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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

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Artificial Intelligence to Impart Surveillance, Tracking, & Actuation on Suspicious Activities

Artificial Intelligence to Impart Surveillance, Tracking, & ...

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IEEE International Advance Computing conference, IACC

作者： Surajit Bhattacherjee G.C. Somashekhar Department of Electronics & Communication Rajiv Gandhi Institute of Technology Bangalore Bangalore India

ISBN: (纸本)9781509015610

Along with the fast growing economy of a developing country as far as India is concerned, there has been reported an emerging number of crime and criminal offences. In many of the cases the suspects are quite freely escaped because of the insufficient testimonials and lack of communication links in time. As an instance, suppose a bank robbery takes place and right then no one is able to press the emergency buzzer or to dial up to nearest police station. Eventually, when the nearest police station is informed about the fact, the gang is beyond the reach leaving no clue behind. Same is observed in many cases as rash driving and hit and run, eve teasing and molestation of women at less crowded streets, pick pocketing and blackmailing at Automatic Teller Machines at roadside and many more. Where there is a crime involved, there has to be a quality surveillance and expert actuation to stand against all these activities with minimum human intervention. Our goal is to design an intelligent device that can continuously keep an eye on any activity happening around it and on administrator's request it can track any suspect, be it an object or a human being, with minimum power consumption and least human efforts. As an actuator it sends a signal to the nearest traffic control or police station intimating the state of crime along with its location and also tells about which direction it is heading to. In view of a real-time establishment of the concept, the flying device is designed to be a robot that looks and flies like a Bird, the processor is chosen to be ARDUINO UNO, the image processing is made by mat-lab tool and the communication link between the administrator and the device is via RFID system and between device and the police control is achieved by GPS/GSM technology.

关键词： Law enforcement Birds Automobiles Traffic control image coding Surveillance Robots

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Nanopositioning MEMS stage for high speed positioning of Metamaterials lenses for use in high resolution optical imaging

Nanopositioning MEMS stage for high speed positioning of Met...

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IEEE International conference on Advanced Intelligent Mechatronics (AIM)

作者： Herfst, R. W. Bijster, R. J. F. Dekker, A. Wei, J. van Zeijl, H. W. Kruidhof, R. Sadeghian, H. TNO Tech Sci Optomechatron Dept Stieltjesweg 1 NL-2628 CK Delft Netherlands Else Kooi Lab Feldmannweg 17 NL-2628 CT Delft Netherlands

ISBN: (纸本)9781509060009

High resolution and high throughput imaging are typically mutually exclusive. While there is a wide range of techniques to image features beyond the diffraction limit of light, they all have their own benefits and drawbacks, but they are often very slow compared to optical systems. As such, extending the performance of optical microscopes remains. Examples of high resolution optical concepts are metamaterials nano-antennas, superoscillatory lenses and hyperlenses. These concepts require precise and high speed positioning of the optical element at lens-to-sample separations measured in tens of nanometers. We present a design and process for a MEMS nanopositioning stage capable of sub-nm positioning of a metamaterials optical lens with very high bandwidth. Laser vibrometer measurements on the first batch of fully fabricated devices showed that the first eigenfrequency is at 500 +/- 25 kHz, somewhat below the 660 kHz obtained by FEM simulations. Due to squeeze film damping, the quality factor is relatively low (approximately 2-2.5), which is advantageous for reaching high positioning bandwidth when the device is used in a near-field optical imaging microscope.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Individual Prediction of Brain Tumor Histological Grading Using Radiomics on Structural MRI

Individual Prediction of Brain Tumor Histological Grading Us...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Stijn Bonte Ingeborg Goethals Roel Van Holen Department of Electronics and Information Systems Medical Image and Signal Processing (MEDISIP) and the Department of Nuclear Medicine Ghent University Ghent Belgium

The accurate diagnosis of brain tumors is of primary importance for optimal therapy planning. In clinical practice, this is determined on a biopsy, exposing the patient to the risk of complications. Moreover, sampling bias and performer variability may influence the result. Several studies have investigated the histological grading of brain tumors in a non-invasive way by extracting features from medical images. A multicenter study where both tumor grade and cell type are simultaneously predicted is however lacking. In this study we collected structural MRI-scans from 294 patients with glioma acquired in different centers (the local hospital and two online databases). The goal was to predict tumor grade and cell type of individual patients using a radiomics study with Random Forests. In a multiclass design, we obtain a global accuracy of 59.9% to predict tumor grade and 53.4% to predict cell type. Converting the problem to binary classification, we obtain an accuracy of 98.3% to distinguish between meningioma and glioma, and 84.5% to distinguish between low-grade glioma and glioblastoma. A high degree of diagnosis variability and overlap between different low-grade classes might cause the reduced prediction accuracy. Our results however show that radiomics on structural MRI is a suitable approach for non-invasively assessing brain tumor diagnosis and might be used for individual treatment planning.

关键词： Tumors Feature extraction Magnetic resonance imaging Medical treatment Biomedical imaging Forestry

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CS-MRA reconstruction based on nonsubsampled contourlet transform in frequency domain (NSCT-FD)

CS-MRA reconstruction based on nonsubsampled contourlet tran...

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International conference on Systems and Informatics (ICSAI)

作者： Yang Heng Xiu-mei Chen Wei Wang Min Tang School of Electronics and Information Nantong University Nantong China

Compressed sensing (CS) is a novel developed theoretical framework for information acquisition and processing. Taking advantages of the sparsity or compressibility inherent in real world signals, CS can collect compressed data at the sampling rate much lower than that needed in Shannon's theorem. When it has been used for medical imaging techniques, CS theory can fast the scanning speed of MRI, reduce the radiation doses and alleviate the patients' suffering. In order to obtain the effective sparse representation, the nonsubsampled contourlet transform in the frequency domain (NSCT-FD) is adopted, then an improved fast iterative soft thresholding algorithm (FISTA) is applied for CS-MRA reconstruction. This novel method not only inherits the simplicity and effectiveness of the original FISTA, and the sparse curvy representation ability of the contourlet transform, but also has the advantages of the shift-invariant property and much less computational burden. The performance is evaluated qualitatively and quantitatively both in noiseless and noisy situations, compared to the classic wavelet and the sharp frequency localization contourlet transform (SFLCT) method. Three quantitative indices are employed including the peak signal to noise ratio (PSNR), mutual information (MI) and relative l 2 norm error (RLNE) and qualitative performance evaluations use the profiles in horizontal direction and local region magnification comparison. Experimental results demonstrate the superiority of the NSCT-FD algorithm, displaying higher PSNR and MI, and lower RLNE indices in both noiseless and noisy MRA images, which have good reconstruction accuracy with reasonable real time computation speed. It is manifest that the NSCT-FD algorithm can be applied in fast medical imaging fields to achieve quality images in a relatively fast process, which will benefit cardiac and carotid MRI, dynamic MRI and MRA.

关键词： Transforms image reconstruction Filter banks Frequency-domain analysis Algorithm design and analysis Filtering algorithms

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Real Time SoC architectures for Analysis of EEG

Real Time SoC architectures for Analysis of EEG

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International conference on Computing, Communication, Control and Automation

作者： Varsha K. Harpale Vinayak K. Bairagi S. S. Pujari AISSMS PCCOE Pune-44 E&TC AISSMS IOIT Pune-01 E&TC Department PCCOE Pune-44

Electroencephalography (EEG) is a multichannel non-stationary brain signal composed of multi-frequency. EEG signals are recorded with multiple electrodes either by scalp or intracranial method. It is well proven tool for brain disease detection or prediction. These brain signals are recorded with multiple electrodes with sampling rate. Thus the very huge data need to process and hence computationally intensive. Different architectures have been proposed and implemented to get high performance with accuracy from the device. This proposed work covers comparative study of different efficient architectures of the EEG signal analyzer and designs biosignal processor using FPGA by establishing link between FPGA and PC with URART serial link. More or less of the architectures of EEG signal processing are mainly used for seizure detection. The basic objective of this paper is to understand the implementation of real tiem EEG analyser using FPGA and SoC, to design simple bisignal processor for EEG analysis and analyze architectures based on different performance parameters like frequency of operation, peak power consumption, technology, memory size (bits), accuracy, ADC Resolution, chip area, gates/SRAM.

关键词： Electroencephalogram (EEG) Seizures System on Chip (SoC) Independent Component Analysis (ICA)

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image Tiling for Embedded Applications with Non-Linear Constraints

Image Tiling for Embedded Applications with Non-Linear Const...

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conference on design and architectures for signal & image processing

作者： Schwambach, Vitor Cleyet-Merle, Sebastien Issard, Alain Mancini, Stephane Univ Grenoble Alpes TIMA F-38031 Grenoble France CNRS TIMA F-38031 Grenoble France STMicroelectronics Grenoble France

ISBN: (纸本)9791092279115

Tiling is a key aspect of the design of embedded image processing applications, due to local memory constraints. To maximize system performance, the designer must select a suitable tile size that balances data transfers and computation. In this work, we present a method for optimal 2D image tile sizing using constraint programming. Unlike previous methods, ours accurately models DMA data transfer times and parallel scheduling overheads with non-linear constraints. Our experiments with a binomial filter demonstrate that we can compute the optimal tiling dimensions that minimize the execution time for different image sizes and internal memory constraints. This technique provides invaluable information for both application developers and system architects that can quickly explore design trade-offs.

关键词： Modeling design Optimization image processing Embedded Software

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BM3D image Denoising Using Heterogeneous Computing Platforms

BM3D Image Denoising Using Heterogeneous Computing Platforms

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conference on design and architectures for signal & image processing

作者： Sarjanoja, Sampsa Boutellier, Jani Hannuksela, Jari Univ Oulu Ctr Machine Vis Res Oulu Finland

ISBN: (纸本)9791092279115

Noise reduction is often performed at an early stage of the image processing path. In order to keep the processing delays small in different computing platforms, it is important that the noise reduction is performed swiftly. In this paper, the block-matching and three-dimensional filtering (BM3D) denoising algorithm is implemented on heterogeneous computing platforms using OpenCL and CUDA frameworks. To our knowledge, these implementations are the first successful open source attempts to use GPU computation for BM3D denoising. The presented GPU implementations are up to 7.5 times faster than their respective CPU implementations. At the same time, the experiments illustrate general design challenges in using massively parallel processing platforms for the calculation of complex imaging algorithms.

关键词： image denoising Parallel processing Parallel algorithms Mobile computing

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A Digital Control Mechanism for the Delay of a Dual-Microphone Analog Beamformer

A Digital Control Mechanism for the Delay of a Dual-Micropho...

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International conference on Optimization of Electrical and Electronic Equipment

作者： Paul Faragó Sorin Hintea Florin Sandu Technical University of Cluj-Napoca Transilvania University of Brasov

ISBN: (纸本)9781509044900

The microelectronic industry is driven by the continuous demand for processing capabilities and performance. As such, most processing is performed nowadays in a digital fashion. Analog however is not to be neglected. A key feature in modern mixed-signal processing is wide-range tuning of the analog processing sections. One step forward is the implementation of digitally programmable analog. The aim of this paper is to illustrate the digital tuning mechanism on the analog beamformer of a dual-microphone array. Analog processing consists of having one microphone signal delayed by an allpass filter, in order to be synchronized to the other microphone signal. A Gm-C filter implementation was considered, and filter tuning was performed via the transconductor bias current. Digital control of the bias current was implemented with a current digital to analog converter, enabling a straightforward and simple control mechanism. Transistor-level simulation results validate the proposed design.

关键词： signal and image processing filtering

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Exploring Custom Heterogeneous MPSoCs for Real-Time Neural signal Decoding

Exploring Custom Heterogeneous MPSoCs for Real-Time Neural S...

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conference on design and architectures for signal & image processing

作者： Meloni, Paolo Tuveri, Giuseppe Pani, Danilo Raffo, Luigi Palumbo, Francesca Univ Cagliari Dipartimento Ingn Elettr & Elettron I-09123 Cagliari Italy Univ Sassari PolComIng Grp Ingn Informaz I-07100 Sassari Italy

ISBN: (纸本)9791092279115

The design of embedded systems for neuroprosthetic applications represents an important challenge to be faced in electronic bioengineering. One of the key research problems is decoding the information encoded in neural signals to extract the patient's motion intention. How to implement a highly-portable and reliable integrated solution is still an open issue. In this paper, we investigate the possibility of adopting the MPSoC paradigm in this application domain, presenting a design space exploration that evaluates different custom MPSoC embedded architectures, implementing an on-line neural signal decoding algorithm. The evaluated design points feature different mappings of parallel software tasks onto customized ASIP processing cores. Experimental results, obtained by FPGA-based prototyping, assess the performance and hardware-related costs of the considered configurations. The clock frequency needed to respect real-time constraints was reduced to 22 MHz, making a step further towards the exploitation of custom heterogeneous MPSoCs for ultra-low power biomedical signal processing.

关键词： Algorithm design and analysis Computer architecture Decoding Noise reduction Program processors Real-Time systems Sorting

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Exploring the Concurrent Execution of HEVC Intra Encoding Algorithms for Heterogeneous Multi Core architectures

Exploring the Concurrent Execution of HEVC Intra Encoding Al...

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conference on design and architectures for signal & image processing

作者： Brandenburg, Jens Stabernack, Benno Heinrich Hertz Inst Nachrichtentech Berlin GmbH Fraunhofer Inst Telecommun Video Coding & Analyt Dept Embedded Syst Grp Einsteinufer 37 D-10587 Berlin Germany

ISBN: (纸本)9791092279115

By introducing novel algorithms in the emerging high efficiency video coding (HEVC) standard average bit-rate savings of 23% have been achieved in comparison to the H.264/AVC high profile reference encoder for the all intra configuration at the cost of an additional complexity increase. This high algorithmic complexity requires the development and integration of innovative approaches, like different parallelization strategies, heterogeneous designs and/or algorithmic optimizations, resulting in a complex design space. Early design verifications as well as performance evaluations are crucial to realize successful solutions, which meet the functional and non-functional constrains respectively. In this paper we propose a SystemC based heterogeneous multi-core model of an HEVC intra encoder, which is used to explore different design aspects and alternatives. Due to its cycle accurate nature the model is well suited to facilitate various performance evaluations and to drive HW/SW co-optimizations of the explored system, as we will discuss in this paper.

关键词： Algorithm design and analysis Encoding Estimation Optimization Prediction algorithms Standards Transforms

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