• 한국멀티미디어학회논문지
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• 제23권6호
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• pp.756-764
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• 2020

A typical algorithm used for image analysis is the Convolutional Neural Network(CNN). R-CNN, Fast R-CNN, Faster R-CNN, etc. have been studied to improve the performance of the CNN, but they essentially require large amounts of data and high algorithmic complexity., making them inappropriate for small and medium-sized services. Therefore, in this paper, the image label prediction algorithm based on CNN with collaborative layer with low complexity, high accuracy, and small amount of data was proposed. The proposed algorithm was designed to replace the part of the neural network that is performed to predict the final label in the existing deep learning algorithm by implementing collaborative filtering as a layer. It is expected that the proposed algorithm can contribute greatly to small and medium-sized content services that is unsuitable to apply the existing deep learning algorithm with high complexity and high server cost.

• 통상정보연구
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• 제12권3호
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• pp.311-332
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• 2010

This study investigate the effects of environmental and organizational characteristics on e-business competence and the influence of e-business competence on export performance in the small and medium sized firms. The development of the research model is based on the literature of e-business and the empirical studies of information technology competence. The data from the survey was analyzed using Partial Least Squares(PLS). The results from the empirical model suggest that e-business competence is affected by environmental uncertainty and market diversity as well as top management support and learning orientation. And, export performance is enhanced by e-business competence.

• 통상정보연구
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• 제11권1호
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• pp.239-264
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• 2009

As the competitive market environment and industry circumstances become more and more competitive on a daily basis, it is not easy to find an opportunity to initiate small business, or increase performances of Small and Medium Business. The research findings are as follows. First, entrepreneurship(innovation, progressive, social responsibility) has significant effects on the market orientation. Second, company competence(individual resource, technology resource) has significant effects on the market orientation. Third, market orientation has significant effects on the non-financial performance(Internal process performance, learning & growth performance, customer performance). Finally, non-financial performance(Internal process performance, learning & growth performance, customer performance) has significant effects on the financial performance.

• ETRI Journal
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• 제38권5호
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• pp.911-921
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• 2016

This paper presents the description, practical implementation, and stability analysis of a recently proposed, energy-efficient, medium access control protocol for wireless sensor networks, ALOHA-Q, which employs a reinforcement-learning framework as an intelligent transmission strategy. The channel performance is evaluated through a simulation and experiments conducted using a real-world test-bed. The stability of the system against possible changes in the environment and changing channel conditions is studied with a discussion on the resilience level of the system. A Markov model is derived to represent the system behavior and estimate the time in which the system loses its operation. A novel scheme is also proposed to protect the lifetime of the system when the environment and channel conditions do not sufficiently maintain the system operation.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.138-143
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• 2022

The employment prediction model proposed in this paper uses 16 independent variables, including self-introductions of M University students who applied for IPP and work-study internship, and 3 dependent variable data such as large companies, mid-sized companies, and unemployment. The employment prediction model for large companies was developed using Random Forest and Word2Vec with the result of F1_Weighted 82.4%. The employment prediction model for medium-sized companies and above was developed using Logistic Regression and Word2Vec with the result of F1_Weighted 73.24%. These two models can be actively used in predicting employment in large and medium-sized companies for M University students in the future.

• Educational Technology International
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• 제11권2호
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• pp.123-148
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• 2010

Relationships between students' perception of psychological distance with online professors and their academic learning achievement and their intention to continue online learning were examined. The courses selected for this study are two online courses: 1) 'English Grammar' and 2) 'TOEIC (Test of English for International Communication) Preparation' offered by a campus-based, medium-sized university. This study employed a mixed-methods approach by conducting a survey as well as one-on-one interviews with students. Students who feel psychologically distant with the online professors show significantly lower degree of perceived learning achievement, and higher tendency not to take online courses any more. All the three scales measuring the psychological distance -mutual awareness, connectedness, and availability- with professors turned out to be significantly related with students' perceived learning achievement. According to the result of the interview data analysis, the student interviewees unanimously said that the university should limit the number of online courses that students can register in a semester to one or two courses. Most students regard low interactivity of online learning as inevitable phenomenon. There is a statistically significant difference in perceived learning achievement between the online preferred group and the offline preferred group. Also, there is a significant difference in connectedness and availability and no significant difference in the degree of mutual awareness between the online and the offline preferred group.

• 통상정보연구
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• 제13권2호
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• pp.121-148
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• 2011

우리 중소기업의 사업규모는 지난 20년간 질적인 면과 양적인 변의 동반성장을 거듭하여 왔다. 최근에는 우리나라 전체 사업체수의 99.9%를 넘어서고 있으며 산업 부가가치총액 측면에서도 50% 수준에 이를 정도로 비약적으로 신장되었다. 중소기업이 국가경제에서 차지하는 비중이 높아짐에 비례하여 해외투자 규모도 역시 동반 성장하고 있다. 특히 세계경제가 개방화되고 블록경제가 심화되는 추세와 더불어 임금상승, 통상마찰 증대 등 대내외 환경변화 속도도 가속화되고 있어 이제 중소기업의 해외 진출은 생존 번영을 위한 핵심적 전략으로까지 부각되고 있다. 본 연구에서는 중소기업의 성공적인 해외진출을 위한 전략적 도구의 하나인 지식이전에 대하여 고찰하였다. 특히 해외 현지기업으로의 성공적인 지식이전에 영향을 미치는 요인을 파악함으로써 우리 중소기업 해외진출에 도움을 줄 수 있는 시사점을 도출하였다. 해외 진출 경험이 있는 표본 중소기업에 대한 실증분석 결과 국내기업과 해외 현지기업간의 커뮤니케이션 요인이 성공적인 지식이전에 유의한 영향을 미치는 것으로 확인되었다. 결론적으로 해외 진출을 계획하거나 추진 중인 중소기업은 성공적인 해외투자를 위해 경제적 수익성 모델 검토와 커뮤니케이션 모델 검토를 병행할 필요가 있다. 구체적으로는 본사의 조직 문화와 관련 업무 프로세스를 명문화하는 제도적 장치를 보완하고, 협력업체와의 원활한 커뮤니케이션 채널 구축이 필요하다.

• 융합경영연구
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• 제8권1호
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• pp.36-49
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• 2020

Purpose - This study investigates factors that affected the utilization of trade support policies and further analyzed how the utilization of trade support policies affected export performance. Research design, data, and methodology - With a sample of 223 small and medium-sized export firms from South Korea, this study examines the determinants of the utilization level of trade support system such as export market orientation, learning orientation, network capability and environmental uncertainty by regression analysis. Results - Export market orientation have a positive effect on the utilization of the trade support system and there is positive relationship between learning orientation and the utilization of trade support system. And network capabilities have had a positive impact on the utilization of the trade support system but there is no relationship between environmental uncertainty and the utilization of trade support system. The utilization of the trade support system had a positive effect on export performance. Conclusions - The internal and external factors of the organization have affected small and medium-sized export firms use of trade support systems. The utilization of trade support system can enhance positive export performance by providing valuable information and resource to external knowledge and also to complementary resources from the external partners.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.152-163
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• 2023

This research aimed at investigating Islamic Studies teachers' attitudes towards utilizing virtual learning environment in distance teaching among primary stage pupils. It also aimed at determining the statistical differences among variables due to sex, educational qualification, number of years of experience, and training sessions. This research adopted the descriptive approach. The sample consisted of male and female primary teachers of Islamic Studies (N=250) in governmental schools in Taif. The questionnaire was used as a main research tool. It included (20) items. Results showed that Islamic Studies teachers' attitudes towards utilizing virtual learning environment in distance teaching among primary stage pupils were ranked to a medium degree. There was a statistically significant difference among primary Islamic Studies teachers' attitudes due to sex variable. It was recommended to adopt more training sessions and seminars for adopting the idea of utilizing virtual learning environments among Islamic Studies teachers at boys' and girls' school in Mecca through emphasizing its significance and benefits in Teaching.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2014년도 춘계 종합학술대회 논문집
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• pp.101-102
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• 2014