Abstract In radiation therapy, the beam angles and weightings are usually determined by a treatment planning planner. A uniform dose distribution depends on optimal radiation incident beam angle and individual beam weighting. In this study, simulated annealing with wavelet theory is adopted for solving the optimal beams¡¦ angles and weightings to accomplish a uniform dose distribution inside tumor lesion. Our method can increase the efficiency in solving the optimal angles and weightings in the process of simulated annealing.

Building a rule-based classification system for a training data set is an important research topic in the area of data mining, knowledge discovery and expert systems. Recently, the GA-based fuzzy approach is shown to be an effective way to design an efficient evolutionary fuzzy system. In this thesis a three layers genetic algorithm with Simulated Annealing for selecting a small number of fuzzy if-then rules to building a compact fuzzy classification system will be proposed. The rule selection problem with three objectives: (1) maximize the number of correctly classified patterns, (2) minimize the number of fuzzy if-then rules, and (3) minimize the number of required features. Genetic algorithms are applied to solve this problem. A set of fuzzy if-then rules is coded into a binary string and treated as an in-dividual in genetic algorithms. The fitness of each individual is specified by three ob-jectives in the combinatorial optimization problem. Simulated annealing (SA) is op-tionally cooperated with three layers genetic algorithm to effectively select some layer control genes. The performance of the proposed method for training data and test data is ex-amined by computer simulations on the iris data set and spiral data set, and comparing the performance with the existing approaches. It is shown empirically that the pro-posed method outperforms the existing methods in the design of optimal fuzzy sys-tems.

Thesis (M.S.)--West Virginia University, 2001. / Title from document title page. Document formatted into pages; contains x, 133 p. : ill. Includes abstract. Includes bibliographical references (p. 88-94).

Modern day wireless communication systems are constantly facing increasing bandwidth demands due to a growing consumer base. To cope up with it, they are required to have a better power vs performance from the RF devices. The amount of data being exchanged over wireless links has tremendously increased and simultaneously, there is a need to switch to portable RF devices and this has in turn forced the issue of low-power RF system design. Therefore, what we need is an RF transceiver that operates at high data rates and over adverse channels with a low power consumption. A major portion of the power is utilized by the RF front end of the wireless system. Many methods like controlled positive feedback, re-utilizing bias current, etc have been employed to reduce the power consumption of the RF front end. The most modern wireless systems adapt to the channel quality by adjusting the data transmission rates and by adjusting the output power of the RF Power Amplifier. However, each of these methods concentrates on working for the worst case channel and giving the highest data rate. What needs to be known is that the channel conditions are not always worst. Even for a normal channel, the system is going to utilize a lot of power and give the highest possible data rate which may or may not be necessary. And thus, for the most part, the system is going to use up more power than necessary. What we need instead, is a system which works nominally for a normal channel and exhaustively for a harsh channel condition. This requires the system to adapt to the channel conditions. Also another major factor causing fluctuations in the performance is the process variations. This calls for a channel-dependent dynamic transceiver with adequate power management and tuning. In our work, we try to devise a method to dynamically minimize the power considering the varying channel conditions and process variations. We first use companding to reduce the dynamic range of the signal so that it can be used on facilities with smaller dynamic range. This brings down the transmitted power. We also create multiple instances of the Power Amplifier to simulate process variations. After finding the optimum tuning knob settings for one instance of the PA, we try to use it to obtain the optimum settings for another instance. This requires the use of some heuristics and in our work, we have supplemented it with Simulated Annealing. Using SA, we can dynamically tune the power of a system for changing channel conditions and existing process variations. Towards the end, we have also proved that the slower the cooling rate of the experiment, the more elaborate the search space is and the more accurate the result is.

How do you address the continued prevalence of black women’s sexuality as commodifiable, censured, and coveted in mass culture? Chasing Afrodite offers one answer to this question through examining explicit cinematic performances of black women’s sexuality in mass media. This project deploys Nicole R. Fleetwood’s performative of “excess flesh” within one of the most visceral mediums proffering authentic renderings of black women’s sexuality: film. Through an analysis of two distinct films featuring non-simulated sexual performances by black women—Afrodite Superstar (dir. Abiola Abrams, 2007) and Ashley and Kisha: Finding the Right Fit (dir. Tony Comstock, 2007)—Chasing Afrodite explores the contradictions and contentions that still make public enactments of sex by black bodies so problematic. Though the directors and participants in both films eschew the label of pornography in favor of erotica or other less pejorative terms, their larger reception places them in a precarious place amongst other films with explicit sexual content. The women in these films refuse to unhinge hypersexuality from blackness and refract the dominant gaze by displaying their desires for a viewing audience. In doing so, their labor in these films intervenes in common discussions in black, feminist, and film studies that assume these images are inherently degrading. / text

There are three implemented algorithms in this work: lessons permutation, lessons permutation with simulated annealing adjustment, lessons permutation using Bayesian approach theory to optimize SA parameters algorithms. Algorithms and graphical user interface are programmed with JSP which is based on Java object programming language. To evaluate schedule goodness algorithms are computing every penalty points which are given for some inconvenieces. User is able to define how much penalty points will be given if some inconveniece is satisfied. Also he is able to assign stochastic algorithm parameters. There was accomplished theory, where was observed using of simulated annealing and Bayesian approch methods in other stochastic algorithms and their different combination. There is a description of profiled school schedule optimization algorithm, which is based on SA searching methodology: searching for the optima through lower quality solutions, using temperature function which convergence, difference in quality. Algorythm which is using BA was created in case to improve SA searching methodology. User by changing systems temperature or annealing speed througth parameters can make big influence to SA behaviour. Passing parameters then using algorithm with BA meaner influence is made to behaviour because this method prognosticates, acording to him, better parameters with which SA should work effectively and changing them. Researches with three stochastic algorithms were made... [to full text]

An optimal stochastic multi-crop irrigation scheduling algorithm was developed which was able to incorporate complex farm system models, and constraints on daily and seasonal water use, with the objective of maximising farm profit. This scheduling method included a complex farm simulation model in the objective function, used decision variables to describe general management decisions, and used a custom heuristic method for optimisation. Existing optimal schedulers generally use stochastic dynamic programming which relies on time independence of all parameters except state variables, thereby requiring over-simplistic crop models. An alternative scheduling method was therefore proposed which allows for the inclusion of complex farm system models. Climate stochastic properties are modelled within the objective function through the simulation of several years of historical data. The decoupling of the optimiser from the objective function allows easy interchanging of farm model components. The custom heuristic method, definition of decision variables, and use of the Markov chain equation (relating an irrigation management strategy to mean water use) considerably increases optimisation efficiency. The custom heuristic method used simulated annealing with continuous variables. Two extensions to this method were the efficient incorporation of equality constraints and utilisation of population information. A case study comparison between the simulated annealing scheduler and scheduling using stochastic dynamic programming, using a simplistic crop model, showed that the two methods resulted in similar performance. This demonstrates the ability of the simulated annealing scheduler to produce close to optimal schedules. A second case study demonstrates the ability of the simulated annealing scheduler to incorporate complex farm system models by including the FarmWi$e model by CSIRO in the objective function. This case study indicates that under conditions of limited seasonal water, the simulated annealing scheduler increases pasture yield returns by an average of 10%, compared with scheduling irrigation using best management practice. Alternatively expressed, this corresponds to a 20-25% reduction in seasonal water use (given no change in yield return).

No description available.

Athletes who participate in sports where performance relies on repeated high-intensity efforts could benefit from creatine (Cr) ingestion due to an increased ability to perform and recover from high-intensity exercise bouts either during training or competition. However, few studies exist which have investigated the effects of acute short-term Cr supplementation on appropriately simulated soccer-specific performance.Aims. To determine the reproducibility of a 90 minute soccer-specific performance test and to subsequently examine the effects of acute short-term Cr ingestion (1 week) on soccer-specific physical performance. Study design. Two experimental designs were adopted for this thesis. For study one, a test-retest design was used to determine the reliability and validity of the Ball-sport Endurance And Sprint Test (BEAST). Two trials of the BEAST were performed, separated by five to seven days. For study two, a randomised, triple-blind, placebo-controlled experimental design was adopted to determine the efficacy of acute short-term Cr supplementation (seven days) on soccer-specific performance, using the BEAST protocol.Methods. Twenty male amateur soccer players volunteered to participate in the study. For study one, the test-retest reliability of several soccer-specific performance measures obtained during a modified version of the BEAST was quantified using the standard error of measurement (Van Cutsem, Duchateau, & Hainaut) (or typical error) (Hopkins, 2000), coefficient of variation (CV), and Intraclass Correlation Coefficient (ICC). For study two, the cohort was split and subjects randomly allocated to one of two groups (Cr supplementation and Placebo) on a matched-pair basis. The Cr group (mean age 25.4 ± 4.5 years, mean body-mass 79.3 ± 10.5 kg) ingested 20 g of Cr and 8 g of glucose powder per day for seven days, whereas the placebo (mean age 26.7 ± 4.6 years, mean body-mass 80.8 ± 8.6 kg) group ingested 20 g of corn-flour and 8 g of glucose per day for seven days. The effects of acute short-term Cr supplementation were analysed by repeated measures ANOVA. In addition, effect sizes (ES) were calculated and entered with the associated p-value into Hopkins' spreadsheet for determination of the ES confidence limits (95%) and the chances that the true effect was substantial (i.e. ES ≥ 0.2). Clinical/practical inferences were made accordingly.Results. Study 1: The BEAST protocol had good reliability (high ICC values, relatively low coefficients of variation, low noise to signal ratios) and face validity (HR, VO2, distances covered, duration, and movements performed in the BEAST were all similar to those reported in actual soccer matches). Study 2: Performance of the four major physical measures (12 m sprint, 20 m sprint, circuit time and vertical jump) during the BEAST deteriorated during the second half relative to the first half for both Cr and placebo groups, indicating a fatigue effect associated with the protocol. HR and body-mass values also decreased for both groups during the 90 minute protocol. However, there was no statistically significant differences between the groups for these four measures or for body-mass, HR or VO2max values, suggesting Cr had no substantial effect (relative to placebo) on improving physical performance (or reducing fatigue). When the effects were assessed for the whole 90 minute BEAST protocol, all effects showed a negative trend and, correspondingly, the chances of a detrimental effect were greater than the chances of a beneficial effect.Conclusions: The 90 minute BEAST protocol had good reliability and face validity making it a suitable soccer simulation and performance protocol with which to investigate the effects of Cr supplementation on soccer performance. However, no significant (statistical or clinical) effects of acute short-term Cr supplementation on soccer performance were observed suggesting its potential use as an ergogenic aid for soccer players is questionable.

Thesis (Ph. D.)--University of Canterbury, 2007. / Typescript (photocopy). Accompanied by CD-ROM: Appendix 1: Electronic copy of source code and input data. Includes bibliographical references (leaves 173-179). Also available via the World Wide Web.