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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhao, Zhouxiang Yang, Zhaohui Chen, Mingzhe Gan, Xu Huang, Chongwen Xu, Wei Zhang, Zhaoyang Zhejiang University College of Information Science and Electronic Engineering Hangzhou China Hangzhou China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL33146 United States Southeast University National Mobile Communications Research Laboratory Nanjing China

ISBN: (纸本)9798350351255

In this paper, the energy efficiency maximization problem in space-air-ground integrated network (SAGIN)-enabled probabilistic semantic communication (PSC) is investigated. In the considered model, a satellite needs to transmit data to multiple ground terminals (GTs) via an unmanned aerial vehicle (UAV) acting as a relay. During transmission, the satellite and the UAV can use PSC technique to compress the transmitted data, while the GTs can automatically recover the original data. In the considered PSC system, shared probability graphs serve as a common knowledge base among the transceivers, allowing for resource-saving communication at the expense of increased computation resource. Therefore, it is important to study the trade-off between communication and computation to achieve optimal energy efficiency. The joint communication and computation problem is formulated as an optimization problem aiming to minimize the total communication and computation energy consumption of the network under latency, semantic compression ratio, and UAV location constraints. To solve this non-convex problem, we propose an alternating algorithm. Numerical results show the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Deep reinforcement learning with time-scale invariant memory

arXiv

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arXiv 2024年

作者： Kabir, Md Rysul Mochizuki-Freeman, James Tiganj, Zoran Department of Computer Science Luddy School of Informatics Computing and Engineering Indiana University Bloomington United States

The ability to estimate temporal relationships is critical for both animals and artificial agents. Cognitive science and neuroscience provide remarkable insights into behavioral and neural aspects of temporal credit assignment. In particular, scale invariance of learning dynamics, observed in behavior and supported by neural data, is one of the key principles that governs animal perception: proportional rescaling of temporal relationships does not alter the overall learning efficiency. Here we integrate a computational neuroscience model of scale invariant memory into deep reinforcement learning (RL) agents. We first provide a theoretical analysis and then demonstrate through experiments that such agents can learn robustly across a wide range of temporal scales, unlike agents built with commonly used recurrent memory architectures such as LSTM. This result illustrates that incorporating computational principles from neuroscience and cognitive science into deep neural networks can enhance adaptability to complex temporal dynamics, mirroring some of the core properties of human learning. © 2024, CC BY.

关键词： Deep reinforcement learning

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Editorial

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ZTE Communications 2023年第4期21卷 1-2页

作者： SUN Huifang LI Ge CHEN Siheng LI Li GAO Wei IEEE Transaction on Circuits and Systems for Video Technology the School of Electronic and Computer Engineering Peking UniversityChina Shanghai Jiao Tong University China Department of Electronic Engineering and Information Science of USTC the School of Electronic and Computer Engineering Peking UniversityShenzhenChina

3D point cloud processing has redefined the way we perceive and interact with digital spatial *** translating physical entities into a collection of 3D points,it offers an accurate digital model of our *** emerging field of 3D point-based representation has piqued interest significantly over recent years,owing to its capacity to depict detailed spatial environments,thereby bridging the gap between virtual and real *** applications,including virtual reality,augmented reality,and advanced mapping,have greatly benefited from this technology,allowing for immersive experiences and accurate spatial ***,the journey from raw spatial data to refined point cloud representations is fraught with challenges,including storage and computational demands,noise handling and the quest for efficient compression techniques.

关键词： thereby translating refined

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Performance Evaluation of High Gain 2×2 MIMO Microstrip Antenna Operating at 28 GHz 2

Performance Evaluation of High Gain 2×2 MIMO Microstrip Ant...

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2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2022

作者： Ismail, Alyani Binti Rasid, M.F.A. Hamidon, Mohd Nizar B Abdullah, Raja Syamsul. A. Raja Shebani, Nafaa Mohamad Universiti Putra Malaysia Wireless and Photonics Networks Research Centre Department of Computer and Communication Systems Engineering Faculty of Engineering Serdang Malaysia Universiti Putra Malaysia Institute of Nanoscience and Nanotechnology Department of Electrical and Electronic Engineering Faculty of Engineering Serdang Malaysia

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

In this paper, four configurations of 2×2 MIMO microstrip antenna operating at 28 GHz are proposed and simulated by computer Simulation Technology (CST) software. The antenna is designed on PTFE/Teflon substrate with dielectric constant of 2.1, loss tangent of 0.0002, and thickness of 1.58 mm. The performance of all proposed configurations of 2×2 MIMO antennas are evaluated based on the overall gain, envelope correlation coefficient (ECC), and diversity gain (DG). Moreover, the comparison between all cases in this work is done in order to choose the optimal configuration, and to prove the reliability of the design the best obtained case is compared with proposed antennas in published works. © 2022 IEEE.

关键词： Microstrip antennas

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Broadband usage for rural communities in the North Island of Aotearoa New Zealand

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Intelligent and Converged Networks 2022年第3期3卷 244-259页

作者： Ming Xiang William Liu Edmund Lai Jairo Gutierrez Luca Chiaraviglio Jinsong Wu Control Science and Engineering South China University of TechnologyGuangzhou 510300Chinaand also with the South China Sea Institute of Planning and Environmental ResearchMinistry of Natural ResourcesGuangzhou 510300China Department of Computer Science and Software Engineering School of EngineeringComputer and Mathematical SciencesAuckland University of TechnologyAuckland 1010New Zealand Department of Electronic Engineering University of Rome“Tor Vergata”Rome 00133Italy Consorzio Nazionale Interuniversitario per le Telecomunicazioni(CNIT) Parma 43124Italy Department of Electrical Engineering Universidad de ChileSantiago 92101Chile

New Zealand government’s Rural Broadband Initiative(RBI)aims to invest 400 million New Zealand dollar to provide 99%of New Zealanders with access to 50 Mbps peak broadband speed,with the remaining 1%at 10 Mbps by *** 2017,stage 1 of the RBI has been completed,and research is needed to find out the level of usage,proficiency,and productivity achieved by ***,a survey was carried out to learn whether the rural residents and their communities are making good use of the new fast broadband *** survey collected data from 217 rural residents from North Island,and the results indicate that about half of the interview respondents are satisfied with the new broadband speed and the reliability which is offered by RBI stage ***,there is about 28%of the respondents disagreed with *** majority of the Internet uses for rural residents are information searching,reading news,online entertainment,and online *** that,only a small proportion of respondents know how to utilize the Internet in their work/business and benefit/profit from it,e.g.,using cloud technology capabilities and online marketing campaigns,*** ***,we argue that information and communications technologies(ICT)adoption is not only the availability of the infrastructure but also the beneficial outcomes of Internet *** other words,Internet skills in-depth training and education need to catch up with the infrastructure deployment,which is useful to fuel the digital productivity and inclusion for booming rural *** survey data-driven findings presented in this paper could serve as a reference to inform government policymakers and those who wish to create,invest,and take actions to speed up the economic and social growth of rural communities in Aotearoa New Zealand through the Internet while shifting from the Internet speed and traffic volume-driven to a more effective Internet connectivity and value-added driven rural economy.

关键词： data driven approach data-supported decision and policy making digital exclusion information and communications technologies(ICT)adoption effective connectivity rural broadband usage rural economic development

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Synergizing GAN and Customized Neural Network for Enhanced Brain Stroke Prediction: A Web-based Implementation

Synergizing GAN and Customized Neural Network for Enhanced B...

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International Conference on computer and Information Technology (ICCIT)

作者： Md. Musab Us Saber Shakin Md. Minhazul Islam Md. Rakib Hossain S. M. Mahedy Hasan Farzana Akter Shykul Islam Siam Azmain Yakin Srizon Md. Faruk Hossain Department of Electronics & Telecommunication Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical & Electronic Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh

ISBN: (数字)9798331519094

ISBN: (纸本)9798331519100

Brain strokes are a global health concern, demanding effective predictive models to mitigate risks and enhance preventive interventions. Timely identification of individuals at risk is pivotal, and machine learning emerges as a promising avenue for accurate stroke prediction, potentially transforming patient care. This study introduces a comprehensive approach utilizing machine learning, addressing challenges like missing data and class imbalance through Generative Adversarial Network (GAN) for data synthesis and balancing. The custom Artificial Neural Network (ANN) tailored to brain stroke prediction achieves outstanding performance with a 99.9% accuracy. Going beyond theoretical boundaries, the research translates into practical implementation through a web-based platform for real-world stroke prediction. This platform seamlessly integrates the high-performing model, providing a user-friendly interface for individuals to assess their stroke risks. Notably, the custom ANN achieves a remarkable 95.11% accuracy even without accounting for missing data or data imbalance, underscoring its robustness in practical healthcare applications. In amalgamating advanced machine learning methodologies with practical solutions, this work significantly contributes to medical research and offers a tangible preemptive healthcare solution.

关键词： Solid modeling Accuracy Artificial neural networks Medical services Stroke (medical condition) Predictive models Generative adversarial networks Brain modeling Solids Synthetic data

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Simultaneous Communications and Sensing with Hybrid Reconfigurable Intelligent Surfaces

Simultaneous Communications and Sensing with Hybrid Reconfig...

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European Conference on Antennas and Propagation, EuCAP

作者： Ioannis Gavras George C. Alexandropoulos Department of Informatics and Telecommunications National and Kapodistrian University of Athens Greece Department of Electrical and Computer Engineering University of Illinois Chicago USA

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

Hybrid Reconfigurable Intelligent Surfaces (HRISs) constitute a new paradigm of truly smart metasurfaces with the additional features of signal reception and processing, which have been primarily considered for channel estimation and self-reconfiguration. In this paper, leveraging the simultaneous tunable reflection and signal absorption functionality of HRIS elements, we present a novel framework for the joint design of transmit beamforming and the HRIS parameters with the goal to maximize downlink communications, while simultaneously illuminating an area of interest for guaranteed localization coverage performance. Our simulation results verify the effectiveness of the proposed scheme and showcase the interplay of the various system parameters on the achievable Integrated Sensing and Communications (ISAC) performance.

关键词： Location awareness Simulation Human-robot interaction Europe Reconfigurable intelligent surfaces Integrated sensing and communication Metasurfaces Reflection Reliability Terahertz communications

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Sarcasm detection in product reviews using textual entailment approach 23

Sarcasm detection in product reviews using textual entailmen...

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Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval

作者： Shubham Sinha Tarun Vijeta Pratik Kishor Kubde Ayush Pradeep Gajbhiye Mansi Anup Radke Christopher Jones Department of Computer Science and Engineering Visvesvaraya National Institute of Technology India School of Computer Science and Informatics Cardiff University UK

ISBN: (纸本)9798400709227

Sarcasm is a form of sentiment characterized by the use of words that express the opposite of what is meant. Sarcasm detection has applications in multiple domains ranging from sentiment analysis in product reviews to user feedback, and online forums. Sarcasm detection is important to understand user opinions and intentions in areas such as sentiment-based classification and opinion mining. This can result in better product development and customer service. Sarcasm detection can be a challenging task because sarcastic sentences may use positive expressions to convey negative meanings or may use negative sentences to convey positive meanings. Also, sarcastic sentences form a very small component of the entire communication. The increasing use of sarcasm in various social media such as Twitter, Reddit, Amazon product reviews, etc. has highlighted the importance of detecting and understanding sarcasm in various contexts. Sarcasm detection is a challenging problem for NLP systems that often rely on statistical models for performing sentiment analysis. In this research, the focus is on the use of a textual entailment approach for detecting sarcasm. Textual entailment is a natural language inference task that involves determining whether one text (hypothesis) can be derived from another text (premise). The underlying assumption behind this approach is that - if there is a contradiction between the premise and hypothesis, we can say that the hypothesis is sarcastic. To test our approach, an annotated corpus of 3000 product reviews was developed methodically from the Amazon Reviews dataset and tested using the textual entailment approach. The proposed approach achieved an F1 score of 0.76 on this dataset. The result is better than the baseline considered which is the BERT binary classifier which gives an F1 score of 0.48 on the same dataset.

关键词： Hypothesis Natural Language Inference Premise Sarcasm Detection Textual Entailment

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Haptic Communication in a Redundant Sensorimotor Interactive Task

Haptic Communication in a Redundant Sensorimotor Interactive...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Cecilia De Vicariis Ekaterina Ivanova Vittorio Sanguineti Etienne Burdet Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Genoa Italy Imperial College of Science Technology and Medicine London UK School of Electronic Engineering and Computer Science Queen Mary University of London UK

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

We refer to joint action as any social interaction where two or more people coordinate their actions in space and time to bring about a change in the environment. We are constantly involved in joint actions in our daily life - lifting a piece of furniture, playing team sport, and during a rehabilitation session. Here, we aim at characterizing emergent coordination in pairs of participants mechanically coupled through a virtual elastic band while moving the hand through multiple via-points. We assessed the level of coordination in terms of temporal synchronization and trajectory similarity metrics. Overall, we found that participants changed their behaviour when mechani-cally coupled toward coordination, both in space and time, compared to their solo performances. However, coordination rapidly disappeared when the mechanical coupling was removed. These results provide insights into the understanding of the mecha-nisms underlying the development of joint coordination while haptically connected.

关键词： Measurement Couplings Robot kinematics Biomechatronics Robot sensing systems Trajectory Haptic interfaces Synchronization Sports

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Performance Degrading Faults in Branch Target Buffers and Branch Predictors: Exploration and Remedy

SSRN

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SSRN 2023年

作者： Filippou, Filippos Keramidas, Georgios Mavropoulos, Michail Nikolos, Dimitris Department of Computer Engineering & Informatics University of Patras Greece School of Informatics Aristotle University of Thessaloniki Greece

Voltage scaling increases the impact of process variations resulting in an exponential ramp-up in the number of malfunctioning SRAM cells. Our experimental findings reveal that for several percentages of malfunctioning cells (pfails) and processor configurations, the disabling of the faulty Branch Target Buffers (BTB) entries can incur significant average performance (AvP) degradation and even larger worst-case performance (WCP) degradation. To mitigate the impact on performance, we propose alternative BTB designs and we explore their applicability for various pfails. It is already known that malfunctioning cells at Branch Predictors (BP) impact only the performance. Under the single stuck-at fault model (SaFM) as well as under the multiple SaFM, the AvP degradation is small, while the WCP degradation is significant in many cases. However, all studies are based on SaFM which do not model all the faults caused by random process variations. Hence, we performed extensive simulations adopting, besides the multiple SaFM, a more suitable model, the random value fault model. Under both fault models we confirm that the AvP degradation is relatively small while the WCP degradation is significant. Our investigation is based on cycle-accurate simulations, the SPEC2006 benchmarks, a plethora of fault maps, and representative pfails. © 2023, The Authors. All rights reserved.

关键词： Voltage scaling

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