- Error Correcting Code Techniques
- Advanced Wireless Communication Techniques
- Interconnection Networks and Systems
- Embedded Systems Design Techniques
- Cellular Automata and Applications
- Parallel Computing and Optimization Techniques
- Indoor and Outdoor Localization Technologies
- Robotics and Sensor-Based Localization
- Radio Frequency Integrated Circuit Design
- Industrial Technology and Control Systems
- Advanced Data Storage Technologies
- Evaluation and Optimization Models
- DNA and Biological Computing
- Distributed and Parallel Computing Systems
- GaN-based semiconductor devices and materials
- Advanced Memory and Neural Computing
- Underwater Vehicles and Communication Systems
- Cooperative Communication and Network Coding
- Advanced Manufacturing and Logistics Optimization
- Evaluation Methods in Various Fields
- Microwave Engineering and Waveguides
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Decision-Making Techniques
- Cloud Computing and Resource Management
University of Electronic Science and Technology of China
2010-2024
Jingdezhen Ceramic Institute
2023
China Three Gorges University
2019
China Energy Engineering Corporation (China)
2019
Broadcom (United States)
2018
Central South University
2014
Huaiyin Institute of Technology
2013
Air Force Engineering University
2004-2012
University of Oklahoma
2007-2011
Shanghai Jiao Tong University
2009
Location-based service (LBS) has gradually penetrated into all aspects of human life. The current indoor positioning algorithms include triangulation, least squares, fingerprint, maximum likelihood estimation, and so on. These have requirements for the deployment density access point (AP). Since AP is directly related to equipment cost, AP-based method a high-cost problem that cannot be ignored. Furthermore, accuracy traditional will sharply decline in field with low density. In order solve...
In bit-patterned magnetic recording (BPMR), inter-track interference (ITI) becomes a major impairment due to the small track pitch. One way mitigate ITI is equalize read channel two dimensional (2D) partial-response (PR) target. However, we find that detection on center cannot take advantage of 2D target without good estimation data sidetracks. Therefore, propose multi-track technique, where aided by information obtained from This technique works with any equalizer capable equalizing We...
Over the last decades, researchers have invented many positioning algorithms for pedestrians in indoor environment, such as trilateration, fingerprint, and pedestrian dead reckoning (PDR) system. However, is still difficult to solve with current technology. The fingerprint trilateration based on received signal strength indicator (RSSI) usually require filters stabilize RSSI signal, which will cause a delay positioning, fatal real-time positioning. PDR system inertial measurement unit (IMU)...
Visual Simultaneous Localization and Mapping (VSLAM) has undergone gradual development found widespread application. However, existing VSLAM systems predominantly rely on static environment assumptions, leading to diminished robustness localization accuracy in the presence of dynamic elements. Previous research primarily employed geometric semantic constraints address regions scene. Nevertheless, their efficacy is limited complex scenarios involving non-rigid objects, non-predefined motion...
The Visual Simultaneous Localization and Mapping method has a significant advantage in indoor positioning methods. VINS-Mono is one of the state-of-the-art works widely used many AR/VR applications on smartphone. However, based smartphone, low accuracy IMU leads to disappointing estimate initialization scale VINS-Mono, which makes assignable error subsequent positioning. In addition, time consumption loop detection module high, can be replaced if there are other global measurements...
This letter presents VoxelMap++: a voxel mapping method with plane merging which can effectively improve the accuracy and efficiency of LiDAR(-inertial) based simultaneous localization (SLAM). map is collection voxels that contains one feature 3DOF representation corresponding covariance estimation. Considering will contain large number coplanar features (kid planes), these kid planes' be regarded as measurements larger (father plane). Thus, we have designed module on union-find. capable...
With the development of mobile Internet, demand for indoor location based services(ILBS) is increasing. Applications and devices in environments can determine their position on Received Signal Strength Indication(RSSI) bluetooth Beacons. However, because multipath effects, shadow fading blockage obstacles, RSSI values are unstable positioning. The propagation model various different environments, which have caused great difficulty high-precision In this paper, a novel positioning algorithm...
The performance of nonbinary LDPC codes on perpendicular magnetic recording channels (PMRCs) with 4-kB sectors is investigated. Each sector encoded by either 4- or 0.5-kB-long codes. Both quasi-cyclic (QC) and nonquasi-cyclic (non-QC) low-density parity-check (LDPC) are designed, a set simulations in mixture 10% additive white Gaussian noise (AWGN) 90% position jitter power, without turbo equalization rereading technique, presented. results show that sector-long perform better than 0.5-kB...
In this paper, a List Simulated Anneal (LSA) algorithm is proposed for the DAG tasks scheduling on Network-on-chip to simultaneously optimize makespan, load balance and average link load. A task list first created tasks, task-to-processor assignment performed using Best Fit rule. Then generated schedule further optimized LSA. LSA, execution order determined by list, mapping solution simulated annealing. By conducting series of simulation, performance our proposal validated . Comparing random...
Abstract Traditional federated learning algorithms suffer from considerable performance reduction with non-identically and independently distributed datasets. This paper proposes a algorithm based on parallel-ensemble learning, which improves for image classification these The training process of this includes basic federation meta learning. First, several models are trained through cross-validation then the meta-model is using prediction results validation sets. In process, different...
The remarkable success of deep learning (DL) in predicting battery health has prompted interest its application recent years. While state-of-the-art DL models have achieved high accuracy prediction, they not been widely adopted industrial workflows, primarily due to their lack interpretability and security. To address this issue, we propose a blockchain-based interpretable prediction algorithm for electric vehicles (EVs) within the Internet Vehicles (IoV). Specifically, proposed method...
Simultaneous Localization and Mapping (SLAM) has become a critical technology for intelligent transportation systems autonomous robots is widely used in driving. However, traditional manual feature-based methods challenging lighting environments make it difficult to ensure robustness accuracy. Some deep learning-based show potential but still have significant drawbacks. To address this problem, we propose novel hybrid system visual SLAM based on the LightGlue learning network. It uses local...
We consider a group of high-performance q-ary low-density parity-check (LDPC) coded perpendicular magnetic recording channels (PMRCs) with optimized targets and codes over various field sizes. show that the nonbinary LDPC-coded PMRCs provide 1-dB coding gain practical implementation good binary PMRC at user density 1.22, evaluate decoding complexities these systems in terms both number floating-point (FLP) operations computational time. Decoding complexity ratios to system are presented....
Abstract Coin selection method refers to the process undergone when selecting a set of unspent transaction outputs (UTXOs) from cryptocurrency wallet or account use as inputs in each transaction. The most applied coin that UTXO-based cryptocurrencies currently employ is an algorithm decides on certain UTXOs matches target amount and limits fee. However this approach trades off favourable maintenance overhead entire network for low fees, many low-value known “dust” produced. Over time, will...
For the different communications of specific NOC (network on chip) applications, this paper proposes a customized arbitral priority router. This router uses mechanism based lottery algorithm instead RR (round robin) algorithm, which is widely used in arbiter current routers. The can be by users according to communication cases among IPs NOC. Through analysis input ports competing for same output port, it illustrated that distinguish priorities and guarantee response high port. SystemC...
One of the possible island distributions being considered for bit-patterned magnetic recording is a hexagonal array, leading to what called staggered media. In this paper, we investigate equalization techniques and bit error rate (BER) performance two different methods on media-namely, one array per track or single-track media arrays double-track With equalization, may reduce intertrack interference (ITI) outperform single recording. However, new multitrack detection technique proposed...
Aiming at the applications of NOC (network on chip) technology in rising scale and complexity chip systems, a Torus structure corresponding route algorithm for is proposed. This improves traditional topology redefines denotations routers. Through redefining router changing original locations, application reconstructed. On basis this structure, dead-lock live-lock free designed according to dimension increase. System C used implement simulated. In four different traffic patterns, average,...
With the development of VDSM, rising scale and complexity system-on-chip induce significant communication challenges in bus based architectures. The interconnect delay unpredictable are gradually becoming bottle neck increasing for on-chip systems. Current NOC (network on chip) provides an effective solution to these problems. In this paper, we study Torus topology bring forward a structure NOC. Besides, propose dead-lock live-lock free route algorithm. During simulation, found that our...
In this paper, we investigate RS plus LDPC concatenated architectures for perpendicular magnetic recording channels. Using simulations, find the optimal code rate and iterative scheme codes, compare their performance in both random noise media defects, show that those whose inner codes have lower column weights exhibit better performance. addition, estimate of with weight two, at very high signal-to-noise ratios, error floors.
In this paper, we apply neural networks to the encoding and decoding of polar codes. Polar codes in 5G communication which meets simple ultra-low latency can also be improved. This paper aims improve achieve simplicity hardware friendliness. After trained by network, get a math formula estimate reliability codes, same effect as GA (Gaussian Algorithm). terms decoding, using NND (Neural Network Decoding) decode almost conventional SC (Successive Cancellation) algorithm. order further...
This paper presents a NoC (network-on-chip) simulation and verification platform (NSVP) based on SystemC. A general node structure is first realized under SystemC, then connected to form the network. NSVP supports an arbitrary size of mesh torus topology, adopts two classic routing algorithms - XY TXY as algorithm. Users also can develop their own network topology algorithm by modifying corresponding modules. Then they verify design loading different traffic patterns run simulation. provides...