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Enhancing Lymph Node Classification in Rectal Cancer MRI Images Through a Multi-Model Approach

Enhancing Lymph Node Classification in Rectal Cancer MRI Ima...

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2024 IEEE International Conferences of AI, Science, engineering, and Technology, AIxSET 2024

作者： Gupta, Rishit Iwahori, Yuji Funahashi, Kenji Bhuyan, M.K. Bhatt, Manish Kijsirikul, Boonserm Wang, Aili Ouchi, Akira Shimizu, Yasuhiro Indian Institute of Technology Guwahati Dept. of Electronics & Electrical Eng. Assam Guwahati India Chubu University Dept. of Computer Science Kasugai Japan Nagoya Institute of Technology Dept. of Computer Science Nagoya Japan Chulalongkorn University Dept. of Computer Engineering Bangkok Thailand Harbin University of Science and Technology Higher Educational Key Laboratory Harbin China Aichi Cancer Center Hospital Dept. of Gastroenterological Surgery Nagoya Japan

ISBN: (纸本)9798350390995

Rectal cancer remains to be a major issue worldwide, necessitating accurate and precise methods for proper classification of lymph nodes in MRI scan images to guide treatment decisions. The use of deep learning based techniques can help with the task of classification. This research focuses on enhancing the process of lymph node classification in rectal cancer MRI images by using a multi-model approach. Firstly, we explore the use of diffusion models in data augmentation, to produce synthetic lymph node images to counter the issue of limited dataset size. Secondly, Real-ESRGAN and Swin2SR super-resolution techniques are examined for their ability to improve image quality and hence enhance the accuracy of lymph node classifications. Lastly, ConvNeXt is employed as an advanced technique used to improve overall performance at classifying lymph nodes for rectal cancer. Through a series of detailed experiments on the dataset consisting of T2-Weighted Axial MRI scans from 54 patients, we demonstrate the effectiveness of our approach in classification of lymph nodes. The metrics like accuracy and precision exhibit significant improvements, highlighting the superiority of our multi-model approach. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Modelling Weave effect in PCBs using 2D cross-sectional analysis

Modelling Weave effect in PCBs using 2D cross-sectional anal...

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2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024

作者： Khilkevich, Victor Hinaga, Scott Missouri University of Science and Technology Dept. of Electrical and Computer Engineering Electromagnetic Compatibility Laboratory RollaMO United States Cisco Systems Inc San JoseCA United States

ISBN: (纸本)9798350360394

Printed circuit board dielectric substrates are composite materials produced by embedding fiber glass fabrics into epoxy resin. Because of this the medium in the PCB transmission lines is inhomogeneous which often leads to degradation of the signal integrity performance of the lines, particularly due to the differential skew. The detrimental effect of the fiber weave can be modeled relatively accurately using full-wave analysis, but at a high computational cost. Alternative modelling techniques are less demanding, but often lack accuracy. This article investigates a possibility of using the 2D cross-sectional analysis for the fiber weave effect modeling, which considerably decreases the computational cost of modeling while retaining the accuracy inherent to the field solvers. © 2024 IEEE.

关键词： System-on-chip

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Multi-ID2R: An Intelligent Device Disaster Recovery Mechanism in Multipath Scenarios

Multi-ID2R: An Intelligent Device Disaster Recovery Mechanis...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Wang, Wenxiao Zhang, Yuyang Dong, Ping Du, Xiaojiang Yu, Chengxiao Zhang, Hongke Aitsaadi, Nadjib Beijing Jiaotong University School of Electronic and Information Engineering China Pengcheng Laboratory Dept. of New Networks Shenzhen China Stevens Institute of Technology Dept. of Electrical and Computer Engineering HobokenNJ United States Université Paris-Saclay Uvsq David Versailles France

ISBN: (纸本)9798350351255

At present, multipath transmission realized by multi-interface devices and bandwidth aggregation technology meets user demand for high-bandwidth communication in 6G wireless networks. However, multipath transmission systems face the threat of single-point failure by multi-interface servers themselves. Existing solutions for such failure are not suitable for multipath transmission scenarios, and this seriously limits the ability to bandwidth aggregation and reduces the reliability and invulnerability of the multipath transmission system in 6G wireless networks. In this paper, we propose a novel Intelligent Device Disaster Recovery (Multi-ID2R) mechanism to solve the single-point failure in multipath and aggregated environments for the first time. In particular, we establish the Multi-Dimensional Parameter Joint Analysis model (MDPJA) and propose an algorithm for judging the running state of multi-interface devices. The algorithm takes into account the different network parameters of the paths, including delay, packet loss rate, and throughput. Moreover, an intelligent switching mechanism based on service quality is designed. Multi-ID2R comprehensively considers the characteristics of the business and the current parameters of multipath networks to determine the moment of switching to flexibly adjust switching strategies. Finally, we deploy the mechanism on multi-interface servers in actual networks. Experiments demonstrate that, compared with Virtual Router Redundancy Protocol, Gateway Load Balancing Protocol, and Hot Standby Router Protocol, Multi-ID2R effectively improves the reliability and invulnerability of multi-interface server in 6G wireless networks. © 2024 IEEE.

关键词： Bandwidth

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Optimum Noise Mechanism for Probabilistic Differentially Private Queries in Discrete Finite Sets

Optimum Noise Mechanism for Probabilistic Differentially Pri...

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2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023

作者： Kadam, Sachin Scaglione, Anna Ravi, Nikhil Peisert, Sean Lunghino, Brent Shumavon, Aram Sungkyunkwan University Dept. of Electrical and Computer Engineering Suwon Korea Republic of Cornell University Cornell Tech Dept. of Electrical and Computer Engineering New York United States Lawrence Berkeley National Laboratory BerkeleyCA United States Kevala Inc. San FranciscoCA United States

ISBN: (纸本)9798350302523

Most published work on differential privacy (DP) focuses exclusively on meeting privacy constraints by adding to the query noise with a pre-specified parametric distribution model, typically with one or two degrees of freedom. The accuracy of the response and its utility for the intended use are often not part of the design. Considering that several database queries are categorical in nature (e.g., label, color, etc.), or discrete numerical data (e.g., ranking, histogram, etc.), or can be quantized to discrete values, the parameters that define the randomized mechanism's distribution are finite. Thus, it is reasonable to search through numerical optimization for the probability masses that meet the privacy constraints while minimizing the query distortion. Considering the modulo summation of random noise as the probabilistic DP mechanism, the goal of this paper is to introduce a tractable framework to design the optimum noise probability mass function (PMF) for database queries with a discrete and finite set, optimizing with an expected distortion metric for a given privacy requirement. This paper shows that the optimum PMF can be obtained by solving a mixed integer linear program (MILP) and that the proposed optimal mechanism significantly outperforms the state-of-the-art. © 2023 IEEE.

关键词： Degrees of freedom (mechanics)

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Untethered Wearable Loop Sensor System for Monitoring Human Joint Movement

Untethered Wearable Loop Sensor System for Monitoring Human ...

引用

Antenna Measurement Techniques Association Symposium (AMTA)

作者： Yingzhe Zhang Asimina Kiourti Dept. of Electrical and Computer Engineering ElectroScience Laboratory The Ohio State University

ISBN: (数字)9781736235164

ISBN: (纸本)9798331517854

We report a new class of wearable loop sensors for monitoring human kinematics (particularly, joint flexion angles) while overcoming limitations in the state-of-the-art. Previous studies have demonstrated the feasibility of these loop sensors using tethered connections to a network analyzer. In this work, we take a major step forward to demonstrate untethered operation for the sensor. To this end, transmitter and receiver boards are designed and integrated into the loops. The transmitter board sends a Radio-Frequency (RF) power of 5.68 dBm at 34 MHz upon a 50 Ω load, while the receiver board detects the power level and transmits the data to a nearby personal computer (PC) via Bluetooth. Flexion tests are conducted upon a tissue-emulating phantom to validate the setup. To quantify performance, we calculate the root mean square error (RMSE) between the estimated angle from our sensor and the gold-standard angle from a marker-based motion capture camera system, as well as Pearson's correlation coefficient (p). The proposed sensor shows outstanding performance with an average RMSE of 0.670° and an average p of 0.99966. Overall, our sensor outperforms state-of-the-art wearable kinematic technologies by being highly accurate, seamless, lightweight, unobtrusive to natural motion, and reliable over time.

关键词： Radio frequency Bluetooth Radio transmitters Phantoms Receivers Network analyzers Sensor systems Biomedical monitoring Monitoring Wearable sensors

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Event-Based Visual Microphone 48

Event-Based Visual Microphone

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Howard, Matthew Hirakawa, Keigo Sensors Air Force Research Laboratory WPAFBOH United States Dept. of Electrical and Computer Engineering University of Dayton DaytonOH United States

ISBN: (纸本)9781728163277

We propose event-based visual microphone (EBVM), a passive electro-optical technique for capturing audio signals remotely using an event camera. The event-based camera records local deformations of a surface induced by the sound propagation by observing the changes in specular reflections at each pixel. Interpreting the timings of the specular incidences deduced from the event stream as signal level-crossings, we reconstruct the audio signal by imposing Fourier sparsity. The recovered audio signal is qualitatively comparable to or better than the prior art (intensity-based visual microphone), with three orders of magnitude lower data throughput. © 2023 IEEE.

关键词： event-based sensor remote sound acquisition

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Channel Selection of Hybrid Communication System using Machine Learning 13

Channel Selection of Hybrid Communication System using Machi...

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Laser Communication and Propagation through the Atmosphere and Oceans XIII 2024

作者： Smith, Julie Christodoulou, Christos Lindstrom, Chadwick Simone, Matthew The Dept. of Electrical & Computer Engineering The University of New Mexico AlbuquerqueNM United States Air Force Research Laboratory Space Vehicles Directorate Kirtland AFB AlbuquerqueNM United States

ISBN: (纸本)9781510679542

Commercial and military free space communication needs are growing at a remarkable pace. The requirements for free space data transfer have increased as the technology increased, and now engineers are considering higher frequency bands for free space, including W/V, millimeter wave and optical bands. Laser communications can offer much higher data rates than traditional radio frequency (RF) systems and have the added advantage of not being regulated by the International Telecommunication Union (ITU). This along with typical hardware being much smaller in size, weight and power (SWaP) make optical communications a desirable solution for high-rate communication systems. W/V band systems also have the advantage of higher data rates and less frequency congestion than traditional RF systems, as well as the advantages of being able to link through clouds. As the need for "data on demand" increases, the likelihood of users moving to systems that can switch between multiple radios (hybrid systems) is very high. Today, multiple users in both commercial and government sectors are looking to integrate both laser communication (lasercom) and RF solutions onto their platforms. The goal of this work is to utilize a pre-trained Alexnet Convolution Neural Net (CNN) on Doppler radar and GOES satellite imagery to make decisions on which a hybrid system will provide the highest performance differing atmospheric conditions. This method can be scaled for any terrestrial or space-based system. © 2024 SPIE.

关键词： Doppler radar

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Real World Considerations for Into-Body Antennas

Real World Considerations for Into-Body Antennas

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Rice, Allyanna Kiourti, Asimina The Ohio State University ElectroScience Laboratory Dept. of Electrical and Computer Engineering ColumbusOH United States

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

We previously proposed the Bio-Matched Antenna (BMA), a new class of broadband, high gain antennas for into-body radiation with improved transmission through biological tissues. BMAs have many desirable characteristics for telemetry, imaging, and sensing applications, but the design exhibits limitations for real-world implementation. Notably, fabrication is time-consuming and tedious, the materials are unstable over time (e.g., performance of the antenna was found to significantly degrade after Day 1 of fabrication), and the connector is not reliable. In this paper, we determine the fundamental limitations with BMAs and propose possible solutions to address them. The discussions in this paper will facilitate robust, stable into-body design and fabrication for real-world applications in the future. © 2022 IEEE.

关键词： Fabrication Microwave antennas Wireless communication Temperature sensors Wireless sensor networks Transmitting antennas Sensors

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A Cascaded Multilevel Inverter System with Hot-Swapping and Fault Isolation Capability for Improved Resiliency

A Cascaded Multilevel Inverter System with Hot-Swapping and ...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Uthandi Selvarasu Vikram Roy Chowdhury Shumeng Wang Jinli Zhu Mahshid Amirabadi Yuan Li Brad Lehman Dept. of Electrical & Computer Engineering Northeastern University Boston USA National Renewable Energy Laboratory Golden CO USA Dept. of Electrical & Computer Engineering University of Pittsburgh Pittsburgh USA

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

The cascaded multilevel inverter (CMI) system is a promising solution for reliable inverter-based resource (IBR) applications due to its inherent modular redundancy. In the event of a fault, bypassing and isolating faulty sub-modules (SMs) within the CMI mitigates total system failure and enhances fault resiliency. However, hot-swapping a SM without interrupting the CMI presents implementation challenges. In this paper, a three phase CMI system is proposed for improved resiliency by hot-swapping the faulty SM without interrupting the system operation. Controllers were developed that permit hot-swapping of both grid forming and grid following CMIs. A power electronic module called AC smart port, is proposed and can successfully isolate the faulty SM from the system. A small-scale hardware prototype of a single-phase CMI with three H-bridge sub-modules has been successfully implemented for experimental validation.

关键词： Systems operation Redundancy Prototypes Multilevel inverters Power electronics Hardware Reliability Inverter-based resource Resilience Grid forming

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Source Localization Using a Single Array of Sensors in Nearfield Configuration, and Application to Active Noise Cancellation

Source Localization Using a Single Array of Sensors in Nearf...

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Intermountain engineering, Technology and Computing (IETC)

作者： Todd K. Moon Mohammad Shekaramiz Jacob H. Gunther Electrical and Computer Engineering Dept. Information Dynamics Laboratory Utah State University Logan UT Electrical and Computer Engineering Dept. Utah State University Logan UT

ISBN: (数字)9798350373073

ISBN: (纸本)9798350373080

In this paper we demonstrate by computed examples that an array of sensors in nearfield configuration can provide source localization in both $x$ and $y$ , going beyond the usual directional localization provided by a 1-dimensional array. This ability to localize a source opens new application areas. An application presented here is the possibility of doing active noise cancellation of the sound of a snorer.

关键词： Location awareness Noise cancellation Sensors Sensor arrays

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