• The Journal of Korean Association of Computer Education
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• v.10 no.2
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• pp.77-87
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• 2007

The purpose of the study was to investigate the effects of social network centrality variables on students' performance in blended learning environment in a higher educational institution. Using data from 36-student course on Learning Theories and Their Implications on Instructional Design Practices, the researcher empirically tested how social network centrality variables - such as friendship network centrality, advice network centrality, and adversary network centrality - are correlated with academic achievement measures. Results indicate, as hypothesized, the friendship and advice centrality positively correlate with, whereas the adversary centrality being negatively correlate with application performance measures and test scores. The size and quality of posted online discussions are positively and strongly correlated with the advice network centrality.

• Journal of Power Electronics
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• v.11 no.3
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• pp.279-284
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• 2011

Network-based controls for ac motor drive systems are becoming increasingly important. In this paper, an ac motor control system is implemented by a motor control module and three sensor modules such as a voltage sensor module, a current sensor module, and an encoder module. There will inevitably be network time delays from the sensor modules to the motor control system, which often degrades and even destabilizes the motor drive system. As a result, it becomes very difficult to estimate the network delayed ac sensor data. An algorithm to reduce the effects of network time delays on sensor data is proposed, using both a synchronization signal and a simple method for estimating the sensor data. The algorithm is applied to a vector controlled induction motor drive system, and the performance of the proposed algorithm is verified with experiments.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.50-64
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• 2019

The success of Wikipedia is due to the large number of volunteers collaborating to provide content to Wikipedia articles. In this paper, we study the effect of network position on the promotion of an article to a featured article. We focus on the edits of featured Wikipedia articles to study the effects of the centrality of editors and centrality of articles on the promotion of featured articles. Considering the editing precedence among editors within an article, editor collaboration networks for a single article are generated using the total English-written featured articles on Wikipedia. In addition, based on the affiliation network of editors and articles, an article-to-article network and an editor-to-editor collaboration network are constructed. Based on the investigation of the networks, we find that article centrality in an article-to-article network has a negative effect on the promotion of an article, and editor centrality in an article-to-article networks has a positive effect on promotion. In addition, editor centrality in an editor-to-editor network has a negative effect on promotion. Some theoretical and managerial implications are provided in view of these results.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.6
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• pp.524-529
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• 2005

In this paper, a novel neural network compensation technique for PD like fuzzy controlled robot manipulators is presented. A standard PD-like fuzzy controller is designed and used as a main controller for controlling robot manipulators. A neural network controller is added to the reference trajectories to modify input error space so that the system is robust to any change in system parameter variations. It forms a neural-fuzzy control structure and used to compensate for nonlinear effects. The ultimate goal is same as that of the neuro-fuzzy control structure, but this proposed technique modifies the input error not the fuzzy rules. The proposed scheme is tested to control the position of the 3 degrees-of-freedom rotary robot manipulator. Performances are compared with that of other neural network control structure known as the feedback error learning structure that compensates at the control input level.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.3
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• pp.185-192
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• 2016

Today, the Internet has penetrated almost all the ins and outs of social life, has changed work, communications, social influence and the lifestyle of humankind. However, it is still short of flexibility, transparency etc., due to network address translator overuse, masschanges, uncomfortable protocols, and so on. Hence, more research is necessary into future telecommunications networks based on contemporary networks accompanied by new requisitions and new designs that are compatible with today's and tomorrow's demands. This paper researches a new vision of the telecommunication network of the future, its effects on human life and society, and the targets to achieve a new generation network (NwGN). In the paper, we also propose orientation towards an NwGN from the current networks, especially with Vietnam's telecommunications networks.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.674-678
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• 2008

Our research is for development of smart object in WBAN environment. Too many smart object in various computing device were developed, but users always attention to their lot of smart objects and any personal things now. So we need smart object that classification and management all of user's personal devices and any effects in invisible and seamless system. We discussed how develop do that object in WBAN(Wireless Body Area Network) system and how make components in this system to wireless network in this paper.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.122-129
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• 2010

High-performance concrete (HPC) is a new terminology used in concrete construction industry. Several studies have shown that concrete strength development is determined not only by the water-to-cement ratio but also influenced by the content of other concrete ingredients. HPC is a highly complex material, which makes modeling its behavior a very difficult task. This paper aimed at demonstrating the possibilities of adapting artificial neural network (ANN) to predict the comprresive strength of HPC. Mahalanobis Distance (MD) outlier detection method used for the purpose increase prediction ability of ANN. The detailed procedure of calculating Mahalanobis Distance (MD) is described. The effects of outlier compared with before and after artificial neural network training. MD outlier detection method successfully removed existence of outlier and improved the neural network training and prediction performance.

• Knowledge Management Research
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• v.17 no.3
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• pp.23-44
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• 2016

This study examined the cause-and-effect relationships among developmental network characteristics, developmental functions, and career identity. The study analyzed the data of employees with more than two years of experience and a college degree or over qualifications, from domestic companies. For analysis, the structural equation model was applied. Most of all, it was substantiated that the structural relationships among the developmental network characteristics, developmental functions, and career identity. The specific results were as follows. First, tie strength had a positive effect on all of developmental functions but psychosocial support mediated the relationship between the tie strength and career identity. Second, an indirect relationship between indicators of network diversity and identity was not found or the indirect relationship was very weak.

• Journal of the Korea Construction Safety Engineering Association
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• s.52
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• pp.48-57
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• 2011

A major purpose of management or occupational safety is a significant decrease in safety accidents. With this view, the establishment of occupational safety culture and the building of occupational communication network stand out as being more important than the past. This study has analysed the positive effects of occupational safety communication on safety consciousness and action of the employees in workplace. And it is confirmed that the occupational safety communication in workplace is the essential mechanism, through which the workers internalize safety consciousness and act safely. The safety consciousness and action of the employees are formed in safety culture, which is not only legal regulations, but a daily communication network in workplace. In these sense, the building of the occupational safety communication network is decisive for the establishment of safety culture. For these reasons, this study makes the proposition that a firm promotion of occupational communication network is necessary, which connects the safety culture and a effective safety management in workplace.

• Journal of Mechanical Science and Technology
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• v.19 no.spc1
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• pp.255-264
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• 2005

In this paper, a practical bushing model is proposed to improve the accuracy of the vehicle dynamic analysis. The results of the rubber bushing are used to develop an empirical bushing model with an artificial neural network. A back propagation algorithm is used to obtain the weighting factor of the neural network. Since the output for a dynamic system depends on the histories of inputs and outputs, Narendra algorithm of 'NARMAX' form is employed to consider these effects. A numerical example is carried out to verify the developed bushing model. Then, a full car dynamic model with artificial neural network bushings is simulated to show the feasibility of the proposed bushing model.