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2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

作者： Boulerbah, Rachida Chaabane, Abdelhalim Attia, Hussein Aissaoui, Djelloul Ziane Achour University of Djelfa Telecommunications and Smart Systems Laboratory Faculty of Science and Technology Djelfa17000 Algeria Université 8 Mai 1945 Guelma Laboratoire des Télécommunications-LT BP 401 Guelma24000 Algeria King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Communication Systems and Sensing Electrical Engineering Department Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350314243

This paper introduces a breast model system that utilizes a circularly polarized printed ultra-wideband (UWB) antenna for the detection of breast tumors. The antenna, with dimensions of 30 mm × 25 mm × 1.5 mm, offers a wide UWB capability of 115.79% within the frequency range of 4 GHz to 15 GHz, complying with the requirements of The Federal Communications Commission (FCC) band. Additionally, the proposed antenna exhibits a broad axial ratio bandwidth spanning from 4.56 GHz to 7.11 GHz (43.7%). It showcases favorable characteristics, including a maximum gain of 4.5 dBi, approximate radiation efficiency of 85 % within the operating bandwidth, and consistent radiation patterns. The antenna is integrated into a specifically designed system model that incorporates the electromagnetic properties of a human breast, enabling the detection of abnormal objects. Detailed investigations are conducted to analyze the impact of tumor size on the antenna's reflection responses, aiming to enhance tumor detection capabilities. © 2023 IEEE.

关键词： Radiation efficiency

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Online POMDP planning with anytime deterministic guarantees 23

Online POMDP planning with anytime deterministic guarantees

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Proceedings of the 37th International Conference on Neural Information Processing systems

作者： Moran Barenboim Vadim Indelman Technion Autonomous Systems Program (TASP) Technion - Israel Institute of Technology NVIDIA Department of Aerospace Engineering Technion - Israel Institute of Technology

Autonomous agents operating in real-world scenarios frequently encounter uncertainty and make decisions based on incomplete information. Planning under uncertainty can be mathematically formalized using partially observable Markov decision processes (POMDPs). However, finding an optimal plan for POMDPs can be computationally expensive and is feasible only for small tasks. In recent years, approximate algorithms, such as tree search and sample-based methodologies, have emerged as state-of-the-art POMDP solvers for larger problems. Despite their effectiveness, these algorithms offer only probabilistic and often asymptotic guarantees toward the optimal solution due to their dependence on sampling. To address these limitations, we derive a deterministic relationship between a simplified solution that is easier to obtain and the theoretically optimal one. First, we derive bounds for selecting a subset of the observations to branch from while computing a complete belief at each posterior node. Then, since a complete belief update may be computationally demanding, we extend the bounds to support reduction of both the state and the observation spaces. We demonstrate how our guarantees can be integrated with existing state-of-the-art solvers that sample a subset of states and observations. As a result, the returned solution holds deterministic bounds relative to the optimal policy. Lastly, we substantiate our findings with supporting experimental results.

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Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

arXiv

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arXiv 2024年

作者： Oh, Yeongtak Lee, Jonghyun Choi, Jooyoung Jung, Dahuin Hwang, Uiwon Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of School of Computer Science and Engineering Soongsil University Korea Republic of Division of Digital Healthcare Yonsei University Korea Republic of

Test-time adaptation (TTA) addresses the unforeseen distribution shifts occurring during test time. In TTA, performance, memory consumption, and time consumption are crucial considerations. A recent diffusion-based TTA approach for restoring corrupted images involves image-level updates. However, using pixel space diffusion significantly increases resource requirements compared to conventional model updating TTA approaches, revealing limitations as a TTA method. To address this, we propose a novel TTA method that leverages an image editing model based on a latent diffusion model (LDM) and fine-tunes it using our newly introduced corruption modeling scheme. This scheme enhances the robustness of the diffusion model against distribution shifts by creating (clean, corrupted) image pairs and fine-tuning the model to edit corrupted images into clean ones. Moreover, we introduce a distilled variant to accelerate the model for corruption editing using only 4 network function evaluations (NFEs). We extensively validated our method across various architectures and datasets including image and video domains. Our model achieves the best performance with a 100 times faster runtime than that of a diffusion-based baseline. Furthermore, it is three times faster than the previous model updating TTA method that utilizes data augmentation, making an image-level updating approach more feasible. ∗ © 2024, CC BY.

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The disruption index suffers from citation inflation and is confounded by shifts in scholarly citation practice

arXiv

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arXiv 2024年

作者： Petersen, Alexander Michael Arroyave, Felber Pammolli, Fabio Department of Management of Complex Systems Ernest and Julio Gallo Management Program School of Engineering University of California MercedCA95343 United States Politecnico Milano Department of Management Economics and Industrial Engineering Via Lambruschini 4/B Milan20156 Italy

Measuring the rate of innovation in academia and industry is fundamental to monitoring the efficiency and competitiveness of the knowledge economy. To this end, a disruption index (CD) was recently developed and applied to publication and patent citation networks (Wu et al., Nature 2019;Park et al., Nature 2023). Here we show that CD systematically decreases over time due to secular growth in research and patent production, following two distinct mechanisms unrelated to innovation - one behavioral and the other structural. Whereas the behavioral explanation reflects shifts associated with techno-social factors (e.g. self-citation practices), the structural explanation follows from 'citation inflation' (CI), an inextricable feature of real citation networks attributable to increasing reference list lengths, which causes CD to systematically decrease. We demonstrate this causal link by way of mathematical deduction, computational simulation, multi-variate regression, and quasi-experimental comparison of the disruptiveness of PNAS versus PNAS Plus articles, which differ only in their lengths. Accordingly, we analyze CD data available in the SciSciNet database and find that disruptiveness incrementally increased from 2005-2015, and that the negative relationship between disruption and team-size is remarkably small in overall magnitude effect size, and shifts from negative to positive for team size ≥ 8 coauthors. © 2024, CC BY.

关键词： Competition

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Adaptive Droop Controlled-VSCs in MVDC Distribution systems with ESS Engagement

Adaptive Droop Controlled-VSCs in MVDC Distribution Systems ...

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International Future Energy Electronics Conference (IFEEC)

作者： Pingyang Sun Watcharakorn Pinthurat Gen Li Muhammad Khalid Graham Town Georgios Konstantinou School of Electrical Engineering and Telecommunications UNSW Sydney Australia Department of Electrical Engineering Rajamangala University of Technology Tawan-ok Chanthaburi Thailand Department of Engineering Technology and Didactics Electric Energy DTU Denmark Electrical Engineering Department KFUPM Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems KFUPM Saudi Arabia School of Engineering Macquarie University Australia

A novel adaptive droop control (ADC) is proposed in this paper for voltage source converter (VSC)-based medium-voltage direct current (MVDC) distribution systems. The proposed ADC can achieve MVDC bus voltage management and power sharing between VSCs with overloading operation consideration, solving the issue that all VSCs on the rectifier/inverter side reach their power limits concurrently after a large system disturbance. It is accomplished by factoring in the real-time power/voltage values at VSC stations and a newly introduced extended power component. This component is contingent on the actual operational state of the energy storage systems (ESSs) in MVDC systems and inversely correlated with the power delivered/absorbed by the ESSs. The effectiveness of proposed ADC is confirmed through an MVDC distribution system model built in RTDS real-time digital simulators.

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Survey of the Tsuzuraozaki Underwater Archaeological Site Using Hovering Type Autonomous Underwater Vehicle

Survey of the Tsuzuraozaki Underwater Archaeological Site Us...

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2025 IEEE Underwater Technology, UT 2025

作者： Miyakawa, Ryo Odasaki, Issei Yano, Kenichi Kumagai, Michio Sugimatsu, Harumi Inoue, Shogo Nishida, Yuya Kyushu Institute of Technology Dept. of Life Science and Systems Engineering Kitakyushu Japan Kyushu Institute of Technology Dept. of Human Inteligence Systems Kitakyushu Japan College of Letters Japanese History Program Ritsumeikan University Kyoto Japan Ritsumeikan University Research Organization of Science and Technology Kyoto Japan Institute of Industrial Science The University of Tokyo Meguro Japan IDEA Consultants Inc. Ocean Research Department Setagaya Japan

ISBN: (纸本)9798331534189

Many pottery have been discovered in the waters around Tsuzuraozaki, which is located on the northern shore of Lake Biwa in Shiga Prefecture. However the cause of the archaeological site has not yet been determined, because of the depth and high turbidity of the water, it is difficult for divers to investigate the area. Therefore, in December 2023, we conducted an observation survey of the lake bed by mounting a camera on an Autonomous Underwater Vehicle Tuna-Sand2. We created a mosaic image by enhancing the image with Malti-Scale Retinex and pasting it along the trajectory of the AUV. The survey results showed the location of the pottery-like objects and the surrounding terrain. However, it is difficult to determine from the image whether the object is pottery or not, and in which period it was made. In future research, we aim to delve deeper into the intricacies of the objects found in this survey. In addition, it is also essential to have a technology that can remove floating matter from images of water with high turbidity. © 2025 IEEE.

关键词： Autonomous underwater vehicles

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Dual-Band Slot Antenna for Miniaturized Biomedical Implants 2

Dual-Band Slot Antenna for Miniaturized Biomedical Implants

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2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

作者： Benaissa, Mohamed Chaabane, Abdelhalim Aissaoui, Djelloul Attia, Hussein Ziane Achour University of Djelfa Telecommunications and Smart Systems Laboratory Faculty of Science and Technology Djelfa17000 Algeria Université8 Mai 1945 Guelma Laboratoire des Télécommunications-LT BP 401 Guelma24000 Algeria King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Communication Systems Sensing and Electrical Engineering Department Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350314243

This paper presents a compact-size antenna designed for biomedical implants. The antenna operates at the dual-band of 910 MHz and 2.45 GHz, which fall within the industrial, scientific, and medical (ISM) band ranges. The proposed antenna achieves a significant size reduction with a minimal form factor measuring only 17.64 mm3(7 mm × 7 mm × 0.36 mm). This size reduction is accomplished by employing a printed antenna with a dual spiral-shape slot and incorporating an inverted U structure, contributing to a more compact design. Additionally, a superstrate layer is introduced to enhance the impedance matching and compactness of the antenna further. The proposed antenna showcases several notable attributes, such as its miniaturization, dual-band operation, and commendable gain values compared to alternative implantable antennas. To evaluate its performance, the antenna is simulated within a multi-layered enclosure comprised of skin, fat, and muscle. The proposed antenna's SARs (specific absorption rates) are calculated within the human tissue model at both operating frequencies. This analysis provides insights into the electromagnetic energy absorption by the surrounding tissues, ensuring the antenna's safety for use in biomedical applications. © 2023 IEEE.

关键词： Microstrip antennas

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Criteria-based Unsupervised Feature Selection Techniques: A Comparative Study Over Chest CT Scan

Criteria-based Unsupervised Feature Selection Techniques: A ...

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Information Technology (ACIT)

作者： Shrouq Al-Daja Ala’ Alyabrodi Abdallah Moubayed MohammadNoor Injadat Ali Elrashidi Data Science & AI Department Zarqa University Zarqa Jordan Cyber Security Department Zarqa University Zarqa Jordan Computer Engineering Department Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Electrical Engineering University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798331540012

ISBN: (纸本)9798331540029

Research on classifying chest CT scans as normal or abnormal using machine learning and deep learning has garnered significant attention. To address this, various feature selection (FS) methods are employed to reduce dimensionality and identify key features. This paper evaluates criteria tailored to unsupervised binary datasets, such as feature subsets, redundancy, and diversity, by comparing Mutual Information-Based Methods (MI) with Clustering-Based Feature Selection (Agglomerative Clustering) ones. Additionally, it examines Graph Structure, Spectral Properties, and Quality criteria by comparing Graph-Based Methods with Spectral Feature Selection-be (SPEC). For feature reduction, Agglomerative Clustering may offer a slight advantage due to better handling of diversity and redundancy, though the difference is minimal. If these aspects are crucial, Agglomerative Clustering might be preferred. Conversely, for Graph-Based vs. SPEC, SPEC Method is more suitable for feature reduction due to its coherent feature selection and focus on capturing significant patterns related to medical interventions.

关键词： Deep learning Computed tomography Termination of employment Feature extraction Information technology

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The Fluorescent Effect of Chitosan Magnetitic Nanoparticles for Near-Infrared Imaging 3

The Fluorescent Effect of Chitosan Magnetitic Nanoparticles ...

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3rd Novel Intelligent and Leading Emerging Sciences Conference, NILES 2021

作者： Abuelmakarem, Hala S. Ahmed, Wafaa A. Mofed, Dina Wael, Mohammed Sami, Sherif A. The Higher Institute of Engineering Elshrouk Academy Biomedical and Systems Engineering Department Egypt Biochemistry and Molecular Biology Unit National Cancer Institute Cairo University Cancer Biology Department Giza Egypt Cairo University Zoology graduate program Department of zoology Faculty of science Giza Egypt Cairo University Faculty of Engineering Department of Biomedical Engineering and Systems Giza Egypt

ISBN: (纸本)9781665421577

Early cancer detection increases the healing rate according to the cancer stage. Nanotechnology is an advanced technique in cancer management due to the permeability and retention effect. Nano contrast agents are chief in early cancer detection because they diffuse in the cancerous tissue due to permeability and retention. This study aims to synthesize Chitosan Magnetic Nanoparticles (CM NPS) to evaluate them as a contrast agent for cells imaging, in vitro, under near-infrared irradiation. CM NPs were synthesized using the wetted chemical method. They were characterized using Dynamic Light Scattering, High-resolution Transmission Electronic Microscopy (HR- TEM), Fourier Transform Infrared (FTIR) Spectroscopy, and X-ray diffraction (XRD). The shining effect of the CM NPs was evaluated under the inverted microscopy over through a human lung epithelial cell culture in vitro. The characterization results ensured the successful synthesis of CM NPs. The photomicrographs appeared shining light of CM NPs on the cells photographed under the inverted microscope. © 2021 IEEE.

关键词： Chitosan

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Trajectory Tracking of Tractor-Trailer Wheeled Mobile Robots via Dynamic Feedback Linearization in Forward and Backward Motion

Trajectory Tracking of Tractor-Trailer Wheeled Mobile Robots...

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International Conference on Control, Instrumentation, and Automation

作者： Mohammad Olyai Khalil Alipour Bahram Tarvirdizadeh Majid Sorouri Mohammad Ghamari Department of Mechatronics Eng. School of Intelligent Systems Engineering College of Interdisciplinary Science and Technology Advanced Service Robots (ASR) Laboratory University of Tehran Tehran Iran Department of Electronic Engineering Maynooth University Maynooth Co. Kildare Ireland Department of Computer and Mechatronics Engineering Science and Research Branch Islamic Azad University Tehran Iran Electrical Engineering Department California Polytechnic State University San Luis Obispo CA USA

ISBN: (数字)9798331509972

ISBN: (纸本)9798331509989

One type of wheeled mobile robot widely used in public transportation and for carrying high payloads is the tractor-trailer wheeled robots (TTWRs). This study considers a differentially-driven tractor under pure rolling conditions, which is subject to nonholonomic constraints. Controlling a TTWR in both backward and forward motion is challenging due to inherent instability. To address this issue and achieve trajectory tracking control for these systems, this paper employs dynamic feedback linearization (DFL) to overcome the limitations of static feedback linearization (SFL). The system’s response will be examined under various trajectories and initial conditions for both forward and backward motion.

关键词： Trajectory tracking Dynamics Wheels Kinematics Reinforcement learning Feedback linearization Trajectory Mobile robots Public transportation Payloads

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