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检索条件"任意字段=16th Conference on Signal and Data Processing of Small Targets"

共 487 条记录，以下是131-140 订阅

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Radar Classifier for small Manned Air targets

Radar Classifier for Small Manned Air Targets

引用

European Radar conference (EURAD)

作者： Gilles Prémel-Cabic Jacco J.M. de Wit Miguel Caro Cuenca Thales Nederland B.V. Delft The Netherlands TNO Den Haag The Netherlands

ISBN: (纸本)9781728137339;9782874870576

the ALFA project aims at timely detection, tracking, classification, and intent assessment of LSS targets. the system relies on a heterogeneous sensor suite, including radar. the objective of the radar component is sector surveillance including target classification. Since the revisit time needs to be short, classification must be done with very short time-on-target. Based on measurements, three suitable features for classification of two relevant target classes, i.e., small aircraft and helicopters, have been developed. these features exploit the targets' micro-Doppler characteristics and their evolution over time. Best classification performance is obtained by using a combination of these features and by considering the variation of the features' distributions depending on the signal-to-noise ratio.

关键词： Blades Helicopters Sea measurements signal to noise ratio Radar tracking

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New Doppler processing for the Detection of small and Slowly-Moving targets in Highly Ambiguous Radar Context 26

New Doppler Processing for the Detection of Small and Slowly...

引用

European signal processing conference (EUSIPCO)

作者： Aouchiche, Linda Ferro-Famil, Laurent Adnet, Claude Univ Rennes 1 Rennes France Thales Air Syst Limours France

ISBN: (纸本)9789082797015

this paper presents a novel Doppler processing scheme for pulse Doppler radars operating in at intermediate Pulse Repetition Frequency (PRF) and suffering from range and Doppler ambiguities. One of the main drawbacks of the classical Doppler processing approach concerns the suppression of small and slowly-moving targets when rejecting ground clutter returns. In order to address this problem a two-step Doppler method is proposed in this paper. the first step uses a new iterative algorithm that resolves ambiguities and detects fast (exo-clutter) targets. the detection of slow (endo-clutter) targets is then performed by an adaptive detection scheme that uses a new covariance matrix estimation technique. Pulse trains with different characteristics are then associated for enhanced detection performance.

关键词： Doppler effect Clutter Covariance matrices Training data signal resolution Estimation Doppler radar

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Block-Division Based Ultra-wideband Fusion of Multiple Radar Bands for Resolution Enhanced Imagery 12

Block-Division Based Ultra-wideband Fusion of Multiple Radar...

引用

12th International conference on signal processing and Communication Systems (ICSPCS)

作者： Yuan, Saisai Chen, Chengzeng Xu, Xiaojian Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Beijing Inst Radio Measurement Beijing Peoples R China

ISBN: (纸本)9781538656020

Parametric model based ultra-wideband fusion of multiple radar band data is usually not directly applicable to radar image processing for large sized complex targets, due to the fact that the required model orders are extremely high. In this paper, a block-division based data fusion technique is proposed, which can be used for multiple radar band fusion over ultra-wide bandwidth and image resolution enhancement for complex targets. In image domain, a large sized complex target is first divided into small blocks for each radar band. Each block is then equivalent to a small sized simple target whose missing phase history data between two different radar bands can be interpolated based on parametric models derived from the measurement data of the corresponding bands. Resolution enhanced image can then be reconstructed by integrating all the image blocks generated from the multi-band fused data. Numerical examples are presented to demonstrate the usefulness of the proposed technique.

关键词： radar imaging ultra-wideband data fusion complex target block-division

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An Agnostic data-Driven Approach to Predict Stoppages of Industrial Packing Machine in Near

An Agnostic Data-Driven Approach to Predict Stoppages of Ind...

引用

International conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Gabriel Filios Ioannis Katsidimas Sotiris Nikoletseas Stefanos Panagiotou theofanis P. Raptis Department of Computer Engineering and Informatics University of Patras Greece Institute of Informatics and Telematics National Research Council Pisa Italy

ISBN: (数字)9781728143514

ISBN: (纸本)9781728198040

As data awareness in manufacturing companies increases with the deployment of sensors and Internet of things (IoT) devices, data-driven maintenance and prediction have become quite popular in the Industry 4.0 paradigm. Machine Learning (ML) has been recognised as a promising, efficient and reliable tool for fault detection use cases, as it allows to export important knowledge from monitored assets. Scientists deal with issues such as the small amount of data that indicate potential problems, or the imbalance which exists between the standard process data and the data inadequacy of the systems to make a high precision forecast. Currently, in this context, even large industries are not able to effectively predict abnormal behaviors in their tools, processes and equipment, when adopting strategies to anticipate crucial events. In this paper, we propose a methodology to enable prediction of a packing machine's stoppages in manufacturing process of a large industry, by using forecasting techniques based on univariate time series data. there are more than 100 reasons that cause the machine to stop, in a quite big production line length. However, we use a single signal, concerning the machines operational status to make our prediction, without considering other fault or warning signals, hence its characterization as "agnostic". A workflow is presented for cleaning and preprocessing the data, and for training and evaluating a predictive model. Two predictive models, namely ARIMA and Prophet, are applied and evaluated on real data from an advanced machining process used for packing. Training and evaluation tests indicate that the results of the applied methods perform well on a daily basis. Our work can be further extended and act as reference for future research activities that could lead to more robust and accurate prediction frameworks.

关键词： Machine learning Time series analysis Production Industries Forecasting Predictive models Manufacturing

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Device-Free Acoustic Motion Tracking over targets with Large Sizes

Device-Free Acoustic Motion Tracking over Targets with Large...

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IEEE Internatonal conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Yuqi Li Ruirong Chen XIngzhe Song Wei Gao Wei Chen Erick Forno University of Pittsburgh Children's Hospital of Pittsburgh

ISBN: (数字)9781728146010

ISBN: (纸本)9781728146027

Device-free acoustic motion tracking allows a commodity mobile device to precisely track the human user's motion, without applying any extra hardware tracker on the human body. Most of current device-free acoustic motion tracking systems, however, are limited to tracking the motion of small parts of the human body with negligible sizes, such as human fingers. their accuracy of motion tracking will significantly degrade when being applied to targets with large sizes, such as humans' hands, arms or body trunk. We envision the key reason to such degradation as the target size's significant impact on the pattern of the reflected acoustic signal, and develop analytical modeling of such reflected acoustic signal from large targets. Based on such modeling, we present a new system called Acoustic Tracking over targets with LArge Sizes (ATLAS), which ensures precise motion tracking over large targets by correctly interpreting the reflected acoustic signal and extracting the phase from the signal. Experiment results over commodity Android smartphones show that ATLAS can reduce the error of motion tracking by more than 75%, when being applied to targets with heterogeneous sizes in practice.

关键词： Side reflection Large size target acoustic motion tracking Human Body targets audio signals large sizes tracking atlas small parts Acoustics

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Segmentation and Stitching Improves Handwriting Recognition on datasets with Few Samples 16

Segmentation and Stitching Improves Handwriting Recognition ...

引用

16th International conference on Frontiers in Handwriting Recognition (ICFHR)

作者： Stewart, Seth Pinto, Lucas Barrett, Bill Brigham Young Univ Dept Comp Sci Provo UT 84602 USA

ISBN: (纸本)9781538658758

through the mid-nineties, handwriting recognition was performed with segmentation-based approaches, which rely on hand-crafted and script-specific segmentation algorithms to isolate characters for subsequent recognition. these systems have since been eclipsed by segmentation-free systems that learn to segment implicitly and to recognize characters in a sequential signal automatically. It may be easy therefore to consider character segmentation a solved problem. However, we show that for small or lexically unvaried training datasets, there is potential to leverage either manually- or automatically-provided segmentation information to guide the learning process in segmentation-free systems, leading to significantly higher generalization accuracy using few training exemplars. We show that providing just a small amount of segmentation information by isolating and synthesizing new sequences from a handwriting sample allows very small annotated datasets to achieve accuracy comparable to that of much larger annotated datasets at only a fraction of the human effort. We provide validation for this technique on the George Washington Papers word database, a similarly sized journal word corpus ( the Smith collection), subsets of the well-known IAM handwriting database, and sequences of MNIST digits.

关键词： data augmentation handwriting recognition machine learning

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An Infrared small Target Detection Method Based on Block Compressed Sensing 13th

An Infrared Small Target Detection Method Based on Block Com...

引用

13th International conference on Intelligent Information Hiding and Multimedia signal processing (IIH-MSP)

作者： Yang, Jingli Cui, Zheng Jiang, Shouda Harbin Inst Technol Dept Automat Test & Control Xidazhistr 92 Harbin 150080 Heilongjiang Peoples R China

ISBN: (纸本)9783319638560;9783319638553

Aiming at improving the real-time performance of infrared weapon systems, a method based on block compressed sensing is proposed to detect infrared small target, which is also easy to be implemented with hardware. the proposed method can detect and locate small infrared targets by classifying compressed results of blocks. In addition, in order to solve the low detection accuracy caused by using uniform block, the proposed method uses overlapping blocks to reduce the maximum distance between the center of the test sample block and that of the target. Experiments show that the proposed method can effectively improve the detection accuracy of infrared small targets.

关键词： Compressed sensing Infrared target detection Overlapping blocks

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Long-term testing of acoustic system for tracking low-flying aircraft 10

Long-term testing of acoustic system for tracking low-flying...

引用

10th International conference on Knowledge and Systems Engineering (KSE)

作者： Sedunov, Alexander Salloum, Hady Sutin, Alexander Sedunov, Nikolay Stevens Inst Technol STAR Ctr Hoboken NJ 07030 USA

ISBN: (纸本)9781538661130

Stevens Institute of Technology conducted a long-term test of an acoustic system designed to track low-flying small aircraft in remote locations. the system consists of 4 nodes located between 1 and 4 km apart in a mountainous terrain. Each node is comprised of a pyramid-shaped volumetric cluster of 5 microphones, an embedded computer, and a pan-tilt-zoom camera steered to detected targets in real time. A communication device was used to transfer data to a centralized location. Each node estimates the direction of arrival toward the sound sources and sends it along to a central processing computer. the central computer combines the data from all nodes to generate tracks and classify targets. the duration and the scale of the deployment allowed to identify and solve many problems, including the effects of propagation delays between nodes on cooperative localization and tracking, the seasonal changes in environmental noise, persistent and transient noise sources, and the diversity of targets of opportunity and their signatures. the propagation delay effects led to the development of separate trackers for review of target trajectories and for immediate action such as automatically steering the camera.

关键词： signal processing passive acoustics low-flying aircraft

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data Hiding for Text Document in PDF File 13th

Data Hiding for Text Document in PDF File

引用

13th International conference on Intelligent Information Hiding and Multimedia signal processing (IIH-MSP)

作者： Kuribayashi, Minoru Fukushima, Takuya Funabiki, Nobuo Grad Sch Nat Sci & Technol Kita Ku 3-1-1 Tsushima Naka Okayama 7008530 Japan

ISBN: (纸本)9783319638560;9783319638553

Among data hiding methods for documents, the spaces between words and paragraphs are popular features for embedding information. However, in order to avoid the visible distortions, the embedding capacity is limited to be small in conventional methods. In this paper, we regard a collection of space lengths as one dimensional feature vector and apply signal processing approaches for the vector to embed more information with less distortions. We also focus on the Portable Document Format (PDF) files and propose a new data hiding method for PDF files with large capacity. Considering the secrecy of the embedded information, a random permutation and dither modulation are introduced in the operation.

关键词： Portable Document Format QIM Dither modulation Permutation

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Novest: Position Estimation of Finger on Back of Hand with a small Ranging Sensor Array 16th

Novest: Position Estimation of Finger on Back of Hand with a...

引用

16th IFIP TC 14 International conference on n Entertainment Computing (ICEC)

作者： Ishikawa, Yu Hoshino, Junichi Univ Tsukuba Grad Sch Syst & Informat Engn 1-1-1 Tennodai Tsukuba Ibaraki Japan

ISBN: (纸本)9783319667157;9783319667140

this article suggests a technique to make back of the hand (BOH) a track pad by attaching a distance ranging sensor on the side of a smart watch. It does not only estimate the position of a finger on BoH but also distinguishes the presence or absence of distance between the operating finger and BoH, which functions as an operating surface. Distance data and signal strength data are obtained by distance ranging sensor array, and the presence of distance is distinguished by machine learning. Our performance evaluation shows the accuracy of finger position estimation is 4.2 mm (SD = 1.2 mm).

关键词： Smartwatch Position estimation Ranging sensor array

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