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

共 5078 条记录，以下是4781-4790 订阅

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Modelling of an off-grid photovoltaic power supplying system for telecommunication equipment

Modelling of an off-grid photovoltaic power supplying system...

引用

International conference on Electrical Machines, Drives and Power Systems (ELMA)

作者： Ivan Nedyalkov Dimitar Arnaudov Nikolay Hinov Hristiyan Kanchev Department of Telecommunication University of telecommunications and post Sofia Bulgaria Tehnicheski universitet Sofija Sofia BG Department of Power Electronics Technical University of Sofia Sofia Bulgaria

ISBN: (纸本)9781509066926

In the following paperwork a photovoltaic power supplying system for telecommunication equipment has been modelled. The power supplied equipment can be radio communication equipment, active equipment for optic networks and other. The model is developed in LabView. The chosen capacities of the energy storage elements (ESE) can be determined by using the developed model. The model can be used to determine if the capacity of the ESE is enough or not.

关键词： Load modeling Batteries Communications technology Supercapacitors optical fibers data models

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Radar Active Composite Jamming Recognition Based on Characteristic Parameters

Radar Active Composite Jamming Recognition Based on Characte...

引用

Electronic technology, Communication and Information (ICETCI), IEEE International conference on

作者： Dong Xiang Guo Shanhong Fang Wei Wang Jun Han Yang School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

advances in active jamming modes pose a growing challenge for conventional guidance radars, necessitating the identification of diverse forms of jamming. Conventional methods of interference recognition are ineffective against a wide variety of interference styles, lack adaptability and generalizability, and are ill-equipped to handle the ever-changing and complex interference environment. To enhance the anti-interference capability of guided weapons, it is thus essential to develop a universal interference identification method characterized by enhanced intelligence and robustness. This paper presents the results of multidomain feature extraction for six types of composite interference and seven types of common single interference. Additionally, the classification effects of various features are visualized through simulations conducted under various JSR conditions. Following this, the eigenvalues acquired from various samples are employed as data sets, and the effectiveness of the classification is validated using three classifiers. Furthermore, to assess the generalizability of the proposed method, modifications are made to the test set conditions. Experiments utilizing simulations demonstrate that it can accurately identify common interference and achieve greater recognition precision at lower JSR values.

关键词： Weapons data visualization Interference Radar Feature extraction Robustness Eigenvalues and eigenfunctions

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Application of 5G Communication technology in Real-Time Monitoring and Remote Control of Gas Reservoir Type storage

Application of 5G Communication Technology in Real-Time Moni...

引用

Image Processing and Computer Applications (ICIPCA), IEEE International conference on

作者： Yujuan Liu Daqing Oilfield Gas Production Company Daqing China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

A set of long-term, continuous and high-precision dynamic monitoring system for oil reservoirs has been developed. Using fiber Bragg grating (FBG) as a permanent sensor in deep Wells, the temperature and pressure of the target layer can be simulated and detected. A data acquisition and analysis device are set up in the well to realize the demodulation and digitization of the analog quantity. The system uses GPRS mobile communication system to transmit data to the database of the monitoring center. And it can be published on the Internet in web format. It also provides users with a browsing interface and an alert SMS message in case of data anomalies. The data of oil-liquid two-phase interface in gas storage were measured by optical fiber oil-oil interface tester. This project intends to use deep learning method to deeply analyze the information of oil and gas two-phase interface in salt rock reservoir, so as to realize the monitoring of oil and gas two-phase interface based on deep learning. This software can be used to monitor the reservoir remotely, in real time and dynamically, so as to make timely and accurate decisions for reservoir managers and technicians.

关键词： Temperature sensors Deep learning Oils Reservoirs Rocks Message services Real-time systems Software Internet Monitoring

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Multiple Routing Configurations for datacenter Disaster Recovery Applicability and Challenges

Multiple Routing Configurations for Datacenter Disaster Reco...

引用

International conference on Computer and Communication Engineering, ICCCE

作者： Mohamed A. El-Serafy Ahmed M. Elsayed Moustafa H. Aly El-Sayed A. El-Badawy Ibrahim A. Ghaleb Arab Academy for Science Technology and Maritime Transport (AASTMT) Alexandria Egypt Electrical Engineering Department Alexandria University Alexandria Egypt

Cloud services based on data center networks are becoming very important. data centers host computing and storage resources, and these resources are served to customers through a network of data centers. Protecting such a network from disasters like earthquakes, hurricanes and terrorist attacks is crucial. In this paper, we propose the use of multiple routing configurations (MRC) IP fast reroute recovery process for data center disaster recovery. A demonstration of how this recovery scheme can be applied is shown. Also, we discuss the impact of the MRC recovery process on the post failure load distribution over network links and how this impact can be minimized. We propose a manual technique to minimize the impact of MRC and compare it to an automatic technique called modified MRC. Both the advantages and disadvantages of the two techniques are outlined. We conclude that a newer technique is needed that overcome the above mentioned disadvantages. The new technique should not manipulate link weights to achieve good load distribution. Our proposed new technique will implement unequal weight load balance inside open shortest path first (OSPF) and it is used with MRC. The new technique achieves good load distribution while overcoming all disadvantages.

关键词： conferences Computers Routing optical fiber communication optical fibers Abstracts Resilience

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Iterative Learning for Reliable Crowdsourcing Systems 11

Iterative Learning for Reliable Crowdsourcing Systems

引用

Annual conference on Neural Information Processing Systems

作者： David R. Karger Sewoong Oh Devavrat Shah Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

ISBN: (纸本)9781618395993

Crowdsourcing systems, in which tasks are electronically distributed to numerous "information piece-workers", have emerged as an effective paradigm for human-powered solving of large scale problems in domains such as image classification, data entry, optical character recognition, recommendation, and proofreading. Because these low-paid workers can be unreliable, nearly all crowdsourcers must devise schemes to increase confidence in their answers, typically by assigning each task multiple times and combining the answers in some way such as majority voting. In this paper, we consider a general model of such crowdsourcing tasks, and pose the problem of minimizing the total price (i.e., number of task assignments) that must be paid to achieve a target overall reliability. We give a new algorithm for deciding which tasks to assign to which workers and for inferring correct answers from the workers' answers. We show that our algorithm significantly outperforms majority voting and, in fact, is asymptotically optimal through comparison to an oracle that knows the reliability of every worker.

关键词： Religious Missions Personnel Proofreading Workers Vote Electronics Iterative algorithms optical character recognition confidence domains data entry

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A high resolution marine particle analysis system

A high resolution marine particle analysis system

引用

OCEANS

作者： T.T. Sutton T.L. Hopkins L.C. Langebrake Department of Marine Science University of South Florida Saint Petersburg FL USA Center for Ocean Technology University of South Florida Saint Petersburg FL USA

Suspended particulate matter is a primary variable with respect to biological and physical processes in the marine environment. The authors have developed an integrated towed instrument platform system to analyze as broad a spectrum of particulate sizes as possible using state-of-the-art technology to address basic oceanographic, environmental and military issues. The High Resolution Sampler (HRS) system uses several technologies to address different size classes of the marine particle spectrum. The 50 /spl mu/ to 2 cm (spherical diameter, SD) size classes are quantified using optical Plankton Counters (OPC, Focal Technologies, Inc.), employed alone or in tandem. The 50 /spl mu/ and greater size classes are also quantified using a non-intrusive laser light sheet/video system as well as a collimated dual light sheet system under development. As an alternative to optical systems, the authors are developing a multiple frequency, miniaturized forward-looking "chirp" sonar for ensonifying a parcel of water directly ahead of the light sheet (see Remsen et al., this volume). All data are collected in situ and transferred to deck for real-time display and storage. Verification systems include a plankton cod-end (50-162 /spl mu/ mesh) carousel (20 positions) net system for collecting particles which have passed through the optical sensors. The integrated optical-electronic sensor package is mounted on a towed vehicle which has been sea tested over several years in the Gulf of Mexico and Weddell Sea.

关键词： optical sensors Marine technology Biomedical optical imaging Marine vegetation Instruments Counting circuits optical collimators Frequency Sonar Displays

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Development of a soil detector based on optical sensor

Development of a soil detector based on optical sensor

引用

2008 International conference on optical Instruments and technology

作者： Zheng Lihua,Pan Luan,Li Minzan*,An Xiaofei Key Laboratory of Modern Precision Agriculture System Integration Research,China Agricultural University,Ministry of Education,Beijing 100083,China

An estimation model of the soil organic matter content has been built based on NIR spectroscopy and a portable soil organic matter detector based on optical sensor is *** detector uses a micro processor 89S52 as the Micro Controller Unit（MCU）and consists of an optical system and a control *** optical system includes a 850nm near-infrared lamp-house,a lamp-house driving-circuit,a Y type optical fiber,a probe,and a photoelectric *** control system includes an amplified circuit,an A/D circuit,a display circuit with LCD,and a storage circuit with USB *** the single waveband optical signal from the near-infrared lamp-house is transferred to the surface of the target soil via the incidence *** the reflected optical signal is collected and transferred to photoelectric sensor, where the optical signal is conveyed to the electrical ***,the obtained electrical signal is processed by 89S52 ***,the calculated soil organic matter content is displayed on the LCD and stored in the USB *** calibration experiment using the estimation model of the soil organic matter is *** decision coefficient（R） reaches 0.9839 between the measured data by the soil organic matter sensor and by the laboratory chemistry method.

关键词： optical Sensor Near-Infrared Spectrum Soil Organic Matter optical Fiber Micro Controller Unit

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Detection of trace gas contaminants using diode laser based methods

Detection of trace gas contaminants using diode laser based ...

引用

Pacific Rim conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： F.K. Tittel Department of Electrical and Computer Engineering Rice University Houston TX USA

In recent years, tunable diode laser based sensors have found widespread applications to the sensitive and selective detection of environmentally important atmospheric trace gases in real time. Numerous analytical tools based on different optical and non-optical techniques have been developed in the past. However, an ideal gas sensor technology that meets such diverse requirements as high sensitivity and selectivity, wavelength tunability of multi-component detection, fully computerized, room temperature operation (i.e. no liquid nitrogen cooling), large dynamic range, compactness, high reliability (insensitive to vibrations and large variations in ambient temperature), relative ease of use and cost-effectiveness in terms of initial and maintenance costs, is a challenging research and development task. Recent significant technological advances of semiconductor diode lasers and tunable all solid state lasers, novel bulk and waveguide infrared nonlinear materials for parametric optical frequency conversion, optical fiber amplifiers and couplers, thermoelectric coded low noise infrared detectors, and advanced data acquisition and signal processing techniques have had a considerable impact on development of state of the art of diode laser based trace gas sensors.

关键词： Diode lasers Tunable circuits and devices optical signal processing Gas detectors Temperature distribution Temperature sensors Solid lasers optical waveguides Infrared detectors Atmospheric waves

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The Successive Analysis Method in Monte Carlo H Filter and Numerical Experiments

The Successive Analysis Method in Monte Carlo H Filter and N...

引用

International conference on Information technology, Computer Engineering and Management Sciences (ICM)

作者： Yueqi Han Zhuhui Wu Yunfeng Wang Xiaoping Cheng Jin Qian National Key Laboratory on Electromagnetic Environmental Effects and Electro-optical Engineering People's Liberation Army University of Science and Technology Nanjing China Jinling Institute of Technology Nanjing China Institute of Meteorology People's Liberation Army University of Science and Technology Nanjing China

The data assimilation method named "Monte Carlo H ∞ filter" is introduced based on H ∞ filter technique and Monte Carlo method. This method applies to nonlinear systems in condition of lacking the statistical properties of observational errors. For assimilation problem of complicated models with higher dimensions, because there are illusive correlations in the distance due to the statistical properties of correlation for errors are computed by statistical method with finite members of forecasting ensemble, the effective method for improving assimilation qualities is to make a truncation for correlative fields by choosing truncation radius and setting the values of correlative covariance in the distance equal to 0 when members are definite. In addition, these methods can overcome the difficulty of inverse computation about higher-dimensional matrix and reduce computational cost and storage capacity. Therefore, in this paper, the method of successive analysis is used by Monte Carlo H ∞ filter method. It shows the successive analysis is effective and the smallest level factor founded by search method is flow-dependent in Monte Carlo H ∞ filter method.

关键词： Monte Carlo methods Covariance matrix Computational modeling Filtering algorithms data assimilation Estimation Correlation

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Text segmentation for automatic document processing

Text segmentation for automatic document processing

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International conference on Emerging Technologies and Factory Automation (ETFA)

作者： D.P. Mital Goh Wee Leng School of Electrical & Electronic Engineering Nanyang Technological University Singapore

There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. Technique is based on differential-processing text extraction concept. The proposed technique is capable of analysing complex document image layouts. Document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique.

关键词： Image segmentation optical character recognition software Graphics storage automation data mining Image analysis Technical drawing Image converters Design engineering Paper technology

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