Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhenwei Geng"'
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2023 (2023)
This work aims to solve the specific problem in the Power Internet of Things (PIoT). PIoT is vulnerable to monitoring, tampering, forgery, and other attacks during frequent data interaction under the background of big data, leading to a severe threat
Externí odkaz:
https://doaj.org/article/3573e397d59745dcb7ac55885ead79f1
Autor:
Hui Chen, Shichen Wang, Anrui Li, Zheng Yang, Kan Pan, Yongjie Nie, Zhenwei Geng, Wentao Liu, Junjie Wen, Zuyuan Huang
Publikováno v:
E3S Web of Conferences, Vol 293, p 03031 (2021)
This paper intends to take power system planning as the main module, while considering the requirements and constraints of natural gas network and transportation network construction and use the energy hub model to analyse the energy transmission and
Publikováno v:
Journal of Alloys and Compounds. 686:145-152
The effects of Gd addition on microstructure, mechanical properties and corrosion behavior of degradable Mg-17Al-7Cu-3Zn- x Gd ( x = 0, 1, 2, 3. weight fraction) alloys were investigated using optical microscope, scanning electronic microscope equipp
Publikováno v:
2016 IEEE 13th International Conference on Signal Processing (ICSP).
On the basis of the original SIFT algorithm, this paper presents an improved point matching algorithm for brain CT image, which combines the SIFT and gray feature. Firstly, the SIFT algorithm is used to extract the key points of the images, and for e
Publikováno v:
2016 2nd IEEE International Conference on Computer and Communications (ICCC).
In this paper, we propose a novel prediction approach for predicting the users' context information by analyzing the social pictures shared by individuals on OSNs. To achieve this goal, we first crawl a large collection of photos and user profiles. N
Publikováno v:
SPIE Proceedings.
An approach for detecting ROIs(regions of interest) is proposed. It can locate airport and seashore regions rapidly in a large optical remote sensing image by adopting feature space analysis method. The image is firstly tiled and read into memory blo