Search Results for author: Fangfang Zhang

Found 7 papers, 0 papers with code

Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams

no code implementations2 Jun 2023 Lei Kou, Jinbo Wu, Fangfang Zhang, Peng Ji, Wende Ke, Junhe Wan, Hailin Liu, Yang Li, Quande Yuan

In this paper, we propose a new encryption algorithm for offshore wind power based on two-dimensional lagged complex logistic mapping (2D-LCLM) and Zhou Yi Eight Trigrams.

Quantitative Method for Security Situation of the Power Information Network Based on the Evolutionary Neural Network

no code implementations26 Nov 2022 Quande Yuan, Yuzhen Pi, Lei Kou, Fangfang Zhang, Bo Ye

This study proposes a method for quantifying security situation of the power information network based on the evolutionary neural network.

Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms

no code implementations1 Nov 2022 Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke

In recent years, with the development of wind energy, the number and scale of wind farms are developing rapidly.

Efficient All-reduce for Distributed DNN Training in Optical Interconnect System

no code implementations22 Jul 2022 Fei Dai, Yawen Chen, Zhiyi Huang, Haibo Zhang, Fangfang Zhang

Our results also show that WRHT can reduce the communication time of all-reduce operation by 92. 42% and 91. 31% compared to two existing all-reduce algorithms running in the electrical interconnect system.

Data Encryption based on 9D Complex Chaotic System with Quaternion for Smart Grid

no code implementations3 Jun 2022 Fangfang Zhang, Zhe Huang, Lei Kou, Yang Li, Maoyong Cao, Fengying Ma

In this paper, a new 9D complex chaotic system with quaternion is proposed for the encryption of smart grid data.

Management

Multi-source data processing and fusion method for power distribution internet of things based on edge intelligence

no code implementations30 Mar 2022 Quande Yuan, Yuzhen Pi, Lei Kou, Fangfang Zhang, Yang Li, Zhenming Zhang

In this paper, an edge intelligence-based PD-IoT multi-source data processing and fusion method is proposed to solve the problems of confusing storage and insufficient fusion computing performance of multi-source heterogeneous distribution data.

On the Abstractiveness of Neural Document Summarization

no code implementations EMNLP 2018 Fangfang Zhang, Jin-Ge Yao, Rui Yan

Many modern neural document summarization systems based on encoder-decoder networks are designed to produce abstractive summaries.

Abstractive Text Summarization Document Summarization

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