A5062621466- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Misinformation and Its Impacts
- 3D Surveying and Cultural Heritage
- Optical measurement and interference techniques
- Social Media and Politics
- Robotics and Sensor-Based Localization
- Advanced Wireless Network Optimization
- Evolutionary Game Theory and Cooperation
- Image and Object Detection Techniques
- Electric Motor Design and Analysis
- Magnetic Properties and Applications
- Topic Modeling
- Software Reliability and Analysis Research
- Sentiment Analysis and Opinion Mining
- Safety Systems Engineering in Autonomy
- Mental Health Research Topics
- Robotic Path Planning Algorithms
- Face recognition and analysis
- Technology and Security Systems
- Advanced Data and IoT Technologies
- Sensorless Control of Electric Motors
- Systems Engineering Methodologies and Applications
- Innovation Diffusion and Forecasting
- Information and Cyber Security
Anhui University of Finance and Economics
2016-2025
Xihua University
2014-2024
Tianjin Institute of Industrial Biotechnology
2024
Chinese Academy of Sciences
2017-2024
Nanyang Technological University
2024
Dalian Polytechnic University
2024
University of Electronic Science and Technology of China
2023
Advanced Digital Sciences Center
2017
Institute of Intelligent Machines
2017
Wuyi University
2016
A machine learning method designing flat broadband erbium-doped fiber amplifier (EDFA) + Raman hybrid was demonstrated. First, we trained a neural network (NN) using data consisting of pump parameters and gains arranged in descending, ascending, random order. This NN is utilized to calculate based on the target gain amplifier. Then, accuracy optimized through application fitting equations that establish relationship between adjustment power Raman's ratio EDFA/Raman The results show when...
Neural networks and fuzzy systems are two soft‐computing paradigms for system modelling. Adapting a neural or requires to solve optimization problems: structural parametric optimization. Structural is discrete problem which very hard using conventional techniques. Parametric can be solved techniques, but the solution may easily trapped at bad local optimum. Evolutionary computation general‐purpose stochastic global approach under universally accepted neo‐Darwinian paradigm, combination of...
In this letter, we develop a recurrence formula for the capacity of Nakagami-m fading channel with BPSK/QPSK modulations when state information is available at receiver. For each parameter m, simply constructed series representation fast-convergence rate can be obtained through formula. The expansion provides numerically efficient way to calculate both Rayleigh and channels. simulation results show that good alternative estimating Nakagami channel.
To avoid social and economic losses, governments need to control rumor propagation by releasing official rumor-refuting information (ORI) dispel the rumors. Therefore, understanding complex competition mechanism between ORI rumors is key successfully refuting This paper presents an in-depth analysis of function in suppressing quashing First, influencing factors were determined from which a model was constructed quenched mean-field method employed determine outbreak threshold. It found that...
With the evolution of social media technology, mode information exchange has transitioned from a singular text format to multifaceted blend text, images, audio, and video. This transformation given rise proliferation multimodal false information, sparking widespread concern across diverse sectors society. paper takes fact-checking perspective, offering comprehensive review pertinent research in field. It commences by introducing prevalent datasets used contemporary fact-checking....
In this paper, according to the similarity of chain reaction principle and characteristics information propagation on social network, we proposed a new word "information bomb". Based complex networks SIR model, dynamical evolution equations were setup. Then methods used evaluate four indexes bomb power given, including influence breadth, strength, peak time relaxation time. At last, was ascertained through these indexes. The process is simulated illustrate spreading results. parameters which...
This paper proposes a rumor spreading model that considers three main factors: the event importance, ambiguity, and publics critical sense, each of which are defined by decision makers using linguistic descriptions then transformed into triangular fuzzy numbers. To calculate resultant force these factors, transmission capacity new parameter category with variables determined. A is proposed has parameters rather than fixed in traditional models. As comprehensive factors affecting rumors from...
This paper investigates the sum capacity of a single-cell multi-user system under constraint that transmitted signal is adopted from M-ary two-dimensional constellation with equal probability for both uplink, i.e., multiple access channel (MAC), and downlink, broadcast (BC) scenarios. Based on successive interference cancellation (SIC) entropy power Gaussian approximation, it shown MAC BC can be approximated to bank parallel channels gains being modified by an extra attenuate factor equals...
This study extends the understanding of spiral silence theory by taking into account four factors, including topology networks, time factor information transmission, node degree individuals and freedom expression. Simulation experiments analyze silencers, public opinion in steady state relaxation small-world scale-free networks community-structured adjusting initial conditions. Results highlight that are easier to keep silent network, especially when individual with big minority starts...
Welding joints for offshore oil rigs present a complicated geometry and require multiple passes. This paper introduces complete collision-free offline path planning approach such joints. Collision detection is performed using A* search on three dimensional grid, where triangular mesh representations of the welding joint its fixture form objects. A workflow proposed process which involves two primary steps; multi-pass intermediate planning. The demonstrates results `brace-to-chord' joint,...
Social networking services are not limited to person-to-person communication, but extend a wider range involving person-to-thing communication and thing-to-thing communication. Therefore, it is also called big social services. In order motivate users of online networks share information communicate with each other frequently, we first analyzed the activity statuses in one famous networks, Weibo, then proposed lurker game model for accumulating data. addition features public goods game, this...
Analyzing the process and results of dispelling rumors is a prerequisite for designing an effective anti-rumor strategy. Current research on this subject focuses simulation experiments, short empirical study. By using False Information Publicity Results Sina Weibo as data source research, article compares typical features rumor accounts. Furthermore, taking COVID-19 target topic, distributions reported time, frequency, platform penalty levels, diffusion parameters related to are given, some...
In this paper, we introduce the concept of opinion entropy based on Shannon entropy, which is used to describe uncertainty opinions. With further present a public formation model, and simulate process under various controlled conditions. Simulation results Holme–Kim network show that will reduce zero, all individuals hold agreeing with topic, only by adjusting cons' opinions high control intensity. Controlling big degree can bring down in short time. Besides, extremists do not easily change...
Topical influencers are experts on a specific topic, who always play an important role in the opinion dissemination. From perspective of influence polarity, topical can be classified into leaders gain great deal support, trolls widely condemned, and controversial figures trigger debate. In this paper, discriminating social networks addressed. First, trained BiLSTM-CRF model is constructed to extract emotional elements, and, then, proposed matching transforming algorithms leveraged obtain...
The dynamics evolution of the minority opinion in public debates is studied using a convincing power (CP) model with neutrality. In given group, an agent definite standpoint (yes or no) can be persuaded to neutral agent, if its capacity persuasion lower than average CP opponents. Besides that will change state and follow more persuasive opinion. Starting from two opposite opinions different rates, repeated local discussions are found drive reversal. It reveals addition initial minority,...