A5102728060- Advanced Chemical Sensor Technologies
- Spacecraft Dynamics and Control
- Video Surveillance and Tracking Methods
- IoT-based Smart Home Systems
- Hydraulic and Pneumatic Systems
- Sensorless Control of Electric Motors
- Power Systems and Renewable Energy
- Infrared Target Detection Methodologies
- Advanced Sensor and Control Systems
- Electric Motor Design and Analysis
- Power Systems and Technologies
- Real-time simulation and control systems
- Inertial Sensor and Navigation
- Space Satellite Systems and Control
- Service-Oriented Architecture and Web Services
- Advanced Control Systems Optimization
- Smart Grid and Power Systems
- Fluid Dynamics and Turbulent Flows
- Advanced Computational Techniques and Applications
- Guidance and Control Systems
- Adaptive Control of Nonlinear Systems
- Fire Detection and Safety Systems
- Adaptive optics and wavefront sensing
- Advanced Image Processing Techniques
- Software System Performance and Reliability
State Grid Corporation of China (China)
2018-2025
IBM Research (China)
2007-2024
Beihang University
2015-2024
China Electric Power Research Institute
2012-2023
North China Electric Power University
2009-2023
University of Jinan
2006-2023
Peng Cheng Laboratory
2023
Zhaoqing University
2023
Xiamen University
2023
Chengdu University of Information Technology
2019-2022
This paper presents a distributed multi-human location algorithm for binary pyroelectric infrared sensor tracking system. The space of our system is divided into many uniform static sub-regions. A two-level regional location, partitioning and dynamic partitioning, proposed. Naive Bayes classifier used to simplify the human in sub-region, we achieve initial by fusing all internal measuring points sensors. Taking this as center, new secondary sub-region defined its sensors are fused again get...
Abstract Static analysis tools are widely used for vulnerability detection as they can analyze programs with complex behavior and millions of lines code. Despite their popularity, static known to generate an excess false positives. The recent ability Machine Learning models learn from programming language data opens new possibilities reducing positives when applied analysis. However, existing datasets train identification suffer multiple limitations such limited bug context, size, synthetic...
A novel hybrid evolutionary algorithm (HEA) by combination of particle swarm optimization (PSO) and genetic (GA) is proposed for solving unconstrained constrained problems. In the algorithm, evolution process divided into two stages. first stage similar to PSO, flies in hyperspace adjusts its velocity following particles with better fitness according flying experience itself neighbors. second GA, operators selection, reproduction, crossover, mutation are exerted on at predetermined...
In view of the complicated traffic condition in lights monitoring-control system, current conventional fixed-cycle light control is unable to make full use lanes. this paper, a novel simple and economic way used fuzzy theory optimize for single intersection designed presented based on wireless sensor network. The flow can be detected by single-axis magnetic sensors transmitted order realize real-time dynamic reduce vehicles' average trip waiting time (ATWT), vehicles passing during green...
The dual-channel self-mixing vibration measurement system in a linear cavity fiber laser with high sensitivity, flexibility, and potential remote sensing is proposed studied this paper. In addition, the output power optical feedback theoretically deduced simulated on basis of three-cavity model. Experimental results show that different movements each channel can be detected from interference filter technology are good agreement theoretical analysis. paper introduces new way to measure...
We present a credit-based multiple human location method for passive binary pyroelectric infrared sensor tracking system. Different from the traditional Fresnel-lens (PIR) system, we use special optical cone to design small and flat PIR network system propose petal-shape sensing model node. The angular bisector of one petal is detection line all intersection points activated lines are measurement pointes. return essence credit represent probability falling into field view sensors. Multiple...
With the ageing of population, timely assistance for living-alone elderly is becoming a worldwide problem. The precondition to correctly and perceive human behavior. thermopile array sensor one most promising perception sensors, similar low-resolution infrared imaging camera. Besides humans, computers many other objects indoors emit radiation hence can be captured by at same time. background image complex dynamically changing, we should remove dynamic background, i.e. non-human thermal...
The paper presents a survey of particle swarm optimization (PSO) applications in electric power systems. PSO, novel population based stochastic optimizer with faster convergence speed and simpler implementation than genetic algorithm ant colony optimization, has been successfully applied to solve problems such as optimal flow, economic dispatch, reactive unit commitment, generation transmission planning, maintenance scheduling, state estimation, model identification, load forecasting,...
In general, the dynamic design of a rotor system is to optimize in stability at operating speed, unbalance response vicinity critical speeds, and minimize weight considering economics. This paper deals with optimum shape shaft change speeds under constraints constant mass. As procedures, genetic algorithm was applied find diameters so that optimized can yield as far from speed possible. Genetic search based on natural world, which states individual superior character creates descendant...
Aero-optical effects for starlight transmission in the high-speed flow field will reduce accuracy of star sensor on an aircraft. Numerical simulations aero-optical usually require plenty calculations, which cause difficulties when designing a celestial navigation system In this study, Aero-Optical Simulator For Starlight Transmission (AOSST) boundary layer is developed. It effectively reduces computational burden compared to that widely used CFD simulation, and it achieves satisfactory...
In this paper, we address the problem caused by fixed assignment of task slots in Hadoop MapReduce. It is infeasible to manually configure optimal since characteristics various workloads are different. We design and implement an automatic control mechanism dynamically assign based on resource utilization each Task Tracker node. The takes lag period into account. can improve cluster-wide avoid contention. Experimental results show that our implementation adjust capacity setting runtime. some...
Cement emulsified asphalt mixture (CEAM) is widely used in pavement for its environmental virtues. However, a CEAM layer can influence fatigue performance of because higher air voids contrast to hot mix (HMA). Therefore, it common use HMA and structure combinations improving the performance. In this work, three different thickness (AC-10) (AC-16) were designed, which as top bottom layer, respectively. The was studied. equations established rational combination recommended. distributions...
The hybrid architecture of a cerebellar model articulation controller (CMAC) and proportional derivative (PD) can effectively reduce the loading error restrain surplus torque electric load simulators. However, due to over-learning problem CMAC, practical application CMAC-PD for simulators is greatly constrained. This paper analyses CMAC proposes novel learning scheme including control an inhibiting item. An intelligent with anti-over-learning derived by using gradient descent algorithm. Both...