prediction of hydrological variables is a highly effective tool in water resource management. One of the important tools for modeling hydrological processes is the use of time series modeling and analysis. River series production series can be used by time series models in various studies such as drought, flood, reservoir systems design and many other purposes For this purpose, monthly flow dat...

We develop an inventory model to determine optimal ordering policy under permissible delay in payment by considering demand rate to be stock dependent. Mathematical models are derived under two different cases: credit period being greater than or equal to cycle time for settling the account, and credit period being less than or equal to cycle time for settling the account. The results are illus...

This paper uses half-hourly electricity demand data in South Australia as an empirical study of nonparametric modeling and forecasting methods for prediction from half-hour ahead to one year ahead. A notable feature of the univariate time series of electricity demand is the presence of both intraweek and intraday seasonalities. An intraday seasonal cycle is apparent from the similarity of the d...

in this paper, the effects of input temperature and compression ratio on the net output work and efficiency of the air standard cycles, i.e. atkinson cycle, diesel cycle and otto cycle are analyzed. we assumed that the compression and power processes are adiabatic and reversible and any convective, conductive and radiative heat transfer to cylinder wall during the heat rejection process may be ...

The success of conception in buffalo is greatly dependent on precise estrus detection and time of artificial insemination (AI). Various visual, behavioral, biochemical and gyneco-clinical parameters have been tracked closely and a cost-effective combinatorial model has been developed to detect estrus in buffaloes. Pheromones play pivotal roles in reproduction and behavior of mammals. Urine, an ...

We study two issues which could affect the performance of value prediction on wide-issue ILP processors. One is the large number of accesses to the value prediction tables needed in each machine cycle, and the other is the delay required to update stale values in the value prediction tables. We introduce a prediction value cache (PVC) which augments the instruction cache to hold the prediction ...

background: infertile couples are faced with problems that affect their marital life. infertility treatment is expensive and time consuming and occasionally isn’t simply possible. prediction models for infertility treatment have been proposed and prediction of treatment success is a new field in infertility treatment. because prediction of treatment success is a new need for infertile couples, ...

In this paper, we propose a new method for accurate detection, estimation and tracking of formants in speech signals using time-varying quasi-closed phase analysis (TVQCP). The proposed method combines two different methods of analysis namely, the time-varying linear prediction (TVLP) and quasiclosed phase (QCP) analysis. TVLP helps in better tracking of formant frequencies by imposing a time-c...

short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. the strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. this paper establishes the applicatio...