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modeling of Evanescent Dynamic Light Scattering on Colloidal Particle

Modeling of Evanescent Dynamic Light Scattering on Colloidal...

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2021 international conference on Electrical Engineering and Photonics, EExPolytech 2021

作者： Savchenko, Ekaterina A. Scherbak, Sergey A. Savchenko, Elena Yu. Polytechnic University Peter the Great St. Petersburg Saint Petersburg Russia Peter the Great St. Petersburg Polytechnic University Alferov University Higher School of Economics Saint Petersburg Russia Computer Information Systems International University of Kyrgyzstan Bishkek Kyrgyzstan

ISBN: (纸本)9781665449724

Evanescent wave dynamic light scattering is a promising method for measurement of diffusion coefficient, size, electrophoretic mobility, zeta potential of colloidal particles. In this study, we performed a numerical analysis to show the possibilities and limitations of analytical models for predicting the capabilities of determination of these parameters. We used finite element method simulations in COMSOL Multiphysics software to analyze scattering by a particle near an interface where an incident plane wave undergoes total internal reflection. We present the first simulation results that demonstrate feasibility and limitations of particle characterization by evanescent field scattering. © 2021 IEEE.

关键词： Refractive index

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computer Attacks simulation in IIoT Systems

Computer Attacks Simulation in IIoT Systems

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Siberian conference on Control and Communications (SIBCON)

作者： Kirill Tsimbalov Dmitry Bragin Vitalii Moseichuk Artur Mitsel Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (纸本)9781665476294

Modern IIoT systems include a huge number of sensors and actuators designed to control the processes of technological production. Trusted interaction, which involves the guaranteed transmission of data within such systems, is a key aspect in the operation of such systems. However, the currently available industrial protocols contain a certain number of vulnerabilities, which can destabilize the operations of IIoT systems. That’swhy, when designing such systems, additional attention should be paid to the protection of transmitted data. The current article presents the modeling of computer attacks on the IIoT system, using the industrial Modbus TCP protocol. This protocol is widely used in the design of IIoT systems, also has a number of vulnerabilities

关键词： Protocols Computational modeling Process control Production Communication channels Sensor systems Data models

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Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers

Radio Map Estimation via Latent-Domain Plug-and-Play Denoise...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Le Xu Lei Cheng Junting Chen Wenqiang Pu Xiao Fu School of Electrical Engineering and Computer Science Oregon State University Corvallis USA College of Information Science and Electronic Engineering Zhejiang University Hangzhou China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Shenzhen Research Institute of Big Data Shenzhen China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Radio map estimation (RME) aims to construct a map of radio strength across multiple domains (e.g., space and frequency) from limited measurements. Data-driven deep neural model-based RME showed promising performance, yet requiring excessive training resources. This work puts forth an RME approach that can effectively incorporate learned information without training over radio map data. Our idea is to employ the plug-and-play (PnP) denoising scheme from computational imaging. The PnP framework allows incorporating denoisers trained over natural images to handle other types of data, e.g., ocean sound fields and medical images, due to the similarity of their denoising processes. Conventional PnP methods mostly use the learned denoisers in the data domain. Instead, the proposed approach applies PnP in the latent domain through a tailored algorithm design and spatial-spectral factorization of radio maps. This way, the proposed RME method exhibits enhanced scalability and noise robustness. simulations are used to illustrate the effectiveness of the proposed approach.

关键词： Training Computational modeling Scalability Oceans Signal processing algorithms Estimation Sea measurements Numerical simulation Robustness Speech processing

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A Monte Carlo simulation Study on: Deposition, Diffusion, and Aggregation

A Monte Carlo Simulation Study on: Deposition, Diffusion, an...

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2020 international conference on modeling, Big Data Analytics and simulation, MBDAS 2020

作者： Chen, Lei Tan, Nongdie Ye, Xianglin Wu, Wandi Xiong, Hailing College of Computer and Information Science Southwest University Chongqing China Business College Southwest University Chongqing China Laboratory of Database and Artificial Intelligence Southwest University Chongqing China

In this paper we present a Monte Carlo simulation program to implement a single model: deposition, diffusion, and aggregation (DDA). By using the simulation program, we show in the following that the DDA model generates a wide variety of fractal structures characteristic of different models such as diffusion-limited aggregation (DLA) or cluster-cluster aggregation (CCA), but such DLA and CCA models do not incorporate the possibility of cluster-mass dependent deposition. Starting from those kernels, aggregation laws to describe the interaction between free and deposited clusters were proposed and a simple cluster-mass dependent deposition law was employed. The simulation results are then discussed in the frame of the relative strength of parameters. © Published under licence by IOP Publishing Ltd.

关键词： Deposition

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Minimizing the Viruses Propagation in Interconnected Complex Networks

Minimizing the Viruses Propagation in Interconnected Complex...

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Sciences and Techniques of Automatic Control and computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Siham Lamzabi Basma A.Wanis Madi Marwa Benyoussef Kaoutar El Handri Layla Wakrim Hamid Ez-Zahraouy Abdelilah Benyoussef Laboratory SMARTILAB Moroccan School Engineering Sciences EMSI Rabat Higher Institute of Engineering and Technologies Bengazi Laboratory of Condensed Matter and Interdisciplinary Sciences (LaMCScI). Labialized Research Unite CNRST URL-17 Faculty of Sciences Mohammed V University in Rabat Morocco Faculty of Medicine and Pharmacy University Mohammed V in Rabat Morocco Higher Institute of Engineering and Business (ISGA) Marrakech Morocco

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

This paper investigates the dynamic behavior of the spread of viruses between two interconnected subnets, R1 and R2, for two network models. For that, a new model of virus spread, based on the Susceptible-Infected-Recovered (SIR) model and the minimal traffic model for a routing protocol, has been proposed. This model allows studying the evolution of the propagation of viruses from an infected subnet to an uninfected one. The simulation shows that the behavior of virus propagation in the system depends strongly on the network model. For model “A,” where all connections follow the preferential attachment, the infection rate in the system is high. For model “B,” where the connections are well distributed, and the distribution degree follows a power law, the infection rate is low. It is found that, even for the low values of (recovered rate), the proportion of the infected packets for model “A” is much higher than the ones observed in model “B,” almost 50% more for different values of (infection rate). Furthermore, it is observed that the proportion of infected packets does not begin to increase until a particular value of for all values of,, depending on the model of the Network. From a particular value of this point of transition no longer appears; the infection rate remains zero for all values of The spread of the virus is also affected by the traffic regime. For R 2 , it is noticed that the proportion of susceptible is not zero at the stationary state, while in the congested phase, it is noticed that it becomes zero after a few iterations. For R 1 in the congested phase, the proportion of infected will decrease with time according to the value of In contrast, the infected and recovered packets remain in competition in the free phase.

关键词： computer viruses conferences Computational modeling Stationary state Complex networks Routing protocols Topology

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Waste Generation Rate Prediction by Time-series Data Analysis

Waste Generation Rate Prediction by Time-series Data Analysi...

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Annual Information Technology, Electromechanical Engineering and Microelectronics conference (IEMECON)

作者： Mitra Tithi Dey Punyasha Chatterjee Dept. of Computer Science Netaji Nagar Day College Kolkata India School of Mobile Computing and Communication Jadavpur University India

ISBN: (数字)9798350387315

ISBN: (纸本)9798350387322

To effectively plan and manage waste disposal resources, improve collection schedules, and reduce environmental consequences, governments need to have accurate trash prediction rates. Therefore, waste generation prediction is an important concern for a sustainable city and a healthy life. Existing waste generation rate prediction faces challenges like limited dataset, reliance on synthetic data, and negligence of seasonality and holiday effects. Time series analysis for predicting waste generation rate can be effective for this purpose as it considers temporal patterns, including trends and seasonality. In this paper, a comparative assessment of three time series models is conducted on a real dataset aiming to provide a forecast of municipal solid waste generation rate. The models are Long Short Term Memory (LSTM), Prophet and Seasonal Autoregressive Integrated Moving Average with Exogenous Factors (SARIMAX). simulation results show that the Prophet model exhibits promising results in terms of various error metrics like Mean Absolute Error(MAE), Mean Absolute Percentage Error(MAPE), Mean Squared Error(MSE), Root Mean Squared Error(RMSE) and coefficient of determination (R 2 ) in comparison to LSTM or SARIMAX. This work can give useful insight for decision-makers to get the production rate of solid waste for efficient garbage management.

关键词： Measurement Waste materials Analytical models Accuracy Biological system modeling Computational modeling Time series analysis Predictive models Data models Long short term memory

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Numerical simulation Study on Failure of Graphite Heat Exchanger with Orifice Block 7

Numerical Simulation Study on Failure of Graphite Heat Excha...

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2020 7th international conference on computer-Aided Design, Manufacturing, modeling and simulation, CDMMS 2020

作者： Dong, Liang Chen, Yi Tong, Zhuanggen Liu, Chongyang Yang, Zhenguo Shanghai Institute of Special Equipment and Inspection Shanghai China School of Material Fudan University Shanghai China

Phenolic impregnated graphite is a new kind of material with higher corrosion resistance and thermal conductivity. In the chemical industry, it is often used to make containers and pipes containing strong acid and alkali medium. It is the characteristic of phenolic resin impregnated graphite heat exchanger that the corrosion resistance and heat transfer efficiency of the heat exchanger are greatly improved. In this paper, a failure case of graphite heat exchanger in a chemical enterprise in Shanghai was analyzed by numerical simulation. According to the actual working conditions, the temperature field and flow field in the porous graphite heat exchanger were numerically simulated. The numerical simulation results of temperature field showed that the graphite block would be subject to thermal shock when the equipment was started and shut down, resulting in the increase of temperature difference of graphite block In addition, the pre tightening force of the flange of graphite heat exchanger was simulated by numerical simulation, and it was found that the position of stress concentration coincided with the crack position of actual failure, and the improvement suggestions were put forward for the structural design of graphite block. © Published under licence by IOP Publishing Ltd.

关键词： Heat exchangers

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simulation of flexible protective shells for agricultural robotic devices

Simulation of flexible protective shells for agricultural ro...

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2021 IEEE international conference on Artificial Intelligence and computer Applications, ICAICA 2021

作者： Byrdina, Marina V. Mitsik, Mikhail F. Bekmurzaev, Lema A. Belysheva, Victoria S. of Dstu Shakhty Russia of Dstu Mathematics and Applied Informatics Shakhty Russia Chechen State Pedagogical University General Technical Disciplines Grozny Russia

ISBN: (纸本)9781665418676

The paper proposes modeling of a volumetric multilayer shell structure that covers the surface of a agriculture robotic device. The shell in the first version can take shape due to its own gravity and the elasticity of its materials for bending, provided its position is fixed along the upper boundary. Below the boundary of the attachment, the shell is free. A variational problem is posed to determine the shape of such a shell. In the second version, the shell structure takes shape due to the air injected into the shell. Design of a shell that mimics the shape of a human body is proposed. To describe the shape of the shell, analytical dependencies were obtained and a computer program was developed for its visualization. Thin materials with conventional bending stiffness are considered as assembly structural elements: composite materials, fabrics, flexible boards, conductive threads and other built-in flexible electronic devices. A description of the volumetric shape of the shell structure and its visualization may be necessary for solving various problems both in agriculture and for the design of shell structures in medicine, construction, in the automotive, manufacturing, food and other industries. © 2021 IEEE.

关键词： Shells (structures)

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17th international conference on Software Technologies, ICSOFT 2022

17th International Conference on Software Technologies, ICSO...

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17th international conference on Software Technologies, ICSOFT 2022

ISBN: (纸本)9783031372308

The proceedings contain 10 papers. The special focus in this conference is on Software Technologies. The topics include: A Deep Learning Architecture Based on Advanced Textual Language Models for Detecting Disease Through Its Symptoms Associated with a Reinforcement Learning Algorithm;microservices Deployment on a Multi-platform Ecosystem: A Contract-Based Approach;a Decision Model Based on an Optimized Choquet Integral: Multifactor Prediction and Intelligent Agriculture Application;a New simulation Tool for Sensor Networks Based on an Energy-Efficient and Fault-Tolerant Methodology;adapting Cyber-Risk Assessment for the Planning of Cyber-Physical Smart Grids Based on Industrial Needs;three Forms of Mutant Subsumption: Basic, Strict and Broad;on the Efficiency of Building Large Collections of Software: modeling, Algorithms, and Experimental Results;An AST-Based Code Change Representation and Its Performance in Just-in-Time Vulnerability Prediction.

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Performance Analysis of Cloud-Based Applications with Cloud Analyst

Performance Analysis of Cloud-Based Applications with Cloud ...

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Electronics and Sustainable Communication Systems (ICESC), 2020 international conference on

作者： Navya Singh Harshil Kundety Mohana HV Ravish Aradhya Electronics & Communication Engineering RV College of Engineering® Bengaluru India Computer Science and Engineering (Cyber Security) RV College of Engineering® Bengaluru India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

Cloud computing changed the way data is accessed and stored, as well as providing the ways of implementing applications through internet. It aims at identifying fundamental units like IaaS, PaaS and their consequences. Nevertheless, new opportunities also draw essential risks, the main of which is associated with cloud security. To overcome these challenges, the present research focuses on the six fundamental components of cloud security and cannot tackle the issues. Cloud Sim is a framework developed for cloud computing environments and the development entails modeling and simulation of behaviors under certain conditions with respect to performance, scalability and resource utilization. Results indicate that geographic distance presents the extent by which the service quality lowers with larger distance between the user base and the data center or server. The performance metrics shows the average response time of 301.85 ms for User Base 1 located in Europe, and 50. 2 ms for User Base 2 in North America, and 200. 80ms for User Base 3 located in Australia shows that geographic location plays a vital role in ensuring that the latency is as less as possible. Furthermore, in the current study, the load balancing is done across the multiple data centers, and this is controlled by different service brokerage policies thus improving the quality of the services offered. These strategies ensure optimization of the workloads in a way that they assign virtual machines optimally in every data center. Secure also continues to be emphasized, and talks about its solutions and strategies, as well as best reference models from the world market, including NIST, ISO, and CIS

关键词： Measurement Data centers Analytical models Cloud computing security Scalability Computational modeling Resource management Time factors Servers Testing

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