• Title/Summary/Keyword: monitoring strategy

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Value Measurement Model to Manage Information Systems (정보시스템 관리를 위한 가치측정 방법론 설계)

  • Lee, Sangwon;Kim, Sunghyun;Park, Sungbum;Ahn, Hyunsup
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.99-100
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    • 2014
  • Even though many projects of new development and redevelopment for information systems are invested, they are not taken care of from the perspective of administration and evaluation. Also, decision makers fall short of not only support the process to check alternatives and select an alternative for investment and but also provide necessary information so as to maximize the effects of investments. That is to say, the suggestion of general direction toward IT investment is debatable. Against this backdrop, we propose a value measurement model to manage information systems.

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Design Strategy of Low-Power Node by Analyzing the Hardware Modules in Surveillance and Reconnaissance Sensor Networks (감시정찰 센서네트워크에서 하드웨어 모듈의 소모전력 분석을 통한 저전력 노드 설계 전략)

  • Kim, Yong-Hyun;Yeo, Myung-Ho;Chung, Kwangsue
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.6
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    • pp.761-769
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    • 2012
  • In this paper, we propose a low-power design strategy to minimize energy-consumption for surveillance and reconnaissance sensor networks. The sensor network consists of many different nodes with various operations such as target detection, packet relay, video monitoring, changing protocols, and etc. Each sensor node consists of sensing, computing, communication, and power components. These components are integrated on a single or multiple boards. Therefore, the power consumption of each component can be different on various operation types. First, we identified the list of components and measured power consumption for them from the first prototype nodes. Next, we focus on which components are the main sources of energy consumption. We propose many energy-efficient approaches to reduce energy consumption for each operation type.

Improvement of the Automobile Control Software Testing Process Using a Test Maturity Model

  • Jang, Jin-Wook
    • Journal of Information Processing Systems
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    • v.14 no.3
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    • pp.607-620
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    • 2018
  • The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

Risk-based optimum repair planning of corroded reinforced concrete structures

  • Nepal, Jaya;Chen, Hua-Peng
    • Structural Monitoring and Maintenance
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    • v.2 no.2
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    • pp.133-143
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    • 2015
  • Civil engineering infrastructure is aging and requires cost-effective maintenance strategies to enable infrastructure systems operate reliably and sustainably. This paper presents an approach for determining risk-cost balanced repair strategy of corrosion damaged reinforced concrete structures with consideration of uncertainty in structural resistance deterioration. On the basis of analytical models of cover concrete cracking evolution and bond strength degradation due to reinforcement corrosion, the effect of reinforcement corrosion on residual load carrying capacity of corroded reinforced concrete structures is investigated. A stochastic deterioration model based on gamma process is adopted to evaluate the probability of failure of structural bearing capacity over the lifetime. Optimal repair planning and maintenance strategies during the service life are determined by balancing the cost for maintenance and the risk of structural failure. The method proposed in this study is then demonstrated by numerical investigations for a concrete structure subjected to reinforcement corrosion. The obtained results show that the proposed method can provide a risk cost optimised repair schedule during the service life of corroded concrete structures.

A COMPUTER SIMULATION MODEL AS A MEANS OF EMERGENCY EVACUATION TRAINING FOR CONSTRUCTION PROJECTS

  • Chung-Suk Cho;Dong-Cheol Shin
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.864-868
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    • 2009
  • Fire safety management on any construction site should start with recognizing fire risks in the workplace, understanding the extent of the risks, and proper assessment of the controls necessary to reduce the risks. However, the most important step to prevent fire-related accidents on jobsites is the constant review and monitoring of processes and controls by all individuals involved. This study was conducted to analyze the effectiveness of using computer simulation as an addition to maps or floor plans in safety training and management. Simulex was used on a real project to model various egress routes and to identify potential problem areas of the evacuation strategy. This study highlights the efficacy of simulated emergency evacuation as a training tool that visually shows constantly altering means of egress.

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Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain

  • Tomita, Daijiro;Kusukawa, Etsuko
    • Industrial Engineering and Management Systems
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    • v.14 no.1
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    • pp.44-57
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    • 2015
  • In recent years, for the purpose of solving the problem regarding environment protection and resource saving, certain measures and policies have been promoted to establish a reverse supply chains (RSCs) with material flows from collection of used products to reuse the recycled parts in production of products. It is necessary to analyze behaviors of RSC members to determine the optimal operation. This paper discusses a RSC with a retailer and a manufacturer and verifies the behavior strategies of RSC members which may change over time in response to changes parameters related to the recycling promotion activity in RSC. A retailer takes two behaviors: cooperation/non-cooperation in recycling promotion activity. A manufacturer takes two behaviors: monitoring/non-monitoring of behaviors of the retailer. Evolutionary game theory combining the evolutionary theory of Darwin with game theory is adopted to clarify analytically evolutionary outcomes driven by a change in each behavior of RSC members over time. The evolutionary stable strategies (ESSs) for RSC members' behaviors are derived by using the replicator dynamics. The analysis numerically demonstrates how parameters of the recycling promotion activity: (i) sale promotion cost, (ii) monitoring cost, (iii) compensation and (iv) penalty cost affect the judgment of ESSs of behaviors of RSC members.

Health monitoring of multistoreyed shear building using parametric state space modeling

  • Medhi, Manab;Dutta, Anjan;Deb, S.K.
    • Smart Structures and Systems
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    • v.4 no.1
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    • pp.47-66
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    • 2008
  • The present work utilizes system identification technique for health monitoring of shear building, wherein Parametric State Space modeling has been adopted. The method requires input excitation to the structure and also output acceleration responses of both undamaged and damaged structure obtained from numerically simulated model. Modal parameters like eigen frequencies and eigen vectors have been extracted from the State Space model after introducing appropriate transformation. Least square technique has been utilized for the evaluation of the stiffness matrix after having obtained the modal matrix for the entire structure. Highly accurate values of stiffness of the structure could be evaluated corresponding to both the undamaged as well as damaged state of a structure, while considering noise in the simulated output response analogous to real time scenario. The damaged floor could also be located very conveniently and accurately by this adopted strategy. This method of damage detection can be applied in case of output acceleration responses recorded by sensors from the actual structure. Further, in case of even limited availability of sensors along the height of a multi-storeyed building, the methodology could yield very accurate information related to structural stiffness.

Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS

  • Elijorde, Frank;Kim, Sungho;Lee, Jaewan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1362-1376
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    • 2016
  • A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual organizations. To attain the desired reliability and energy efficiency in a cloud data center, trade-offs need to be carried out between system performance and power consumption. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. The work presented in this paper is directed towards the development of an Energy-efficient and Performance-aware Cloud System equipped with strategies for dynamic switching of optimization approach. Moreover, a platform is also provided for the deployment of a Wind Farm CMS (Condition Monitoring System) which allows ubiquitous access. Due to the geographically-dispersed nature of wind farms, the CMS can take advantage of the cloud's highly scalable architecture in order to keep a reliable and efficient operation capable of handling multiple simultaneous users and huge amount of monitoring data. Using the proposed cloud architecture, a Wind Farm CMS is deployed in a virtual platform to monitor and evaluate the aging conditions of the turbine's major components in concurrent, yet isolated working environments.

Statistics Quality Assessment and Improvement of Monitoring on Soil Quality (토양오염도 현황 통계의 품질 진단과 개선 방안)

  • Kim, Kee-Dae
    • Journal of Environmental Science International
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    • v.18 no.10
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    • pp.1079-1088
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    • 2009
  • The statistics of monitoring on soil quality is a report statistics which is made on the basis of Article 15, Environment Strategy Basic Law and Article 5, Soil Environment Conservation Law. This study was conducted according to quality assessment of Korea National Statistical Office. The assessment of quality infrastructure advised that the authority bring up and increase completely responsible officer and secure the budget. The assessment of user satisfaction and reflection of request propose that the statistics is focused on soil background concentration, decrease soil sampling points and extend survey period. The assessment of error management system per processes of detailed preparation suggest change of the statistics objective, a reduction of sampling points and improvement of survey period and soil measurement properties. Accuracy assessment of data proposed cuts of sampling points, accessibility increment and build up of management system linking subordinates and Ministry of Environment. The substantiality assessment of data service demonstrated information environment improvement for users including reference expression and records of statistics table and figure contents.

Hard-landing Simulation by a Hierarchical Aircraft Landing Model and an Extended Inertia Relief Technique

  • Lee, Kyu Beom;Jeong, Seon Ho;Cho, Jin Yeon;Kim, Jeong Ho;Park, Chan Yik
    • International Journal of Aeronautical and Space Sciences
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    • v.16 no.3
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    • pp.394-406
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    • 2015
  • In this work, an efficient aircraft landing simulation strategy is proposed to develop an efficient and reliable hard-landing monitoring procedure. Landing stage is the most dangerous moment during operation cycle of aircraft and it may cause structural damage when hard-landing occurs. Therefore, the occurrence of hard-landing should be reported accurately to guarantee the structural integrity of aircraft. In order to accurately determine whether hard-landing occurs or not from given landing conditions, full nonlinear structural dynamic simulation can be performed, but this approach is highly time-consuming. Thus, a more efficient approach for aircraft landing simulation which uses a hierarchical aircraft landing model and an extended inertia relief technique is proposed. The proposed aircraft landing model is composed of a multi-body dynamics model equipped with landing gear and tire models to extract the impact force and inertia force at touch-down and a linear dynamic structural model with an extended inertia relief method to analyze the structural response subject to the prescribed rigid body motion and the forces extracted from the multi-body dynamics model. The numerical examples show the efficiency and practical advantages of the proposed landing model as an essential component of aircraft hard-landing monitoring procedure.