检索结果-内蒙古大学图书馆

IEEE Conference on Vehicular Technology (VTC)

作者： Aamer Mohamed Huroon Yu-Chih Huang Li-Chun Wang Department of Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Institute of Communications Engineering National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering National Yang Ming Chiao Tung University

In this paper, we study the transmission strategy of a ground-based beyond diagonal reconfigurable intelligent surface (BD-RIS), a.k.a RIS 2.0, in a network where multiple unmanned aerial vehicles (UAVs) simultaneously transmit signals to the respective groups of users. It is assumed that each group is assigned subcarriers orthogonal to those assigned to other groups and rate splitting multiple access (RSMA) is adopted within each group. A corresponding mixed integer nonlinear programming problem (MINLP) is formulated, which aims to jointly optimize 1) allocation of BD-RIS elements to groups, 2) BD-RIS phase rotations, 3) rate allocation in RSMA, and 4) precoders. To solve the problem, we propose using generalized benders decomposition (GBD) augmented with a manifold-based algorithm. GBD splits the MINLP problem into two sub-problems, namely the primal and the relaxed master problem, which are solved alternately and iteratively. In the primal problem, we apply block coordinate descent (BCD) to manage the coupling of variables effectively. Moreover, we recognize the manifold structure in the phase rotation constraint of BD-RIS, enabling the Riemannian conjugate gradient (RCG). Simulation results demonstrate the effectiveness of the proposed approach in maximizing spectral efficiency.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Machine Vision-Based Deep Learning Inference Approach of Biker Safety Hat Detection System 7

A Machine Vision-Based Deep Learning Inference Approach of B...

引用

7th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2020

作者： MacAlisang, Jonel Ordovez, Dennis P. Ledda, Mark Kristian C. Melegrito, Mark P. Obon, Ana Marie C. Technological University of the Philippines Technology Licensing Office- ITSO Manila Philippines EARIST General Education-Computer Department Manila Philippines Don Mariano Marcos Memorial State University Graduate Studies La Union Philippines Technological University of the Philippines Department of Electronics and Communications Engineering Manila Philippines University of the East Graduate Program Manila Philippines

ISBN: (纸本)9780738105048

In the Philippines road accidents were prevalent among motorcycle riders. The motorcyclist was required to wear their helmet when on the road. Some motorcyclists didn't follow the rules on wearing a helmet as safety precautions on the road. To address this, policymakers are focusing on enforcing safe and law-abiding behavior in traffic. There is, however, a lack of comprehensive data on the safety-critical behavioral metric of the use of motorcycle helmets, especially in developing countries where the main mode of transport is the motorcycle. Targeted enforcement and safety campaigns that are critical for accident reduction are prohibited by this shortage of knowledge. Hence, The researchers developed an algorithm for detecting the helmet that was worn by the motorcyclist, by using a deep learning approach the object detection was done successfully. Based on the annotated images, frames of video, and live feed data that was collected, To detect active bikes, the researchers taught the algorithm to use their helmets. An overview of the algorithm's success on an annotated research data set and a study of available data on the use of human-registered helmets indicate that our approach is extremely reliable. © 2020 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Outage analysis of spectrum sharing relay systems with multi-secondary destinations in the presence of primary user's interference

Outage analysis of spectrum sharing relay systems with multi...

引用

International Conference on Wireless communications and Signal Processing (WCSP)

作者： Yuzhen Huang Fawaz Al-Qahtani Caijun Zhong Qihui Wu College of Communications Engineering PLA University of Science and Technology Nanjing China Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Institute of Information and Communication Engineering Zhejiang University Hangzhou China

This paper investigate the impact of primary transceivers on the outage performance of a dual-hop decode-and-forward (DF) spectrum sharing relay system with multiple secondary user (SU) destinations in Nakagami-m fading channels. To doing so, we derive new exact and asymptotic closed-form expressions for the outage probability of spectrum sharing relay systems employing the opportunistic scheduling algorithm, which readily enable us to characterize the impact of various key system parameters on the outage performance of the system. Monte Carlo simulation results are provided to verify the theoretical analysis and evaluate the effects of channel fading severity, SU relay placement, and number of SU destinations. The finding of this paper suggests that the interference temperature constraint results in the outage saturation phenomenon and zero diversity gain of spectrum sharing relay systems.

关键词： Interference Relays Materials requirements planning Fading Transmitters Monte Carlo methods Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Ku-band (12 GHz) earth-space rain attenuation statistics in Nonthaburi, Thailand, in 2013-2014

Ku-band (12 GHz) earth-space rain attenuation statistics in ...

引用

International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)

作者： Pannathee Lervatanakittavorn Phunsak Thiennviboon Kazuhiko Fukawa TAIST Tokyo Tech ICTES program Department Kasetsart University Bangkok Thailand Kasetsart University Bangkok TH Department of Communications and Computer Engineering Tokyo Institute of Technology Tokyo Japan

Rain attenuation statistics for an average year in Nonthaburi, Thailand, in 2013-2014, are presented. Particularly, two statistics were calculated from the raw and preprocessed power-level data of the Ku-band beacon signal received at the Thaicom earth station. These statistics were compared with the ITU-R prediction models in 1999 and 2007-2013. The results show that preprocessing is necessary to generate the statistics and the ITU-R prediction models are not very accurate; the ITU-R models generally tend to underestimate the rain attenuation statistics. Specifically, these models underestimate by more than 4 dB when the availability is more than 99.9%.

关键词： Attenuation Rain Predictive models Satellites Clouds Probability

来源：评论

学校读者我要写书评

暂无评论

Optimized Transmission Strategy for UAV-RIS 2.0 Assisted communications Using Rate Splitting Multiple Access

arXiv

引用

arXiv 2023年

作者： Huroon, Aamer Mohamed Huang, Yu-Chih Wang, Li-Chun Department of Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Taiwan Institute of Communications Engineering National Yang Ming Chiao Tung University Taiwan Department of Electrical and Computer Engineering National Yang Ming Chiao Tung University Taiwan

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Histogram specification by assignment of optimal unique values

arXiv

引用

arXiv 2021年

作者： Ramos, Vítor S. de Q. Silveira, Luiz Felipe de Q. Silveira Júnior, Luiz Gonzaga Electrical and Computer Engineering Graduate Program Federal University of Rio Grande do Norte Natal Brazil Computer Engineering and Automation Department Federal University of Rio Grande do Norte Natal Brazil Communications Engineering Department Federal University of Rio Grande do Norte Natal Brazil

In this paper, we propose two novel algorithms for histogram specification and quantile transformation of data without local information. These are core techniques that can serve as building blocks for applications that require specifying the sample distribution of a given set of data. Histogram specification is best known for its image enhancement applications, whereas quantile transformation is typically employed in data preprocessing for data normalization. In signal processing, methods often require temporal or spatial information;in data preprocessing, methods work by interpolation or by approximation, drawing from results in computational statistics, and have a trade-off between speed and quality. It is nontrivial to accommodate for cases that do not have local information (e.g., tabular data) while also providing a fast, exact solution. For that, we take up a concept in image processing called group mapping law and propose an extension. The proposed extension allows us to formulate a convex functional where we look for the best approximation between the output unique values and the reference histogram. Then, we apply the ordered assignment solution, a result in optimal transport, to reconstruct the output from the optimal unique values. Two sets of results show the effectiveness of the proposed algorithms when compared to traditional and state-of-the-art methods. The proposed algorithms are fast, exact, and least p-norm optimal. Further, we define the algorithms as generic data processing methods. Thus, contributions from this paper can be easily incorporated in applications spanning many disciplines, especially in applied data science. Copyright © 2021, The Authors. All rights reserved.

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

Modified Turnstile Antenna Design for Multi-Band and Broadband Applications

Modified Turnstile Antenna Design for Multi-Band and Broadba...

引用

USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： I-Fong Chen Chia-Mei Fei-Lung Wu Jian-An Xie Dept. of Computer and Communication School of Electronics and Electrical Engineering Dongguan Polytechnic Jinwen University of Science and Technology New Taipei City Taiwan Department of Communications Engineering Feng Chia University Taichung City Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung City Taiwan

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

The proposed antenna with a size of 90 mm x 90 mm, and the ground portion is 64 mm x 64 mm, which material is FR4 glass epoxy substrate with the thickness of 1.6 mm, relative permittivity of 4.3 and loss tangent of 0.023, consists of four modified dipole elements and four power dividers, as shown in Figure. 1. For the multi-band and broadband operation, three dipole antennas were shunted to be a dipole element. The electrical-length of the dipole element can be determined from the one quarter-wave length at the 2.45 GHz, 5.5 GHz and 6.525 GHz, for covering 2400 MHz-2500 MHz, 5150 MHz-5850 MHz and 5925 MHz-7125 MHz. In order to operates in various modes such as normal mode and axial mode, the modified four port triple-band microstrip series power divider was designed. In normal mode, it radiates horizontally polarized waves where as in axial mode, it radiates circularly polarized waves. The radiated patterns of the proposed antenna as shown in Figure. 2. The features of the proposed antenna are shown in the Table I. Impressive radiated gains and efficiencies are obtained.

关键词： Power dividers Dipole antennas Conferences Glass Broadband communication Broadband antennas Microstrip

来源：评论

学校读者我要写书评

暂无评论

A Web-based Active Learning Conceptual Framework for Innovative Business Plan Creation : Developing New Tools for Entrepreneurship Education

A Web-based Active Learning Conceptual Framework for Innovat...

引用

International computer Science and engineering Conference (ICSEC)

作者： Saravanee Phuengpunum Krerk Piromsopa Noawanit Songkram Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University Bangkok Thailand Department of Computer Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Educational Technology and Communications Faculty of Education Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9781538681657;9781538681640

This research aims to develop a framework for writing a business plan that support innovation for undergraduate students. The scope of this research is circumscribed to undergraduate students in Thailand. In respect of internet technology advancement and the popularity of internet access of teenagers, the researcher employs e-learning instruction media, which is considered a keystone to reduce educational inequalities. The study particularly introduces an established Nanoka's knowledge creation concept, which consists of Socialisation, Externalisation, Combination and Internalisation. In earlier times, this concept has been verified to create the domain of innovation in business organisation. Remarkably, it has been employed in the process of teaching innovative business plans and creativity management. This process specifically incorporates active learning, which turns the passive role of merely listening to active learners. The framework offers three principal contributions: first, to develop a new educational platform that implements active learning into E-Learning styles; second, to develop of an uncommon conceptual framework that adheres to theory reflecting good practices for innovation creation; third, taking this concept into practice, to help the universities build upon core strengths and students' innovation skills. It is the confluence of all contributions that make for a full-fledged entrepreneurial university.

关键词： Technological innovation Education Senior citizens Tools Production Market research

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Based Statistical Hypothesis Testing for Fault Detection

Machine Learning-Based Statistical Hypothesis Testing for Fa...

引用

Conference on Control and Fault-Tolerant Systems (SysTol)

作者： Radhia Fazai Majdi Mansouri Kamal Abodayeh Mohamed Trabelsi Hazem Nounou Mohamed Nounou Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Mathematical Sciences Prince Sultan University Riyadh Saudi Arabia Department of Electronic and Communications Engineering Kuwait College of Science and Technology Kuwait Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

ISBN: (纸本)9781728103815

This paper elaborates the development of machine learning approach merged with statistical hypothesis testing aimed at enhancing the operation of photovoltaic (PV) systems by developing intelligent PV fault detection framework. Fault detection in PV systems is important to ensure optimal energy harvesting and reliable power production because PV systems usually operate in a harsh outdoor environment and tend to suffer various faults. In this paper, therefore, special attention is paid to detection of various faults during different modes of operation. The proposed approach merges the benefits of machine learning technique (MLT) with statistical hypothesis testing to enhance the fault detection and monitoring of PV systems. The proposed technique will be effective in monitoring the PV faults under both normal and abnormal conditions. For the framework developed, the modeling phase is addressed using MLT and the faults are detected using the generalized likelihood ratio test (GLRT) chart. The MLT is used to compute the residuals monitored and the GLRT chart is applied to the monitored residuals evaluated for fault detection purposes. The developed MLT-based GLRT algorithm is implemented and validated using both simulated and real PV data. The results are evaluated in terms of false alarm rates (FAR), missed detection rates (MDR) and computation time.

关键词： Ground penetrating radar Monitoring Circuit faults Testing Photovoltaic systems Fault detection

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Approach to Modeling and Exploring Random Sources of Gate-All-Around Silicon Nanosheet MOSFETs

Deep Learning Approach to Modeling and Exploring Random Sour...

引用

2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang-Ming Chiao Tung University Parallel and Scientific Computing Laboratory Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Electrical Engineering and Computer Science International Graduate Program Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Institute of Communications Engineering Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Department of Electrical Engineering and Computer Engineering Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300 Taiwan Center for mmWave Smart Radar System and Technologies National Yang-Ming Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu300 Taiwan

ISBN: (纸本)9781665409230

In this paper, for the first time, deep learning (DL) based artificial neural network (ANN) is applied to model the effects of various random variations: work function fluctuation, random dopant fluctuation, and interface trap fluctuation, on gate-all-around silicon nanosheet MOSFETs. The number of fluctuations for each source variation is used as input features and their effects on devices of interest are studied qualitatively and quantitatively. The key figures of merit (FoM) are also extracted accurately from the transfer characteristics, which shows the competency of the ANN model in the domain of device modeling. © 2022 IEEE.

关键词： Nanosheets

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：