检索结果-内蒙古大学图书馆

International Symposium on Advanced Topics in Electrical engineering (ATEE)

作者： Gideon Daniel Joubert Atanda Kamoru Raji Department of Electrical Electronic and Computer Engineering Cape Peninsula University of Technology

Real-time simulation has become a well-established and accepted method of predicting equipment behaviour across many industries, for various conditions. One such application is when performing grid-integrated Renewable Power Plant (RPP) behavioural studies, as increasing amounts of renewable generation are integrated into existing electrical grids. Set to greatly benefit from tailored renewable energy (RE) integration studies, is South Africa, on account of their aggressive RE integration goals, and ailing electrical grid. In this paper, a South African tailored grid code guiding RPP control approach is presented, allowing RPPs to be operated in line with local grid code voltage and frequency requirements during simulation. To evaluate the design, MATLAB-integrated OPAL-RT real-time simulations are performed, implementing OPAL-RT’s OP4510 real-time simulator. Results show the RPP grid code guided control method to be effective in operating RPPs in line with grid code voltage and frequency requirements, allowing an RPP’s grid-integrated behaviour concerning grid code specifications to be simulated and studied.

关键词： Renewable energy sources Codes Simulation Predictive models Power system stability Real-time systems Voltage control

来源：评论

学校读者我要写书评

暂无评论

Multidimensional Similarity Fusion for Speech Quality Assessment

Multidimensional Similarity Fusion for Speech Quality Assess...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Fan Huang Xiongkuo Min Yuqin Cao Xiao-Ping Zhang Guangtao Zhai Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Department of Electrical Computer and Biomedical Engineering Toronto Metropolitan University Toronto Canada

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Since the perceptual quality of audio signals is easily to be affected by compression, transmission, noise adding, etc, it is of great significance to develop an effective audio quality assessment (AQA) method to measure end-user’s quality of experience. In this paper, we propose a full reference AQA model named Multidimensional Similarity Fusion for Audio Quality Assessment (MSF-AQA). We generalize the similarity-based image quality assessment methods for audio, then extract audio similarity features from multiple dimensions, and finally regress the multidimensional similarity features into the final quality score. The experimental results across three databases indicate that our MSF-AQA model outperforms the state-of-the-art AQA methods.

关键词： Image quality Databases Noise Transforms Feature extraction Quality assessment Quality of experience

来源：评论

学校读者我要写书评

暂无评论

Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area

Real-Time Graph-Based Optimization for GNSS-Doppler Integrat...

引用

IEEE Symposium on Intelligent Vehicle

作者： Aoki Takanose Eijiro Takeuchi Alexander Carballo Junichi Meguro Kazuya Takeda Graduate School of Informatics Nagoya University Japan TierIV Inc. Japan Department of Electrical Electronic and Computer Engineering Gifu University Gifu Japan Department of Mechatronics Engineering Meijo University Japan

Autonomous driving of vehicles and robots requires highly accurate position information, and RTK-GNSS is expected to be utilized for this purpose. In this paper, we propose a robust and real-time operation method by introducing graph optimization into the integrated RTK-GNSS/IMU method. The proposed method is an extension of a method using vehicle trajectories that can estimate positions with lane-level accuracy even in urban areas. The position is estimated by removing GNSS multipaths from the shape of a vehicle trajectory of several hundred meters and averaging the remaining GNSS results. This method does not take into account the errors in the vehicle trajectory and cannot fully benefit from the high accuracy positioning solution of RTK-GNSS. To solve this problem, we introduce graph optimization to the base method, which treats the error state as a probabilistic model. However, general graph optimization methods have problems with processing time and outlier elimination. The proposed method solves these problems by restricting the time series data to be optimized and using a two-step optimization structure. Evaluations show that the proposed method is effective because it satisfies the requirements for real-time operation and improves accuracy compared to conventional methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care 32

DeepHealth: Geospatial and ML-Based Approach to Identify Hea...

引用

32nd International Conference on computer Communications and Networks, ICCCN 2023

作者： Liu, Jinwei Gong, Rui Cheng, Long Alo, Richard A. Florida A&m University Department of Computer and Information Sciences TallahasseeFL32307 United States Mercer University Department of Informatics and Mathematics MaconGA31207 United States School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350336184

The COVID-19 pandemic has exacerbated existing health disparities, and its impact has fallen disproportionately on disadvantaged and vulnerable communities. Racial and ethnic minorities such as Black Americans who are at a particular disadvantage are more likely to be the potential target of COVID-19 infection and are dying at alarmingly high rates. Despite a promising solution of the COVID-19 vaccination offers hope, equitable access to COVID-19 vaccines remains a challenge in the US, which has compounded the existing disparities in cases, hospitalizations, and deaths among racial and ethnic minority groups. The deep and pervasive history of medical racism in the US has led to the vaccine hesitancy in racial and ethnic minorities, and thereby caused the disparities. Although some studies examine determinants of health disparities (e.g., social health determinants), there is a shortage of studies examining the social, structural and constructural health determinants, either alone or in tandem with other determinants. Little research paid attention to leveraging geographic information to trace the social, structural and constructural health determinants, which can provide a lower level of granularity. In this paper, we propose DeepHealth, a geospatial and ML-based (machine learning based) approach to identify diverse determinants (including the social, structural, and constructural determinants) of health disparities in COVID-19 pandemic, which provides a lower level of granularity. We provide a thorough analysis of health disparities based on multiple COVID-19 datasets and examine the social, structural, and constructural health determinants to assist in ascertaining why disparities (in racial and ethnic minorities who are particularly disadvantaged) occur in incidence and mortality rates due to COVID-19 pandemic. Extensive experimental results show the effectiveness of our approach. This research provides new strategies for health disparity identification and deter

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Power-Efficient Deceptive Wireless Beamforming Against Eavesdroppers

arXiv

引用

arXiv 2025年

作者： Chrysanidis, Georgios Argyriou, Antonios Tran, Le-Nam Zhang, Yanming Liu, Yanwei Department of Electrical and Computer Engineering University of Thessaly Greece School of Electrical and Electronic Engineering University College Dublin Ireland Department of Electronic Engineering The Chinese University of Hong Kong NT Shatin Hong Kong Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China

Eavesdroppers of wireless signals want to infer as much as possible regarding the transmitter (Tx). Popular methods to minimize information leakage to the eavesdropper include covert communication, directional modulation, and beamforming with nulling. In this paper we do not attempt to prevent information leakage to the eavesdropper like the previous methods. Instead we propose to beamform the wireless signal at the Tx in such a way that it incorporates deceptive information. The beamformed orthogonal frequency division multiplexing (OFDM) signal includes a deceptive value for the Doppler (velocity) and range of the Tx. To design the optimal baseband waveform with these characteristics, we define and solve an optimization problem for power-efficient deceptive wireless beamforming (DWB). The relaxed convex Quadratic Program (QP) is solved using a heuristic algorithm. Our simulation results indicate that our DWB scheme can successfully inject deceptive information with low power consumption, while preserving the shape of the created beam. Copyright © 2025, The Authors. All rights reserved.

关键词： Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

Study on Improving Reliability of Synthetic Battery Data with TimeGAN Pre-processing

Study on Improving Reliability of Synthetic Battery Data wit...

引用

IEEE International Conference on Knowledge Innovation and Invention (ICKII)

作者： Sujin Seol Byeongwoo Kim Department of Electrical Electronic and Computer Engineering University of Ulsan Ulsan Korea

While eco-friendly energy is attracting the public’s interest in recent environmental issues, the market of lithium-ion batteries is expanding. Ensuring the safety and reliability of batteries is important in using batteries. Hence, it is essential to monitor the state of health (SOH) of the battery. Model-based SOH estimation has a limitation because battery data exhibit non-linear characteristics according to complex internal changes. To overcome this limitation, the data-based estimation of the SOH of the battery has been researched extensively. Data-based SOH estimation requires a large, high-quality battery dataset. In general, a battery dataset is built based on data obtained from experimental tests. However, this approach is time-dependent. To overcome this problem, data augmentation algorithms are used. TimeGAN is one of the time-series data augmentation algorithms that generate time-series data in the latent space while preserving temporal dynamics and static characteristics. To ensure stable training of data, TimeGAN generates synthetic data after data has been preprocessed using Min-Max scaling. In this study, various preprocessing techniques were applied for TimeGAN to generate more realistic synthetic data which was close to the original battery data. Results based on different preprocessing techniques were analyzed, and the preprocessing technique suitable for generating a battery dataset was proposed. Discriminative and predictive scores were used for evaluation with t-SNE graphs for visual comparison. When Max-Abs scaling and Normalization preprocessing techniques were applied, the discriminative score improved by 53.7 and 44.4%, respectively, compared to the conventional Min-Max scaling.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Implantable Ultra Wideband (UWB) Antenna for Wireless Body Centric Network Based Medical Applications

Implantable Ultra Wideband (UWB) Antenna for Wireless Body C...

引用

IEEE International Conference on Biomedical engineering, computer and Information Technology for Health

作者： H M Arifur Rahman Sadman Ishraq Sunjid Yeamin Tamima Nur Khan Mohammad Monirujjaman Khan Department of Electrical and Computer Engineering North South University Dhaka Bangladesh Department of Electrical and Electronic Engineering American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331534356

ISBN: (纸本)9798331534363

A unique axe-shaped ultra-wideband (UWB) antenna for implantable medical applications has been proposed in this research paper. The antenna has been designed with a defected ground plane and an FR-4 substrate with a relative permittivity of 3.0. The size of the antenna is $0.21 \lambda \times 0.13 \lambda \times 0.017 \lambda$. A quasi-self-complementary design with delicate multiple slots on the ground plane assisted in miniaturization of the design. In free space simulations, the antenna shows prominent results in terms of bandwidth, return loss, VSWR, gain, and efficiency, while the s11 curve entirely remained operational within the ultra-wideband range by staying under 10 dB with multiple resonant points. Primarily, four different frequencies within the UWB range have been monitored to analyze the antenna parameter, where 4 GHz and 8 GHz produced more optimized results with around 20 and 40 dB return loss, respectively, with a peak gain over 2 dBi. Later, the antenna has been tested by implanting into the muscle layer of an artificially created torso phantom consisting of multiple layers and frequency dispersive features. Though the antenna perfectly sustained its operability within the UWB range, its primary resonance remained close to 4 GHz with around 30 dB return loss and optimum gain close to -11.9 dBi. The design shows promise to perform in implantable wireless body-centric network-based medical applications, while keeping the primary frequency of operation at 4 GHz.

关键词： Wireless communication Torso Resonant frequency Phantoms Medical services Muscles Ultra wideband antennas Antennas Gain Substrates

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Networks and YOLOv5 for the Detection of License Plates in Digital Photographic Images 15

Convolutional Neural Networks and YOLOv5 for the Detection o...

引用

15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023

作者： Zegarra, Guillermo Enrique Medina Rodriguez, Ciro Rodriguez Lobaton, Edgar Sierra, Roger Chipa Graduate School Universidad Nacional Mayor de San Marcos Department of Systems and Informatics Engineering Lima Peru School of System Engineering and Informatic Universidad Nacional Mayor de San Marcos Lima Peru School of Electrical and Computer Engineering North Caroline State University NC United States School of Economic Engineering and Statistics Universidad Nacional de Ingenierías Lima Peru

ISBN: (纸本)9798350324433

In this research, a dataset of two thousand images was obtained, which were taken through a speed camera to vehicles in the city of Lima, Peru, with the purpose of detecting license plates. Therefore, a distribution of this dataset was made: 70% for training (1400 images), 20% for validation (400 images), and 10% for testing (200 images). To visualize and analyze the behavior and convergence of the loss function, a distribution was made using the cross-validation method with the following three folds: 1400, 840, and 280, with two optimization methods (stochastic gradient descent with momentum and Adam), both optimization techniques were used for training from scratch and transfer learning. The results obtained demonstrated that the loss function converges better with the first optimization method. We used precision metric, too. © 2023 IEEE.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

The Rate-Distortion-Perception Trade-off: The Role of Private Randomness

arXiv

引用

arXiv 2024年

作者： Hamdi, Yassine Wagner, Aaron B. Gunduz, Deniz Department of Electrical and Electronic Engineering Imperial College London United Kingdom School of Electrical and Computer Engineering Cornell University United States

In image compression, with recent advances in generative modeling, the existence of a trade-off between the rate and the perceptual quality (realism) has been brought to light, where the realism is measured by the closeness of the output distribution to the source. It has been shown that randomized codes can be strictly better under a number of formulations. In particular, the role of common randomness has been well studied. We elucidate the role of private randomness in the compression of a memoryless source Xn = (X1, ,Xn) under two kinds of realism constraints. The near-perfect realism constraint requires the joint distribution of output symbols (Y1, , Yn) to be arbitrarily close the distribution of the source in total variation distance (TVD). The per-symbol near-perfect realism constraint requires that the TVD between the distribution of output symbol Yt and the source distribution be arbitrarily small, uniformly in the index t. We characterize the corresponding asymptotic rate-distortion trade-off and show that encoder private randomness is not useful if the compression rate is lower than the entropy of the source, however limited the resources in terms of common randomness and decoder private randomness may be. © 2024, CC BY.

关键词： Random processes

来源：评论

学校读者我要写书评

暂无评论

Simultaneous Person, Face, and Hand Detector Based on Improved YOLOv5

Simultaneous Person, Face, and Hand Detector Based on Improv...

引用

Intelligent Systems, International Workshop on

作者： Duy-Linh Nguyen Xuan-Thuy Vo Adri Priadana Kang-Hyun Jo Department of Electrical Electronic and Computer Engineering University of Ulsan Ulsan Korea

Many person, face, and hand detectors have reached remarkable achievements in the last century. With the convolutional neural networks' emergence, applications based on these detectors were increasingly widely applied in practice. Following this trend, this paper develops a simultaneous person, face, and hand detector based on YOLOv5 network architecture. The research focuses on redesigning the backbone and neck with compact network architectures EfficientNet and CBAM attention technique. The proposed architecture is trained and evaluated on the fine-tuned Human-Parts dataset. As a result, this network reached 87.2% of mAP@O.5 and 58.6% of mAP@O.5:0.95. This experimet outperforms most of the original YOLOv5 network architectures and is comparable to large-scale YOLOv5 architectures and the latest YOLOv8 architecture.

关键词：

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：