• Genomics & Informatics
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• 제15권4호
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• pp.162-169
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• 2017

Metal binding proteins or metallo-proteins are important for the stability of the protein and also serve as co-factors in various functions like controlling metabolism, regulating signal transport, and metal homeostasis. In structural genomics, prediction of metal binding proteins help in the selection of suitable growth medium for overexpression's studies and also help in obtaining the functional protein. Computational prediction using machine learning approach has been widely used in various fields of bioinformatics based on the fact all the information contains in amino acid sequence. In this study, random forest machine learning prediction systems were deployed with simplified amino acid for prediction of individual major metal ion binding sites like copper, calcium, cobalt, iron, magnesium, manganese, nickel, and zinc.

• 디지털산업정보학회논문지
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• 제5권1호
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• pp.127-139
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• 2009

Recently a rapid development of Information Technology including Internet have brought new way of education such as Distance education, Cyber University, Home Schooling and so on. This change of education have also brought about the change of a tool and medium for education. It is a using multimedia contents in education. Using the multimedia learning contents on line education is considered as one of new way of education and expected to bring learner's better performance. Therefore, it's necessary to research online education contents and its design. In this paper, we discussed how the multimedia contents should be designed to help to reinforce what the learner have learned and researched a critical factor of online contents to effect on learner's better performance.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.31-36
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• 2021

This study aims to provide basic data on establishing online learning by identifying the effects of self-efficacy as a medium on factors affecting self-control according to self-determination motivation through contactless online learning due to Covid-19. The research method used SPSS 25 and Sobel test to examine the causal relationship between the spokesmen and 196 middle and high school students in W-city, Gangwon-do. Self-determination motivation has had a significant effect on self-efficacy and self-control, and self-efficacy has been shown to have a significant effect on self-control. Also, Self-efficacy had a partial mediating effect on self-determination motivation affecting self-control. Based on this, fundamental and continuous development of online education programs to promote self-control of online learners is required, and efforts should be made to support learners' capabilities through psychological counseling.

• 한국멀티미디어학회논문지
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• 제25권10호
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• pp.1433-1447
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• 2022

Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technology. X-ray security checkpoints are operated to detect cameras and storage media that may store or leak important technologies in the bags of people entering and leaving the building. In this study, we propose an X-ray security checkpoint system that automatically detects a storage medium in an X-ray image using a deep learning based object detection method. The proposed system consists of an edge computing unit and a cloud-computing unit. We employ the RetinaNet for automatic storage media detection in the X-ray security checkpoint images. The proposed approach achieved mAP of 95.92% on private dataset.

• Current Optics and Photonics
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• 제7권6호
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• pp.655-664
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• 2023

Ghost imaging (GI) technology is developing rapidly, but there are inevitably some limitations such as the influence of atmospheric turbulence. In this paper, we study a ghost imaging system in atmospheric turbulence and use a gamma-gamma (GG) model to simulate the medium to strong range of turbulence distribution. With a compressed sensing (CS) algorithm and generative adversarial network (GAN), the image can be restored well. We analyze the performance of correlation imaging, the influence of atmospheric turbulence and the restoration algorithm's effects. The restored image's peak signal-to-noise ratio (PSNR) and structural similarity index map (SSIM) increased to 21.9 dB and 0.67 dB, respectively. This proves that deep learning (DL) methods can restore a distorted image well, and it has specific significance for computational imaging in noisy and fuzzy environments.

• 품질경영학회지
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• 제42권3호
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• pp.407-424
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• 2014

Purpose: The purpose of this study was to propose supply chain management efficiency by analyzing moderating effect on the training support project in small and midium-sized enterprise. Methods: The collected data through the survey were analyzed using multi?regression analysis. The measurement tools used for this study were divided into three dimensions such as personal characteristics, supportive environment and training effect. Results: The results of this study are as follows; first, it was found that the effects of personal characteristics and supportive environment were significant on training effect. Second, significant differences were found between supply chain management active group and inactive group. Third, moderating effect of supply chain manage efficiency was found between variables. Conclusion: SME supporting project in training program needs supply chain management efficiency for training effect. Supply chain management needs to be promoted in SMEs not only for performance but also for their workplace learning and learning culture.

• 한국응급구조학회지
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• 제18권2호
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• pp.7-20
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• 2014

Purpose: This study aims to assess the reliability and validity of a Korean version of the satisfaction with simulation experience (SSE) scale for low-, medium-, and high-fidelity simulations among paramedic students. Methods: Exploratory factor analysis with varimax rotation was used to determine construct validity. Cronbach's alpha was calculated to assess internal consistency reliability. Results: Cronbach's alpha for the overall scale was .841. Exploratory factor analysis yielded a three-factor structure composed of clinical learning, clinical reasoning and debriefing and reflection. Each of the subscales had high internal consistency, with Cronbach's alphas of .852, .790 and .913, respectively. With respect to year, freshmen scored the highest on the SSE scale. With respect to type of simulation, the medium-fidelity group reported the highest satisfaction. Generally, the students were satisfied with debriefing and reflection. Conclusion: The Korean version of the SSE scale was shown to be a reliable and valid instrument for assessing satisfaction with simulation learning in paramedic students.

• Journal of Communications and Networks
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• 제18권3호
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• pp.411-419
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• 2016

This article investigates the problem of distributed channel selection in opportunistic spectrum access networks from a perspective of interference minimization. The traditional physical (PHY)-layer interference model is for information theoretic analysis. When practical multiple access mechanisms are considered, the recently developed binary medium access control (MAC)-layer interference model in the previous work is more useful, in which the experienced interference of a user is defined as the number of competing users. However, the binary model is not accurate in mathematics analysis with poor achievable performance. Therefore, we propose a real-valued one called stochastic MAC-layer interference model, where the utility of a player is defined as a function of the aggregate weight of the stochastic interference of competing neighbors. Then, the distributed channel selection problem in the stochastic MAC-layer interference model is formulated as a weighted stochastic MAC-layer interference minimization game and we proved that the game is an exact potential game which exists one pure strategy Nash equilibrium point at least. By using the proposed stochastic learning-automata based uncoupled algorithm with heterogeneous learning parameter (SLA-H), we can achieve suboptimal convergence averagely and this result can be verified in the simulation. Moreover, the simulated results also prove that the proposed stochastic model can achieve higher throughput performance and faster convergence behavior than the binary one.

• 수산해양교육연구
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• 제23권4호
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• pp.549-567
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• 2011

The purpose of this study was to analyze and to compare the use of illustrations of the elementary practical arts textbooks and to make suggestions for an improvement of the use of illustrations in elementary practical arts textbooks. It is expected that the results of this study can be used by textbook developers, publishers, and teachers in their efforts to improve the quality of elementary practical arts textbooks. For the study, 'Units of Raising Animals' in the sixth grade practical arts textbooks in Korea was selected and analyzed according to the three criteria: kinds of illustrations, sizes of illustrations and purposes of illustrations. In this study, the following facts were found. First, 2007 revised practical arts textbooks have about 5.2 illustrations per page whereas 7th practical arts ones have 4.2. Second, even though 2007 revised practical arts textbooks are highly dependent on photographs, kinds of illustrations of 2007 revised practical arts textbooks have more ratio of pictures, cartoons and diagrams than the ones in the 7th practical arts textbooks. Third, sizes of illustrations of the 2007 revised practical arts textbooks are ordered in small, medium, large size illustrations and there was an increase in medium sized illustrations. Lastly, the purpose of the illustrations from the 2007 revised practical arts textbooks are on the decrease the supply of learning materials but there was an increase in the learning motive induction and guidance for experiment.

• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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• pp.153-158
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• 2020

The study aims to identify the factors affecting employee loyalty in the case of small and medium enterprises (SMEs) in Tra Vinh province, Viet Nam and to find out critical factors affecting the loyalty of employees in SMEs. This is implemented with the method of collecting primary data of 320 employees working at SMEs in 5 districts including: Cau Ngang, Tra Cu, Chau Thanh, Cang Long, Tieu Can) and Tra Vinh City, Viet Nam. Using the multivariate regression method, the researchers have found 6 factors affecting employee loyalty: colleagues, leaders, job characteristics, remuneration policies, organizational culture, and working environment. Particularly, learning opportunities may not be not statistically significant for employees' loyalty towards small and medium-sized enterprises in Tra Vinh province. From the above research results, the authors have proposed implicational piolicies such as: focusing on colleague relationships, improving leadership of business owners, attaching importance to appropriate work arrangement, having appropriate remuneration policies for laborers, building effective organizational culture and working environment to improve employee loyalty at SMEs. From the above policy implications, helping business owners realize the aspirations of workers in small and medium-sized enterprises more closely in the future, in order to sustainably develop the business system in Vietnam.