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Sub-6G Domain-Adaptive Non-Contact Sensing Using Transformer and Prototypical Neural Network
Ming Zhang;Lu Ou;Chuangfeng Zhang;Kuang Luo;Shaolin Liao;Chengpei Tang
IEEE Transactions on Cognitive Communications and Networking
Year: 2025 | Early Access Article |
In recent years, Sub-6G non-contact sensing using Channel State Information (CSI) has garnered significant attention and yielded promising results. Particularly, as deep learning advances, an increasing number of studies are employing neural network models for non-contact sensing. However, most deep learning methods only consider short-range correlation among features. So when a model trained in a...Show More
A Vehicle Path Planning and Prediction Algorithm Based on Attention Mechanism for Complex Traffic Intersection Collaboration in Intelligent Transportation
IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Early Access Article |
In the development of smart cities, the transportation system plays a crucial role, with road congestion being particularly prominent under conditions of long-distance travel and high traffic volumes. This paper proposes a Vehicle Path Planning and Prediction Algorithm (VPPPA) based on an attention mechanism for complex traffic intersections collaboration in intelligent transportation systems. Our...Show More
Gesture Generation Via Diffusion Model with Attention Mechanism
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2024 | Conference Paper |
Generating natural and semantically aligned gestures from speech remains a challenging task in human-computer interaction due to the intricate relationship between speech and gestures. While recent advances in learning-based methodologies have shown progress, they exhibit limitations like limited diversity and fidelity, as well as a mismatch between generated gestures and the semantic and emotiona...Show More
Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation
Yongsen Zheng;Pengxu Wei;Ziliang Chen;Chengpei Tang;Liang Lin
To facilitate more accurate and explainable recommendation, it is crucial to incorporate side information into user-item interactions. Recently, knowledge graph (KG) has attracted much attention in a variety of domains due to its fruitful facts and abundant relations. However, the expanding scale of real-world data graphs poses severe challenges. In general, most existing KG-based algorithms adopt...Show More
Intelligent Bus Operation Optimization by Integrating Cases and Data Driven Based on Business Chain and Enhanced Quantum Genetic Algorithm
Intelligent public transport systems are a key direction for the study of intelligent transportation systems (ITSs), and they perform the following functions: location and tracking, aided navigation, dispatch and command, and dynamic information release; these systems also help travelers determine optimal routes. This paper mainly studies intelligent bus operation optimization by integrating cases...Show More
WiFi-Based Cross-Domain Gesture Recognition via Modified Prototypical Networks
IEEE Internet of Things Journal
Cited by: Papers (36)
Numerous deep learning studies have achieved remarkable advances in WiFi-based human gesture recognition (HGR) using channel state information (CSI). However, since the CSI patterns of the same gesture change across domains (i.e., users, environments, locations, and orientations), recognition accuracy might degrade significantly when applying the trained model to new domains. To overcome this prob...Show More
Analysis and Optimization of Urban Public Transport Lines Based on Multiobjective Adaptive Particle Swarm Optimization
Urban public transport is a very complex system, and with the development of urbanization, there are many new urban traffic characteristics. Making bus routes and scheduling strategies more efficient, scientific and accurate has a positive impact on the actual operation of public transport. To solve the urban public transport line design problem, this paper describes the implicit law of the charac...Show More
Robust Human Activity Recognition System with Wi-Fi Using Handcraft Feature
2021 IEEE Symposium on Computers and Communications (ISCC)
Year: 2021 | Conference Paper |
WiFi-based Human activity recognition (HAR) system has the drawback of the new domain inadaptability. Numerous studies have proposed to solve this problem, but these methods have the limitations of needing the new domain data or fine-tuning the model. In this paper, we propose HARW, a cross-domain HAR system using Wi-Fi. Specifically, a novel domain-independent feature extraction algorithm is prop...Show More
Fingerprint-based indoor localization has become one of the most attractive and promising techniques, and however, one primary concern for this technology to be fully practical is to maintain the fingerprint database to combat harsh indoor environmental dynamics, especially for the large-scale and long-term deployment. In this paper, focusing on room localization, we first analyze the effect of di...Show More
A Non-Intrusive Multi-Parameter Fault Diagnosis System for Industrial Machineries
2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)
Year: 2018 | Conference Paper |
Induction motor, especially driving motor, is the critical component for various modern industrial machineries. Fault diagnosis of induction motor is therefore a necessary and crucial task to ensure the machinery health and prevent vital damages. Conventional diagnosis methods are mainly based on intrusive sensors to measure certain physical parameters. However, intrusive sensors are costly and ha...Show More
An Energy-Image Based Multi-Unit Power Load Forecasting System
Chengpei Tang;Shanqing Wang;Chancheng Zhou;Xiaolong Zheng;Hua Li;Xiangjian Shi
2018 IEEE International Conference on Industrial Internet (ICII)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
Electric energy is one of the most important energy sources for modern industry. The electrical power system is expected to achieve the dynamic balance between electricity generation and electricity consumption, to avoid thriftless excessive generation or power shortage. In this paper, we propose EMPLF, an energy-image based multi-unit power load forecasting system that applies Internet of Things ...Show More
Joint Downlink/Uplink Power Optimization for Broadband Full-duplex Cellular Systems
2018 25th International Conference on Telecommunications (ICT)
Year: 2018 | Conference Paper |
In this paper, we consider a broadband cellular system with a full-duplex base station and half-duplex mobile stations, employing orthogonal frequency-division multiple access (OFDMA) in the downlink and single-carrier frequency-division multiple access (SC-FDMA) in the uplink. Our goal is to maximize the weighted network sum rate by jointly optimizing the downlink/uplink transmit power allocation...Show More
Using Statistical Image Model for JPEG Steganography: Uniform Embedding Revisited
Linjie Guo;Jiangqun Ni;Wenkang Su;Chengpei Tang;Yun-Qing Shi
Uniform embedding was first introduced in 2012 for non-side-informed JPEG steganography, and then extended to the side-informed JPEG steganography in 2014. The idea behind uniform embedding is that, by uniformly spreading the embedding modifications to the quantized discrete cosine transform (DCT) coefficients of all possible magnitudes, the average changes of the first-order and the second-order ...Show More
Design of UHF RFID reader based on AS3991
2010 IEEE International Conference on RFID-Technology and Applications
Year: 2010 | Conference Paper |
Cited by: Papers (2)
This paper introduces a design solution of UHF reader based on AS3991 and the selection for key parts is finished. The paper expatiates the hardware structure, working flow and software design. The UHF reader operates at the frequency of 912 MH, it can support the mainstream standards of 900 MHz RFID EPC Gen2 and ISO18000-6C/6B. Using the internal PA and internal VCO which integrated on the RF chi...Show More
WSID identification platform of heterogeneous networks based on RFID and WSN
2010 IEEE International Conference on RFID-Technology and Applications
Year: 2010 | Conference Paper |
Cited by: Papers (1)
RFID (Radio Frequency Identification) and WSN (Wireless Sensor Network) are technologies that be widely used and have a profound impact on human society. This paper puts forward a WSID identification platform of heterogeneous network which integrates wireless sensor networks technology, RFID technology, GIS location technology together. The platform uses dual-frequency-and-dual-protocol RFID reade...Show More
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