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检索条件"任意字段=Conference on Advances in Optical Data Storage Technology"

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advances in research on crop identification using SAR

Advances in research on crop identification using SAR

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International conference on Agro-Geoinformatics

作者： Di Wang Qingbo Zhou Yan Su Zhongxin Chen Key Laboratory of Agri-informatics Ministry of Agriculture Institute of Agriculture Resources and Regional Planning Chinese Academy of Agriculture Sciences China Remote Sensing Center of Agricultural and Pastoral Office Qinghai China

Accurate crop identification can achieve a good estimation for crop sown acreage, planting structure and spatial distribution, as well as provide key input parameters for crop yield estimation model. Due to that crop acreage information is the important basis for making national food policy and economy plan, therefore, it is very important that conduct the study on crop identification. In view of the advantages of high temporal resolution, wide coverage and low cost, remote sensing has been used in a wide arrange of earth observation activities and thus provides a useful tool for crop recognition and planting acreage monitoring at a large scale. Since the 1980's, optical remote sensing has been widely used to identify various crops, however, optical images are not often available in the key growth period of crops, owing to the cloudy and rainy weather. Thus, it has a negative effect on the accuracy and timeliness of crop area monitoring. As a new high-technology with an advantage of all-weather, all-time, high resolution and wide coverage, synthetic aperture radar (SAR) has been widely applied in agricultural condition monitoring field and thus provides a strong complement and support for crop identification in data and technology aspect. As the updating and improvement of function parameters and performance index of radar sensors, it has been an important field of agriculture remote sensing that getting the information of crop sown acreage, growing condition and yield by SAR. In this paper, according to a mainline that the development progress of radar technology in the recent twenty years, the progress of studies and applications on crop discrimination by SAR is systematically summarized, and the conclusion includes 4 aspects: the first is early studies (from the late 1980's to 2002), are characterized by using single band, single polarization and multi-temporal SAR data for crop identification; The second is crop acreage monitoring based on multi-polarization, mu

关键词： Agriculture Synthetic aperture radar Remote sensing Classification algorithms Monitoring Accuracy

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Human Action Recognition using Local Spatio-Temporal Discriminant Embedding

Human Action Recognition using Local Spatio-Temporal Discrim...

引用

26th IEEE conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.10

作者： Kui Jia Dit-Yan Yeung Shenzhen Institute of Advanced Integration Technology CAS/CUHK Shenzhen China Hong Kong University of Science and Technology Hong Kong China

Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions on embedded low-dimensional manifolds. We propose a novel manifold embedding method, called Local Spatio-Temporal Discriminant Embedding (LSTDE). The discriminating capabilities of the proposed method are two-fold: (1) for local spatial discrimination, LSTDE projects data points (silhouette-based image frames of human action sequences) in a local neighborhood into the embedding space where data points of the same action class are close while those of different classes are far apart;(2) in such a local neighborhood, each data point has an associated short video segment, which forms a local temporal subspace on the embedded manifold. LSTDE finds an optimal embedding which maximizes the principal angles between those temporal subspaces associated with data points of different classes. Benefiting from the joint spatio-temporal discriminant embedding, our method is potentially more powerful for classifying human actions with similar space-time shapes, and is able to perform recognition on a frame-by-frame or short video segment basis. Experimental results demonstrate that our method can accurately recognize human actions, and can improve the recognition performance over some representative manifold embedding methods, especially on highly confusing human action types.

关键词： Humans Shape Space technology Video sequences Learning systems Information analysis Computer vision optical computing Image recognition Content addressable storage

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Dynamic Resource Allocation for Deep Learning Clusters with Separated Compute and storage

Dynamic Resource Allocation for Deep Learning Clusters with ...

引用

IEEE Annual Joint conference: INFOCOM, IEEE Computer and Communications Societies

作者： Mingxia Li Zhenhua Han Chi Zhang Ruiting Zhou Yuanchi Liu Haisheng Tan CAS Key Lab of Wireless-Optical Communications University of Science and Technology of China China Microsoft Research Asia China Southeast University Nanjing China

The separation of compute and storage in modern cloud services eases the deployment of general applications. However, with the development of accelerators such as GPU/TPU, Deep Learning (DL) training is suffering from potential IO bottlenecks when loading data from storage clusters. Therefore, DL training jobs need to either create local cache in the compute cluster to reduce the bandwidth demands or scale up the IO capacity with higher bandwidth cost. It is full of challenges to choose the best strategy due to the heterogeneous cache/IO preference of DL models, shared dataset among multiple jobs and dynamic GPU scaling of DL training. In this work, we exploit the job characteristics based on their training throughput, dataset size and scalability. For fixed GPU allocation of jobs, we propose CBA to minimize the training cost with a closed-form approach. For clusters that can automatically scale the GPU allocations of jobs, we extend CBA to AutoCBA to support diverse job utility functions and improve social welfare within a limited budget. Extensive experiments with production traces validate that CBA and AutoCBA can reduce IO cost and improve total social welfare by up to 20.5% and 2.27×, respectively, over the state-of-the-art schedulers for DL training.

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Cyber-Physical System for Smart Factories: Case Study of the Taiwan Instrument Research Institute of the National Applied Research Laboratories

Cyber-Physical System for Smart Factories: Case Study of the...

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IEEE International conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Shih-Jie Chou Yi-Chih Chen Vipin Ting Rui-Cian Weng Chun-Ming Chang Chun-Li Chang Wen-Hong Wu Jung-Hsing Wang Tzong-Dar Wu Taiwan Instrument Research Institute National Applied Research Laboratories Hsinchu Taiwan National Taiwan Ocean University Keelung Taiwan

ISBN: (数字)9781728173993

ISBN: (纸本)9781728174006

A small-scale smart factory cyber-physical system (CPS) developed by the Taiwan Instrument Research Institute of the National Applied Research Laboratories uses visualization to decentralize big data searches and log mining. The ELK-acronym for three open source projects, Elasticsearch, Logstash, and Kibana-service effectively handles decentralized storage and processing, full-text searches, log mining, and visualization of big data. The real-time production system may thus be controlled to achieve smart management and factory optimization. This study introduced the construction of CPS, which connects with data obtained from optical factory sensors. Proposed to meet data collection needs, ELK was incorporated with an app to allow operation on mobile phones.

关键词： Production facilities Production Smart manufacturing Monitoring Internet of Things Big data Laboratories

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Features of the implementation of software package for circuits hierarchical clustering

Features of the implementation of software package for circu...

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International conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： R. Bazylevych I. Podolskyy Institute of Computer Science and Information Technologies Lviv Polytechnic National University Lviv Ukraine

The high-speed implementation of the algorithm of hierarchical clustering for very large-scale circuits is considered in this issue. It proposes effective date structures and program implementation with optimal utiliz... 详细信息

关键词： Software packages Circuits Clustering algorithms Large-scale systems Merging data structures optical character recognition software Very large scale integration Computer science Information technology

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Watermark Selection for Light Field Rendering in FTV

Watermark Selection for Light Field Rendering in FTV

引用

3DTV conference

作者： Evlambios E. Apostolidis Georgios A. Triantafyllidis Informatics and Telematics Institute Department of Applied Informatics & Multimedia Technological Educational Institute of Crete Thessaloniki Greece

The recent advances in Image Based Rendering (IBR) has pioneered a new technology, named Free-View Television (FTV), in which the viewers select freely the viewing position and angle of the transmitted multi-view video. In Free-View Television, a person might record a personal video of this arbitrarily selected view and misuse this content, therefore, it is apparent that copyright and copy protection problems exist and should be solved for free- view TV. Among many alternative rights management methods, the copyright problem for visual data is approached by means of embedding hidden imperceptible information, called watermark, into the image and video content. In this paper, we focus on this problem by proposing a simple watermarking scheme. The watermark should not only be resistant to common video processing and multi-view video processing operations, it should also be extracted from a generated video for an arbitrary view. Based on this remark, we evaluate the performance of several watermarks according to their ability to survive in the new generated arbitrary view.

关键词： Watermarking TV Rendering (computer graphics) Cameras Layout Signal processing algorithms optical arrays Interpolation Informatics Educational technology

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Wearable Advancements and its Implementation in Sports

Wearable Advancements and its Implementation in Sports

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International conference on Information Systems and Computer Networks (ISCON)

作者： Chander Kant Bhardwaj Ram Bhushan Agnihotri Amity Institution of Information Technology Amity University Noida Uttar Pradesh India

ISBN: (数字)9781728136516

ISBN: (纸本)9781728136523

In this research paper we will examine about the utilization of technological applications. This is presently far reaching crosswise over many significant sports tec. disciplines & The selection of these apparatuses to pick up an `upper hand' is an undeniably vital element of tip top sports. These developments have molded the manner in which information is gathered and handled, how data is handed-off among mentors and staff or to competitors, and has bigly affected the manner by which competitors are observed in the everyday preparing and rivalry conditions. This survey features and gives instances of the absolute most recent advances for information gathering and handling, input strategies and preparing devices. We wrap up by talking about certain contemplations for sports researchers and mentors before actualizing new technologies.

关键词： Sports Technological innovation Games Wearable computers Estimation optical sensors

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Towards Trustworthy Multi-Label Sewer Defect Classification via Evidential Deep Learning

Towards Trustworthy Multi-Label Sewer Defect Classification ...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Chenyang Zhao Chuanfei Hu Hang Shao Zhe Wang Yongxiong Wang The College of Software Engineering Southeast University Nanjing China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspection system, benefiting from the capability of data-driven feature representation. However, the inherent uncertainty of sewer defects is ignored, resulting in the missed detection of serious unknown sewer defect categories. In this paper, we propose a trustworthy multi-label sewer defect classification (TMSDC) method, which can quantify the uncertainty of sewer defect prediction via evidential deep learning. Meanwhile, a novel expert base rate assignment (EBRA) is proposed to introduce the expert knowledge for describing reliable evidences in practical situations. Experimental results demonstrate the effectiveness of TMSDC and the superior capability of uncertainty estimation is achieved on the latest public benchmark.

关键词： Deep learning Visualization Uncertainty Urban areas Estimation Inspection Benchmark testing

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data Driven Approach to Brahmi OCR Error Correction and Sinhala Meaning Generation from Brahmi Character Array

Data Driven Approach to Brahmi OCR Error Correction and Sinh...

引用

International conference on advances in ICT for Emerging Regions

作者： Samushika Wickramarathna Lochandaka Ranathunga Department of Information Technology University of Moratuwa Sri Lanka

ISBN: (数字)9781728151564

ISBN: (纸本)9781728151571

Brahmi is one of ancient scripting languages used in India, South and Central Asia. Brahmi inscriptions are the main source of getting information about ancient Sri Lanka. But manual translation process is very time consuming because Brahmi alphabet, word pattern, meaning and grammar are completely differing than the current Sinhala context. As these inscriptions have been discovered under the drip ledges of caves, rocks and slabs, it is a big challenge for Archaeologists to getting the data from these inscriptions and translating into Sinhala sentences because of various noises. This research paper is containing the after process of OCR character recognition phase, which proposed and implemented an efficient system which can take recognized Brahmi character array without word boundaries as input and convert it into meaningful Sinhala sentences by overcoming the OCR errors and word identification scoring method. Full system which consist of four modules is taking inputs of Brahmi inscription images, and this research module is the third module which takes the recognised Brahmi character array from the output of second module and mainly focused on word detection, overcome OCR errors using 3 error correction methods, Brahmi language model using 2 Bigram models and 1 Trigram model and translation.

关键词： optical character recognition software Arrays Error correction Character recognition Bidirectional control Grammar

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A Cyberphysical Synthesis Approach for Error Recovery in Digital Microfluidic Biochips 12

A Cyberphysical Synthesis Approach for Error Recovery in Dig...

引用

Design, Automation & Test in Europe conference & Exhibition

作者： Yan Luo Krishnendu Chakrabarty Tsung-Yi Ho Duke University Durham NC National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9783981080186

Droplet-based "digital" microfluidics technology has now come of age and software-controlled biochips for healthcare applications are starting to emerge. However, today's digital microfluidic biochips suffer from the drawback that there is no feedback to the control software from the underlying hardware platform. Due to the lack of precision inherent in biochemical experiments, errors are likely during droplet manipulation, but error recovery based on the repetition of experiments leads to wastage of expensive reagents and hard-to-prepare samples. By exploiting recent advances in the integration of optical detectors (sensors) in a digital microfluidics biochip, we present a "physical-aware" system reconfiguration technique that uses sensor data at checkpoints to dynamically reconfigure the biochip. A re-synthesis technique is used to recompute electrode-actuation sequences, thereby deriving new schedules, module placement, and droplet routing pathways, with minimum impact on the time-to-response.

关键词： system recovery Biochips Microfluidics Hardware Platform wastage Digit Sensor data Digital

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