Distribution harmonic state estimation based on a modified PSO considering parameters uncertainty

This paper presents a new algorithm based on a Modified Particle Swarm Optimization (MPSO) to estimate the harmonic state variables in a distribution networks. The proposed algorithm performs the estimation for both amplitude and phase of each injection harmonic currents 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 the uncertainty of the Distributed Generators (DGs) such as Wind Turbines (WTs). The main features of the proposed MPSO algorithm are usage of a primary and secondary PSO loop and applying the mutation function. The simulation results on 34-bus IEEE radial and a 70-bus realistic radial test networks are presented. The results demonstrate that the speed and the accuracy of the proposed Distribution Harmonic State Estimation (DHSE) algorithm are very excellent compared to the algorithms such as Weight Least Square (WLS), Genetic Algorithm (GA), original PSO, and Honey Bees Mating Optimization (HBMO).

A novel algorithm based on honey bee mating optimization for distribution harmonic state estimation including distributed generators

This paper presents a new algorithm based on honey-bee mating optimization (HBMO) to estimate harmonic state variables in distribution networks including distributed generators (DGs). The proposed algorithm performs estimation for both amplitude and phase of each harmonics 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. Simulation results on two distribution test system are presented to demonstrate that 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) and tabu search (TS).

Distribution harmonic state estimation based on a hybrid PSO and SA algorithm considering parameters uncertainty

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.

Distribution state estimation based on particle swarm and doubly loop mutant optimization (DLM-PSO)

This paper presents a novel algorithm based on particle swarm optimization (PSO) to estimate the states of electric distribution networks. In order to improve the performance, accuracy, convergence speed, and eliminate the stagnation effect of original PSO, a secondary PSO loop and mutation algorithm as well as stretching function is proposed. For accounting uncertainties of loads in distribution networks, pseudo-measurements is modeled as loads with the realistic errors. Simulation results on 6-bus radial and 34-bus IEEE test distribution networks show that the distribution state estimation based on proposed DLM-PSO presents lower estimation error and standard deviation in comparison with algorithms such as WLS, GA, HBMO, and original PSO.

Evaluación de la comercialización de productos agropecuarios en el casco urbano del municipio de Camoapa, Boaco

El presente trabajo se realizó en el municipio de Camoapa, departamento de Boaco. El trabajo consistió en aplicar una encuesta a dueños de pulperías, mini pulperías, distribuidoras, ventas de granos básicos y carnicerías. La muestra evaluada fue de 66 establecimientos. Las variables evaluadas fueron formas de comercialización, características económicas, calidad de los productos y problemas de comercialización. Estas se analizaron mediante estadística descriptiva a través de los parámetros: media, desviación estándar, varianza de la muestra, rango, máximo y mínimo, distribución de frecuencias y porcentajes o frecuencias relativas. Una vez obtenida la información y teniendo como referencia los análisis FODA de las comisiones de producción y de defensa del consumidor del municipio de se procedió a determinar posibles alternativas que contribuyan a disminuir fas debilidades. y amenazas determinadas. Los resultados indican que los productos comercializados provienen de otros departamentos, de municipios aledaños a Camoapa, de industrias nacionales. Los productos que provienen principalmente del municipio son: el frijol, los huevos, la leche y en menor escala las hortalizas (chiltoma y tomate). En cuanto a los precios de compra - venta de los productos agropecuarios comercializados son inferiores a los reportados por el SIPM (Servicio de Información de Precios y Mercados) en las mismas fechas en que se realizó el presente estudio. Los problemas de calidad identificados fueron: tamaño variado con mayor presencia de frutos pequeños y deformados con danos visibles y en malas condiciones de almacenamiento y falta de valor agregado. Contrario a esto, los productos pecuarios poseen buena presentación de empaque: etiquetado, registro sanitario, normas de calidad e higiene, código de barra y son productos de exportación. Los problemas de comercialización obedecen a las siguientes razones: no hay canales seguros de comercialización, desconocimiento de los productores sobre precios, falta de mercado en donde vender sus productos y la poca diversificación de la producción. Las estrategias definidas se refieren a los siguientes aspectos: diversificación productiva, divulgación de precios de los productos provenientes del municipio, la organización de productores, implementación de industrias transformadoras de materia prima, concientizar a la población de los grandes valores nutricionales de frutas y hortalizas para la salud del ser humano, organizar ferias,mecanismo de control permanente de calidad durante el procesamiento de la carne en el rastro municipal, validar sistemas sostenibles de producción establecidos en regiones con las mismas condiciones del municipio para demostrar al productor la viabilidad de estos en comparación con los usados por ellos, creación de centros de acopio y comercialización de productos agropecuarios que reduzcan la cadena de intermediarios, alianzas estratégicas, certificación fitosanitaria y dotación de patentes de productos agropecuarios, acondicionamiento adecuado del mercado municipal de abastos, incentivar a los productores para que aumenten los volúmenes y calidad de producción (asistencia técnica accesible económicamente y subsidios). crear organizaciones de mujeres para capacitarlas en agroindustria artesanal, crear mecanismos de seguimiento al proceso de producción, crear organizaciones de productores de hortalizas que permitan gestionar la adquisición de medios de transporte exclusivos para fines de comercialización, capacitar a las familias rurales para fomentar el desarrollo de la agroindustria artesanal y de esa manera contribuir a mejorar la comercialización.

InP/InGaAsP光晶体管探测器和双模激光器的研制

Submitted by zhangdi (zhangdi@red.semi.ac.cn) on 2009-04-13T11:45:31Z

Robust visual tracking using structurally random projection and weighted least squares

Sparse representation based visual tracking approaches have attracted increasing interests in the community in recent years. The main idea is to linearly represent each target candidate using a set of target and trivial templates while imposing a sparsity constraint onto the representation coefficients. After we obtain the coefficients using L1-norm minimization methods, the candidate with the lowest error, when it is reconstructed using only the target templates and the associated coefficients, is considered as the tracking result. In spite of promising system performance widely reported, it is unclear if the performance of these trackers can be maximised. In addition, computational complexity caused by the dimensionality of the feature space limits these algorithms in real-time applications. In this paper, we propose a real-time visual tracking method based on structurally random projection and weighted least squares techniques. In particular, to enhance the discriminative capability of the tracker, we introduce background templates to the linear representation framework. To handle appearance variations over time, we relax the sparsity constraint using a weighed least squares (WLS) method to obtain the representation coefficients. To further reduce the computational complexity, structurally random projection is used to reduce the dimensionality of the feature space while preserving the pairwise distances between the data points in the feature space. Experimental results show that the proposed approach outperforms several state-of-the-art tracking methods.

LaGomiCs - Lagomorph Genomics Consortium: An International Collaborative Effort for Sequencing the Genomes of an Entire Mammalian Order

The order Lagomorpha comprises about 90 living species, divided in 2 families: the pikas (Family Ochotonidae), and the rabbits, hares, and jackrabbits (Family Leporidae). Lagomorphs are important economically and scientifically as major human food resources, valued game species, pests of agricultural significance, model laboratory animals, and key elements in food webs. A quarter of the lagomorph species are listed as threatened. They are native to all continents except Antarctica, and occur up to 5000 m above sea level, from the equator to the Arctic, spanning a wide range of environmental conditions. The order has notable taxonomic problems presenting significant difficulties for defining a species due to broad phenotypic variation, overlap of morphological characteristics, and relatively recent speciation events. At present, only the genomes of 2 species, the European rabbit (Oryctolagus cuniculus) and American pika (Ochotona princeps) have been sequenced and assembled. Starting from a paucity of genome information, the main scientific aim of the Lagomorph Genomics Consortium (LaGomiCs), born from a cooperative initiative of the European COST Action “A Collaborative European Network on Rabbit Genome Biology—RGB-Net” and the World Lagomorph Society (WLS), is to provide an international framework for the sequencing of the genome of all extant and selected extinct lagomorphs. Sequencing the genomes of an entire order will provide a large amount of information to address biological problems not only related to lagomorphs but also to all mammals. We present current and planned sequencing programs and outline the final objective of LaGomiCs possible through broad international collaboration.

Development of high-resolution gamma cameras based on silicon photosensors

The development of a compact gamma camera with high spatial resolution is of great interest in Nuclear Medicine as a means to increase the sensitivity of scintigraphy exams and thus allow the early detection of small tumours. Following the introduction of the wavelength-shifting fibre (WSF) gamma camera by Soares et al. and evolution of photodiodes into highly sensitive silicon photomultipliers (SiPMs), this thesis explores the development of a WSF gamma camera using SiPMs to obtain the position information of scintillation events in a continuous CsI(Na) crystal. The design is highly flexible, allowing the coverage of different areas and the development of compact cameras, with very small dead areas at the edges. After initial studies which confirmed the feasibility of applying SiPMs, a prototype with 5 5 cm2 was assembled and tested at room temperature, in an active field-of-view of 10 10 mm2. Calibration and characterisation of intrinsic properties of this prototype were done using 57Co, while extrinsic measurements were performed using a high-resolution parallel-hole collimator and 99mTc. In addition, a small mouse injected with a radiopharmaceutical was imaged with the developed prototype. Results confirm the great potential of SiPMs when applied in a WSF gamma camera, achieving spatial resolution performance superior to the traditional Anger camera. Furthermore, performance can be improved by an optimisation of experimental conditions, in order to minimise and control the undesirable effects of thermal noise and non-uniformity of response of multiple SiPMs. The development and partial characterisation of a larger SiPM WSF gamma camera with 10 10 cm2 for clinical application are also presented.

Design of a CMOS amplifier for breast cancer detection

A transimpedance amplifier (TIA) is used, in radiation detectors like the positron emission tomography(PET), to transform the current pulse produced by a photo-sensitive device into an output voltage pulse with a desired amplitude and shape. The TIA must have the lowest noise possible to maximize the output. To achieve a low noise, a circuit topology is proposed where an auxiliary path is added to the feedback TIA input, In this auxiliary path a differential transconductance block is used to transform the node voltage in to a current, this current is then converted to a voltage pulse by a second feedback TIA complementary to the first one, with the same amplitude but 180º out of phase with the first feedback TIA. With this circuit the input signal of the TIA appears differential at the output, this is used to try an reduced the circuit noise. The circuit is tested with two different devices, the Avalanche photodiodes (APD) and the Silicon photomultiplier (SIPMs). From the simulations we find that when using s SIPM with Rx=20kΩ and Cx=50fF the signal to noise ratio is increased from 59 when using only one feedback TIA to 68.3 when we use an auxiliary path in conjunction with the feedback TIA. This values where achieved with a total power consumption of 4.82mv. While the signal to noise ratio in the case of the SIPM is increased with some penalty in power consumption.

On the choice of test for a unit root when the errors are conditionally heteroskedastic

It is well known that in the context of the classical regression model with heteroskedastic errors, while ordinary least squares (OLS) is not efficient, the weighted least squares (WLS) and quasi-maximum likelihood (QML) estimators that utilize the information contained in the heteroskedasticity are. In the context of unit root testing with conditional heteroskedasticity, while intuition suggests that a similar result should apply, the relative performance of the tests associated with the OLS, WLS and QML estimators is not well understood. In particular, while QML has been shown to be able to generate more powerful tests than OLS, not much is known regarding the relative performance of the WLS-based test. By providing an in-depth comparison of the tests, the current paper fills this gap in the literature.

Photoelectron multipliers based on avalanche pn - i - pn structures

We present a new physical principle to design an optoelectronic device, which consists of a multilayered semiconductor structure, where the necessary conditions for generation of photoelectrons are met, such that it will enable sequential avalanche multiplication of electrons and holes inside two depletion slabs created around the p - n junctions of a reverse biased pn - i - pn structure. The mathematical model and computer simulations of this Semiconductor Photo-electron Multiplier (SPEM) for different semiconductor materials are presented. Its performance is evaluated and compared with that of conventional devices. The Geiger operational mode is briefly discussed which may be used in Silicon Photomultiplier (SiPM) as an elementary photo detector to enhance its performance.

An in vivo radiographic evaluation of the accuracy of Apex and iPex electronic Apex locators

The aim of this study was to evaluate in vivo the clinical applicability of two electronic apex locators (EALs) - Apex (Septodont) and iPex (NSK) - in different groups of human teeth by using radiography. The working lengths (WLs) of 100 root canals were determined electronically. The EAL to be used first was chosen randomly and a K-file was inserted into the root canal until the EAL display indicated the location of the apical constriction (0 mm). The K-file was fixed to the tooth and a periapical radiograph was taken using a radiographic film holder. The K-file was removed and the WL was measured. The same procedure was repeated using the other EAL. Radiographs were examined with the aid of a light-box with lens of ×4 magnification by two blinded experienced endodontists. The distance between the file tip and the root apex was recorded as follows: (A) +1 to 0 mm, (B) -0.1 to 0.5 mm, (C) -0.6 to 1 mm, (D) -1.1 to 1.5 mm, and (E) -1.6 mm or greater. For statistical purposes, these scores were divided into 2 subgroups according to the radiographic apex: acceptable (B, C, and D) and non-acceptable (A and E). Statistically significant differences were not found between the results of Apex and iPex in terms of acceptable and non-acceptable measurements (p>0.05) or in terms of the distance recorded from file tip and the radiographic apex (p>0.05). Apex and iPex EALs provided reliable measurements for WL determination for endodontic therapy.

Sviluppo di un sistema tomografico con tubo a raggi x da 300 kv: progettazione e test preliminari.

In questo elaborato sono descritti la progettazione e lo sviluppo di un sistema tomografico con sorgente di raggi X da 300 kV per analisi nel campo dei Beni Culturali; in particolare sono stati effettuati test preliminari sia per verificare le prestazioni del tubo a raggi X e dello schermo scintillatore sia per avere indicazioni utili alla progettazione (e conseguente costruzione) del box di rivelazione. Il collaudo della sorgente di raggi X è stato eseguito con lo studio dell'andamento della dose integrale e/o del rateo di dose in funzione della tensione, della corrente e del tempo d'irraggiamento. La caratterizzazione dello schermo scintillatore di CsI(Tl) è basata sul confronto delle sue caratteristiche con uno schermo analogo di spessore differente nelle stesse condizioni sperimentali, attraverso lo studio dei parametri standard dei dispositivi per imaging, quali la curva di risposta, il rapporto segnale-rumore e la risoluzione spaziale. Inoltre, come ulteriore test, lo schermo scintillatore è stato utilizzato per l’indagine tomografica di alcuni pani di terra contenenti olle di epoca villanoviana. Per la progettazione del box rivelatore sono state invece svolte misure di tipo ottico. I vari test svolti in laboratorio hanno dato risultati positivi e hanno dimostrato la validità dei componenti scelti per il nuovo sistema tomografico, il cui assemblaggio verrà completato a breve, essendo stata ultimata proprio in queste settimane la costruzione del box di rivelazione.

Tecniche di analisi digitale dei segnali prodotti da rivelatori per neutroni

La disintegrazione dei nuclei atomici si traduce in una emissione di vari tipi di radiazioni e particelle tra cui neutroni e raggi gamma. La rivelazione dei neutroni comporta l’utilizzo di rivelatori a scintillazione e tecniche di analisi per poter identificare e ottenere informazioni sull’energia dei neutroni. Il processo di scintillazione per la rivelazione dei neutroni consiste nell’interazione con i nuclei del materiale e successiva emissione luminosa dovuta a ionizzazione degli atomi del rivelatore. La luce e in seguito convertita in impulsi elettrici, i quali possono essere analizzati con opportune tecniche. L’emissione di neutroni `e accompagnata da emissione di raggi gamma e quindi `e necessario identificare i neutroni. Rivelatori basati su scintillatori organici vengono spesso impiegati nella spettrometria neutronica ad energie superiori di 0.5 MeV ed in una vasta gamma di applicazioni come la medicina, l’industria e la radioprotezione. La rilevazione dei neutroni `e molto importante nello studio delle reazioni nucleari di bassa energia e nello studio della materia nucleare lontano dalla valle di stabilita. In questo lavoro abbiamo studiato tre algoritmi: Zero Crossing, Charge Comparison e Pulse Gradient Analysis. Questi algoritmi sono stati in seguito applicati all’analisi di un insieme di dati provenienti dalla reazione nucleare 7Li(p,n)7Be. E stato utilizzato uno scintillatore organico liquido BC501. Si `e effettuato un confronto tra le varie tecniche utilizzate per determinare il grado di discriminazione ottenuto con ognuna di esse. I risultati ottenuti permettono di decidere in seguito quale algoritmo si presta ad essere utilizzato anche in altri esperimenti futuri. Il metodo Pulse Gradient Analysis `e risultato il piu` prometente, essendo anche possibile l’utilizzo on-line.