Dissertations / Theses on the topic 'Mood detection'
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Diot, Steven. "La méthode MOOD Multi-dimensional Optimal Order Detection : la première approche a posteriori aux méthodes volumes finis d'ordre très élevé." Toulouse 3, 2012. http://thesesups.ups-tlse.fr/1736/.
Full textWe introduce and develop in this thesis a new type of very high-order Finite Volume methods for hyperbolic systems of conservation laws. This method, named MOOD for Multidimensional Optimal Order Detection, provides very accurate simulations for two- and three-dimensional unstructured meshes. The design of such a method is made delicate by the emergence of solution singularities (shocks, contact discontinuities) for which spurious phenomena (oscillations, non-physical values creation, etc. ) are generated by the high-order approximation. The originality of this work lies in a new treatment for theses problems. Contrary to classical methods which try to control such undesirable phenomena through an a priori limitation, we propose an a posteriori treatment approach based on a local scheme order decrementing. In particular, we show that this concept easily provides properties that are usually difficult to prove in a multidimensional unstructured framework (positivity-preserving for instance). The robustness and quality of the MOOD method have been numerically proved through numerous test cases in 2D and 3D, and a significant reduction of computational resources (CPU and memory storage) needed to get state-of-the-art results has been shown
East, Rebekah Psychology Faculty of Science UNSW. "Happy and gullible, sad and wise? Mood effects on factual and interpersonal skepticism." Awarded by:University of New South Wales. Psychology, 2006. http://handle.unsw.edu.au/1959.4/24371.
Full textHansen, Beau Tanana. "Proteomics Methods for Detection of Modified Peptides." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1083%5F1%5Fm.pdf&type=application/pdf.
Full textKim, Yumi. "Chasing the moon /." Online version of thesis, 2009. http://hdl.handle.net/1850/8691.
Full textBlanco-Meneses, Monica. "Population Biology and Detection of the Tobacco Blue Mold Pathogen, Peronospora tabacina." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-03092009-143022/.
Full textAlolaywi, Haidar. "Electrochemical MoOx/Carbon Nanocomposite Gas Sensor for Formaldehyde Detection at Room Temperature." University of Toledo / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1596821142716346.
Full textBunton, Penelope Jessica Claudia. "An evaluation of screening measures for detecting low mood and cognitive impairment in acute stroke patients." Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589800.
Full textKidron, Matias. "Detecting minimoons in the Earth-Moon system with microsatellite compatible technologies." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-247623.
Full textMinimånar, jordens temporärt fångade satelliter, är utmärkta kandidater för demonstra-tioner av asteroidbrytningteknologi och för allmänna asteroidstudier på grund av deras relativt långa vistelse i närheten av jorden. I den här avhandlingen, diskuteras mikrosatellit kompatibla övervakningsteknologier och därtill undersökes lämpligheten av olika platser i jord-måne-systemet för övervakning av minimånar. Det här görs för att ska↵a kunskap om vilken typ av omloppsbana en mikrosatellit för minimåneövervakning kunde placeras på.Den momentana synliga fraktionen av den jämviktstillstånd minimånepopulationen är den merit som används vid jämförelse av övervakningssystem och platser i rymden. Den synliga fraktionen uppskattas genom att simulera fördelningen av synliga minimånar i skyplanet. Föremålen i det simulerade skyplanet är syntetiska minimånar, vilka genereras i stort antal enligt den geocentriska 6-dimensionella-uppehållstid-distributionen av minimånarna, och sålunda kan värdena i den diskretiserade skyplanfördelningen betraktas som momentana sannolikheter för att innehålla en observerbar minimåne inom det specifiserade ecliptiska latitudinella-longitudinella området.De synliga fraktionerna beräknas för olika platser med det givna övervakningssystemets parametrar. Flera mikrosatellit-kompatibla övervakningsteknologikonfigurationer undersöks, såväl som e↵ekterna av begränsande magnitud och maximal vinkelhastighet. Minimånar är dunkla och snabba rörliga föremål, och således är användningen av synthetic tracking fördelaktig och övervägd. Endast övervakningssystem som fungerar i visuellt bandmed en bländarstorlek mindre än 0,30 m och minimånar med en diameter större än 0,50m beaktas i simuleringarna.
Maurer, Andreas. "Methods for Multisensory Detection of Light Phenomena on the Moon as a Payload Concept for a Nanosatellite Mission." Thesis, Luleå tekniska universitet, Rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80785.
Full textHallakoun, N., (许偲艺) S. Xu, D. Maoz, T. R. Marsh, V. D. Ivanov, V. S. Dhillon, M. C. P. Bours, et al. "Once in a blue moon: detection of ‘bluing' during debris transits in the white dwarf WD 1145+017." OXFORD UNIV PRESS, 2017. http://hdl.handle.net/10150/625505.
Full textFoley, Brian M. "A System for Detecting the Position of a Molten Aluminum Metal-Front within a Precision Sand Mold." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-theses/50.
Full textPapireddy, Vinayaka Poornachandra [Verfasser], J. Michael [Akademischer Betreuer] Vellekoop, J. Michael [Gutachter] Vellekoop, and Bernhard [Gutachter] Jacoby. "Sensor System for Autonomous Detection of Mold Spore Contamination / Poornachandra Papireddy Vinayaka ; Gutachter: Michael Vellekoop J., Bernhard Jacoby ; Betreuer: Michael Vellekoop J." Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/1179349539/34.
Full textPark, Changwon. "Characterization of four septin genes, and detection of genetic interactions between WdCDC10 and chitin synthase genes during yeast budding in the polymorphic mold, Wangiella ( Exophiala) dermatitidis." Thesis, The University of Texas at Austin, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3684368.
Full textSeptins are a highly conserved family of eukaryotic proteins having significant homology within and among species. In the budding yeast, Saccharomyces cerevisiae, a septin-based hierarchy of proteins is required to localize chitin in the bud neck prior to septum formation. However, this process has not been clarified in a filamentous, conidiogenous fungus capable of yeast growth, such as Wangiella dermatitidis, a polymorphic agent of human phaeohyphomycosis. Prior studies of this melanized mold showed that some chitin synthase mutants (wdchsa??) have defects in yeast septum formation, suggesting that the septins of W. dermatitidis might functionally associate with some of its chitin synthases (WdChsp). To test this hypothesis, four vegetative septin homologs of S. cerevisiae were cloned from W. dermatitidis and designated WdCDC3, WdCDC10, WdCDC11, and WdCDC12. Of the four, only WdCDC3 functionally complemented completely a strain of S. cerevisiae with a ts mutation in the corresponding gene, although WdCDC12 did so partially. Functional characterizations by mutagenesis of the four W. dermatitidis septin genes revealed that resulting mutants (wdcdca??) each had unique defects in yeast growth and morphology, indicating that each septin carried out a distinct function. Furthermore, when a wdcdc10a?? mutation was introduced into five different wdchsa?? strains, weak genetic interactions were detected between WdCDC10 and WdCHS3 and WdCHS4, and a strong interaction between WdCDC10 and WdCHS5. Cytological studies showed that WdChs5p was mislocalized in some septin mutants, including wdcdc10a??. These results confirmed that in W. dermatitidis septins are important for proper cellular morphogenesis, cytokinesis, and especially septum formation through associations with some chitin synthases.
Grabicoski, Edilaine Mauricia Gelinski. "CARACTERIZAÇÃO MORFOLÓGICA E PATOGÊNICA DE ISOLADOS DE Sclerotinia sclerotiorum (Lib.) de Bary E DETECÇÃO EM SEMENTES DE SOJA." UNIVERSIDADE ESTADUAL DE PONTA GROSSA, 2012. http://tede2.uepg.br/jspui/handle/prefix/2219.
Full textFundação Araucária de Apoio ao Desenvolvimento Científico e Tecnológico do Paraná
The white mold disease, caused by the fungus Sclerotinia sclerotiorum (Lib.) de Bary, responsible for large losses in soybean (Glycine max (L.) Merrill). The pathogen has more than 400 hosts and presents the formation of a resistance structure (sclerotia), difficulting the disease control, thus increasing the importance of the pathogen in Brazilian agriculture. The seeds are the main spreading disease means, a quickly and correct presence detection of the pathogen is important to control the white mold, especially for non-infested areas by the pathogen. In this study, 57 S. sclerotiorum isolates were morphological and pathologically characterized to assess variations within the specie. Also was developed a method to detect the pathogen directly from seed-soak liquor of infected soybean seeds, through PCR. The proposed method was compared to the traditional recommended methods. The pathogen isolates showed some morphological variations among themselves, as the number and weight of the formed sclerotia. Pathologically, were observed two and seven pathogenic levels second, respectively, the soybean inoculation on the stem and on the detached trifoliate leaves. By the detection method, it was possible to detect one seed artificially contaminated in the sample with 400 total seeds. In naturally contaminated seeds, was possible to detected the pathogen presence in a sample that, according to the method of incubation on paper roll and on Neon-S medium, respectively, presented 1 and 3 seeds contaminated in four hundred seeds. The proposed methodology is promising for the detection of S. sclerotiorum, however, requires optimization because many false negative results were obtained, mainly due to substances released by the seeds that inhibited the PCR reaction. The use of filter in the samples has presented as a possible tool to overcome the PCR inhibitors. For the optimization of the method, increase the size of seed samples, use of filters, others techniques such as nested PCR, Real-Time PCR and DNA probes can help overcome these difficulties.
O Mofo branco, doença causada pelo fungo Sclerotinia sclerotiorum (Lib.) de Bary, vem causando grandes prejuízos na cultura da soja (Glycine max (L.) Merrill) e, por apresentar mais de 400 hospedeiros e a formação de uma estrutura de resistência (escleródios), o seu controle torna-se difícil, aumentando a importância do patógeno para a agricultura brasileira. As sementes são o principal meio de disseminação da doença, detectar rápido e corretamente a presença do patógeno nas mesmas é importante no controle do Mofo branco, principalmente, para não infestar áreas isentas do patógeno. No presente trabalho, 57 isolados de S. sclerotiorum foram caracterizados morfológica e patologicamente para avaliar variações dentro da espécie. Também se desenvolveu uma metodologia de detecção do patógeno em sementes de soja embebidas, através de PCR diretamente do líquido de embebição das mesmas. Comparou-se a metodologia proposta com as tradicionais recomendadas para o patógeno. Os isolados do patógeno apresentaram algumas variações morfológicas entre si, como quantidade e peso dos escleródios formados. Patologicamente, foram verificados dois e sete níveis de patogenicidade segundo, respectivamente, a inoculação dos isolados na haste e em trifólios destacados de plantas de soja. Diretamente a partir do líquido de embebição das sementes, foi possível detectar uma semente artificialmente contaminada em 400 sementes totais. Em sementes naturalmente contaminadas, detectou-se a presença do patógeno em amostra que, segundo o método de incubação em rolo de papel e em Neon-S apresentava, respectivamente, 1 e 3 sementes contaminadas em quatrocentas totais. A metodologia proposta é promissora para a detecção de S. sclerotiorum, no entanto, necessita de otimização, pois muitos resultados falsos-negativos foram obtidos, principalmente devido a substâncias liberadas pelas próprias sementes que inibiram a reação de PCR. A utilização de um filtro nas amostras apresentou-se como uma possível ferramenta para driblar os inibidores de PCR. Para a otimização do método, técnicas como Nested-PCR, Real-Time PCR, utilização de sondas de DNA, aumento no tamanho de amostras de sementes e a utilização dos filtros podem ajudar a superar essas dificuldades.
Grabicoski, Edilaine Mauricia Gelinski. "OTIMIZAÇÃO E VALIDAÇÃO DE MÉTODOS DE DETECÇÃO DE Sclerotinia sclerotiorum EM SEMENTES DE SOJA E CANOLA, BASEADOS NA AMPLIFICAÇÃO LAMP." UNIVERSIDADE ESTADUAL DE PONTA GROSSA, 2016. http://tede2.uepg.br/jspui/handle/prefix/2282.
Full textFundação Araucária de Apoio ao Desenvolvimento Científico e Tecnológico do Paraná
Sclerotinia sclerotiorum infect many plants, including crops of great economic importance as soybeans (Glycine max) and oilseed rape (Brassica sp.), responsible for great losses. The plant disease control is the most important practical objective of plant pathology, but the correct and rapid diagnosis are essential to define strategies for the diseases management. Molecular techniques are able to amplify specific fragments from small amounts of genetic material and powerful tools widely used in various areas, including the phytopathological diagnosis. Several techniques have been studied and designed for the amplification of nucleic acids, including the LAMP (Loop-mediated isothermal amplification), which has high specificity, sensitivity and is fast. The aim of this study was to develop and optimize a specific molecular test for S. sclerotiorum by LAMP, as well as its validation to oilseed pare and soybean seeds samples. A set of six primers was designed and evaluated for S. sclerotiorum sensitivity and specificity detection. The composition of the LAMP reaction was enhanced for real-time (SS-qLAMP) and direct analysis (SS-cLAMP). The DNA from 57 isolates of S. sclerotiorum, DNA from several other plant pathogens and DNA from different cultures was tested. The DNA of all isolates of S. sclerotiorum were detected but no the other DNA samples. When testing the limit of detection of reactions, a single copy detections was suggested. By SS-qLAMP two curves were generated which can be used to estimate the amount of mycelium and DNA of S. sclerotiorum present in the samples analyzed. Bothe developed tests (SS-qLAMP and SS-cLAMP) can be applied to several purposes, such as detection of the pathogen in plant, spore traps, soil and seeds samples. Using seed samples with different contamination level, the test was optimized for canola and soybean seeds, SS-qLAMP(Canola) and SS-qLAMP(Soybean), respectively, detecting the presence of the pathogen in samples up to 0.13% and 0.03% naturally contaminated for canola and soybean, respectively, and was able to detect contamination in samples not contaminated according incubation-based methods. The time require for the test was 4h and 30 minutes and 2 hours and 50 minutes for canola and soybeans, respectively, with no needs of large space for samples incubation, specialized analysts and able to analyzed many samples simultaneously. The proposed method SS-qLAMP was well-validated according the ISTA (International Seed Testing Association) rules to oilseed-rape and soybean seed samples. x
Sclerotinia sclerotiorum é um fungo que pode atacar diversas espécies vegetais, incluído culturas de grande importância econômica como soja (Glycine max) e canola (Brassica sp.), causando grandes prejuízos para as mesmas. O controle de doenças de plantas é o mais importante objetivo prático da Fitopatologia, mas, a correta e rápida diagnose da doença são pré-requisitos indispensáveis para definir as medidas para o manejo das mesmas. Técnicas moleculares capazes de amplificar fragmentos específicos a partir de pequenas quantidades de material genético são poderosas ferramentas amplamente utilizadas em diversas áreas, incluindo o diagnóstico fitopatológico. Diversas técnicas têm sido estudadas e criadas para a amplificação de ácidos nucleicos, entre elas a LAMP (Amplificação isotérmica mediada por “loops”), que apresenta alta especificidade, sensibilidade e é rápida. O objetivo do presente estudo foi desenvolver e otimizar um teste molecular específico para S. sclerotiorum a base de LAMP, com obtenção de resultados em tempo real e quantitativos (qLAMP) e análise visual direta de resultados (cLAMP), assim como a validação do mesmo para ser utilizado na análise de amostras de sementes de canola e soja. Um conjunto de seis primers foi desenhado e avaliado quanto a sensibilidade e especificidade de detecção de S. sclerotiorum. A composição da reação de LAMP foi otimizada quanto a concentração de diversos componentes tanto para a análise em tempo real como direta, compondo, respectivamente as reações de SS-qLAMP e SS-cLAMP, conforme necessário. Testou-se o DNA de 57 isolados de S. sclerotiorum, o DNA de diversos outros fitopatógenos e o DNA de diversas culturas. O DNA de todos os isolados de S. sclerotiorum foram detectados mas não o de outros fitopatógenos e de plantas. Ao testar o limite de detecção das reações, não houve um limite de detecção, sugerindo que a presença de qualquer molécula de DNA alvo seria detectada. Pelo método quantitativo foi possível gerar duas curvas pelas quais pode-se estimar a quantidade de micélio e de DNA de S. sclerotiorum presente na amostra analisada. Desenvolveu-se um teste específico para S. sclerotiorum a base de LAMP, denominada SS-LAMP que pode ser aplicado em diversos casos, como a detecção do patógeno em amostras de plantas, armadilhas de esporos, de solo e sementes. Otimizou-se o teste SS-LAMP para sementes de canola e soja, SS-qLAMP(Canola) e SS-qLAMP(Soja), respectivamente, detectando-se a presença do patógeno em amostras com até 0,13% e 0,03% de contaminação natural, para canola e soja, respectivamente, além da detecção em amostras que os métodos tradicionais não detectaram. O tempo total do método foi de 4h e 30 minutos para canola e 2h e 50 minutos para soja, sem a necessidade de amplo espaço para incubação das amostras, pessoal especializado para análise e com a possibilidade de diversas amostras serem analisadas concomitantemente. Assim validou-se o método proposto SS-qLAMP(Soja) segundo as regras da ISTA (International Seed Testing Association – Associação Internacional de Análise de Sementes).
Simard, Bilodeau Vincent. "Navigation autonome par imagerie de terrain pour l'exploration planétaire." Thèse, Université de Sherbrooke, 2015. http://hdl.handle.net/11143/7964.
Full textRésumé: L’intérêt des principales agences spatiales envers les technologies basées sur la vision artificielle ne cesse de croître. En effet, les caméras offrent une solution efficace pour répondre aux exigences de performance, toujours plus élevées, des missions spatiales. De surcroît, ces capteurs sont multi-usages, légers, éprouvés et peu coûteux. Plusieurs chercheurs dans le domaine de la vision artificielle se concentrent actuellement sur les systèmes autonomes pour l’atterrissage de précision sur des planètes et sur les missions d’échantillonnage sur des astéroïdes. En effet, sans système de positionnement global « Global Positioning System (GPS) » ou de balises radio autour de ces corps célestes, la navigation de précision est une tâche très complexe. La plupart des systèmes de navigation sont basés seulement sur l’intégration des mesures provenant d’une centrale inertielle. Cette stratégie peut être utilisée pour suivre les mouvements du véhicule spatial seulement sur une courte durée, car les données estimées divergent rapidement. Dans le but d’améliorer la précision de la navigation, plusieurs auteurs ont proposé de fusionner les mesures provenant de la centrale inertielle avec des mesures d’images du terrain. Les premiers algorithmes de navigation utilisant l’imagerie du terrain qui ont été proposés reposent sur l’extraction et le suivi de traits caractéristiques dans une séquence d’images prises en temps réel pendant les phases d’orbite et/ou d’atterrissage de la mission. Dans ce cas, les traits caractéristiques de l’image correspondent à des pixels ayant une forte probabilité d’être reconnus entre des images prises avec différentes positions de caméra. En détectant et en suivant ces traits caractéristiques, le déplacement relatif du véhicule (la vitesse) peut être déterminé. Ces techniques, nommées navigation relative, utilisent des algorithmes de traitement d’images robustes, faciles à implémenter et bien développés. Bien que cette technologie a été éprouvée sur du matériel de qualité spatiale, le gain en précision demeure limité étant donné que la position absolue du véhicule n’est pas observable dans les mesures extraites de l’image. Les techniques de navigation basées sur la vision artificielle actuellement étudiées consistent à identifier des traits caractéristiques dans l’image pour les apparier avec ceux contenus dans une base de données géo-référencées de manière à fournir une mesure de position absolue au filtre de navigation. Cependant, cette technique, nommée navigation absolue, implique l’utilisation d’algorithmes de traitement d’images très complexes souffrant pour le moment des problèmes de robustesse. En effet, ces algorithmes dépendent souvent de la position et de l’attitude du véhicule. Ils sont très sensibles aux conditions d’illuminations (l’élévation et l’azimut du Soleil présents lorsque la base de données géo-référencée est construite doit être similaire à ceux observés pendant la mission). Ils sont grandement influencés par le bruit dans l’image et enfin ils supportent mal les multiples variétés de terrain rencontrées pendant la même mission (le véhicule peut survoler autant des zones de plaine que des régions montagneuses, les images peuvent contenir des vieux cratères avec des contours flous aussi bien que des cratères jeunes avec des contours bien définis, etc.). De plus, actuellement, aucune expérimentation en temps réel et sur du matériel de qualité spatiale n’a été réalisée pour démontrer l’applicabilité de cette technologie pour les missions spatiales. Par conséquent, l’objectif principal de ce projet de recherche est de développer un système de navigation autonome par imagerie du terrain qui fournit la position absolue et la vitesse relative au terrain d’un véhicule spatial pendant les opérations à basse altitude sur une planète. Les contributions de ce travail sont : (1) la définition d’une mission de référence, (2) l’avancement de la théorie de la navigation par imagerie du terrain (algorithmes de traitement d’images et estimation d’états) et (3) implémentation pratique de cette technologie.
Almeida, Pedro Machado de. "Modelagem e controle de conversores fonte de tensão utilizados em sistemas de geração fotovoltaicos conectados à rede elétrica de distribuição." Universidade Federal de Juiz de Fora (UFJF), 2011. https://repositorio.ufjf.br/jspui/handle/ufjf/4134.
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Esta dissertação apresenta uma estratégia de controle para sistemas de geração fotovoltaicos, de único estágio, trifásicos, conectados à rede elétrica de distribuição. São desenvolvidos modelos matemáticos para representar as características dinâmicas dos painéis fotovoltaicos, do conversor fonte de tensão (VSC -“Voltage Source Converter”) e da rede de distribuição. A modelagem do sistema de geração disperso (SGD) é feita no sistema de coordenadas síncrono (dq), fornecendo um sistema de equações diferenciais que pode ser usado para descrever o comportamento dinâmico do sistema quando as tensões da rede estão equilibradas ou desequilibradas. O conversor é controlado no modo de corrente, através da estratégia de modulação vetorial (Space Vector Modulation - SVM). São projetadas duas malhas de controle em cascata para controlar o conversor estático. A malha interna controla a corrente injetada na rede enquanto que a externa controla a tensão no barramento CC do conversor. O controle da tensão CC permite rastrear o ponto de máxima potência do painel PV além de controlar a quantidade de potência ativa injetada na rede CA. Um método ativo de detecção de ilhamento baseado na injeção de corrente de sequência negativa é incorporado ao sistema de controle. Resultados de simulações digitais obtidos com o programa ATP (Alternative Transient Program ) são utilizados para validar os modelos matemáticos e as estratégias de controle. Finalmente, um protótipo experimental de pequena escala é montado em laboratório. Todo o sistema de controle do protótipo experimental foi implementado no DSP TMS320F28212. Os resultados obtidos demonstram o funcionamento do sistema e podem ser usados para validar a estratégia de controle utilizada.
This dissertation presents a control strategy for a single-stage, three-phase, photovoltaic systems to be connected to a distribution network. Mathematical models are developed to represent the dynamic characteristics of the photovoltaic panels, the voltage-source converter (VSC) and the distribution network. The modeling of the dispersed generation system (DGS) is done in the synchronous reference frame (dq), providing a system of differential equations that describes the dynamic behavior of the system when the network voltages are balanced or unbalanced. The converter is controlled in current mode through the space vector modulation (SVM) strategy. Two control loops are designed to control the static converter. The inner loop controls the injected current into the network while the external loop controls the converter DC bus voltage. The DC voltage regulator allows to track the PV maximum power point and to control the active power injected into the AC grid. An active islanding detection method based on negative-sequence current injection is incorporated into the control system. Digital simulations results obtained with Alternative Transients Program (ATP) is used to validate the mathematical models and the control strategies. Finally, a small-scale experimental prototype is implemented in the laboratory. The whole control system of the experimental prototype was programmed in DSP TMS320F2812 of Texas Instruments. The results demonstrate that the operation of the system can be used to validate the applied control strategy.
Chia-HuiChou and 周佳惠. "Mood Disorder Detection from Speech Using LSTM-Based Emotion Profile Tracking and Mood Verification." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/kp29q6.
Full text國立成功大學
資訊工程學系
104
In mental health disorder, Unipolar Depression (UD) and Bipolar Disorder (BD) have become the most common mental illness. A large portion of the BD patients is misdiagnosed as UD on initial presentation. As speech is the most natural way to express emotion, this thesis focus on tracking emotion profile of speech to build a short-term mood disorder detector for diagnosis assistance. This thesis proposes an approach to short-term detection of mood disorder based on the elicited speech responses. At first, eliciting emotional videos are used to elicit the patients’ emotions. Speech responses of the patients are collected through the interviews by a clinician after watching each of six emotional video clips. As Deep Scattering Spectrum (DSS) can obtain more detailed energy distributions in frequency domain than the Low Level Descriptors (LLDs), this study combines LLDs and DSS as the speech features. A domain adaptation method combining hierarchical spectral clustering (HSC) algorithm and denoising autoencoder is proposed to adapt the emotion database to the mood disorder database to alleviate the data bias problem in the emotion space. The autoencoders is then adopted to extract the bottleneck features for dimensionality reduction. Hidden Markov model (HMM) is applied to characterize the trajectory of emotion profiles. Finally, HMM-based verification is used to improve the detection performance of mood disorders. This study collected the elicited emotional speech data from 15 BDs, 15 UDs and 15 healthy controls. Five-fold cross validation scheme was employed for evaluation. Experimental results show that the proposed method achieved a detection accuracy of 73.33%, improving by 18%, compared to the SVM-based method. In the future, the patient’s personality, response context and facial images can be considered for obtaining a better performance.
Hsiang-ChiFu and 傅翔祺. "Real Mood Detection Using Denoising Autoencoder and LSTM." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/h27pn7.
Full text國立成功大學
資訊工程學系
104
In a rapidly changing social environment, emotions are more and more difficult to handle for human beings. Sometimes people do not even know that they have negative emotions. As a result, the accumulation of negative emotions become a mental illness. Thus, it is essential to develop an emotion tracking system to help users manage their emotions. In current study, an extended subjective self-report method is generally used for measuring emotions. Even though it is commonly accepted that the emotion perceived by the listener is close to the intended emotion conveyed by the speaker, several research indicated that there still remains a mismatch between them. In addition, the individuals with different personalities generally have different expressed emotions. Based on this investigation, this thesis proposes an emotion conversion model which characterizes the relationship between the perceived emotion and the expressed emotion of the user for a specific personality. Emotion conversion from perceived to expressed emotions is applied based on the personality traits of the user. This thesis considers mood swing as a long-term accumulation of emotions. A database containing user’s long-term speech data and mood annotation is collected. This database is used for constructing the temporal relationships between emotion and mood. In order to reflect the real mood from people, an SVM-based emotion model is developed to generate multiple probabilistic class labels. Moreover, a Gaussian distribution is built to generate noisy data since there is a difference between expressed and perceived emotions. The input is the expressed emotion value contaminated by the generated noise and the target is the expressed emotion for denoising autoencoder (DAE) training. Finally, for modeling the temporal fluctuation of emotions, a long short-term memory (LSTM)-based mood model is constructed for mood detection. In mood detection experiments, the mood database was provided by 10 participants. There were 104 positive moods and 96 negative moods. Leave-one-speaker-out cross validation was employed for evaluation. Experimental results show that the proposed method achieved a detection accuracy of 64.5%, which improves 5%, comparing to the HMM-based method. In the future, the tracking of the dialog content and blog of the users can be applied to obtain a better performance.
Chen, Yu-Hao. "Music Mood and Video Tempo based Movie Emotional Event Detection." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-0607200515433800.
Full textChen, Yu-Hao, and 陳宇皓. "Music Mood and Video Tempo based Movie Emotional Event Detection." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/82729529742235634862.
Full text國立臺灣大學
資訊工程學研究所
93
Movie is one of the most important entertainments in the history of mankind. With the development of content digitalization, more and more movie viewers would like to choose parts of movies according to their favorites. But as interests of viewers are various, it''s difficult to deal with their requirements by only one principle. In this thesis, we develop modules for detecting video tempo and music mood, and present three applications about movie analysis. Music mood is categorized to high-tension and low-tension using timbre, intensity and rhythm, and each shot of video is given a tempo value by shot length and motion activity. After applying these two modules we recognize mood of music and develop three applications: music event detection, emotional event detection, and Original Sound Tracks (OST) visualization. Subjective tests show that the mean opinion scores of the experimental results are good.
Lin, Yi-Sin, and 林怡欣. "A Research on Music Mood Detection in Digital Music Library." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/05266042755685502461.
Full text國立交通大學
資訊管理研究所
99
Nowadays, there is much music in our daily life, but it is hard to find suitable ones as we would like to make use of them. For example, if we try to find romantic music for wedding, relieved music for therapy, where we can find it? Moreover, music mood only is judged by human experts in present. Although these experts develop many digital music libraries websites such as Allmusic.com to store music by moods, there has not been any efficiency system to classify music mood in automatic classifier so far. In fact, music is everywhere, not only human produces them but also Mother Nature generates them as well. Therefore, how can we deal with such great amount of music information? In this thesis, we regard predicting music mood as our goal. With the digital music library - Allmusic.com already classified music mood, we extracted English song lyrics in it. We calculate every token’s Log Likelihood Ratio after tokenization, removing stop-words and porter stemming. Further, we select out feature tokens as our classifying rule. Finally, we put them into LibSVM to build model, which tries to predict music mood of new added in data. Findings show that the accuracy only depends on lyrics is not good enough, only 50% predicting correct. Besides, we find mood Happy, Fiery and Drama are easy to detect, it perhaps that their emotional terms are clear. On the other hand, mood Wry, Literate, Ironic and Silly are hard to detect.
Hsiao-HsuanYen and 顏孝軒. "Detection of Mood Disorder using Modulation Spectrum of Facial Action Unit Profiles." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/21099743366809775413.
Full text國立成功大學
資訊工程學系
103
Facial expression is a direct and natural way for affective expression. In the field of affective computing, recognition of facial expression is an important and popular research topic. In mood disorder diagnosis, a high percentage of bipolar disorder (BD) patients are initially misdiagnosed as having unipolar depression (UD). This misdiagnosis carries significant negative consequences for the treatment of the BD patients. Therefore, it is crucial to establish an accurate distinction between BD and UD in order to make an accurate and early diagnosis, leading to improvements in treatment and course of illness. The research goal of this thesis is to collect the facial expression of the patients with mood disorder when they were watching video clips for emotion elicitation. The features extracted from the elicited facial expressions are used for the detection of BD and UD. This thesis focuses on detecting the difference in facial expressions among the BD patients, UD patients and healthy people responding to emotional stimuli. In this study, first, the subjects are elicited by emotional video clips, and the videos with facial expression of the subjects are recorded. The corresponding facial action unit (AU) profiles are obtained using the support vector machines (SVMs) as the facial features. The Modulation Spectrum (MS) characterizing the fluctuation of AU profile sequence over a video segment are further extracted. Finally, a two-layer SVM is constructed for mood disorder detection based on the extracted MSs of the elicited facial expressions in the video segments of the subject. In order to evaluate the proposed method, the video segments from 24 subjects, 8 for BD, 8 for UD and the remaining 8 subjects for the control group were collected at CHI-MEI Hospital, Tainan, Taiwan. K-fold (K=8) cross validation method was performed for evaluation and the detection accuracy achieved 68.3% for mood disorder detection. Compared with the well-known classifiers, such as Gaussian Model and deep neural network (DNN), the experimental results confirmed that our proposed method can achieve the best performance. Furthermore, the AU profiles and MS features are also beneficial to improve mood disorder detection performance.
Fu, Jun-Jie, and 傅俊傑. "Emotion Locus Tracking System for Automatic Mood Detection and Classification of Music Signals." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/00039602831447365345.
Full text國立交通大學
工學院聲音與音樂創意科技碩士學位學程
98
As the technology of artificial intelligence and machine learning develops, people are pursuing some applications to interact with computers in a more humanized and personalized way. In the recent years, affective computing for the content-based information retrieval is a very popular research of both image and sound signals. Using emotions as an index for Music Information Retrieval is also a challenge issue for researchers. Music is always plays an important role in people’s everyday life, whether they had been experienced professional music education or not, all the different kinds of music exactly could arouse and transmit the different emotional responses of human. Although the emotion is a subjective feeling, the same music might bring different emotions to different persons, but in general, there is still a trend of peoples’ emotional responses. Most of the state of art research about music emotion classification or prediction assumes the music is always in a constant emotion or it is in a constant emotion at each possible part. The idea of the system proposed in this paper based on human’s listening processing, the emotion response at an instant of time are primary influenced by the features that you heard in the past few seconds, and the emotion responses will be displayed by the moving dot and it’s trajectory on the Thayer’s emotion plane, this will enhances the listening experiences of listener, finally the trajectory could also be clues for evaluate the average emotion or mood of the music.
Yu-TingKuo and 郭育婷. "Short-Term Detection of Mood Disorder Using Latent Affective Structure Modeling of Speech." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/12584458755523969622.
Full text國立成功大學
資訊工程學系
103
Mood disorders, including unipolar depression (UD) and bipolar disorder (BD), are reported to be the most common mental illness in recent years. In diagnostic evaluation on the outpatients with mood disorder, a high percentage of BD patients are initially misdiagnosed as having UD. This results in significant negative consequences for the treatment of the BD patients. Therefore, it is crucial to establish an accurate distinction between BD and UD in order to make an accurate and early diagnosis, leading to improvements in treatment and course of illness. Given that speech is the most natural way for emotion expression, recognition of emotions in speech could be effectively applied to mood disorder detection. As current research focused on long-term monitoring of the mood disorders, short-term detection which could be used in early detection and intervention and thus reduce the severity of symptoms is desirable. This thesis proposes an approach to short-term detection of mood disorder based on the elicited speech responses. At first, eliciting emotional videos were used to elicit the patients’ emotions. Speech responses of the patients were collected through the interviews by a clinician after watching each of six emotional video clips. The support vector machine (SVM)-based classifier was adopted to obtain emotion profiles for each speech responses. In order to deal with the data bias problem, hierarchical spectral clustering algorithm were employed to adapt the eNTERFACE emotion database to fit the collected mood disorder database. The adapted eNTERFACE emotion data were then fed to the trained autoencoder to reconstruct the eNTERFACE emotion data for SVM-based emotion classifier construction. Finally, based on the emotion profiles generated from the SVM-based emotion classifier, a latent affective structure model (LASM) is proposed to characterize the structural relationship among the speech responses to six emotional videos for mood disorder detection. For system performance evaluation, speech responses were collected from 24 subjects, including 8 UD, 8 BD and 8 healthy people (control group) to construct the CHI-MEI mood database. Eight-fold cross validation was adopted for the following evaluation. Performance evaluation on the LASM-based approaches using autoencoder with different numbers of neurons and layers were conducted. The experimental results show that the proposed LASM-based method achieved 67%, improving by 9% accuracy compared with the commonly used classifiers like SVM and DNN. In future work, it will be helpful to improve system performance by integrating the proposed method with lexical and visual information. Furthermore, the individuality of the patient is also an important factor to be considered in mood disorder detection.
Marcus, Madalyn A. "Predictors of disclosure and detection of mood and anxiety disorders in primary care /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR32009.
Full textTypescript. Includes bibliographical references (leaves 51-63). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR32009
Yuan-RongZeng and 曾苑蓉. "Mood Detection using LSTM-based Fusion of Emotion Expressions from Asynchronous Multimodal Inputs." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/7ag56k.
Full textKun-YiHuang and 黃琨義. "A Study on Emotion Recognition from Elicited Speech Responses for Mood Disorder Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/a2uss7.
Full textAlghowinem, Sharifa. "Multimodal analysis of verbal and nonverbal behaviour on the example of clinical depression." Phd thesis, 2015. http://hdl.handle.net/1885/13868.
Full textHu, Ze Jian, and 胡澤堅. "Studies on detection methods of aflatoxin B1 and commercial mold inhibitors." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/39361118388089923808.
Full textHUANG, SHENG-TSUNG, and 黃聖琮. "Using Artificial Neural Network for TOWA Auto Mold Machine Faults Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/me4qd6.
Full text國立高雄科技大學
電機工程系
107
In the continuous improvement of semiconductor manufacturing process and continuous improvement of quality yield, automated production can no longer meet the high quality requirements of customers; in advanced manufacturing processes, automation equipment needs to have information self-perception, self-decision, self-execution and other functions to achieve wisdom for the Smart Factory modernization needs. In the early 1990s, when semiconductor packaging automation started, the company invested billions of dollars to purchase automated sealing equipment and entered the generation of automated production. The equipment in the 1990s did not have the concept of FDC (Fault Detection and Classification) and function. Although the manufacturing process has PLC (Programmable Logic Controller) automatic control production, and the corresponding recipe (Recipe) and SPC (Statistical Process Control) production chart can record the production quality for different processes, but each device belongs to “Individual automation equipment”. If you upload the data of the sensing components that affect the quality of each device to the cloud, you can optimize the current automated production process of the stand-alone machine by using the sophisticated technology of modern developed cloud technology and big data analysis. In this study, based on the voltage values of the pressure sensor of the device under the same servo control position and condition before the injection molding, and upload the data obtained by the extraction device to the cloud for data collection; The data collects, analyzes, classifies, manages, and plans a health management system, allowing the device to acquire self-awareness, self-decision, and self-execution into intelligent devices and tries to add the data returned by a large number of devices to the Convolutional Neural Network(CNN) training the system that can determine what kind of abnormality the abnormality diagram belongs to and in order to guide the maintenance personnel to repair and reduce inspection.
Niu, Shi-Shiang, and 牛璽翔. "Music Genre Analysis and Retrieval by Detecting mood via Graphical Interface for Android System." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/43179173192600041326.
Full text國立交通大學
工學院聲音與音樂創意科技碩士學位學程
104
This paper proposes a sequential framework that progressively extracts the features of music and characterizes music-induced emotions in a predetermined emotion plane. To build-up the emotion plane, 200 Western pop music clips, including four categories of emotion-predefined music with each group of 50 clips are used to train the system. Five feature sets, including onset intensity, timbre, sound volume, mode, and dissonance are extracted from WAV file to represent the characteristics of a music sample. Support vector machine (SVM) algorithm is used to demarcate the boundaries of “Exuberance”, “Contentment”, “Anxious”, and “Depression” on the Thayer’s emotion plane for trained music data. A graphic interface of emotion arousal locus on two-dimensional model of mood is established in Android System to represent the tracking of dynamic emotional transition caused by music. This system enables user to choose playing clips in mobile device based on identifying music emotions. Furthermore, the graphic interface of emotion can also reveal the emotional distribution of user’s music clips in data bank. The experimental results show the exploiting of human-machine interaction system by the efforts of mathematical analysis, feature extraction and algorithm, classifier training in music data processing. This interactive music selection system provides innovative music tracks playing sequence. With various music genre of different regions in the world, such as the Middle East music, religious music, a customized music emotions coordinate plane based on specified training music samples can be created to show the diversity of music culture.
Hsiang-Wei, Huang, and 黃相瑋. "Development of a Detection and Separation System for Mold Contaminated Flask Plantlet of Phalaenopsis." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/59210049386181424091.
Full text國立屏東科技大學
生物機電工程系所
96
This study aims to develop a system to detect and separate contaminated flask plantlet by machine vision and x-y-z robot arm. The system consists of input, detection, pick-up, output, and central control unit. The detection function is conducted by four CCD cameras with a 4-channel monochrome frame grabber, which fitted to the format of tray type collection (20 flasks in 4×5 format) of flask plantlet. Thus detection unit takes four images of flasks at one time, and totally takes five times to finish one tray of flask plantlet. Once the contaminated flask plantlet was detected, its relative coordinate was labeled and passed to pick-up unit (an x-y-z robot arm). Therefore the contaminated flask plantlet will be removed and the others of non-contaminated plantlets will be delivered to outlet. The whole process was integrated by the central control unit which consists of motion control card, Digital I/O card, conveyers, sensors, and personal computer etc. The separation strategy is performed by Linear Discriminant Analysis (LDA). Experiment results showed that one tray inspection takes one minutes and 40 seconds. The classification rate reached 90% when 27 features of infrared bands (700~870nm) were used in LDA.
Wang, Jer-Ren, and 王哲仁. "Geometrical Feature Detection of Die and Mold Surfaces Using Stereo Vision and Top-View Drawing." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/32489282253978253155.
Full textFu-Hsing, Huang, and 黃富星. "Preliminary Design and Development of Detection and SeparationSystem for Mold Contaminated Plantlets of Phalaenopsis in Flask." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/00438687225161379736.
Full text國立屏東科技大學
機械工程系
94
There are many cycles for sub-culture the Phalaenopsis seedlings in flask during the whole process of tissue culture. During this manual operation process, the contaminants sometimes will contaminate the seedlings in flask due to environment and improper operations. In order to prevent the miss-judges resulted from personnel and to increase the detection efficiency, this study developed a machine vision system that equipped with multispectral image, input unit, output unit and central control unit. The detection program was also developed by C language. Seedlings of Phalaenopsis in flask from the 2nd to 7th day after seedlings were sub-cultured in flask at last stage, were tested in tray-input format. Two shooting strategies: strategy A (one CCD on one flask) and strategy B (two CCD on one flask) were compared to find the detection accuracy. Results showed that strategy A could have the highest accuracy of 87% when the 3rd day samples were tested. The position accuracy set by step motor could have 100% accuracy. On the other hand, in strategy B the best detection accuracy was 78%, and the step motor had 100% accuracy.
Rethoret, Brian. "Fiber optic MOD smart fabric detector arrays for spacecraft applications." 2006. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=441981&T=F.
Full textCHEN, HSIN-HUNG, and 陳信宏. "Mold Flow Analysis for Process Parameters Optimization Design in the Bio-Detection Electrode Film Multi-Component Molding." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n442pm.
Full text南臺科技大學
電機工程系
105
Simulation of plastic injection molding by mold flow analysis, can reduce the number of test mode, shorten the mold design and development time and reduce production costs. With the progress of injection molding technology, bio-detection electrode chip base design widely used plastic injection process, not only increase the convenience of replacement, and significantly reduce the cost of manufacturing products. Therefore, the introduction of mold flow analysis technology in the bio-detection electrode chip multi-material injection molding (Multi-Component Molding) process analysis, multi-material injection molding is a diversified plastic model products, one of the advanced technology, a variety of materials or The colors are molded on the same product. In this study, the raw material electrode is used as the analysis element to explore how to make the maximum quantity of the product at the lowest cost and the shortest time, but still reach the best quality of the measurement level. The electrode piece is divided into the main body of the electrode The effect of molding parameters on the warpage of the modified model was studied by using the MCM process to analyze and import the Taguchi experiment. (Temperature, material temperature, flow rate, cooling time, packing pressure, holding time and runner design) were discussed. The trend of warpage of electrode plate under different molding conditions was discussed. Calculate the experimental prediction data, and find out the optimal conditions for each control change, determine the best combination of process parameters. Key words: Mold flow analysis, electrode piece, Taguchi method, warping, multi-material injection molding
Park, Changwon. "Characterization of four septin genes, and detection of genetic interactions between WdCDC10 and chitin synthase genes during yeast budding in the polymorphic mold, Wangiella (Exophiala) dermatitidis." Thesis, 2007. http://hdl.handle.net/2152/29649.
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