this paper proposes a novel robot joint with an integrated braking mechanism to enhance motion accuracy and flexibility. this joint design eliminates the need for additional bearings to support the motion shaft, resul...
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Embodied design is fostering relevant advancements in novel design methods for learning and innovation. Nevertheless, practice and research show that teaching and facilitating embodied design is a challenging task. th...
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In view of the 9;difficult9; situation of trash front-end classification, this paper proposes a novel intelligent classification trash bin based on Internet of things (IoT) technology. this trash bin uses both S...
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ISBN:
(纸本)9783031705069;9783031705076
In view of the 'difficult' situation of trash front-end classification, this paper proposes a novel intelligent classification trash bin based on Internet of things (IoT) technology. this trash bin uses both STM32C8T6 control module and K210 vision module to control the operation of the whole equipment. Firstly, the image of the trash bin is collected by the OV5642 camera. Secondly, the function of trash detection and classification can be realized by the K210 vision module. Finally, the recognition results are transmitted to the STM32C8T6 control module through the UART serial port in the form of data, which controls the motor module, ultrasonic module and buzzer module to achieve trash classification, compression crushing and other functions. the experimental results show that the average accuracy of trash recognition is more than 87%. Compared withthe traditional smart trash bin, the hardware of our design is added with recyclable trash compression and kitchen waste crushing structure, and the software of our design is added with LCD display interface for providing a more reliable, efficient and low-cost solution for trash classification.
Transformer-based multilingual question-answering models are used to detect causality in financial text data. this study employs BERT (Devlin et al., 2019) for English text and XLM-RoBERTa (Conneau et al., 2020) for S...
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the proceedings contain 23 papers. the special focus in this conference is on Advances in Secure Electronic Voting Schemes. the topics include: VOTING 2024 Preface;RLAs for 2-Seat STV Elections: Revisited;efficie...
ISBN:
(纸本)9783031692307
the proceedings contain 23 papers. the special focus in this conference is on Advances in Secure Electronic Voting Schemes. the topics include: VOTING 2024 Preface;RLAs for 2-Seat STV Elections: Revisited;efficient Weighting Schemes for Auditing Instant-Runoff Voting Elections;systematic User Evaluation of a Second Device Based Cast-as-Intended Verifiability Approach;On the Applicability of STARKs to Counted-as-Collected Verification in Existing Homomorphic E-Voting Systems;"You Shall Not Abstain!" A Formal Study of Forced Participation;transaction Fee Mechanism design with Active Block Producers;transaction Ordering Auctions;an Analysis of Fixed-Spread Liquidation Lending in DeFi;Structural Advantages for Integrated Builders in MEV-Boost;EIP-4844 Economics and Rollup Strategies;Message-Passing in the Extended UTxO Ledger;zeroAuction: Zero-Deposit Sealed-Bid Auction via Delayed Execution;scam Token Detection Based on Static Analysis Before Contract Deployment;A Comparative Gas Cost Analysis of Proxy and Diamond Patterns in EVM Blockchains for Trusted Smart Contract Engineering;IZPR: Instant Zero Knowledge Proof of Reserve;a New Approach to Estimating Bitcoin Production Cost;ethereum Proof-of-Stake Consensus Layer: Participation and Decentralization;short Paper: the PoW Landscape in the Aftermath of the Merge;accountable Wallet: A Comprehensive Framework for Proving the Multifaceted Legitimacy of Wallet;Reconstitution of NFTs Based on a Game theory Model;Regulatory Implications of MEV Mitigations;towards Regulation of Brazilian Blockchain Utilization;an Analysis and Proposal on Standardization and R&D Strategies to Promote Responsible Development of Digital Asset.
Self-driving cars are a dynamically growing industry, fundamental to transportation and robotics, providing a higher demand for AI specialists. Nevertheless, as occurs with so many things, the theoretical understandin...
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the proceedings contain 33 papers. the special focus in this conference is on IoT as a Service. the topics include: Highway Obstacle Recognition Based on Improved YOLOv7 and Defogging Algorithm;cloud Gaming Resource M...
ISBN:
(纸本)9783031705069
the proceedings contain 33 papers. the special focus in this conference is on IoT as a Service. the topics include: Highway Obstacle Recognition Based on Improved YOLOv7 and Defogging Algorithm;cloud Gaming Resource Management Platform Based on Edge Intelligence;hardware-Efficient Polar Decoder for 5G Internet of things Communication;design and Optimization of a Solar-Powered IRS and Relay Assisted MEC System;highway Image Enhancement Method Based on Jade;method and Practice of Borehole Group Detection in Borehole Drilling Based on Six-Axis Sensing;Deep Reinforcement Learning-Based Channel and Power Allocation in Multibeam LEO Satellite Systems;CSI-Based Signal Reconstruction for WiFi Localization;an Indoor Navigation Algorithm Using Multi-dimensional Euclidean Distance and the Adaptive Particle Filter;Research on the PID Controllers Algorithm of the Quad Rotor;Based on the Nonlinear State Equations of 6-DOF Robot with Application to Autonomous Flight;a Study on Collaborative Lane Change Decision Making of Multi-automated Vehicles Based on Deep Graph Reinforcement Learning;a Short Term Traffic Prediction Model Based on Deep Capture of Temporal Periodic Drift;multi-agent Reinforcement Learning for Cooperative On-Ramp Merging of Connected Automated Vehicles;SVM Multi-class Classification Method for Device Identification Using Eye Diagram Parameters;users Collaborative Computing for Hierarchical Federated Learning Based on Incentive Mechanism;spatio-Temporal Traffic Prediction of Wireless Communication Network Based on Multi-source Data;flying Ad-Hoc Network Routing Protocol Based on Backward Algorithm;A Novel HPSO-IGWO Algorithm for Rapidly Searching Optimal Fire Rescue Paths Based on IoT Architecture;A Hybrid WOA-MTCNN Algorithm for Accurate Face Detection Based on IoT Architecture.
A metasurface-loaded low-scattering strut has been proposed to reduce the radiation side lobe levels (SLLs) of front-fed reflector antennas. the H-shaped metasurface unit cells help to reduce the radar cross section (...
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Product design has a major, often under-estimated impact on sustainability. this article describes the process of a new sustainable product design aiming for integrating circular engineering and social aspects as an i...
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In the context of the Internet of Vehicles (IoV) and sixth-generation (6G) wireless communication, wireless radar and communication (RadCom) systems face the dual challenges of improving spectrum utilization efficienc...
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ISBN:
(纸本)9783031705069;9783031705076
In the context of the Internet of Vehicles (IoV) and sixth-generation (6G) wireless communication, wireless radar and communication (RadCom) systems face the dual challenges of improving spectrum utilization efficiency and lowering interference levels. the use of orthogonal frequency division multiplexing (OFDM) signals in a shared waveform system has the potential to mitigate mutual interference between communication and radar while also meeting the need for improved range resolution. Some researchers have proposed using the odd and even carriers of OFDM signals to modulate radar and communication functions, intending to achieve integration. Nevertheless, this methodology presents several concerns, such as the potential for interference between radar carriers and communication carriers and the negative impact caused by the cyclic prefix (CP) on radar performance. this study presents a new method that leverages OFDM and block subcarrier allocation techniques to enhance the integration of radar and communication system performance. the primary objective is to mitigate interference by consolidating radar and communication subcarriers while minimizing the detrimental effects of CP on radar performance by utilizing zero padding (ZP) as a replacement for CP. Furthermore, this method reduces pilot tone costs by utilizing radar data to estimate Doppler frequency offsets. It can dynamically adjust the number of radar and communication subcarriers to accommodate evolving performance demands. Simulation results indicate that in the presence of residual frequency offset, this solution enhances communication performance while slightly degrading radar performance.
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