962 resultados para Michigan State Prison


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Report year ends June 30.

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Mode of access: Internet.

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Includes regular, special, adjourned and extra sessions

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Issued with the Following Variations In Title: Abstract of the Annual Reports of the County Superintendents of the Poor; Abstract of the Reports of the County Superintendents of the Poor

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Printed Detroit : J.S. Bagg (1836)

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Female imprisonment rates have dramatically increased over the last two decades at state, national and international levels. This paper reviews women's imprisonment in Australia and looks at sentence management and programs, highlighting the critical issues which impact daily on female inmates.

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A number of recent developments in the United State (US), United Kingdom (UK) and Australia suggest that conditions may be ripe for a political shift in the reliance on escalating rates of imprisonment as a default criminal justice strategy for responding to crime. The default position is illustrated by the Yabsleyite response of former New South Wales (NSW) Premier Nathan Rees’s to questioning over the cost of prison building and NSW’s high recidivism rate: ‘[t]he advice to me is we have still got 500 cells empty, I don't mind if we fill them up, and if we fill them up and have to build another jail, we'll build another jail’ (Knox and Tadros 2008)...

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This paper presents a new algorithm based on a Hybrid Particle Swarm Optimization (PSO) and Simulated Annealing (SA) called PSO-SA to estimate harmonic state variables in distribution networks. The proposed algorithm performs estimation for both amplitude and phase of each harmonic currents injection by minimizing the error between the measured values from Phasor Measurement Units (PMUs) and the values computed from the estimated parameters during the estimation process. The proposed algorithm can take into account the uncertainty of the harmonic pseudo measurement and the tolerance in the line impedances of the network as well as uncertainty of the Distributed Generators (DGs) such as Wind Turbines (WT). The main feature of proposed PSO-SA algorithm is to reach quickly around the global optimum by PSO with enabling a mutation function and then to find that optimum by SA searching algorithm. Simulation results on IEEE 34 bus radial and a realistic 70-bus radial test networks are presented to demonstrate the speed and accuracy of proposed Distribution Harmonic State Estimation (DHSE) algorithm is extremely effective and efficient in comparison with the conventional algorithms such as Weight Least Square (WLS), Genetic Algorithm (GA), original PSO and Honey Bees Mating Optimization (HBMO) algorithm.