Tesis sobre el tema "CIA machinery"

Sutton introduced EL CID in the 1970's. This thesis records the development of EL CID theory, with particular reference to its application to large, salient-pole, water-turbine driven, electrical machines, known as hydrogenerators. Factors are identified and clarified which otherwise may cause misunderstanding of hydrogenerator stator core interlamination insulation condition. Features discussed, with reference to their impact upon the detected EL CID signal, are alternative forms of excitation winding of the stator core, its constructional features, including core build bars (or key bars), core segmentation, proximity of ferrous components, plus ancillary matters such as the location of brake/jack units, the degree of machine assembly, whether in or out of the operational situation, the extent of the machine enclosure, and the presence of the stator winding and rotor-mounted salient poles. Although satisfactory application of EL CID to turbogenerators was achieved in the 1970's, anomalies arose when applied to salient-pole machines, due to shorter stator winding end-overhang, its multi-parallel circuits, and also the disincentive of realignment of the rotor if removed, making access to the stator bore and accurate location of the excitation cable more difficult. When present, joints in very large hydrogenerator stator frames and cores, for transportation, made analysis of EL CID results particularly difficult. The problem presented by core joints arose in the initial factory demonstration of application of EL CID to hydrogenerators. The solution recognises the interdependence of the two orthogonal EL CID signal components, which indicate EL CID as analogous to a transformer, with two short-circuited secondary windings; one for interlamination fault current (designated "delta"), the other being the stator winding, when present. In order to draw the phasor diagram with reference to the secondary side of the analogous transformer, the direction of the excitation phasor is reversed, since the fault current is detected in a secondary circuit. Application of standard transformer theory produces an appropriate EL CID phasor diagram, in various forms, depending upon the particular test circumstance. In this context, the significant concept of a line for which interlamination fault current (delta) is zero (i.e. a zero delta line) was introduced. The two orthogonal EL CID signals, designated PHASE and QUAD, are plotted on equal scales; unless related appropriately by a technique described, which takes the difference into account, to ensure the highest accuracy. Evaluation of delta indicates the effectiveness of core repairs, which supports the usefulness of the EL CID technique when applied to hydrogenerators, as well as turbogenerators. At core joints, the detected maximum fault current (deltamax) is usually appreciably greater than the traditional acceptance criterion of 100 mA. This is discussed, and the conclusion drawn that the distribution of delta along the core length provides an adequate indication of any weak region of interlamination insulation. The practise of routinely resetting the Phase Reference for an EL CID test is examined, and found to be not acceptable, unless the results are subsequently referred back to the basic reference. As a final demonstration of the EL CID technique usefulness, the analysis of results from a core joint, where there was an imposed artificial fault, identifies the location concerned.

Die sukses van enige masjienvertaalsisteem hang grootliks van die hoeveelheid en kwaliteit van die beskikbare afrigtingsdata af. n Sisteem wat met foutiewe of lae–kwaliteit data afgerig is, sal uiteraard swakker afvoer lewer as n sisteem wat met korrekte of hoë–kwaliteit data afgerig is. In die geval van hulpbronarm tale waar daar min data beskikbaar is en data dalk noodgedwonge vertaal moet word vir die skep van parallelle korpora wat as afrigtingsdata kan dien, is dit dus baie belangrik dat die data wat vir vertaling gekies word, so gekies word dat dit teksgedeeltes insluit wat die meeste waarde tot die masjienvertaalsisteem sal bydra. Dit is ook in so n geval uiters belangrik om die beskikbare data so goed moontlik aan te wend. Hierdie studie stel ondersoek in na metodes om afrigtingsdata te selekteer met die doel om n optimale masjienvertaalsisteem met beperkte hulpbronne af te rig. Daar word ook aandag gegee aan die moontlikheid om die gewigte van sekere gedeeltes van die afrigtingsdata te verhoog om sodoende die data wat die meeste waarde tot die masjienvertaalsisteem bydra te beklemtoon. Alhoewel hierdie studie spesifiek gerig is op metodes vir dataselektering en –manipulering vir die taalpaar Engels–Afrikaans, sou die metodes ook vir toepassing op ander taalpare gebruik kon word. Die evaluasieproses dui aan dat beide die dataselekteringsmetodes, asook die aanpassing van datagewigte, n positiewe impak op die kwaliteit van die resulterende masjienvertaalsisteem het. Die uiteindelike sisteem, afgerig deur n kombinasie van verskillende metodes, toon n 2.0001 styging in die NIST–telling en n 0.2039 styging in die BLEU–telling.
Thesis (M.A. (Applied Language and Literary Studies))--North-West University, Potchefstroom Campus, 2011.

L'identification d'appareils photos a récemment fait l'objet d'une grande attention en raison de son apport en terme sécurité et juridique. Établir l'origine d'un médias numériques, obtenus par un appareil d'imagerie est important à chaque fois que le contenu numériques est présente et utilise comme preuve devant un tribunal.L'identification d'appareils photos consiste à déterminer la marque, le modèle, ou le dispositif qui a été utilisé pour prendre une image.Notre première contribution pour l'identification du modèle d'appareil photo numérique est basée sur l'extraction de trois ensembles de caractéristiques puis l'utilisation d'apprentissage automatique. Ces caractéristiques sont la matrice de cooccurrences,des corrélations inter-canaux mesurant la trace laissée par l'interpolation CFA, et les probabilités conditionnelles calculées dans le domaine JPEG. Ces caractéristiques donnent des statistiques d'ordre élevées qui complètent et améliorent le taux d'identification. Les expériences prouvent la force de notre proposition, car la précision obtenue est supérieure à celle des méthodes basées sur la corrélation.La deuxième contribution est basée sur l'utilisation des CNNs. Contrairement aux méthodes traditionnelles, les CNNs apprennent simultanément les caractéristiques et la classification. Nous proposons d'ajouter une couche de pré-traitement (filtre passe-haut applique à l'image d’entrée) au CNN. Le CNN obtenu donne de très bonnes performances pour une faible complexité d'apprentissage. La méthode proposée donne des résultats équivalent à ceux obtenu par une approche en deux étapes (extraction de caractéristiques + SVM). Par ailleurs nous avons également examines les CNNs : AlexNet et GoogleNet. GoogleNet donne actuellement les meilleurs taux d'identification pour une complexité d'apprentissage plus grande
Source camera identification has recently received a wide attention due to its importantrole in security and legal issue. The problem of establishing the origin ofdigital media obtained through an imaging device is important whenever digitalcontent is presented and is used as evidence in the court. Source camera identification is the process of determining which camera device or model has been used to capture an image.Our first contribution for digital camera model identification is based on the extractionof three sets of features in a machine learning scheme. These featuresare the co-occurrences matrix, some features related to CFA interpolation arrangement,and conditional probability statistics computed in the JPEG domain.These features give high order statistics which supplement and enhance the identification rate. The experiments prove the strength of our proposition since it achieves higher accuracy than the correlation-based method.The second contribution is based on using the deep convolutional neural networks(CNNs). Unlike traditional methods, CNNs can automatically and simultaneouslyextract features and learn to classify during the learning process. A layer ofpreprocessing is added to the CNN model, and consists of a high pass filter which isapplied to the input image. The obtained CNN gives very good performance for avery small learning complexity. Experimental comparison with a classical two stepsmachine learning approach shows that the proposed method can achieve significantdetection performance. The well known object recognition CNN models, AlexNetand GoogleNet, are also examined

Magister Scientiae - MSc (Computer Science)
A machine translation system that can convert South African Sign Language (SASL) video to audio or text and vice versa would be bene cial to people who use SASL to communicate. Five fundamental parameters are associated with sign language gestures, these are: hand location; hand orientation; hand shape; hand movement and facial expressions. The aim of this research is to recognise facial expressions and to compare both feature descriptors and machine learning techniques. This research used the Design Science Research (DSR) methodology. A DSR artefact was built which consisted of two phases. The rst phase compared local binary patterns (LBP), compound local binary patterns (CLBP) and histogram of oriented gradients (HOG) using support vector machines (SVM). The second phase compared the SVM to arti cial neural networks (ANN) and random forests (RF) using the most promising feature descriptor|HOG|from the rst phase. The performance was evaluated in terms of accuracy, robustness to classes, robustness to subjects and ability to generalise on both the Binghamton University 3D facial expression (BU-3DFE) and Cohn Kanade (CK) datasets. The evaluation rst phase showed HOG to be the best feature descriptor followed by CLBP and LBP. The second showed ANN to be the best choice of machine learning technique closely followed by the SVM and RF.

Una Brain Computer Interface (BCI) è un dispositivo che permette la misura e l’utilizzo di segnali cerebrali al fine di comandare software e/o periferiche di vario tipo, da semplici videogiochi a complesse protesi robotizzate. Tra i segnali attualmente più utilizzati vi sono i Potenziali Evocati Visivi Steady State (SSVEP), variazioni ritmiche di potenziale elettrico registrabili sulla corteccia visiva primaria con un elettroencefalogramma (EEG) non invasivo; essi sono evocabili attraverso una stimolazione luminosa periodica, e sono caratterizzati da una frequenza di oscillazione pari a quella di stimolazione. Avendo un rapporto segnale rumore (SNR) particolarmente favorevole ed una caratteristica facilmente studiabile, gli SSVEP sono alla base delle più veloci ed immediate BCI attualmente disponibili. All’utente vengono proposte una serie di scelte ciascuna associata ad una stimolazione visiva a diversa frequenza, fra le quali la selezionata si ripresenterà nelle caratteristiche del suo tracciato EEG estratto in tempo reale. L’obiettivo della tesi svolta è stato realizzare un sistema integrato, sviluppato in LabView che implementasse il paradigma BCI SSVEP-based appena descritto, consentendo di: 1. Configurare la generazione di due stimoli luminosi attraverso l’utilizzo di LED esterni; 2. Sincronizzare l’acquisizione del segnale EEG con tale stimolazione; 3. Estrarre features (attributi caratteristici di ciascuna classe) dal suddetto segnale ed utilizzarle per addestrare un classificatore SVM; 4. Utilizzare il classificatore per realizzare un’interfaccia BCI realtime con feedback per l’utente. Il sistema è stato progettato con alcune delle tecniche più avanzate per l’elaborazione spaziale e temporale del segnale ed il suo funzionamento è stato testato su 4 soggetti sani e comparato alle più moderne BCI SSVEP-based confrontabili rinvenute in letteratura.

The thesis solves construction technological project of the Regional Centre of Advanced Technologies and Materials in Olomouc. The thesis contains a engineering report to the resolved issues, block plan and block plan drawing, technological regulation for CFA piles and testing plan for CFA piles. Other parts of the thesis are the schedule, itemized budget for the shell construction, calculation structures according THU, time and financial plan of the whole building, work safety in the implementation of cast-in-place reinforced concrete structures, design of machine formation and solution organization of construction, which includes an engineering report site equipment and site equipment drawing.

This diploma thesis deals with the construction and technological project of the reinforced concrete monolithic hall for Dinel s.r.o., which has its seat in the industrial zone Zlín - Příluky. There are prepared a technical report for the construction project, time and financial plan of the construction of the second stage, a study of the implementation of the main technological stages, a project of the building facility, a design of the main building machines and mechanisms, a schedule of the main building including a plan of the material resources and technological regulations of selected stages together with control and test plans. In addition there is prepared a budget item of the main building, the health and safety plan and a problematics of the antistatic floors.

This diploma thesis focuses on the construction of a construction technological project for the construction of the Central Charging Station in Púchov. The building is located in the industrial area of Púchov and in the area of Continental Matador Rubber. In the thesis is elaborated technical report for building technological project, co-ordination situation of construction with wider transport routes, time and financial object plan, study of the realization of the main technological stages, construction site design, design of main building machines and mechanisms, time schedule of main building, securing material resources for the monolithic part of the building. In the thesis are made, technological rules for drilled pilots and ceiling structure above the first overground floor. Technological regulations follow control and test plans. Other assignments that have been made in this work, such as the occupational safety and health plan, the design and comparison of cranes and the item budget.

This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.

Algoritmos de aprendizado semissupervisionado aprendem a partir de uma combinação de dados rotulados e não rotulados. Assim, eles podem ser aplicados em domínios em que poucos exemplos rotulados e uma vasta quantidade de exemplos não rotulados estão disponíveis. Além disso, os algoritmos semissupervisionados podem atingir um desempenho superior aos algoritmos supervisionados treinados nos mesmos poucos exemplos rotulados. Uma poderosa abordagem ao aprendizado semissupervisionado, denominada aprendizado multidescrição, pode ser usada sempre que os exemplos de treinamento são descritos por dois ou mais conjuntos de atributos disjuntos. A classificação de textos é um domínio de aplicação no qual algoritmos semissupervisionados vêm obtendo sucesso. No entanto, o aprendizado semissupervisionado multidescrição ainda não foi bem explorado nesse domínio dadas as diversas maneiras possíveis de se descrever bases de textos. O objetivo neste trabalho é analisar o desempenho de algoritmos semissupervisionados multidescrição na classificação de textos, usando unigramas e bigramas para compor duas descrições distintas de documentos textuais. Assim, é considerado inicialmente o difundido algoritmo multidescrição CO-TRAINING, para o qual são propostas modificações a fim de se tratar o problema dos pontos de contenção. É também proposto o algoritmo COAL, o qual pode melhorar ainda mais o algoritmo CO-TRAINING pela incorporação de aprendizado ativo como uma maneira de tratar pontos de contenção. Uma ampla avaliação experimental desses algoritmos foi conduzida em bases de textos reais. Os resultados mostram que o algoritmo COAL, usando unigramas como uma descrição das bases textuais e bigramas como uma outra descrição, atinge um desempenho significativamente melhor que um algoritmo semissupervisionado monodescrição. Levando em consideração os bons resultados obtidos por COAL, conclui-se que o uso de unigramas e bigramas como duas descrições distintas de bases de textos pode ser bastante compensador
Semi-supervised learning algorithms learn from a combination of both labeled and unlabeled data. Thus, they can be applied in domains where few labeled examples and a vast amount of unlabeled examples are available. Furthermore, semi-supervised learning algorithms may achieve a better performance than supervised learning algorithms trained on the same few labeled examples. A powerful approach to semi-supervised learning, called multi-view learning, can be used whenever the training examples are described by two or more disjoint sets of attributes. Text classification is a domain in which semi-supervised learning algorithms have shown some success. However, multi-view semi-supervised learning has not yet been well explored in this domain despite the possibility of describing textual documents in a myriad of ways. The aim of this work is to analyze the effectiveness of multi-view semi-supervised learning in text classification using unigrams and bigrams as two distinct descriptions of text documents. To this end, we initially consider the widely adopted CO-TRAINING multi-view algorithm and propose some modifications to it in order to deal with the problem of contention points. We also propose the COAL algorithm, which further improves CO-TRAINING by incorporating active learning as a way of dealing with contention points. A thorough experimental evaluation of these algorithms was conducted on real text data sets. The results show that the COAL algorithm, using unigrams as one description of text documents and bigrams as another description, achieves significantly better performance than a single-view semi-supervised algorithm. Taking into account the good results obtained by COAL, we conclude that the use of unigrams and bigrams as two distinct descriptions of text documents can be very effective

The content of the diploma thesis is a building-technological project of the new building of residential building Lanškroun. The thesis contains technological regulations for a rough bottom structure and a rough top structure. Technological regulation are complemented by design of machine assembly, site facilities and control and test plans. Work safety, construction risk assessment, time schedule of main object, object time and financial plan and budget of main building are also solved. An important part is the economic comparison of tower crane and mobile crane and green facade.

Thesis I worked on a project basis provided the building permit for an office complex of two identical fourth storey buildings which from the first storey intersects the inner atrium. The buildings are located within the CTZone Brno in the street Masna. The buildings are designed so that the ground floor is a garage for cars and retail space for rent and above-ground floors are reserved for office space lease. Objects are based on a floating pile conducted by the CFA, which builds prefabricated concrete skeleton. The cladding is formed by a combined system of aluminum windows, masonry face and sheet plotted on a system of stainless steel brackets. Roofing of buildings is done running flat roofs, the roofing of the atrium serves as a walkable roof. The garage is designed bearing slab plate fitted topping for added durability. Internal Partition Walls and walls are made of aerated concrete blocks. Thesis deals with construction technological preparations for the construction and contains a technical report, coordinating the situation buildings with wider relationships routes, time and financial plan, study the implementation of the main stages, the project site equipment, design tools, technological regulation, inspection and test plan, itemized budget, comparing two designs rough superstructure and appropriate drawings.

The subject of this master’s thesis is a solution of chosen parts of building construction project. The project solves industrial hall that contains productions and administrative space. This thesis includes technological regulations for substructure, study of performing the main technological stages, design of using machines, checking and testing plans. Other phrases parts are time schedules, budget, calculations, design of site equipment including engineering report and report for performing access road. Starting materials, which were used for this thesis, were engineering report also including working drawings.

This thesis highlights a divergent mitochondrial intermembrane assembly pathway in the parasitic protist Trypanosoma brucei. A comparative genomic study reveals the connection of Erv1 with the cytosolic iron-sulfur protein assembly (CIA) pathway in trypanosomatids. Further, the CIA machinery of T. brucei has been described using RNAi interference and other biochemical and complementation assays. Finally, part of the divergent CIA machinery has been identified in the human intestinal pathogen Giardia intestinalis by means of complementation assays in T. brucei.

Human cytosolic monothiolglutaredoxin-3 (GLRX3) is a protein essential for the maturation of cytosolic [4Fe−4S] proteins. We show here that dimeric cluster-bridged GLRX3 transfers its [2Fe−2S]2+ clusters to the human P-loop NTPase NUBP1, an essential early component of the cytosolic iron−sulfur assembly (CIA) machinery. Specifically, we observed that [2Fe−2S]2+ clusters are transferred from GLRX3 to monomeric apo NUBP1 and reductively coupled to form [4Fe−4S]2+ clusters on both N-terminal CX13CX2CX5C and C-terminal CPXC motifs of NUBP1 in the presence of glutathione that acts as a reductant. In this process, cluster binding to the C-terminal motif of NUBP1 promotes protein dimerization, while cluster binding to the N-terminal motif does not affect the quaternary structure of NUBP1. The cluster transfer/assembly process is not complete on both N- and C-terminal motifs and indeed requires a reductant stronger than GSH to increase its efficiency. We also showed that the [4Fe−4S]2+ cluster formed at the N-terminal motif of NUBP1 is tightly bound, while the [4Fe−4S]2+ cluster bound at the C-terminal motif is labile. Our findings provide the first evidence for GLRX3 acting as a [2Fe−2S] cluster chaperone in the early stage of the CIA machinery. Iron-sulfur (Fe-S) clusters are among the most versatile cofactors in biology. Although Fe-S clusters formation can be achieved spontaneously in vitro with inorganic iron and sulfur sources, the in vivo behaviour is more complex and requires the so-called Fe-S biogenesis machineries. In the cytosol, the biogenesis of Fe-S proteins is assisted by the cytosolic Fe-S protein assembly machinery, which comprises at least thirteen known proteins, among which there are human ORAOV1 and YAE1. A hetero-complex formed by the two latter proteins facilitates Fe-S cluster insertion in the human ABC protein ABCE1 within a chain of binding events that are still not well understood. In the present work, ORAOV1 and the YAE1-ORAOV1 complex were produced and their structural and cluster binding properties spectroscopically investigated. It resulted that both ORAOV1 and the YAE1-ORAOV1 complex are characterized by well-structured alpha-helical regions and by unstructured, flexible regions, and are both able to bind a [4Fe-4S]2+ cluster. Bioinformatics and site-directed mutagenesis studies indicated that ORAOV1, and not YAE1, is the protein involved in [4Fe-4S]2+ cluster binding in the hetero-complex. ORAOV1 has indeed a conserved cluster-binding motif able to coordinate a [4Fe-4S] cluster. Overall, our data suggested that the YAE1-ORAOV1 complex might actively participate in the Fe-S cluster insertion into ABCE1 thanks to the [4Fe-4S]2+ cluster binding properties of ORAOV1.

碩士
國立中正大學
機械系
91
This thesis depends on some theories and provides the available schema on Remedial Instructions, in which Computer Assisted Instruction (CAI) shows the basic points of teaching materials on scheduled lessons. As the principle of Machine Elements courses, in vocational high school, the use of Formative Evaluation in CAI courses schema through Analytic Hierarchy Process (AHP), will gain the weights of all points in this schema, and this will become the principle of how to design the teaching materials. After finishing these teaching materials, it’s necessary to use Summative Evaluation to ensure the quality of these teaching materials. These teaching materials include the method of the World Wide Web (WWW). It’s able to help tutees get knowledge through Internet. Through Behaviorism , Cognitive theory, Social learning theory and Game theory on CAI, this thesis will explain that schema of CAI teaching materials theory includes such teaching method as tests, tutorials, simulations and gaming. The method of making teaching materials is basic to these theories, and it is divided into 5 systems: teaching unit, learning on line, communication, help and system management. It’s found that it will improve the tutees’ abilities of memory, active learning and problem solving.

Although cloud network flows are similar to conventional network flows in many ways, there are some major differences in their statistical characteristics. However, due to the lack of adequate public datasets, the proponents of many existing cloud intrusion detection systems (IDS) have relied on the DARPA dataset which was obtained by simulating a conventional network environment. In the current thesis, we show empirically that the DARPA dataset by failing to meet important statistical characteristics of real-world cloud traffic data centers is inadequate for evaluating cloud IDS. We analyze, as an alternative, a new public dataset collected through cooperation between our lab and a non-profit cloud service provider, which contains benign data and a wide variety of attack data. Furthermore, we present a new hypervisor-based cloud IDS using an instance-oriented feature model and supervised machine learning techniques. We investigate 3 different classifiers: Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) algorithms. Experimental evaluation on a diversified dataset yields a detection rate of 92.08% and a false-positive rate of 1.49% for the random forest, the best performing of the three classifiers.
Graduate