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2023 Photonics and Electromagnetics Research Symposium, PIERS 2023

作者： Macciò, C. Lodi, M.B. Curreli, N. Melis, A. Mazzarella, G. Bozzi, M. Fanti, A. University of Cagliari Department of Electrical and Electronic Engineering Cagliari09123 Italy via Morego 30 Genoa16163 Italy University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia27100 Italy

ISBN: (纸本)9798350312843

This work aims to advance the design of a microwave device capable of detecting, through indirect measurements, variations in the permittivity of the food materials. To this aim, a novel sensor based on double ridge waveguide configuration and a specific sample holder, to be 3D-printed, are designed. To numerically study the microwave signal propagation in the designed device and investigate its wideband performance, simulations with different food materials are performed. In particular, the complex dielectric permittivity of Carasau bread doughs, a traditional food product from Sardinia (Italy), and different distilled water-based solutions with various percentage of solutes in them, are measured with open-ended coaxial probe in the range 0.5-8.5 GHz and the acquired data are then used as material under test. The results show a good ability of the device to discriminate variations of the percentage of solute in solutions. Differences of up to 60MHz in the position of the |S11| peak and 15.8 dB in amplitude are in fact observed between adjacent curves. However, in the case of Carasau bread dough, this device was not capable of clearly discriminating variations in the percentage of ingredients used. © 2023 IEEE.

关键词： Permittivity

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Effect of the antenna slot numbers and position on the performance of microwave ablation

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Medicine in Novel Technology and Devices 2023年第4期20卷 105-113页

作者： Sabiha Binte Aziz Md Rejvi Kaysir Md Jahirul Islam Torikul Islam Mahmudur Rahman Department of Biomedical Engineering(BME) Khulna University of Engineering&TechnologyKhulna-9230Bangladesh Photonics Research Group Department of EEEKhulna University of Engineering&TechnologyKhulna-9230Bangladesh Department of Electrical and Computer Engineering Waterloo Institute for NanotechnologyUniversity of Waterloo200 University AveWaterlooONCanada Department of Biomedical Engineering(BME) New Jersey Institute of TechnologyNewarkNJUSA Department of Electrical and Electronic Engineering Dhaka University of Engineering&TechnologyGazipur 1707Bangladesh

Microwave ablation(MWA)is a type of thermal ablation used for cancer treatment in interventional *** induce localized tissue heating MWA employs electromagnetic waves within the microwave energy spectrum,which is done by the precisely designed *** study substantially emphasizes the design and performance ameliorating of slot(both single and double)antennae and compares the results with conventional monopole antennae in terms of temperature distribution,specific absorption ratio(SAR),and thermal tissue damage *** simulation has been done in COMSOL by solving the Bioheat equation along with Maxwell electromagnetic equations using the finite element *** simulation results reveal that the double-slot antenna has the most accurate and directional heat dissipation for liver tumors as well as the highest tissue damage rate and *** highest SAR was found to be 3500 W/kg and 3350 W/kg at the implant depth of 61 mm and 63 mm for double and single-slot antennae,*** addition,the fastest tissue damage occurred near the upper slot of the double-slot *** study helps to understand the basic design parameters for enhancing single and doubleslot antennae performance.

关键词： Microwave ablation(MWA) Finite element method(FEM) Liver tumor Microwave antenna Specific absorption rate(SAR)

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Seafloor Imaging Maps by Incorporating Side Scan Sonar Technology on Hybrid Autonomous Underwater Glider 6

Seafloor Imaging Maps by Incorporating Side Scan Sonar Techn...

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6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023

作者： Atmaja, Ardian Budi Kusuma Hidayat, Egi Muhammad Idris Riyanto Trilaksono, Bambang Siregar, Simon Habibullah, Natsir School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Institut Teknologi Bandung Telkom University Doctoral Program of Electrical Engineering Department Computer Engineering Faculty of Applied Science Indonesia

ISBN: (纸本)9798350358346

This research aims to construct a two-dimensional image to represent an underwater geometry map with a Side Scan Sonar (SSS) mounted on a Hybrid Autonomous Underwater Glider (HAUG). Building the underwater map has two stages of the process. The first stage is preprocessing which includes Time-varying gains (TVG), slant range correction, and ground range correction. The second is HAUG navigation, the movement of HAUG orientation to the angle and distance of SSS readings and plotting the geometry of the grid map. With these two stages, a two-dimensional grid map will be formed. Meanwhile, the 3D plot utilizes slant range and ground range correction to obtain the surface height of the bottom of the pool. From the experiments conducted to conduct mapping in the pool, two-dimensional and three-dimensional visual forms of the pool floor and pool walls were produced. The results of the estimated measurement of the width of the pool obtained 14.05 meters and the height of the pool 3.199 meters with an SSS beam angle of 58 degrees. © 2023 IEEE.

关键词： Geometry

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High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping:FLOAT

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Microsystems & Nanoengineering 2024年第1期10卷 313-323页

作者： Joseph Rufo Peiran Zhang Zeyu Wang Yuyang Gu Kaichun Yang Joseph Rich Chuyi Chen Ruoyu Zhong Ke Jin Ye He Jianping Xia Ke Li Jiarong Wu Yingshi Ouyang Yoel Sadovsky Luke P.Lee Tony Jun Huang Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNCUSA Department of Biomedical Engineering Duke UniversityDurhamNCUSA Department of Obstetrics Gynecologyand Reproductive SciencesMagee-Womens Research InstituteUniversity of PittsburghPittsburghPAUSA Department of Microbiology and Molecular Genetics School of MedicineUniversity of PittsburghPittsburghPAUSA Renal Division and Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Department of Bioengineering Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyBerkeleyCAUSA Department of Biophysics Institute of Quantum BiophysicsSungkyunkwan UniversitySuwonKorea

Extracellular vesicles(EVs)have been identified as promising biomarkers for the noninvasive diagnosis of various ***,challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low ***,we report a high-yield(>90%)and rapid(<10 min)EV isolation method called FLocculation via Orbital Acoustic Trapping(FLOAT).The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid *** adding a thermoresponsive polymer flocculant,nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the *** demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein,addressing a significant obstacle in the development of EV-based liquid *** to its high-yield nature,FLOAT reduces biofluid starting volume requirements by a factor of 100(from 20 mL to 200µL),demonstrating its promising potential in point-of-care diagnostics.

关键词： trapping utilize separating

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Voltage Control in Distribution Grids Using Topology Aware Deep Reinforcement Learning

Voltage Control in Distribution Grids Using Topology Aware D...

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2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Hossain, Rakib Gautam, Mukesh Mansourlakouraj, Mohammad Livani, Hanif Benidris, Mohammed University of Nevada Reno Department of Electrical & Biomedical Engineering RenoNV89557 United States Michigan State University Department of Electrical and Computer Engineering East LansingMI48824 United States

ISBN: (纸本)9798350320169

With increasing penetration of distributed energy resources (DERs), voltage fluctuations have become a critical challenge in modern distribution grids. Recent studies exhibit that deep reinforcement learning (DRL)-based Volt-VAR control (VVC) approaches can efficiently control the voltage of the distribution grid through corrective and preventive control of the reactive power output of the DERs. However, the DRL approaches cannot capture the topological changes of the power system since it uses a fully-connected network (FCN) to deliver the action. Therefore, in this paper, we have developed a graph convolutional network (GCN)-based DRL approach for controlling the voltage of the network that can better extract the topology variation of the network. The GCN network is utilized to capture and combine the relationship between the topology branches and the features of the nodes. The output GCN is fed as the input of the DRL to take optimal control action for controlling the voltage of the network. The performance of GCN-based DRL approach is tested on a modified IEEE-34 test case with different load and PV profiles. The results are compared with a base case scenario (i.e., no action is taken by the agent), and an FCN-based DRL approach. The results show that the proposed approach outperforms the FCN-based DRL approach in terms of voltage control. © 2023 IEEE.

关键词： Reinforcement learning

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Automated Cycling System for Characterizing Ink-Jet Printed Flexible Films for Sensors

Automated Cycling System for Characterizing Ink-Jet Printed ...

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2024 IEEE MetroCon, MetroCon 2024

作者： Hicks, McKenna Tesky, Allyson Kaul, Anupama B. University of North Texas Department of Computer Engineering DentonTX76207 United States University of North Texas Department of Biomedical Engineering DentonTX76207 United States University of North Texas Department of Materials Science and Engineering Electrical Engineering DentonTX76207 United States

ISBN: (纸本)9798331507640

Reliability testing of electronic devices is vital;anything from temperature and humidity resistance to mechanical fatigue of materials needs to be tested to ensure devices can hold up to their needed life expectancy - particularly in the field of biosensors and flexible conductors. Unfortunately, the research for specific techniques can be scarce, and often devices need to be tested in their own unique way. In this work, we have developed an automated system for reliability testing of strain-dependent sensors through the cyclic bending of a polyimide substrate with a conductive graphene film. A device was created using a 180-degree servo motor in combination with an Arduino microcontroller. The servo motor was then paired with a rack and pinion gear set to function as a linear actuator and bound to an independently built sliding mechanism that serves as the control and measurement of repeated bending operations. The substrate with the graphene film was then attached to a source meter to measure the current flow in situ over time. Subsequently, this device was able to repeat multiple bend cycles identically, eliminating the need to do it by hand and creating uniformity toward data gathering for comparative experimental studies. As such, the automated cycling system fulfilled its purpose towards a reliability test for which the graphene film showed the ability to withstand fatigue through repeated loading. © 2024 IEEE.

关键词： Fatigue testing

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Expeditious Diagnosis of Breast Cancer from Magnetic Resonance Images Using Grey Wolf Optimization based Improved K-means Algorithm

Expeditious Diagnosis of Breast Cancer from Magnetic Resonan...

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2024 International Conference on Recent Innovation in Smart and Sustainable Technology, ICRISST 2024

作者： Krishna Narayanan, S. Ganesh C S, Sundar Petchinathan, G. Ramaraj, Kottaimalai Murugan, Pallikonda Rajasekaran Thilagaraj, M. Mvj College of Engineering Department of Computer Science and Engineering Bengaluru India Karpagam College of Engineering Department of Electrical and Electronics Engineering Tamilnadu Coimbatore India Sri Shanmugha College of Engineering and Technology Department of Biomedical Engineering Tamilnadu Tiruchengode India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Tamilnadu Krishnankoil India Mvj College of Engineering Department of Industrial Internet of Things Bengaluru India

ISBN: (纸本)9798350309140

Considering early recognition can improve patient survival rates, it is one of the most crucial concerns that ought to be addressed globally. Promptly identifying any malignant cell or cells has the potential to prevent millions of deaths. Early detection of breast cancer has been achieved by the use of MRIs and mammograms;if the disease is found early, the cost of therapy can be significantly lowered. Methods for segmentation are necessary for the identification of breast cancers. In analyzing images, segmentation - which comprises identification, extraction of features, categorization, and treatment - plays a crucial role. In order to plan treatments, segmentation assists doctors in measuring the amount of tissue in the breast. Utilizing image classification techniques, one may determine the degree of cancer by analyzing the form of the malignant cells. The application of unsupervised K-Means clustering is employed to distinguish the region of interest from the background. By utilizing K-centroids, the data is segmented into K-clusters. To enhance segmentation outcomes, the Grey Wolf Optimization (GWO) is integrated with K-means. GWO is a contemporary metaheuristic swarm intelligence technique known for its notable advantages over traditional methods. Notably, it excels in the absence of derivative information during the initial search and involves minimal parameters. As a result, GWO is widely utilized for optimizing various ***, it is straightforward, user-friendly, adaptable, scalable, and has the unique ability to manage exploration and exploitation throughout the search in a way that promotes optimal convergence. When tested on the MIAS breast cancer dataset, the hybrid GWO based enhanced K-means (GWO_iK-means) algorithm scored 93% dice score value on segmenting the infected region. © 2024 IEEE.

关键词： Diseases

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Metasurfaces for next-generation wireless communication systems

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National Science Review 2023年第8期10卷 17-19页

作者： Younes Ra'di Nikita Nefedkin Petar Popovski Andrea Alù Department of Electrical Engineering and Computer Science Syracuse University Photonics Initiative Advanced Science Research Center City University of New York Department of Electronic Systems Aalborg University Physics Program Graduate Center City University of New York

The pace of development in the world of 5G communication systems has proven to be much more demanding than previous generations, with 5G-Advanced seemingly around the corner [1]. Extensive research is already underway to structure the next generation of wireless systems(i.e. 6G), which may potentially enable an unprecedented level of human–machine interaction [2].

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An Investigation of Triple-Tuned Traps for MRI Receiver Coil Design 46

An Investigation of Triple-Tuned Traps for MRI Receiver Coil...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Busher, Joseph Hou, Jue Wright, Steven M. McDougall, Mary P. Texas A&m University Department of Electrical and Computer Engineering College StationTX77843 United States Texas A&m University Department of Biomedical Engineering College StationTX77843 United States

ISBN: (纸本)9798350371499

Multinuclear MRI/S offers a powerful tool for noninvasive diagnostics and disease monitoring but remains largely underutilized in part due to the intrinsically low sensitivity of X-nuclei scans. This has led to continued research interest into the optimization of multi-nuclear coil designs for double-and triple-tuned coils that can facilitate scaling into higher channel count arrays to increase sensitivity. Here we present a new design for a parallel trap network that can create a simultaneous triple-tuned coil for 1H, 31P and 23Na at 4.7T. Coils were characterized both on the bench and in the scanner for the relative SNR of the different multi-tuning networks. The parallel network was shown to have a relative SNR gain of over 20% compared to a series network for 1H imaging. X-nuclei had a decrease in SNR of less than 10% for both 31P and 23Na. Future work involves further optimization of inductor design and placement to improve the X-nuclei sensitivity. © 2024 IEEE.

关键词： Tuning

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Using Blockchain Technology in Mobile Network to create decentralized Home Location Registry(HLR)

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computer Systems Science & engineering 2021年第11期39卷 287-296页

作者： Behnam Kiani Kalejahi Ruslan Eminov Aga Guliyev Department of Computer Science School of Science and EngineeringKhazar UniversityBakuAzerbaijan Department of Biomedical Engineering Faculty of Electrical and Computer EngineeringUniversity of TabrizTabrizIran

Blockchain can mean many things to many *** is a set of protocols and encryption technologies for securely storing data on a distributed network for the *** is a distributed ledger for business and finance and the technology underlying the explosion of new digital *** technologists,it is the driving force behind the next generation of the *** the other hand,it is a transformational technology facilitating large-scale human progress in previously unimagined ways for the rest of the people,a tool for radically reshaping society and *** view it as a disruptive technology that can be the source of a great deal of fraud,illegal activity,where others see opportunities to bring into existing systems by providing decentralization,transparency,and *** complex technological,economic,and social phenomenon has been the subject of fervent *** calls into question what might have been seen to be established parameters of the modern world like currency,economics,trust,value,and *** is a revolutionary new computing paradigm and one of the most significant,fundamental digital platforms’advances since the *** is an emergent technology experiencing very rapid evolution,and so is our understanding of what it is and what it can *** paper is subject to the use of Blockchain concepts in mobile networks to strengthen the Home Location Registry(HLR)database and make it decentralized for secure transactions and in banking and financial *** also holds potential implications for global *** could make trade more efficient by removing the manual and paper-based processes and introducing streamlined and automated processes.

关键词： Blockchain Mobile Network Home Location Registry Mobile Technology

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