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IEEE International conference on Communications Workshops

作者： Ning Zhang Ming Li Wenjing Lou Dept. of Electr. & Comput. Eng. Worcester Polytech. Inst. Worcester MA USA

ISBN: (纸本)9781612842325

With recent advances in communication and data storage technology, an explosive amount of information is being collected and stored in the Internet. Even though such vast amount of information presents great opportunities for knowledge discovery, organizations might not want to share their data due to legal or competitive reasons. This posts the challenge of mining knowledge while preserving privacy. Current efficient privacy-preserving data mining algorithms are based on an assumption that it is acceptable to release all the intermediate results during the data mining operations. However, it has been shown that such intermediate results can still leak private information. In this work, we use differential privacy to quantitatively limit such information leak. Differential privacy is a newly emerged privacy definition that is capable of providing strong measurable privacy guarantees. We propose Secure group Differential private Query (SDQ), a new algorithm that combines techniques from differential privacy and secure multiparty computation. Using decision tree induction as a case study, we show that SDQ can achieve stronger privacy than current efficient secure multiparty computation approach, and better accuracy than current differential privacy approach while maintaining efficiency.

关键词： Privacy data mining secure multi-party computation decision tree induction

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Robust dimensioning and routing for dynamic WDM networks

Robust dimensioning and routing for dynamic WDM networks

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International conference on Wireless and optical Communications ( WOCC)

作者： Steven S. Lumetta Xiaolan J. Zhang Sun-il Kim Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign USA Electrical and Computer Systems Engineering University of Alaska Anchorage USA

ISBN: (纸本)9781424475971

advances in device technology and dense wavelength division multiplexing have enabled modern optical backbones to provide high data rate services in a cost-effective manner. At the same time, applications are emerging with the potential to leverage these capabilities for short time spans: load migration for Internet clouds, integrated computational grids, and remote surgery. Until such applications mature, investment in real networks to support them is unattractive, but without such investment, the applications mature slowly. Current networks thus remain dominated by lightpaths provisioned by hand, over the space of days or weeks. Three problems must be solved to enable a rapid transition to dynamic optical networks that integrate well with demands at the Internet Protocol (IP) level: traffic characterization, resource dimensioning, and resource allocation. Traffic characterization provides models of traffic demand variation and evolution, which can only be predicted at this stage. In this paper, we provide an overview of our past and current work on the resource dimensioning and allocation subproblems. We describe our methodology for dimensioning networks based on expected traffic behavior. We next offer a few observations about dealing with statistical variations in network behavior. We develop analytic models of opportunity cost and a congestion-aware routing algorithm based on the models. A near-optimal threshold value for this algorithm can be chosen based on analysis, and simulations demonstrate that this choice is robust to variations in both topology and capacity.

关键词： Robustness Routing WDM networks Telecommunication traffic Traffic control Investments Resource management Algorithm design and analysis Wavelength division multiplexing Biomedical optical imaging

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CAPTURING GROUND TRUTH SUPER-RESOLUTION data

CAPTURING GROUND TRUTH SUPER-RESOLUTION DATA

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IEEE International conference on Image Processing

作者： Chengchao Qu Ding Luo Eduardo Monari Tobias Schuchert Jurgen Beyerer Vision and Fusion Laboratory Karlsruhe Institute of Technology Fraunhofer IOSB

ISBN: (纸本)9781467399623

Super-resolution (SR) offers an effective approach to boost quality and details of low-resolution (LR) images to obtain high-resolution (HR) images. Despite the theoretical and technical advances in the past decades, it still lacks plausible methodology to evaluate and compare different SR algorithms. The main cause to this problem lies in the missing ground truth data for SR. Unlike in many other computer vision tasks, where existing image datasets can be utilized directly, or with a little extra annotation work, evaluating SR requires that the dataset contain both LR and the corresponding HR ground truth images of the same scene captured at the same time. This work presents a novel prototype camera system to address the aforementioned difficulties of acquiring ground truth SR data. Two identical camera sensors equipped with a wide-angle lens and a telephoto lens respectively, share the same optical axis by placing a beam splitter in the optical path. The back-end program can then trigger their shutters simultaneously and precisely register the region of interests (ROIs) of the LR and HR image pairs in an automated manner free of sub-pixel interpolation. Evaluation results demonstrate the special characteristics of the captured ground truth HR-LR face images compared to the simulated ones. The dataset is made freely available for noncommercial research purposes.

关键词： Super-resolution Face hallucination Image registration Imaging system dataset

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High-Fidelity Strain and Temperature Measurements of Li-Ion Batteries Using Polymer optical Fiber Sensors

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JOURNAL OF THE ELECTROCHEMICAL SOCIETY 2022年第10期169卷 100508-100508页

作者： Bonefacino, Julien Ghashghaie, Sasan Zheng, Tianye Lin, Chun-Pang Zheng, Wenwei Blanquer, Laura Albero Huang, Jiaqiang Gervillie, Charlotte Tam, Hwa-Yaw Tarascon, Jean-Marie Boles, Steven T. Hong Kong Polytech Univ Dept Elect Engn Kowloon Hong Kong Peoples R China CNRS UMR 8260 Coll France Chim Solide & Energie Paris France Ctr Adv Reliabil & Safety Hong Kong Peoples R China Rutgers State Univ New Brunswick NJ USA GP Batteries Int Ltd 7-F16W Hong Kong Sci Pk Hong Kong Peoples R China FR CNRS 3459 Reseau Stockage Electrochim Energie RS2E F-80039 Amiens France Sorbonne Univ UPMC Paris 06 4 Pl Jussieu F-75005 Paris France Hong Kong Univ Sci & Technol Guangzhou Sustainable Energy & Environm Thrust Guangzhou 511400 Guangdong Peoples R China HKUST Shenzhen Hong Kong Collaborat Innovat Res I Shenzhen Guangdong Peoples R China Norwegian Univ Sci & Technol NTNU Fac Engn Dept Energy & Proc Engn Trondheim Norway

The convergence of fiber optic sensing with lithium-ion batteries holds great promise for observing key cell parameters in real time, which is essential to every level of decision making, from design and engineering to finance and management. optical sensors based on fiber Bragg gratings have recently been demonstrated as an ideal tool for measuring these metrics with sufficient temporal and spatial resolution. In this work, we extend the use of fiber Bragg gratings to polymeric optical fibers which have notably greater thermal and strain coefficients than their common silica counterparts. We demonstrate that a polymer optical fiber sensor paired with a silica-based sensor, both affixed to the external package of a lithium battery, can concurrently generate high fidelity temperature and volumetric expansion data through this non-invasive approach. The quality of this data allows for further assessments as mechanical characteristics associated with dimensional changes of cells may indicate more than simple charging or discharging during cycling. While internal monitoring remains essential for future diagnostics, external monitoring using polymer fiber sensors offers a straightforward, superficial, and cost-effective sensing solution that opens a new avenue for real-time cell assessment, prognostics, and packaging considerations.

关键词： Sensors Batteries Li-ion Energy storage Optoelectronics

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Adaptive data compression for energy harvesting wireless sensor nodes

Adaptive data compression for energy harvesting wireless sen...

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IEEE International conference on Networking, Sensing and Control

作者： M. I. Mohamed W. Y. Wu M. Moniri Faculty of Computing Engineering & Technology Staffordshire University Stafford UK

ISBN: (纸本)9781467351980

Energy availability is one of the main constraints in the design of wireless sensor nodes for the monitoring of water distribution systems. Harvesting energy from the ambient environment has received increasing attention in modern research due to the fact that it can significantly prolong the lifetime of sensor nodes. However, power management is still a critical issue because power generation rates are random and vary over time. data compression is a powerful tool for use in reducing the energy consumption by the sensor by reducing the number of transmitted bits. Additionally, adaptive data compression can address the trade-offs between data quality and energy consumption. In this paper, we propose a framework for adaptive data compression based on prediction techniques to adapt to energy harvested power generation. Our objective is to minimize the average distortion of the compressed data in the long run under the energy variations. We optimize this objective by tuning the compression algorithm subject to energy availability. The problem of optimizing the desired tradeoffs between data quality and energy saved is subject to power availability and event criticality is formulated and solved via a Markov Decision Process (MDP).

关键词： Loss measurement Educational institutions Monitoring Energy harvesting Event detection Energy storage optical losses

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advances in the Hyperspectral Imager ANFA and It Is Role in the Colombian LEOPAR Satellite Mission

Advances in the Hyperspectral Imager ANFA and It Is Role in ...

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IEEE conference on Aerospace

作者： Leandro Rojas-Rodriguez Julian Rodriguez-Ferreira Pedro A. Salgado-Meza Sonia Rincon Ignacio F. Acero Francisco L. Hernandez Francisco Palencia-Solano Daniel Arciniegas-Arbelaez E3T Universidad Industrial de Santander Bucaramanga CITAE Fuerza Aeroespacial Colombiana Cali USA Universidad Sergio Arboleda Bogotá EIEE Universidad del Valle Cali

Colombia is an emerging space nation currently transitioning from being an operator of space systems to becoming a satellite manufacturer. The LEOPAR mission represents Colombia’s fourth satellite development endeavor. It entails a 3U CubeSat platform equipped with a hyperspectral camera known as ANFA, designed for remote sensing in the spectral range of 450 to 900 nm. Its primary objective is to identify vegetation and deforested areas across Colombian territory. The design and implementation of ANFA, in its initial phase as a laboratory prototype, underwent multiple iterations to align with mission requirements based on the state of the art. Rigorous laboratory tests have successfully validated the payload’s proper operation in terms of optical, mechanical, and electronic aspects of operational concepts. The ANFA laboratory prototype was developed using Commercial Off-The-Shelf (COTS) devices to emulate the optical subsystem and integrate it with the electronic subsystem. This prototype achieved scene capture, data transmission through the SPI protocol to the instrument’s main microcontroller, data processing, storage in an SD memory card, and image reconstruction to identify spectral signatures across each pixel in the hyperspectral data cube. Simultaneously, significant progress has been made in designing the optoelectronic detection chain for ANFA, based on the development of a radiometric model for analyzing a reference scene and transforming scene reflectance to Top of the Atmosphere (TOA). Subsequently, we plan to calculate the Signal-to-Noise Ratio (SNR) performance parameter as a tool to select a suitable detector for our hyperspectral camera, meeting the requirements of the LEOPAR mission. Once this process is completed, the goal is to scale the prototype to an engineering model and, ultimately, a flight model. The vision is for ANFA to become the first Colombian hyperspectral instrument launched into space, thereby aligning this development with ongoing

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Video-rate passive millimeter-wave imager

Video-rate passive millimeter-wave imager

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conference on Digital Avionics Systems (DASC)

作者： R. Olsen S. Clark J. Galliano Chung-Ta Hseih J. Lovberg C. Martin C. Phillips ThermoTrex Corporation dba Trex Enterprises USA

Passive millimeter-wave imager (PMI) technology provides a powerful sensor capability for military and commercial imaging applications in adverse weather. Recent advances in high-frequency antennas, MMW electronics, and high-speed signal processing, have brought real-time, high-contrast, high-resolution, wide-field of view PMI into the realm of technological feasibility. However, the prohibitive cost and volume of previous PMI architectures have proved impractical for all but a few scientific implementations. This situation has precluded PMI usage in several applications with demonstrable benefits, such as aircraft landing, and radio-silent airborne surveillance/battle damage assessment. A new PMI architecture has been demonstrated with a high frame rate (30 Hz) with order of magnitude reductions in cost and volume relative to previous designs. Highlights of this new PMI architecture will be presented along with examples of video-rate imaging data representing its current capability for airborne imaging.

关键词： optical imaging Millimeter wave technology Image resolution optical arrays Pixel Costs Image sensors Microwave radiometry Infrared detectors Infrared image sensors

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Monte Carlo Simulation of Underwater optical Communication System with Optimized Coefficients

Monte Carlo Simulation of Underwater Optical Communication S...

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advances in Signal Processing, Power, Communication, and Computing (ASPCC), IEEE International conference on

作者： Sagarika Patro Rajat Kumar Giri Department of Electronics and Telecommunication International Institute of Information Technology Bhubaneswar Odisha

ISBN: (数字)9798350355093

ISBN: (纸本)9798350355109

High-speed data transmission in challenging aquatic environments may be possible with underwater optical communication (UWOC) systems. Nonetheless, displaying light proliferation submerged is complicated because of dissipating, retention, and other water-explicit properties. In this paper, we present a novel methodology that propels conventional Monte Carlo simulation procedures to work on both adaptiveness and effectiveness in UWOC framework simulation. Our work presents a more sensible photon communication model that adjusts to various water types, like clear sea, beach front waters with turbid conditions, by consolidating wavelength-dependent scattering and attenuation effects. Polarization effects, which have an effect on how light behaves in these underwater channels, are also taken into account. Not at all like earlier examinations, the proposed simulation is validated utilizing real time information, prompting more down to earth and solid outcomes. We introduce an adaptive optimization algorithm that automatically adjusts the communication parameters in real time to make the simulation even more effective. This permits the framework to limit the bit error rate (BER), guaranteeing ideal execution under changing circumstances. Furthermore, by consolidating machine learning procedures, we can anticipate the best correspondence boundaries without expecting to run broad reproductions for each new situation. The system becomes more responsive as a result. The proposed methodology propels the UWOC frameworks by giving an adaptable and strong structure equipped for taking care of the remarkable difficulties of various aquatic conditions.

关键词： Adaptation models Monte Carlo methods Bit error rate Machine learning Propulsion Solids optical fiber communication Real-time systems Optimization Photonics

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Deep Graph Neural Network Fusing Multi-Sensor Physical Information in Aero-Engine Bearing Fault Diagnosis

Deep Graph Neural Network Fusing Multi-Sensor Physical Infor...

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Sensing, Measurement & data Analytics in the era of Artificial Intelligence (ICSMD), International conference on

作者： Yake Lian Yuangui Yang Zeqi Wei Ruqiang Yan School of Mechanical Engineering Xi'an Jiaotong University Xi'an China

ISBN: (数字)9798331529192

ISBN: (纸本)9798331529208

As multi-sensor technology advances and data storage and processing capabilities improve, multi-sensor signals can provide a more comprehensive and multi-angle data perspective. This improves the reliability of fault diagnosis. The data of multiple sensors belongs to non-Euclidean data. Traditional neural network methods are very effective in processing Euclidean data. However, they have difficulties in processing non-Euclidean data and cannot fully utilize the structural information and similarity between sensors. On the other hand, graph neural network methods can handle nonEuclidean data, but most graph data inputs lack practical physical meaning. To address this issue, this paper presents a graph construction method based on space and similarity (SS method), which models multi-sensor data as graph data. This method can fully utilize the structural features between sensors, giving the graph data practical physical meaning. Then graph aggregation is performed on a batch of graph data samples. And the DeeperGCN model is applied to extract signal features, achieving recognition of the health status of aircraft engine bearings. Experiments have shown that this method can significantly improve the effectiveness of fault diagnosis.

关键词： Fault diagnosis Adaptation models Convolution Atmospheric modeling Sensor phenomena and characterization Feature extraction Graph neural networks data models Aircraft propulsion Signal to noise ratio

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optical information processing and waveform shaping with femtosecond pulses

Optical information processing and waveform shaping with fem...

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

作者： A.M. Weiner School of Electrical and computer Engineering Purdue University Calumet West Lafayette IN USA

Summary form only given, as follows. The field of femtosecond pulse shaping, in which Fourier synthesis methods are used to generate nearly arbitrarily shaped ultrafast optical waveforms according to user specification, is reviewed. An emphasis is placed on programmable Fourier transform pulse shaping methods based on the use of spatial light modulators. After the fundamental principles of pulse shaping are outlined, examples of pulse shaping using several different types of spatial fight modulators are described. Applications of pulse shaping are illustrated by drawing on experimental results in fields ranging from quantum control to optical communications. Finally, some new research directions in pulse shaping and in ultrafast optical signal processing are described. One example is the direct space-to-time (DST) pulse shaper, in which the generated output waveform is a directly scaled version of the input spatial beam profile. The DST pulse shaper is well suited to generation of ultrafast optical data packets for OTDM and in addition to its bulk optics implementation, may also be implemented in part using modified arrayed waveguide grating technology. As a second example, I illustrate nonlinear extensions of pulse shaping known as spectral holography and spectral nonlinear optics. These techniques make possible storage, recall, correlation, and time-to-space conversion of femtosecond optical signals.

关键词： Information processing Ultrafast optics optical pulse shaping Pulse shaping methods Holography Nonlinear optics optical signal processing Holographic optical components optical pulse generation Arrayed waveguide gratings

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