• 제목/요약/키워드: Cost Prediction

Search Result 1,038, Processing Time 0.03 seconds

Dynamic Load Balancing Algorithm using Execution Time Prediction on Cluster Systems

  • Yoon, Wan-Oh;Jung, Jin-Ha;Park, Sang-Bang
    • Proceedings of the IEEK Conference
    • /
    • 2002.07a
    • /
    • pp.176-179
    • /
    • 2002
  • In recent years, an increasing amount of computer network research has focused on the problem of cluster system in order to achieve higher performance and lower cost. The load unbalance is the major defect that reduces performance of a cluster system that uses parallel program in a form of SPMD (Single Program Multiple Data). Also, the load unbalance is a problem of MPP (Massive Parallel Processors), and distributed system. The cluster system is a loosely-coupled distributed system, therefore, it has higher communication overhead than MPP. Dynamic load balancing can solve the load unbalance problem of cluster system and reduce its communication cost. The cluster systems considered in this paper consist of P heterogeneous nodes connected by a switch-based network. The master node can predict the average execution time of tasks for each slave node based on the information from the corresponding slave node. Then, the master node redistributes remaining tasks to each node considering the predicted execution time and the communication overhead for task migration. The proposed dynamic load balancing uses execution time prediction to optimize the task redistribution. The various performance factors such as node number, task number, and communication cost are considered to improve the performance of cluster system. From the simulation results, we verified the effectiveness of the proposed dynamic load balancing algorithm.

  • PDF

The Prediction of Total Revenue of V2G System Considering Battery Wear Cost (배터리 열화비용을 고려한 V2G 시스템의 수익예측)

  • Won, Il-Kuen;Kim, Do-Yun;Ko, An-Yeol;Shin, Chang-Hyun;Hwang, Jun-Ha;Kim, Young-Real;Won, Chung-Yuen
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.29 no.4
    • /
    • pp.85-94
    • /
    • 2015
  • Recently, research on the smart grid that combines ICT(Information & Communication technology) to the power system has been actively progressed. If the occupancy of the EV(Electric vehicle) is increased. the V2G(Vehicle to grid) system is available which constitutes the micro-grid through battery of EV. V2G system performs load leveling and efficient energy consumption by battery operation considering load condition. But, if the battery is used only depending on the electricity rates, it doses not consider the life of the battery. The ACC(Achievable cycle) and the total transferable energy of battery varies corresponding to the selected DOD(Depth of discharge). In this paper, the optimal DOD selection method of V2G system considering battery wear cost and average driving distance of EV. Also, the total revenue prediction of various nation is presented considering the actual electricity costs per hour.

Improvement of the Stratospheric Wind Analysis with the Climatological Constraint in the Global Three-Dimensional Variational Assimilation at Korea Meteorological Administration (3차원 변분법의 제한조건 적용을 통한 기상청 전지구 모델의 성층권 바람장 개선)

  • Joo, Sangwon;Lee, Woo-Jin
    • Atmosphere
    • /
    • v.17 no.1
    • /
    • pp.1-15
    • /
    • 2007
  • A constraint based on climatology is introduced to the cost function of the three-dimensional variational assimilation (3dVar) to correct the error of the zonal mean wind structure in the global data assimilation system at Korea Meteorological Administration (KMA). The revised cost function compels the analysis fit to the chosen climatology while keeping the balance between the variables in the course of analysis. The constraint varies selectively with the vertical level and the horizontal scale of the motion. The zonally averaged wind field from European Centre for Medium-Range Weather Forecasts Re-Analysis 40 (ERA-40) is used as a climatology field in the constraint. The constraint controls only the zonally averaged stratospheric long waves with total wave number less than 20 to fix the error of the large scale wind field in the stratosphere. The constrained 3dVar successfully suppresses the erroneous westerly in the stratospheric analysis promptly, and has been applied on the operational global 3dVar system at KMA.

Evaluation of a Traffic Lane Closure and Pavement Repair for a Certain Period (Focusing on the Gimcheon~Sunsan Project) (1차로 전면차단 후 도로포장 보수방법의 효과분석 (김천~선산 사례중심))

  • Ryu, Sung Woo;Park, Kwon-Je;Han, SeungHwan;Choi, InGu;Cho, Yoon-Ho
    • International Journal of Highway Engineering
    • /
    • v.18 no.3
    • /
    • pp.11-19
    • /
    • 2016
  • PURPOSES : This study supports the evidence that it is possible to rehabilitate a damaged pavement with a lane closure specifically based on the Gimcheon~Sunsan project. METHODS : The prediction results from the simulation programs were compared with field monitoring, which focused on traffic management planning, congestion (length, time, and passing speed), bypass, and user cost, among others. RESULTS : The research results showed that lane closure application and pavement repair of the aged pavement in Korea were possible, even though the prediction results were minimally different from the field monitoring. The road agency contributes to service life extension of the rehabilitated pavement using this method. CONCLUSIONS : A marginal effect caused by the lane closure was observed on travelling users or vehicles, and the user cost of pavement repair decreased. Therefore, introducing the repair method or rehabilitation in Korea is possible. Information dissemination through various media was properly done to execute the project well. Moreover, the construction area traffic utilized nearby alternative roads. Therefore, improving the repaired pavemen's service life while ensuring that the pavement management agency can provide a road with comfortable user riding quality was possible.

A design of High-Profile IP for H.264 (H.264 High-Profile Intra Prediction 설계)

  • Lee, Hye-Yoon;Lee, Young-Ju;Kim, Ho-Eui;Suh, Ki-Bum
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2008.10a
    • /
    • pp.112-115
    • /
    • 2008
  • In this paper, we propose H.264 High Profile Encoder Intra Prediction module. This designed module can be operated in 306 cycle for one-macroblock. To verify the Encoder architecture, we developed the reference C from JM 13.2 and verified the our developed hardware using test vector generated by reference C. We adopt plan removal and SAD calculation to reduce the Hardware cost and cycle. The designed circuit can be operated in 133MHz clock system, and has 250K gate counts using TSMC 0.18um process including SRAM memory.

  • PDF

A Robust Wearable u-Healthcare Platform in Wireless Sensor Network

  • Lee, Seung-Chul;Chung, Wan-Young
    • Journal of Communications and Networks
    • /
    • v.16 no.4
    • /
    • pp.465-474
    • /
    • 2014
  • Wireless sensor network (WSN) is considered to be one of the most important research fields for ubiquitous healthcare (u-healthcare) applications. Healthcare systems combined with WSNs have only been introduced by several pioneering researchers. However, most researchers collect physiological data from medical nodes located at static locations and transmit them within a limited communication range between a base station and the medical nodes. In these healthcare systems, the network link can be easily broken owing to the movement of the object nodes. To overcome this issue, in this study, the fast link exchange minimum cost forwarding (FLE-MCF) routing protocol is proposed. This protocol allows real-time multi-hop communication in a healthcare system based on WSN. The protocol is designed for a multi-hop sensor network to rapidly restore the network link when it is broken. The performance of the proposed FLE-MCF protocol is compared with that of a modified minimum cost forwarding (MMCF) protocol. The FLE-MCF protocol shows a good packet delivery rate from/to a fast moving object in a WSN. The designed wearable platform utilizes an adaptive linear prediction filter to reduce the motion artifacts in the original electrocardiogram (ECG) signal. Two filter algorithms used for baseline drift removal are evaluated to check whether real-time execution is possible on our wearable platform. The experiment results shows that the ECG signal filtered by adaptive linear prediction filter recovers from the distorted ECG signal efficiently.

A Development for Construction Cost Prediction Model of Site Development Project (단지공사의 공사비 예측모형 개발 - 토공사를 중심으로 -)

  • Lee Won-Yong;Lee Tai-Sik;Park Jong-Hyun;Bae Keon
    • Proceedings of the Korean Institute Of Construction Engineering and Management
    • /
    • autumn
    • /
    • pp.419-422
    • /
    • 2002
  • The features of modem construction industry can be summarized as specialization, complexity, and large-scale. Therefore, increasing uncertainty of construction project can not be effectively dealt with traditional method used for construction cost management. Cost overrun affects on successful execution of managing construction project in a negative way. Therefore, accurate estimation is a priori for effective cost management. First, this work analyzes the previous cost estimation model for the effective cost management. Then, a standard structure required for developing the cost estimation model for site development was presented. In addition, the cost estimation model which can be used in planning and design phases was introduced by analyzing real site development projects.

  • PDF

Finding Significant Factors to Affect Cost Contingency on Construction Projects Using ANOVA Statistical Method -Focused on Transportation Construction Projects in the US-

  • Lhee, Sang Choon
    • Architectural research
    • /
    • v.16 no.2
    • /
    • pp.75-80
    • /
    • 2014
  • Risks, uncertainties, and associated cost overruns are critical problems for construction projects. Cost contingency is an important funding source for these unforeseen events and is included in the base estimate to help perform financially successful projects. In order to predict more accurate contingency, many empirical models using regression analysis and artificial neural network method have been proposed and showed its viability to minimize prediction errors. However, categorical factors on contingency cannot have been treated and thus considered in these empirical models since those models are able to treat only numerical factors. This paper identified potential factors on contingency in transportation construction projects and evaluated categorical factors using the one-way ANOVA statistical method. Among factors including project work type, delivery method type, contract agreement type, bid award type, letting type, and geographical location, two factors of project work type and contract agreement type were found to be statistically important on allocating cost contingency.

A Study on Sensitivity Analysis of Life-Cycle Cost of Concrete Bridges (콘크리트 교량의 생애주기비용 민감도 분석)

  • Koo, Bon-Min;Byun, Kuen-Joo;Song, Ha-Won
    • Proceedings of the Korea Concrete Institute Conference
    • /
    • 2004.11a
    • /
    • pp.773-776
    • /
    • 2004
  • The so-called Life Cycle Cost (LCC) analysis on reinforced concrete bridge can provide useful information for initial design and maintenance plan of the RC bridge. This paper proposes an LCC prediction equation and a sensitivity analysis method for RC bridges. An LCC equation for the RC bridge which includes initial investment cost, maintenance cost, and demolition cost was derived and verified from the data for design and construction of an RC slab bridge. In order to solve uncertainty problem on actual discount rate and material characteristics in the analysis of LCC of concrete bridges, a sensitivity analysis method on the LCC using the Monte Carlo simulation technique was suggested.

  • PDF