Novel Design Strategy Towards A2 Trojan Detection based on Built-In Acceleration Structure

Author(s):  
Ding Deng ◽  
Yaohua Wang ◽  
Yang Guo
2020 ◽  
Vol 56 (45) ◽  
pp. 6078-6081 ◽  
Author(s):  
Changhao Li ◽  
Yi Sun ◽  
Qiujie Wu ◽  
Xin Liang ◽  
Chunhua Chen ◽  
...  

A schematic illustration showing the preparation of HCM from a single sodium lignin sulfonate source and the process of Na storage.


2021 ◽  
Author(s):  
Simone Asci ◽  
Ketao Zhang

Abstract Among mobile robotic research field, legged locomotion is largely applied for advanced robotic systems due to the higher degree of versatility compared to wheeled robots, which allows them to successfully move and interact in unstructured environments; nevertheless, legged robots present several designing problems and require a much more complex control system. Based on an effective robotic leg, this paper presents a novel design, which integrates a cam joint, aimed to improve the versatility performances minimizing changes in the original model and without increasing the control complexity. Furthermore, the design strategy aims to exploit the coupled action of two actuators, which are disposed in a novel configuration so to gain versatility advantage while maintaining velocity performances of legs equipped with a single actuator. The model is presented through a kinematic analysis, followed by the simulation of the leg mechanism trajectory and a comparison with the original configuration.


2020 ◽  
Vol 78 ◽  
pp. 105610
Author(s):  
Hua Sun ◽  
Xiao Tan ◽  
Shenglong Sang ◽  
Qian Liu ◽  
Po Sun ◽  
...  

2004 ◽  
Vol 47 (23) ◽  
pp. 5683-5689 ◽  
Author(s):  
Laurie L. Parker ◽  
Stephen M. Lacy ◽  
Louis J. Farrugia ◽  
Cameron Evans ◽  
David J. Robins ◽  
...  

2020 ◽  
Vol 8 (5) ◽  
pp. 2672-2683 ◽  
Author(s):  
Yongyong Cao ◽  
Chenxia Zhao ◽  
Qiaojun Fang ◽  
Xing Zhong ◽  
Guilin Zhuang ◽  
...  

The electrochemical oxygen reduction reaction (ORR) to afford hydrogen peroxide (H2O2) provides an alternative to the traditional anthraquinone oxidation process.


Author(s):  
Edoardo Ragusa ◽  
Tommaso Apicella ◽  
Christian Gianoglio ◽  
Rodolfo Zunino ◽  
Paolo Gastaldo

AbstractEmbedding the ability of sentiment analysis in smart devices is especially challenging because sentiment analysis relies on deep neural networks, in particular, convolutional neural networks. The paper presents a novel hardware-friendly detector of image polarity, enhanced with the ability of saliency detection. The approach stems from a hardware-oriented design process, which trades off prediction accuracy and computational resources. The eventual solution combines lightweight deep-learning architectures and post-training quantization. Experimental results on standard benchmarks confirmed that the design strategy can infer automatically the salient parts and the polarity of an image with high accuracy. Saliency-based solutions in the literature prove impractical due to their considerable computational costs; the paper shows that the novel design strategy can deploy and perform successfully on a variety of commercial smartphones, yielding real-time performances.


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