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International conference on Artificial Intelligence in China, ChinaAI 2019

International Conference on Artificial Intelligence in China...

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International conference on Artificial Intelligence in China, ChinaAI 2019

ISBN: (纸本)9789811501869

The proceedings contain 79 papers. The special focus in this conference is on Artificial Intelligence in China. The topics include: Latency Estimation of Big data processing Under the MapReduce Framework with Coupling Effects;zone-Based Resource Allocation Strategy for Heterogeneous Spark Clusters;battle Prediction System in StarCraft Combined with Topographic Considerations;task Scheduling Strategy for Heterogeneous Spark Clusters;research on Multi-priority Task Scheduling Algorithms for Mobile Edge Computing;Microblog Rumor Detection Based on Comment Sentiment and CNN-LSTM;a Guideline for Object Detection Using Convolutional Neural Networks;research on Prediction Model of Gas Emission Based on Lasso Penalty Regression Algorithm;plant Diseases Identification Based on Binarized Neural Network;water Meter Reading Area Detection Based on Convolutional Neural Network;A Dependency-Extended Method of Multi-pattern Matching for RDF Graph;Machine Learning for RF Fingerprinting Extraction and Identification of Soft-Defined Radio Devices;analysis on Suppression of Echo signal of Target Body and Translation in Micro-Doppler signal processing;Weighted Least Square Support Vector Regression Method with GGP-Based Sequential Sampling;data Stream Adaptive Partitioning of Sliding Window Based on Gaussian Restricted Boltzmann Machine;intrusion Detection Based on Convolutional Neural Network in Complex Network Environment;application of Neural Network in Performance Evaluation of Satellite Communication System: Review and Prospect;construction of Marine Target Detection dataset for Intelligent Radar Application;pedestrian Retrieval Using Valuable Absence Augmentation;hand Detection Based on Multi-scale Fully Convolutional Networks;An End-to-End Neural Network Model for Blood Pressure Estimation Using PPG signal;concept Drift Detection Based on Kolmogorov–Smirnov Test;Millimeter-Wave Beamforming of UAV Communications for small Cell Coverage.

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Vibration Institute Annual Training conference 2012

Vibration Institute Annual Training Conference 2012

引用

Vibration Institute Annual Training conference 2012

ISBN: (纸本)9781627480284

The proceedings contain 24 papers and 2 PowerPoint presentations. The topics discussed include: the influence of bearing asymmetry on rotor stability;understanding journal bearings;using cause and effect diagrams to rectify high vibration problems;electrostatic discharge in a condensing steam turbine driving a propylene compressor train;the practical application of signal processing;basic vibration analysis;vibration data acquisition and analysis for a small residential wind turbine;design and analysis of non-linear spring based passive suspension using B-spline collocation method;design and implementation of passive and multi-channel active noise treatment of a 2kW diesel generator;a study on effect of foam on the vibration quality of aluminum structure under combined loading;and an experimental study of the curve veering phenomenon.

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Feature-Based Watermark Localization in Digital Capture Systems

Feature-Based Watermark Localization in Digital Capture Syst...

引用

conference on Media Watermarking, Security, and Forensics

作者： Holub, Vojtech Filler, Tomas Digimarc Corp Beaverton OR 97008 USA

ISBN: (纸本)9780819499455

The "Internet of Things" is an appealing concept aiming to assign digital identity to both physical and digital everyday objects. One way of achieving this goal is to embed the identity in the object itself by using digital watermarking. In the case of printed physical objects, such as consumer packages, this identity can be later read from a digital image of the watermarked object taken by a camera. In many cases, the object might occupy only a small portion of the the image and an attempt to read the watermark payload from the whole image can lead to unnecessary processing. This paper proposes a statistical learning-based algorithm for localizing watermarked physical objects taken by a digital camera. The algorithm is specifically designed and tested on watermarked consumer packages read by an off-the-shelf barcode imaging scanner. By employing simple noise-sensitive features borrowed from blind image steganalysis and a linear classifier, we are able to estimate probabilities of watermark presence in every part of the image significantly faster than running a watermark detector. These probabilities are used to pinpoint areas that are recommended for further processing. We compare our adaptive approach with a system designed to read watermarks from a set of fixed locations and achieve significant savings in processing time while improving overall detector robustness.

关键词： Digital watermarking Image processing Scanners Feature extraction Cameras Binary data Image classification Sensors Steganalysis signal detection

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Preliminary results of a data acquisition sub-system for distributed, digital, computational, APD-based, dual-modality PET/CT architecture for small animal imaging

Preliminary results of a data acquisition sub-system for dis...

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Nuclear Science Symposium/Medical Imaging conference

作者： Fontaine, R Tétrault, MA Bélanger, F Viscogliosi, N Bérard, P Cadorette, J Leroux, JD Michaud, JB Pratte, JF Pepin, C Robert, S Lecomte, R Univ Sherbrooke Dept Elect Engn & Comp Engn Sherbrooke PQ J1K 2R1 Canada

ISBN: (纸本)0780387007

A new highly integrated data acquisition (DAQ) system for a combined, APD-based, dual-modality PET/CT scanner, implementing both analog and digital electronics on the same board, has been fabricated and tested. The DAQ system was designed to achieve high-precision (< 1 ns) coincidence detection in PET and high-rate event counting in CT imaging using the same detectors and electronics. One DAQ board holds 64 parallel detector channels that can be sampled directly at the output of the Charge-Sensitive Preamplifiers (CSP) at a rate of 100 MHz with free-running Analog-to-Digital Converters (ADC) from Maxim. Digital signal processing is performed in Field Programmable Gate Arrays (FPGAs) from Xilinx. Independent 500 V voltage regulators are mounted on board for optimum biasing of individual APDs coupled to phoswich detectors. The DAQ board has been fabricated on a 12 copper layers Printed Circuit Board (PCB). The low-noise analog front-end is directly interfaced on board through differential CSP outputs to the high-speed digital circuits for optimum coupling and noise immunity. The board shows excellent electrical characteristics with all circuitry powered up, featuring a mean signal to Noise And Distortion ratio (SINAD) of 47.7 dB over all 64 channels when supplied with a 10 MHz sine waveform at its input. Initial performance characteristics with BGO/LSO phoswich detectors are reported.

关键词： data acquisition

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MicroPET II: An ultra-high resolution small animal PET system

MicroPET II: An ultra-high resolution small animal PET syste...

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IEEE Nuclear Science Symposium/Medical Imaging conference (NSS/MIC)

作者： Tai, YC Chatziioannou, AF Silverman, RW Meadors, K Siegel, S Newport, DF Yang, Y Stickel, J Cherry, SR Washington Univ Mallinckrodt Inst Radiol Dept Radiol St Louis MO 63130 USA

ISBN: (纸本)0780376366

MicroPET II is a second-generation microPET scanner dedicated to high resolution PET imaging of small animals. The system consists of 90 scintillation detector modules arranged in a 3-ring configuration with a radius of 16.0 cm, and an axial extent of 4.9 cm. Each detector module consists of a 14x14 array of lutetium oxyorthosilicate crystals coupled to a multi-channel photomultiplier tube (Hamamatsu H7546) through a coherent optical fiber bundle. Printed circuit boards with a charge-division readout scheme were used to decode the 196 crystals in each array from 64 anode signals. Electronics from Concorde Microsystems, Inc. was used for signal amplification, digitization, and coincidence processing. Preliminary data showed a system with peak sensitivity of 2.26%. Energy resolution ranges from 28% to 75% with a mean of 42%. Image resolution ranges from 1.07 mm FWHM at the center of field of view (CFOV) to 1.40 mm FWHM in the radial direction and 1.14 mm FWHM in the tangential direction at 1 cm offset from CFOV. Further improvements in image and energy resolution are expected when the system geometry is fully modeled and the crystal lookup tables are improved.

关键词： Medical imaging

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Practical Tera-Scale Walsh-Hadamard Transform

Practical Tera-Scale Walsh-Hadamard Transform

引用

Future Technologies conference (FTC)

作者： Lu, Yi Natl Res Ctr Fundamental Software Beijing Peoples R China Univ Bergen Dept Informat Bergen Norway

ISBN: (纸本)9781509041718

In the mid-second decade of new millennium, the development of IT has reached unprecedented new heights. As one derivative of Moore's law, the operating system evolves from the initial 16 bits, 32 bits, to the ultimate 64 bits. Most modern computing platforms are in transition to the 64-bit versions. For upcoming decades, IT industry will inevitably favor software and systems, which can efficiently utilize the new 64-bit hardware resources. In particular, with the advent of massive data outputs regularly, memory-efficient software and systems would be leading the future. In this paper, we aim at studying practical Walsh-Hadamard Transform (WHT). WHT is popular in a variety of applications in image and video coding, speech processing, data compression, digital logic design, communications, just to name a few. The power and simplicity of WHT has stimulated research efforts and interests in (noisy) sparse WHT within interdisciplinary areas including (but is not limited to) signal processing, cryptography. Loosely speaking, sparse WHT refers to the case that the number of nonzero Walsh coefficients is much smaller than the dimension;the noisy version of sparse WHT refers to the case that the number of large Walsh coefficients is much smaller than the dimension while there exists a large number of small nonzero Walsh coefficients. Clearly, general Walsh-Hadamard Transform is a first solution to the noisy sparse WHT, which can obtain all Walsh coefficients larger than a given threshold and the index positions. In this work, we study efficient implementations of very large dimensional general WHT. Our work is believed to shed light on noisy sparse WHT, which remains to be a big open challenge. Meanwhile, the main idea behind will help to study parallel data-intensive computing, which has a broad range of applications.

关键词： Moore's law 64-bit computing Walsh-Hadamard Transform Noisy sparse WHT Parallel data-intensive computing

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Receive Descriptor Recycling for small packet high speed Ethernet traffic

Receive Descriptor Recycling for small packet high speed Eth...

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13th IEEE Mediterranean Electrotechnical conference (MELECON 2006)

作者： Walravens, Cedric Gaidioz, Benjamin Katholieke Univ Leuven Dept Elect Engn ESAT Louvain Belgium CERN Geneva Switzerland

ISBN: (纸本)1424400872

This paper presents the concept of Receive Descriptor Recycling to significantly reduce the performance drop associated with small packet Gigabit Ethernet traffic. Since limits and trade-offs are inherent when optimising for small packet traffic, all important aspects in this context are covered. Low-level measurements were performed at the CERN LHCb online data Acquisition (DAQ) system, which is to a large extend made up of commodity equipment. Results gathered show the Ethernet Controller (Network Interface Card, NIC) driver currently is the major bottleneck, preventing the system from reaching maximal Gigabit Ethernet performance. Receive Descriptor Recycling is implemented under Linux for Intel's e1000 NIC driver, and is shown to successfully remedy the driver inefficiency.

关键词： Telecommunication traffic

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New Techniques of Multiple Maneuvering targets Passive Tracking by Single Observer Based on Information Fusion

New Techniques of Multiple Maneuvering Targets Passive Track...

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International conference on signal processing Proceedings (ICSP)

作者： Jiegui Wang Jingqing Luo Electron. Eng. Inst. Hefei

The key techniques of multiple maneuvering targets passive tracking by single observer are discussed. Firstly, a new adaptive passive tracking initiation algorithm based on information fusion is proposed. Secondly, a new data association algorithm is proposed. Based on the information fusion of multiple features, the decision of synthetic data association is made. Finally, with the help of computer simulations, the proposed algorithms are proven to be correct and effective

关键词： Target tracking Frequency diversity Multidimensional systems Radio frequency Neural networks Computer simulation Algorithm design and analysis Extraterrestrial measurements Azimuth Radiofrequency integrated circuits

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WAVELET IMAGE COMPRESSION ALGORITHM FOR SIDE SCAN SONAR AND TELERADIOLOGY 2

WAVELET IMAGE COMPRESSION ALGORITHM FOR SIDE SCAN SONAR AND ...

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2nd conference on Wavelet Applications

作者： IMPAGLIAZZO, J GREENE, W HUYNH, QY USN UNDERSEA WARFARE CTR DIVNEWPORTRI 02841

ISBN: (纸本)0819418447

This wavelet based data compression algorithm addresses a growing need to handle large quantities of image data quickly and efficiently. This wavelet technique has been coded based on the assumption that small coefficients computed by the two-dimensional orthogonal wavelet transform are principally associated with image noise, and only the largest values are required to capture the information content of the respective source image. The approach has been successfully applied to one-dimensional signals in the design of signal classifiers. This particular algorithm for wavelet-based image compression has been designed and compared to the Joint Photographic Expert Group (JPEG) still picture image compression standard. Examples are shown of side scan sonar images, x rays, and laser line scan images.

关键词： Image compression Wavelets Image quality Wavelet transforms Image processing data compression Chromium Fast wavelet transforms Line scan image sensors Image transmission

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Automatic Feature Extraction and Traffic Management Using Machine Learning and Open CV Model

Automatic Feature Extraction and Traffic Management Using Ma...

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2021 IEEE International conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2021

作者： Prakash, M. Saravanakumar, C. Lakshmi, S. Kanaga Rose, J Dafni Praba, B. Data Science and Analytics Center Karpagam College of Engineering Coimbatore India St. Joseph's Institute of Technology Department of Information Technology Chennai India Sri Muthukumaran Institute of Technology Department of Management Studies Chennai India Loyola-ICAM College of Engineering and Technology Department of Information Technology Chennai India

ISBN: (纸本)9781665435215

Artificial intelligence covers a vast area of the real time domain which supports humans for all activities. Machine learning (ML) techniques learn the data and react based on the properties of these data. The properties are identified by extracting the features from the extracted data. Image and video processing methods are essentials in real time application due the IoT (Internet of Things) devices. The data of these types of data is more complex and also high dimensional in nature. These dimensions are reduced by performing reduction techniques before performing the classification process. The proposed ML model targets the traffic management by automating the traffic light based on the flow in the road. The traffic priority is assigned based on the congestion level on the road. The traffic classification is done by considering different features and infrastructure maintained by the city. Existing system suffers the problem due to the following reasons such as traffic congestion, longer waiting time, improper maintenance of the traffic signal, and high carbon emission and so on. The objective of the proposed model is to reduce the traffic congestion by performing traffic flow conditions and make the people comfortable level during the travel. © 2021 IEEE.

关键词： Image enhancement

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