检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Luo, Hongliang Gao, Feifei Lin, Hai Ma, Shaodan Vincent Poor, H. Department of Automation Tsinghua University Beijing China Department of Electrical and Electronic Systems Engineering Graduate School of Engineering Osaka Metropolitan University Osaka Sakai Japan State Key Laboratory of Internet of Things for Smart City The Department of Electrical and Computer Engineering University of Macau China Department of Electrical and Computer Engineering Princeton University PrincetonNJ United States

Using communications signals for dynamic target sensing is an important component of integrated sensing and communications (ISAC). In this paper, we propose to utilize the beam squint effect to realize fast non-cooperative dynamic target sensing in massive multiple input and multiple output (MIMO) Terahertz band communications systems. Specifically, we construct a wideband channel model of the echo signals, and design a beamforming strategy that controls the range of beam squint by adjusting the values of phase shifters and true time delay lines. With this design, beams at different subcarriers can be aligned along different directions in a planned way. Then the received echo signals at different subcarriers will carry target information in different directions, based on which the targets’ angles can be estimated through sophisticatedly designed algorithm. Moreover, we propose a supporting method based on extended array signal estimation, which utilizes the phase changes of different frequency subcarriers within different orthogonal frequency division multiplexing (OFDM) symbols to estimate the distances and velocities of dynamic targets. Interestingly, the proposed sensing scheme only needs to transmit and receive the signals once, which can be termed as You Only Listen Once (YOLO). Compared with the traditional ISAC methods that require time consuming beam sweeping, the proposed one greatly reduces the sensing overhead. Simulation results are provided to demonstrate the effectiveness of the proposed schemes. Copyright © 2023, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

来源：评论

学校读者我要写书评

暂无评论

Edge Graph Intelligence: Reciprocally Empowering Edge Networks With Graph Intelligence

引用

IEEE Communications Surveys and Tutorials 2025年

作者： Zeng, Liekang Ye, Shengyuan Chen, Xu Zhang, Xiaoxi Ren, Ju Tang, Jian Yang, Yang Shen, Xuemin Sherman Sun Yat-sen University School of Computer Science and Engineering Guangzhou510275 China Guangzhou511453 China Ministry of Education School of Computer Science and Engineering Sun Yat-sen University The Key Laboratory of Machine Intelligence and Advanced Computing Guangzhou510275 China Tsinghua University Department of Computer Science and Technology Beijing100084 China Midea Group Shanghai201702 China Guangzhou511453 China Peng Cheng Laboratory Shenzhen518055 China Terminus Group Beijing100027 China University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada

Recent years have witnessed a thriving growth of computing facilities connected at the network edge, cultivating edge networks as a fundamental infrastructure for supporting miscellaneous intelligent services. Meanwhile, Artificial Intelligence (AI) frontiers have extrapolated to the graph domain and promoted Graph Intelligence (GI). Given the inherent relation between graphs and networks, the interdiscipline of graph learning and edge networks, i.e., Edge GI or EGI, has revealed a novel interplay between them - GI aids in optimizing edge networks, while edge networks facilitate GI model deployment. Driven by this delicate closed-loop, EGI is recognized as a promising solution to fully unleash the potential of edge computing power and is garnering growing attention. Nevertheless, research on EGI remains nascent, and there is a soaring demand within both the communications and AI communities for a dedicated venue to share recent advancements. To this end, this paper promotes the concept of EGI, explores its scope and core principles, and conducts a comprehensive survey concerning recent research efforts on this emerging field. Specifically, this paper introduces and discusses: 1) fundamentals of edge computing and graph learning, 2) emerging techniques centering on the closed loop between graph intelligence and edge networks, and 3) open challenges and research opportunities of future EGI. By bridging the gap across communication, networking, and graph learning areas, we believe that this survey can garner increased attention, foster meaningful discussions, and inspire further research ideas in EGI. © 1998-2012 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Multi-Granularity Prosodic Speech Synthesis with Grammar Information

SSRN

引用

SSRN 2024年

作者： Zhou, Jian Liu, Jiahui Fan, Cunhang Zheng, Wenming Lv, Zhao Tao, Liang Kwan, Hon Keung The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China Ministry of Education School of Biological Science and Medical Engineering Southeast University Nanjing210096 China The Department of Electrical and Computer Engineering University of Windsor WindsorN9B 3P4 Canada

Personalized speech synthesis involves learning an individual's unique speaking patterns from a reference audio to generate speech that mimics the speaker's habitual rhythm. However, the one-to-many mapping between text and speech, combined with the dynamic nature of personalized speech style characteristics in the reference audio, poses significant challenges for accurate personalized speech synthesis. In this paper, we propose a Grammar Infused Multi-granularity Prosody Network (GMG ProsodyNet) for personalized speech synthesis. Specifically, 1) We model prosodic features hierarchically at the levels of utterance, content syntax, word, and phoneme. We utilize the utterance-level prosodic feature to guide the prediction of fine-grained prosodic features according to the hierarchical property of prosodic features. We introduce a context syntax encoder to improve the prediction accuracy of duration, pitch, and energy characteristics in the synthesized audio. The proposed word-level prosodic encoder can efficiently extract valuable pitch dynamic and speech continuity features from the word spectrum. For controlling subtle prosodic nuances, we employ phoneme-level prosodic modeling. 2) We extract syntax level prosodic features from the syntax graph constructed by Graph Neural Network (GNN) with word as node, exploiting grammatical dependencies between distant words. Experimental results demonstrate that the proposed GMG ProsodyNet can effectively encode delicate and personalized prosodic features, leading to improved speech synthesis quality, fluency, and naturalness. © 2024, The Authors. All rights reserved.

关键词： Speech synthesis

来源：评论

学校读者我要写书评

暂无评论

Evaluating Non-Expert Stakeholder Interaction with Artificial Intelligence on Energy Urban Domain Using VIRTSI: The Case of ChatGPT

Evaluating Non-Expert Stakeholder Interaction with Artificia...

引用

International Conference on Information, Intelligence, systems and Applications (IISA)

作者： George A. Tsihrintzis Elissaios Sarmas Vangelis Marinakis Dimitrios Panagoulias Evangelia-Aikaterini Tsihrintzi Maria Virvou Department of Informatics University of Piraeus Piraeus Greece Decision Support Systems Laboratory School of Electrical & Computer Engineering National Technical University of Athens Greece Department of Informatics and Telecommunicatios National and Kapodistrian University of Athens Athens Greece

ISBN: (数字)9798350368833

ISBN: (纸本)9798350368840

This paper investigates the interaction of non-expert stakeholders with Artificial Intelligence (AI) in the energy urban domain, using the VIRTSI model and focusing on the capabilities of ChatGPT. VIRTSI (Variability and Impact of Reciprocal Trust States towards Intelligent systems), is a rigorous computational model for human-AI Interaction that simulates human trust states, spanning from overtrust to distrust, through user modelling and quantifies the efficiency of the interaction in VIRTSI-adapted confusion matrices. The research employed an 16-question survey, evaluating the accuracy and usefulness of ChatGPT's responses regarding energy consumption, cost-effective solutions, and renewable energy production for residential buildings in Greece. Each answer was assessed by human stakeholders who were non-expert in the energy Urban Domain (e.g house owners, building managers, etc.), who either accepted or rejected the responses based on validation processes. The analysis highlighted key aspects such as repetition, specification, and objections in the interaction with ChatGPT, offering insights into the effectiveness of AI in supporting energy-related decisions. The findings reveal that while AI can provide valuable information, user validation and expert consultation are critical for practical implementation. This highlights both the potential and limitations of integrating AI tools like ChatGPT in enhancing non-expert stakeholder engagement and decision-making in urban energy management, emphasizing the ongoing need for human expert involvement.

关键词： Surveys Renewable energy sources Accuracy Computational modeling Decision making Buildings Chatbots Stakeholders Artificial intelligence Energy management

来源：评论

学校读者我要写书评

暂无评论

Assessing the Impact of Circular Economy Projects: The DEFINITE-CCRI Approach

Assessing the Impact of Circular Economy Projects: The DEFIN...

引用

International Conference on Information, Intelligence, systems and Applications (IISA)

作者： Evi Makri Eleni Kanellou Nikolai Jacobi Alexandors Nikas Haris Doukas Decision Support Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Energy Material & Built Infrastructure Sustainable Resources Climate & Resilience ICLEI ICLEI European Secretariat Freiburg Germany

ISBN: (数字)9798350368833

ISBN: (纸本)9798350368840

This paper presents the technical and impact potential assessment provided for selected circular economy projects by DEFINITE-CCRI. Among the main goals of the methodology employed in the DEFINITE-CCRI project are the support of the selected projects enabling them to become more attractive to investors and gain funding and the overall bridging of the gap between the circularity-based innovation and the financing available for its development. The DEFINITE-CCRI impact assessment methodology has been developed based on the 9R strategies, according to which specific indicators have been chosen and tailored to fit the particularities of the projects under assessment and to shed light on their environmental, social, and macro-economic impacts.

关键词： Technological innovation Benchmark testing Stakeholders

来源：评论

学校读者我要写书评

暂无评论

Grid Frequency Control Capability of Energy Storage systems: Modeling, New Control Approach, and Real-time Validation

Grid Frequency Control Capability of Energy Storage Systems:...

引用

IEEE Electronic Power Grid (eGrid)

作者： Arman Oshnoei Soroush Oshnoei Kamran Jalilpoor Sadegh Soudjani Frede Blaabjerg Department of energy Aalborg University Aalborg Denmark Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark Department of Electromechanical Systems and Metal Engineering Ghent University Ghent Belgium School of Computing Newcastle University Newcastle United Kingdom

Energy storage systems (ESSs) have proved to be efficient in frequency regulation by providing flexible charging/discharging powers. This paper presents a model predictive control (MPC) with feedback correction (FC) to provide the ESS with control signals to be efficiently involved in the frequency regulation in a power system with renewable power generation. The FD is introduced to improve the accuracy of the prediction in the MPC. An approach based on the artificial neural network (ANN) is presented for optimal design of the weighting coefficients appearing in the MPC objective function. The controller performance is compared with an MPC without feedback correction, a fuzzy-PD control, and a scheme with no support from the ESS. A comparison is also made to examine the effect of weighting coefficients tuned by the ANN with those tuned by a fuzzy intelligent method and a sine-cosine algorithm. Real-time validations are provided to demonstrate the proposed method’s effectiveness.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analysis and Control for Synchronization of Coupled Reaction-Diffusion Neural Networks with Multistate Couplings Subject to Recoverable Attacks

Analysis and Control for Synchronization of Coupled Reaction...

引用

IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Xin-Yu Zhao Shun-Yan Ren Jin-Liang Wang Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems School of Computer Science and Technology Tiangong University Tianjin China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sicuan China

This paper addresses the synchronization for coupled reaction-diffusion neural networks (CRNNs) with multi-state couplings suffering attacks. By utilizing the Kronecker product, a network synchronization criterion is formulated. Moreover, since networks suffering attacks may not be synchronized in some circumstances, a simple controller is also developed. Finally, the effectiveness of the devised control schemes is verified through a numerical example.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces

A Continuous Off-Policy Reinforcement Learning Scheme for Op...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Panagiotis Rousseas Charalampos P. Bechlioulis Kostas J. Kyriakopoulos School of Mechanical Engineering Control Systems Laboratory National Technical University of Athens Greece Department of Electrical and Computer Engineering University of Patras Center of AI & Robotics (CAIR) New York University Abu Dhabi

In this work, an Integral Reinforcement Learning (RL) framework is employed to provide provably safe, convergent and almost globally optimal policies in a novel Off-Policy Iterative method for simply-connected workspaces. This restriction stems from the impossibility of strictly global navigation in multiply connected manifolds, and is necessary for formulating continuous solutions. The current method generalizes and improves upon previous results, where parametrized controllers hindered the method in scope and results. Through enhancing the traditional reactive paradigm with RL, the proposed scheme is demonstrated to outperform both previous reactive methods as well as an RRT* method in path length, cost function values and execution times, indicating almost global optimality.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application of Big Data Analytics in the electrical Sector: A Real Case Study

Application of Big Data Analytics in the Electrical Sector: ...

引用

International Conference on Information, Intelligence, systems and Applications (IISA)

作者： Marco Antonio Bucarelli Francesca Santori Elissaios Sarmas Salvatore Cipolla Vangelis Marinakis Andrea Natalini Marzia Mammina ASM Terni S.p.A. Terni Italy Decision Support Systems Laboratory School of Electrical & Computer Engineering National Technical University of Athens Athens Greece Engineering Ingegneria Informatica Rome Italy

The spread of Artificial Intelligence tools applied to Big Data will revolutionise many production and management processes. The electrical sector is approaching this phase by leveraging these powerful tools in more and more applications. In this paper, the authors show two applications in the real case study of ASM Terni developed in the BD4NRG European Project. The first analytics shown addresses the problem of optimising the management of energy districts consisting of renewable energy sources, buildings, electric vehicle fleets and electrical storage systems using MILP tools. The second analytics uses electrical, acoustic, thermal and humidity data from secondary substations to determine transformer ageing using a stacking regressor.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A 0.9–1.4-GHz Q-Enhanced CMOS Tunable Bandpass Filter With Constant Fractional Bandwidth and Two Transmission Zeros

引用

IEEE Microwave and Wireless Technology Letters 2023年第6期33卷 667-670页

作者： Kun Li Xiang Li Shuangyang Wu Pei-Ling Chi Tao Yang School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China Research Center of Advanced RF Chips and Systems Nanhu Laboratory Jiaxing China Department of Electrical and Computer Engineering National Chiao Tung University Hsinchu Taiwan

A tunable differential $Q$ -enhanced bandpass filter covering 0.9–1.4 GHz with constant fractional bandwidth (FBW) is proposed using 40-nm CMOS technology in this letter. The proposed filter is constructed by two resonators which consist of ON-chip integrated inductors and varactors. The inductors of the two resonators are placed close to each other to form the mainline magnetic coupling of the filter. Besides the mainline coupling, the source port and load port are connected directly by capacitors, forming the source-to-load coupling. With the proposed structure, two transmission zeros (TZs) can be obtained, which can greatly increase the stopband rejection. Meanwhile, nMOS cross-coupled pairs are used as the $Q$ -enhanced cells to reduce the insertion loss (IL) and further improve the filter selectivity. A filter prototype based on 40-nm CMOS process is fabricated to validate the proposed structure. The center frequency (CF) of the proposed filter can be tuned from 0.9 to 1.4 GHz while keeping the FBW constant at 8%.

关键词： Resonator filters Band-pass filters Microwave filters Filtering theory Couplings Equivalent circuits Magnetic separation

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：