14 research outputs found

    Técnicas de compresión de imágenes hiperespectrales sobre hardware reconfigurable

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    Tesis de la Universidad Complutense de Madrid, Facultad de Informática, leída el 18-12-2020Sensors are nowadays in all aspects of human life. When possible, sensors are used remotely. This is less intrusive, avoids interferces in the measuring process, and more convenient for the scientist. One of the most recurrent concerns in the last decades has been sustainability of the planet, and how the changes it is facing can be monitored. Remote sensing of the earth has seen an explosion in activity, with satellites now being launched on a weekly basis to perform remote analysis of the earth, and planes surveying vast areas for closer analysis...Los sensores aparecen hoy en día en todos los aspectos de nuestra vida. Cuando es posible, de manera remota. Esto es menos intrusivo, evita interferencias en el proceso de medida, y además facilita el trabajo científico. Una de las preocupaciones recurrentes en las últimas décadas ha sido la sotenibilidad del planeta, y cómo menitoirzar los cambios a los que se enfrenta. Los estudios remotos de la tierra han visto un gran crecimiento, con satélites lanzados semanalmente para analizar la superficie, y aviones sobrevolando grades áreas para análisis más precisos...Fac. de InformáticaTRUEunpu

    Multimedia

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    The nowadays ubiquitous and effortless digital data capture and processing capabilities offered by the majority of devices, lead to an unprecedented penetration of multimedia content in our everyday life. To make the most of this phenomenon, the rapidly increasing volume and usage of digitised content requires constant re-evaluation and adaptation of multimedia methodologies, in order to meet the relentless change of requirements from both the user and system perspectives. Advances in Multimedia provides readers with an overview of the ever-growing field of multimedia by bringing together various research studies and surveys from different subfields that point out such important aspects. Some of the main topics that this book deals with include: multimedia management in peer-to-peer structures & wireless networks, security characteristics in multimedia, semantic gap bridging for multimedia content and novel multimedia applications

    On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator

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    Deployed image classification pipelines are typically dependent on the images captured in real-world environments. This means that images might be affected by different sources of perturbations (e.g. sensor noise in low-light environments). The main challenge arises by the fact that image quality directly impacts the reliability and consistency of classification tasks. This challenge has, hence, attracted wide interest within the computer vision communities. We propose a transformation step that attempts to enhance the generalization ability of CNN models in the presence of unseen noise in the test set. Concretely, the delineation maps of given images are determined using the CORF push-pull inhibition operator. Such an operation transforms an input image into a space that is more robust to noise before being processed by a CNN. We evaluated our approach on the Fashion MNIST data set with an AlexNet model. It turned out that the proposed CORF-augmented pipeline achieved comparable results on noise-free images to those of a conventional AlexNet classification model without CORF delineation maps, but it consistently achieved significantly superior performance on test images perturbed with different levels of Gaussian and uniform noise

    An innovative two-stage data compression scheme using adaptive block merging technique

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    Test data has increased enormously owing to the rising on-chip complexity of integrated circuits. It further increases the test data transportation time and tester memory. The non-correlated test bits increase the issue of the test power. This paper presents a two-stage block merging based test data minimization scheme which reduces the test bits, test time and test power. A test data is partitioned into blocks of fixed sizes which are compressed using two-stage encoding technique. In stage one, successive blocks are merged to retain a representative block. In stage two, the retained pattern block is further encoding based on the existence of ten different subcases between the sub-block formed by splitting the retained pattern block into two halves. Non-compatible blocks are also split into two sub-blocks and tried for encoded using lesser bits. Decompression architecture to retrieve the original test data is presented. Simulation results obtained corresponding to different ISCAS′89 benchmarks circuits reflect its effectiveness in achieving better compression

    The impact of arterial input function determination variations on prostate dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling: a multicenter data analysis challenge, part II

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    This multicenter study evaluated the effect of variations in arterial input function (AIF) determination on pharmacokinetic (PK) analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data using the shutter-speed model (SSM). Data acquired from eleven prostate cancer patients were shared among nine centers. Each center used a site-specific method to measure the individual AIF from each data set and submitted the results to the managing center. These AIFs, their reference tissue-adjusted variants, and a literature population-averaged AIF, were used by the managing center to perform SSM PK analysis to estimate Ktrans (volume transfer rate constant), ve (extravascular, extracellular volume fraction), kep (efflux rate constant), and Ď„i (mean intracellular water lifetime). All other variables, including the definition of the tumor region of interest and precontrast T1 values, were kept the same to evaluate parameter variations caused by variations in only the AIF. Considerable PK parameter variations were observed with within-subject coefficient of variation (wCV) values of 0.58, 0.27, 0.42, and 0.24 for Ktrans, ve, kep, and Ď„i, respectively, using the unadjusted AIFs. Use of the reference tissue-adjusted AIFs reduced variations in Ktrans and ve (wCV = 0.50 and 0.10, respectively), but had smaller effects on kep and Ď„i (wCV = 0.39 and 0.22, respectively). kep is less sensitive to AIF variation than Ktrans, suggesting it may be a more robust imaging biomarker of prostate microvasculature. With low sensitivity to AIF uncertainty, the SSM-unique Ď„i parameter may have advantages over the conventional PK parameters in a longitudinal study

    Test Stimuli Segmentation and Coding Method

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    Test vector coding and data transmission are the key technologies in the design-for-test of digital integrated circuits (IC). Existing parallel input methods of test stimuli can reduce test application times; however, they need to occupy multiple input ports. Thus, a novel method of test stimuli coding and data transmission was proposed to reduce the test application time of the test vectors and reduce the number of input ports required for the parallel input of test stimuli. This method was based on the segmentation of test stimuli. First, the test stimuli were evenly segmented into eight-bit wide. Second, the eight-bit data of each segment were encoded to the five-bit data according to the compatibility between the test data of each segment. The eight-bit test stimuli input can be completed in one or two clock cycles of automatic test equipment (ATE) by using the five input ports of the chip. The corresponding decoding circuit was added inside the netlist of the circuit to realize the rapid input of the test stimuli. Lastly, the ISCAS\u2789 benchmark circuit was used to conduct experiments, results of this coding method were then compared with those of the serial input method. Results show that the encoding method proposed in this study can save an average of 37% of the parallel input data width and 81.7% of the test stimuli input time. The proposed method in this study can also reduce the test application time and the cost of the IC test. The findings of this study can provide guidance for improving the scan testing method of digital IC

    Bioinformatic methods for the analysis and comparison of metagenomes and metatranscriptomes

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    Ander C. Bioinformatic methods for the analysis and comparison of metagenomes and metatranscriptomes. Bielefeld: Universitätsbibliothek Bielefeld; 2014.Microbial communities play an important role in the whole life of planet earth. The fields metagenomics and metatranscriptomics have developed to reveal the taxo- nomic composition and functional diversity of heterogeneous microbial communities. With the development of new sequencing methods studies in those fields are accelerated. At the same time the new sequencing methods provide a challenge for bioinformatics to process and store a high amount of data. In the scope of this thesis, methods for the analysis of metagenome and metatranscriptome data were developed. At first, the taxonomic classifier metaBEETL was developed and implemented. metaBEETL is based on the Burrows-Wheeler transformation and analyses metagenome sequences to gain a taxonomic profile of microbial communities. Using several bias controls, it provides accurate taxonomic profiles while being memory efficient. In this thesis the accuracy of the classifier is shown by the analysis of an artificial metagenome dataset. Secondly, the rich client software platform Metrans was developed for the analysis and comparison of metatranscriptome datasets. Metrans consists of a pipeline designed for the analysis of metatranscriptomes. It also includes storage and visualization of the analysis results. The software is currently used in a number of projects. The analysis of a metatranscriptome gained from the infected ear of a man and a time series from tidal flat are presented as analysis examples in this thesis

    Book of abstracts

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    Verification of Tolerance Chains in Micro Manufacturing

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