Kai Li

ORCID: 0009-0008-4519-4757
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Research Areas
  • Advanced Sensor and Control Systems
  • Advanced Algorithms and Applications
  • Fuzzy Logic and Control Systems
  • Scheduling and Timetabling Solutions
  • Robotics and Sensor-Based Localization
  • Cloud Computing and Resource Management
  • Vehicle Routing Optimization Methods
  • Digital Media and Visual Art
  • Integrated Circuits and Semiconductor Failure Analysis
  • VLSI and Analog Circuit Testing
  • Visual Attention and Saliency Detection
  • Distributed and Parallel Computing Systems
  • Advanced Computational Techniques and Applications
  • Infrared Target Detection Methodologies
  • Advanced Image and Video Retrieval Techniques
  • Metaheuristic Optimization Algorithms Research
  • Image and Object Detection Techniques
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Data Storage Technologies
  • Construction Management and Sustainability
  • Advanced Neural Network Applications
  • Underground infrastructure and sustainability

Xi'an University of Architecture and Technology
2023

Nanchang Institute of Technology
2022

China Southern Power Grid (China)
2020

Wuhan University
2015

Rice University
2012

Changsha University
2011

Hebei University of Science and Technology
2007

In this paper, we present a robust line segment detection algorithm to efficiently detect the segments from an input image. Firstly parameter-free Canny operator, named as CannyPF, is proposed robustly extract edge map image by adaptively setting low and high thresholds for traditional operator. Secondly, both efficient linking splitting techniques are collect collinear point clusters directly map, which used fit initial based on least-square fitting method. Thirdly, longer more complete...

10.1109/icip.2015.7350850 article EN 2022 IEEE International Conference on Image Processing (ICIP) 2015-09-01

The rapid advancement of deep learning has significantly accelerated progress in target detection. However, the detection small targets remains challenging due to their susceptibility size variations. In this paper, we address these challenges by leveraging latest version You Only Look Once (YOLOv7) model. Our approach enhances YOLOv7 model improve feature preservation and minimize loss during network processing. We introduced Spatial Pyramid Pooling Cross-Stage Partial Channel (SPPCSPC)...

10.3390/app13169316 article EN cc-by Applied Sciences 2023-08-16

This paper proposes a novel minimal test point insertion methodology that provisions provably complete detection of hardware Trojans by noninvasive timing characterization. The objective is to break the reconvergent paths so target routes for Trojan delay testing are specifically observed. We create satisfiability-based input vector selection sensitizing and characterizing each single path. Evaluations on benchmark circuits demonstrate point-based can cover all circuit locations detect...

10.1145/2429384.2429508 article EN 2012-11-05

For effects of the parameters fuzzy controller with nonlinear scaling factors on a system's performance and are interactive, this paper proposes method based genetic algorithm (GA) to tune optimize parameters. Simulation results show that system which adopted derived from has better dynamics static property. When or structure plant is changed, can maintain good indicators through re-tuning stronger robustness.

10.1109/icmlc.2007.4370180 article EN International Conference on Machine Learning and Cybernetics 2007-08-01

Artificial bee colony (ABC) is an efficient global optimisation algorithm. It has attracted the attention of many researchers because its simple concept and strong exploration. However, it exhibits weak exploitation capability. To improve this case, a novel ABC with modified search strategy (namely MSABC) proposed in work. In MSABC, some elite solutions are preserved used to guide search. addition, MSABC uses generate offspring replace probability selection onlooker phase. evaluate...

10.1504/ijcsm.2022.125917 article EN International Journal of Computing Science and Mathematics 2022-01-01

For effects of the parameters fuzzy controller with nonlinear scaling factors on a system's performance and are interactive, this paper proposes self-adaptive based genetic algorithm (GA). Simulation results show that proposed has better dynamics static property. When or structure plant is changed, presented can maintain good indicators stronger robustness.

10.1109/gsis.2007.4443413 article EN IEEE International Conference on Grey systems and Intelligent Services 2007-11-01

Green construction is an engineering activity that embodies the concept of sustainable development in process construction. Through scientific management and technological progress, it saves resources protects environment to maximum extent, realizes requirements green construction, produces building products. Promoting power transmission transformation projects inevitable requirement based on new stage implementing important measure help achieve goal "carbon peaking carbon neutrality". As...

10.1117/12.2673683 article EN 2023-04-25

Abstract Distributed storage is the part of distributed computing. It an easy-to-expand and virtualized resource pool. In order to meet needs large-scale structure applications, reliable mass data services are provided. Redundant needed deal with unreliability caused by node failure. The lower cost file transmission, less traffic generated in network. According time logic, regeneration process divided into stages: distribution, encoding decoding, transmission reconstruction. feedback...

10.1088/1742-6596/1606/1/012018 article EN Journal of Physics Conference Series 2020-08-01
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