Edge Signal’s Post

Our paper on adaptive trajectory synchronization for human-robot collaboration in the presence of time delayed information is accepted for publication to IEEE L-CSS. The controller synchronizes robot trajectory to the human trajectory by accounting for time delays that arise due to estimating human trajectory using image processing, or sensor fusion for trajectory intent estimation, or computational limitations while carrying out joint human-robot collaboration tasks in manufacturing settings.  #cybermanufacturing #cphs

🔔🔔🔔 #MDPIfutureinternet [New Published Papers in 2024] Title: An Intelligent System for Determining Driver Anxiety Level: A Comparison Study of Two Fuzzy-Based Models Authors: Yi Liu (National Institute of Technology) and Leonard Barolli Please read at: https://lnkd.in/gY8QbBBt Keywords: #VANETs; #fuzzylogic; driver anxiety level

🔔#specialissue #mdpisymmetry We are glad to share with you a Special Issue "Asymmetric and Symmetric Study on Digital Twins and Cyber-Physical-Social Systems" https://lnkd.in/gWW-9ing ✔Special Issue Editors: Jiewu Leng et al. Guangdong University of Technology Institute of Automation, Chinese Academy of Sciences Donghua University ✔Excerpts from Special Issue Information: Symmetry is one of the most important notions in the digital twins [1] and cyber-physical-social systems[2]. Digital twin technologies leverage the new generation of information technologies, industrial Internet technologies, and artificial intelligence technologies to facilitate perceiving, learning, reasoning, and decision making in complex systems. The ultimate goal of digital twins is to drive systems smarter and more efficient... #digitaltwins #cyberphysicalsystems #Industry5.0 Computer and Symmetry/Asymmetry Section of Symmetry

This article focuses on advancing #outdoor #wireless #systems to better support ubiquitous #extended #reality (#XR) applications, and close the gap with current indoor wireless transmission capabilities. The authors propose a #hybrid #knowledge-#data #driven method for channel #semantic acquisition and multi-user beamforming in cell-free massive #multiple-#input #multiple-#output (#MIMO) systems. Specifically, they firstly propose a data-driven #multiple #layer #perceptron (#MLP)-Mixer-based auto-encoder for channel semantic acquisition, where the pilot signals, CSI quantizer for channel semantic embedding, and CSI reconstruction for channel semantic extraction are jointly optimized in an end-to-end manner. ---- Zhen Gao, Shicong Liu, Yu Su, Zhongxiang Li, Dezhi Zheng More details can be found at this link: https://lnkd.in/eH9dyvMn

In case you missed it here is the inspiring conversation between VERSES Founder & CEO, Gabriel René, and Analog AI Founder & CEO, Alex Kipman, on edge computing, sensor fusion, digital twins, augmented reality, and AI in the context of smart cities.

📢 Exciting Announcement from Qabacus and Yasar University about Quantum Computing Applications in Telecommunications! 📢 We are thrilled to share that researchers from Yasar University have performed the first high-performance simulations for wireless massive MIMO systems demonstrating the promising advantage of quantum computing in wireless telecommunications. 📄 Theoretical model, published in IEEE Transactions on Wireless Communications (https://lnkd.in/dkkH9bu8), satisfies state-of-the-art semidefinite programming (SDP) performance and achieves near-optimum performance for massive MIMO decoding using the Quantum Approximate Optimization Algorithm (QAOA). 🔬 We have performed experiments in collaboration with Yasar University, for the first time globally, using IBM Eagle quantum processors (https://lnkd.in/dptWpWaQ), demonstrating highly promising experimental feasibility for massive MIMO decoding. These results are currently under peer review and have been shared as a preprint in TechRxiv. (https://lnkd.in/dctX6DB4). Quantum computing holds significant promise for next-generation wireless telecommunications applications, and we are excited to contribute to this cutting-edge field. Stay tuned for more updates and innovations from Qabacus! 😊 #QuantumComputing #WirelessTelecommunications #MIMOSystems #QAOA #SDP #Innovation #Research

Taqtile Leverages Spatial Computing To Advance Antiquated Inspection Processes: Taqtile, a leader in augmented reality (AR)-based work instruction solutions, has announced a dramatic advance in how industrial and defense industry customers conduct inspections and track equipment faults. With newly introduced innovations implemented in Manifest, users can more efficiently and thoroughly flag faults identified within the inspection process and, subsequently, track and independently manage those faults. These new capabilities, combined with the innate power of the Manifest spatial-computi http://dlvr.it/T6HsnY #ndt

#Stacked #intelligent #metasurfaces (#SIM) is a revolutionary technology, which can outperform its single-layer counterparts by performing advanced signal processing relying on wave propagation. In this work, the authors exploit SIM to enable transmit precoding and receiver combining in #holographic #multiple-#input #multiple-#output (#HMIMO) communications, and they study the achievable rate by formulating a joint optimization problem of the SIM phase shifts at both sides of the transceiver and the covariance matrix of the transmitted signal. Notably, the authors propose its solution by means of an iterative optimization algorithm that relies on the projected gradient method, and accounts for all optimization parameters simultaneously. They also obtain the step size guaranteeing the convergence of the proposed algorithm. ---- Anastasios Papazafeiropoulos, Ph.D., SMIEEE, Jiancheng An, Pandelis Kourtessis, Symeon Chatzinotas More details can be found at this link: https://lnkd.in/evxgkQcy

Multi-modal sensing data can provide perception about the communication environment and aid various wireless communication decisions. Most sensors, however, have ranges that are much shorter than the communication range. To address that, we envision that these sensors will eventually need to be distributed in the environment, leading to a multi-modal sensing network assisting the communication network. Communicating all these sensing data, though, could cause significant overhead on the network. This motivates sending only the environment semantics that are relevant to the end communication task. In this journal paper, we investigate the different aspects of this direction using a large-scale real-world dataset from DeepSense 6G.  Led by my PhD students Shoaib Imran and Gouranga Charan, Ph.D. Paper: https://lnkd.in/ggjazHsX Dataset and code are available on the DeepSense website (Scenario 41): https://lnkd.in/gWEDznAk #6G #semantics #deeplearning #multimodal #sensing #mimo

This paper studies #over-#the-#air #federated #learning (#OTA-#FL) in massive #multiple-#input #multiple-#output (#MIMO) systems with limited number of #radio #frequency (#RF)-chains. For this setting, the beamforming for #over-#the-#air #model aggregation needs to be addressed jointly with antenna selection. This leads to an #NP-#hard #problem due to its combinatorial nature. The authors develop three different algorithms to solve the problem. First, we use the #penalty #dual #decomposition (#PDD) technique and propose a two-tier algorithm for joint antenna selection and beamforming. The second algorithm interprets the antenna selection task as a #sparse #recovery #problem and invokes the #least #absolute #shrinkage #and #selection #operator (#Lasso) algorithm to approximate the sparse solution. The third algorithm invokes the same sparse #recovery #based #interpretation, but employs the low-complexity method of fast iterative soft-thresholding to find a sparse solution. ----Saba Asaad, Hina Tabassum, 欧阳崇峻, @Ping Wang More details can be found at this link: https://lnkd.in/gMxFiisC