1,094 research outputs found
Optimal control of a large dam
A large dam model is an object of study of this paper. The parameters
and are its lower and upper levels,
is large, and if a current level of water is between
these bounds, then the dam is assumed to be in normal state. Passage one or
other bound leads to damage. Let denote the damage cost of
crossing the lower (upper) level. It is assumed that input stream of water is
described by a Poisson process, while the output stream is state-dependent (the
exact formulation of the problem is given in the paper). Let denote the
dam level at time , and let , exist. The
long-run average cost is a performance measure. The aim of
the paper is to choose the parameter of output stream (exactly specified in the
paper) minimizing .Comment: To appear in "Journal of Applied Probability" 44 (2007), No.
Intelligent Behavior of Autonomous Vehicles in Outdoor Environment
The objective of this PhD-project has been to develop and enhance the operational behaviour of autonomous or automated conventional machines under out-door conditions. This has included developing high-level planning measures for the maximisation of machine productivity as an important element in the continued efforts of planning and controlling resource inputs in both arable and high value crops farming. The methods developed generate the optimized coverage path for any field regardless of its complexity on 2D or 3D terrains without any human intervention and in a manner that minimizes operational time, skipped and overlapped areas, and fuel consumption. By applying the developed approaches, a reduction of more than 20% in consumed fossil fuel together with a corresponding reduction in the emissions of CO2 and other greenhouses is achievable.In this work, a software package for the autonomous navigation of field robotics over 2D and 3D field terrains and the optimization of field operations and machinery systems have been developed. A web-based version of the developed software package is currently under progress
Design of Adiabatic MTJ-CMOS Hybrid Circuits
Low-power designs are a necessity with the increasing demand of portable
devices which are battery operated. In many of such devices the operational
speed is not as important as battery life. Logic-in-memory structures using
nano-devices and adiabatic designs are two methods to reduce the static and
dynamic power consumption respectively. Magnetic tunnel junction (MTJ) is an
emerging technology which has many advantages when used in logic-in-memory
structures in conjunction with CMOS. In this paper, we introduce a novel
adiabatic hybrid MTJ/CMOS structure which is used to design AND/NAND, XOR/XNOR
and 1-bit full adder circuits. We simulate the designs using HSPICE with 32nm
CMOS technology and compared it with a non-adiabatic hybrid MTJ/CMOS circuits.
The proposed adiabatic MTJ/CMOS full adder design has more than 7 times lower
power consumtion compared to the previous MTJ/CMOS full adder
THE IMPACT OF PETROLEUM PRICES ON VEGETABLE OILS PRICES: EVIDENCE FROM COINTEGRATION TESTS
This paper investigate the long-term relationship between the petroleum and vegetable oils prices represented by palm, soybean, sunflower and rapeseed oils prices. To that end, the bivariate cointegration approach using Engle-Granger two-stage estimation procedure is applied. The study utilises monthly data over the period of January 1983 through March 2008. The results provide a strong evidence of long-run equilibrium relation between the two products prices. The estimates of the error correction models reveal a unidirectional long-run causality flowing from petroleum to each of the vegetable oils prices under study.Vegetable oils prices, petroleum prices, cointegration, causality tests, Agribusiness, Demand and Price Analysis, Marketing, Q11 Agricultural Prices,
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