A teoria de sistemas semidinâmicos impulsivos é utilizada no estudo de sistemas que descrevem processos de evolução que sofrem variações de estado de curta duração e que podem ser consideradas instantâneas. Este fenômeno é chamado de impulso. Para muitos fenômenos naturais, os modelos determinísticos mais realistas são frequentemente descritos por sistemas que envolvem impulsos. Este trabalho se insere no estudo da teoria de estabilidade em sistemas semidinâmicos com ação impulsiva. / The theory of impulsive semidynamical systems is used in the analysis of systems which describe the evolution of process whose continuous dynamics are interrupted by abrupt changes of state. This phenomenon is called impulse. In many natural phenomena, the real deterministic models are often described by systems which involve impulses. In this work, we study the stability theory in impulsive semidynamical systems.

This thesis addresses some problems that arise in signal processing when the noise is impulsive and follows a heavy tailed distribution. After reviewing several of the more well known heavy- tailed distributions the common problem of which of these hest models the observations is considered. To this end, a test is proposed for the symmetric alpha stable distribution. The test threshold is found using both asymptotic theory and parametric bootstrap resampling. In doing so, some modifications are proposed for Koutrouvelis' estimator of the symmetric alpha stable distributions parameters that improve performance. In electrical systems impulsive noise is generated externally to the receiver while thermal Gaussian noise is generated internally by the receiver electronics, the resultant noise is an additive combination of these two independent sources. A characteristic function domain estimator for the parameters of the resultant distribution is developed for the case when the impulsive noise is modeled by a symmetric alpha stable distribution. Having concentrated on validation and parameter estimation for the noise model, some problems in signal detection and estimation are considered. Detection of the number of sources impinging on an array is an important first. step in many array processing problems for which the development of optimal methods can be complicated even in the Gaussian case. Here, a multiple hypothesis test for the equality of the eigenvalues of the sample array covariance is proposed. / The nonparametric bootstrap is used to estimate the distributions of the test statistics removing the assumption of Gaussianity and offering improved performance for heavy tailed observations. Finally, some robust estimators are proposed for estimating parametric signals in additive noise. These are based on M-estimators but implicitly incorporate an estimate of the noise distribution. enabling the estimator to adapt to the unknown noise distribution. Two estimators are developed, one uses a nonparametric kernel density estimator while the other models the score function of the noise distribution with a linear combination of basis functions.

Skincare products were deemed as socially undesirable for men in the past days. Images of men were expected to be tough, independent, hard-boiled, whereas skincare products were too feminine for men. However, due to the metro-sexual fashion trend which advocating men to dress up themselves, men nowadays are starting to care about their outfits, appearances and facial skin condition to which women are paying attention. The market of skincare products for men in Taiwan now is rapidly growing and do not confine to only a small amount of men users. It is a widely received conscious that men need skincare products. Hence, from only a few early adopters to wide spread adopters in men population as whole, the purpose of this study is to investigate the correlations between demographic, media usages, personal characteristics, impulsive consumption behaviors and adopting stages. By using survey method, this study wants to explore whether there are any significance in demographic, media usages, personal characteristics affecting men to adopt skincare products. However, Diffusion of Innovation theory is under the premise of social learning theory, which presupposes that it is a rational decision making process for consumer when adopting innovation. The presupposition as such disregards the possibility of impulsive consumption. In addition to demographic, media usages, personal characteristics, this study takes impulsive consumption into consider as a independent variable affecting adoption. The study results is that when compared with no taking impulsive consumption into consideration, there are significances in demographic, media usages, personal characteristics affecting men to adopt skincare products after controlling impulsive consumption as a independent variable. The study results show that impulsive consumption is an indispensable variable when researching diffusion of innovations.

Power line communications (PLC) surfers performance degradation due mainly to impulsive noise interference generated by electrical appliances. This thesis studies coded modulation techniques to improve the spectral efficiency and error performance of PLC. Considered in the first part is the application of bit-interleaved coded modulation with iterative decoding (BICM-ID) in class-A impulsive noise environment. In particular, the optimal soft-output demodulator and its suboptimal version are presented for an additive class-A noise (AWAN) channel so that iterative demodulation and decoding can be performed at the receiver. The effect of signal mapping on the error performance of BICM-ID systems in impulsive noise is then investigated, with both computer simulations and a tight error bound on the asymptotic performance. Extrinsic information transfer (EXIT) chart analysis is performed to illustrate the convergence properties of different mappings. The superior performance of BICMID compared to orthogonal frequency-division multiplexing (OFDM) is also clearly demonstrated.<p>Motivated by the successes of both BICM-ID and OFDM in improving the error performance of communications systems in impulsive noise environment, the second part of this thesis introduces a novel scheme of bit-interleaved coded OFDM with iterative decoding (BI-COFDM-ID) over the class-A impulsive noise channel. Here, an iterative receiver composed of outer and inner iteration loops is first described in detail. Error performance improvements of the proposed iterative receiver with different iteration strategies are presented and discussed. Performance comparisons of BI-COFDM-ID, BICM-ID and iteratively decoded OFDM are made to illustrate the superiority of BI-COFDM-ID. The effect of signal mapping on the error performance of BI-COFDM-ID is also studied.

Power line communications (PLC) surfers performance degradation due mainly to impulsive noise interference generated by electrical appliances. This thesis studies coded modulation techniques to improve the spectral efficiency and error performance of PLC. Considered in the first part is the application of bit-interleaved coded modulation with iterative decoding (BICM-ID) in class-A impulsive noise environment. In particular, the optimal soft-output demodulator and its suboptimal version are presented for an additive class-A noise (AWAN) channel so that iterative demodulation and decoding can be performed at the receiver. The effect of signal mapping on the error performance of BICM-ID systems in impulsive noise is then investigated, with both computer simulations and a tight error bound on the asymptotic performance. Extrinsic information transfer (EXIT) chart analysis is performed to illustrate the convergence properties of different mappings. The superior performance of BICMID compared to orthogonal frequency-division multiplexing (OFDM) is also clearly demonstrated.<p>Motivated by the successes of both BICM-ID and OFDM in improving the error performance of communications systems in impulsive noise environment, the second part of this thesis introduces a novel scheme of bit-interleaved coded OFDM with iterative decoding (BI-COFDM-ID) over the class-A impulsive noise channel. Here, an iterative receiver composed of outer and inner iteration loops is first described in detail. Error performance improvements of the proposed iterative receiver with different iteration strategies are presented and discussed. Performance comparisons of BI-COFDM-ID, BICM-ID and iteratively decoded OFDM are made to illustrate the superiority of BI-COFDM-ID. The effect of signal mapping on the error performance of BI-COFDM-ID is also studied.

The current research aims to examine the relationship among emotional labor, job burnout, impulsive buying behavior, and self-monitoring, and designates job burnout as mediator and self-monitoring as moderator. The research chose convenience sampling and sent out 400 questionnaires. 387 effective questionnaires were received and used STATA 8.0 to analyze descriptive statistics, reliability analysis, exploratory factor analysis, t-test, one way ANOVA, correlations and multiple regressions, and used LISREL8.8 to analyze confirmatory factor analysis. Verifying the model of this research institute inference with the structural equation model, the result shows the model mixes the degree rightly well. The findings of the study as followed: 1. First-line employees with different characters will lead to variance emotional labor, impulsive buying behavior. 2. There is a relationship between the emotional labor, job burnout and impulsive buying behavior. 3. There is a prediction between the emotional labor, job burnout and impulsive buying behavior. 4. There¡¦s a partial mediating effect for job burnout on the relationship between emotional labor and impulsive buying behavior. 5. Self-monitoring has moderating effects between the emotional labor of surface acting and impulsive buying behavior of compensatory impulsion.

Recent wireless communication research faces the challenge of meeting a predicted 1000x increase in demand for wireless Internet data over the next decade. Among the key reasons for such explosive increase in demand include the evolution of Internet as a provider of high-definition video entertainment and two-way video communication, accessed via mobile wireless devices. One way to meet some of this demand is by using multiple antennae at the transmitter and receiver in a wireless device. For example, a system with 4 transmit and 4 receive antennae can provide up to a 4x increase in data throughput. Another key aspect of the overall solution would require sharing radio frequency spectral resources among users, causing severe amounts of interference to wireless systems. Consequently, wireless receivers with multiple antennae would be deployed in network environments that are rife with interference primarily due to wireless resource sharing among users. Other significant sources of interference include computational platform subsystems, signal leakage, and external electronics. Interference causes severe degradation in communication performance of wireless receivers. Having accurate statistical models of interference is a key requirement to designing, and analyzing the communication performance of, multi-antenna wireless receivers in the presence of interference. Prior work on statistical modeling of interference in multi-antenna receivers utilizes either the Gaussian distribution, or non-Gaussian distributions exhibiting either statistical independence or spherical isotropy. This dissertation proposes a framework, based on underlying statistical-physical mechanism of interference generation and propagation, for modeling multi-antenna interference in various network topologies. This framework can model interference which is spherically isotropic, or statistically independent, or somewhere on a continuum between these two extremes. The dissertation then utilizes the derived statistical models to analyze communication performance of multi-antenna receivers in interference-limited wireless networks. Accurate communication performance analysis can highlight the tradeoffs between communication performance and computational complexity of various multi-antenna receiver designs. Finally, using interference statistics, this dissertation proposes receiver algorithms that best mitigate the impact of interference on communication performance. The proposed algorithms include multi-antenna combining strategies, as well as, antenna selection algorithms for cooperative communications. / text

Future smart grid systems will intelligently monitor and control energy flows in order to improve the efficiency and reliability of power delivery. This monitoring and control requires low-power, low-cost and highly reliable two-way communications between customers and utilities. To enable these two-way communication links, powerline communication (PLC) systems are attractive because they can be deployed over existing outdoor and indoor power lines. Power lines, however, have traditionally been designed for one-directional power delivery and remain hostile environments for communication signal propagation. In particular, non-Gaussian noise that is dominated by asynchronous impulsive noise and periodic impulsive noise, is one of the primary factors that limit the communication performance of PLC systems. For my PhD dissertation, I propose transmitter and receiver methods to mitigate the impact of asynchronous impulsive noise and periodic impulsive noise, respectively, on PLC systems. The methods exploit sparsity and/or cyclostationarity of the noise in both time and frequency domains, and require no or minor training overhead prior to data transmission. Compared to conventional PLC systems, the proposed transceivers achieve dramatic improvement (up to 1000x) in coded bit error rates in simulations, while maintaining similar throughput. / text

Impulsive choice refers to the inability to delay gratification and is associated with increased drug abuse vulnerability. Understanding the underlying neural mechanisms linking impulsive choice and drug abuse can contribute to improved treatment options for individuals with substance use disorders. Evidence suggests a major role for nucleus accumbens core (NAcc) in impulsive choice and the reinforcing effects of drugs of abuse. The neurotransmitters glutamate (Glu) and dopamine (DA) are implicated in the neural adaptations observed in drug addiction; however, the role of intra-NAcc Glu and DA in impulsive choice is unclear. Rats were trained in a delay discounting task, in which animals chose between a small, immediate reinforcer and large, delayed reinforcer. Consistently choosing the small, immediate reinforcer was considered to reflect increased impulsivity. Following delay discounting, in vitro receptor autoradiography was performed to quantify the number of N-methyl-D-aspartate (NMDA) receptors and dopamine transporters (DAT) in NAcc and nucleus accumbens shell (NAcSh). In a separate experiment, rats were trained in delay discounting and were implanted with guide cannulae into NAcc. Following surgery, rats received microinfusions of either a) the Glu-selective ligands MK-801 (noncompetitive NMDA receptor channel blocker; 0, 0.3, and 1.0 μg), AP-5 (competitive NMDA receptor antagonist; 0, 0.3, and 1.0 μg), ifenprodil (NMDA NR2B subunit antagonist; 0, 0.3, and 1.0 μg), and CNQX (AMPA receptor antagonist; 0, 0.2, and 0.5 μg) or b) the DA-selective ligands SKF 38393 (D1-like receptor agonist; 0, 0.03, and 0.1 μg), SCH 23390 (D1-like receptor antagonist; 0, 0.3, and 1.0 μg), quinpirole (D2-like receptor agonist; 0, 0.3, and 1.0 μg), and eticlopride (D2-like receptor antagonist; 0, 0.3, and 1.0 μg). In NAcc and NAcSh, NMDA receptor and DAT expression did not differ between high and low impulsive rats. Furthermore, intra-NAcc administration of NDMA and DA receptor ligands did not significantly alter impulsive choice. These results suggest that Glu and DA systems within NAcc do not directly mediate impulsive decision making. Future work is needed to determine the precise role of NAcc in mediating impulsive choice.

Thesis (Ph. D.)--University of Toronto, 2005.