Academic literature on the topic 'Master thesis. Image retrieval'
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Journal articles on the topic "Master thesis. Image retrieval"
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Nienałtowski, Patryk, Maria Baczewska, and Małgorzata Kujawińska. "Comparison of fixed and living biological cells parameters investigated with digital holographic microscope." Photonics Letters of Poland 12, no. 1 (2020): 13. http://dx.doi.org/10.4302/plp.v12i1.971.
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The statistical analysis and comparison of biophysical parameters of living and fixed, mouse embryonic fibroblasts cells are presented. The parameters are calculated based on phase measurements performed by means of a digital, holographic microscope. The phases are retrieved from off-axis, image plane holograms, followed by custom image segmentation and statistical analysis of cells’ surface, phase volume and dry mass. The results indicated statistically significant differences between fixed and living cell parameters, which is an important message for setting methodology for further diagnosis based on quantitative phase (label-free) analysis.Full Text: PDF References:K. Alm, et al. "Cells and Holograms – Holograms and Digital Holographic Microscopy as a Tool to Study the Morphology of Living Cells", InTech, 2013. [CrossRef]Y. Rivenson, Y. Wu, A. Ozcan, Light: "Deep learning in holography and coherent imaging", Science & Applications, 8, Art. No. 85 (2019) [CrossRef]Min, et al. Optics Letters, 42, Issue 2, pp. 227-230, (2017) [CrossRef]M. Baczewska, Measurements and analysis of cells and histological skin sections based on digital holographic microscopy, WUT master thesis, 2018. [CrossRef]P. Stępień, D. Korbuszewski, M. Kujawińska, "Digital Holographic Microscopy with extended field of view using tool for generic image stitching", ETRI Journal, 41(1), 73-83, (2019). [CrossRef]S. Beucher, Serge, The Watershed Transformation Applied To Image Segmentation, Scanning microscopy. Supplement 6, (2000) [DirectLink]J. A. Hartigan, M. A. Wong, "A K-Means Clustering Algorithm", Applied Statistics, (1979) [CrossRef]J. Serra, Image Analysis and Mathematical Morphology, Academic Press, (1982) [DirectLink]P. Girshovitz, N. T. Shaked, "Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell life cycle characterization", Biomedical Optics Express Vol. 3, Issue 8, pp. 1757-1773, (2012) [CrossRef]
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Sun, Si Yu, and Chuan Sheng Wu. "Method Research on Based-Static Motion Image Retrieval." Advanced Materials Research 989-994 (July 2014): 3575–78. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3575.
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In the face of mass movement of image data storage management and retrieval applications, traditional search techniques and methods have been completely incompetent. The emergence of the technology on Based-Static Motion Image Retrieval, points out a specific direction for the development of the field of information retrieval. First of all, the thesis analyze the basic principles of the Based-Static Image Retrieval technology and Based-Static Motion Image Retrieval technology. And the thesis discuss mainly the relevant key technologies and development situations whose based on the static motion image retrieval technology. Secondly, the thesis Introduce and analyze, briefly, the characteristics and application background of several motion image retrieval prototype system, which developed by the domestic and foreign research institutes.
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Meenu, Meenu, and Sonika Jindal. "A REVIEW ON MULTIQUERY SYSTEM FOR CONTENT BASED IMAGE RETRIEVAL." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 13 (2016): 7342–46. http://dx.doi.org/10.24297/ijct.v15i13.4800.
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In recent years, very large collections of images and videos have grown rapidly. In parallel with this growth, content-based retrieval and querying the indexed collections are required to access visual information. Two of the main components of the visual information are texture and color. In this thesis, a content-based image retrieval system is presented that computes texture and color similarity among images. Content based image retrieval from large resources has become an area of wide interest now a days in many applications. To speed up retrieval and similarity computation, the database images are analysed and the extracted regions are clustered according to their feature vectors. This process is performed offline before query processing, therefore to answer a query our system does not need to search the entire database images; instead just a number of candidate images are required to be searched for image similarity.
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Singh, Bohar, and Mrs Mehak Aggarwal. "Knn And Steerable Pyramid Based Enhanced Content Based Image Retrieval Mechanism." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 17, no. 2 (2018): 7215–25. http://dx.doi.org/10.24297/ijct.v17i2.7606.
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Recently, digital content has become a significant and inevitable asset of or any enterprise and the need for visual content management is on the rise as well. There has been an increase in attention towards the automated management and retrieval of digital images owing to the drastic development in the number and size of image databases. A significant and increasingly popular approach that aids in the retrieval of image data from a huge collection is called Content-based image retrieval (CBIR). Content-based image retrieval has attracted voluminous research in the last decade paving way for development of numerous techniques and systems besides creating interest on fields that support these systems. CBIR indexes the images based on the features obtained from visual content so as to facilitate speedy retrieval. Content based image retrieval from large resources has become an area of wide interest nowadays in many applications. In this thesis work, we present a steerable pyramid based image retrieval system that uses color, contours and texture as visual features to describe the content of an image region. To speed up retrieval and similarity computation, the database images are classified and the extracted regions are clustered according to their feature vectors using KNN algorithm We have used steerable pyramid to extract texture features from query image and classified database images and store them in feature features. Therefore to answer a query our system does not need to search the entire database images; instead just a number of candidate images are required to be searched for image similarity. Our proposed system has the advantage of increasing the retrieval accuracy and decreasing the retrieval time.
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Pooja, Pooja, and Sonika Jindal. "ENHANCED CBIR MECHANISM USING STEERABLE PYRAMID AND MEDIAN VECTOR ALGORITHM." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 14 (2017): 7504–14. http://dx.doi.org/10.24297/ijct.v15i14.5705.
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Recently, digital content has become a significant and inevitable asset of or any enterprise and the need for visual content management is on the rise as well. Content-based image retrieval has attracted voluminous research in the last decade paving way for development of numerous techniques and systems besides creating interest on fields that support these systems. CBIR indexes the images based on the features obtained from visual content so as to facilitate speedy retrieval. In this thesis work, we present a steerable pyramid based image retrieval system that uses color, contours and texture as visual features to describe the content of an image region. We have initially used steerable pyramid to extract texture features from query image and database images and store them in feature vectors. Second, to speed up retrieval and similarity computation, the database images are classified and the extracted regions are clustered according to their feature vectors using median vector algorithm. This process is performed before query matching takes place. Therefore to answer a query our system does not need to search the entire database images; instead just a number of candidate images are required to be searched for image similarity. Our proposed system has the advantage of increasing the retrieval accuracy and decreasing the retrieval time. The experimental evaluation of the system is based on a satellite and medical image database. From the experimental results, it is evident that our system performs significantly better and faster compared with other existing systems. In our analysis, we provide a comparison between retrieval results based on features extracted from the whole image using steerable pyramid with median vector and features extracted from same image without median vector. The results demonstrate that each type of feature is effective for a particular type of images according to its semantic contents, and using a combination of them giving better retrieval results for almost all different classes of images in the dataset. Â
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Davis, David, and Carmel O'Sullivan. "Boal and the Shifting Sands: the Un-Political Master Swimmer." New Theatre Quarterly 16, no. 3 (2000): 288–97. http://dx.doi.org/10.1017/s0266464x00013919.
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Augusto Boal is one of the best-known contemporary practitioners and teachers in the use of drama as a means of challenging the status quo. Starting as a self-proclaimed revolutionary, challenging the artistic theories of Aristotle and seeking to supersede those of Brecht, he developed his ‘Theatre of the Oppressed’ working with the poor of Brazil. Now he is perhaps best known for his work in ‘Forum Theatre’ and ‘Image Theatre’. In this article, David Davis and Carmel O'Sullivan argue that not only have Boal's methods been far from revolutionary for many years, but that they are now focused on individual needs, enabling the individual to survive a little longer within an oppressive social structure. They propose that this is not a case of Marxist revolutionary ideology becoming diluted over time, but that the roots of the change are to be found in a lack of grounding in Marxist theory and philosophy from the beginning. David Davis is Director of the International Centre for Studies in Drama in Education and Professor of Drama in Education at the University of Central England, teaching on the MA programme as well as supervising PhD research. He has presented workshops in many parts of the world, and published widely. Carmel O'Sullivan lectures in the Education Department at Trinity College, Dublin, and is currently completing her doctoral thesis critiquing the theory and practice of Boal at the University of Central England.
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HONG, Shu-Quan, and Yue-Jun, HUANG. "Relationship among Reverse Logistics, Corporate Image and Social Impact in Medical Device Industry." Revista de Cercetare si Interventie Sociala 72 (March 15, 2021): 109–21. http://dx.doi.org/10.33788/rcis.72.7.
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Along with rising awareness of social welfare and environmental protection, corporate social responsibility becomes an internationally emphasized topic. The implementation of corporate social responsibility could effectively promote social impact and brand value as well as present the competitiveness of long-term competitive advantage and sustainable management. From the aspect of environmental protection, medical products with use value should not be disposed in the recovery channel. In this case, the maintenance of medical products and the activity to maintain waste medical products, recycle resources, and reuse parts are the environmental protection issues stressed by the government and the public. Aiming at the mass society in Fujian Province, total 360 copies of questionnaire are distributed, with random sampling, and 274 valid copies are retrieved, with the retrieval rate 76%. The retrieved data are analyzed with statistics software. The research results show significant correlations between reverse logistics and corporate image, corporate image and social impact, as well as reverse logistics and social impact. Suggestions, according to the results, are proposed, expecting to help medical device industry effectively combine green strategies, include the concept of environmental protection into corporate culture, provide the society with valuable goods or services, master green business opportunities, and precede differentiation competition in the same trade in order to win in the fierce competition.
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HUNG, Kun-Yao, Ming-Hung LIN, and Su-Ming WU. "Effects of Social Responsibility and Corporate Image on Online Word of Mouth in Cultural and Creative MICE industry." Revista de Cercetare si Interventie Sociala 72 (March 15, 2021): 175–86. http://dx.doi.org/10.33788/rcis.72.12.
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The emergence of global cultural and creative industry in past years has the exhibition appear diverse function and complicated styles. It would test the decision making of curators or curating teams extending the influence of exhibition and creating new value with smart curating, loan, or renewal. In this case, it becomes a primary issue for curators or curating teams mastering points in the planning and conducting, deepening experience, and matching audience’s needs to advance MICE events and drive innovative economic development. Aiming at consumers of cultural and creative MICE industry in Kaohsiung City, as the research objects, total 400 copies of questionnaire are distributed, and 284 valid copies are retrieved, with the retrieval rate 71%. The concept of corporate social responsibility is gradually emphasized in past years. Under the environmental trend, owners in the world realize the importance of corporate social responsibility and the irresistibility of the trend. The participation in corporate social responsibility of cultural and creative MICE industry indeed could enhance consumers’ image of cultural and creative MICE industry. According to the result to propose suggestions, it is expected to help domestic cultural and creative MICE industry build good corporate image through social responsibility to effectively master online word of mouth.
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Safronova, Elena Mikhailovna. "Saint Petersburg period of creativity of P. K. Vaulin (1906-1914)." Человек и культура, no. 2 (February 2021): 1–11. http://dx.doi.org/10.25136/2409-8744.2021.2.35221.
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The subject of this research is the stylistic peculiarities and means of artistic expression of the architectural majolica by Peter Kuzmich Vaulin. The object of this research is the architectural ceramics of Vaulin in facades of the buildings of St. Petersburg in the early XX century. The application of inclusive approach allows tracing correlations between the historical facts and the cultural characteristics of this period. The compositional-artistic analysis, comparative-descriptive method, and imagery-stylistic analysis were used for consideration of the means of artistic expression of architectural ceramics, compositional interaction of the materials and space, and examination of the style and formative peculiarities of ceramics. Detailed analysis is conducted on the Saint Petersburg period of the ceramist P. K. Vaulin, opening of his own ceramic workshop, and active participation in the development of decorative image of St. Petersburg in the early XX century. Special attention is given to the most remarkable works of the master for architectural decoration of the city. Emphasis is placed on his works for the Insurance Company Building “Russia”, which is brilliant example of the harmonious synthesis of majolica and architecture. The conclusion is made that the architectural ceramics of the master made in many ways determined the majolica decoration of St. Petersburg – compositional, textured, color, imagery-stylistic, and plastic peculiarities of the ceramic works of P. K. Vaulin contributed to aesthetic transformation of the environment. The scientific novelty of consists in the thesis that the ceramic workshop of P. K. Vaulin was one of the leading manufacturers of artistic majolica of the indicated period. It is also proven that the Heldwein-Vaulin workshop was able to organically synthesize the heritage of the best traditions of the past with the courage and ambiguity of the Art Nouveau.
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Cui, Jinying. "Application of deep learning and target visual detection in english vocabulary online teaching." Journal of Intelligent & Fuzzy Systems 39, no. 4 (2020): 5535–45. http://dx.doi.org/10.3233/jifs-189035.
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The corpus software has many functions, such as keyword retrieval, context co-occurrence, word list generation and word frequency statistics. It can quickly and accurately provide various corpus and information, such as word-formation collocation, context, word frequency and so on. In this paper, the author analyzes the application of deep learning and target visual detection in English vocabulary online teaching. Deep learning is a kind of machine learning algorithm which includes multi-layer non-linear mapping and tries to obtain high-level abstract representation of data. By extracting features from information, the identifiable components in the image can be extracted. The results show that the application of corpus in College English vocabulary teaching can promote students’autonomous use of corpus in English vocabulary learning. The simulation experiment improves the performance of the system by choosing parameters, and the classification accuracy is more than 90%. Corpus can enable students to learn real and natural language and master natural collocation. At the same time, corpus can help students understand the semantic and pragmatic norms of words in communication and recognize the characteristics of register variants. Future research can use Map-reduce technology to accelerate the training process, save training time and test more hyperparameters.
Dissertations / Theses on the topic "Master thesis. Image retrieval"
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Brolin, Morgan. "Automatic Change Detection in Visual Scenes." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301611.
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This thesis proposes a Visual Scene Change Detector(VSCD) system which is a system which involves four parts, image retrieval, image registration, image change detection and panorama creation. Two prestudies are conducted in order to find a proposed image registration method and a image retrieval method. The two found methods are then combined with a proposed image registration method and a proposed panorama creation method to form the proposed VSCD. The image retrieval prestudy evaluates a SIFT related method with a bag of words related method and finds the SIFT related method to be the superior method. The image change detection prestudy evaluates 8 different image change detection methods. Result from the image change detection prestudy shows that the methods performance is dependent on the image category and an ensemble method is the least dependent on the category of images. An ensemble method is found to be the best performing method followed by a range filter method and then a Convolutional Neural Network (CNN) method. Using a combination of the 2 image retrieval methods and the 8 image change detection method 16 different VSCD are formed and tested. The final result show that the VSCD comprised of the best methods from the prestudies is the best performing method.<br>Detta exjobb föreslår ett Visual Scene Change Detector(VSCD) system vilket är ett system som har 4 delar, image retrieval, image registration, image change detection och panorama creation. Två förstudier görs för att hitta en föreslagen image registration metod och en föreslagen panorama creation metod. De två föreslagna delarna kombineras med en föreslagen image registration och en föreslagen panorama creation metod för att utgöra det föreslagna VSCD systemet. Image retrieval förstudien evaluerar en ScaleInvariant Feature Transform (SIFT) relaterad method med en Bag of Words (BoW) relaterad metod och hittar att den SIFT relaterade methoden är bäst. Image change detection förstudie visar att metodernas prestanda är beroende av catagorin av bilder och att en enemble metod är minst beroende av categorin av bilder. Enemble metoden är hittad att vara den bästa presterande metoden följt av en range filter metod och sedan av en CNN metod. Genom att använda de 2 image retrieval metoder kombinerat med de 8 image change detection metoder är 16 st VSCD system skapade och testade. Sista resultatet visar att den VSCD som använder de bästa metoderna från förstudien är den bäst presterande VSCD.
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Nahar, Vikas. "Content based image retrieval for bio-medical images." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2010. http://scholarsmine.mst.edu/thesis/pdf/Nahar_09007dcc80721e0b.pdf.
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Thesis (M.S.)--Missouri University of Science and Technology, 2010.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed Dec. 23, 2009). Includes bibliographical references (p. 82-83).
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Andersson, Kristina. "Evaluation of uncertainties in sub-volume based image registration : master of science thesis in medical radiation physics." Thesis, Umeå universitet, Institutionen för fysik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-38638.
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Physicians often utilize different imaging techniques to provide clear, visual information about internal parts of the patient. Since the different imaging modalities give different types of information, the combination of them serves as a powerful tool while determining the diagnosis, planning of treatment or during therapy follow-up. To simplify the interpretation of the image information, image registration is often used. The goal of the registration is to put different images in a common coordinate system. It is essential that the registration between the images is accurate. Normalized Mutual Information (NMI) is a metric that quantifies the conformity between images. Even though NMI is a robust method it is often dominated by large structures as the external contour of the patient as well as by the structures of the bones. The prostate is an organ that does not have a fixed position relative to the other organs and host small amounts of image information. The accuracy of the registration is therefore limited with respect to the prostate when using the whole image volume. This master thesis investigates the possibility to restrict the part of the image used for registration to a small volume around the prostate with goal to receive a better registration of the prostate than if full sized images are used. A registration program, utilizing NMI, was written and optimized in MatLab. Four Magnetic Resonance (MR) series and one Computed Tomographic (CT) series where taken over the pelvic area of five patients with the diagnosis prostate cancer. The prostate were delineated by a physician. By adding margin to the delineations five different sized Regions of Interest (ROI) where created. The smallest ROI precisely covered the prostate while the largest covered the whole image. The deviation in Center of Mass (CoM) between the images and the Percentage Volume Overlap (PVO) were calculated and used as a measure of alignment. The registrations performed with sub-volumes showed an improvement compared to those that used full-volume while registering a MR image to another MR image. In one third of the cases a 2 cm margin to the prostate is preferable. A 3 cm margin is the most favorable option in another third of the cases. The use of sub-volumes to register MR images to CT series turned out to be unpredictable with poor accuracy. Full sized image registration between two MR image pairs has a high precision but, due to the motion of the prostate, poor accuracy. As a result of the high information content in the MR images both high precision as well as high accuracy can be achieved by the use of sub-volume registration. CT images do not contain the same amount of image information around the prostate and the sub-volume based registrations between MR and CT images are hence inconsistent with a low precision.
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Almquist, Camilla. "Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI." Thesis, Linköpings universitet, Avdelningen för kardiovaskulär medicin, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154496.
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A personalized cardiovascular lumped parameter model of the left-sided heart and thesystemic circulation has been developed by the cardiovascular medicine research groupat Linköping University. It provides information about hemodynamics, some of whichcould otherwise only have been retrieved by invasive measurements. The framework forpersonalizing the model is made using 4D Flow MRI data, containing volumes describinganatomy and velocities in three directions. Thus far, the inputs to this model have beengenerated manually for each subject. This is a slow and tedious process, unpractical touse clinically, and unfeasible for many subjects.This project aims to develop a tool to calculate the inputs and run the model for mul-tiple subjects in an automatic way. It has its basis in 4D Flow MRI data sets segmentedto identify the locations of left atrium (LA), left ventricle (LV), and aorta, along with thecorresponding structures on the right side.The process of making this tool started by calculation of the inputs. Planes were placedin the relevant positions, at the mitral valve, aortic valve (AV) and in the ascending aortaupstream the brachiocephalic branches, and flow rates were calculated through them. TheAV plane was used to calculate effective orifice area of AV and aortic cross-sectional area,while the LV end systolic and end diastolic volumes were extracted form the segmentation.The tool was evaluated by comparison with manually created inputs and outputs,using 9 healthy volunteers and one patient deemed to have normal left ventricular func-tion. The patient was chosen from a subject group diagnosed with chronic ischemic heartdisease, and/or a history of angina, together with fulfillment of the high risk score ofcardiovascular diseases of the European Society of Cardiology. This data was evaluatedusing coefficient of variation, Bland-Altman plots and sum squared error. The tool wasalso evaluated visually on some subjects with pathologies of interest.This project shows that it is possible to calculate inputs fully automatically fromsegmented 4D Flow MRI and run the cardiovascular avatar in an automatic way, withoutuser interaction. The method developed seems to be in good to moderate agreement withthose obtained manually, and could be the basis for further development of the model.
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Southard, Spencer. "Designing 2D Interfaces For 3D Gesture Retrieval Utilizing Deep Learning." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/774.
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Gesture retrieval can be defined as the process of retrieving the correct meaning of the hand movement from a pre-assembled gesture dataset. The purpose of the research discussed here is to design and implement a gesture interface system that facilitates retrieval for an American Sign Language gesture set using a mobile device. The principal challenge discussed here will be the normalization of 2D gestures generated from the mobile device interface and the 3D gestures captured from video samples into a common data structure that can be utilized by deep learning networks. This thesis covers convolutional neural networks and auto encoders which are used to transform 2D gestures into the correct form, before being classified by a convolutional neural network. The architecture and implementation of the front-end and back-end systems and each of their respective responsibilities are discussed. Lastly, this thesis covers the results of the experiment and breakdown the final classification accuracy of 83% and how this work could be further improved by using depth based videos for the 3D data.
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Wright, Tracy L. "Body Image and Healthy Lifestyle Behavior Among University Students." UNF Digital Commons, 2012. http://digitalcommons.unf.edu/etd/402.
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Children develop beliefs about ideal body image and carry these perceptions into adulthood. Consequences of poor body image may include decreased self-esteem, depression, unhealthy lifestyle, and eating disorders. Understanding healthy lifestyle behaviors and the relationship between body image and these behaviors can empower individuals to engage in behaviors to improve health. Pender’s health promotion model provided the theoretical framework for this study. The purpose of this study was to identify the relationship between body image and healthy lifestyle behaviors among undergraduate university students. An email was sent to undergraduate students, providing a link to the survey that included: demographic, body dissatisfaction, and screen time questions; Prochaska’s physical activity screening measure; and a lifestyle profile by Walker, Sechrist, and Pender. A total of 1056 usable surveys were returned. The majority (71%) were satisfied with their body image, although many (60.3%) wanted to alter it. Most (65.1%) had a normal BMI. Sedentary activity was more than the recommended amount, with only 23.3% meeting physical activity guidelines. Healthy lifestyle behaviors were engaged in “sometimes” and “often, but not routinely.” Body image was correlated with healthy lifestyle behaviors. There was a moderate correlation between activity and body image, and a negative correlation between sedentary activity and healthy lifestyle behaviors.
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Bishell, Aaron. "Designing application-specific processors for image processing : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science, Massey University, Palmerston North, New Zealand." Massey University, 2008. http://hdl.handle.net/10179/1024.
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Implementing a real-time image-processing algorithm on a serial processor is difficult to achieve because such a processor cannot cope with the volume of data in the low-level operations. However, a parallel implementation, required to meet timing constraints for the low-level operations, results in low resource utilisation when implementing the high-level operations. These factors suggested a combination of parallel hardware, for the low-level operations, and a serial processor, for the high-level operations, for implementing a high-level image-processing algorithm. Several types of serial processors were available. A general-purpose processor requires an extensive instruction set to be able to execute any arbitrary algorithm resulting in a relatively complex instruction decoder and possibly extra FUs. An application-specific processor, which was considered in this research, implements enough FUs to execute a given algorithm and implements a simpler, and more efficient, instruction decoder. In addition, an algorithms behaviour on a processor could be represented in either hardware (i.e. hardwired logic), which limits the ability to modify the algorithm behaviour of a processor, or “software” (i.e. programmable logic), which enables external sources to specify the algorithm behaviour. This research investigated hardware- and software- controlled application-specific serial processors for the implementation of high-level image-processing algorithms and compared these against parallel hardware and general-purpose serial processors. It was found that application-specific processors are easily able to meet the timing constraints imposed by real-time high-level image processing. In addition, the software-controlled processors had additional flexibility, a performance penalty of 9.9% and 36.9% and inconclusive footprint savings (and costs) when compared to hardwarecontrolled processors.
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Paul, Nathan J. "Creating a user-friendly multiple natural disaster database with a functioning display using Google mapping systems a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2009. http://www.nwmissouri.edu/library/theses/paulnathanj/index.htm.
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Thesis (M.S.)--Northwest Missouri State University, 2009.<br>The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on April 9, 2010) Includes bibliographical references.
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Giles, James A. "Analysis of Digital Logic Schematics Using Image Recognition." UNF Digital Commons, 1997. http://digitalcommons.unf.edu/etd/425.
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This thesis presents the results of research in the area of automated recognition of digital logic schematics. The adaptation of a number of existing image processing techniques for use with this kind of image is discussed, and the concept of using sets of tokens to represent the overall drawing i s explained in detail. Methods are given for using tokens to describe schematic component shapes, to represent the connections between components, and to provide sufficient information to a parser so that an equation can be generated. A Microsoft Windows-based test program which runs under Windows 95 or Windows NT has been written to implement the ideas presented. This program accepts either scanned images of digital schematics, or computer-generated images in Microsoft Windows bitmap format as input. It analyzes the input schematic image for content, and produces a corresponding logical equation as output. It also provides the functionality necessary to build and maintain an image token library.
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Weston, Stuart Duncan. "Development of Very Long Baseline Interferometry (VLBI) techniques in New Zealand array simulation, image synthesis and analysis : a thesis submitted to Auckland University of Technology in fulfilment of the requirements for the degree of Master of Philosophy (MPhil), 2008 /." Click here to access this resource online, 2008. http://hdl.handle.net/10292/449.
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This thesis presents the design and development of a process to model Very Long Base Line Interferometry (VLBI) aperture synthesis antenna arrays. In line with the Auckland University of Technology (AUT) Institute for Radiophysics and Space Research (IRSR) aims to develop the knowledge, skills and experience within New Zealand, extensive use of existing radio astronomical software has been incorporated into the process namely AIPS (Astronomical Imaging Processing System), MIRIAD (a radio interferometry data reduction package) and DIFMAP (a program for synthesis imaging of visibility data from interferometer arrays of radio telescopes). This process has been used to model various antenna array configurations for two proposed New Zealand sites for antenna in a VLBI array configuration with existing Australian facilities and a passable antenna at Scott Base in Antarctica; and the results are presented in an attempt to demonstrate the improvement to be gained by joint trans-Tasman VLBI observation. It is hoped these results and process will assist the planning and placement of proposed New Zealand radio telescopes for cooperation with groups such as the Australian Long Baseline Array (LBA), others in the Pacific Rim and possibly globally; also potential future involvement of New Zealand with the SKA. The developed process has also been used to model a phased building schedule for the SKA in Australia and the addition of two antennas in New Zealand. This has been presented to the wider astronomical community via the Royal Astronomical Society of New Zealand Journal, and is summarized in this thesis with some additional material. A new measure of quality (“figure of merit”) for comparing the original model image and final CLEAN images by utilizing normalized 2-D cross correlation is evaluated as an alternative to the existing subjective visual operator image comparison undertaken to date by other groups. This new unit of measure is then used in the presentation of the results to provide a quantative comparison of the different array configurations modelled. Included in the process is the development of a new antenna array visibility program which was based on a Perl code script written by Prof Steven Tingay to plot antenna visibilities for the Australian Square Kilometre Array (SKA) proposal. This has been expanded and improved removing the hard coded fixed assumptions for the SKA configuration, providing a new useful and flexible program for the wider astronomical community. A prototype user interface using html/cgi/perl was developed for the process so that the underlying software packages can be served over the web to a user via an internet browser. This was used to demonstrate how easy it is to provide a friendlier interface compared to the existing cumbersome and difficult command line driven interfaces (although the command line can be retained for more experienced users).
Conference papers on the topic "Master thesis. Image retrieval"
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Lehner, Susanne, Johannes Schulz-Stellenfleth, Andreas Niedermeier, Jochen Horstmann, and Wolfgang Rosenthal. "Extreme Waves Detected by Satellite Borne Synthetic Aperture Radar." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28293.
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Within the last 20 years at least 200 supercarriers have been lost, due to severe weather conditions. In many cases the cause of accidents is believed to be ‘rouge waves’, which are individual waves of exceptional wave height or abnormal shape. I situ measurements of extreme waves are scarce and most observations are reported by ship masters after the encounter. In this paper a global set of synthetic aperture radar (SAR) images is used to detect extreme ocean wave events. The data were acquired aboard the European remote sensing satellite ERS-2 every 200 km along the track. As the data are not available as a standard product of the Europea Space Agency (ESA), the radar raw data were focused to complex SAR images using the processor BSAR developed by the German Aerospace Center. The entire SAR data set covers 27 days representing 34000 SAR imagettes with a size of 5km×10km. Complex SAR data contain information on ocean wave height, propagation direction and grouping as well as on ocean surface winds. Combining all of this information allows to extract and locate extreme waves from complex SAR images on a global basis. Special algorithms have been developed to retrieve the following parameters from the SAR data: Wind speed and direction, significant wave height, wave direction, wave groups and their individual heights. The satellite ENVISAT launched in March 2002 acquires SAR data with an even higher sampling rate (every 100 km). It is expected that a long-term analysis of ERS and ENVISAT data will give new insight into the physical processes responsible for rogue wave generation. Furthermore, the identification of hot spots will contribute to the optimization of ship routes.
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Skovira, Robert, Alex Koohang, Frederick Kohun, and Richard Will. "Panel Discussion - From Informing Objects to Learning Objects." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3362.
Full textAbstract:
Harman & Koohang (2005) stated that a learning object “ .. is not merely a chunk of information packaged to be used in instructional settings. A learning object, therefore, can include anything that has pedagogical value - digital or non-digital such as a case study, a film, a simulation, an audio, a video, an animation, a graphic image, a map, a book, or a discussion board so long as the object can be contextualized by individual learners. The learner must be able to make meaningful connections between the learning object and his/her experiences or knowledge he/she previously mastered. “ The above definition asserts that a learning object must have “pedagogical value” and that a learning object is 1) anything digital or non-digital such as a film, a simulation, or a case study, and 2) the ability of the learner to contextualize the object, i.e., the learner is capable of making “meaningful connections” between the object and his/her previous experiences and/or knowledge. Once the contextualization occurs, the object will have “pedagogical value” and it no longer merely an object, it is a learning object. Can all objects be contextualized? Is it necessary for all objects to be contextualized? What shall one call an “object” that is retrieved (and may even have some value other than pedagogical value and/or use) from an open access or commercial learning objects repository labeled as a “learning object” with no pedagogical value? If these objects are not learning objects, but have some sort of value and use, how shall one refer to these objects? Perhaps “informing objects”?
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Wehrmann, Jônatas, and Rodrigo C. Barros. "Language-Agnostic Visual-Semantic Embeddings." In Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/ctd.2021.15751.
Full textAbstract:
We propose a framework for training language-invariant cross-modal retrieval models. We introduce four novel text encoding approaches, as well as a character-based word-embedding approach, allowing the model to project similar words across languages into the same word-embedding space. In addition, by performing cross-modal retrieval at the character level, the storage requirements for a text encoder decrease substantially, allowing for lighter and more scalable retrieval architectures. The proposed language-invariant textual encoder based on characters is virtually unaffected in terms of storage requirements when novel languages are added to the system. Contributions include new methods for building character-level-based word-embeddings, an improved loss function, and a novel cross-language alignment module that not only makes the architecture language-invariant, but also presents better predictive performance. Moreover, we introduce a module called \adapt, which is responsible for providing query-aware visual representations that generate large improvements in terms of recall for four widely-used large-scale image-text datasets. We show that our models outperform the current state-of-the-art all scenarios. This thesis can serve as a new path on retrieval research, now allowing for the effective use of captions in multiple-language scenarios.