• Title/Summary/Keyword: Reduces load

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Effect of viscous Damping on the Stability of Beam Resting on an Elastic Foundation Subjected to Dry friction force (점성감쇠가 건성마찰력을 받는 탄성지지 보의 안정성에 미치는 효과)

  • 장탁순;고준빈;류시웅
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.11
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    • pp.179-185
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    • 2004
  • The effect of viscous damping on stability of beam resting on an elastic foundation subjected to a dry friction force is analytically studied. The beam resting on an elastic foundation subjected to dry friction force is modeled for simplicity into a beam resting on Kelvin-Voigt type foundation subjected to distributed follower load. In particular, the effects of four boundary conditions (clamped-free, clamped-pinned, pinned-pinned, clamped-clamped) on the system stability are considered. The critical value and instability type of columns on the elastic foundation subjected to a distributed follower load is investigated by means of finite element method for four boundary conditions. The elastic foundation modulus, viscous damping coefficient and boundary conditions affect greatly both the instability type and critical load. Also, the increase of damping coefficient raises the critical flutter load (stabilizing effect) but reduces the critical divergence load (destabilizing effect).

이동영역을 틀 영상으로 한 실시간 자동목표 추적

  • 천인서;김남철;장익훈
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 1987.04a
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    • pp.52-55
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    • 1987
  • In tihis paper an improved matching method using subtemplate of moving region and 3-step search algorithm is proposed It reduces heavy computational load of the conventional method. The proposed method is applied to an automatic target tracker using high speed 16 bit microprocessor in order to track one moving target in real time. Expericmental results show that the proposed method has better performance over the conventional methodin spite of greately reducing the computational load, even in came complex background.

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Real-time Automatic Target Tracking Using a Subtemplate of Moving Region (이동영역을 틀 영상으로 한 실시간 자동목표 추적)

  • 천인서;김남철;장익훈
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.4
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    • pp.684-695
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    • 1987
  • In this paper, an improved matching method using subtemplate of moving region and 3-step search algorithm is proposed. It reduces heavy computational load of the conventional method and also can continuously track the target even with occlusion. The proposed method is applied to an automatic target tracker using high speed 16bit microprocessor in order to track one moving target in real time. Experimental results show that the proposed method has better performance over the conventional method in spite of greately reducing the computational load, even in case with complex background and/or with occlusion.

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A HIGH VOLTAGE DC POWER SUPPLY SUITABLE FOR AN ION SOURCE

  • Nho, Eui-Cheol;Kim, In-Dong
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.436-441
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    • 1998
  • This paper proposes an novel dc power supply using modified multilevel ac/dc converter. The output voltage of the power supply can be disconnected from and reapplied to the load rapidly. Therefore the power supply is suitable for a load having frequent short circuit such as ion source. The proposed scheme improves the performance, efficiency, and reliability and reduces the cost of the conventional power supply system for an ion beam acceleration.

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Application of a Parallel Asynchronous Algorithm to Some Grid Problems on Workstation Clusters

  • Park, Pil-Seong
    • Ocean and Polar Research
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    • v.23 no.2
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    • pp.173-179
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    • 2001
  • Parallel supercomputing is now a must for oceanographic numerical modelers. Most of today's parallel numerical schemes use synchronous algorithms, where some processors that have finished their tasks earlier than others must wait at synchronization points for correct computation. Hence, the load balancing is a crucial factor, however, it is, in general, difficult to achieve on heterogeneous workstation clusters. We devise an asynchronous algorithm that reduces the idle times of faster processors, and discuss application of the algorithm to some grid problems and implementation on a workstation cluster using Message Passing Interface (MPI).

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Link Quality Estimation in Static Wireless Networks with High Traffic Load

  • Tran, Anh Tai;Mai, Dinh Duong;Kim, Myung Kyun
    • Journal of Communications and Networks
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    • v.17 no.4
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    • pp.370-383
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    • 2015
  • Effective link quality estimation is a vital issue for reliable routing in wireless networks. This paper studies the performance of expected transmission count (ETX) under different traffic loads. Although ETX shows good performance under light load, its performance gets significantly worse when the traffic load is high. A broadcast packet storm due to new route discoveries severely affects the link ETX values under high traffic load, which makes it difficult to find a good path. This paper presents the design and implementation of a variation of ETX called high load - ETX (HETX), which reduces the impact of route request broadcast packets to link metric values under high load. We also propose a reliable routing protocol using link quality metrics, which is called link quality distance vector (LQDV). We conducted the evaluation of the performance of three metrics - HETX, ETX and minimum hop-count. The simulation results show that HETX improves the average route throughput by up to 25% over ETX under high traffic load. Minimum hop-count has poor performance compared with both HETX and ETX at all of the different traffic loads. Under light load, HETX and ETX show the same performance.

A lateral load pattern based on energy evaluation for eccentrically braced frames

  • Fakhraddini, Ali;Fadaee, Mohammad Javad;Saffari, Hamed
    • Steel and Composite Structures
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    • v.27 no.5
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    • pp.623-632
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    • 2018
  • Performance-Based Plastic Design (PBPD) method has been recently developed to evaluate the behavior of structures in different performance levels. The PBPD method utilizes a base shear force and a lateral load pattern that are estimated based on energy and yielding mechanism concepts. Using of current lateral force pattern results in weak structural members in upper stories of a structure so that the values of the story drift in these stories are larger than the target drift, particularly in high-rise buildings. Therefore, such distribution requires modifications to overcome this drawback. This paper proposes a modified lateral load pattern for steel Eccentrically Braced Frames (EBFs) based on parametric study. In order to achieve the modified load pattern, a group of 26 EBFs has been analyzed under a set of 20 earthquake ground motions. Additionally, results of nonlinear dynamic analyses of EBFs have been post-processed by nonlinear regression analysis in order to derive the new load pattern. To prove the efficiency of present study, three EBFs as examples were designed by modified pattern and current PBPD distribution. Inelastic dynamic analyses results showed that the story drifts using modified lateral load pattern were well within the target values in comparison with current pattern in PBPD, particularly where the effect of the height is significant. The modified load pattern reduces the possibility of underdesigning in upper levels and overdesigning in lower levels of the frames.

A Study on Simultaneous Load Factor of Intelligent Electric Power Reduction System in Korea (한국의 지능형 전력동시부하율 저감시스템에 관한 연구)

  • Kim, Tae-Sung;Lee, Jong-Hwan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.1
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    • pp.24-31
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    • 2012
  • This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user's interface for a certain period of time. This is about smart grid, which reduces electric power load through simultaneous load factor of electric power reduction system supervision agent. Also, this study has the following characteristics. First, it is the user interface which enables authorized users to enter and send/receive such data as demand plan and using schedule for a certain period of time. Second, it is the database server, which collects, classifies, analyzes, saves and manages demand forecast data for a certain period of time. Third, is the simultaneous load factor of electric power control agent, which controls usage of electric power by getting control signal, which is intended to reduce the simultaneous load factor of electric power by the use of the time sharing control system, form the user interface, which also integrate and compare the data which were gained from the interface and the demand forecast data of the certain period of time.

Improved Selective Randomized Load Balancing in Mesh Networks

  • Zhang, Xiaoning;Li, Lemin;Wang, Sheng;Yang, Fei
    • ETRI Journal
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    • v.29 no.2
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    • pp.255-257
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    • 2007
  • We propose an improved selective randomized load balancing (ISRLB) robust scheme under the hose uncertainty model for a special double-hop routing network architecture. The ISRLB architecture maintains the resilience properties of Valiant's load balancing and reduces the network cost/propagation delay in all other robust routing schemes.

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Use of High-performance Graphics Processing Units for Power System Demand Forecasting

  • He, Ting;Meng, Ke;Dong, Zhao-Yang;Oh, Yong-Taek;Xu, Yan
    • Journal of Electrical Engineering and Technology
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    • v.5 no.3
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    • pp.363-370
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    • 2010
  • Load forecasting has always been essential to the operation and planning of power systems in deregulated electricity markets. Various methods have been proposed for load forecasting, and the neural network is one of the most widely accepted and used techniques. However, to obtain more accurate results, more information is needed as input variables, resulting in huge computational costs in the learning process. In this paper, to reduce training time in multi-layer perceptron-based short-term load forecasting, a graphics processing unit (GPU)-based computing method is introduced. The proposed approach is tested using the Korea electricity market historical demand data set. Results show that GPU-based computing greatly reduces computational costs.