• Journal of Information Technology Applications and Management
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• v.13 no.2
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• pp.99-113
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• 2006

It is hardly achieved Electronic Commerce (EC) activation if there isn't any performance in spite of the estimation that EC would improve whole economic efficiency. Therefore, there should be a need for the research whether implementation and utilization of EC really improve companies' business performance. The primary purpose of this study is to investigate the level of EC utilization in Small and medium sized enterprises (SMEs) and analyze its effect on business performance in terms of BSC. The results indicate that EC utilization in various fields of business and the use of information created through EC are significantly related to higher business performance, but EC volume is not. This study examines facing problems of SMEs in utilizing EC as well.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.195-201
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• 2018

This study is attempted to demonstrate the structure of the influencing factors on the performance of services of knowledge based service firms. In the model presented, the structure is that service performance in knowledge-based services are affected by the strategic utilization of knowledge resources and service orientation factors of the service organization. And the service performance are also affected in which the systemization of service processes and customer satisfaction play a mediating role. As an analysis result of examining 148 practitioners engaged in the knowledge service industry, it is necessary to increase the satisfaction of external customers in order to improve service performance in a knowledge-based service organizations. This can be achieved by increasing the satisfaction of internal customers. In addition, for this structure to be successful, the service production process to be provided to the customer must be enhanced. The service production process has been found to be an important factor influencing the internal customer satisfaction and service delivery process, especially in the use of knowledge resource, and customer oriented service among service orientation factors.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.77-80
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• 2020

In this paper, we analyze and compare the performance of different publish and subscribe protocols in the real application environment. This paper provides a horizontal comparison of current publish/subscribe protocols in terms of security, throughput, and delay performance. Thanks to the use of lightweight frameworks, the MQTT protocol has demonstrated excellent performance in terms of delay performance. However, the AMQP protocol has more advantages in security and throughput. Although the REST/HTTP protocol has the worst delay performance, it is excellent in terms of compatibility because it is based on the HTTP protocol.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.194-197
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• 2000

Wavelet transform used for content-based image retrieval has good performance in texture image. Image features for content-based image retrieval are color, texture, and shape. In this paper, we use color feature extracted from HSI color space known as most similar vision system to human vision system and texture feature extracted from wavelet histogram which has multiresolution property. Proposed method is compared with HSI color histogram method and wavelet histogram method. It is shown better performance.

• Proceedings of the KIEE Conference
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• 2003.04a
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• pp.258-261
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• 2003

This paper is a studying of the vector control of AC servo motor using a high performance DSP(TMX320F2812). This DSP has many special peripheral circuits to drive a AC Servo motor as AD converter, QEP and so on. It makes us reduce the time of developing a control system and also can be simple size controller. We use vector control algorithm for instantaneous torque control and SVPWM algorithm by offset voltage methods.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2004-2007
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• 2003

This paper describes a method of performance enhancement using Flatness Mesure(FM) for the Gaussian Mixture Model(GMM) face recognition systems. Using this measure we discard the frames having low information before training and test. As the result, the performance increases about 9％ in the lower mixtures and calculation burden is decreased. As well, the recognition error rate is decreased under the illumination change surroundings. We use the 2D DCT coefficients lot face feature vectors and experiments are carried out on the Olivetti Research Laboratory (ORL) face database.

• Proceedings of the IEEK Conference
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• 2002.06a
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• pp.187-190
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• 2002

In this paper, we deal with performance improvement of OBE for automatic gate clearance system by using DSRC network of 5.8GHz ISM band. A data format is improved to represent Rx and Tx information which is need to perform clearance at the gate of container terminal. An error message caused by data discordance is added to Previous data format. A graphic LCD monitor is used to control a character font and use Korean.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.905-912
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• 2006

Support vector classification(SVC) provides more complete description of the linear and nonlinear relationships between input vectors and classifiers. In this paper we propose to solve the optimization problem of SVC with a modified hinge loss function, which enables to use an iterative reweighted least squares(IRWLS) procedure. We also introduce the approximate cross validation function to select the hyperparameters which affect the performance of SVC. Experimental results are then presented which illustrate the performance of the proposed procedure for classification.

• Information Systems Review
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• v.25 no.3
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• pp.199-220
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• 2023

Projects to deploy and diffuse smart factories in South Korea are aimed at enhancing national manufacturing competitiveness. However, a significant portion of deployed companies remain at the basic stage and struggle to utilize smart factories regularly. Existing studies have primarily focused on the technical aspects of smart factories, using data analytics and case studies, leading to a gap in empirical research on continuous use and upgrade intentions. This study identifies key factors influencing smart factory usage and user satisfaction, drawing on the Information Systems Success Model (ISSM) and previous research. It empirically examines the impact of these factors on continuous use intention, management performance, and advancement acceptance intention through smart factory usage and user satisfaction. A structural equation model is employed to validate the research hypotheses, using survey data from 287 small and medium-sized manufacturing enterprises (SMEs) that have adopted smart factories. Results demonstrate that system quality, information quality, service quality, and government support significantly affect smart factory usage, while service quality and government support influence user satisfaction. Furthermore, smart factory usage and user satisfaction have positive effects on management performance, continuous use intention, and subsequently advancement acceptance intention. This study provides novel insights by demonstrating the specific impact mechanisms of smart factory user satisfaction on the business and the intentions of manufacturing SMEs regarding continuous use and advancement acceptance, leveraging the ISSM.

• Quality Improvement in Health Care
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• v.25 no.1
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• pp.11-28
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• 2019

Purpose: The purpose of this paper is to derive implication on the adoption of PROMs (Patient-Reported Outcome Measures) to improve quality of care in South Korea. With this purpose, the paper examines the status of PROMs in South Korea and other countries including OECD's PaRIS (Patient Reported Indicators Survey) initiative, and reviews policy cases that have adopted PROMs to improve performance of healthcare system. Methods: We conducted literature review on OECD reports on PaRIS, peer-reviewed journals, and information from the websites of relevant institutions such as ICHOM, NQF and OECD. Results: To identify healthcare services of best values and support patient-centered health system, OECD has initiated PaRIS which develops, collects and analyzes patient-reported indicators for cross-countries comparison. PaRIS is implemented on two work streams: 1) collect, validate and standardize PROMs in the areas where patient-reported indicators already exist such as breast cancers, hip and knee replacement, and mental conditions, 2) develop a new international survey on multiple chronic conditions. Countries like England, U.S., Sweden and Netherlands use PROMs for measuring performance of hospitals and performance evaluation at the national level, and provide the financial incentives for reporting PROMs. Conclusions: The use of PROMs can support the current policy agenda that is the patient-centered healthcare system which has been emphasized to reinforce the primary and the community-based care. For the use of PROMs, it is recommended to actively participate in PaRIS initiative by OECD, select appropriate instruments for PROMs, and continue on standardization of them. This will assure patients' involvement in improving health system performance, systemize information generated in the process of adopting PROMs, and develop a system to evaluate performance.