Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

Session: Intelligent Computing and Image Processing

9 articles
Proceedings Article

Large Universe Ciphertext-Policy Attribute-Based Encryption with Efficient Revocation

Lei Sun, Shuaili Wang, Zuohui Li, Guangbo Wang
In this paper, we propose a large universe ciphertext-policy attribute based encryption (ABE) scheme with efficient revocation. To achieve the revocation, we divide the master key into two parts: delegation key and secret key, which are sent to the cloud provider and user separately. Note that, our scheme...
Proceedings Article

RPL: A Robot Programming Language Based on Reactive Agent

Xinyang Wang, Jian Zhang
According to the requirements for robot programmings language, agent oriented programming model-RECA and programming language-RPL based on reactive agent were proposed. It is defined that the dynamic mapping relations from environmental inputs to behavioral outputs. RPL was designed to meet the needs...
Proceedings Article

Target Tracking Algorithm Based on Sparse Representation of Cooperative Template

Qisen Lin, Ming Li, Xiaoxu Li
Aiming at the problem that the matching error between the target template and the candidate template. In this paper, a new target tracking algorithm based on sparse representation of cooperative template is proposed. When constructing the target template, the global and local templates were used to set...
Proceedings Article

Chaotic Image Encryption Schemes: A Review

Chunhu Li, Guangchun Luo, Ke Qin, Chunbao Li
Image encryption has been a popular research field in recent decades. Chaotic encryption is one of the best alternative ways to ensure security. Many image encryption schemes using chaotic maps have been proposed, because of its extreme sensitivity to initial conditions, unpredictability and random like...
Proceedings Article

An Improved Elbows Detection Algorithm for Underwater Blurred Images

Yihui Liu, Lei Wan, Mingwei Sheng, Tao Liu, Yueming Li
In order to reduce the influence of noise pollution, shadow, biofouling and disruptors on elbows detection failure rate, an underwater pipeline detection algorithm was proposed. To improve the detection accuracy of underwater pipeline, two aspects of research were presented. One is the improvement of...
Proceedings Article

The Performance of Presented Subpixel Corner Detection Approach in Context of Camera Stereo Pair Displacement Determination

Lukáš Šroba, Ján Grman, Rudolf Ravas
This paper deals with the comparison of the presented approach to the another subpixel corner detectors. The our proposed and considered detection method uses the regular cornerness map obtained from the usual corner detectors as initial step. The main idea is to use the cornerness values from a neighboring...
Proceedings Article

Face Detection Algorithm Based on Convolutional Pooling Deep Belief Network

Dandan Wang, Ming Li, Xiaoxu Li
When using a single deep model to solve the problem of face detection, it is easy to have the problem of high false detection rate and low learning efficiency, the mixed model algorithm based on deep learning was proposed to solve these problems of face detection, which is called the CPDBN (Convolutional...
Proceedings Article

Adaptive Power Mode Tuning for QoS Guarantee in Cyber-Physical Systems

Wei Zhang, Lihui Pan, Zhaohui Yuan
The Quality of Service (QoS) of Cyber-physical systems (CPS) is inevitably undermined by various physical uncertainties which include the stochastic environment noise and dynamics of the physical phenomenon. Both of those uncertainties might lead to task overload and the power overconsumption as task...
Proceedings Article

Research on GPS/INS Integrated Navigation Algorithm

Ming Liu
The GPS/INS integrated navigation system has a strong complementarities among the subsystems. It has a very broad application prospects and an important role. In this paper, the development of the satellite navigation system and the inertial navigation system is introduced, and the current situation...