Study of Causation Mechanism and Dynamic Feature for Typical Rear End Situations in China-FOT

2016 ◽  
Author(s):  
Xiaoyu Sun Xiaoyu Sun ◽  
Xichan Zhu Xichan Zhu ◽  
Lin Li Lin Li ◽  
Zhixiong Ma Zhixiong Ma
Keyword(s):  
Dynamic Feature

Critical Thinking and Its Implications for Contemporary Ijtihad

2010 ◽  
Vol 27 (4) ◽  
pp. 45-67
Author(s):  
Sayed Sikandar Shah ◽  
Mek Wok Mahmud
Keyword(s):  
Critical Thinking ◽  
Legal Theory ◽  
Dynamic Feature ◽  
Islamic Revival ◽  
Current State ◽  
Islamic Legal Theory ◽  
Islamic Jurisprudence ◽  
Revival Movements ◽  
State Of Affairs ◽  
Islamic Civilization

As an intellectual process, critical thinking plays a dynamic role in reconstructing human thought. In Islamic legal thought, this intellectual tool was pivotal in building a full-fledged jurisprudential system during the golden age of Islamic civilization. With the solidification of the science of Islamic legal theory and the entrenchment of classical Islamic jurisprudence, this process abated somewhat. Recent Islamic revival movements have engendered a great zeal for reinstituting this process. The current state of affairs in constructing and reconstructing Islamic jurisprudence by and large do not, however, reflect the dynamic feature of intellectual thought in this particular discipline. Thus this article attempts to briefly delineate this concept, unveil the reality on the ground, and identify some hands-on strategies for applying critical thinking in contemporary ijtihad.

Analysis of the Reasons of Driving Wandering and Research of Solution Methods

2014 ◽  
Vol 602-605 ◽  
pp. 795-798 ◽  
Author(s):  
Xuan Jiong Xu ◽  
Xue Xun Guo
Keyword(s):  
Evaluation Methods ◽  
Feature Analysis ◽  
Dynamic Feature ◽  
Vehicle Dynamic ◽  
Test And Evaluation ◽  
Solution Methods

Through research of vehicle dynamic feature, analysis and research of the problem of driving wandering by user retroactions, the article put forward some test and evaluation methods of driving wandering. And the article is discussed about main reasons and solutions of driving wandering in-depth.

scholarly journals Dynamic Feature Combination by Agreement for Image Classification

2020 ◽  
Vol 1631 ◽  
pp. 012151
Author(s):  
Chenghua Li ◽  
Wanguo Wang ◽  
Linzhi Liu ◽  
Tian Liang
Keyword(s):  
Image Classification ◽  
Dynamic Feature ◽  
Feature Combination

scholarly journals UAV Recognition Based on Micro-Doppler Dynamic Attribute-Guided Augmentation Algorithm

2021 ◽  
Vol 13 (6) ◽  
pp. 1205
Author(s):  
Caidan Zhao ◽  
Gege Luo ◽  
Yilin Wang ◽  
Caiyun Chen ◽  
Zhiqiang Wu
Keyword(s):  
Recognition Performance ◽  
Principal Component ◽  
Texture Features ◽  
Training Model ◽  
Recognition Algorithm ◽  
Discrete Wavelet ◽  
Dynamic Feature ◽  
Complex Environments ◽  
Time Frequency ◽  
Model Training

A micro-Doppler signature (m-DS) based on the rotation of drone blades is an effective way to detect and identify small drones. Deep-learning-based recognition algorithms can achieve higher recognition performance, but they needs a large amount of sample data to train models. In addition to the hovering state, the signal samples of small unmanned aerial vehicles (UAVs) should also include flight dynamics, such as vertical, pitch, forward and backward, roll, lateral, and yaw. However, it is difficult to collect all dynamic UAV signal samples under actual flight conditions, and these dynamic flight characteristics will lead to the deviation of the original features, thus affecting the performance of the recognizer. In this paper, we propose a small UAV m-DS recognition algorithm based on dynamic feature enhancement. We extract the combined principal component analysis and discrete wavelet transform (PCA-DWT) time–frequency characteristics and texture features of the UAV’s micro-Doppler signal and use a dynamic attribute-guided augmentation (DAGA) algorithm to expand the feature domain for model training to achieve an adaptive, accurate, and efficient multiclass recognition model in complex environments. After the training model is stable, the average recognition accuracy rate can reach 98% during dynamic flight.

scholarly journals Dynamic Feature Acquisition Using Denoising Autoencoders

2019 ◽  
Vol 30 (8) ◽  
pp. 2252-2262 ◽  
Author(s):  
Mohammad Kachuee ◽  
Sajad Darabi ◽  
Babak Moatamed ◽  
Majid Sarrafzadeh
Keyword(s):  
Dynamic Feature ◽  
Feature Acquisition
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