Dissertations / Theses on the topic 'Birds – Identification'
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Fox, Elizabeth J. S. "Call-independent identification in birds." University of Western Australia. School of Animal Biology, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0218.
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[Truncated abstract] The identification of individual animals based on acoustic parameters is a non-invasive method of identifying individuals with considerable advantages over physical marking procedures. One requirement for an effective and practical method of acoustic individual identification is that it is call-independent, i.e. determining identity does not require a comparison of the same call or song type. This means that an individuals identity over time can be determined regardless of any changes to its vocal repertoire, and different individuals can be compared regardless of whether they share calls. Although several methods of acoustic identification currently exist, for example discriminant function analysis or spectrographic cross-correlation, none are call-independent. Call-independent identification has been developed for human speaker recognition, and this thesis aimed to: 1) determine if call-independent identification was possible in birds, using similar methods to those used for human speaker recognition, 2) examine the impact of noise in a recording on the identification accuracy and determine methods of removing the noise and increasing accuracy, 3) provide a comparison of features and classifiers to determine the best method of call-independent identification in birds, and 4) determine the practical limitations of call-independent identification in birds, with respect to increasing population size, changing vocal characteristics over time, using different call categories, and using the method in an open population. ... For classification, Gaussian mixture models and probabilistic neural networks resulted in higher accuracy, and were simpler to use, than multilayer perceptrons. Using the best methods of feature extraction and classification resulted in 86-95.5% identification accuracy for two passerine species, with all individuals correctly identified. A study of the limitations of the technique, in terms of population size, the category of call used, accuracy over time, and the effects of having an open population, found that acoustic identification using perceptual linear prediction and probabilistic neural networks can be used to successfully identify individuals in a population of at least 40 individuals, can be used successfully on call categories other than song, and can be used in open populations in which a new recording may belong to a previously unknown individual. However, identity was only able to be determined with accuracy for less than three months, limiting the current technique to short-term field studies. This thesis demonstrates the application of speaker recognition technology to enable call-independent identification in birds. Call-independence is a pre-requisite for the successful application of acoustic individual identification in many species, especially passerines, but has so far received little attention in the scientific literature. This thesis demonstrates that call-independent identification is possible in birds, as well as testing and finding methods to overcome the practical limitations of the methods, enabling their future use in biological studies, particularly for the conservation of threatened species.
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Lau, Hok-nang, and 劉學能. "Identification of novel coronaviruses in dead birds in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44660108.
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Eakle, Wade Laney 1959. "SONAGRAPHIC IDENTIFICATION OF INDIVIDUAL BREEDING BALD EAGLES (HALIAEETUS LEUCOCEPHALUS) IN ARIZONA." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276369.
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Mead, Reginald Marshall. "A system for automating identification of biological echoes in NEXRAD level II radar data." Thesis, Montana State University, 2009. http://etd.lib.montana.edu/etd/2009/mead/MeadR1209.pdf.
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Since its inception in the mid twentieth century, radar ornithology has provided scientists with new tools for studying the behavior of birds, especially with regards to migration. A number of studies have shown that birds can be detected using a wide variety of radar devices. Generally, these studies have focused on small portable radars that typically have a finer resolution than large weather surveillance radars. Recently, however, a number of researchers have presented qualitative evidence suggesting that birds, or at least migration events, can be identified using large broad scale radars such as the WSR-88D used in the NEXRAD weather surveillance system. This is potentially a boon for ornithologists because NEXRAD data covers a large portion of the country, is constantly being produced, is freely available, and is archived back into the early 1990s. A major obstacle is that identifying birds in NEXRAD data currently requires having a trained technician manually inspect a graphically rendered radar sweep. The immense amount of available data makes manual classification of radar echoes infeasible over any practical span of space or time. In this thesis, a system is presented for automating this process using machine learning techniques. This approach begins with classified training data that has been interpreted by experts or collected from direct observations. The data is preprocessed to ensure quality and to emphasize relevant features. A classifier is then trained using this data and cross validation is used to measure performance. The experiments in this thesis compare neural network, naïve Bayes, and k-nearest neighbor classifiers. Empirical evidence is provided showing that this system can achieve classification accuracies in the 80th to 90th percentile.
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Rogers, Daniel James. "Intraspecific variation in the acoustic signals of birds and one species of frog : implications for the acoustic identification of individuals." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09PH/09phr7251.pdf.
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Bibliography: leaves 203-218. This thesis investigated patterns of intraspecific variation in the acoustic signals of a range of vocal animal species with the ultimate objective of demonstrating vocal individuality in these species, focussing on two methods of quantitative song analysis, discriminant function analysis and cross-correlation analysis. Two species were studied: Bibron's toadlet (Pseudophryne bibronii) and Rufous bristlebird (Dasyornis broadbenti).
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Grando, Angélica Paula. "Utilização de tomografia por ressonância magnética nuclear para sexagem de aves silvestres sem dimorfismo sexual." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/82/82131/tde-07012003-092830/.
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O rápido declínio da vida silvícola do planeta tem levado inúmeros pesquisadores a discutirem diferentes estratégias de conservação, tanto com a manutenção dos animais em seus próprios habitats naturais, como pela propagação em cativeiro. A reprodução de aves em cativeiro é dificultada quando esses animais não apresentam dimorfismo sexual (ausente em muitas espécies, especialmente em psitacídeos), requerendo a realização de métodos de sexagem para a formação de casais. Dessa forma, foi estudado o uso da tomografia por ressonância magnética nuclear (TRMN) para a sexagem de aves silvestres sem dimorfismo sexual, por meio da visualização de seus órgãos reprodutivos. Dez animais da espécie Aratinga leucophthalmus foram anestesiados e submetidos a exames tomográficos. Nas imagens tomográficas adquiridas, pôde-se visualizar os testículos determinando o sexo masculino em aves sexualmente maduras. Entretanto, nas fêmeas, o formato anatômico do ovário esquerdo (provavelmente imaturo) não permitiu que ele fosse caracterizado com precisão por esse método. Para a confirmação dos resultados dos exames tomográficos, foram realizadas análises de polimorfismo de DNA.The fast decline of wild life on the planet has led innumerable researchers to discuss different conservation strategies by both maintaining animals in their own natural habitat and reproducing in captivity. Reproduction in captivity becomes difficult when these animals do not present sexual dimorphism (absent in many species, specially in psittacines), requiring the use of methods for sex identification to form couples. Thus the use of magnetic resonance imaging (MRI) to identify the sex of birds without sexual dimorphism through the visualization of their reproductive organs has been studied. Ten animals of the Aratinga leucophthalmus species were anaesthetized and subject to tomographic exams. In the tomographic images obtained it was possible to visualize the testicles identifying the male sex in sexually mature birds. However, in the females, the left ovary (possible immaturity) could not be precisely characterized by this method, due to its anatomical shape. To confirm the results of the tomographic exams, analyses of DNA polimorphism were performed.
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Vundavalli, Suveen Kumar, and Sri Rama Srinivasa Varma Danthuluri. "Bird Chirps Annotation UsingTime-Frequency Domain Analysis." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13624.
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There are around 10,426 bird species around the world. Recognizing the bird species for an untrained person is almost impossible either by watching or listening them. In order to identify the bird species from their sounds, there is a need for an application that can detect the bird species from its sound. Time-frequency domain analysis techniques are used to implement the application. We implemented two time-frequency domain feature extraction methods. In feature extraction, a signature matrix which consist of extracted features is created for bird sound signals. A database of signature matrix is created with bird chirps extracted features. We implemented two feature classification methods. They are auto-correlation feature classification method and reference difference feature classification method. An unknown bird chirp is compared with the database to detect the species name. The main aim of the research is to implement the time-frequency domain feature extraction method, create a signature matrix database, implement two feature classification methods and compare them. At last, bird species were identified in the research and the auto-correlation classification method detects the bird species better than the reference difference classification method.
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Zakeri, Masoud. "Automatic bird species identification employing an unsupervised discovery of vocalisation units." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7833/.
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An automatic analysis of bird vocalisations for the identification of bird species, the study of their behaviour and their means of communication is important for a better understanding of the environment in which we are living and in the context of environmental protection. The high variability of vocalisations within different individuals makes species’ identification challenging for bird surveyors. Hence, the availability of a reliable automatic bird identification system through their vocalisations, would be of great interest to professionals and amateurs alike. A part of this thesis provides a biological survey on the scientific theories of the study of bird vocalisation and corresponding singing behaviours. Another section of this thesis aims to discover a set of element patterns produced by each bird species in a large corpus of the natural field recordings. Also this thesis aims to develop an automatic system for the identification of bird species from recordings. Two HMM based recognition systems are presented in this research. Evaluations have been demonstrated where the proposed element based HMM system obtained a recognition accuracy of over 93% by using 3 seconds of detected signal and over 39% recognition error rate reduction, compared to the baseline HMM system of the same complexity.
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Rizzitelli, Federico. "Design and implementation of BIRDY satellite data and Radiation Payload simulators." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
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Numerical modelling and simulations are needed to develop and test specific analysis methods by providing test data before BIRDY would be launched.
This document describes the "satellite data simulator" which is a multi-sensor, multi-spectral satellite simulator produced especially for the BIRDY mission which could be used as well to analyse data from other satellite missions providing energetic particles data in the Solar system.
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Burden, Joanne Jemima Ellen. "Identification and characterisation of a novel intracellular protein that binds the low density lipoprotein (LDL) receptor." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271420.
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Minakuchi, Masayoshi. "Identification and characterization of SEB, a novel protein that binds to the acute undifferentiated leukemia-associated protein SET." Kyoto University, 2001. http://hdl.handle.net/2433/150179.
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Robinson, Katherine Reilly. "Negotiating Identity: Culturally Situated Epideictic in the Victorian Travel Narratives of Isabella Bird." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3213.pdf.
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Rouzet, Adeline. "Identification des protéines antigéniques impliquées dans la maladie du poumon d’éleveur d’oiseaux." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCE014/document.
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Les maladies allergiques constituent une part importante des préoccupations de santé publique. Parmi elles, la maladie du poumon d’éleveur d’oiseaux (PEO) est une pathologie respiratoire liée à l’inhalation répétée de protéines antigéniques, localisées dans les fientes, les plumes et les squames des oiseaux. Actuellement, on connait peu de chose sur la nature des antigènes impliqués dans la maladie.La mise en évidence d’immunoglobulines G (IgG) spécifiques des agents étiologiques est un élément important dans la prise en charge diagnostique et thérapeutique. L’objectif de la thèse est d’identifier les protéines antigéniques de pigeon et de les produire par génie génétique afin de développer un test sérologique efficace et standardisé de type ELISA. L’approche immuno-protéomique développée combine l’utilisation d’analyses sérologiques (western blot, ELISA) et l’identification par spectrométrie de masse des protéines antigéniques et des protéines totales (shotgun) des fientes, squames et sérum de pigeon. Ainsi, 14 protéines antigéniques principalement localisées dans les fientes et les squames de pigeon ont été identifiées et 2 protéines recombinantes ont été produites, puis testées en ELISA. Les protéines recombinantes Immunoglobulin-lambda-like polypeptide-1 et Proprotéinase E sont très performantes pour le diagnostic sérologique du PEO avec une spécificité et une sensibilité respectives de 100% et 84%. Des protéines orthologues, potentiellement impliquées dans les réactions antigéniques croisées ont été identifiées à partir des fientes de perruche et de poule. Ce travail a permis d’identifier les protéines antigéniques des fientes de pigeon, d’apporter des précisions sur leur localisation, et de développer des antigènes recombinants standardisés et performants pour améliorer le diagnostic sérologique du PEO. Des études complémentaires, sur des modèles animaux et cellulaires, devront être menées pour explorer l'implication de ces protéines dans l'induction de la maladieAllergic diseases represent one of the most important public health concerns. Among them, Bird Fancier’s Lung disease (BFL) is a respiratory illness associated with repeated inhalation of antigenic proteins, present in bird droppings, feathers and blooms. Currently, little is known about the nature of the antigens involved in the disease. The detection of immunoglobulin G (IgG) specific etiologic agents is an important factor in diagnostic and therapeutic management.The objective of this thesis is to identify the antigenic proteins of pigeons and to produce them by genetic engineering in order to develop an effective and standardized ELISA-type serological test. The immuno-proteomic approach created combines the use of serological analyses (western blot, ELISA) and the identification by mass spectrometry of antigenic proteins and total proteins (shotgun) of pigeon droppings, blooms and serum. Thus, 14 antigenic proteins mainly located in droppings and blooms were identified, and 2 recombinant proteins were produced and then tested with ELISA.The recombinant proteins Immunoglobulin-lambda-like polypeptide-1 and Proproteinase E are highly effective for the serological diagnosis of BFL,with specificity and sensitivity rates of 100% and 84%, respectively. Orthologous proteins potentially involved in cross-antigen reactions were identified from budgerigar and hen droppings. This work made it possible to identify the antigenic proteins of pigeon droppings, to provide further details on their location, and to develop standardized and efficient recombinant antigens to improve the serological diagnosis of BFL.Additional studies on animals and cell models will be needed to explore the role of these proteins in the induction of the disease
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Mirzaei, Golrokh. "Data Fusion of Infrared, Radar, and Acoustics Based Monitoring System." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1396564236.
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Orooji-heravi, Victor. "Software support for a hand-held bird identification aid." Thesis, 1990. https://hdl.handle.net/10539/27910.
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A project report submitted to the Faculty of Engineering, University of the
Witwatersrand, Johannesburg, in partial fulfilment of the requirements for
the degree of Master of Science in EngineeringIn view of the recent breakthroughs in memory chips, electronic fieldguides are becoming more feasible, specially when they offer better portability and faster information access when compared to conventional fieldguides. In this report we discuss the importance of inexpensive electronic fieldguides which at the same time provide suitable user interface for maximum information transfer. The implications of software architecture are discussed during the course of designing the software model of a bird identifier fieldguide. This model is used to evaluate the behavioral performance and effectiveness of the user interface; both of which play a vital role in establishing the cost of the device. These observations are brought together in conclusion, where the potential role of electronic fieldguides in the domain of education and science are highlighted.
Andrew Chakane 2019
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Smallie, Jonathan James. "A power line risk assessment for selected South African birds of conservation concern." Thesis, 2012. http://hdl.handle.net/10539/11067.
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MSc., Faculty of Science, University of the Witwatersrand, 2011A selection of southern African bird species were modelled in terms of the probability of these species colliding with or being electrocuted on overhead power lines in South Africa, based on morphological and behavioral factors. Species were included in the model on the basis of internationally recognized vulnerability to these interactions at the family level. The collision model performed poorly when tested against the actual reported mortalities for species contained in the Eskom-EWT Strategic Partnership Central Incident Register CIR)(chi-square of goodness of fit) at the individual species, family and within family levels. The electrocution model performed slightly better at the family, and within family level. Both collision and electrocution models performed better for the physically larger species (and families) and for those species with higher modelled probability of collision or electrocution. As the product of random carcass detection and reporting, the CIR data are biased in various ways. Testing the models against the CIR is therefore equally important for highlighting inadequacies in the CIR, as in the model. A number of new species have emerged as being of high collision (including most importantly African Pygmy Goose, Southern Ground Hornbill, Black-bellied Bustard, Yellow-throated Sandgrouse, Caspian Tern, Hooded Vulture, Bateleur, African Marsh Harrier, Black Harrier, Pink-backed Pelican and Yellow-billed Stork) or electrocution (Southern Bald Ibis) probability in theoretical terms, and will require further investigation to determine their actual probability of interaction. By mapping the combined distributions of those species with high probabilities of collision and/or electrocution mortality, a number of priority high risk geographic areas emerge around the country.
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Chapman, Alexandra. "Development of Novel High-Resolution Melting (HRM) Assays for Gender Identification of Caribbean Flamingo (Phoenicopterus ruber ruber) and other Birds." Thesis, 2012. http://hdl.handle.net/1969.1/148342.
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Unambiguous gender identification (ID) is needed to assess parameters in studies of population dynamics, behavior, and evolutionary biology of Caribbean Flamingo (Phoenicopterus ruber ruber) and other birds. Due to its importance for management and conservation, molecular (DNA-based) avian gender ID assays targeting intron-size differences of the Chromosome Helicase ATPase DNA Binding (CHD) gene of males (CHD-Z) and females (CHD-W) have been developed. Male (ZZ) and female (WZ) genotypes are usually scored as size polymorphisms through agarose or acrylamide gels. For certain species, W-specific restriction sites or multiplex polymerase chain-reaction (PCR) involving CHD-W specific primers are needed.
These approaches involve a minimum of three steps following DNA isolation: PCR, gel electrophoresis, and photo-documentation, which limit high throughput scoring and automation potential. In here, a short amplicon (SA) High-resolution Melting Analysis (HRMA) assay for avian gender ID is developed. SA-HRMA of an 81-Base Pair (bp) segment differentiates heteroduplex female (WZ) from homoduplex male (ZZ) genotypes by targeting Single-nucleotide Polymorphisms (SNPs) instead of intron-size differences between CHD-Z and CHD-W genes.
To demonstrate the utility of the approach, the gender of Caribbean Flamingo (P. ruber ruber) (17 captive from the Dallas Zoo and 359 wild from Ria Lagartos, Yucatan, Mexico) was determined. The assay was also tested on specimens of Lesser Flamingo (P. minor), Chilean Flamingo (P. chilensis), Saddle-billed Stork (Ephippiorhynchus senegalensis), Scarlet Ibis (Eudocimus ruber), White-bellied Stork (Ciconia abdimii), Roseate Spoonbill (Platalea ajaja), Marabou Stork (Leptoptilos crumeniferus), Greater Roadrunner (Geococcyx californianus), and Attwater's Prairie Chicken (Tympanuchus cupido attwateri). Although the orthologous 81 bp segments of Z and W are highly conserved, sequence alignments with 50 avian species across 15 families revealed mismatches affecting one or more nucleotides within the SA-HRMA forward or reverse primers. Most mismatches were located along the CHD-Z gene that may generate heteroduplex curves and thus gender ID errors. For such cases, taxon and species-specific primer sets were designed. The SA-HRMA gender ID assay can be used in studies of avian ecology and behavior, to assess sex-associated demographics and migratory patterns, and as a proxy to determine the health of the flock and the degree by which conservation and captive breeding programs are functioning.
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Wings, Oliver [Verfasser]. "Identification, distribution, and function of gastroliths in dinosaurs and extant birds with emphasis on ostriches (Struthio camelus) / vorgelegt von Oliver Wings." 2004. http://d-nb.info/973178914/34.
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Chang, Hsin-Yi, and 張心怡. "A study on the species identification of birdstrike remains by using microscopic feather characteristics.－Example study from the air-foraging insectivorous birds in CCK Air Force Base." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/22682838641405948236.
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碩士國立中興大學
生命科學系所
94
Abstract With the developments of aviation technology, bird strikes become a serious problem to human life and economy of the industry. In order to minimize the risk of bird strikes, it is necessary to develop habitat management practices for the bird species at risk. Therefore, it is critical to identify the birds caused the aircraft damage in order to take the proper damage prevention strategies. Feather microstructure technique is a forensic candidate method to apply for bird species identification for a bird strike issue. However, there are few researches using quantification of characters and multivariate analysis. The purpose of this study is to quantify the characteristics of downy region of contour feathers, and use discriminant analysis and morphological comparison with microscopy techniques to identify six air-foraging insectivorous birds at CCK Air Force base at Taichung in central Taiwan. The subpennaceous region structure was found in Apus pacificus only. Furthermore, 11 morphological data of Dicrurus macrocercus, Hirundo rustica, H. tahitica, H. striolata and Riparia paludicala were used in discriminant analysis and a 74.5% efficacy rate was found. The successful identification rates of the discriminant analysis by using barb length, barbule length, basal cell length, node number at proximal and distal barbule and pigmented node number at median and distal barbule provided were97.5%, 85% and 81.7% for D. macrocercus , H. tahitica and R. paludicala specimens correspondingly. The classification of H. rustica and H. striolata was not significant. However, the scanning electron microscopy (SEM) technique was able to distinguish the two species by comparing the distinct morphology of nodes for the two species. This study has established a systematic approach for the identification of bird strike remains and provided methods to build a microstructure feather data base for the forensic purpose of bird strike researches.
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Xue, Yu-Zhi, and 薛宇志. "Automatic Identification of Bird Species by Their Calls and Songs." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/496p2v.
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碩士國立臺北科技大學
電腦與通訊研究所
98
There are more than nine thousand and seven hundred bird species in the world. Interestingly, one-twentieth of worldwide bird species can be found in this small island we live. Despite abundant with various birds, most people in Taiwan cannot recognize what the bird is by its sound; even the bird is commonly seen. In this study, we attempt to develop automated techniques for identifying bird species based on their sounds. It is hoped that the techniques can help people learn such lovely animals by simply recording the bird sounds they hear. To begin, we apply the most prevalent speaker-identification method to the problem of bird sound identification. Several audio features, such as Mel-scale frequency cepstral coefficients (MFCCs), Renyi entropy, spectrum centroid, and Mel Spectral Centroid Cepstral Coefficients (MSCCCs), together with Gaussian mixture modeling are investigated. However, our experiments found that the resulting identification accuracy is far from satisfactory, and different audio features perform rather diverse. To improve the identification performance, we propose a two-stage paradigm based on a characteristic that bird sound can be divided into three classes, namely, bird call, bird call sequence, and bird song. It is found that MFCCs are suitable for bird song identification, whereas MSCCCs are suitable for bird call sequence identification. We therefore build two identifiers for bird call sequence and bird song using different audio features separately, and recognize which of the three classes an unknown test sound belongs to. Our experimental data comprises ten bird species, stemming from both commercial CDs and public websites. It is found that the identification accuracy can be largely improved from 60.37% to 80% using the proposed two-stage system.
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Shih, Dong-Liang, and 石棟樑. "Bird Call Identification System Based on Various Time-Frequency Feature Extraction." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/42rd4j.
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碩士國立臺灣科技大學
電子工程系
102
Automatic bird sound identification system has been developed for several years. Traditional recognition approaches are modified from human speech processing systems. Features extraction algorithms usually used in the bird call identification are based on the human auditory models such as Mel-frequency cepstral coefficient (MFCC). However, the auditory model is not quite suitable for bird sound recognition owing to the different mechanism between human being and computer system. In this thesis, our bird call identification system is composed of three major parts: Time-frequency methods selection, reference templates training and bird sounds comparison. We analyze the bird call by transforming data into the time-frequency domain, which is used as the visual patterns for further feature extraction. In this study, a variety of transformations such as linear time-frequency transform, bilinear time-frequency transform and Hilbert-Huang transform are included in this recognition system. We have also made several comparisons between the normal time-frequency transform and the human perception related transform, and then conclude the best transform for different bird species.
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Lin, Wei-Cheng, and 林威成. "Bird Species Identification Based on Timbre and Pitch Feature of Sound recordings." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/2jaty8.
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碩士國立臺北科技大學
電腦與通訊研究所
100
To help people learn bird species from their sounds, this study proposes an automatic system that identifies bird sounds in a long audio recording. For each instant of a long audio recording, we perform timbre-based and pitch-based analyses. In the timbre-based analyses, Mel-frequency cepstrum coefficients are extracted from every short segment, and then tested by a Gaussian Mixture Model Classifier. In the pitch-based analysis, we convert sound signals from their waveform representations into a sequence of MIDI notes. Then, Bigram models are used to analyze the dynamic change information of the notes. The database used in this thesis consists of 2815 sound recordings from 20 bird species. We further concatenated all the recordings into an 885-sec long audio stream. Our experiments show that the identification accuracies obtained with pitch-based analysis, timbre-based analysis, and combined pitch and timbre-based analysis are 50.2%, 82.45% ,85.28%, respectively.
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Fang, Guan-Bo, and 方冠博. "《Bird》the short film to confer self-identification with lens language of long take." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/62492934632211887511.
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碩士國立臺南藝術大學
動畫藝術與影像美學研究所
101
There are six chapters to confer self-identification with lens language of long take in this thesis. The First Chapter is talking about the influence of animation to me and my feeling for esthetics of animation when I study in University and Graduate Institute. The second chapter is about the reason to make 《Bird》 the short film. The Third Chapter analyzes the application of the lens language of long take in kinds of film. The Fourth chapter discusses about the topic of the self-identification in the literature and films to enforce the theme in the film. The fifth chapter explains how the short films make. The last chapter is the conclusion that my process in animation and the future development in animation and motion graphic.
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MIAO, LUO-HUA, and 苗羅華. "Identification and characterization of protein factors that binds to a cis-element in the promoter region of ∝1-acid glycoprotein gene." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/26824853117927224924.
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Miao, Luo-Hua, and 苗羅華. "Identification and characterization of protein factors that binds to a cis-element in the promoter region of 1-acid glycoprotein gene." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/44276039656862889439.
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Banks, David Jay. "Identification, characterization, cloning and expression of a Heliothis virescens 110 kDa aminopeptidase N that binds Bacillus thuringiensis Cry1Ac and Cry1Fa [delta]-endotoxins." 2002. http://purl.galileo.usg.edu/uga%5Fetd/banks%5Fdavid%5Fj%5F200205%5Fphd.
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Thesis (Ph. D.)--University of Georgia, 2002.Directed by Michael Adang. Includes an article published in, and an article submitted to, Insect biochemistry and molecular biology. Includes bibliographical references.
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Xue, Siqi. "Purification and identification of specific RNA-binding protein that binds to the 3'UTR region of cytochrome P450aromatase mRNA in bovine granulosa cells." Thèse, 2008. http://hdl.handle.net/1866/7200.
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Leareng, Samuel Keeng. "Characterization and identification of microbial communities in pigeon droppings using Culture-Independent techniques." Thesis, 2015. http://hdl.handle.net/10352/349.
Full textAbstract:
M. Tech. (Department of Biotechnology, Faculty of Applied and Computer Science), Vaal University of Technology|Pigeon droppings, found in abundance in most cities and towns where pigeons are found, are a source of potential yeast and molds into the environment. Invasive fungal infections are a cause of morbidity and often mortality in immunocompromised individuals. The objective of this study was to the identification of bacterial and mold agents from pigeon droppings. Pigeon droppings samples were collected from three locations during the winter and summer months and studied for the occurrence of bacteria, yeast and molds by utilising culture-independent techniques. Amplification of the 16S rDNA gene and the internal transcribed spacer (ITS) region, cloning and ARDRA and DGGE were used for the characterisation of the microbial populations followed by sequencing. Several mold and yeasts, as well as bacteria were found to be present in pigeon droppings, which can spread into the environment and be transmitted to immunocompromised individuals and children. DGGE analysis of the bacterial communities revealed banding patterns that clustered all but one winter samples and all summer samples, showing a high similarity among the microbial members in both seasons and sample locations. Fungal DGGE analysis revealed clusters that grouped summer and winter samples from Johannesburg and Pretoria while VUT samples were clustered on their own. From the identification of fungal and bacterial DNA, Cryptococcus species was the majority of fungi isolated from the dropping samples. Geotrichum, Kazachstania and Fusarium species were isolated from phylotypes obtained from ITS amplicons analysed by ARDRA. Lactobacillus and Enteroccoccus species, organisms usually found in the gastrointestinal tract were the common bacterial members identified. The results showed no difference in microbial communities across all sample locations, while seasonal changes also had no impact in microbial community patterns.