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

• Journal of Digital Convergence
• /
• v.14 no.5
• /
• pp.341-348
• /
• 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
• /
• v.18 no.6
• /
• pp.271-277
• /
• 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.

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

• Journal of Digital Convergence
• /
• v.11 no.8
• /
• pp.95-108
• /
• 2013

Agile development methods regards an interaction among software developers, operating softwares, and cooperation with customers as its main value. Most of the developing processes undergo a procedure called tailoring to meet the relevant project. Yet, in reality, projects run in disorder due to their overlap with other methods and management processes. As a result, the advantages of agile process cannot be fully used. So, the information system audit has an important role to detect these problems and improve the qualities of agile application projects. Also, researches should be conducted on Agile-based Iformation System Audit Model in order to enhance the effectiveness of agile projects. This paper suggests a model for an information system audit that applied agile developing methods. This model proposes audit domains and check lists for agile-based information system. In order to verify the suitability of the suggested model, more than 89.3% of the checklists were verified as suitable in all domains.

• KIISE Transactions on Computing Practices
• /
• v.23 no.5
• /
• pp.310-315
• /
• 2017

In a centralized control structure, the software defined network controller manages all openflow enabled switched in a data plane and controls the telecommunication between all hosts. In addition, the network manager can easily deploy the network function to the application layer with a software defined network controller. For this reason, many methods for network management using a software defined network concept have been proposed. The main policies for network management are related to traffic Quality of Service and resource management. In order to provide Quality of Service and load distribution for network users, we propose an efficient routing method using a naive bayesian algorithm and transmission delay estimation module. In this method, the forwarding path is decided by flow class and estimated transmission delay result in the software defined network controller. With this method, the load on the network node can be distributed to improve overall network performance. The network user also gets better dynamic Quality of Service.

• Journal of Digital Convergence
• /
• v.12 no.6
• /
• pp.289-295
• /
• 2014

Intrusion detection system is a means of security that detects abnormal use and illegal intension in advance in real time and reenforce the security of enterprises. Performance of intrusion detection system is judged by information collection, intrusion analysis, intrusion response, review and protection of intrusion detection result, reaction, loss protection that belong to the area of intrusion detection. In this paper, we developed a evaluation model based on the requirements of intrusion detection system and ISO international standard about software product evaluation.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.681-683
• /
• 2011

최근 태양광 및 풍력과 같은 신재생에너지원을 기반으로 한 국가정책에 따라 대규모의 분산전원이 도입 운용되고 있다. 그러나 대용량 분산전원의 계통연계에 대한 기술기준 및 체계적인 선로운영 기술기준이 미흡한 상태이며 정상상태 운용에서 태양광이 배전계통에 연계시 수용가 말단에 전력품질과 고조파 문제가 발생하여 분산전원의 배전계통 전압변동 특성 해석이 필요하다. 이에 본 논문에서는 태양광 전원이 배전계통에 연계 운전시 발생되는 문제를 분석하기 위해 배전계통의 대표적인 상용소프트웨어인 PSCAD/EMTDC를 이용하여 모델링을 수행하였다. 그리고 Simulation결과와 이론적인 수식과 비교, 분석을 통해 PV의 계통연계 전압특성을 제시하였다.

• Journal of the Korea Construction Safety Engineering Association
• /
• s.33
• /
• pp.62-75
• /
• 2005

건설 프로젝트 관리의 주요한 목표는 계획된 시간 내에, 정해진 예산으로 규정된 목표(명세 또는 품질)를 확보하는 것이다. 국내 건설 산업은 타 산업 분야에 비하여 생산성이 매우 낮은 편이다. 이는 60년대 이후 급속한 개발 정책에 따른 부작용의 하나로, 하드웨어의 급속한 성장에 비하여 이를 관리하기 위한 소프트웨어의 개발이 부족했기 때문으로 풀이할 수 있다. 이에 본 연구에서는 건설 프로젝트의 생산성을 향상시키기 위한 노력의 일환으로 계획 단계에서의 실행과 완성 단계에서의 실행을 비교하여 이를 작업일보, 감독일지 등의 진도관리 자료를 활용하여 분석하여 건설 프로젝트의 실제적인 생산성 저하 요인을 도출하였다. 따라서 본 연구 결과는 현행 국내의 건설 프로젝트에 대한 사례분석을 통하여 실제적인 생산성 저하 요인을 분석한 것인 만큼 향후 건설 관리 기술의 향상에 많은 도움을 줄 수 있을 것으로 기대된다.

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