A5062008708- Indoor and Outdoor Localization Technologies
- Speech and Audio Processing
- Underwater Vehicles and Communication Systems
- Radio Wave Propagation Studies
- Advanced Data Compression Techniques
- Web Data Mining and Analysis
- Radar Systems and Signal Processing
- Cryptography and Residue Arithmetic
- Recommender Systems and Techniques
- Advanced Sensor and Control Systems
- Data Mining Algorithms and Applications
- Image and Signal Denoising Methods
- Energy Efficient Wireless Sensor Networks
- Underwater Acoustics Research
- Wireless Sensor Networks and IoT
- Target Tracking and Data Fusion in Sensor Networks
- IoT-based Smart Home Systems
- Computational Physics and Python Applications
- Video Surveillance and Tracking Methods
- Complexity and Algorithms in Graphs
- Robotics and Sensor-Based Localization
- Cryptography and Data Security
Qiqihar University
2010-2024
University of Illinois Chicago
1985
Abstract With the rapid development of wireless communication technology, WiFi indoor positioning has become an important method for achieving localization. Achieving high accuracy in is a challenging issue. To enhance systems, this paper proposes algorithm that uses Random Forest (RF) AP selection and Crested Porcupine Optimizer (CPO) to optimize Support Vector Regression (SVR), referred as RF-CPO-SVR. The RF selects APs by evaluating feature importance each AP, reducing negative impact...
Article Free Access Share on Adaptive document clustering Authors: C. T. Yu Department of Electrical Engineering & Computer Science, University Illinois at Chicago, IL ILView Profile , Y. Wang H. Chen Authors Info Claims SIGIR '85: Proceedings the 8th annual international ACM conference Research and development in information retrievalJune 1985Pages 197–203https://doi.org/10.1145/253495.253525Published:05 June 1985Publication History 21citation390DownloadsMetricsTotal Citations21Total...
In recent years, research on attribute-based encryption (ABE) has expanded into the quantum domain. Because a traditional single authority can cause potential point of failure, an improved lattice-based quantum-resistant identity authentication and policy attribute scheme is proposed, in which generation random values optimized by adjusting parameters Gaussian sampling algorithm to improve overall performance. Additionally, key phase, attributes are processed according their shared nature,...
Abstract WiFi-based fingerprint indoor positioning technology has been widely concerned, but it facing the challenge of lack robustness to signal changes, and service requires fast accurate estimation. Therefore, an random forest-kernel extreme learning machine (RF-KELM) algorithm with good comprehensive performance is proposed in this paper. Both offline online phases are included by algorithm. In phase, original data WiFi first transformed into a form more suitable for positioning. Then,...
Abstract WiFi-based indoor positioning technology has gradually become a hot research topic in the field of positioning, but development this been facing challenge susceptibility to environmental interference. Therefore, paper, kernel function method (KFM) with stronger interference resistance is used for and adaptive <?CDATA $\sigma $?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>σ</mml:mi> </mml:math> algorithm proposed time-consuming laborious...
After the invention and popularization of computer continuous innovation development predecessors, swarm intelligence optimization algorithm theory has become an important tool in many fields. For example, whale is widely used circuit automatic design, control system optimal design problems aeronautical engineering. However, some problems: local search ability weak, it easy to fall into solution, convergence speed slow. This paper proposes improved (COOLWOA): cubic chaotic mapping instead...
Long coding time is the main problem in image compression based on Fractal at present, mainly due to its heavy computation of searching best-match domain block for each range block. A fast compress algorithm proposed. At coding, interpolation orthogonal multi-wavelets used original image, and then use basic fractal compress; during decoding, decoding decode, multi-wavelet transform restore image. Experimental results show that compared directly code, this method reduces time, signal noise...