A5003126941- Forensic and Genetic Research
- Forensic Anthropology and Bioarchaeology Studies
- Islanding Detection in Power Systems
- Molecular Biology Techniques and Applications
- Traditional Chinese Medicine Studies
- Power Systems Fault Detection
- Water Quality Monitoring and Analysis
- Smart Grid Security and Resilience
- Spectroscopy and Chemometric Analyses
- Technology and Security Systems
- Forensic Entomology and Diptera Studies
Kunming University of Science and Technology
2023-2024
North China Electric Power University
1983-1985
Background: Bloodstains are a prevalent and critical type of forensic evidence at crime scenes. Accurate determination bloodstain age is essential for resolution, non-destructive spectral methods instrumental...
A new method for high-resistance earth-fault distance protection, capable of calculating fault independent resistance, is presented with an accuracy analysis which shows that calculation accuracy, depends on various application parameters, may be uniquely established by a measurable index. Relay overreach avoided reference to the Conclusions aredrawn from results laboratory tests microprocessor implementation algorithm. The resistive tolerance found depend actual but as much four times...
As one of the most important types evidence at scene crime, rapid identification human bloodstain is great significance to solve criminal case. In this paper, spectral data different species samples including human, chicken and pig were acquired by using a hand-held near-infrared spectrometer. Then, training models established via convolutional neural network-support vector machine algorithm. Meanwhile, traditional support machine, genetic algorithm-back propagation random forest...
How to identify bloodstains and obtain some potential evidence is of great significance for solving criminal cases. First, the spectral data different species bloodstain samples (human blood animal blood) were acquired by using a hyperspectral imager. Then, an extreme learning machine (ELM) algorithm was used build training models samples. Meanwhile, two traditional support vector random forest classification algorithms also compared with ELM algorithm. The prediction results showed that...
Nicotine and glycerol are the two important indexes of reconstituted tobacco they determine quality tobacco. A hand-held near infrared spectrometer was used to collect spectral data leaves, three algorithms principal component regression, partial least squares support vector machine were build prediction model nicotine content in leaves. The experimental results showed that algorithm could achieve best compared with regression algorithms. proposed method can rapidly leaves it provides a new...
The most common trace of evidence at a crime scene is blood.
It is important to identify the types of tobacco diseases accurately and take effective control measures in time improve efficiency planting. In this paper, a hand-held nearinfrared spectrometer was used collect spectral data different disease samples. The training models were established via convolutional neural network algorithm. Meanwhile, traditional classification algorithms support vector machine back propagation also compared. results showed that prediction accuracy algorithm highest...