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Circuit-Based Numerical Solutions of Transmission Lines: application to Korteweg-de Vries Equations 4th

Circuit-Based Numerical Solutions of Transmission Lines: Ap...

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

作者： Alì, Giuseppe Bertacchini, Francesca Bilotta, Eleonora Demarco, Francesco Pantano, Pietro Vena, Stefano Department of Physics University of Calabria Rende Italy Department of Mechanical Energy and Management Engineering University of Calabria Rende Italy Altrama Rende Italy

ISBN: (纸本)9783031812460

Transmission lines, devices employed for the transmission of electrical signals, can be used for the approximation of non-linear partial differential equations (PDEs) also in the nonlinear case. To this end, transmission lines are used to spatially discretize PDEs allowing the problem to be solved numerically even for intricate boundary conditions - e.g. at intersection of many wires in the system. Using transmission lines to solve the Korteweg-de Vries Equation (KdV) allows for efficient and accurate numerical solutions, as it provides a method to investigate the propagation of wave-like information in nonlinear and dispersive media with multiple dimensions. In the present paper a software developed in C# is presented, the latter employs discretization by transmission lines and the Runge-Kutta 4–5 integration algorithm to numerically solve the KdV equation in the one-dimensional case. The implemented program, named "WireExplorer," is able to simulate the propagation of solitonic pulses on different types of circuits composed of one or more wires, even in the case of intersections. Such conditions are not canonically solvable by resolution of the KdV equations, while approximate numerical resolution allowed the evaluation of these intricate cases. In particular, the obtained results showed the subdivision of the wave into smaller components, at intersections between wires, which propagate in different directions showing also the formation of dispersive tails propagating in the direction opposite to that of the main wave. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Solitons

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Real-Time Gesture Analysis for Evaluating Student Performance and Engagement 4

Real-Time Gesture Analysis for Evaluating Student Performanc...

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Waghmare, Himanshu Sharma, Mansi Suryawanshi, Falguni Department of Computer Science and Design Wardha India

ISBN: (纸本)9798331523923

This paper is an extension of the practical application of computer vision and machine learning in monitoring student performance with the help of nonverbal communication, body language, and facial expressions analysis. The real-time visual input is processed within the system which identifies various postures and gestures by integrating Python packages such as OpenCV, MediaPipe, NumPy, pandas, and scikit-learn. MediaPipe's holistic framework detects 3D landmarks that dynamically capture the body and facial expressions of students. These are then paired with machine learning models to predict behavior in terms of student engagement, attention levels, and participation. The traditional methods of classroom observation rely more on subjective interpretations, which have led to many inconsistencies. The project eliminates the limitations by automatically analyzing nonverbal cues, thus allowing educators to make objective observations about students' behavior. The data gathered is systematically classified into predefined categories by using the Ridge Classifier algorithm for high accuracy and interpretability. The study provides the possibility that such a system can help teachers trace learning issues and improve teaching techniques. It, however, displays possible applications besides education, which include criminal investigation, cooperative assessment of tasks, and remote observation in virtual areas. This advancement in technology increases the interface between AI and education. It shows an ability to affect the traditional methodologies of assessment used in education. © 2025 IEEE.

关键词： Students

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Modelling Ciphers with Overdefined systems of Quadratic Equations: application to Friday, Vision, RAIN and Biscuit 30th

Modelling Ciphers with Overdefined Systems of Quadratic Equa...

引用

30th international conference on the Theory and application of Cryptology and Information Security

作者： Liu, Fukang Mahzoun, Mohammad Meier, Willi Inst Sci Tokyo Tokyo Japan Eindhoven Univ Technol Eindhoven Netherlands FHNW Windisch Switzerland

ISBN: (纸本)9789819609406;9789819609413

Overdefined polynomial systems have the potential to lead to reduced complexity in solving procedures. In this work, we study how to overdefine the system of equations to describe the arithmetic oriented (AO) ciphers Friday, Vision, and RAIN, as well as a special system of quadratic equations over F(2)l used in the post-quantum signature scheme Biscuit. Our method is inspired by Courtois-Pieprzyk's and Murphy-Robshaw's methods to model AES with overdefined systems of quadratic equations over F-2 and F(2)8, respectively. However, our method is more refined and much simplified compared with Murphy-Robshaw's method, since it can take full advantage of the low-degree F-2-linearized affine polynomials used in Friday and Vision, and the overdefined system of equations over F(2)l can be described in a clean way with our method. For RAIN, we instead consider quadratic Boolean equations rather than equations over large finite fields F(2)l. Specifically, we demonstrate that the special structure of RAIN allows us to set up much more linearly independent quadratic Boolean equations than those obtained only with Courtois-Pieprzyk's method. Moreover, we further demonstrate that the underlying key-recovery problem in Biscuit (NIST PQC Round 1 Additional Signatures) can also be described by solving a much overdefined system of quadratic equations over F(2)l. On the downside, the constructed systems of quadratic equations for these ciphers cannot be viewed as semi-regular, which makes it challenging to upper bound the complexity of the Grobner basis attack. However, such a new modelling method can significantly improve the lower bound of the complexity of the Grobner basis attacks on these ciphers, i.e., we view the complexity of solving a random system of quadratic equations of the same scale as the lower bound. How to better estimate the upper and lower bounds of the Grobner basis attacks on these ciphers based on our modelling method is left as an open problem.

关键词： Friday Vision RAIN Biscuit overdefined system algebraic attack Grobner basis

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Research on the application of Multi-Channel Display Technology in Virtual Scene Image Generation 5

Research on the Application of Multi-Channel Display Technol...

引用

5th IEEE international conference on Power, Electronics and computer applications, ICPECA 2025

作者： Liu, Yuanlin Wang, Lingling Haikou University of Economics Haikou571127 China

ISBN: (纸本)9798331533694

This study proposes an innovative algorithm based on DCNN and multi-channel image fusion, aiming to improve the quality and efficiency of virtual scene image generation. The algorithm extracts depth information and texture features in virtual scenes through DCNN, and combines multi-channel image fusion technology to optimize and fuse the information of different image channels (such as color, depth, normal, etc.), thereby significantly improving the image rendering effect. Through adaptive weight adjustment and image fusion strategy, the image detail performance is optimized, especially in scenes with complex lighting and rich textures, the rendering quality is significantly improved. Experimental results show that the image generation system based on this algorithm improves image quality by 15%, rendering speed by 25%, and computing resource consumption by 20%. When processing highly complex virtual scenes, the system can achieve real-time rendering and meet the performance requirements of VR and AR applications. This study provides a new and efficient solution for image generation in virtual reality and augmented reality, and demonstrates the great potential of combining multi-channel display technology with deep learning in improving rendering effects. © 2025 IEEE.

关键词： Virtual environments

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application and Optimization Study of ARIMA Model in Electricity Prosperity Index Forecasting 24

Application and Optimization Study of ARIMA Model in Electri...

引用

5th international conference on computer Science and Management Technology, ICCSMT 2024

作者： Chen, Peiguang Li, Boqiang Peng, Zepu Wang, Yong Chu, Yunfei Gao, Hongyao Dong, Jizhe Economic and Technology Research Institute State Grid Jilin Electric Power Co. Ltd. Jilin Changchun China North China Electric Power University Beijing China Changchun University of Technology Jilin Changchun China

ISBN: (纸本)9798400709999

With the close connection between economic growth and electricity demand, how to predict the economic development trend through electricity data has become a key issue in power system planning. Therefore, this study proposes the "Electricity Prosperity Index" (EPI), which aims to quantify the correlation between electricity data and economic development, and to provide a forward-looking economic forecasting index. Based on this, this study applies and optimizes the ARIMA model to predict the power prosperity index. Firstly, the power prosperity index is constructed, and the data source, feature extraction and processing methods are systematically elaborated;then, the precision and stability of its prediction of economic development trend are improved by the parameter optimization and model structure adjustment of the ARIMA model. The experimental results show that the optimized ARIMA model can accurately predict the power prosperity index, better reflect the future economic development trend, and provide a scientific basis for the forward-looking planning of the power system. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Prediction models

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Intelligent Anomaly Detection for Context-Oriented Data Brokerage systems 10

Intelligent Anomaly Detection for Context-Oriented Data Brok...

引用

10th international conference on Internet of Things, Big Data and Security, IoTBDS 2025

作者： Al-Wani, Rawaa Al-Naday, Mays School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom

ISBN: (纸本)9789897587504

applications of the Internet of Things (IoT) face challenges related to interoperability and heterogeneity due to variations in data representation formats and the absence of connectivity standards across wireless networks. This has led to the emergence of context-oriented data brokering frameworks, with FIWARE being the most widely adopted. However, such frameworks are not able to differentiate malicious from benign data. Consequently, challenges related to data quality persist, and brokering overlays are susceptible to exploitation for the distribution of malicious data assets. We propose a novel Artificial Intelligence (AI) anomaly detection service that communicates with the FIWARE broker via the Fast application Programming Interface (FastAPI). The system also uses the Publish/Subscribe (Pub/Sub) model of FIWARE to allow networking between brokers to validate data assets before disseminating them. This is to analyze the overhead that anomaly detection introduces as a cost of the solution. The results show that the solution can detect around 95% malicious data, with an approximate overhead of 12% increase in response time. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： application programs

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Efficient Smart Irrigation system using Internet of Things (IoT) for Agriculture Crops 3

Efficient Smart Irrigation System using Internet of Things (...

引用

3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Ambika, G. Mohana Sudarshan, S. Kavitha, A. Sudhangowda, B.S. Nataraj, K. Rv College of Engineering® Center for Computer Vision Research Bengaluru India Rv College of Engineering® Center for Computer Vision Research Bengaluru India

ISBN: (数字)9798331509675

ISBN: (纸本)9798331509675

In this paper, application-based solution implemented for smart irrigation system using IoT and sensors. The proposed model provides a prediction of the user's time before which plant must need spraying, to compare water content present in soil and measure surrounding temperature and humidity in real-time. This application provides intelligent predictions which depend on environmental factors. If water is required, the tank valve is automatically opened and will be closed if water is not necessary. Nutrients dissolved in water are transported to each part of the plant. Water also protects plants from both frost and hot air currents. To maintain moisture of soil for efficient plant growth, it must be watered regularly. Instead of watering a little every day, opting for a more thorough watering at intervals is comparatively better. water needs to trickle below surface and reach end of pot. This ensures better root development. In this paper, as a first level plants of rose are considered, and first performed statistical analysis to find out the relationship between soil moisture with temperature and humidity. On a day, data is collected at three instances that is at morning, afternoon, and evening on both rainy and normal. This categorization is done as soil moisture and rate of evaporation differs at each different instance. On a rainy day, rate of evaporation will be nearly 0.0384614 due to more humidity and will have soil moisture in between 70% to 78% so plant may not need water whereas on a normal day, during afternoon there will be rate of evaporation nearly equal to 0.051156 which is more among all other cases and less soil moisture of 52% to 63% so watering is required. © 2025 IEEE.

关键词： Soil moisture

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application of computer Information Technology in Intelligent Analysis and Decision-Making Support of Diagnosis and Treatment Data 6th

Application of Computer Information Technology in Intelligen...

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6th international conference on Cyber Security Intelligence and Analytics, CSIA 2024

作者： Gao, Yan Zhang, Yinsong Yunnan Agricultural University Yunnan China

ISBN: (纸本)9783031882869

In view of the problem that TCM diagnosis and treatment data are complex, diverse and lack unified standards, this paper introduced computer information technology, combined with NLP and LSTM models, to improve the intelligent analysis ability of TCM diagnosis and treatment data, and provide scientific support for clinicians through an auxiliary decision-making system, thereby improving the efficiency and accuracy of diagnosis and treatment. First, this paper collected and integrated a large amount of medical records, treatment records, prescription information and other data from different TCM diagnosis and treatment platforms and medical institutions, standardizes data in different formats, and used natural language processing (NLP) technology for semantic analysis and data cleaning. Then, it built a classification and prediction model based on LSTM (Long Short Time Memory) to realize intelligent diagnosis and treatment recommendation generation for common diseases in view of the complex symptoms and individual differences unique to TCM diagnosis and treatment. Finally, based on the previous analysis and model results, an auxiliary decision system was developed to provide doctors with auxiliary decision suggestions in the treatment of complex symptoms and medication regimen recommendations during the diagnosis and treatment process. The results showed that after the use of the intelligent auxiliary decision system, the diagnosis and treatment time reduction rate was between 21.8% and 23.0%, and the accuracy rate reached 88.0%. Compared with traditional manual analysis methods, the efficiency of TCM diagnosis and treatment data processing has been significantly improved after the application of computer information technology. The introduction of computer information technology provides a new solution for the intelligent analysis and decision-making support of TCM diagnosis and treatment data, effectively solving the problems of complex, heterogeneous and insuffici

关键词： Data reduction

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IoT-based Environmental Monitoring system 3

IoT-based Environmental Monitoring System

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Abhiram, D. Dhanush Reddy, K. Koushik Reddy, P. Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This project meets the current important demand for the constant monitoring of environmental conditions because climate change and human activities affect ecosystems. Temperature and humidity are measured using the DHT11/DHT22 sensor connected to the ESP8266 microcontroller and the GPS module is used to obtaining the location information. In contrast to current approaches targeting the communication data or energy consumption only, the contaminants of this system are unified, location-based, and central. It provides immediate data transfer to the cloud through a comfortable low power interface for usage in farming, transportation, and more for environmental monitoring. The findings show that all the environmental conditions and location change can be monitored by the IoT-based system which use ESP32/Arduino microcontroller for sensing data by a Bluetooth or Wi-Fi through cloud platform or server and it gives alert message to web interface or mobile application when temperature increases or decreases more than threshold values. This practical system is especially valuable for those areas of interest that require a constant check, such as environmental control or the logistics and health safety of the transported goods or passengers. © 2025 IEEE.

关键词： Environmental monitoring

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Real-Time Safety Monitoring for Construction Sites Using RFID and Visual Recognition Technologies 1

Real-Time Safety Monitoring for Construction Sites Using RFI...

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1st international conference on AIML-applications for Engineering and Technology, ICAET 2025

作者： Thaleeparambil, Noeal Rajeev Biju, Abiya Krishna, Deva Prathap, Boppuru Rudra Rekha, V. Reddy, Vandana Department of Computer Science and Engineering Bengaluru India M. S. Ramaiah University of Applied Sciences Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350355611

The integrated automated safety monitoring system for construction sites utilizes RFID, Wi-Fi, and vision-based recognition systems to enhance worker safety and ensure adherence to safety regulations. This system combines sophisticated components such as RFID tags and Raspberry Pi, solenoid locks, servo motors, and PIR sensors to provide an exhaustive solution. RFID technology is applied to assign unique tags to each worker, facilitating accurate tracking and identification The Wi-Fi and visual recognition components improve the system's functionalities, enabling wireless connectivity instantaneous data transmission, and verification of appropriate safety gear application. Solenoid locks and servo motors ensure regulated access to hazardous areas, responding to authenticated safety compliance records. PIR sensors sense motion, differentiating between authentic presence and mere nearness. The methodology outlines the necessary hardware and software criteria, procedures for system initialization, evaluation phases, server connectivity setup, access control enactment, and session closure protocols. It details the seamless integration and verification of hardware components, backend connectivity, identity and safety adherence verification, data encoding, and session termination processes. This research aims to upgrade safety surveillance in construction environments, boosting productivity, accuracy, and security. It also underscores the need for further adaptability to various construction settings to advance greater uptake and continuous improvement in workplace safety protocols. © 2025 IEEE.

关键词： Radio frequency identification (RFID)

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