• Structural Engineering and Mechanics
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• 제84권5호
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• pp.605-618
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• 2022

Glass fiber reinforced polymer (GFRP) elastic gridshells consist of long continuous GFRP tubes that form elastic deformations. In this paper, a method for the form-finding of gridshell structures is presented based on the interpretable machine learning (ML) approaches. A comparative study is conducted on several ML algorithms, including support vector regression (SVR), K-nearest neighbors (KNN), decision tree (DT), random forest (RF), AdaBoost, XGBoost, category boosting (CatBoost), and light gradient boosting machine (LightGBM). A numerical example is presented using a standard double-hump gridshell considering two characteristics of deformation as objective functions. The combination of the grid search approach and k-fold cross-validation (CV) is implemented for fine-tuning the parameters of ML models. The results of the comparative study indicate that the LightGBM model presents the highest prediction accuracy. Finally, interpretable ML approaches, including Shapely additive explanations (SHAP), partial dependence plot (PDP), and accumulated local effects (ALE), are applied to explain the predictions of the ML model since it is essential to understand the effect of various values of input parameters on objective functions. As a result of interpretability approaches, an optimum gridshell structure is obtained and new opportunities are verified for form-finding investigation of GFRP elastic gridshells during lifting construction.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.690-716
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• 2019

Open innovation has attracted significant attention from both academics and practitioners. However, theoretical and empirical researchers disagree on how open innovation improves firm performance. The inconsistent results reported in the literature may be attributed to the fact that they failed to provide an integrative view of how to make use of internal and external knowledge to enhance innovation performance. Furthermore, although the adoption value of innovation approaches varies depending on firm size and IT capabilities, their impacts have not been adequately taken into consideration. Drawing on complementarity theory, this study revisits the research problem and develops eight hypotheses. Surveys collected from 339 Korean firms were analyzed to test the hypotheses using the supermodularity functions. The results indicated that an internal knowledge-oriented innovation approach has a positive impact on innovation performance regardless of firm size. However, an external knowledge-oriented innovation approach has a positive effect on innovation performance in large firms while having no significant effect on innovation performance of SMEs. Results also confirmed a complementary relationship between internal and external knowledge-oriented innovation approaches in large firms, whereas substitutable relationships were confirmed in SMEs. This study sheds new light on open innovation by identifying the role of different types of innovation approaches, firm size, and IT capabilities.

• 한국세라믹학회지
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• 제53권3호
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• pp.317-324
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• 2016

Continued miniaturization and increasingly exact requirements for thin film deposition in the semiconductor industry is driving the search for new effective, efficient, selective precursors and processes. The requirements of defect-free, conformal films, and precise thickness control have focused attention on atomic layer deposition (ALD). ALD precursors so far have been developed through a trial-and-error experimental approach, leveraging the expertise and tribal knowledge of individual research groups. Precursors can show significant variation in performance, depending on specific choice of co-reactant, deposition stage, and processing conditions. The chemical design space for reactive thin film precursors is enormous and there is urgent need for the development of computational approaches to help identify new ligand-metal architectures and functional co-reactants that deliver the required surface activity for next-generation thin-film deposition processes. In this paper we discuss quantum mechanical simulation (e.g. density functional theory, DFT) applied to ALD precursor reactivity and state-of-the-art automated screening approaches to assist experimental efforts leading toward optimized precursors for next-generation ALD processes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1315-1318
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• 2003

In this paper, a neural network based approach using a self-organizing feature map is proposed for the segmentation of X ray images. A number of algorithms based on such approaches as histogram analysis, region growing, edge detection and pixel classification have been proposed for segmentation of general images. However, few approaches have been applied to X ray image segmentation because of blur of the X ray image and vagueness of its edge, which are inherent properties of X ray images. To this end, we develop a new model based on the neural network to detect objects in a given X ray image. The new model utilizes Mumford-Shah functional incorporating with a modified adaptive SOFM. Although Mumford-Shah model is an active contour model not based on the gradient of the image for finding edges in image, it has some limitation to accurately represent object images. To avoid this criticism, we utilize an adaptive self organizing feature map developed earlier by the authors.[1] It's learning rule is derived from Mumford-Shah energy function and the boundary of blurred and vague X ray image. The evolution of the neural network is shown to well segment and represent. To demonstrate the performance of the proposed method, segmentation of an industrial part is solved and the experimental results are discussed in detail.

• International Journal of Costume and Fashion
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• 제12권1호
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• pp.83-95
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• 2012

This study aims to develop the 21st century eco design-based fashion products by examining Taller Flora products and presenting eco design approaches. Eco design terms were examined based on literature, and Taller Flora products were explored based on literature and websites. The following research issues were discussed. First, eco design terms are totally handled, thus defining the eco design. Second, eco design-oriented Taller Flora products are examined to explore design approaches. Eco design aims to conserve and heal the global environment with focus on a greater understanding of and interest in nature. As such, eco design is based on a new modern concept of aestheticism that seeks to minimize environmental damage caused by the three processes of production and distribution use and disposal, to take social and moral responsibilities for such activities, and to avoid hurting the environment. Taller Flora brands seek to produce products by keeping close ties with indigenous communities in various nations, and by emphasizing and embracing indigenous people's craftsmanship spirit and creativity Indigenous people use eco-friendly materials and produce products with craftsmanship spirit, and their cooperation by linking different cooperative networks is a good model for strengthening fair trade networks. These addresses the problem of expanding design work through traditional crafting. Therefore, the features of Taller Flora brands presented a new method to approach the eco fashion. The research findings are expected to help develop the eco design of fashion products.

• Industrial Engineering and Management Systems
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• 제16권1호
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• pp.64-79
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• 2017

Identifying disease genes from human genome is a critical task in biomedical research. Important biological features to distinguish the disease genes from the non-disease genes have been mainly selected based on traditional feature selection approaches. However, the traditional feature selection approaches unnecessarily consider many unimportant biological features. As a result, although some of the existing classification techniques have been applied to disease gene identification, the prediction performance was not satisfactory. A small set of the most important biological features can enhance the accuracy of disease gene identification, as well as provide potentially useful knowledge for biologists or clinicians, who can further investigate the selected biological features as well as the potential disease genes. In this paper, we propose a new stepwise random forests (SRF) approach for biological feature selection and disease gene identification. The SRF approach consists of two stages. In the first stage, only important biological features are iteratively selected in a forward selection manner based on one-dimensional random forest regression, where the updated residual vector is considered as the current response vector. We can then determine a small set of important biological features. In the second stage, random forests classification with regard to the selected biological features is applied to identify disease genes. Our extensive experiments show that the proposed SRF approach outperforms the existing feature selection and classification techniques in terms of biological feature selection and disease gene identification.

• International Journal of Industrial Entomology and Biomaterials
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• 제11권1호
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• pp.13-19
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• 2005

Biotechnological researches in Central Asian Research Institute of Sericulture were developed since 1981 when laboratory of artificial diets for mulberry silk­worm was created. The researches were directed not only to creation of accessible artificial diets (AD) for off-season mass rearing of economical beneficial insect and for industrialization of sericulture but also to obtaining of easy reproducible source of animal proteins, carbohydrates, lipids, enzymes, enzymes inhibitors and other metabolites - bioresource for manufacture of oriental medicine preparations. Space experiments with silkworms became possible with use of AD. These experiments used mulberry silkworm as high effective board test organism with outstanding developmental, reproductive and transgenic properties having impor­tant significance in future of cosmonautics. Introduction to practice of bioprotective and ecologically pure method of drying and sterilizing of green cocoons and by-products of silk manufacture allows to increase efficiency of cocoons reeling technology as well as to preserve nativity of biological active substances in mulberry silkworm pupae that is unachievable by traditional methods of raw material processing. New spheres of application of two important silk proteins - fibroin and sericin in medicine, cosmetics, for bio- and nanotechnology are opening with use of biotechnological approaches. At present the achievements and experience of R & D in these fields are used in creation of modern pests biocontrol agents. Schemes of efficient processing of cocoon raw material, by-products and wastes of sericulture and cocoon processing are devel- Institute of Physiology and Biophysics, Uzbek Academy of Sciences, I, Niyazov street, 700095, Tashkent, Uzbekistan. oped for obtaining of traditional and new consumer products.

• 유통과학연구
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• 제11권3호
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• pp.39-48
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• 2013

Purpose - This study aims to analyze the main problems of spatial modernization of the economy, and to develop new approaches to way out from crisis, to accelerate of innovations process from the cities-centers to the underdeveloped regions. Research design, data, methodology - The application of scientific methods in this research will allow to systematize the available data, from both a theoretical and empirical perspective. The study employs the method of ranking regions, the rate of innovation activity and comparative evaluation of R&D indicator. In addition, the authors proposed the method of modeling of innovation diffusion in the regions. Results - This study confirms that the need help for the underdeveloped regions, but we should clearly understand the limits of opportunities and to choose the right mechanisms. Further, this study shows it's important to maintain the regions with high innovation activity, as they are growth poles, which are play the role of translator's innovations to the periphery. Conclusions - According to the results of this theoretical and empirical study proved that modernization of the economy is realized faster in the regions with the best conditions for the diffusion of innovations, the higher the concentration of the population, a more developed infrastructure and reduced of administrative barriers.

• Asian Journal of Business Environment
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• 제9권3호
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• pp.11-20
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• 2019

Purpose - The study aims to substantiate the approaches and principles of forming a model of social and labor relations adequate to the modern conditions of economic development. Research design, data, and methodology - The article deals with the issues of legal regulation of social and labor relations in the labor market of Kazakhstan; describes the current model of labor relations and its basic parameters; determines the external and internal factors; specifically, the influence of the new labor law on its further development in the direction of democratization and the establishment of social partnership as a regulatory institution in the labor relations field. Result - Result is the model of the system of social and labor relations proposed by the author, which allows us to cover the multifaceted nature of this phenomenon, to unite the influence of the external environment and the internal complex of their mutual relations and interdependencies. Conclusion - The creation of an effective model of social and labor relations should proceed from the multifaceted nature of their manifestation. This means that the theoretical and methodological basis for their formation should be a comprehensive approach to solving the problems of transformation and interaction of social and economic components.

• 동의생리병리학회지
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• 제30권6호
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• pp.370-375
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• 2016

Recent advances in systems biology are shedding a new light on the traditional medicine research. The systems biology highlights the way each component interacts with each other within a system, and the network behavior that emerges from such interactions. This feature of systems biology can accent the systemic aspects of Korean medicine such as the mechanism of action of herbal formulae, pattern differentiation, and the meridian systems, as both the Korean medicine and the systems biology theorize the human physiological functions and phenomena from a holistic point of view. This paper outlines the meaning of the recent Korean medicine research using the systems biology methodology. We discuss the methodologies of the two fields in a comparative manner, and overview the advantages and limitations of the integrated approaches. Finally, we suggest the future prospects for the systems biology inspired approaches to the Korean medicine research. The systems biology may provide a new modernized research methodology for the Korean medicine that can highlight its unique features.