• Journal of Korean Society for Quality Management
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• v.31 no.2
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• pp.98-116
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• 2003

The objective in this paper is to develope the e-Supply Chain Management System and applied for the Manufacturing. A Manufacturing that is consider to be world class recognize that its ability to complete in the marketplace depends on developing e-SCM System that is properly align with its mission of serving the customer. This paper investigated the relationship between e-SCM and performance in manufacturing. A stratified random sample was collected from the Federation of Korea Industries. Conclusively, e-SCM is important factor between source factors (environmental dynamic, Leadership) and manufacturing performance. e-SCM is significantly related to Quality, Flexibility, Delivery, and Cost.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.111-128
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• 2017

Existing studies for recommender have focused on recommending an appropriate item based on the customer preference. However, it has not yet been studied actively to recommend purchase timing for the repurchase product despite of its importance. This study aims to propose MLP and RNN models based on the only simple purchase history data to predict the timing of customer repurchase and compare performances in the perspective of prediction accuracy and quality. As an experiment result, RNN model showed outstanding performance compared to MLP model. The proposed model can be used to develop CRM system which can offer SMS or app based promotion to the customer at the right time. This model also can be used to increase sales for repurchase product business by balancing the level of order as well as inducing repurchase of customer.

• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.249-258
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• 2013

Recieved Mar. 06, 2013 Revised Mar. 29, 2013 Accepted Sep. 11, 2013In this study, we evaluated the method performance and the optimum sample injection method of the portable GC/MS(HAPSITE) which were designed to operate on scene of chemical accidents. Chemicals used for performance test were vinyl chloride(VC), methyl chloride(MC), benzene(Bz), toluene(Tol). CRM(Certified Reference Material) Manufactured by KRISS(Korea Research Institute of Standards and Science) was used as the standard gas. The results showed that 1) Among three sample injection methods(Cylinder, Silico canister, and Bag), bag was identified as the most appropriate sample injection method. Bag material and capacity did not significantly affect the results. The most ideal reproducibility occurred at the 2-minute point of the purge time in the loop and tenax methods. 2) Performance evaluation of HAPSITE was conducted. Evaluation items were reproducibility, linearity, method detection limit, etc. Tenax concentration method was appropriate for larger molecules and Carbopack concentration method was suitable for smaller molecules.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.923-930
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• 2021

The COVID-19 pandemic weakened the small- and medium-sized enterprise (SME) sector. The decline in turnover is one that is felt by the batik industry in East Java, and the decline in turnover in the batik industry is very drastic. This research was conducted to prove the influence of the COVID-19 pandemic on SMEs in the batik industry. One model is proposed to prove the existence of an increase in the performance of the batik industry's SMEs by implementing a customer relationship management strategy, business strategy, and market orientation. The study population was the batik industry entrepreneurs in East Java, Indonesia, using SEM analysis based on Amos, purposive sampling method, and a sample of 180 respondents. The results showed that the model was accepted. The results also show that customer relationship management and business strategy contributed to the performance of SMEs, while market orientation did not contribute to the performance of SMEs during the COVID-19 pandemic. To be able to maintain the sustainability of the company, the steps taken by the company are to lay off some of the employees, and during the production period the production stops, and focus on selling goods that have been previously produced.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.10B
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• pp.1675-1689
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• 2000

We present CReMeS a CORBA-compliant design and implementation of a new real-time communication service. It provides for efficient predictable and scalable communication between information producers and consumers. The CReMeS architecture is based on MidART's Real-Time Channel-based Reflective Memory (RT-CRM) abstraction. This architecture supports the separation of QoS specification between producer and consumer of data and employs a user-level scheduling scheme for communicating real-time tasks. These help us achieve end-to-end predictability and allows our service to scale. The CReMeS architecture provides a CORBA interface to applications and demands no changes to the ORB layer and the language mapping layer. Thus it can run on non real-time Off-The-Shelf ORBs enables applications on these ORBs to have scalable and end-to-end predictable asynchronous communication facility. In addition an application designer can select whether to use an out-of-band channel or the ORB GIOP/IIOP for data communication. This permits a trade-off between performance predictability and reliability. Experimental results demonstrate that our architecture can achieve better performance and predictability than a real-time implementation of the CORBA Even Service when the out-of-band channel is employed for data communication it delivers better predictability with comparable performance when the ORB GIOP/IIOP is used.

• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.17-31
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• 2022

Purpose: The purpose of this study is to analyze factors affected by the ICT utilization with perspectives of employees (Study 1) and customers (Study 2) that are rarely approached in previous studies. In particular, this study examined how proposed factors on ICT utilization affect employee satisfaction, organization performance, customer satisfaction, and purchasing decision making. Research design, data and methodology: This study conducted an online survey to measure the effects. Cronbach's alpha was applied to test reliability and factor analysis was applied to check validity. Multiple regression analysis and ANOVA were applied to test hypotheses. Results: The results of this study found that the effects of self-development and organizational innovation on employee satisfaction were significant for study 1, while the effects of product satisfaction, promotional offers, and customer communication on purchase decision making were significant for study 2. Conclusions:This study provides managerial and policy implications. At the management level, it is necessary to make specific strategies to improve employee and customer satisfaction and organization performance associated with the utilization of ICT. The results of this study suggest that better policy should be prepared by government to foster utilization of ICT infrastructure and to enhance better relationships with employees and customers.

• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.10-17
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• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.

• Korean Journal of Veterinary Research
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• v.52 no.2
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• pp.69-74
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• 2012

The analytical method of trace toxic metals in livestock products was confirmed and validated through certified reference material (CRM) and the international proficiency tests. There are some difficulties to determine low levels of toxic metals in livestock products because of interferences due to the matrix. The recoveries of CRM (NIST 1577c) ranged from 73.9 to 119% for lead and from 86.4 to 111% for cadmium in bovine liver. The international proficiency tests were carried out with the milk powder and cocoa powder samples including metals provided by Food Analysis Performance Assessment Scheme (FAPAS$^{(R)}$, UK). The test samples were prepared by microwave digestion using solution of $HNO_3:H_2O_2:H_2O$ (v/v/v = 5 : 2 : 4) and analyzed by ICP/MS. The analytical result of cadmium in milk powder was $121{\mu}g/kg$ with -0.3 of the z-score compared to the assigned value of $131{\mu}g/kg$ by FAPAS$^{(R)}$. The analytical results of lead and cadmium in cocoa powder were $29.2{\mu}g/kg$ and $97.6{\mu}g/kg$, respectively, which satisfied the assigned values of $34.2{\mu}g/kg$ for lead and $126{\mu}g/kg$ for cadmium by FAPAS$^{(R)}$. It is verified that the analytical method is accurate and reliable to determine trace lead and cadmium in livestock products by microwave digestion and ICP/MS.

• Journal of the Korean Solar Energy Society
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• v.33 no.5
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• pp.9-17
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• 2013

Hourly horizontal global solar radiation has been used as one of significant parameters in a weather file for building energy simulations, which determines the quality of building thermal performance. However, as about twenty two weather stations in Korea have actually measured the horizontal global sola radiation, the weather files collected in other stations requires solar data simulation from the other meteorological parameters. Thus, finding the reliable complicated method that can be used in various weather conditions in Korea is critically important. In this paper, three solar simulation models were selected and evaluated through the reliability test with the simulated hourly horizontal global solar radiation against the actually measured solar data to find the most suitable model for the south east area of Korea. Three selected simulation models were CRM, ZHM, and MRM. The first two models are regression type models using site-fitted coefficients which are derived from the correlation between measured solar data and local meteorological parameters from the previous years, and the last model is a mechanistic type model using the meteorological data to calculate conditions of atmospheric constituents that cause absorption and scattering of the extraterrestrial radiation on the way to the surface on the Earth. The evaluation results show that ZHM is the most reliable model in this area, yet a complicated hybrid simulation methods applying the advantages of each simulation method with the monthly-based weather data is needed.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.315-322
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• 2019

In this study, the contents of ${\beta}$-carotene and cholesterol were evaluated in various types of agricultural and processed foods (vegetables, legume products, dairy products, and eggs). Certified reference material (CRM) with an assigned value was used for the validation of the ${\beta}$-carotene and cholesterol analytical methods. High recoveries (accuracy) of ${\beta}$-carotene (96%) and cholesterol (97%) were obtained from the quantitative analysis of the CRM, with a relative standard deviation (%) of 1.86 and 3.35% for the ${\beta}$-carotene and cholesterol, respectively. Vegetables contained relatively high concentrations of ${\beta}$-carotene (raw Toona sinensis, $1650.97{\mu}g/100g$, a raw small onion, $879.09{\mu}g/100g$, and a raw lettuce stem, $591.89{\mu}g/100g$). The ${\beta}$-carotene values in dried chickpeas ($22.94{\mu}g/100g$) and dried brown lentils ($21.98{\mu}g/100g$) were similar. The highest ${\beta}$-carotene value among the analyzed dairy products was found in banana milk ($234.21{\mu}g/100g$) while other flavored products (strawberry milk and chocolate milk) did not contain any ${\beta}$-carotene. Furthermore, ${\beta}$-carotene was not detected in goat milk and high calcium milk in this study. With regard to cholesterol among the analyzed samples, the highest cholesterol value was found in egg yolk (629.30 mg/100 g), and cooking methods (boiling and frying) had little effect on the cholesterol levels of eggs. In addition, the cholesterol content in vanilla ice cream was 28.77 mg/100 g which was the highest value among the analyzed dairy products.