Biometrics is currently a very rapidly evolving scientific and applieddiscipline, which studies the different possible ways of personal identification by means of certain unique biological characteristics of each ind...
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ISBN:
(纸本)9781424443895
Biometrics is currently a very rapidly evolving scientific and applieddiscipline, which studies the different possible ways of personal identification by means of certain unique biological characteristics of each individual. Such identification is very important in various situations requiring restricted access to certain areas, information, personal data, and in cases of medical emergencies. A number of automated biometric techniques have been developed, including fingerprint, hand shape, eye and facial recognition, thermographic imaging, etc. All of these techniques differ in the recognizable parameters, usability, accuracy and cost. Among others, fingerprint recognition stands alone - because a very large database of fingerprints has already been acquired (for historical reasons). Also, fingerprints are usually the main evidence left at a crime scene and can be used to track down criminals. Therefore, of all the automated biometric techniques, especially in the field of law enforcement, fingerprint identification seems to be the most promising. This paper introduces a newer development of the ultrasonic fingerprint imaging. The proposed method allowed a scan to be obtained just once and then to vary the Cscan gate position and width to visualize acoustic reflections from any appropriate depth inside the skin. Also, B-scans and Ascans can be recreated from any position using such a data array. Therefore, this gives total control over the visualization options. By setting the C-scan gate deeper inside the skin, distribution of the sweat pores (which are located along the ridges) can be easily visualized. Given that this distribution should be unique for each individual, this provides additional means of personal identification, which is not affected by any changes (accidental or intentional) of the fingers' surface conditions. This paper also gives thorough discussion of different setups, acoustic parameters of the system, signal and image processing options and p
This research proposes a novel method to generate 3d cloud, usually appeared in 3d weather visualization system, from the satellite cloud image. First, the satellite image will be separated into several layers by clas...
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This research proposes a novel method to generate 3d cloud, usually appeared in 3d weather visualization system, from the satellite cloud image. First, the satellite image will be separated into several layers by classifying the image's pixel intensity, and then the authors will generate 3d cloud with the creating rule of Cellular Automata (CA) considered by the presence of neighboring pixels. In this study, an interpolation method for animating cloud particles including transport and collision is also proposed. The authors try to develop a method which uses to transport the generated cloud particles from the beginning to the ending of time interval. Finding the direction to move a particle, we compare the increased anddecreased value from time to time of which one position value and its neighboring values. We use a rule of collision based on Lattice Gas Cellular Automata (LGCA) in collision state. The example of 3d cloud generation is also shown in this paper.
In this paper we present detailed profiling results and identify the time critical algorithms of the Long Term Evolution (LTE) layer 2 (L2) protocol processing on an ARM based mobile hardware platform. Furthermore, we...
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ISBN:
(纸本)9781424444656
In this paper we present detailed profiling results and identify the time critical algorithms of the Long Term Evolution (LTE) layer 2 (L2) protocol processing on an ARM based mobile hardware platform. Furthermore, we investigate the applicability of a single ARM processor combined with a traditional hardware acceleration concept for the significantly increased computational demands in LTE and future mobile devices. A virtual prototyping approach is adopted in order to simulate a state-of-the-art mobile phone platform which is based on an ARM1176 core. Moreover a physical layer and base station emulator is implemented that allows for protocol investigations on transport block level at different transmission conditions. By simulating LTE data rates of 100 Mbit/s and beyond, we measure the execution times in a protocol stack model which is compliant to 3GPP Re1.8 specifications and comprises the most processing intensive downlink (dL) part of the LTE L2 data plane. We show that the computing power of a single embedded processor at reasonable clock frequencies is not enough to cope with the L2 requirements of next generation mobile devices. Thereby, Robust Header Compression (ROHC) processing is identified as the major time critical software algorithm, demanding half of the entire L2 dL execution time. Finally, we illustrate that a conventional hardware acceleration approach for the encryption algorithms fails to offer the performance required by LTE and future mobile phones.
The rock desertification is the results of the sharp conflicts between the human activities and soil, and the serious soil erosion. It is reflected as the phenomena of degradation ecological landscape. Through the pre...
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ISBN:
(纸本)9781424463299
The rock desertification is the results of the sharp conflicts between the human activities and soil, and the serious soil erosion. It is reflected as the phenomena of degradation ecological landscape. Through the pre-processing of 3dvisualization GIS platform, the research is acquiring the landscape varieties based on the 3d modeling, and RS data sources, which is also based on the dEM models. It is to analyze the relevant landscape types of surface distribution of Tongjin village, dafang County in the karst plateau of Guizhou Province, China. It is to reveal the current spatial distribution features and its development pattern of the degradation landscape varieties in the sample areas. It is concluded that the comparative outstanding feature of landscape degradation in the research sample area, which acquires to strengthen the ecological landscape recovery and comprehensive management for the sustainable development of resources and environment in the area.
Full-waveform (FW) lidar systems provide range profiles of the Earth topography. They are acquired from airborne platforms or from satellites. Many applications derive from the use of such data, from the extraction of...
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Full-waveform (FW) lidar systems provide range profiles of the Earth topography. They are acquired from airborne platforms or from satellites. Many applications derive from the use of such data, from the extraction of 3d point clouds to the inversion of vegetation profiles. Nevertheless, handling range profiles is much more difficult than handling 3d point cloud. The aim of this paper is to present a research tool based on opensource libraries that can process and visualize such data. We focused our work on the implementation on the 2d/3d interface that gives the possibility to visualize the interaction between the lidar electromagnetic waves and the Earth topography. Moreover, this tool integrates several processing steps of FW Lidar data.
Ultrasonic 3d imaging is an important tool in NdE applications for quality control, flaw detection, and material characterization. However, ultrasonic 3d images often encompass immense amounts of data, making it very ...
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ISBN:
(纸本)9781424443895;9781424443901
Ultrasonic 3d imaging is an important tool in NdE applications for quality control, flaw detection, and material characterization. However, ultrasonic 3d images often encompass immense amounts of data, making it very challenging for volumetric image analysis, transmission and storage. In this study, a fast and scalable data compression System-on-Chip (SoC) architecture based on discrete Wavelet Transform (dWT) is proposed. This compression SoC can process A-Scan, B-Scan and C-Scan signals and images in real-time and reduce the data and bandwidth requirements substantially without degrading the signal fidelity. A volumetric image of 128×128×2048 samples is compressed by 96.9% in less than one second by the proposed compression system implemented on a Virtex-5 FPGA.
A digital coherent receiver employing photonic downconversion is presented and experimentally demonstrated for phase-modulated radio-over-fibre optical links. The receiver is capable of operating at frequencies exceed...
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ISBN:
(纸本)9781424428038
A digital coherent receiver employing photonic downconversion is presented and experimentally demonstrated for phase-modulated radio-over-fibre optical links. The receiver is capable of operating at frequencies exceeding the bandwidth of electrical analog-to-digital converter by using photonic downconversion to translate the high-frequency input RF signal to the operating frequency range of the analog-to-digital converter. First, using linear digital demodulation scheme we measure SFdR of the link at microwave frequency of 5 GHz. Thereafter, successful signal demodulation of 50 Mbit/s Binary Phase Shift Keying (BPSK) modulateddata signal at 5 GHz RF carrier frequency is experimentally demonstrated by using an analog-to-digital converter with only I GHz bandwidth. We successfully demonstrate signal demodulation, using the proposeddigital coherent receiver with photonic downconversion, after 40 km of transmission through standard single mode fiber.
The biomedical imaging chain is continuously being challenged to reconstruct, analyze, and visualize increasing amounts of data in shorter amounts of time. Parallel computing on multi-core devices and clustered comput...
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ISBN:
(纸本)9781424439317
The biomedical imaging chain is continuously being challenged to reconstruct, analyze, and visualize increasing amounts of data in shorter amounts of time. Parallel computing on multi-core devices and clustered computers has allowed for continued innovation of compute andprocessing technologies but not without facing serious constraints of cost, space, and power consumption. Over the last three years the graphics processing unit (GPU) and its increased programmability has played an integral role in defining a new dimension to parallel computing with its single chip, many-core architecture as well as evolving the graphics pipeline to enhance visualization techniques. Image reconstruction, segmentation and registration algorithms architected to take advantage of the GPU parallel architecture not only realize massive processing speedups but also set the stage for scalability. High resolution rendering of 3d and 4ddatasets are navigated in interactive, real-time approaches. Real time ray tracing and3d stereoscopic solutions bring increased realism to images. Understanding the optimized mix of GPU and CPU, both in the sense of hardware and software, is necessary for imaging applications to innovate, realize cost/performance efficiency and continue to enhance visualization. Several approaches for GPU programmability are available and will be explored. Innovations in the compute, graphics andvisualization space will be discussed to show the relevance of the GPU throughout the imaging chain.
Arbitrary volume reslicing (AVR) is used to generate 2d planes of any orientation from 3ddata. Pre-scan-converted (pre-SC) AVR avoids the 3d scan conversion (SC) step anddirectly uses a pre-SC volume to generate 2d ...
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Arbitrary volume reslicing (AVR) is used to generate 2d planes of any orientation from 3ddata. Pre-scan-converted (pre-SC) AVR avoids the 3d scan conversion (SC) step anddirectly uses a pre-SC volume to generate 2d AVR planes. AVR is typically performed on a PC system external to the ultrasound frontend and backend. In this paper, we present an efficient pre-SC AVR algorithm in an ultrasound backend system. The backend supports AVR natively with other backend functions, so the PC system does not need to compute 2d AVR planes from 3d volumes. We used phantom and in vivo datasets to evaluate the pre-SC and post-SC AVR. The normalized root mean squareddifference (NRMSd) was 1.23% for phantom data, and 1.21% for in vivo data. Using one of 8 cores in a multi-core processor, Cell, our algorithm can generate a 1024×768 16-bit AVR image in 30.2 ms from a 512×136×64 16-bit input volume.
The AIdS HIV structural databases (HIVSdB, http://***/ SemanticWeb-pr2d/***), the Protein data Bank (http://***/pdb/ home/***) and the PubChem (http://***/) distribute one of the largest comprehensive collections of s...
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The AIdS HIV structural databases (HIVSdB, http://***/ SemanticWeb-pr2d/***), the Protein data Bank (http://***/pdb/ home/***) and the PubChem (http://***/) distribute one of the largest comprehensive collections of structural data on inhibitors, drug leads and clinical drugs for many diseases including AIdS. These databases contain info on several thousand biologically active compounds from many classes (HIV PR, RT, CCR5, Integrase) of FdA approveddrugs for AIdS. Efficient and yet user friendly rule-baseddata management systems that support state-of-the-art annotation, visualization and query capabilities are crucial for the effective use of data for fragment based structural pharmacology and rational drug design. Semantic Web is the vision of the World Wide Web Consortium for enabling seamless integration of electronic data for data mining and knowledge generation across the Web. Robust and functionally relevant ontology plays a critical role in developing the data elements for a Semantic Web. Presentation will illustrate how Rule-based Semantic Web concepts are used for novel annotation, data integration, storage, and query to manage anddisplay structural (fragments, 2-d images and text-based) biological, and pre-clinical data (http://***/chemblast/***). The technique is called (Chem-BLAST - Chemical Block Layered Alignment of Substructure Technique) and it allows rapid comparison and exchange of compound information using automated rule-based methods to develop structural ontology for use in drug discovery process. The methods and the results that will be presented are probably the first of its kind in biological world that uses entirely rule-based event processing methods to build, integrate and exchange information. The ontology developed by the methods is amenable to be presented either as an RdF or XML or to be used in a relational database. We call it a structural facebook as it is dr
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