862 resultados para Wavelets and fast transform eavelet


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Direct enantiomeric separation of all four optical isomers of 2-phenylcyclopropane carboxylate ester was first achieved on each of the three different beta-cyciodextrin chiral stationary phases (CSPs) in GC. Using these CSPs, enantiomeric excess of the products of enantioselective cyclopropanation can be determined directly, conveniently and fast.

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RESUMO: Existem vários métodos para avaliar o crescimento da vegetação e a taxa de cobertura do solo. Medidas precisas e rápidas podem ser obtidas do tratamento digital de imagens geradas de câmeras fotográficas ou de vídeo. Há disponível, no mercado, diversos processadores de imagens que apresentam funções básicas semelhantes, mas com certas particularidades que poderão trazer maior benefício para o usuário, dependendo da aplicação. O SPRING, desenvolvido pelo INPE, é de domínio público, sendo mais abrangente do que um processador de imagens, incluindo funções de geoprocessamento. O ENVI foi desenvolvido para a análise de imagens multiespectrais e hiperespectrais, podendo também ser utilizado para o processamento de imagens obtidas de câmeras de vídeo, por exemplo. O KS-300 é um conjunto de hardware e de software destinado ao processamento e à quantificação de imagens microscópicas, permitindo a captação direta das imagens geradas por meio de lupas, microscópios eletrônicos ou câmeras de vídeo. O SIARCS foi desenvolvido pela Embrapa Instrumentação Agropecuária para tornar mais ágil o processo de captação de dados de um sistema. Este trabalho apresenta os fundamentos teóricos básicos envolvidos na técnica de análise de imagens, com as principais características dos softwares citados acima e sua aplicação na quantificação da taxa de crescimento e da cobertura do solo por espécies vegetais. ABSTRACT: Several methods exist to evaluate the growth of the vegetation and the tax of covering of the soil. Necessary and fast measures can be obtained of the digital treatment of generated images of photographic cameras or of video. There is available, in the market, several processors of images that you/they present similar basic functions, but with certain particularities that can bring larger benefit for the user, depending on the application. SPRING, developed by INPE, it is public domain, being including than a processor of images, including functions. ENVI was developed for the analysis of images multiespectrais and hiperespectrais, could also be used for the processing of obtained images of video cameras, for instance. The KS-300 it is a hardware group and software destined to the processing and quantification of microscopic images, allowing the direct reception of the images generated through magnifying glasses, eletronic microscopes or video cameras. SIARCS was developed by Embrapa Agricultural Instrumentation to turn more agile the process of reception of data of a system. This work presents the basic theoretical foundations involved in the technique of analysis of images, with the main characteristics of the softwares mentioned above and his application in the quantification of the growth tax and of the covering of the soil for vegetable species.

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Breen, Andrew; Fallows, R. A.; Thomasson, P.; Bisi, M. M., 'Extremely long baseline interplanetary scintillation measurements of solar wind velocity', Journal of Geophysical Research (2006) 111(A8) pp.A08104 RAE2008

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Administracja publiczna, ze względu na swoją istotę (służbę), musi spełniać oczekiwania społeczne, stąd oprócz modernizacji zasobów, reorganizacji należy także modyfikować jej mentalność. Inaczej bez systematycznego dostosowywania się do jakże dynamicznej rzeczywistości zawiedzie i przeistoczy się w dysfunkcjonalną strukturę. W społeczeństwie ryzyka, w społeczeństwie informacyjnym, a takim niewątpliwie jesteśmy, newralgicznym elementem, szczególnie w sytuacjach kryzysowych, stała się polityka informacyjna. Warto zatem scharakteryzować jej istotę i wpływ na otoczenie, by następnie podmiotom zainteresowanym bezpieczeństwem przedstawić dostosowawcze rekomendacje o kluczowym znaczeniu. Należy pamiętać, że zdecydowana większość społeczeństwa ocenia rzeczywistość na podstawie wyrywkowych informacji z mass mediów, niż na szczegółowej analizie działalności administracji publicznej.

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One of TCP's critical tasks is to determine which packets are lost in the network, as a basis for control actions (flow control and packet retransmission). Modern TCP implementations use two mechanisms: timeout, and fast retransmit. Detection via timeout is necessarily a time-consuming operation; fast retransmit, while much quicker, is only effective for a small fraction of packet losses. In this paper we consider the problem of packet loss detection in TCP more generally. We concentrate on the fact that TCP's control actions are necessarily triggered by inference of packet loss, rather than conclusive knowledge. This suggests that one might analyze TCP's packet loss detection in a standard inferencing framework based on probability of detection and probability of false alarm. This paper makes two contributions to that end: First, we study an example of more general packet loss inference, namely optimal Bayesian packet loss detection based on round trip time. We show that for long-lived flows, it is frequently possible to achieve high detection probability and low false alarm probability based on measured round trip time. Second, we construct an analytic performance model that incorporates general packet loss inference into TCP. We show that for realistic detection and false alarm probabilities (as are achievable via our Bayesian detector) and for moderate packet loss rates, the use of more general packet loss inference in TCP can improve throughput by as much as 25%.

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Since Wireless Sensor Networks (WSNs) are subject to failures, fault-tolerance becomes an important requirement for many WSN applications. Fault-tolerance can be enabled in different areas of WSN design and operation, including the Medium Access Control (MAC) layer and the initial topology design. To be robust to failures, a MAC protocol must be able to adapt to traffic fluctuations and topology dynamics. We design ER-MAC that can switch from energy-efficient operation in normal monitoring to reliable and fast delivery for emergency monitoring, and vice versa. It also can prioritise high priority packets and guarantee fair packet deliveries from all sensor nodes. Topology design supports fault-tolerance by ensuring that there are alternative acceptable routes to data sinks when failures occur. We provide solutions for four topology planning problems: Additional Relay Placement (ARP), Additional Backup Placement (ABP), Multiple Sink Placement (MSP), and Multiple Sink and Relay Placement (MSRP). Our solutions use a local search technique based on Greedy Randomized Adaptive Search Procedures (GRASP). GRASP-ARP deploys relays for (k,l)-sink-connectivity, where each sensor node must have k vertex-disjoint paths of length ≤ l. To count how many disjoint paths a node has, we propose Counting-Paths. GRASP-ABP deploys fewer relays than GRASP-ARP by focusing only on the most important nodes – those whose failure has the worst effect. To identify such nodes, we define Length-constrained Connectivity and Rerouting Centrality (l-CRC). Greedy-MSP and GRASP-MSP place minimal cost sinks to ensure that each sensor node in the network is double-covered, i.e. has two length-bounded paths to two sinks. Greedy-MSRP and GRASP-MSRP deploy sinks and relays with minimal cost to make the network double-covered and non-critical, i.e. all sensor nodes must have length-bounded alternative paths to sinks when an arbitrary sensor node fails. We then evaluate the fault-tolerance of each topology in data gathering simulations using ER-MAC.

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OBJECTIVE: Pathological gaits have been shown to limit transfer between potential (PE) and kinetic (KE) energy during walking, which can increase locomotor costs. The purpose of this study was to examine whether energy exchange would be limited in people with knee osteoarthritis (OA). METHODS: Ground reaction forces during walking were collected from 93 subjects with symptomatic knee OA (self-selected and fast speeds) and 13 healthy controls (self-selected speed) and used to calculate their center of mass (COM) movements, PE and KE relationships, and energy recovery during a stride. Correlations and linear regressions examined the impact of energy fluctuation phase and amplitude, walking velocity, body mass, self-reported pain, and radiographic severity on recovery. Paired t-tests were run to compare energy recovery between cohorts. RESULTS: Symptomatic knee OA subjects displayed lower energetic recovery during self-selected walking speeds than healthy controls (P = 0.0018). PE and KE phase relationships explained the majority (66%) of variance in recovery. Recovery had a complex relationship with velocity and its change across speeds was significantly influenced by the self-selected walking speed of each subject. Neither radiographic OA scores nor subject self-reported measures demonstrated any relationship with energy recovery. CONCLUSIONS: Knee OA reduces effective exchange of PE and KE, potentially increasing the muscular work required to control movements of the COM. Gait retraining may return subjects to more normal patterns of energy exchange and allow them to reduce fatigue.

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Hemorrhage is the leading cause of preventable death after a traumatic injury. Commercial hemostatic agents exist, but have various disadvantages including high cost, short shelf-lives, or secondary tissue damage. Polymer hydrogels provide a promising platform for the use of both biological and mechanical mechanisms to accelerate natural hemostasis and control hemorrhage. The goal of this work was to develop hydrogel particles composed of chitosan and alginate and loaded with zeolite in order to stop blood loss by targeting multiple hemostatic mechanisms. Several ii particle compositions were synthesized and then characterized through swelling studies, particle sizing, Scanning Electron Microscopy (SEM), and Fourier Transform Infrared Spectroscopy (FTIR). The in vitro interactions of the particles were evaluated through coagulation, degradation, platelet aggregation, and cytotoxicity studies. The results indicate that 4% alginate, 1% chitosan, 4% zeolite-loaded hydrogel beads can significantly reduce time to coagulation and increase platelet aggregation in vitro. Future research can look into the efficacy of these particles in vivo.

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Electromagnetic processing of materials (EPM) is one of the most widely practiced and fast growing applications of magnetic and electric forces to fluid flow. EPM is encountered in both industrial processes and laboratory investigations. Applications range in scale from nano-particle manipulation to tonnes of liquid metal treated in the presence of various configurations of magnetic fields. Some of these processes are specifically designed and made possible by the use of the electromagnetic force, like the magnetic levitation of liquid droplets, whilst others involve electric currents essential for electrothermal or electrochemical reasons, for instance, in electrolytic metal production and in induction melting. An insight for the range of established and novel EPM applications can be found in the review presented by Asai [1] in the EPM-2003 conference proceedings.

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Counter-current chromatography (CCC) is a technique that shows a lot of potential for large scale purification. Its usefulness in a "research and development" pharmaceutical environment has been investigated, and the conclusions are shown in this article. The use of CCC requires the development of an appropriate solvent system (a parameter of critical importance), a process which can be tedious. This article presents a novel strategy, combining a statistical approach and fast HPLC to generate a three-dimensional partition coefficient map and rapidly predict an optimal solvent system. This screen is performed in half a day and involves 9 experiments per solvent mixture. Test separations were performed using that screen to ensure the validity of the method.

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The Continuous Plankton Recorder (CPR) survey provides a unique multi- decadal dataset on the abundance of plankton in the North Sea and North Atlantic and is one of only a few monitoring programmes operating at a large spatio- temporal scale. The results of all samples analysed from the survey since 1946 are stored on an Access Database at the Sir Alister Hardy Foundation for Ocean Science (SAHFOS) in Plymouth. The database is large, containing more than two million records (~80 million data points, if zero results are added) for more than 450 taxonomic entities. An open data policy is operated by SAHFOS. However, the data are not on-line and so access by scientists and others wishing to use the results is not interactive. Requests for data are dealt with by the Database Manager. To facilitate access to the data from the North Sea, which is an area of high research interest, a selected set of data for key phytoplankton and zooplankton species has been processed in a form that makes them readily available on CD for research and other applications. A set of MATLAB tools has been developed to provide an interpolated spatio-temporal description of plankton sampled by the CPR in the North Sea, as well as easy and fast access to users in the form of a browser. Using geostatistical techniques, plankton abundance values have been interpolated on a regular grid covering the North Sea. The grid is established on centres of 1 degree longitude x 0.5 degree latitude (~32 x 30 nautical miles). Based on a monthly temporal resolution over a fifty-year period (1948-1997), 600 distribution maps have been produced for 54 zooplankton species, and 480 distribution maps for 57 phytoplankton species over the shorter period 1958-1997. The gridded database has been developed in a user-friendly form and incorporates, as a package on a CD, a set of options for visualisation and interpretation, including the facility to plot maps for selected species by month, year, groups of months or years, long-term means or as time series and contour plots. This study constitutes the first application of an easily accessed and interactive gridded database of plankton abundance in the North Sea. As a further development the MATLAB browser is being converted to a user- friendly Windows-compatible format (WinCPR) for release on CD and via the Web in 2003.

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OBJECTIVES: The behavioral and psychological symptoms of Alzheimer's disease (AD) are associated with significant patient and caregiver distress and increased likelihood of institutionalization. We attempted to characterize in detail these symptoms and the distress they cause to caregivers. METHODS: Patients with probable AD were assessed with the Mini-Mental State Exam (MMSE), Functional Assessment Staging (FAST), and the Neuropsychiatric Inventory With Caregiver Distress (NPI-D). RESULTS: Four hundred and thirty-five patients were recruited. Neuropsychiatric symptoms of all types were highly prevalent. The most common and most persistent symptom was apathy (75%). Delusional symptoms were the least persistent. Depressive and apathetic symptoms were the earliest to appear, and hallucinations, elation/euphoria, and aberrant motor behavior were the latest symptoms to emerge. Hallucinations were significantly more common in severe dementia. Symptoms of irritability were most prevalent in early disease. Total Neuropsychiatric Symptom score was significantly correlated with MMSE and FAST score. Caregivers rated their own emotional distress levels as moderate or severe for 10 out of 12 symptom domains. The sum total of caregiver distress was strongly correlated with total NPI-D but not cognition or functional state. Distress levels did not vary when analyzed according to the patients' place of residence. CONCLUSIONS: Potentially treatable neuropsychiatric symptoms are common in AD and represent a major source of distress among caregivers. The extent of neuropsychiatric symptomatology is seen to correlate with the level of functional and cognitive disability although some symptoms are variably persistent and related to disease stage.

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Neural adaptation and inhibition are pervasive characteristics of the primate brain, and are probably understood better within the context of visual processing than any other sensory modality. These processes are thought to underlie illusions in which one motion affects the perceived direction of another, such as the direction aftereffect (DAE) and direction repulsion. The DAE describes how, following prolonged viewing of motion in one direction, the direction of a subsequently viewed test pattern is misperceived. In the case of direction repulsion, the direction difference between two transparently moving surfaces is over-estimated. Explanations of the DAE appeal to neural adaptation whilst direction repulsion is accounted for through lateral inhibition. Here we report on a new illusion, the Binary DAE, in which superimposed slow and fast dots moving in the same direction are perceived to move in different directions following adaptation to a mixed-speed stimulus. This new phenomenon is essentially a combination of the DAE and direction repulsion. Interestingly the magnitude of the binary DAE is greater than would be expected simply through a linear combination of the DAE and direction repulsion, suggesting that the mechanisms underlying these two phenomena interact in a non-linear fashion.

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This paper considers invariant texture analysis. Texture analysis approaches whose performances are not affected by translation, rotation, affine, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classified into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture analysis is presented first. Each approach is reviewed according to its classification, and its merits and drawbacks are outlined. The focus of possible future work is also suggested.

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An overview on high-resolution and fast interrogation of optical-fiber sensors relying on laser reflection spectroscopy is given. Fiber Bragg-gratings (FBGs) and FBG resonators built in fibers of different types are used for strain, temperature and acceleration measurements using heterodyne-detection and optical frequency-locking techniques. Silica fiber-ring cavities are used for chemical sensing based on evanescent-wave spectroscopy. Various arrangements for signal recovery and noise reduction, as an extension of most typical spectroscopic techniques, are illustrated and results on detection performances are presented.