• The KIPS Transactions:PartC
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• v.18C no.2
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• pp.103-110
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• 2011

Although a mobile Internet telephony service becomes popular with the rapid propagation of smart phones, its service quality management system has not been prepared enough yet. For successful settlement and deployment of the mobile Internet telephony service in future, a strict service quality management is required. The service quality management using a specific measurement equipment has limitations that real-time monitoring is impossible. In this paper, therefore, we propose a proactive service quality management system for the mobile Internet telephony service and develop a software for its implementation. The developed software is verified by comparing the measurement results from the developed software to those from the softwares commonly used, and it is proved that the developed software is quite reliable.

• Journal of the Semiconductor & Display Technology
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• v.20 no.2
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• pp.121-125
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• 2021

Cloud service has the characteristic that it must be always available and that it must be able to respond immediately to user requests. This study suggests a method for constructing a proactive and autonomous quality and performance management system to meet these characteristics of cloud services. To this end, we identify quantitative measurement factors for cloud service quality and performance management, define a structure for applying a time series framework to cloud service application quality and performance management for proactive management, and then use big data and artificial intelligence for autonomous management. The flow of data processing and the configuration and flow of big data and artificial intelligence platforms were defined to combine intelligent technologies. In addition, the effectiveness was confirmed by applying it to the cloud service quality and performance management system through a case study. Using the methodology presented in this study, it is possible to improve the service management system that has been managed artificially and retrospectively through various convergence. However, since it requires the collection, processing, and processing of various types of data, it also has limitations in that data standardization must be prioritized in each technology and industry.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.142-147
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• 2004

Until now, our country environment management system are operated by past control system, but which system have many restrict to be familiar environment. Nowadays, many company try proactive control environment management system, specially by ISO 14001 system. In this paper we propose new Excellence Environmental Management Strategic which are compounded with Malcom Baldridge National Quality Award and ISO 14001.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.53
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• pp.45-54
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• 1999

Manufacturing today is becoming increasingly competitive. If a company is to exist and successfully compete, it must pay very careful attention to production management, total quality assurance and total proactive maintenance issues. Overall machine performance, repair efficiency, system level utilization, productivity and quality of output need to be optimized as possible. To accomplish that objective, the behavior of manufacturing equipment and systems need to be monitored and measured continuously if it is possible. Then early warning of possible failure should be generated and proacted on that type of the situation to improve overall operation performance of manufacturing environment. In this paper, Proactive maintenance framework using performance-based reliability structure as enabler technology is proposed. Its paradigm enables one to maximize system through-put and product quality as well as resources in the performance domain. In the case of inadequate knowledge of the failure mechanics, this empirical modeling concept along with performance degradation knowledge can serve as an important product and process improvement tool. The real-time framework extension to proposed framework uses on-line performance information and is capable of projecting the remaining useful period.

• Journal of Aerospace System Engineering
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• v.2 no.3
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• pp.7-11
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• 2008

This is a study to research the effective way to enhance the performance of safety management by gathering and analyzing the information of undesirable occurrences that may result in accident or serious incident. This includes the way to identify the potential hazards related with the proactive activities. As detailed improvements, this paper introduces the mandatory and voluntary reporting system, normal operation safety survey, ATC quality assurance and the encouragement of just culture.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.51-57
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• 2003

In operating distributed systems, proactive management is one of the major concerns for better quality of service and future capacity planning. In order to handle this management problem effectively, it is necessary to analyze performances of the distributed system and events generated by components in the system. This paper provides a rule-based event parsing engine for proactive management. Our event parsing engine uses object hooking-based and event-token approaches. The object hooking-based approach prepares new conditions and actions in Java classes and allows dynamically exchange them as hook objects in run time. The event-token approach allows the event parsing engine consider a proper sequence and relationship among events as an event token to trigger an action. We analyze the performance of our event parsing engine with two different implementations of rule structure; one is table-based and the other is tree-based.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.57-64
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• 2016

Initial prevention activities and rapid propagation conditions is the most important to prevent diffusion of water pollution. If water pollutants flow into streams river or main stresm located in environmental conservation area or water intake facilities, we must predict immediately arrival time and the diffusion concentration to the proactive. National Institute of Environmental Research developed water pollution incident response prediction system linking dam and movable weir. the system is mathematical model which is updated daily. Therefore it can quickly predict the arrival time and the diffusion concentration when there are accident of oil spills and hazardous chemicals. Also we equipped with mathematical model and toxicity model of EFDC(Environmental Fluid Dynamics Code) to calculate the arrival time and the diffusion concentration. However these systems offer the services of an offline manner than real-time control services. we have ensured the reliability of data collection and have developed a real-time water quality measurement data transmission device by using the data linkage utilizing a mode bus communication and a commercial SCADA system, in particular, we implemented to be able to do real-time water quality prediction through information infrastructure of the water quality integrated management business created by utilizing the construction of the real-time prediction system that utilizes the data collected, the Open map, the visual representation using charts API and development of integrated management system development based on web maps.

• Proceedings of KOSOMES biannual meeting
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• 2000.05a
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• pp.14-25
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• 2000

Should the Korea Maritime Police Agency (KMPA) be a comprehensive, multi-functional organization for a unique on-scene service at sea, as in the case of the U.S. Coast Guard, or should it be simply a water police agency, confining its mission only to law enforcement? The argument about enlarging or limiting KMPA's function has been and will be repeated. In this paper, Lee Sangjib highlights the internal and external issues facing KMPA, stemming partly from deficiencies of its struggles for advancement of the organization and partly from shortcomings of political support for it. In this regard, he urges KMPA to practise a scientific management system for maximizing cost-effectiveness of its administrative resources and for maintaining its identity and characteristics as a lead maritime agency. In addition, he also suggests that KMPA adopt the Total Quality Management System for quality improvements in services and greater efficiency in its organization structure to meet the future competition in the changing political and legal environment. He further recommends the proactive, non-regulatory 'Prevention Through People' program, pioneered by the U.S. Coast Guard, as a way of changing KMPA's existing lopsidedly legalistic culture. He concludes by providing a 6-point vision statement for KMPA from the standpoint of favoring enlarging the function of KMPA.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.310-312
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• 2015

Small Unmanned Aerial Systems (SUAS) have been gaining a special attention in the U.S. recently because it is capable of getting aerial footages conveniently and cost effectively, but also because of its potential threat to the safety of our society. Regarding the benefits, one can easily find successful cases. For example, remote controlled or pre-programmed unmanned aircraft help ranch owners monitor their livestocks or crop harvesting status cost-effectively without having to hire human pilots. The professionals in the construction industry also acknowledge the benefits they could gain from using SUAS. Some firms already use a small unmanned aircraft for monitoring their construction activities, which may help project managers figure out construction progress, resolve disputes in real time, and make proactive decisions for quality control. However, there are many technical challenges that my hinder the use of small unmanned aircraft in the construction industry. This paper explores opportunities and challenges in using unmanned aircraft to monitor concrete cracks on the surface of containment building in the nuclear power plant.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.102-108
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• 2015

According to various researches, one of main causes of flight accidents is influence of human factors. It is important to collect and analyze event data in advance to minimize and prevent human errors by developing safety checklist. As a result international aviation industry developed Flight Operations Quality Assurance for commercial airliners, and, upon its proven effectiveness, it is now highly recommended to adopt for helicopter operations. Consequently, S government organization instituted Helicopter Flight Operations Quality Assurance system in 2012. Hence, this study conducted regression analysis of S organization's flight event frequency and applied ICAO SMS Matrix to categorize the severity of the events according to international standards. Based on the analysis, this research derived fundamental checklist factors for helicopter, which can be a proactive measure for safe operation.