• Journal of Multimedia Information System
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• v.8 no.4
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• pp.267-276
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• 2021

This study discovered the effects of strategic learning and network building on a company's environmental management performance. According to the results, the environmental awareness of the company and competition threats within the industry did not significantly affect the establishment of environmental strategy, whereas the consumer's sensitivity to the environment and the environmental regulation of the government did. The environmental awareness of the company and the consumer's sensitivity to the environment were found to greatly impact a company's network building. which is closely related with the utilization of multimedia system and technology. In addition, it was found that the establishment of corporate environmental strategy had a significant effect on network building and strategic learning, but network building did not significantly affect strategic learning, indicating a difference. Finally, corporate strategic learning affected environmental management performance, suggesting an importance in accumulating strategic learning capabilities to increase environmental management performance.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1998.04a
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• pp.548-553
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• 1998

The specific noise level of 18 rotary compressor mufflers were measured and these data were analyzed by the Taguchi robust design method and the neural network. The optimal design value obtained by the neural network generally showed good agreement with that by the Taguchi method. The effects of eight important design variables on the specific noise level were discussed.

• Tribology and Lubricants
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• v.22 no.1
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• pp.47-52
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• 2006

It is very important to control pressure and flow rate distribution on each component of engine lubrication network. Sometimes many kinds of orifice are used to control flow rate in the hydraulic lubrication field. In this study orifices were adopted on the lubrication network to control oil flow rate distribution. And unsteady transient flow network analysis was carried out to find out the effects of orifices on the engine oil circuit system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.11
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• pp.1988-1991
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• 2007

This study investigates the performances of the signaling techniques including differential signals for the power-distribution network(PDN)s with and without the slit, using a rigorous evaluation method 'Modal Analysis', validated by being compared to the FDTD simulation up to 5 GHz.

• The Korean Journal of Health Service Management
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• v.9 no.1
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• pp.169-178
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• 2015

This study implemented a health support network project to improve the quality of life of women with musculoskeletal disorders. These activities were intended to analyze the effects of the impact on the quality of life of women with musculoskeletal diseases, continuing to base their future needs for materials and practice so as to provide a method for this purpose. On August 19, 2013 through December, a survey of 320 people living in Seoul included 31 women with symptoms of musculoskeletal disorders. Another, 16 weeks led to a total of 127 people with housewives screened as a subjects for social support networks projects. After the research, the health support network project was implemented, and most musculoskeletal pain was reduced, depression levels were reduced, and a quality improvement was noted in health-related life activities. In particular, mental- health-related quality of life was found to increased. As incidental factors that may cause musculoskeletal disorders, marital status, living with family, low income, and a high depression index were related to low health-related quality of life. Future studies can support continued health at the local business community level rather than with smaller samples. This work can also be supported by follow-up studies to evaluate the effectiveness of program.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.177-180
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• 1997

Outliers, unexpected extraordinary observations that look discordant from most observation in a data set are commonplace in various kinds of data analysis. Since the effect of outliers on model identification could be serious, the aim of this paper is to present some ways of handling outliers in given data set and to specify a model in the presence of outliers. A procedure based on neural network which identifies outliers, removes their effects, and specifies a model for the underlying process is proposed. In contrast with traditional parametric methods requiring to estimate the model's structure and parameters before detecting outliers, the proposed procedure is a nonparametric method without the estimation of model's structure and parameters before handling outliers and could be applied for real problems in the presence of outliers. The proposed methodology is performed as followings. Firstly, outliers are detected and the detected outliers replace the prediction values using outliers detection neural network. The data set removing the effect of outliers is retraining using neural network. Therefore the effects of outliers are removed and the modeling precision can be improved. Experimental results show that the proposed method is suitable for predicting data set in the presence of outliers.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.482-487
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• 2007

As the importance of logistics is increasing, Enterprises design the supply chain(SC) network to minimize the total costs considering inventory holding cost, transportation cost and apply the efficient strategies of supply chain based on SC network Calculating the logistics costs without reflecting the logistics components like the packaging cost, transportation related cost, storage cost, loading & unloading cost, and distribution costs, the companies should have many limitation to calculate the logistics cost of real enterprise and install the SC network reducing them. Therefore, this research is aimed at establishing SC strategies which can be an efficient alternative for a decision making on supply chain, based on existing reference and current logistics networks of 'L' company in Korea and analyzing interaction effects between strategies and influence on logistics cost by these strategies. As the method of analysis, we analyze the interaction effects between strategies as well as install the optimal SC network reflecting concrete logistics components from the viewpoint of total logistics costs. we expect that analysis method of this paper would be applied various industries and used the efficient tools for the decision mating by planing and execution of the logistics budget from enterprises.

• Smart Structures and Systems
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• v.1 no.1
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• pp.63-82
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• 2005

This paper introduces a technology for robust and low maintenance cost sensor network capable to detect accelerations below a micro-g in a wide frequency bandwidth (above 1,000 Hz). Sensor networks with such performance are critical for navigation, seismology, acoustic sensing, and for the health monitoring of civil structures. The approach is based on the fabrication of an array of high sensitivity accelerometers, each utilizing Fabry-Perot cavity with wavelength-dependent reflectivity to allow embedded optical detection and serialization. The unique feature of the approach is that no local power source is required for each individual sensor. Instead one global light source is used, providing an input optical signal which propagates through an optical fiber network from sensor-to-sensor. The information from each sensor is embedded onto the transmitted light as an intrinsic wavelength division multiplexed signal. This optical "rainbow" of data is then assessed providing real-time sensing information from each sensor node in the network. This paper introduces the Fabry-Perot based accelerometer and examines its critical features, including the effects of imperfections and resolution estimates. It then presents serialization techniques for the creation of systems of arrayed sensors and examines the effects of serialization on sensor response. Finally, a fabrication process is proposed to create test structures for the critical components of the device, which are dynamically characterized.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.299-321
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• 2016

Previous studies on strategic alliance formation have largely overlooked the effects that organizations' routine development can have on the relationship between organizations' network position and their alliance ambidexterity strategy. This study extends ambidexterity research by adding internal and network perspectives and examining their cumulative effects on alliance ambidexterity. We first acknowledge the interplay between organizations' internal knowledge exploration/exploitation strategies and organizations' alliance ambidexterity and determine that organizations with a high level of internal knowledge breadth are more likely to make focused alliance decisions. Second, our analysis of 145 US-based information technology organizations with an active alliance behavior reveals that having well-formed routines as a result of previous collaborations strengthens the tendency of brokerage organizations to follow alliances that focus on either exploration or exploitation. Although most alliance studies have commonly argued in favor of an ambidextrous approach, this study provides critical evidence that both internal knowledge exploration/exploitation strategies and development of routines constrain organizations' alliance formation decisions, guiding them towards a more focused approach.

• Human Ecology Research
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• v.56 no.2
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• pp.123-131
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• 2018

This study investigated associations between attachment and friendship. This study also examined the mediating effects of empathy on the association between two variables. Participants consisted of $4^{th}$ to $6^{th}$ grade elementary school children including 173 boys and 141 girls. Two elementary schools were located in Seoul and Bucheon. Children participated in a peer nomination interview. They nominated their three most liked peers. Children's responses to the best friend of the peer nomination identified the children's best friends. A Friendship Quality Scale measured children's positive friendship quality and friendship satisfaction. Children completed the Inventory of the Parent and Peer Attachment Scale that assessed maternal and paternal attachment. In addition, they completed a children's version of the Empathy Quotient that measured empathy. Pearson's correlation and Structural Equation Modeling were used to analyse the data. The results indicated that attachment had a direct influence on friendship network. Children who had the high levels of attachment security had large friendship network. However, attachment did not have a significant effect on friendship quality. Moreover, empathy had mediating effects on the association between attachment and friendship quality as well as the friendship network. The results of this research highlight the importance of attachment and empathy on children's friendship.