A5100741688- Metaheuristic Optimization Algorithms Research
- Higher Education and Teaching Methods
- Natural Language Processing Techniques
- Caching and Content Delivery
- Neural Networks and Applications
- Chaos-based Image/Signal Encryption
- Topic Modeling
- Modular Robots and Swarm Intelligence
- Internet Traffic Analysis and Secure E-voting
- Semantic Web and Ontologies
- Algebraic structures and combinatorial models
- Chaos control and synchronization
- Education and Work Dynamics
- Advanced Topics in Algebra
- Speech and dialogue systems
- Time Series Analysis and Forecasting
- stochastic dynamics and bifurcation
- Anomaly Detection Techniques and Applications
- Peer-to-Peer Network Technologies
- Advanced Wireless Communication Techniques
- Wireless Communication Networks Research
- Evolutionary Algorithms and Applications
- Nonlinear Dynamics and Pattern Formation
- Mineral Processing and Grinding
- Advanced Wireless Network Optimization
State Key Laboratory of Industrial Control Technology
2024
Northwest Normal University
2023-2024
Yangzhou University
2024
Shandong University
2023
Shanghai Jiao Tong University
2023
Shanghai Institute of Pollution Control and Ecological Security
2022
State Key Laboratory of Pollution Control and Resource Reuse
2022
Tongji University
2022
Beijing University of Posts and Telecommunications
2007-2021
Zhengzhou University of Light Industry
2018-2020
The two-component system (TCS) PhoPQ has been demonstrated to be crucial for the formation of resistance quinolones and cephalosporins in Salmonella Enteritidis (S. Enteritidis). However, mechanism underlying PhoPQ-mediated antibiotic remains poorly understood. Here, it was shown that PhoP transcriptionally regulated an assortment genes associated with envelope homeostasis, osmotic stress response, redox balance confer S. Enteritidis. Specifically, cells lacking regulator, under nalidixic...
Intelligent video surveillance in modern city is becoming more and popular, higher quality of images required automatic analysis recognition. In this paper, we develop a kind haze-free method for outdoor foggy image with low contrast. The based on the multi-scale guided filtering combined Retinex algorithm. Compared traditional series Retinex, it may better following aspects: process details enhancement, color fidelity overcome noise etc. experimental results show advantages our algorithm...
Abstract Since memristors can be used to describe electromagnetic induction effects, this paper proposes a novel 4D HindMarsh-Rose (HR) neuron model based on two flux-controlled show complex dynamics of neuronal electrical activity. It has no equilibrium point, revealing hidden dynamical behaviors. The the system are illustrated by phase portraits, time sequences, bifurcation diagrams, and Lyapunov exponents spectra. presented HR produce coexisting multiple firing patterns, for instance,...
A recommendation system plays an important role in information overload case by recommending personalized services to improve user experience. In this paper, a novel movie based on deep reinforcement learning (DRL) framework is proposed. proposed model, the state preprocessed overcome problems of data sparsity and cold start. Specially, user's interest change captured using cross entropy used prioritize experience replay memory. The experiments verify that model can speed up network update accuracy.
Abstract Introducing memristor into the chaotic system can enrich dynamic behaviors of system. We propose a symbolic function model and introduce it to construct fractional-order 5D Through analysis equilibrium point, Lyapunov exponents, phase diagram bifurcation diagram, is found that has abundant behaviors, for example, change point type with parameters, transient chaos, offset-boosting special kind extreme multistability. And attractor state shape will appear rich changes. Then...
Accurate prediction of molten iron quality (MIQ) is significant for monitoring the production status in blast furnace (BF) ironmaking process. While most previous data-driven models focus on nonlinearity and dynamics process variables, few works take problem multicomponent mixing poor correlation between variables into account. To tackle these issues, we propose a novel one-sided relational autoencoder with seasonal-trend decomposition (OSRAE-ST) method to predict MIQ. Initially, are...
Abstract Long short Term Memory(LSTM) has been widely used in sequencial problems. However, for the time series prediction problems, its complex structure limits running speed and performance. In order to solve this problem, paper simplified standard LSTM model by reducing number of gates parameters involved computation. Experiments on univariate data set multivariate show that proposed not only better accuracy, but also higher speed.
In this paper, two methods of generating minimally persistent circle formation are presented. The proposed adopt a leader-follower strategy and all followers firstly motivated to move into the leader's interaction range. Based on information about relative angle distance, numbering schemes generate formation. Distributed control laws also designed maintain desired distance between agents. distinctive features as follows. First, only 2n − 3 unilateral communication links for n agents needed...
Using blockchain technology to build a trusted transaction foundation has become hot topic of current research and practice. The double-spending phenomenon refers the bifurcation structure. In process transactions, fork caused by malicious attacks will destroy correctness, integrity, consistency entire ledger, causes serious economic losses users. Therefore, eliminating is an important issue ensure security blockchain. method defending against in transactions mainly revolves around Bitcoin...
Compressed sensing (CS) has been applicably used in cognitive radio (CR) to sense wide-band spectrum, solving the rate restriction problem. For a CR network which includes multiple nodes, it's considered that received signals is high correlated. So this paper, we focus on efficient compressed spectrum reconstructions network, proposing probabilistic model called Cooperative Bayesian Spectrum Sensing (C-BCSS) algorithm. In algorithm, node samples locally and common sparse signal developed...
Language documentation is inherently a time-intensive process; transcription, glossing, and corpus management consume significant portion of documentary linguists' work. Advances in natural language processing can help to accelerate this work, using the past decisions as training material, but questions remain about how prioritize human involvement. In extended abstract, we describe beginnings new project that will attempt ease process through use (NLP) technology. It based on (1) methods...
Language documentation is inherently a time-intensive process; transcription, glossing, and corpus management consume significant portion of documentary linguists’ work. Advances in natural language processing can help to accelerate this work, using the past decisions as training material, but questions remain about how prioritize human involvement. In extended abstract, we describe beginnings new project that will attempt ease process through use (NLP) technology. It based on (1) methods...