• Title/Summary/Keyword: Operating Strategy

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A Strategy for Adopting Server Virtualization in the Public Sector: NIPA Computer Center

  • Song, Jong-Cheol;Ryu, Jee-Woong;Moon, Byung-Joo;Jung, Hoe-Kyung
    • Journal of information and communication convergence engineering
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    • v.10 no.1
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    • pp.61-65
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    • 2012
  • Many public organizations have been adopting and operating various servers. These servers run on Windows, Unix, and Linux operating systems that generally use less than 10% of their capacity. For migrating a public organization to cloud computing, we must first virtualize the server environment. This article proposes a strategy for server virtualization that the National IT Industry Promotion Agency (NIPA) has done and describes the effects of a public organization migrating to cloud computing. The NIPA Computer Center planned an effective virtualization migration on various servers. This project of virtualization migration was conducted with the existing policy of separate x86 servers and Unix servers. There are three popular approaches to server virtualization: a virtual machine model, a paravirtual machine model, and virtualization at the operating system layer. We selected a VMware solution that uses the virtual machine model. We selected servers for virtualization in the following manner. Servers were chosen that had the highest rate of service usage and CPU usage and had been operating for five years or more. However, we excluded servers that require 80% or greater rates of CPU usage. After adopting the server virtualization technique, we consolidated 32 servers into 3 servers. Virtualization is a technology that can provide benefits in these areas: server consolidation and optimization, infrastructure cost reduction and improved operational flexibility, and implementation of a dual computing environment.

Establishing HP/LP-EGR System and Founding Operating Strategy of Low Temperature Combustion Engine to Improve Fuel Consumption (연료소비율 개선을 위한 고압/저압 배기재순환 시스템 구축 및 저온연소 엔진의 운전전략 수립)

  • Shin, Seunghyup;Han, Youngdeok;Shim, Euijoon;Kim, Duksang
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.3
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    • pp.81-89
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    • 2014
  • This study researched on the effect of HP/LP-EGR system to improve fuel consumption of Low Temperature Combustion Engine. Firstly, low temperature combustion engine with HP/LP-EGR system was established using 6.0L wastegate turbocharger HDDI engine. And suppliable EGR rate of the engine was proven to be enough to realize stable low temperature combustion. Then, optimum operating strategy was founded to develop fuel consumption of the engine. Control parameters were HP/LP-EGR valve and IPCV(Intake Pressure Control Valve) duty. Experiments method was that characteristics of the engine were measured and analyzed according to HP/LP-EGR strategies while EGR rate was fixed. Operating range for the strategy were divided into three parts, low load for low temperature combustion, high load for conventional diesel combustion, and transient condition. Finally, with the above strategy of this study, BSFC of the engine was improved about 2% compared to the base engine, and emission level, NOx and PM, met Tier4Final emission regulation.

Study on Differentiation Strategies of Private Brand Product in Convenience Store: Focused on BGF Retail (편의점 PB상품의 차별화 전략에 대한 연구: BGF 리테일을 중심으로)

  • Kim, So-Hyung
    • Journal of Distribution Science
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    • v.15 no.8
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    • pp.55-64
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    • 2017
  • Purpose - PB products at convenience stores take up about 20% of all products, and strategies for differentiation from other companies and brand image building are very important. This study would investigate the strategy for differentiating PB products and successful brand building strategy, focusing on BGF Retail that is operating 'CU', the leader in the convenience store industry in Korea. Research design, data, and methodology - This study would attempt to make an exploratory approach to PB products limited to those in convenience stores. As a research subject, this study chose BGF Retail, the operator of CU, which is the leader in the convenience store industry in Korea and chose the case study method in order to examine the strategy for differentiating PB products in convenience stores more in depth. For this purpose, this study collected materials such as papers, newspaper articles and various reports on convenience store-related PB products and conducted an in-depth study including more practical contents through an interview with CU workers. Results - CU pursued the diversity of PB products and has had the diversity of products, more than 120 kinds. It founded a product research institute and has been in charge of the differentiation strategy from planning products to launching them. Changing the target layer of consumers to those in middle age of the 40s-50s, it succeeded in the strategy expanding the consumer class. In the long run, despite it changed the name of the company, it has built a successful image, and both revenue and operating profit have continuously grown up. Conclusions - In results, CU has reset the changing main target population, and the product research institute succeeded in the innovation of products, reflecting new trends the customers want. Through this study, the practical implications could be provided for competitors.

Effects of Key Operating Parameters on the Efficiency of Two Types of PEM Fuel Cell Systems (High-Pressure and Low-Pressure Operating) for Automotive Applications

  • Kim Han-Sang;Lee Dong-Hun;Min Kyoungdoug;Kim Minsoo
    • Journal of Mechanical Science and Technology
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    • v.19 no.4
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    • pp.1018-1026
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    • 2005
  • The proton exchange membrane (PEM) fuel cell system consisting of stack and balance of plant (BOP) was modeled in a MATLAB/Simulink environment. High-pressure operating (compressor type) and low-pressure operating (air blower type) fuel cell systems were con­sidered. The effects of two main operating parameters (humidity and the pressure of the supplied gas) on the power distribution characteristics of BOP and the net system efficiency of the two systems mentioned above were compared and discussed. The simulation determines an optimum condition regarding parameters such as the cathode air pressure and the relative humidity for maximum net system efficiency for the operating fuel cell systems. This study contributes to get a basic insight into the fuel cell stack and BOP component sizing. Further research using muli­object variable optimization packages and the approach developed by this study can effectively contribute to an operating strategy for the practical use of fuel cell systems for vehicles.

Control Strategy to Reduce Tracking Error by Impulsive Torques at the Joint

  • Yang Chulho
    • International Journal of Precision Engineering and Manufacturing
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    • v.6 no.2
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    • pp.61-71
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    • 2005
  • The study reported deals with investigating the feasibility of control strategy for a serial rigid link manipulator that applies impulsive torques at the joints. The strategy is illustrated for a planar three rigid link manipulator. An impulse-based concept which uses successive torque impulses on rigid link as the controller for motion correction was introduced. This control strategy was tested over the entire trajectory to demonstrate that the tracking error could be reduced effectively. The best condition for minimizing the tracking error with the least impulse input at each joint is investigated by considering one design and one operating parameter. The first was the damping in the system, and the second was the sampling time during operation. The results show that this approach can provide useful guidance for the design and control of robot manipulators that require minimum impulse feedback for accurate tracking.

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

  • Kim, Seung-Tak;Park, Jung-Wook
    • Journal of Electrical Engineering and Technology
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    • v.9 no.4
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    • pp.1182-1187
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    • 2014
  • This paper proposes an energy management strategy and adaptive control for superconducting magnetic energy storage (SMES) in a distribution power system with a grid-connected photovoltaic (PV) farm. Application of the SMES system can decrease the output power fluctuations of PV system effectively. Also, it can control the real and reactive powers corresponding to the scheduled reference values with adequate converter capacity, which are required at a steady-state operating point. Therefore, the adaptive control strategy for SMES plays a key role in improving the system stability when the PV generation causes uncertain variations due to weather conditions. The performance of proposed energy management strategy and control method for the SMES is then evaluated with several case studies based on the PSCAD/EMTDC$^{(R)}$ simulation.

An Adaptive Dead-time Compensation Strategy for a Permanent Magnet Synchronous Motor Drive Using Neural Network

  • Urasaki Naomitsu;Senjyu Tomonobu;Funabashi Toshihisa;Sekine Hideomi
    • Journal of Power Electronics
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    • v.6 no.4
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    • pp.279-289
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    • 2006
  • This paper presents a neural network based adaptive dead-time compensation strategy for an inverter fed permanent magnet synchronous motor drive. The neural network is used for identifying the dead-time compensation time (DTCT) that includes an equivalent dead-time, turn-on/off time and on-state voltage components of the voltage source inverter. In order to train the neural network, desired DTCTs for eight operating points are prepared as training data. The trained neural network can identify a desired DTCT for any operating point because it has the capability of the interpolation. The accuracy of the identified DTCT is experimentally confirmed by comparing the calculated active power with a measured one.

Empirical Approach for Evaluating or Upgrading EOP Strategies Using the Decision theory and Simulator

  • Kim, Sok-Chul;Lee, Duck-Hun;Kim, Hyun-Jang
    • Proceedings of the Korean Nuclear Society Conference
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    • 1998.05a
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    • pp.833-837
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    • 1998
  • This paper presents preliminary findings regarding a modeling framework under development for use in a multi-attribute decision model for advanced emergency operating procedures(EOPs). This model provides a means for optimal decision making strategy for advanced emergency operating procedures conceptualizing the dynamic coordination of responsibilities and information in the human system interactions with advanced reactor systems. For the purpose of evaluation of the applicability of this modeling framework, an empirical case study for a post-cooldown strategy during an steam generator tube rupture (SGTR) accident was carried out. As a result, it was found empirically that the multi-attribute decision model is a useful tool for establishing advanced EOPs that reduce the operator's cognitive and decision making burden during the accident mitigation process.

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Effects of optimal operating conditions on 2-stage injection PCCI diesel engine using Response Surface Methodology (반응 표면법을 이용한 2 단 분사 PCCI 디젤엔진의 운전조건의 영향도 평가에 대한 연구)

  • Lee, Jae-Hyeon;Kim, Hyung-Min;Lee, Ki-Hyung
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.3044-3048
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    • 2008
  • It is well known that Premixed Charge Compression Ignition (PCCI) diesel engines according to many technologies such a change in injection timing, multiple injection strategy, cooled EGR, intake charging and SCV have the potential to achieve homogeneous mixture in the cylinder which result in lower NOx and PM as well as performance improvements. This may generate merely the infinite number of experimental conditions. The use of Response Surface Methodology (RSM) technique can considerably pull down the number of experimental set and time demand. This paper presents the effects of both fuel injection and engine operation conditions on the combustion and emissions in the PCCI diesel engine system. The experimental results have revealed that a change in fuel injection timing and multiple injection strategy along with various operating conditions affect the combustion, emissions and BSFC characteristics in the PCCI engine.

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