• Journal of Distribution Research
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• v.10 no.3
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• pp.1-14
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• 2005

It is important to control performance and a Sustainable Collaboration (SC) for the successful Supply Chain Management (SCM). This research developed a control model which analyzed SCM performances based on a Balanced Scorecard (ESC) and an SC using Support Vector Machine (SVM). 108 specialists of an SCM completed the questionnaires. We analyzed experimental data set using SVM. This research compared the forecasting accuracy of an SCMSC through four types of SVM kernels: (1) linear, (2) polynomial (3) Radial Basis Function (REF), and (4) sigmoid kernel (linear > RBF > Sigmoid > Polynomial). Then, this study compares the prediction performance of SVM linear kernel with Artificial Neural Network. (ANN). The research findings show that using SVM linear kernel to forecast an SCMSC is the most outstanding. Thus SVM linear kernel provides a promising alternative to an SC control level. A company which pursues an SCM can use the information of an SC in the SVM model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2290-2299
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• 2009

This study aims to analyze the importances of various SCM adoption factors suggested in precedent researches with AHP. SCM adoption factors were categorized by four types: organization factor, transaction factor, relation factor, and information factor. Each factor has sub-factors. Organization factor has five sub-factors: adoption strategy, support of CEO, maturity of information technology, development of assessment system, and innovation leadership. Transaction factor has three sub-factors: transaction period, delivery/quality, and shared goal. Relation factor has five sub-factors: trust, collaboration, inter-dependence, conflict, and immersion. Information factor has three sub-factors: information quality, information share, and information exchange. There are sixteen sub-factors altogether. Analyzing the importances of SCM adoption factors with AHP, the importance of organization factor(.387) ranked the highest. Relation factor(.291), information factor(.167), and transaction factor(.155) followed. Putting the analysis results of primary hierarchy factors and secondary hierarchy factors together, support of CEO(.169) ranked the highest and trust(.124), adoption strateg (.089), share goal(.081), information exchange(.069), collaboration(.064), and information share (.057) followed.

• Journal of Distribution Science
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• v.14 no.5
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• pp.71-80
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• 2016

Purpose - In case of automobile parts, there has been a lot of progress in the study on supplier development plans and SCM in industrial progress study as well as on the relationship between ERP and SCM. But supplier development program providers have researched on SCM performance in accordance with the interests of the supplier development program most, thus, buyers were knowledgeable about the earlier program performance. Therefore, the purpose of this study is to prove correlation factor, supplier factor, purchaser factor affecting SCM performance and ERP activating diffusion through the process of supplier development. Supplier development maturity formation model is considered important variables as mediators related to the procedure. Finally, the performance formation model of the supplier development maturity through supplier development factor would be presented as the outcome of this study. Research design, data, and methodology - Data gathering was as follows: questionnaires were delivered to 87 companies that have business connection with H Company. The empirical research to test our hypothesis was grounded on statistical analysis (adapting SPSS 19.0 & AMOS 19.0). The hypothesis is that the supplier development factor variables consist of correlation factor, supplier factor, purchaser factor, and have non-negative effects on the next variables: mediators such as supplier development maturity; and the supplier development maturity variables have a positive effect on the next variables: ERP activating diffusion, ERP activating diffusion has a non-negative effect on supply chain performance. We experimented the hypothesized model using path analysis with latent variables. Results - First, it was known that cooperation

, reliability

, comprehension on the purpose of SDP

, adaptation of change

, knowledge transfer program

, have significant positive effects on supplier development maturity. Second, supplier development maturity has positive effects significantly on ERP activating diffusion

. Finally, the causal relationships from ERP activating diffusion to SCM performance were significantly accepted. Its significance, as through the hypotheses, presented a structural model for the elaboration, suppliers develop maturity, and ultimately SCM performance that affect ERP leveraging spread beyond the concept of maturity of information system. Therefore, it was a mainstay of research on the existing ERP has they believed. Conclusion - First, with the fast changes in business circumstances, company should get the right information to implement SCM appropriately. For successful SCM, firms should understand the supplier development maturity formation and ERP activating diffusion. Second, supplier development factor has significant effects on supplier development maturity. Third, mediator such as supplier development maturity significantly affects ERP activating diffusion. Finally, ERP activating diffusion has significant impacts on SCM performance. This study makes a meaningful contribution to further appreciation on how supplier development maturity formation affects SCM performance. This study shows implications. First, there would not have been dealt with introducing the concept of supplier development maturity. Second, through empirical analysis and provider factors, the providers will develop the maturity that affect interactive factors between purchaser and supplier.

• Journal of the Korean Recycled Construction Resources Institute
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• v.4 no.2
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• pp.143-148
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• 2016

The aim of research is inducing the optimum proportion of fly ash(FA) and blast furnace slag(BS) for ternary cement. In this research, hence, the fundamental properties of mortar mixtures were evaluated depending on various proportion of FA and BS. The results of the experiment, within the scope of the study, obtained the following conclusions. Flow of the mixtures was increased with addition of binary supplementary cementitious material(SCM), and especially, portion of FA. The air content of the mixtures was increased with addition of binary SCMs, while it was decreased with increased FA content. In the case of unit mass, increased value was obtained due to the increased air content within 25 to 45% of binary SCM content, while it was increased within 65 to 100% of binary SCM up to only 20% of FA content and decreased more than 20% of FA because of the low density of FA. The setting time of the mixtures was delayed with addition of binary SCM and FA. In the case of compressive strength, at 91-day age, the highest value was obtained with 25 and 45% of binary SCM with the proportion of FA to BS of 40 to 60. Therefore, based on the compressive strength, it is considered that the binary SCM content of 25 and 45% with the proportion of FA to BS of 2 : 3 is the most favorable conditions in this research scope.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.6
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• pp.788-794
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• 2013

Mastitis set apart as clinical and sub clinical is a disease complex of dairy cattle, with sub clinical being the most important economically. Of late, laboratories showed interest in developing biochemical markers to diagnose sub clinical mastitis (SCM) in herds. Many workers reported noteworthy alternation of acute phase proteins (APPs) and nitric oxide, (measured as nitrate+nitrite = NOx) in milk due to intra-mammary inflammation. But, the literature on validation of these parameters as indicators of SCM, particularly in riverine milch buffalo (Bubalus bubalis) milk is inadequate. Hence, the present study focused on comparing several APPs viz. ${\alpha}_1$-anti trypsin, ${\alpha}_1$-acid glycoprotein, fibrinogen and NOx as indicators of SCM in buffalo milk. These components in milk were estimated using standardized analytical protocols. Somatic cell count (SCC) was done microscopically. Microbial culture was done on 5% ovine blood agar. Of the 776 buffaloes (3,096 quarters) sampled, only 347 buffaloes comprising 496 quarters were found positive for SCM i.e. milk culture showed growth in blood agar with $SCC{\geq}2{\times}10^5$ cells/ml of milk. The cultural examination revealed Gram positive bacteria as the most prevalent etiological agent. It was observed that ${\alpha}_1$-anti trypsin and NOx had a highly significant (p<0.01) increase in SCM milk, whereas, the increase of ${\alpha}_1$-acid glycoprotein in infected milk was significant (p<0.05). Fibrinogen was below detection level in both healthy and SCM milk. The percent sensitivity, specificity and accuracy, predictive values and likelihood ratios were calculated taking bacterial culture examination and $SCC{\geq}2{\times}10^5$ cells/ml of milk as the benchmark. Udder profile correlation coefficient was also used. Allowing for statistical and epidemiological analysis, it was concluded that ${\alpha}_1$-anti trypsin indicates SCM irrespective of etiology, whereas ${\alpha}_1$-acid glycoprotein better diagnosed SCM caused by gram positive bacteria. NOx did not prove to be a good indicator of SCM. It is recommended measuring both ${\alpha}_1$-anti trypsin and ${\alpha}_1$-acid glycoprotein in milk to diagnose SCM in buffalo irrespective of etiology.

• Clean Technology
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• v.19 no.3
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• pp.306-312
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• 2013

We investigated the effects of the concentration of carbon dioxide on the char-$CO_2$ gasification reaction under isothermal conditions of $850^{\circ}C$ using the Drayton coal. Potassium carbonate was used to improve the low-temperature gasification reactivity. The enhancement of carbon dioxide concentration increased the gasification rate of char, while gasification rate reached a saturated value at the concentration of 70%. The best $CO_2$ concentration for gasification is determined to be 70%. We compared the shrinking core model (SCM), volumetric reaction model (VRM) and modified volumetric reaction model (MVRM) of the gas-solid reaction models. The correlation coefficient values, by linear regression, of SCM are higher than that of VRM at low concentration. While the correlation coefficients values of VRM are higher than that of SCM at high concentration. The correlation coefficient values of MVRM are the highest than other models at all concentration.

• ETRI Journal
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• v.39 no.2
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• pp.234-244
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• 2017

Research interest in three-dimensional multiple-input multiple-output (3D-MIMO) beamforming has rapidly increased on account of its potential to support high data rates through an array of strategies, including sector or user-specific elevation beamforming and cell-splitting. To evaluate the full performance benefits of 3D and full-dimensional (FD) MIMO beamforming, the 3D character of the real MIMO channel must be modeled with consideration of both the azimuth and elevation domain. Most existing works on the 2D spatial channel model (2D-SCM) assume a wide range for the distribution of elevation angles of departure (eAoDs), which is not practical according to field measurements. In this paper, an optimal FD-MIMO planar array configuration is presented for different practical channel conditions by restricting the eAoDs to a finite range. Using a dynamic network level simulator that employs a complete 3D SCM, we analyze the relationship between the angular spread and sum throughput. In addition, we present an analysis on the optimal antenna configurations for the channels under consideration.

• Korean Journal of Materials Research
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• v.12 no.6
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• pp.427-430
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• 2002

Plasma nitrocarburizing treatment was performed for SCM 435 steel by using a plasma ion nitriding system. The effects of the variation of nitrogen and methan contents upon the hardened layer was investigated. Both the thickness of the compound layer and the amount of $\varepsilon$ phase in the compound layer increased with increasing nitrogen content. However, the thickness of the compound layer decreased due to unstable plasma for an atmosphere containing 90% $N_2$ gas content in the gas mixture. The amount of $\varepsilon$phase in the compound layer increased with increasing $CH_4$ gas content. For $CH_4$ gas content more than 2% in the gas mixture, the thickness of the compound layer decreased due to the formation of $\theta$ phase.

• Journal of Sasang Constitutional Medicine
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• v.27 no.1
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• pp.82-109
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• 2015

Objectives This research was proposed to present Clinical Practice Guideline (CPG) for Prevention of Sasangin disease pattern of Sasang Constitutional Medicine (SCM) and diseases closely related with Sasang constitution. Each CPG was developed by the national-wide experts committee consisting of SCM professors. Methods At first, we searched the literatures related to SCM such as "Dongeuisusebowon", Textbook of SCM and Clinical Guidebook of SCM. Also we searched the articles related to the studies about risk factors for Sasangin disease pattern of both at home and abroad. Finally, we selected leading risk factors of Sasangin disease pattern and developed CPG for prevention of Sasangin disease pattern of SCM. And then, we searched the literatures related SCM such as "Dongeuisusebowon" and the articles on the correlation between disease and Sasang constitution using case-control studies, observational studies or cross sectional studies of both at home and abroad. Next, we selected diseases closely related with Sasang constitution on the basis of articles including prevalence rate and odds ratio between disease and Sasang constitution and finally developed CPG for these diseases. Results and Conclusions We categorized risk factors of Sasang disease pattern into 2 types: non-modifiable and potentially modifiable. 3 items (age, sex and genetic factors) were classified as non-modifiable risk factors of Sasang disease pattern. 6 items (original symptom, stress, diet and nutrition, physical activity, alcohol and drug misuse) were classified as less well-documented or potentially modifiable risk factors of Sasangin disease pattern. We found out Sasang constitution is more likely to develop some diseases. It was proven that Sasang constitution increase the risk of hypertension, diabetes mellitus, metabolic syndrome, stroke, nonalcoholic fatty liver and obstructive sleep apnea. And there is high probability of Sasang constitution being potential risk factor for obesity, hyperlipidemia, allergy and cancer. Also, we found out Taeeumin is independent risk factor for hypertension, diabetes mellitus, metabolic syndrome, stroke, nonalcoholic fatty liver and obstructive sleep apnea. Therefore we recommend that Taeeumin need to prevent these disease by regular checkups and aggressive management.

• Journal of Sasang Constitutional Medicine
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• v.31 no.1
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• pp.79-93
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• 2019

Objective The purpose of this study was to show that the characteristics of the Sasang Constitutional Medical theory(SCM) are different from the traditional medical theory by comparing their theories of humans and pathophysiology. Methods The establishments and developments of the traditional medical theory were reviewed. Then the hypothesis that the theoretical foundation of SCM is different from that of the traditional medical theory was tested by comparing the traditional medical theory and SCM with respect to the theories of humans and the reconstructed theory of pathophysiology. Results The main findings of this study can be summarized as follows. 1. The theory of SCM reconstructed the traditional medical theory by shifting the paradigm concerning the structure of human existence. 2. The theory for SCM reconstructed the theory of pathophysiology by expanding Confucian moral theory from an experiential perspective. 3. The theory of SCM categorizes humans into four constitution groups according to congenital individuality in emotional expressions and pathophysiological functions. The categorization is based on medical treatment through which it was found that there are congenital individuality in the expression of his moral feelings. 4. The reconstructed pathophysiological theory of the SCM provides the foundation for establishing a verifiable medical theory. Discussion and conclusion The Sasang Constitutional Medical Theory is based on the idea that humans do not follow the changes of Nature but pursue morality and wealth in the Sasang system of the Heavenly qi and human affairs. Therefore, the theory is founded on Confucian moral theory but develops its own view of the theory of pathophysiology by way of experiential interpretation.