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2019 International Conference on Biomedical Innovations and Applications, BIA 2019

作者： Nousias, Stavros Papoulias, Giwrgos Kocsis, Otilia Cabrita, Miriam Lalos, Aris S. Moustakas, Konstantinos University of Patras Department of Electrical and Computer Engineering Greece Industrial Systems Institute Athena Research Center Greece University of Twente Enschede Netherlands

ISBN: (纸本)9781728147543

Current trend of population ageing at global level is accompanied by increased prevalence of chronic diseases and higher rates of early retirement and labor market exit. In particular, the lifestyle of office workers is characterized by prolonged sitting and overall sedentary life, which alone is a high risk factor for cardiometabolic diseases, obesity and other related chronic diseases. The SmartWork unobtrusive monitoring system allows for continuous monitoring of various lifestyle, health, behavioural and work related parameters of office workers targeting to empower work ability sustainability. The large amounts of collected data in such systems are often characterized by the presence of missing entries. This work is an exploratory study on the potential of a Laplacian matrix completion variant for data imputation on the multi-channel time-series data collected with wearable or work devices in the SmartWork system. © 2019 IEEE.

关键词： Diseases

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Implantable UWB Microstrip Patch Antenna for Biomedical Applications 5

Implantable UWB Microstrip Patch Antenna for Biomedical Appl...

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5th International Conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Ishraq, Sadman Imran, Md Al Alam, Khorshed Khan, Mohammad Monirujjaman North South University Department of Electrical and Computer Engineering Dhaka Bangladesh Lamar University Phillip M. Drayer Department of Electrical Engineering TX United States Lamar University Industrial and Systems Engineering Department TX United States

ISBN: (纸本)9798331530013

To satisfy the requirements of UWB (3.1-10.6 GHz), a novel implanted ultra-wideband (UWB) antenna with a frequency range of 3.07-13.7 GHz has been developed, targeting biomedical applications. The antenna's performance was analyzed at 4 GHz, 6 GHz, 8 GHz, and 10 GHz in both in-body and free-space environments to ensure optimal functionality. The primary focus of the design is to create a compact, cost-effective, and high-performance antenna tailored for medical and healthcare applications. The radiating element consists of a rectangular patch fabricated on an FR-4 substrate, with total dimensions of 30\times 27\times 1.6\ \textmm^3. A partial ground plane is incorporated to achieve ultra-wideband characteristics, enabling a 10.63 GHz bandwidth that spans frequencies from 3.07 GHz to 13.7 GHz in open space. To evaluate the antenna's performance under implantation conditions, three human tissue layers are incorporated into the design. Key features such as radiation characteristics, gain, and directivity validate its suitability for use within the human body. The entire design process, including simulations and performance evaluations, was carried out using the CST Studio Suite software. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Improving computer interaction for users with visual acuity deficiencies through inverse point spread function processing

Improving computer interaction for users with visual acuity ...

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IEEE Southeastcon 2005: Excellence in engineering, Science and Technology

作者： Alonso, Miguel Barreto, Armando Jacko, Julie A. Adjouadi, Malek Choudhury, Maroof Department of Electrical and Computer Engineering Florida International University United States School of Industrial and Systems Engineering Georgia Institute of Technology United States Department of Biomedical Engineering Florida International University United States

Human beings take advantage of their high visual acuity to perform many daily activities required of them. Specifically, normal visual acuity is a pre-requisite for proper usage of most contemporary Graphic User Interfaces. The most common forms of visual acuity loss are myopia, hyperopia, and astigmatism. Contact lenses or glasses can easily correct these simple visual aberrations. There exist, however, more complex aberrations that cannot be easily remedied by such means. These "high-order" aberrations are modeled through what is known as the Point Spread Function (PSF) of the human eye. The PSF can be obtained indirectly through the wavefront aberration function of the human eye, currently accessible through wavefront analyzers. Thus, it is feasible that with the knowledge of the PSF, digital images could be altered according to a transformation opposite to the one they suffer in an aberrated eye. Consequently, when they are displayed to the user, he /she will perceive them undistorted. This paper presents an image processing approach, based on deconvolution of the PSF from the intended computer images that achieves this objective. The theoretical foundation of the approach is introduced along with simulation results using actual PSFs from subjects. © 2005 IEEE.

关键词： Human computer interaction

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Signal flow graphs over max-plus algebra and applications

Signal flow graphs over max-plus algebra and applications

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作者： Imaev, Aleksey Judd, Robert P. School of Electrical Engineering and Computer Science Ohio University Athens OH 45701 United States Department of Industrial and Systems Engineering Ohio University Athens OH 45701 United States

ISBN: (纸本)9781424474264

This work investigates properties of signal flow graphs (SFGs) over max-plus algebra, which are referred to as synchronous SFGs. New topological methods for evaluating gains of synchronous matrix SFGs are described. These methods are based on the existing theory for matrix SFGs over regular algebra. SFGs are useful in studying complex engineering systems by representing them as interconnection of relatively simple subsystems. In particular, synchronous SFGs can be used to graphically model the timing behavior of deterministic discrete event systems. The paper illustrates an application of synchronous SFGs to modeling and performance evaluation of deterministic manufacturing systems. © 2010 AACC.

关键词： Graphic methods

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Secure SCADA communication network for detecting and preventing cyber-attacks on power systems

Secure SCADA communication network for detecting and prevent...

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Clemson University Power systems Conference, PSC 2016

作者： Chalamasetty, Goutham K. Mandal, Paras Tseng, Tzu-Liang Bill Department of Electrical and Computer Engineering University of Texas at El Paso 79968 United States Department of Industrial Manufacturing and Systems Engineering University of Texas at El Paso 79968 United States

ISBN: (纸本)9781509006878

This paper presents a scaled model for supervisory control and data acquisition (SCADA) communication network, which monitors and controls power distribution in residential areas. We recommend to integrate advanced communication technologies into current SCADA system to improve its performance in monitoring and controlling the operations of the power systems. This paper further proposes to use ad hoc wireless sensor networks in the residential areas as a part of SCADA communication in power distribution network. Moreover, a trust-based intrusion detection and prevention (IDP) technology built on monitoring, detecting, and rehabilitation (MDR) approach is applied to the proposed network for cyber security analysis. To verify the performance of the proposed SCADA communication network using MDR, simulation is carried out for three different cases and results demonstrate that the proposed MDR approach helps in detecting and preventing the malicious nodes in the network effectively. © 2016 IEEE.

关键词： Network security

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Biomedical Osteosarcoma Image Classification Using Elephant Herd Optimization and Deep Learning

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computers, Materials & Continua 2022年第12期73卷 6443-6459页

作者： Areej A.Malibari Jaber S.Alzahrani Marwa Obayya Noha Negm Mohammed Abdullah Al-Hagery Ahmed S.Salama Anwer Mustafa Hilal Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Science Mathematics and Computer Science DepartmentMenoufia UniversityEgypt Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Electrical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

Osteosarcoma is a type of malignant bone tumor that is reported across the *** advancements in Machine Learning(ML)and Deep Learning(DL)models enable the detection and classification of malignancies in biomedical *** this regard,the current study introduces a new Biomedical Osteosarcoma Image Classification using Elephant Herd Optimization and Deep Transfer Learning(BOIC-EHODTL)*** presented BOIC-EHODTL model examines the biomedical images to diagnose distinct kinds of *** the initial stage,Gabor Filter(GF)is applied as a pre-processing technique to get rid of the noise from *** addition,Adam optimizer with MixNet model is also employed as a feature extraction technique to generate feature ***,EHOalgorithm is utilized along with Adaptive Neuro-Fuzzy Classifier(ANFC)model for recognition and categorization of *** algorithm is utilized to fine-tune the parameters involved in ANFC model which in turn helps in accomplishing improved classification *** design of EHO with ANFC model for classification of osteosarcoma is the novelty of current *** order to demonstrate the improved performance of BOIC-EHODTL model,a comprehensive comparison was conducted between the proposed and existing models upon benchmark dataset and the results confirmed the better performance of BOIC-EHODTL model over recent methodologies.

关键词： Biomedical imaging osteosarcoma classification deep transfer learning parameter tuning fuzzy logic

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NFTs for Trusted Traceability and Management of Digital Twins for Shipping Containers

NFTs for Trusted Traceability and Management of Digital Twin...

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2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

作者： Elmay, Feruz K. Madine, Mohammad Salah, Khaled Jayaraman, Raja Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Khalifa University Department of Industrial and Systems Engineering Abu Dhabi United Arab Emirates

ISBN: (纸本)9781665453813

The distribution, traceability, and management of shipping container logistics require secure data flow and trusted transactions. Digital Twins (DTs) can realize these features by offering shipping tracking and traceability, process flow and status monitoring, and management of the physical containersall in a remote manner. However, the data of a DT itself is typically stored, controlled, and managed by a centralized entity, which is often the original creator of the physical container. Having a centralized entity can cause mistrust. The centralized entity may alter, tamper, or delete the digital twin data. To overcome this problem, this paper proposes trusted sharing and management of DTs for shipping containers by using Non-Fungible Tokens (NFTs). NFTs are digital tokens that hold unique data stored, controlled, and managed in a decentralized and immutable blockchain ledger. We extend in this paper the use of NFTs to tokenize shipping container DTs and their metadata. The proposed solution uses NFTs and Ethereum blockchain smart contracts to offer decentralization, security, transparency, traceability, and immutability to the data and processes involved in the creation, storage, and management of DTs of shipping containers. To demonstrate our solution, we create a DT of a shipping container using Microsoft Azure Digital Twins services and showed how to tokenize it using NFT. We assess the system using various test cases to evaluate its main functionalities. Furthermore, we analyze the cost of transactions and the security of the smart contracts code. We have made the code of our smart contracts publicly available on GitHub. © 2023 IEEE.

关键词： Supply chains

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Enhancing engineering outreach with interactive game assessment

Enhancing engineering outreach with interactive game assessm...

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113th Annual ASEE Conference and Exposition, 2006

作者： Lyons, Leilah Pasek, Zbigniew University of Michigan United States Dept. of Electrical Engineering and Computer Science University of Michigan United States Dept. of Industrial and Manufacturing Systems Engineering University of Windsor Canada

The need to educate general public about technology grows with broadening gap between technology use and its understanding in a consumer society. One of the effective venues for such education is that of hands-on museums, which engage a wide spectrum of visitors. This paper reports on the use of a data collection mechanism embedded in an interactive museum exhibit that highlights principles of modern consumer product engineering. The exhibit is comprised of a set of computer games and complementary physical displays. The games have a built-in data collection system tracking users' actions while playing the game. Collected data allows for demographic analysis of visitor population, user performance assessment, and provides game-play perspective useful for effective game design. Presented results are based on a year-long study involving about 17,000 museum visitors. © American Society for engineering Education, 2006.

关键词： Animation

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RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows 16

RAINBOW: A Robust And Invisible Non-Blind Watermark for Netw...

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16th Symposium on Network and Distributed System Security, NDSS 2009

作者： Houmansadr, Amir Kiyavash, Negar Borisov, Nikita Dept. of Electrical and Computer Engineering University of Illinois at Urbana–Champaign United States Dept. of Industrial and Enterprise Systems Engineering University of Illinois at Urbana–Champaign United States

Linking network flows is an important problem in intrusion detection as well as anonymity. Passive traffic analysis can link flows but requires long periods of observation to reduce errors. Watermarking techniques allow for better precision and blind detection, but they do so by introducing significant delays to the traffic flow, enabling attacks that detect and remove the mark, while at the same time slowing down legitimate traffic. We propose a new, non-blind watermarking scheme called RAINBOW that is able to use delays hundreds of times smaller than existing watermarks by eliminating the interference caused by the flow in the blind case. As a result, our watermark is invisible to detection, as confirmed by experiments using information-theoretic detection tools. We analyze the error rates of our scheme based on a mathematical model of network traffic and jitter. We also validate the analysis using an implementation running on PlanetLab. We find that our scheme generates orders of magnitudes lower rates of false errors than passive traffic analysis, while using only a few hundred observed packets. We also extend our scheme so that it is robust to packet drops and repacketization and show that flows can still be reliably linked, though at the cost of somewhat longer observation periods. © 2009 Proceedings of the Symposium on Network and Distributed System Security, NDSS 2009. All Rights Reserved.

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Optimizing natural gas supply and energy portfolios of a generation company

Optimizing natural gas supply and energy portfolios of a gen...

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2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power systems, PMAPS 2010

作者： Kittithreerapronchai, Oran Jirutitijaroen, Panida Kim, Sujin Prina, José Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Department of Industrial and Systems Engineering Pontificia Universidad Católica de Chile Santiago 7820436 Chile

ISBN: (纸本)9781424457236

In a deregulated electricity market environment, a natural gas-fired generation company must manage its natural gas supply and construct energy portfolios by engaging in contracts to buy natural gas and generate electricity. The contracts protect the company from fluctuations in prices and demands, but provide minimal profits. The company may gain larger profits - and possible loses- by accessing natural gas spot and electricity pool markets. To capture such hedging decisions and the interactions between the natural gas and electricity markets, we formulate a Stochastic Programming model and study its benefits over an expected value problem. The stochastic model enables the company to optimize the electricity generation schedule and the natural gas consumption as well as to develop managerial insights. © 2010 IEEE.

关键词： Stochastic programming

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