• Title/Summary/Keyword: budget estimate

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Static Worst-Case Energy and Lifetime Estimation of Wireless Sensor Networks

  • Liu, Yu;Zhang, Wei;Akkaya, Kemal
    • Journal of Computing Science and Engineering
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    • v.4 no.2
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    • pp.128-152
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    • 2010
  • With the advance of computer and communication technologies, wireless sensor networks (WSNs) are increasingly used in many aspects of our daily life. However, since the battery lifetime of WSN nodes is restricted, the WSN lifetime is also limited. Therefore, it is crucial to determine this limited lifetime in advance for preventing service interruptions in critical applications. This paper proposes a feasible static analysis approach to estimating the worstcase lifetime of a WSN. Assuming known routes with a given sensor network topology and SMAC as the underlying MAC protocol, we statically estimate the lifetime of each sensor node with a fixed initial energy budget. These estimations are then compared with the results obtained through simulation which run with the same energy budget on each node. Experimental results of our research on TinyOS applications indicate that our approach can safely and accurately estimate worst-case lifetime of the WSN. To the best of our knowledge, our work is the first one to estimate the worst-case lifetime of WSNs through a static analysis method.

A Study on the Model of Artificial Neural Network for Construction Cost Estimation of Educational Facilities at Conceptual Stage (교육시설의 개념단계 공사비예측을 위한 인공신경망모델 개발에 관한 연구)

  • Son, Jae-Ho;Kim, Chung-Yung
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.4 s.32
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    • pp.91-99
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    • 2006
  • The purpose of this study is propose an Artificial Neural Network(ANN) model for the construction estimate of the public educational facility at conceptual stage. The current method for the preliminary cost estimate of the public educational facility uses a single-parameter which is based on basic criteria such as a gross floor area. However, its accuracy is low due to the nature of the method. When the difference between the conceptual estimate and detailed estimate is huge, the project has to be modified to meet the established budget. Thus, the ANN model is developed by using multi-parameters in order to estimate the project budget cost more accurately. The result of the research shows 6.82% of the testing error rates when the developed model was tested. The error rates and the error range of the developed model are smaller than those of the general preliminary estimating model at conceptual stage. Since the proposed ANN model was trained using the detailed estimate information of the past 5 years' school construction data, it is expected to forecast the school project cost accurately.

A Study on the Variations of Stability and Heat Budget in the Planetary Boundary Layer at Kimhae (김해지방의 지표경계층내의 열수지 및 안정도 변화에 관한 연구)

  • 박종길;이화운;김유근;이순환
    • Journal of Korean Society for Atmospheric Environment
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    • v.13 no.2
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    • pp.103-113
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    • 1997
  • The research described in this paper was conducted to estimate the stability and heat budget in planetary boundary layer (PBL) at Kimhae. The upper air observation was carried out during period from 3 Februsry 1993 to 5 February 1993 at Kimhae. The surface observation data used the one during period from 1 April 1994 to 31 March 1995. The maximum height of inversion layer observed at Kimhae was 310 m. Destruction of the inversion was simultaneously occurred at the surface and the mid-layer (200 $\sim$ 300 m), however the origin of destruction is different each other. The surface inversion is destructed by surface heating owing to growing radiation in surface but disappearance of the mid-layer inversion is related to the upper cold air movement.

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Estimation of the Heat Budget Parameter in the Atmospheric Boundary Layer considering the Characteristics of Soil Surface (지표면의 특성을 고려한 대기경계층내의 열수지 parameter 추정 -열수지 parameter를 이용한 중규모 순환의 수치예측-)

  • 이화운;정유근
    • Journal of Environmental Science International
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    • v.5 no.6
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    • pp.727-738
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    • 1996
  • An one dimensional atmosphere-canopy-soil interaction model is developed to estimate of the heat budget parameter in the atmospheric boundary layer. The canopy model is composed of the three balance equations of energy, temperature, moisture at ground surface and canopy layer with three independent variables of Tf(foliage temperature), Tg(ground temperature), and qg(ground specific humidity). The model was verilied by comparative study with OSUID(Oregon State University One Dimensional Model) proved in HAPEX-MOBILHY experiment. Also we applied this model in two dimensional land-sea breeze circulation. According to the results of this study, surface characteristics considering canopy acted importantly upon the simulation of meso-scale circulation. The factors which used in the numerical experiment are as follows ; the change for a sort of soil(sand and peat), the change for shielding factor, and the change for a kind of vegetation.

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Project Management Information System Using Work Breakdown Structure (업무분할체계를 이용한 사업관리정보시스템)

  • 이정구
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1997.11a
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    • pp.303-320
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    • 1997
  • In A institute, project managers present quarterly project performance report according to institute's law. In quarterly project performance report, progress of project performance and budget expended should be written. Progress of project performance and progress of budget expended are key management factors in A institute. Because financial database system Is already constructed, progress of budget expended is got from information system. But the progress of project performance that project manager estimate subjectively can not be judged of its correctness because there is not project management information system that is able to calculate the progress of project performance systematically. In this study, we present the project management system assign all activities to every project participator according to their work share rate using WBS(Work Breakdown Structure) and calculate the progress of project performance systematically Also we construct project management information system for above project management system implementing.

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Analysis of Wave Data and Estimation of Littoral Drifts for the Eastern Coast of Korea (한국동해안의 파랑 자료 분석 및 표사량 추정)

  • 김아리;이정열;최병호
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.13 no.1
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    • pp.18-34
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    • 2001
  • Statistical analysis oflong-tenn wave data resulted from HYPA(HYbrid PArametric wave model) for the eastern coast of Korea was performed. Subsequently a simple approach for predicting the global annual and seasonal littoral drifts has been derived to estimate littoral sediment budget.

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MONTE CARLO ANALYSIS FOR STATION ACQUISITION ERROR CORRECTION OF SATELLITE (인공위성의 위치획득 오차보정을 위한 몬테카를로 분석)

  • 김지영;최규홍
    • Journal of Astronomy and Space Sciences
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    • v.12 no.2
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    • pp.265-274
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    • 1995
  • The purpose of perigee kick motor firing is to place a satellite into transfer orbit and that of apogee kick motor firing is to place the satellite into geosynchonous orbit in order to increase the semi-major axis of the transfer orbit and reduce the inclination of the transfer orbit. Because apogee motor firing is always accompanied with injection errors, the satellite is not placed into geosynchonous orbit but into a near-geosynchonous orbit, also knows as a drift orbit. Thus, the orbital maneuver to correct drift orbit into gteosynchonous orbit is required, this maneuver is called the station acquisition. For reduction of expenditure and performance of mission, we estimate $\Delta$V budget and required fuel allowance for station acquisition. As the uncertainty of drift orbit by injection error of perigee and apogee kick motor firing prevents us from obtaining exact $\Delta$V budget, statistical Monte Carlo simulation technique is used in order to get optimal $\Delta$V budget and required fuel allowance with a probability of 99%. With respect to Korea satellite launched by Delta-2 launch vehicle in 1995, Monte Carlo analysis is used in order to get various orbital parameters, $\Delta$V budget and required fuel allowance for station acquisition with a probability of 99%.

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The Importance of Nitrogen Release and Denitrification in Sediment to the Nitrogen Budget in Hiroshima Bay

  • KIM Do-Hee;MATSUDA Osamu
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.29 no.6
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    • pp.779-786
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    • 1996
  • The main purpose of this study was to estimate the role of dissolved inorganic nitrogen (DIN) released from sediment and denitrification process in sediment on the nitrogen budget of Hiroshima Bay by means of collecting data on distributions and budgets of nitrogen and phosphorus in the bay, DIN fluxes across sediment-water interface and denitrification rates in the sediments of the same area. The TN : TP and DIN:DIP atomic ratios of the discharged freshwater were about 26 and 21, respectively. The standing stocks in the seawater of the TN : TP atomic ratio varied from 8 to 14 with an annual mean value of 11, while the DIN : DIP atomic ratio varied from 10 to 15 with an annual mean value of 12 in the bay. The residence time of nitrogen and phosphorus were estimated to be about 109 days and 200 days in the bay, respectively. The proportion of DIN released from sediment and denitrification rate to the loading of total nitrogen into Hiroshima Bay were $45\%\;(37\~82\%)\;and\;13\%(0.0\~37\%)$, respectively, and the amount of nitrogen through denitrification process was 6.5 times larger than the outflow of nitrogen from the bay. The results show that DIN released from sediment and denitrification process in sediment play important roles on the nitrogen budget in Hiroshima Bay.

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A Study on the IT Project Selection Considering Budget Constraints (예산제약을 고려한 IT프로젝트 선정 모델 연구)

  • Park, Jaehee;Cho, Nam-Wook;Kim, Wooje
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.327-338
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    • 2013
  • Effective and efficient selection of IT projects is crucial for company's competitiveness. The selection of IT projects usually involves consideration of budget constraints but existing IT project selection models often neglect budget constraints. This paper presents an IT project selection model which considers budget constraints. AHP(Analytic Hierarchy Process) and Knapsack problem model have been combined to develop the proposed model, AHP-K model, where AHP is used to estimate weights of selection criteria and, then, a knapsack problem model is utilized to optimize selection of IT project while meeting the budget constraints. In this paper, a case study is provided to validate the effectiveness of the proposed AHP-K model. It has been shown that the proposed AHP-K model is better than the AHP model in terms of total utility of projects and investment efficiency.

Allocating the Budget of Port Incentives for Customers (항만 인센티브 예산의 합리적 배분방법)

  • Park, Byung-In
    • Journal of Korea Port Economic Association
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    • v.32 no.3
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    • pp.139-154
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    • 2016
  • The port incentive scheme currently implemented in various Korean ports is used as a marketing tool to increase price competitiveness. Typically, ports implement piecemeal imitation strategies to enhance their competitiveness, rather than a precisely designed system. A precise analysis of the effectiveness of a port's system and scheme redesign are lacking because budget allocation is done without input from customers and freight groups. This study models the incentives faced by ports using a linear programming model. We use the Gwangyang port as the base case. Our analysis of the Gwangyang port reveals that there are insufficient incentives implemented when a traditional qualitative analysis is used. We also identify any excess, deficiency, or absence of the incentive effect for each type of customer and freight group. We find the overall budget of the incentive scheme to be more rational when ports allocate funds to minimize port mileage, and allocate 61.77 percent and 38.23 percent of the budget on existing and new (or increased) cargo inventory, respectively. Future studies can build on our work by further considering basic inputs, and by adding a system to estimate the input data of our model to identify constraints and thus provide a more accurate incentive scheme.