Identifying suitable models for estimating soil erosion is one of the most importantissues facing decision makers and managers in comprehensive planning and management ofsoil and water. In this research, with the purpose of estimating soil erosion in LorestanProvince, the conventional SLEMSA method was jointly used with OWA (orderedweighted avera...

Concurrent engineering environments affect the cost estimating and engineering capability of an organisation. Cost estimating tools become outdated and need changing in order to reflect the new environment. This is essential, since cost estimating is the start of the cost management process and influences the ‘go’, ‘no go’ decisions concerning a new product development. This paper examines both...

This paper revisits the problem of estimating ex ante cost functions previously studied by Pope and Just (1996) and Moschini (2001). An ex ante cost function that generalizes their ex ante cost functions is introduced, and an econometric procedure for estimating a flexible approximation to it is developed. That generalized cost function is economically relevant not only for the Just and Pope (1...

CAPM is often the method of choice among practioners for estimating the cost of equity for investment projects in developed economies. But for investment projects in emerging economies, CAPM tends to give estimates that are considered too low by experienced financial managers. Sometimes, CAPM estimates of the cost of equity for projects in emerging markets are even lower than those for comparab...

We describe a Krylov-subspace method for estimating the spectral condition number of a real matrix A or indicating that it is numerically rank deficient. The main difficulty in estimating the condition number is the estimation of the smallest singular value σmin of A. Our method estimates this value by solving a consistent linear least-squares problem with a known solution using a specific Kryl...

This article presents a novel cost function for estimating the parameters of the Gaussian plume model using simulated annealing. The novel cost function takes into account the meandering and intermittency phenomena found on dispersing plumes. The proposed method was validated using real gas sensor data sampled by a swarm of 5 robots performing the Decentralized Asynchronous Particle Swarm Optim...

The talk will present a reliable Krylov-subspace method for estimating the spectral condition number of a matrix A. The main difficulty in estimating the condition number is the estimation of the smallest singular value  min of A. Our method estimates this value by solving a consistent least-squares minimization problem with a known minimizer using a specific Krylov-subspace method called LSQR...

In order to improve a parallel program's performance it is critical to evaluate how even the work contained in a program is distributed over all processors dedicated to the computation. Traditional work distribution analysis is commonly performed at the machine level. The disadvantage of this method is that it cannot identify whether the processors are performing useful or redundant (replicated...

Satellite constellations present unique capabilities and opportunities to Earth orbiting and near-Earth scientific and communications missions, but also present new challenges to cost estimators. An effective and adaptive cost model is essential to successful mission design and implementation, and as Distributed Spacecraft Missions (DSM) become more common, cost estimating tools must become mor...

This paper proposes a methodology, Systems Cost Modeling (SCM), to evaluate the cost of complex systems with a large number of individual components and subsystems. Simple characteristics associated with each component are used as inputs to parametric estimates of fixed and variable costs, as well as process use time of relevant resources. These estimates are then used to calculate individual c...