• Proceedings of the KIPE Conference
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• 2012.07a
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• pp.172-173
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• 2012

포항가속기 연구소에서는 4세대 가속기의 전자를 가속시키기 위해서 100ppm(0.01%) 이하의 고전압 안정도를 가진 200MW 펄스 모듈레이터가 요구된다. 그러므로 본 연구소에서는 고전압 안정도를 가진 고정밀 고전압 CCPS를 일반 CCPS와 병행하여 산업체와 함께 공동 개발을 진행하였다. 개발된 일반 CCPS의 사양은 50 kV, 30 kJ/sec, 600mA, 1000ppm이하이고, 고정밀 CCPS의 사양은 50 kV, 5 kJ/sec, 100mA, 100ppm이하이다. 본 논문에서는 CCPS의 개발 및 실제 모듈레이터에 설치하여 시험한 결과를 발표하고자 한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.31-46
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• 2023

This study classified and confirmed the learning modes about start-ups that are based on the accelerator's program which was focusing on the Korean accelerators in the ICT field targeting global market. Eight accelerator practitioners were interviewed who were in charge of operating programs for accelerators, qualitatively analyzing method of the interview was conducted. The interview results to identify various learning modes that accelerators provide to startups through programs. In order to identify and classify learning modes, the researcher reviewed various prior documents and using categories of experience accumulation, observation, experimentation, trial and error, and improvisation as a priori code for the qualitative analysis. The interview results were analyzed through a subject analysis. As the result of the study, the learning modes offered by the accelerator's programs to startups were confirmed, with two subcategories identified for each of the five categories: experiential, learning from others, experimental, trial and error, and improvisation. Given the limited research on accelerator programs and their main function, the main function of accelerators, this study identified the types of learning modes that offered by the accelerator's programs to startups from the perspective of learning. This study provides important insights into the types of learning modes that offered by the accelerator programs, which can help to improve our understanding of how accelerators support organizational learning for startups. Additionally, this information can be useful for startups considering in participating in the accelerator programs, as it can help them making informed decisions about their involvement.

• Proceedings of the KIPE Conference
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• 2013.07a
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• pp.132-134
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• 2013

포항가속기 연구소에서 4세대 전자를 가속시키기 위하여 RF 공급원으로 사용하는 펄스 모듈레이터의 고전압 안정도는 100ppm 이하의 고전압이 요구된다. 따라서 본 연구소에서 산업체와 연계하여 인버터를 적용한 고정밀 고전압 CCPS를 개발하였다. 개발된 고정밀 고전압 CCPS의 사양은 50 kV, 5 kJ/sec, 100 ppm 이하 1set와 50 kV, 30 kJ/sec, 1000 ppm 4set이다. 고정밀 고전압 CCPS를 시험하기 위하여 4세대용 200 MW 모듈레이터를 설치하여 시험하였다. 본 논문에서는 고정밀 고전압 CCPS의 개발하고 제작하여 모듈레이터에 적용하여 시험한 내용을 보이고자 한다.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.97-99
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• 2014

포항가속기 연구소에서 4세대 전자를 가속시키기 위하여 RF 공급원으로 사용하는 펄스 모듈레이터의 고전압 안정도는 50ppm 이하의 고전압이 요구된다. 200 MW 모듈레이터에 공급하기 위하여 개발된 고전압 CCPS사양은 50 kV, 120 kJ/sec, 2400mA, 20ppm이하이다. XFEL용 모듈레이터는 고정밀 고전압 CCPS를 적용하여 운전하였으며 모듈레이터 사양은 400kV, 500A, 8us, 60Hz, beam voltage stability 0.005(%)이다. 본 논문에서는 개발한 고정밀 고전압 CCPS를 사용하여 시험한 모듈레이터의 시험 결과에 대하여 발표하고자 한다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1208-1209
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• 2015

포항가속기 연구소에서 4세대 10 GeV 전자를 가속시키기 위하여 대전력 펄스 RF 51sets가 요구된다. 대전력 RF 펄스 공급원으로 200MW 펄스 모듈레이터를 사용하고 있으며 모듈레이터에 공급하는 고전압 전원을 인버터 전원공급장치를 사용한다. 인버터 전원공급장치의 입력 전원은 3상 480 Vac을 사용하고 있으며 운전시 고전압 전원공급장치에서 많은 고조파가 발생한다. 따라서 본 논문에서는 고조파 성분을 측정 분석하고 고조파 성분을 저감하기 위한 대책 방안을 강구하고자 한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.141-156
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• 2023

The advancement of Information and Communication Technology (ICT), along with the expansion of government and private investment in startup discovery and funding, has led to the emergence of startups seeking to generate outstanding results based on innovative ideas. As successful startups serve as role models, the number of aspiring entrepreneurs preparing to launch their own startups continues to increase. However, unlike entrepreneurs who challenge themselves with serial entrepreneurship after experiencing success, early-stage startups face various challenges such as team building, technology development, and fundraising. Accelerators play a dual role of mentor and investor by providing education, mentoring, consulting, network connection, and initial investment activities to help startups overcome various challenges they face and facilitate their growth. This study investigated whether there is a correlation between the characteristics of startups and their entrepreneurial performance, and analyzed whether accelerators mediate the relationship between startup characteristics and entrepreneurial performance. A total of 11 hypotheses were proposed, and a survey was conducted on 302 startup founders and employees located across the country, including the metropolitan area, for empirical research. SPSS 23.0 and Amos 23.0 were used for statistical analysis. Through this study, it was found that factors such as innovation, organizational culture, financial characteristics, and learning orientation among the characteristics of startups, rather than having a direct impact on entrepreneurial performance, are linked to entrepreneurial performance through the role of accelerators. By analyzing the impact factors of startup characteristics on entrepreneurial performance, this study presents research on the role of accelerators and provides institutional improvements. It is expected to contribute to the expansion of investment and differentiated acceleration programs, enabling startups to seize the market and grow stably in the market.

• Journal of Platform Technology
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• v.6 no.2
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• pp.3-9
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• 2018

Recently VR environment is used in many areas including mobile learning, smart factory. However HMD(head-mounted display) is required to a dedicated and expensive system with high-end specification. When designing a VR system, it is needed to handle performance, mobility and usability. Many VR applications need to handle diverse sensors and user inputs continuously in a streaming manner. In this paper we design a VR mobile platform and implement a low-cost mobile VR HMD running on the platform. The VR HMD supports 3D contents delivery in a mobile manner. It is used to detect the motion detection based on angle value of a VR player from accelerator and gyro sensor. The MPU-6050, 6-axis sensor, is used to get a sensory value and the sensory value is taken as an input to a VR rendering server on a Unity game engine that is generated 3D images.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.85-92
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• 2014

In recent years, the government has pushed ahead with the convergence and innovation of science technology and information technology in order to realize the creative economy. So, a creative economy ecosystem has been set up to realize the creative economy for small businesses growth and small business happiness. According to proliferation of mobile area taking the lead in the recent IT transition, development of various convergence technologies related to mobile such as mobile Apps, SNS, and big data have been promoted. For realizing government's creative economy, systematic raising plan to create newly value-added market and occupation being considered with developing technology for mobile convergence based on imagination and creativity of small businesses is proposed in this paper.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.8-11
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• 2020

4 차 산업혁명 시대의 도래와 함께 AI, ICT 기술의 융합이 진행됨에 따라, 유저 레벨의 디바이스에서도 AI 서비스의 요청이 실현되었다. 이미지 처리와 관련된 AI 서비스는 피사체 판별, 불량품 검사, 자율주행 등에 이용되고 있으며, 특히 Deep Convolutional Neural Network (DCNN)은 이미지의 특색을 파악하는 데 뛰어난 성능을 보여준다. 하지만, 이미지의 크기가 커지고, 신경망이 깊어짐에 따라 연산 처리에 있어 낮은 데이터 지역성과 빈번한 메모리 참조를 야기했다. 이에 따라, 기존의 계층적 시스템 구조는 DCNN 을 scalable 하고 빠르게 처리하는 데 한계를 보인다. 본 연구에서는 DCNN 의 scalable 하고 빠른 처리를 위해 3 차원 메모리 구조의 Processing-In-Memory (PIM) 가속기를 제안한다. 이를 위해 기존 3 차원 메모리인 Hybrid Memory Cube (HMC)에 하드웨어 및 소프트웨어 모듈을 추가로 구성하였다. 구체적으로, Processing Element (PE)간 데이터를 공유할 수 있는 공유 캐시 및 소프트웨어 스택, 파이프라인화된 곱셈기 및 듀얼 프리페치 버퍼를 구성하였다. 이를 유명 DCNN 알고리즘 LeNet, AlexNet, ZFNet, VGGNet, GoogleNet, RestNet 에 대해 성능 평가를 진행한 결과 기존 HMC 대비 40.3%의 속도 향상을 29.4%의 대역폭 향상을 보였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.1-20
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• 2023

This study attempted to identify the relationship between the investment determinants of accelerators and investment performance through empirical analysis. Through literature review, four dimensions and 12 measurement items were extracted for investment determinants, which are independent variables, and investment performance was adjusted to the cumulative amount of subsequent investment based on previous studies. Performance data from 594 companies selected by TIPS from 2017 to 2019, which are relatively reliable and easy to secure data, were collected, and the subsequent investment cumulative attraction amount, which is a dependent variable, was hypothesized through multiple regression analysis three years after the investment. As a result of the study, 'industrial experience years' in the characteristics of founders, 'market size', 'market growth', 'competitive strength', and 'number of patents' in the characteristics of products and services had a significant positive (+) effect. The impact of independent variables on dependent variables was most influenced by the competitive strength of market characteristics, followed by the number of years of industrial experience, the number of patents, the size of the market, and market growth. This was different from the results of previous studies conducted mainly on qualitative research methods, and in most previous studies, the characteristics of founders were the most important, but the empirical analysis results were market characteristics. As a sub-factor, the intensity of competition, which was the subordinate to the importance of previous studies, had the greatest influence in empirical analysis. The academic significance of this study is that it presented a specific methodology to collect and build 594 empirical samples in the absence of empirical research on accelerator investment determinants, and created an opportunity to expand the theoretical discussion of investment determinants through causal research. In practice, the information asymmetry and uncertainty of startups that accelerators have can help them make effective investment decisions by establishing a systematic model of experience-dependent investment determinants.