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arXiv 2023年

作者： Talha, Muhammad Smida, Besma Islam, Md Atiqul Alexandropoulos, George C. Department of Electrical and Computer Engineering University of Illinois Chicago United States Qualcomm Technologies Inc. Santa ClaraCA United States Department of Informatics and Telecommunications National and Kapodistrian University of Athens Greece

In this paper, we propose a multiple input multiple output (MIMO) Full-Duplex Integrated Sensing and Communication System consisting of multiple targets, a single downlink, and a single uplink user. We employed signal-to-interference plus noise ratio (SINR) as the performance metric for radar, downlink, and uplink communication. We use a communication-centric approach in which communication waveform is used for both communication and sensing of the environment. We develop a sensing algorithm capable of estimating direction of arrival (DoA), range, and velocity of each target. We also propose a joint optimization framework for designing A/D transmit and receive beamformers to improve radar, downlink, and uplink SINRs while minimizing self-interference (SI) leakage. We also propose a null space projection (NSP) based approach to improve the uplink rate. Our simulation results, considering Orthogonal Frequency Division Multiplexing (OFDM) waveform, show accurate radar parameter estimation with improved downlink and uplink rate. © 2023, CC BY.

关键词： Millimeter waves

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Blockchain-Based Wi-Fi Offloading Platform for 5G

Blockchain-Based Wi-Fi Offloading Platform for 5G

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IEEE International Conference on Communications Workshops, ICC

作者： Pramitha Fernando Lasitha Gunawardhana Wishva Rajapakshe Mahesh Dananjaya Tharindu Gamage Madhusanka Liyanage Department of Electrical and Information Engineering University of Ruhuna Sri Lanka School of Informatics University of Edinburgh UK School of Computer Science University College Dublin Ireland Centre for Wireless Communications University of Oulu Finland

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

The advent of 5G has sparked interest in Wi-Fi offloading techniques that enable efficient resource sharing and congestion management of wireless communication spectrum. However, offloading data between multiple networks (i.e. service providers) requires costly inter-provider communication which has a substantial overhead as well as high offloading latency. Moreover, involvement of the profit-oriented decision making of service providers has an inherent weakness of unfair scheduling among users and networks. To overcome those problems, this research work proposes a holistic framework similar to an online data market place where existing infrastructure can be used to set up Wi-Fi zones that everyone can use from their own data plan irrespective of the network operators they belong to. First, our proposed architecture improves the efficacy of offloading by using decentralized nature of the emerging Software-Defined Networking (SDN) to set up an operator-assisted data offloading platform, resulting in efficient inter-provider communication. Second, our proposal strengthens the fair scheduling of offloading resources by using blockchain technology to initiate unbiased and independent decision making. The resulting service is a rating system for the sellers to make reliable transactions for payments.

关键词： Wireless fidelity Contracts Bandwidth Pricing Decision making

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Belief theoretic methods for soft and hard data fusion

Belief theoretic methods for soft and hard data fusion

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

作者： T. L. Wickramarathne K. Premaratne M. N. Murthi M. Scheutz S. Kübler M. Pravia Electrical and Computer Engineering University of Miami Coral Gables FL USA Computer Science Informatics Cognitive Science Indiana University Bloomington IN USA Cognitive Science Linguistics Indiana University Bloomington IN USA BAE Systems Avionics Burlington MA USA

ISBN: (纸本)9781457705380

In many contexts, one is confronted with the problem of extract ing information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based sensing systems). In handling hard data, signal and data processing offers a wealth of methods related to modeling, estimation, tracking, and inference tasks. However, soft data present several challenges that necessitate the development of new data processing methods. For example, with suitable statistical natural language processing (NLP) methods, text can be converted into logic statements that are associated with various forms of associated uncertainty related to the credibility of the statement, the reliability of the text source, and so forth. In combining or fusing soft data with either soft or hard data, one must deploy methods that can suitably preserve and update the uncertainty associated with the data, thereby providing uncertainty bounds related to any inferences regarding semantics. Since standard Bayesian probabilistic approaches have problems with suitably handling uncertain logic statements, there is an emerging need for new methods for processing heterogeneous data. In this paper, we describe a framework for fusing soft and hard data based on the Dempster-Shafer (DS) belief theoretic approach which is well-suited to the task of capturing the types of models and uncertain rules that are more typical of soft data. Since the effectiveness of traditional DS methods has been hampered by high computational requirements, we base the processing framework on our new conditional approach to DS theoretic evidence updating and fusion. We address the issue of laying the foundation for a theoretically justifiable, and computationally efficient framework for fusing soft and hard data taking into account the inherent data uncertainty such as reliability and credibility. Moreover, we present an illustrative ex ample that highlights the potential for the DS conditional approach for fusing

关键词： Uncertainty Computational modeling Natural language processing Vehicles Data processing Reliability theory

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Impact of Rapid Photothermal Processing on Properties of ZnO Nanostructures for Solar Cell Applications

Impact of Rapid Photothermal Processing on Properties of ZnO...

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International Conference on Microelectronics, MIEL

作者： S. Shishiyanu R. Singh T. Shishiyanu O. Lupan Department of Microelectronics and Semiconductor Devices Faculty of Computers Informatics and Microelectronics Technical University of Moldova Chisinau Moldova Center for Silicon Nanoelectronics Holcombe Department of Electrical and Computer Engineering Clemson University Clemson SC USA

The nanotechnology with chemical deposition (CD) and rapid photothermal processing (RPP) of nanostructured ZnO thin films for solar cell applications was elaborated. The influence of growth processes and the impact of RPP on surface morphology, particles size and resistivity values are presented and discussed. The ZnO thin films were deposited on silicon substrates by chemical deposition method at room temperature and normal pressure. The obtained thin films were rapid photothermal processed in vacuum and N 2 ambient. Nanostructures of the deposited films were optimized by adjusting various growth parameters: concentration of zinc complex solution, temperature of aqueous solution of anions and RPP regimes. Structural and electrical properties were investigated by energy dispersive X-ray (EDX) spectroscopy, scanning electron microscopy (SEM), electrical resistivity measurements. electrical resistivity measurements showed that the room temperature resistivity of 10 5 Omega-cm for as-deposited ZnO, decreased to 10 3 Omega-cm after rapid photothermal processing. The impact of RPP temperatures was found to have an important role in the formation of ZnO nanostructures properties for solar cells applications and photoluminescence enhancement. The highest intensity of photoluminescence was obtained at 650degC RPP temperature. The experimental results shown that by RPP is possible to control the surface morphology, electrical properties and photoluminescence of nanostructured zinc oxide thin films as active component and antireflection coating of the solar cells

关键词： Zinc oxide Nanostructures Photovoltaic cells Temperature Photoluminescence Sputtering Surface morphology Conductivity Transistors Scanning electron microscopy

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Hybrid active/passive wireless network aided by intelligent reflecting surface: System modeling and performance analysis

arXiv

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arXiv 2020年

作者： Lyu, Jiangbin Zhang, Rui The School of Informatics Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education Xiamen University 361005 China The Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Intelligent reflecting surface (IRS) is a new and promising paradigm to substantially improve the spectral and energy efficiency of wireless networks, by constructing favorable communication channels via tuning massive low-cost passive reflecting elements. Despite recent advances in the link-level performance optimization for various IRS-aided wireless systems, it still remains an open problem whether the large-scale deployment of IRSs in wireless networks can be a cost-effective solution to achieve their sustainable capacity growth in the future. To address this problem, we study in this paper a new hybrid wireless network comprising both active base stations (BSs) and passive IRSs, and characterize its achievable spatial throughput in the downlink as well as other pertinent key performance metrics averaged over both channel fading and random locations of the deployed BSs/IRSs therein based on stochastic geometry. Compared to prior works on characterizing the performance of wireless networks with active BSs only, our analysis needs to derive the power distributions of both the signal and interference reflected by distributed IRSs in the network under spatially correlated channels, which exhibit channel hardening effects when the number of IRS elements becomes large. Extensive numerical results are presented to validate our analysis and demonstrate the effectiveness of deploying distributed IRSs in enhancing the hybrid network throughput against the conventional network without IRS, which significantly boosts the signal power but results in only marginally increased interference in the network. Moreover, it is unveiled that there exists an optimal IRS/BS density ratio that maximizes the hybrid network throughput subject to a total deployment cost given their individual costs, while the conventional network without IRS (i.e., zero IRS/BS density ratio) is generally suboptimal in terms of throughput per unit cost. Copyright © 2020, The Authors. All rights reserved.

关键词： Geometry

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Design and Development of an Autonomous Mobile Robot for Inspection of Soy and Cotton Crops

Design and Development of an Autonomous Mobile Robot for Ins...

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International Conference on Developments in eSystems engineering (DESE)

作者： William S. Barbosa Adalberto I. S. Oliveira Gustavo B. P. Barbosa Antonio C. Leite Karla T. Figueiredo Marley M. B. R. Vellasco Wouter Caarls Dept. of Electrical Engineering PUC-Rio Rio de Janeiro RJ Brazil Dept. of Informatics and Computer Science Rio de Janeiro State University Rio de Janeiro RJ Brazil

ISBN: (数字)9781728130217

ISBN: (纸本)9781728130224

In recent years, the use of mobile robots in agriculture has increased significantly because of their capability to carry out agricultural tasks in a safe and efficient manner, with limited or without human intervention. Crop monitoring and inspection have become an important part of precision agriculture, supporting farmers in the management of insect pests, weeds and diseases in order to reduce costs and losses. In this work, we present the design and development of an autonomous mobile robot, conceived to perform routine monitoring and inspection tasks on soy and cotton crops. The robot design is similar to a differential-drive vehicle due to its simplicity of construction, modeling and control. The autonomous navigation is successfully carried out via the use of odometry and cameras properly attached to the robot structure. Preliminary field tests with the prototype operating on a cotton farm are presented to show the performance and feasibility of the electro-mechanical design for navigation in row crops.

关键词： Mobile robots Wheels Robot sensing systems Cotton Inspection

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Industrial decision support requirements and expectations for a sugar mill crystallisation stage

Industrial decision support requirements and expectations fo...

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Annual Conference of Industrial Electronics Society

作者： R. Dodd A. Chiou R. Broadfoot X. Yu Faculty of Arts Business Informatics and Education Central Queensland University Rockhampton QLD Australia Queensland University of Technology Brisbane QLD Australia School of Electrical and Computer Engineering RMIT University Melbourne VIC Australia

This paper describes the fundamental requirements and expectations for the development of a knowledge based supervisory support system (KBSSS), to provide industrial decision support, for a sugar mill crystallisation stage. This paper puts into context the rationale for such a system. The increasing need and importance of providing industrial decision support in the industrial sugar mill setting are also detailed. The primary topics of this paper will focus upon: (1) a review of sugar mill industrial decision support, (2) unrealized expectations, and (3) requirements for decision support; all pertaining to sugar mill crystallisation stage operations.

关键词： Crystallization Sugar industry Production facilities Predictive models Decision making Decision support systems

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Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing

Multiscale Kernels for Enhanced U-Shaped Network to Improve ...

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Heng Wang Donghao Zhang Yang Song Siqi Liu Heng Huang Mei Chen Hanchuan Peng Weidong Cai School of Computer Science University of Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Digital Services Digital Technology & Innovation Siemens Healthineers USA Department of Electrical and Computer Engineering University of Pittsburgh USA Department of Informatics University of Albany State University of New York USA Allen Institute for Brain Science USA

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

Digital neuron morphology reconstruction from three-dimensional (3D) volumetric optical microscope images is an important procedure to rebuild the connections and structures of neural circuits. Even though many approaches have been proposed to achieve precise tracing, it is still a challenging task especially when images are polluted by noise or have discontinuity in their neuron structures. In this paper, we propose a new framework to overcome these issues by performing neuron segmentation prior to tracing. Our proposed framework adopts a novel 3D U-shaped convolutional neural network (CNN) with multiscale kernel fusion and spatial fusion to perform the image segmentation. We then perform the iterative back-tracking tracing algorithm on the output of the network. Evaluated on the Janelia dataset from the BigNeuron project, our proposed framework achieves competitive tracing performance.

关键词： Neurons Three-dimensional displays Image segmentation Kernel Gold Optical imaging Standards

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Polarization Converter Metasurface Using Machine Learning Methods for Bandwidth Enhancement

Polarization Converter Metasurface Using Machine Learning Me...

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International Conference on Modern Circuits and Systems Technologies (MOCAST)

作者： David Chatzichristodoulou Photos Vryonides Symeon Nikolaou Dimitra-Danai Varsou Maria Antoniou Dimitris Mintis Antreas Afantitis Frederick Research Center RF an Microwave Solutions LTD Nicosia Cyprus Dept. Electrical Computer Engineering and Informatics Frederick Research Center Frederick University Nicosia Cyprus NovaMechanics Ltd Nicosia Cyprus

ISBN: (数字)9798350385427

ISBN: (纸本)9798350385434

This manuscript presents the design of a polarization converter metasurface (MTS) where Machine Learning (ML) and Deep Learning (DL) methods were used, to enhance its bandwidth. The MTS is implemented with a periodic array of multi-layered cells with chiral geometry that supports asymmetric transmission. Any impingent x-polarized wave is transmitted as a y-polarized wave, and any incident y-polarized wave is effectively reflected. In order to increase the frequency range where the incident $\vert \mathbf{Ex} \vert$ field over the transmitted $\vert \mathbf{Ey} \vert$ field (Tyx) is higher than 90% and the associated Rxx which is the ratio of the incident $\vert \mathbf{Ex} \vert$ over the transmitted $\vert \mathbf{Ex} \vert$ is less than -10 dB, the Rxx plots vs frequency were used to train an artificial neural network (ANN). The trained ANN was used to optimize the cell's geometric dimensions to create a MTS response with more than 90% conversion rate (Tyx>90%), in the frequency range from 6.5 to 12.5 GHz, resulting in more than 60% fractional bandwidth.

关键词： Geometry Deep learning Circuits and systems Bandwidth Artificial neural networks Metasurfaces Frequency conversion

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Modeling and Analyzing Server System with Rejuvenation through SysML and Stochastic Reward Nets

Modeling and Analyzing Server System with Rejuvenation throu...

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International Conference on Availability, Reliability and Security, ARES

作者： Ermeson C. Andrade Fumio Machida Dong-Seong Kim Kishor S. Trivedi Informatics Center Federal University of pernambuco (UFPE) Recife Pernambuco Brazil Department of Electrical and Computer Engineering Duke University Durham NC USA Service Platforms Research Laboratories NEC Corporation Kawasaki Japan

High-availability assurance of server systems is becoming an important issue, since many mission-critical applications are implemented on server systems. To achieve high-availability, software rejuvenation is a practical technique to reduce unexpected downtime caused by software aging in software applications running on server systems. Although analytic models of software rejuvenation are well-studied, such analysis is not used in server system administration due to the complexity of modeling. In this paper, we present an availability modeling method for server system with software rejuvenation based on SysML that is used to describe system configurations and maintenance operations semi-formally. The proposed approach allows system administrators, who do not have expertise in availability modeling, to design and study the effects of different rejuvenation policies deployed in server systems. To show the applicability of the proposed modeling and evaluation process, a case study of a web application server is presented. We show the correctness of our modeling method by comparing the conventional models for condition-based and time-based software rejuvenation.

关键词： Tin Clocks Through-silicon vias Security Availability

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