth, the entrepreneur, themselves, must realize that they has to make an effort to improve their entrepreneurship. Lastly, youth founder's internal locus of control has to be enhanced. Thus, greater attention is required from both the entrepreneur themselves, and educational institutions for start-up.

• Journal of Venture Innovation
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• v.5 no.4
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• pp.1-21
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• 2022

Entrepreneurship has been emphasized in social and national importance. However, survival rate of domestic startups is relatively low. Therefore, it is urgent to come up with a plan to increase the survival rate by improving the satisfaction level of early start-ups. In this study, we investigated the effect of start-up motivation, start-up competence, and start-up support policies of early start-up companies on start-up satisfaction and the moderating effect of social support. Startup motivation were divided into economic motivation and self-actualization motivation in detail. Start-up competence was divided into experience competency and marketing competency in detail. The start-up support policy was divided into start-up fund support and start-up consulting support. An empirical analysis was conducted by receiving online and offline questionnaires from 250 managers of early start-up companies within 7 years of founding. As a result, economic motivation, self-actualization motivation, experience competency, marketing competency, and start-up fund support had a significant positive (+) effect on start-up satisfaction. However, start-up consulting support did not have a significant effect. In addition, the size of the influence on startup Satisfaction was in the order of self-actualization motivation, experience competency, marketing competency, startup fund support, and economic motivation. The moderating effect of social support was found in economic motivation, self-actualization motivation, and experience competency. However, the moderating effect of marketing competency, start-up fund support, and start-up consulting support was not tested. Through the research results, the academic implications that self-actualization motivation and experience competency are key factors in enhancing start-up satisfaction were suggested. In addition, practical implications were suggested that it is necessary to improve the effectiveness of entrepreneurship education programs and entrepreneurship consulting support systems that can maximize the self-realization and experience capabilities of early entrepreneurs.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.245-254
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• 2015

The purpose of this research is to study the cyclic structure of startup ecosystem and draw the necessary conditions for maintaining it to successfully induce the activation entrepreneurship. Therefore, we design start-up cycle structure based on the enterprise ecosystem to verify this, we discussed the Tech City in the United Kingdom and Silicon Valley in USA. Required factors for running the start-up cycle structure is summarized as follows. First, the shared platform is provided to form between components in accordance with the object, second, this can be made based on the excellent human resources, third, a number of consumer groups such as venture capitals and angels that revenue from the virtuous circle should be formed, fourth, get the other regional networks and associated, fifth to make it easy to start-ups through government and institutional support and finally, a stand-alone producers(startups) should be fostering entrepreneurship.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.19-27
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• 2007

We have implemented a WWW homepage which finds an optimal route for users. There already exist many web sites which provide the optimal route when a start and a destination cities are given. However, none of them can find the optimal route when a number of cities to be visited. The problem of finding the optimal route starting at a given start city and visiting through all the given intermediate cities and finally returning to the start city is called Travelling Sales Person(TSP) problem. TSP is a well known exponential time complexity problem. We have implemented an artificial intelligent search algorithm for TSP on our homepage. The main feature of our algorithm is that the destination may not be the same as the start city whereas all of the existing heuristic algorithms for TSP assume that the start and the destination cities are the same. The web page asks a user to select all the cities he or she wants to visit(including start and destination city), then it finds a sequence of the cities such that the user would travel minimum distance if he or she visits the cities in the order of the sequence. This paper presents algorithms used in the homepage.