• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2470-2478
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• 1999

In this paper, algorithm is proposed to forecast line utilization using SNMP MIB-II. We calculate line utilization using SNMP MIB-II on TCP/IP based Internet and suggest a method for forecasting a line utilization on the basis of past line utilization. We use a MA model taking difference transform among ARIMA methods. A system for orecasting is proposed. To show availability of this algorithm, some results are shown and analyzed about routers on real environments. We get a future line utilization using this algorithm and compare it ot real data. Correct results are obtained in case of being few data deviating from mean value. This algorithm for forecasting line utilization can give effect to line c-apacity plan for a manager by forecasting the future status of TCP/IP network. This will also help a network management of decision making of performance upgrade.

• Journal of the Korean Institute of Gas
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• v.13 no.6
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• pp.39-43
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• 2009

Gasoline engine have proved its utility in light, medium and heavy duty vehicle in every sector of the world community. The concern about long term availability of petroleum and the increasing threat for the environment by the increasing load of vehicular emission, compel the technology to upgrade itself for meeting the challenges. CNG is environmentally clean alternative to the existing SI Engines with out much change in the hardware. Many researchers have found this as a potential substitute to meet the energy requirement. Higher octane number and higher self ignition temperature make it a good gaseous fuel. Although power output is slightly lesser than the gasoline it's thermal efficiency is better than the gasoline for the same SI Engine. Results showed that reduced CO, hydrocarbon emissions is a favorable outcome, with slight increase in NOx emission when compared with gasoline fuel to dual fuel mode in the existing SI Engines.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.4
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• pp.299-308
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• 2001

The company invests its time and money for temporary maintenance to satisfy the fast change of the computer use environment and the user's demands. Therefore, various problems occur including low performance because of duplication of codes and unstable structures from the restructuring and redevelopment. Furthermore, if a developer, who did not participate in initial process of development, wrote additional program codes to upgrade or restructure, it would cause many problems such as lack or lose of development documentation, understanding of documentation and reuse of existing program language. This study, Object-oriented Refactoring Process, suggests that the developers can reuse object unit to overcome the limit of the reusing code. In addition, this paper shows case study to verify our process by adjusting the project called "D2D", which is a case tool for developing windows system from Company D. Our works get positive results such as improvement of system pelfonnance, decreased cost of development and maintenance and optimizing structure and class.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.5
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• pp.447-453
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• 2004

In this paper, we propose a new system to block harmful Internet information based on IP spoofing. The proposed system is located on a organization's internal network and monitors all outgoing traffic and lets all this traffic go outside. Once the proposed system detects a host's access to a harmful site, it sends the host a pseudo RST packet that pretends to be the response from the harmful site, and prevents the connection between the host and the harmful site. The proposed software system is installed on only a server, and need not be installed on user hosts at all. Thus we can maintain and upgrade the blocking system easily. The performance evaluation of the proposed system shows that it effectively blocks the access to the harmful sites. Since the proposed system is based on IP spoofing, it can be used badly as a hacking tool. Finally we propose some methods to eliminate this possibility.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.334-344
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• 2021

The study has suggested a way to minimize safety accidents found in on-site firefighting activity by analyzing firefighters' [investigation report on accidents to on-sie workers]. The study result is described as follows. First, the result of [investigation report on on-site workers] shows that while accidents are found to most frequently have occurred to low-ranking firefighting officers such as Sobangsa and Sobanggyo and firefighting officers with career of less than 5 years, fire-extinguishing activity proved to be the most prone to accidents in the category of activity. Second, analysis performed to identify variance between injury extent and area based on cause of accident shows statistically significant variance. In addition, the result of verifying difference in cause of accident based on category of activity shows significant difference with 'falling over and sliding' being the highly likely cause of accident in fire containment and rescue activities and 'reckless move' being highly likely case of accident in emergency activities. Third, the result of verifying factors behind the extent of injury done to on-site workers shows that when accident is caused by 'incomplete behavior', it was found that the extent of injury is substantial. It was also found that rescue activity is accompanied by substantial extent of injury. As a solution to this, the study suggested ways to establish, extend and operate safety-specific curriculum for entrants, develop materials regarding risk prognosis training and explicate training-related regulations, set up safety management measure for a single squad team, upgrade performance of private protection equipment, institutionalize SOP by on-site activity stage, materialize and activate swift rescue team and increase objectivity and proficiency of safety accident investigation.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.116-122
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• 2019

In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

• The Journal of Information Systems
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• v.31 no.1
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• pp.239-269
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• 2022

Purpose This paper attempts to identify items for improving the usage of PLM(Product Lifecycle Management) systems and suggests ways to prioritize improvement items on the basis of importance. It also tries to find out differences in the importance of improvement items due to the company size, the industry, the job, or the PLM solution. Design/methodology/approach Through a survey from participants to a PLM System Conference, data were collected from a sample of 181 users who had the previous experience in using a PLM system. In order to figure out the differences in the importance among user groups, the F-test with the Scheffe test as a post-hoc analysis was used in case of equal variances and the Welch test with the Dunnett T3 test was used in case of unequal variances. Findings This study sorted out 25 improvement ideas according to their importance assessed by the PLM system users. The top five ideas are improving data consistency, error minimization, fast system response time, enhancing user recognition, and business process improvement. The support group puts higher importance than the general user group in data consistency, fast system response time, enhancing user recognition, business process improvement, dedicated team for data consistency, continuous support from management, hardware performance upgrade, output linkage to other systems, and shortening problem solving duration. The largest company group attaches significantly higher weights than the smallest company group to data consistency, error minimization, fast system response time, business process improvement, dedicated team for data consistency, security with proper access management, output linkage to other systems, and better user interface.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.111-122
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• 2023

Since the organization of civil servants has been divided and stratified according to the characteristics of the bureaucracy, it is inevitable that the organization and personnel will increase when new tasks arise. Even in the process of informatization, only the processing method was brought online while leaving the existing business processing procedures as they were, so there was no reduction in manpower through informatization. In order to maintain or upgrade the current administrative services while reducing the number of civil servants, it is inevitable to use AI technology. By using data and AI to integrate the 'powers and responsibilities assigned to the officials in charge', manpower can be reduced, and the reduced costs can be reinvested in the collection, analysis, and utilization of on-site data to further promote intelligent informatization. In this study, as a way for the government's success in intelligent informatization innovation, we proposed a 'Civil Servants-AI Collaboration Platform'. This Platform based on the civil servant proposal system as a reward system and the characteristics of intelligent informatization that are different from the informatization. By establishing a 'Civil Servants-AI Collaboration Platform', the performance evaluation system of the short-term evaluation method by superiors can be improved to a data-driven always-on evaluation method, thereby alleviating the rigid hierarchy of government organizations. In addition, through the operation of Collaboration Platform, it will become common to define and solve problems using data and AI, and the intelligence informatization of government organizations will be activated.

• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2023-2028
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• 2014

The main purpose of this study is to explore the factors related to the performance of industry-university cooperation and determine methods for improving activation of industry-university cooperation. The data was collected by questionnaire survey mailed to the participating researcher and university professors which executed the university-industry cooperation projects. We determined cronbach Alpha Coefficient, pearson's correlation coefficient and multiple regression analysis. According to multiple regression analysis, reflect of mutual needs and local industry construction have statistically significant relationships with general satisfaction of university. Knowledge and working ability of industry-university cooperation, activeness of industry-university cooperation activity, Local economy scale and local industry construction have statistically significant relationships with general satisfaction of industry. In relation continuity, activeness of industry-university cooperation activity and information exchange have statistically significant relationships with relation continuity of university. Knowledge and working ability of industry-university cooperation and activeness of industry-university cooperation activity have statistically significant relationships with relation continuity of industry. In outcome utilization, knowledge and working ability of industry-university cooperation, research establishment and apparatus have statistically significant relationships with outcome utlization of university. In conclusion, capability factors, cooperative factors, political factors and external environment factors affected industry-universiry cooperation. Knowledge and working ability of industry-university cooperation will be able to upgrade on general satisfaction, relation continuity and outcome utilization.