• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.223-232
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• 2023

The Work-Study parallel program has been promoted as a key policy to resolve the mismatch between industrial sites and school education and realize a competency-centered society, and as of December 2022, 16,664 companies participated in the training. Learning companies play a very important role as education and training supply organizations that conduct field training. In this study, for the evaluation of learning companies participating in work-study program, the authors derive important factors that determine the quality of on-site education and training by analyzing the cognitive structure of experts in charge of the company and present evaluation indicators for learning enterprises. Therefore, it is intended to lay the foundation for promoting the quality of work-study parallel program.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.271-277
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• 2020

Machine translation refers to software that translates a source language into a target language, and has been actively researching Neural Machine Translation through rule-based and statistical-based machine translation. One of the important factors in the Neural Machine Translation is to extract high quality parallel corpus, which has not been easy to find high quality parallel corpus of Korean language pairs. Recently, the AI HUB of the National Information Society Agency(NIA) unveiled a high-quality 1.6 million sentences Korean-English parallel corpus. This paper attempts to verify the quality of each data through performance comparison with the data published by AI Hub and OpenSubtitles, the most popular Korean-English parallel corpus. As test data, objectivity was secured by using test set published by IWSLT, official test set for Korean-English machine translation. Experimental results show better performance than the existing papers tested with the same test set, and this shows the importance of high quality data.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.197-205
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• 2017

To achieve web application security goals effectively by providing web security features such as information leakage prevention, web application firewall system must be able to achieve the goal of enhancing web site security and providing secure services. Therefore, it is necessary to study the security evaluation of web application firewall system based on related standards. In this paper, we analyze the requirements of the base technology and security quality of web application firewall, and established the security evaluation criteria based on the international standards for software product evaluation. Through this study, it can be expected that the security quality level of the web application firewall system can be confirmed and the standard for enhancing the quality improvement can be secured. As a future research project, it is necessary to continuously upgrade evaluation standards according to international standards that are continuously changing.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.191-199
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• 2023

The purpose of this study is to examine the impact of ChatGpt's quality on users' satisfaction and intention to continuous use it. For this purpose, a survey was conducted targeting college students in the Busan and Gyeongnam regions, and responses from a total of 155 people were verified using the SPSS 28.0 program. As a result of the study, reliability and stability among ChatGPT quality factors were found to have a positive effect on satisfaction with use and intention to continuous use. Satisfaction with the use of ChatGPT was found to have a positive effect on intention to continuous use.. Satisfaction with use was found to have a positive mediating effect between the reliability and stability of ChatGPT quality and intention to continous use it. As a result of this study, we aim to contribute to suggesting educational and policy directions necessary to promote the use of ChatGPT by presenting factors that affect users' intention to continuous use ChatGPT among the qualities of ChatGPT.

• Health Policy and Management
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• v.34 no.2
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• pp.178-184
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• 2024

Background: This study aimed to determine the effectiveness of drug utilization review (DUR) evaluation indicators on safe drug use by comparing the changes in DUR inspection rates and drug duplication prescription prevention rates between the pre- and post-implementation of the DUR evaluation indicators of the Healthcare Quality Evaluation Grant Initiative. Methods: This study used DUR data from the Health Insurance Review and Assessment Service in 2018 (pre-implementation) and the evaluation results of the Healthcare Quality Evaluation Grant Initiative in 2023 (post-implementation). The dependent variables were the DUR evaluation indicators, including DUR inspection rate and drug duplicate prescription prevention rate. The independent variable was the implementation of the DUR evaluation indicators, and the control variables included medical institution characteristics such as type, establishment classification, location, DUR billing software company, and number of beds. Results: The results of the analysis of the difference in the prevention rate of drug duplicate prescriptions between the pre- and post-implementation of the DUR evaluation indicators of the Healthcare Quality Evaluation Grant Initiative showed that the prevention rate of drug duplicate prescriptions increased statistically significantly after the implementation of the DUR evaluation indicators. Conclusion: The policy implications of this study are as follows: First, ongoing evaluation of DUR systems is needed. Second, it is necessary to establish a collaborative partnership between healthcare organizations that utilize DUR system information and the organizations that manage it.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.341-348
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• 2016

Because VPN(Virtual Private Network) uses internet network, the security technique should support it and evaluation technique based on standard should support it. Therefore the method should be organized that can evaluate the security of VPN based on the related standard. In this study, we intended to construct the security evaluation model through combining CC(Common Criteria) which is a evaluation standard and a part of security(Confidentiality, Integrity, Non-repudiation, Accountability, Authenticity) evaluation of ISO which is the standard of software quality evaluation. For this, we analyzed the quality requirements about intra-technology and security of VPN and constructed the evaluation model related to the quality characteristics of two international standard. Through this, we are able to construct a convergence model for security evaluation of VPN. Through accumulating the evaluation practices for VPN in the future, the suitability and validity of the evaluation model must be improved.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.199-206
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• 2017

Embedded control system is widely spreaded and used in various fields including military defence, aviation, medical, etc. due to extended use of smart phones, connected car, IoT. Increasing examples are introduced where embedded control system that perform their unique role such as smart phone and network system organically configure to create new system. According to this trend, organic interface and reliability of each embedded control system are becoming important evaluation factors. The purpose of this paper is to develop quality evaluation criteria method for automobile embedded system, among the fields that use embedded control systems. In order to satisfy high quality level requirements of automobile embedded control system, we surveyed latest trend of automobile embedded control system, analyzed structure and application technology of embedded control system, to establish quality evaluation criteria and method for automobile embedded control system by referring international standard for software (ISO/IEC 9126), and international standard for electric & electronic products (ISO 26262).

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.672-680
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• 2003

A shopbot is a software agent whose goal is to maximize buyer´s satisfaction through automatically gathering the price and quality information of goods as well as the services from on-line sellers. In the response to shopbots´ activities, sellers on the Internet need the agents called pricebots that can help them maximize their own profits. In this paper we adopts Q-learning, one of the model-free reinforcement learning methods as a price-setting algorithm of pricebots. A Q-learned agent increases profitability and eliminates the cyclic price wars when compared with the agents using the myoptimal (myopically optimal) pricing strategy Q-teaming needs to select a sequence of state-action fairs for the convergence of Q-teaming. When the uniform random method in selecting state-action pairs is used, the number of accesses to the Q-tables to obtain the optimal Q-values is quite large. Therefore, it is not appropriate for universal on-line learning in a real world environment. This phenomenon occurs because the uniform random selection reflects the uncertainty of exploitation for the optimal policy. In this paper, we propose a Mixed Nonstationary Policy (MNP), which consists of both the auxiliary Markov process and the original Markov process. MNP tries to keep balance of exploration and exploitation in reinforcement learning. Our experiment results show that the Q-learning agent using MNP converges to the optimal Q-values about 2.6 time faster than the uniform random selection on the average.

• Korean Journal of Community Nutrition
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• v.13 no.3
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• pp.396-404
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• 2008

This study aimed to evaluate the amount of patients' satisfaction with hospital foodservices among those who were benefited from national health insurance during their hospitalization. A total of 3,094 inpatients from 191 medical institutions were enrolled in this survey. The survey was carried out from July 23 to September 14, 2007 through the face-to-face interview method. All analyses were made using the SPSS software (version 13.0). The mean age of the participants was 53.3 years, 57.0% were women; 34.7% were high-school graduates. Among the respondents, 30.9% stayed in the hospital for $7{\sim}14$ days long, and 52.0% were hospitalized in multi-patient rooms for six persons. The 87.7% of total population had a general diet, and 9.6% selected the food menu that was notcovered by health insurance. In addition, 38.3% of patients regarded the fee of foodservice as inexpensive. Overall, the satisfaction score with hospital foodservice was 3.63 on a Likert-type scale ranging from 1 (extremely dissatisfied) to 5 (extremely satisfied). However, the limitations were indicated including the lack of providing nutritional information and quality of taste. In conclusion, the quality of hospital foodservice might not deteriorate even after enforcement of national payment of medical insurance. Further efforts are required for the diversification of menus and legislative work for improving quality of food service for a successful hospital foodservice policy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.6
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• pp.2095-2110
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• 2015

This paper presents a design for a throughput-efficient online relay selection scheme for dual-hop multi-relay cooperative networks. Problems arise with these networks due to unpredictability of the relaying link quality and high time-consumption to probe the dual-hop link. In this paper, we firstly propose a novel probing and relaying protocol, which greatly reduces the overhead of the dual-hop link estimation by leveraging the wireless broadcasting nature of the network. We then formulate an opportunistic relay selection process for the online decision-making, which uses a tradeoff between obtaining more link information to establish better cooperative relaying and minimizing the time cost for dual-hop link estimation to achieve higher throughput. Dynamic programming is used to construct the throughput-optimal control policy for a typically heterogeneous Rayleigh fading environment, and determines which relay to probe and when to transmit the data. Additionally, we extend the main results to mixed Rayleigh/Rician link scenarios, i.e., where one side of the relaying link experiences Rayleigh fading while the other has Rician distribution. Numerical results validate the effectiveness and superiority of our proposed relaying scheme, e.g., it achieves at least 107% throughput gain compared with the state of the art solution.