• Journal of agricultural medicine and community health
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• v.34 no.1
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• pp.34-46
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• 2009

Objectives: This study was conducted to estimate health service weight for resource allocation and performance monitoring using Basic Priority Rating System. Methods: The Health service would be classified according to New Health Plan 2010, and Burden of disease collected from preceding studies. The data of severity of health problem and effectiveness of intervention were collected through the survey of experts' suggestion. The health service weight was estimated in the formula which is Basic Priority Rating System. Results: In the result of analysis, the health service weight of Infectious disease was ranked highest at 58.97% followed by Anti-smoking campaign(14.07%), Hypertension(3.87%), Diabetes mellitus(3.40%), Cancer(2.90%), Cardiovascular-Cerebrovascular diseases(2.86%), Physical activity(2.10%), Moderate drinking(2.07%), Medical examination(1.92%), Mental health promotion(1.72%), Serious mental illnesses(1.62%), Nutrition(1.52%), Oral health promotion(1.15%), Oral diseases(1.10%), Addiction(0.73%). Conclusions: We think the result of this study provides a rational basis for resource allocation and performance monitoring of health service.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.3
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• pp.129-137
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• 2020

Kubernetes is one of the most widely used tool in cloud computing environments. It m anages POD as a basic operational unit, providing a isolated environments through container tech nology. Basically, its scheduler properly allocates POD, considering the utilizations of CPUs, mem ories and volumes on hosts. In our work, we develop a customized scheduling framework additio nally considering network resources. In the framework, we can monitor the dynamic variations of resources and make it possible to utilize the resources for the scheduler. This framework offers not only observing necessary information but also visualizing the data to scheduler for providing convenience.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4759-4775
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• 2015

The reduction of power consumption in large-scale datacenters is highly-dependent on the use of virtualization to consolidate multiple workloads. However, these consolidation strategies must also take into account additional important parameters such as performance, reliability, and profitability. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. In this paper, we put forward a data center monitoring strategy which dynamically alters its approach depending on the cloud system's current state. Results show that our proposed scheme outperformed strategies which only focus on a single metric such as SLA-Awareness and Energy Efficiency.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.3
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• pp.99-105
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• 2021

The cloud computing evolution has brought us increasing necessity to manage virtual resources. For this reason, Kubernetes has developed to realize autonomous resource management in a large scale. It provides cloud computing infrastructure to handle cluster creations and deletions in a secure virtual computing environment. In the paper, we provide a monitoring scheme in which users can observe securely encrypted protocols while each Kubernetes component exchanges their packets. Eventually, users can utilize the proposed scheme for debugging as well as monitoring.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.188-191
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• 2008

The Tonle Sap, Cambodia, is a huge lake and periodically flooded due to monsoon climate. The incoming water causes intensive flooding that expands the lake over vast floodplain and wetland consisting mainly of forests and shrubs. Monitoring the water-level change over the floodplain is essential for flood prediction and water resource management. A main objective of this study is flood monitoring over Tonle Sap area using ALOS PALSAR. To study double-bounce effects in the lake, backscattering effect using ALOS PALSAR dual-polarization (HH, HV) data was examined. InSAR technique was applied for detection of water-level change. HH-polarization interferometric pairs between wet and dry seasons were best to measure water level change around northwestern parts of Tonle Sap. The seasonal pattern of water-level variations in Tonle Sap studied by InSAR method is similar to the past and altimeter data. However, water level variation measured by SAR was much smaller than that by altimeter because the DInSAR measurement only represents water level change at a given region of floodplain while altimeter provides water level variation at the central parts of the lake.

• Convergence Security Journal
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• v.4 no.3
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• pp.27-35
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• 2004

A current trend in telecommunication is the convergence of wireless communication and computer network technologies, and the emergence of wireless application protocol(WAP) devices is an example. Computer system managers are often requested to solve urgent system problems. Many times, they cannot access a computer to perform remote system management tasks. Aiming at solving this problem, this paper presents a novel tool for system management that uses a WAP interface, and focuses on the description of the architecture and the associated application modules.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.613-622
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• 2001

As logistic environment of digital resources is rapidly changing, protection of the intellectual property for digital resources has been recognized as one of important issues. Digital Rights Management (DRM) has taken much interests from ISP, authors and publishers of digital content as an integrated approach to create a reliable environment for access and the use of digital resource. In this paper we proposed a dynamic digital rights management system based on adaptive agent theory (ARPA : Adaptive Resource Protection Agent) to address problems facing contemporary DRM approaches : static rights management problem solving and strengthened monitoring/tracking system. We introduced a dynamic mission control scheme to realize dynamic digital rights management. We incorporated adaptive agent theory to implement on-and off-line tracking and protection. Through the implementation of protype system, the process, the process dynamic digital rights protection will be demonstrated.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.1041-1049
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• 2011

According to the development of society and infrastructure, effective underground facility management is growing more important them ever. In the process various monitoring systems are studied and developed for water works pipe-network. Especially, RTD-1000 system with the based on Pc. Reflector-monitoring device is constructed and steered by several local governments. But, this system have to be improved result from based on PC system structure at the point of resource management, heat, power consumption and size. In this paper, RTD-2000 is proposed are a substitution of improved RTD-1000 with many respect and portable one. This system is designed and implemented with ARM-9 development kit based on WinCE and LCD eliminate TDR(Time Domain Reflector-Meter). Various surveillance programs based on windows are mounted on RTD-1000 are replaced with dedicated embedded application softwares. Simulation and evaluation for performance comparison are performed for the prove of effectiveness of RTD-2000.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.123-131
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• 2016

Process mining in big data environment utilize a number of data were generated from the business process. It generates lots of knowledge and insights regarding implementation and improvement of the process through the event log of the company's enterprise resource planning (ERP) system. In recent years, various research activities engaged with the audit work of company organizations are trying actively by using the maximum strength of the mining process. However, domestic studies on applicable sales auditing system for the process mining are insufficient under big data environment. Therefore, we propose process-mining methods that can be optimally applied to online and traditional auditing system. In advance, we propose continuous monitoring information system that can early detect and prevent the risk under the big data environment by monitoring risk factors in the organizations of enterprise. The scope of the research of this paper is to design a pre-verification system for risk factor via practical examples in sales auditing. Furthermore, realizations of preventive audit, continuous monitoring for high risk, reduction of fraud, and timely action for violation of rules are enhanced by proposed sales auditing system. According to the simulation results, avoidance of financial risks, reduction of audit period, and improvement of audit quality are represented.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.243-248
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• 1999

From the lessons after the Nakhodka oil-spill in Jan. 1997, oil slick detection by using remote sensing data and assimilating the data to the simulation program is important for monitoring the oil-drift pattern. For this object, we are going to construct the oil-spill warning system for estimating the oil-drift pattern using remotesensing/numerical simulation Model. Additionally we plan to use this system for restorating oil-spill damage domestically, such as estimating the ecological damage and making the priority fur restorating the oil-spilled shoreline. This report is intended to summarize the role of geo-informatics in the oil spill accident by not only paying attention to the effect of information provision/information management via the map, but also reporting the interim result in part based on the details discussed in the processes of recovery support and environmental impact assessment during the Nakhodka's accident.