• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.365-373
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• 2021

Loan monitoring is a fundamental element of credit control. The importance of loan monitoring is to reduce loan defaults and to increase loan repayment performance. The ex-post monitoring can also increase the loan quality and thus a concern to many creditors in the market economy. This study identifies the role of ex-post monitoring on loan repayment performance in the context of rural Vietnam. Employing primary data from rural areas of Vietnam, this study investigates the impacts of ex-post monitoring on loan repayment performance of individual borrowers in terms of on-time loan repayment and the rate of loan repayment. Descriptions of borrower demographics, loan information, and ex-post monitoring show the initial picture of borrowers and loans in Vietnam's rural areas. Quantitative estimations that use the Probit and the Tobit model confirm the argument that better ex-post monitoring would result in better loan repayment performance in both on-time repayment and repayment rate. Thus, some policy suggestions have been made to improve the monitoring system in each financial institution. The study also indicates that some other factors too affect loan repayment performance such as borrower's characteristics (education, agricultural working area, and income) as well as loan's characteristics (loan size, maturity, and loan purpose).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1894-1902
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• 2009

As the spread of LBS(Location Based Service), MDT(Mobile Data Terminal) and PDA (Personal Digital Assistant) services using mobile terminals, various systems are under development to to manage the performance of these services. This paper describes a mobile performance management system which is implemented to test the performance of mobility between the user and the terminal or between the terminal and the mobile server automatically in the mobile-user field. The system has four modules: scenario management module, MDT monitoring, LBS monitoring, and PDA monitoring. The scenario management module manages the performance by monitoring all modules. The LBS monitoring module monitors LBS call attempt stage, call connecting stage, and LBS test for established connection. Thus, the LBS monitoring module manages the performance for every stage of the call. The MDT monitoring module monitors the performance according to the input command and the PDA monitoring module monitors according to the input from the set up and the execution menu.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.86-109
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• 2019

Cloud computing systems' performance is still a central focus of research for determining optimal resource utilization. Running several existing benchmarks simultaneously serves to acquire performance information from specific cloud system resources. However, the complexity of monitoring the existing performance of computing systems is a challenge requiring an efficient and interactive user directing performance-monitoring system. In this paper, we propose an effective multivariate control framework for monitoring cloud systems performance. The proposed framework utilizes the hardware cloud systems performance metrics, collects and displays the performance measurements in terms of meaningful graphics, stores the graphical information in a database, and provides the data on-demand without requiring a third party software. We present performance metrics in terms of CPU usage, RAM availability, number of cloud active machines, and number of running processes on the selected machines that can be monitored at a high control level by either using a cloud service customer or a cloud service provider. The experimental results show that the proposed framework is reliable, scalable, precise, and thus outperforming its counterparts in the field of monitoring cloud performance.

• Journal of the Earthquake Engineering Society of Korea
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• v.2 no.3
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• pp.73-81
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• 1998

In this paper, the necessity of developing effective nondestructive testing and monitoring techniques for the evaluation of structural integrity and performance is described. The evaluation of structural integrity and performance is especially important when the structures and subject to abrupt external forces such as earthquake. A prompt and extensive inspection is required over a large area of earthquake-damaged zone. This evaluation process is regarded as a part of performance-based design. In the paper, nondestructive testing and monitoring techniques particularly for concrete structures are presented as methods for the evaluation of structural integrity and performance. The concept of performance-based design is first defined in the paper followed by the role of evaluation of structures in the context of overall performance=based design concept. Among possible techniques for the evaluation, nondestructive testing methods for concrete structures using radar and a concept of using fiber sensor for continuous monitoring of structures are presented.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.10
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• pp.138-148
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• 1995

While Model-based Monitoring systems based on state observer theory have shown much promise in the laboratory, they have not been widely accepted by industry because, inpractice, these systems often have poor performance with respect to accuracy, band-width, reliability(false alarms), and robustness. In this paper, the linitations of the deterministic discrete-time state observer are investigated quantitatively from the machine monitoring viewpoint. The limitations in the transient and steady-state observer performance are quantified as estimation error bounds from which performance indices are selected. Each index represents the conditioning of the corresponding performance. By utilizing matrix norm theory, an unified main index is determined, that dominates all the indices. This index could from the basis for an observer design methodology that should improve the performance of model-based monitoring systems.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.313-315
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• 2002

본 논문에서는 3D Cyber Museum Service에서의 효과적인 Multicast performance monitoring을 위한 receiver 기반의 분산 모델을 제안한다 멀티캐스트 네트워크를 통해 전송되는 멀티미디어 서비스의 효과적인 performance monitoring을 위해서 사용자들이 경험하는 QoS를 사용자의 호스트상에서 보다 직접적으로 측정하고, 멀티캐스트를 사용함으로써 얻어지는 대역폭의 효율적인 사용에 대한 측정을 위한 모델을 설계한다.

• Women's Health Nursing
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• v.22 no.1
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• pp.21-29
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• 2016

Purpose: This study aimed to develop supplementary material about the electronic fetal monitoring for nursing students, and to test the effects on electronic fetal monitoring related knowledge and confidence on nursing performance in delivery room. Methods: Totally 58 nursing students were recruited either experimental group (n=30) or a control group (n=28). A non-equivalent control group pretest-posttest design was employed to test the effects on fetal monitoring related knowledge and confidence on nursing performance in delivery room. The supplementary material about the electronic fetal monitoring was developed based on Analysis, Design, Development, Implement and Evaluation (ADDIE) model. Fetal monitoring related knowledge and confidence on nursing performance in delivery room were self-reported by the scales that author developed. Data were collected at pre-test and after the 6-week intervention. Results: There was significant difference in confidence on nursing performance in delivery room between two groups after intervention. Conclusion: These findings suggest the importance of the supplementary material about the electronic fetal monitoring for nursing students to improve confidence on nursing performance in delivery room.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.8 no.2
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• pp.26-32
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• 2012

The systems of the nuclear power plant are designed based on the User Requirement Document, and Korea Hydro & Nuclear Power Co. (KHNP) implements preventive maintenance activities to keep the specific design function of the system consistently. To monitor the preventive maintenance effectiveness, KHNP has also developed maintenance effectiveness monitoring (MR) program based on NUMARC 93-01 since 2003, and has implemented the program in all operating plants. Recently, KHNP has upgraded MR programs by reflecting implementing experiences ; reestablishing the performance monitoring level, improving analysis for standby function and performance criteria for passive components, reestablishing the availability performance criteria and the performance criteria for the same type of components. These upgraded MR programs will contribute to enhance safety and improve equipment reliability through monitoring maintenance effectiveness.

• Journal of Power System Engineering
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• v.13 no.1
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• pp.53-58
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• 2009

The emergency diesel generator(EDG) of the nuclear power plant is designed to supply the power to the nuclear reactor on Station Black Out(SBO) condition. The operation reliability of onsite emergency diesel generator should be ensured by a conditioning monitoring system designed to monitor and analysis the condition of diesel generator. For this purpose, we have developing the technologies of condition monitoring for the wolsong unit 3&4 standby diesel generator including diesel engine performance. In this paper, technologies of condition monitoring for the wolsong standby diesel generator are described about three step. First is for selection of operating parameter for monitoring. Second is for technologies of online condition monitoring, Third is for monitoring of engine performance.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2612-2616
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• 2003

Method for performance monitoring and diagnosis of a MIMO control system has been studied aiming at application to model predictive control (MPC) for industrial processes. The performance monitoring part is designed on the basis of the traditional SPC/SQC method. To meet the underlying premise of Schwart chart observation that the observed variable should be univariate and independent, the process variables are decorrelated temporally as well as spatially before monitoring. The diagnosis part was designed to identify the root of performance degradation among the controller, process, and disturbance. For this, a method to estimate the model-error and disturbance signal has been devised. The proposed methods were evaluated through numerical examples.