Huazhong University of Science and Technology

State Grid Hubei Electric Power Research Institute

State Grid Corporation of China

Jin Wang

Nong Sang

Changxin Gao

Luxin Yan

Shiwei Zhang

Yuanjie Shao

Lerenhan Li

Juncai Peng

Chang Liu

Qian Tao

Liang Zhou

Xiao Yu

Li Tian

Yu Shen

Jie Wang

Hong Chen

Jiangpei Xu

Yongjun Xia

Feng Long

Yuehai Yu

Gang Hu

Yong Cai

Disclosed are a system and method for detecting a vulnerability of an Internet of Things in Power Systems (IOTIPS) protocol based on fuzz testing. The system includes: a protocol configuration module configured to configure a protocol to be detected and a data frame of the protocol to be detected; a sample generation module configured to: after loading the protocol and the data frame configured by the protocol configuration module, configure a mutation strategy based on the loaded protocol, and generate a test sample based on the configured mutation strategy; and an execution monitoring module configured to transfer the test sample generated by the sample generation module to a device to be detected for testing, perform link management and test execution, store a test result, and generate a detection report.

System and method for detecting vulnerability of internet of things in power systems (IOTIPS) protocol based on fuzz testing

A method for estimating a blur kernel size, the method including: (1) pre-processing a blurred image, to obtain an image, so that a size of the image satisfies an image input size of a multi-class convolutional neural network (CNN); (2) inputting the image into a multi-class CNN with completed training, to obtain a blur-kernel-size probability distribution vector; and (3) comparing each element in the blur-kernel-size probability distribution vector, so that an estimated blur kernel size of the blurred image is the blur kernel size corresponding to a largest element. The invention also provides a system for estimating a blur kernel size. The system includes an image pre-processing module, a training-set synthesizing module, a multi-class CNN module, and a blur kernel size estimation module.

Method and system for estimating blur kernel size

The invention discloses a method for correcting aero-optical thermal radiation noise, comprising steps of: pretreating a degraded image to obtain a multi-scale degraded image group, conducting iteration process of obtaining an optimal solution by using a last scale estimation result as an original value of next scale estimation according to the multi-scale degraded image group, thereby facilitating original-scale bias field estimation, and restoring the degraded image according to the original-scale bias field estimated value thereby obtaining an image after aero-optical thermal radiation noise correction. The invention also discloses a system for correcting aero-optical thermal radiation noise. The invention is capable of solving problems with conventional methods, comprising poor correction effect, high complexity, and incapability in correcting the thermal radiation noise at an image level, and applicable to restoration of an image with aero-optical thermal radiation noise.

Method and system for correcting aero-optical thermal radiation noise

A method for detecting a time synchronization ability of the real-time measuring device based on a time variable is provided. On a premise that the real-time measuring device correctly receives time service signals, the method aims at detecting time synchronization signal application ability of the real-time measuring device, and involves a purely resistive loop comprising a value transferring device and a time controllable switch. The method, via a time synchronization performance thereof, relatively completely reflects the time synchronization signal application ability of the device within a value transfer requirement. The method is a development upon power station time synchronization time service signals and transmission accuracy detection and an improvement of power station time synchronization detection procedures. The method facilitates improving real-time analysis and monitoring abilities of a power station and a power grid to a primary device and a primary system.

Method for detecting time synchronization ability of real-time measuring device based on time variable

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Hubei, China

Jin Wang