• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2000.04a
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• pp.40-43
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• 2000

A process optimal design methodology applicable to steady-state forming with a strain-hardening material is presented. in this approach the optimal design problem is formulated on the basis of a rigid-viscoplastic finite element process model and a derivative based approach is adopted as an optimization technique The process model the schemes for the evaluation of the design sensitivity considering the effect of strain-hardening and an iterative procedure for design optimization are described. the validity of the proposed approach is demonstrated through application to die shape optimal design in extrusion.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.81-88
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• 2007

This study deals with the overall meta-cognitive aspects of ATC-Pilot miscommunications pertinent to cognitive human errors based on the previous literature research which it has been focused on the issue of the global aviation English use in regard with aircraft accident and incident. Especially, it addresses the concern over the ICAO aviation English language proficiency evaluation program which will be implemented globally in March, 2008. In addition, It presents the analysis related to the on-going English language proficiency level four test conducted for Korean civil airlines pilots and air traffic controllers.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.3
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• pp.216-221
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• 2005

The rapid growth and spread of the World Wide Web has made it possible to easily access a variety of useful information. It is, however, very difficult to retrieve, manage, and use the desired information in web. Various kinds of systems such as Search engines, MetaSearch engines, Spiders, Softbots, Intelligent Agents or Web Agents have been developed by a large number of researchers and companies. Those systems as intelligent agent are employed to avoid the overload of information. To efficiently improve the Software Agents, it is necessary to represent and classify the retrieved data. And to improve performance of the Intelligent Agents to create the classification, it is offered how to evaluate the propriety with other information retrieved from the Web and to recommend to the user the most suitable information.

• Steel and Composite Structures
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• v.25 no.1
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• pp.45-55
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• 2017

Stainless steel exhibits high ductility and strain hardening capacity in comparison with carbon steel widely used in constructions. To analyze the particular behaviour of stainless steel cover-plate joints, an experimental study was conducted. It showed large ductility and complex failure modes of the joints. A non-linear finite element model was developed to predict the main parameters influencing the behaviour of these joints. The results of this deterministic model allow us to built a meta-model by using the quadratic response surface method, in order to allow for efficient reliability analysis. This analysis is then applied to the assessment of design formulae in the currently used codes of practice. The reliability analysis has shown that the stainless steel joint design according to Eurocodes leads to much lower failure probabilities than the Eurocodes target reliability for carbon steel, which incites revising the resisting model evaluation and consequently reducing stainless steel joint costs. This approach can be used as a basis to evaluate a wide range of steel joints involving complex failure modes, particularly bearing failure.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2728-2739
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• 1999

This paper proposes an effective fusion algorithm for retrieval results from heterogeneous information sources in federated digital libraries. The algorithm determines the population of documents retrieved from involved information sources for a given query and evaluates the degree of relevance between the query and the population. The evaluated results are used as relevance distribution information for collection fusion. The main informations used for the fusion are relevance distribution among collections, the population size N, and ranking information of relevant documents in their origin. We also present th performance evaluation of the algorithm by developing the prototype of a meta-searcher.

• Advances in Energy Research
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• v.8 no.3
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• pp.175-184
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• 2022

The dual-fuel technology, which uses gaseous fuel as the main fuel and liquid as the pilot fuel, is an appealing technology for reducing the exhaust emissions. The current study proposes emission models based on ANFIS for a dual-fuel using producer gas (PG)-diesel engine. Emissions measurements were taken at different engine load levels and fuel injection timings. The proposed model predictions were examined using statistical methods. With R2 values in the range of 0.9903 to 0.9951, the established ANFIS model was found to be consistently robust in predicting emission characteristics. The mean absolute percentage deviate in range 1.9 to 4.6%, and mean squared error varies in range 0.0018 to 13.9%. The evaluation of the ANFIS model developed shows a reliable claim of intrinsic sensitivity, strength, and outstanding generalization. The presented meta-model can be used to simulate the engine's operation in order to create an efficient control tool.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.17-18
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• 2021

The unit-water content of concrete is one of the important factors in determining the quality of concrete and is directly related to the durability of the construction structure, and the current method of measuring the unit-water content of concrete is applied by the Air Meta Act and the Electrostatic Capacity Act. However, there are complex and time-consuming problems with measurement methods. Therefore, high frequency moisture sensor was used for quick and high measurement, and unit-water content of mortar was evaluated through machine running and deep running based on measurement big data.

• Applied Chemistry for Engineering
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• v.32 no.3
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• pp.268-276
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• 2021

As wireless communication devices become more common, interests in how to control the electromagnetic waves generated from the devices are increasing. One of the most commonly used electromagnetic wave control materials is magnetic one, but due to the features that make the product heavy and thick when applied to the product, it is difficult to use them in curved electronic devices. Therefore, a polymer flexible meta electronic device has been presented to sort out the problem, which is thin and can have various curvatures. However, it requires an additional evaluation of curvature reliability. In this study, we developed a method to predict electromagnetic wave control characteristics through the resistance/length of the conductive ink line patterns of polymer flexible meta electronic devices, which is inversely proportional to the electromagnetic wave control characteristics. As the radius of curvature decreased, the resistance/length increased, and there was little variations with the duration times of curvature. We also found that both permanent and recoverable changes along with the removal of curvature were occurred when the curvature was applied, and that the cause of these changes was newly created vertical cracks in the conductive ink line pattern due to the tensile stress applied by applying curvature.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.582-593
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• 2016

The purpose of this study is to (evaluate) the effectiveness of neurofeedback training (NFT) and systematically search for the related factors by conducting a meta-analysis of theses and journal articles published in (the Korean language/Korea). This study analyzed 21 articles selected through a database search from 2001 to 2015. The quality evaluation result of the research, as research method characteristic, was low. It was found that, first, the effect size of the neurofeedback program training was .683 above the (median). Second, the effect size as the (moderator) variable played a statistically significant role in moderating the effect of the the subject characteristics, including the presence or not of disabilities and school level (elementary, junior high school, high school), on the effectiveness of the neurofeedback training program. Third, (the effect size) played a statistically significant role in mediating the effect of the research method (training method), number of sessions per week, total number of sessions and training time on the effectiveness of the neurofeedback training program. This study provides (comprehensive) data on the effect of the interventions and selection of the neuro-feedback training program subjects.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3067-3074
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• 2013

Background: Faced with highly prevalent and recalcitrant cancer-related fatigue (CRF), together with the absence of any official guidelines on management, numerous groups have been striving to seek and test alternative therapies including acupuncture and moxibustion. However, different patients have various feedbacks, and the many clinical trials have given rise to varied conclusions. In terms of the therapeutic effect of acupuncture and moxibustion, there exist vast inconsistencies. Objective: The aim of the study was to evaluate the auxiliary effectiveness of acupuncture and moxibustion in the treatment of CRF, and to provide more reliable evidence to guide clinical practice. Methods: Randomized controlled trials (RCTs) published before December 2012 were all aggregated, focusing on evaluation of acupuncture or moxibustion for CRF. The quality of the included studies was assessed basing on Cochrane handbook 5.1.0, and the available data were analyzed with RevMan software (version 5.2.0). Descriptive techniques were performed when no available data could be used. Results: A total of 7 studies involving 804 participants were eligible. With real acupuncture versus sham acupuncture, subjects receiving true acupuncture benefited more in the reduction of fatigue. With real acupuncture versus acupressure or sham acupressure, fatigue level appeared 36% improved in the acupuncture group, but 19% in the acupressure group and only 0.6% with sham acupressure. When real acupuncture plus enhanced routine care was compared with enhanced routine care, the combination group improved mean scores for general fatigue, together with physical and mental fatigue. With real acupuncture versus sham acupuncture or wait list controls, the real acupuncture group displayed significant advantages over the wait list controls at 2 weeks for fatigue improvement and better well-being effects at 6 weeks. When moxibustion plus routine care was compared with routine care alone, the meta-analyses demonstrated the combination had a relatively significant benefit in improving severe fatigue and QLQ-C30. Conclusion: Up to the search date, there exist few high quality RCTs to evaluate the effect of acupuncture and moxibustion, especially moxibustion in English. Yet acupuncture and moxibustion still appeared to be efficacious auxiliary therapeutic methods for CRF, in spite of several inherent defects of the included studies. Much more high-quality studies are urgently needed.