检索结果-内蒙古大学图书馆

IEEE International Conference on Microwaves, Communications, Antennas and Electronic systems, COMCAS

作者： Maxim Ryzhii Victor Ryzhii Taiichi Otsuji Chao Tang Vladimir Mitin Michael S. Shur Department of Computer Science and Engineering University of Aizu Aizu-Wakamatsu Japan Research Institute of Electrical Communication Tohoku University Sendai Japan Frontier Research Institute for Interdisciplinary Sciences Tohoku University Sendai Japan Department of Electrical Engineering University at Buffalo SUNY Buffalo New York USA Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy New York USA

ISBN: (数字)9798350348187

ISBN: (纸本)9798350348194

We propose and model the terahertz bolometric detectors based on the graphene-channel field-effect transistors (GC-FETs) with the black-Phosphorus/hexagonal-Boron Nitride (b-P/h-BN) barrier layers. The GC is encapsulated in h-BN with a narrow b-P window (collector window) in the gate layer. The proposed device structure enables decreased electron scattering due to the elevated quality of the interfaces and promotes a more pronounced plasmonic response of the two-dimensional electron system in the GC. This improves the THz detector performance at the plasmonic resonances. Narrowing the collector window diminishes the Peltier effect and improves the detector characteristics.

关键词： Microwave antennas Performance evaluation Scattering Detectors Terahertz radiation Logic gates Plasmons

来源：评论

学校读者我要写书评

暂无评论

Low-Profile Polarization-Adjustable Ring Slot Antenna for Millimeterwave Applications

Low-Profile Polarization-Adjustable Ring Slot Antenna for Mi...

引用

2021 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2021

作者： Aghabeyki, Peyman Hamidi, Masoud Moradi, Gholamreza Aalborg University Department of Electronic Systems Denmark Tarbiat Modares University School of Electrical and Computer Engineering Tehran Iran Amirkabir University of Technology School of Electrical Engineering Tehran Iran

ISBN: (纸本)9781665428279

In this paper, a dual-port antenna with polarization adjustability is proposed for millimeter-wave applications. The loading effect of four ring slots stimulates a hybrid mode in the cylindrical cavity that generates eight magnetic monopoles with high gain in boresight. Through controlling the phase difference between the two ports, six types of polarization can be demonstrated. Simulation results in 28 GHz show a maximum gain of 13 dBi, 10% bandwidth, and a good cross-polarization level in all polarization states. Distinct features including low-profile, low-cost, single-layer, and simple feeding network make the antenna a suitable candidate for upcoming millimeter-wave and 5G applications. © 2021 IEEE.

关键词： Polarization

来源：评论

学校读者我要写书评

暂无评论

A novel method to emulate the peak current-mode control in ripple-based switching regulators

A novel method to emulate the peak current-mode control in r...

引用

IEEE Energy Conversion Congress and Exposition, ECCE

作者： Fabio Cacciotto Santi Agatino Rizzo ST Microelectronics Industrial & Power Conversion Division Catania Italy Department of Electrical Electronic and Computer Engineering University of Catania Catania Italy

This paper presents a novel method that permits emulating a peak current-mode control (PCMC) scheme in switching regulators using ripple-mode control (RMC). Differently from the traditional RMC, the switching current is regulated cycle-by-cycle, like in a traditional PCMC, thus maintaining constant switching frequency operations over a large portion of the operative conditions. Hence, the proposed method avoids the operative dependence on the switching frequency that may suffer the converters based on RMC, while maintaining the simplicity and good dynamic properties of RMC. The paper first provides a theoretical analysis of the new method, supported by a set of simulations that demonstrate the feasibility and benefits of the method. Finally, a bench analysis on a dedicated prototype has confirmed experimentally the good agreement with the theoretical prediction.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancing the Throughput of Device-to-Device Communication in Cellular systems Using Non-Orthogonal Transmission

引用

IEEE Access 2024年 12卷 112290-112307页

作者： Chu-Tung Liu Hsuan-Jung Su Hsien-Bo Tseng Jhe-Yi Lin Wei-Hsiang Wang Alan Shenghan Tsai Yasuhiro Takano Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan MediaTek Inc. Hsinchu Taiwan Realtek Semiconductor Corp. Hsinchu Taiwan Department of Electrical and Computer Engineering University of Maryland College Park MD USA *** Inc. Sunnyvale CA USA Department of Information Systems Engineering Chitose Institute of Science and Technology Hokkaido Chitose Japan

Device-to-Device (D2D) communications facilitate direct data exchange between two devices, bypassing the necessity of routing through a central base station. This proximity-based communication offers advantages such as high data rates, low latency, reduced power consumption, and efficient frequency reuse. In the cellular spectrum, D2D operations encompass overlay D2D and underlay D2D. Overlay D2D allocates orthogonal radio resources to D2D and cellular users, resulting in inefficient frequency reuse. On the other hand, underlay D2D shares the same radio resources among D2D and cellular users, necessitating centralized coordination and extensive exchanges of channel and traffic information for effective interference management. To address the limitations of overlay and underlay D2D, we introduce a scheme that allows D2D users to simultaneously and non-orthogonally transmit both D2D and cellular signals. This approach resembles underlay D2D in terms of high frequency reuse but eliminates the need for centralized interference management. In this paper, we investigate various system design aspects based on this scheme, including power allocation, multiple-antenna extension, scheduling constraints, and different interference cancellation techniques. Incorporating a coordinated scheduling method, the proposed scheme enhances the sum rate of a conventional multiple-antenna overlay D2D system by 2.14 times, with only a negligible impact on the cellular communication rate. Furthermore, the proposed scheme improves the sum rate by up to 87% within conventional underlay D2D systems, all without the need for additional centralized coordination.

关键词： Device-to-device communication Resource management Interference cancellation Cellular networks Spectral efficiency Precoding Throughput MIMO communication

来源：评论

学校读者我要写书评

暂无评论

Heart Failure: Machine Learning Prediction Within a 5-Year Framework 24

Heart Failure: Machine Learning Prediction Within a 5-Year F...

引用

24th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2024

作者： Tsarapatsani, Konstantina-Helen Tsakanikas, Vasilios D. Sakellarios, Antonis Trampisch, Hans J. Karapintzou, Efterpi Rudolf, Henrik Matsopoulos, George K. Fotiadis, Dimitrios I. Biomedical Research Institute Foundation for Research and Technology-Hellas Ioannina Greece Ruhr University Bochum Department of Medical Informatics Biometry and Epidemiology Bochum Germany University of Ioannina Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering Greece Institute for Biostatistics and Informatics in Medicine and Ageing Research University Medical Center Rostock Germany School of Electrical and Computer Engineering National Technical University of Athens Athens Greece University of Ioannina and Biomedical Research Institute-FORTH Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering Ioannina Greece

ISBN: (纸本)9798331518622

Heart failure (HF) is a complex syndrome that is affected by many factors and causes. It is crucial to early recognize the disease subtypes and the unidentified clinical pathways that give rise to it. Machine learning (ML) is the tool that assist to deal with these challenges and improve the prediction of HF. In this work, the HF risk prediction was implemented by employed ML classifiers, such as Random Forest (RF), Extreme Grading Boosting (XGBoost) and Light Gradient-Boosting Machine (LGBM). We utilized the data from the German epidemiological trial on ankle brachial index - getABI cohort, which includes 6,454 patients. The performance of classifiers was estimated by Accuracy (ACC), Sensitivity, Specificity and the area under the receiver operating characteristic curve (AUC) in mean values for each ML classifier. The results were also interpreted using the Explainable artificial intelligence (XAI) approach, the Shapley Additive exPlanations (SHAP) values. Our work reveals that LGBM classifier predict the HF risk within 5 years follow-up in general population with 68 % accuracy. Moreover, the N-terminal pro-B-type natriuretic peptide (NT-proBNP) was identified as the most important feature for HF risk prediction. © 2024 IEEE.

关键词： Risk perception

来源：评论

学校读者我要写书评

暂无评论

Fluid Antenna systems with Outdated Channel Estimates

Fluid Antenna Systems with Outdated Channel Estimates

引用

IEEE International Conference on Communications (ICC)

作者： Constantinos Psomas Ghassan M. Kraidy Kai-Kit Wong Ioannis Krikidis Department of Electrical and Computer Engineering University of Cyprus Cyprus Department of Electronic Systems Norwegian University of Science and Technology Norway Department of Electronic and Electrical Engineering University College London London United Kingdom

A desired characteristic of future communication networks is the notion of reconfigurability. For a wireless device, this can be realized through the employment of the so-called fluid antennas (FAs). An FA consists of a dielectric holder, in which a radiating liquid moves between pre-defined locations (called ports) that serve as the device's antennas. Therefore, due to the nature of liquids, an FA can essentially take any size and shape, making them both flexible and reconfigurable. In this paper, we study the outage probability of FAs where the scheduled port, based on selection combining, is subject to scheduling delays. An analytical framework is provided for the performance with and without estimation errors, as a result of post-scheduling delays. We show that even though FAs achieve maximum channel (spatial) diversity, this cannot be attained in the presence of delays.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Active Speaker Detection Method in Videos using Standard Deviations of Color Histogram

An Active Speaker Detection Method in Videos using Standard ...

引用

Science, engineering and Business for Sustainable Development Goals (SEB-SDG), International Conference on

作者： Adekunle A. Akinrinmade Emmanuel Adetiba Joke A. Badejo Oluwadamilola Oshin Department of Electrical and Information Engineering (Computer Engineering) College of Engineering Covenant University Covenant University Ota Ogun Nigeria Department of Electrical and Information Engineering College of Engineering Covenant University Ota Ogun Nigeria HRA Institute for Systems Science Durban University South Africa Department of Electrical and Information Engineering College of Engineering Covenant University Covenant University Ota Ogun Nigeria

Active Speaker Detection (ASD) is a process that predicts who the speaker is amongst those whose faces appear in a video (if any) at any given point in time within the recorded video. This work presents a novel algorithm capable of detecting the active speakers in each video using the standard deviations of Color Histograms (CHs) computed at the mouth region from one frame to another. This paper relies on the assumption that the lips of an active speaker are in motion. They open and close and thus reveal the inner parts of the mouth, like the tongue, teeth, and the vocal cavity which are of diverse colors in the process of talking. It is possible to use already existing algorithms to detect the mouth region. This region can be analyzed during the speaking process for the changes in color activity, and this can be used to predict whether a user is speaking or not. If a person is not speaking, the lips are at rest the CH of such mouth regions such candidates would be stable. As a result, the standard deviations of such regions would be negligible. A threshold can be experimentally determined which is thus capable of predicting if a person is speaking or otherwise. This paper explores 53 online videos from Channels TV station, these videos were employed in the creation of 250 video clips. Each clip is between 15 to 60 seconds with a total of 3.6 hours. Each video contained the faces of at most two speakers in no particular order. Sometimes, only one of the speakers' faces appears, at other times both appear in the duration of the video. The status of the speakers whether active or not was manually labeled to be used for the performance evaluation of the proposed algorithm. This method was able to predict the active speakers with an accuracy of 99.19%.

关键词： Histograms Visualization Video on demand Tongue Lips Mouth Color

来源：评论

学校读者我要写书评

暂无评论

Codes for Correcting t Limited-Magnitude Sticky Deletions

arXiv

引用

arXiv 2023年

作者： Wang, Shuche Vu, Van Khu Tan, Vincent Y.F. Institute of Operations Research and Analytics National University of Singapore Singapore Department of Mathematics National University of Singapore Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Industrial Systems Engineering and Management National University of Singapore Singapore

Codes for correcting sticky insertions/deletions and limited-magnitude errors have attracted significant attention due to their applications of flash memories, racetrack memories, and DNA data storage systems. In this paper, we first consider the error type of t-sticky deletions with -limited-magnitude and propose a non-systematic code for correcting this type of error with redundancy 2t(1 − 1/p) · log(n + 1) + O(1), where p is the smallest prime larger than + 1. Next, we present a systematic code construction with an efficient encoding and decoding algorithm with redundancy ⌈2t(1−1/p)⌉·⌈log p⌉ log(n+1)+O(log log n), log p where p is the smallest prime larger than + 1. Copyright © 2023, The Authors. All rights reserved.

关键词： Redundancy

来源：评论

学校读者我要写书评

暂无评论

Multi-Robot Scan-n-Print for Wire Arc Additive Manufacturing

引用

ASME Letters in Translational Robotics 2025年第1期1卷 011003页

作者： Lu, Chen-Lung He, Honglu Ren, Jinhan Dhar, Joni Saunders, Glenn Julius, Agung Samuel, Johnson Wen, John T. https://***/01rtyzb94Rensselaer Polytechnic Institute Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 https://***/01rtyzb94Rensselaer Polytechnic Institute Department of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute Troy NY 12180 https://***/01rtyzb94Rensselaer Polytechnic Institute Manufacturing Innovation Center Rensselaer Polytechnic Institute Troy NY 12180 Department of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute Troy NY 12180

Robotic Wire Arc Additive Manufacturing (WAAM) is a metal additive manufacturing technology offering flexible 3D printing while ensuring high-quality near-net-shape final parts. However, WAAM also suffers from geometric imprecision, especially for low-melting-point metals such as aluminum alloys. In this article, we present a multi-robot framework for WAAM process monitoring and control. We consider a three-robot setup: a 6-DoF welding robot, a 2-DoF trunnion platform, and a 6-DoF sensing robot with a wrist-mounted laser line scanner measuring the printed part height profile. The welding parameters, including the wire feed rate, are held constant based on the materials used, so the control input is the robot path speed. The measured output is the part height profile. The planning phase decomposes the target shape into slices of uniform height. During runtime, the sensing robot scans each printed layer, and the robot path speed for the next layer is adjusted based on the deviation from the desired profile. The adjustment is based on an identified model correlating the path speed to changes in height. The control architecture coordinates the synchronous motion and data acquisition between all robots and sensors. Using a three-robot WAAM testbed, we demonstrate significant improvements of the closed-loop scan-n-print approach over the current open loop result on both a flat wall and a more complex turbine blade shape.

关键词： welding process control multiple robot scan-n-print welding robot WAAM

来源：评论

学校读者我要写书评

暂无评论

AI-Based Load Forecasting for Demand Response

AI-Based Load Forecasting for Demand Response

引用

Frontier Technologies and Solutions (ICFTS), International Conference on

作者： Chintureena Thingom Mohan. S E. Afreen Banu E. Saranya M. Jasmin K. Anuradha Department of Computer Science & Engineering Alliance School of Advanced Computing Alliance University Bengaluru Karnataka India Department of Electrical And Electronics Engineering Sri Sairam Engineering College Chennai Tamil Nadu India Department of Computer Engineering Shah & Anchor Kutchhi Engineering College Mumbai Maharashtra India Department of Computer Science and Business Systems Sri Eshwar College of Engineering Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering Mallareddy Engineering College (Autonomous) Hyderabad Telangana India

ISBN: (数字)9798331502768

ISBN: (纸本)9798331502775

Accurate load forecasting is essential for energy system demand response, energy distribution, and energy waste reduction. This work investigates artificial intelligence-based energy load estimation methods, focussing on Gradient Boosting Machines (GBM) to improve forecast accuracy. The study will focus on GBM use. The research project begins with extensive data preprocessing. This solution includes imputation for missing data and data inclusion to fix dataset imbalances. To improve model performance, autoencoder-based feature selection reduces data dimensionality while keeping crucial information. We also use a correlation matrix to find and remove duplicate characteristics. After that, the Gradient Boosting Machine classifier is used for regression jobs to manage nonlinear relationships and reduce prediction mistakes. This improves forecast accuracy. The studies show that the suggested strategy enhances load forecasting accuracy compared to standard models. This study shows that AI-driven methods can improve demand responsiveness. This can help smart grids and telecoms manage energy more efficiently and sustainably.

关键词： Accuracy Load forecasting Predictive models Feature extraction Boosting Demand response Data models Imputation Smart grids Load modeling

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：