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检索条件"任意字段=International Conference on Measurement and Modeling of Computer Systems"

共 90136 条记录，以下是401-410 订阅

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Using computer modeling for Tracking high-order Nonlinear systems with Time-Delay 4

Using Computer Modeling for Tracking high-order Nonlinear Sy...

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4th IEEE international conference on Smart Information systems and Technologies, SIST 2024

作者： Tasbolatuly, Nurbolat Alimhan, Keylan Yerdenova, Aigerim Bakhadirova, Gulnaz Nazyrova, Aizhan Kaldarova, Mira Higher School of Information Technology and Engineering Astana International University Astana Kazakhstan Faculty of Mechanics and Mathematics L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Quality Assurance and Employment Astana International University Astana Kazakhstan

ISBN: (纸本)9798350374865

This paper investigates the challenge of globally practically tracking a class of high-order nonlinear systems with time delay via feedback. The object of study is a nonlinear system, the main goal is to develop a control function that allows you to regulate the output data of the specified nonlinear system using a reference signal. The article publication is distinguished by its scientific novelty due to the study of a system in which the degree of the upper limit of nonlinearity is determined within a continuous interval. The system under examination exhibits a distinctive characteristic, wherein the extent of the upper boundary limitation of nonlinearity is defined within a continuous interval. We propose a customizable and delay-independent tracking controller designed to mitigate the impact of delay time non-linearity. This is achieved by generating a Lyapunov function using a generalized approach that involves incorporating a signum function and a power integrator. The resulting controller ensures the global boundedness of all states within the closed system, along with a sufficiently small control error over a finite time. Additionally, this work places emphasis on computer simulations to validate previously obtained results. © 2024 IEEE.

关键词： MATLAB

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Leveraging IoT and Digital Twins to Monitor Crop Growth and Health in Agriculture 10

Leveraging IoT and Digital Twins to Monitor Crop Growth and ...

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10th international conference on Advanced Computing and Communication systems, ICACCS 2024

作者： Benny, Brijit Shirley, C.P. Berin Jeba Jingle, I. Vidhya, K. Elakkiya, E. Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India Govt. Arts College for Women Tamil Nadu Sivaganga India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

Digital twins and Internet of Things (IoT) technology have revolutionized modern farming by enabling creative techniques of monitoring and controlling crop growth and well-being. This article investigates the potential applications of Internet of Things (IoT) sensors and digital twin models for agriculture to provide farmers with analytical projections, assistance in making decisions, and continuous surveillance. Digital twin models are simulated representations of the real agricultural ecosystem that use data from multiple sources to correctly represent the dynamic interplay among crop nutritional status and conditions in the environment. The Internet of Things (IoT) and the use of digital twins have revolutionized the modern agricultural sector by enabling the monitoring and management of farms in order to regulate crop health and growth. The current research looks into the use of IoT sensors and digital twin technologies in agriculture. Farmers can obtain comprehensive data on agricultural growth conditions by utilizing Internet of Things (IoT) sensors. Sensors such as these collect data on solar exposure, pH, temperature, humidity, and moisture levels in the soil. Digital twin designs, computational depictions of the real agriculture atmosphere, are being developed using this information sources to replicate the dynamic interaction involving the physiology of crops and external factors. © 2024 IEEE.

关键词： Temperature sensors Temperature measurement Biological system modeling Crops Real-time systems Data models Digital twins Sensors Internet of Things Farming

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modeling Emotions and Feelings with Quantum Circuits 24

Modeling Emotions and Feelings with Quantum Circuits

引用

8th international conference on Electronic Information Technology and computer Engineering, EITCE 2024

作者： Qin, Ruilin Zhou, Changle College of Computer Engineering Jimei University Fujian Xiamen China Department of Artificial Intelligence Xiamen University Xiamen China

ISBN: (纸本)9798400710094

Emotions play an important role in human cognition. With the development of affective computing, there is an increasing number of studies on building emotional machines. However, today’s machines are far from having emotional feelings, which are the very nature of emotions. To address this issue, we propose a quantum circuit model of emotions and feelings based on quantum theory. In this model, an emotion is always accompanied by a feeling, and their simultaneity is modeled by quantum entanglement. In addition, mixed emotions are modeled as quantum superposition states and the generation of a specific emotion is regarded as the result of quantum collapse by measurement which can be seen as cognitive activities. Experimental results on the IBM quantum simulation platform demonstrate the feasibility of the proposed model, suggesting that quantum computing is a promising way to create genuine emotional machines. © 2024 Copyright held by the owner/author(s).

关键词： Quantum entanglement

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Advanced 3D modeling for Augmented Reality Visualizations in Engineering Education: Issues, Challenges, and Future

Advanced 3D Modeling for Augmented Reality Visualizations in...

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2023 IEEE international conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023

作者： Paul, Trishna Rohil, Mukesh Kumar Birla Institute of Technology and Science Department of Computer Science and Information Systems Rajasthan Pilani333031 India

ISBN: (纸本)9798350393415

Augmented Reality (AR), the superimposing of a virtual object on the view of the real environment, assists in visualizing engineering concepts in real-Time. computer graphics-based 3D modeling techniques evolved over the past five decades are being used in AR systems. Representations of 3D objects using polygons, surface patches, points (or voxels), and lines are insufficient to visualize the intricacies of objects having curved surfaces. To enable high-level control and accuracies pertaining to 3D representational details of 3D models, advanced 3D modeling approaches are needed. In this paper, we discuss (along with their suitability, examples, and advantages) several advanced 3D modeling techniques for AR visualizations. We emphasize that the use of AR visualizations for teaching and learning can help learners with a better understanding of concepts in engineering education. Additionally, we discuss some issues, challenges, and the future scope of use of AR in Engineering Education. © 2023 IEEE.

关键词： 3D modeling

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modeling and simulation of the capacitive NEMS pressure sensor based on suspended graphene membranes

Modeling and simulation of the capacitive NEMS pressure sens...

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2024 international conference on Next Generation Electronics and Photonics, INGEP 2024

作者： Liu, Quan Zhang, Zhe Ding, Jie Zhang, Wendong Fan, Xuge Advanced Research Institute of Multidisciplinary Sciences Beijing Institute of Technology China Yangtze Delta Region Academy Beijing Institute of Technology. China School of Integrated Circuits and Electronics Beijing Institute of Technology China State Key Laboratory of Dynamic Measurement Technology North University of China China National Key Laboratory for Electronic Measurement Technology North University of China China

Nanoelectromechanical systems (NEMS) employing graphene have garnered significant attention for their potential applications in pressure sensors. Compared to other electrical readout mechanisms, capacitive sensing is a promising alternative one due to its less dependence on material properties and environmental factors. Graphene, with its unique properties, is an excellent candidate for high-performance NEMS pressure sensors. However, there are few studies on theoretical modeling of capacitive NEMS pressure sensors based on suspended graphene membrane. This paper presents the design, modeling and simulation of capacitive NEMS pressure sensors based on circular suspended graphene membrane. The impact of parameters of graphene membrane on the sensor performance is studied through COMSOL finite element analysis software. The results show that the sensitivity increased with the increase of the radius of graphene membrane but decreased with the increase of the thickness of graphene membrane, and the polar plate spacing determines the trade-off between the sensitivity and the measurement range. Further, decreasing the polar plate spacing increases the sensitivity but changes the capacitance-pressure relationship from linear to nonlinear. © Published under licence by IOP Publishing Ltd.

关键词： Microchannels

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TCCL: Discovering Better Communication Paths for PCIe GPU Clusters 24

TCCL: Discovering Better Communication Paths for PCIe GPU Cl...

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29th ACM international conference on Architectural Support for Programming Languages and Operating systems, ASPLOS 2024

作者： Kim, Heehoon Ryu, Junyeol Lee, Jaejin Dept. of Computer Science and Engineering Seoul National University Seoul Korea Republic of Dept. of Data Science Dept. of Computer Science and Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)9798400703867

Exploiting parallelism to train deep learning models requires GPUs to cooperate through collective communication primitives. While systems like DGX, equipped with proprietary interconnects, have been extensively studied, the systems where GPUs mainly communicate through PCIe have received limited attention. This paper introduces TCCL, a collective communication library designed explicitly for such systems. TCCL has three components: a profiler for multitransfer performance measurement, a pathfinder to discover optimal communication paths, and a modified runtime of NCCL to utilize the identified paths. The focus is on ring-based collective communication algorithms that apply to popular communication operations in deep learning, such as AllReduce and AllGather. The evaluation results of TCCL on three different PCIe-dependent GPU clusters show that TCCL outperforms (up to ×2.07) the state-of-the-art communication libraries, NCCL and MSCCL. We also evaluate TCCL with DL training workloads with various combinations of parallelism types. © 2024 Copyright held by the owner/author(s).

关键词： Graphics processing unit

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18th international conference on Mathematical modeling and Simulation of systems, MODS 2023

18th International Conference on Mathematical Modeling and S...

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18th international conference on Mathematical modeling and Simulation of systems, MODS 2023

ISBN: (纸本)9783031673474

The proceedings contain 30 papers. The special focus in this conference is on Mathematical modeling and Simulation of systems. The topics include: Method of Assessment of Years of Life Lost Due to COVID-19 Pandemic in Ukraine;prediction of Durability of the Coatings of High-Loaded Friction Hinge Joints;simulation of Fluid-Structure Interaction in Last Stage of Steam Turbine;heat Transfer Calculation for Numerical Simulation of Thermal Mode of Slag–Splashing Lance in the Forecasting System;method for Classifying Economic Agents Based on Neural Networks and Fuzzy Logic;mathematical modeling of the Evolution of the Rehabilitation Process for Patients with Oncological Diseases;model Synthesis Algorithms for a Monitoring Software Agent;predicting Corporate Bankruptcy Using Machine Learning Models;experimental Studies of New Algorithms with Optimism and Exponential Averaging for Finding Saddle Points;The Fake News Recognition Method Based on Naïve Bayes with Improved TF-IDF Algorithm;fault-Tolerant Operation of an Integer Data Processing System;synthesis of a Mathematical Model of a Fault-Tolerant Real-Time computer System Operating in Non-positional Arithmetic in Residual Classes;machine Learning Method for Detecting Propaganda in Twitter Texts;students Classification Basing the Numerical Model to Compile Playful Teams on the Unispher™ Platform;a Fresh Approach to Neural Radiance Field modeling;method of Effective Counteraction Against Negative Information-Psychological Impact on the Regional Community by Using Social Networks;general Methodology for Detecting Fuzzy Duplicates in Electronic Texts with Integrated Mechanisms for Data Confidentiality Preservation;Implementing Recursive Proofs for Efficient Blockchain Verification: A zk-SNARKs Approach;an Optimal Clustering Approach Applying to Asynchronous Finite-State Machine Design.

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Detection and Prevention of Cyber Threats in Smart Cities Using Machine Learning and Intrusion Detection systems 2

Detection and Prevention of Cyber Threats in Smart Cities Us...

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2nd international conference on Self Sustainable Artificial Intelligence systems, ICSSAS 2024

作者： Rangani, Himabindu Chandrashekar, K. Aurora University Department of Computer Science and Engineering Telangana Hyderabad India

ISBN: (纸本)9798350368413

The increasing interconnectedness of smart cities has led to a surge in cyber threats. This research investigates the application of machine learning (ML) techniques to bolster the security of smart city environments. A comprehensive systematic literature review was conducted to analyze the effectiveness of various ML methodologies in detecting and preventing cyberattacks, including intrusions, malware, and spam. The study highlights the crucial role of ML in strengthening the security infrastructure of smart cities. By combining quantitative and qualitative research methods, this study explores the impact of ML-based intrusion detection systems on network traffic, expert opinions, and user interactions. The analysis involves employing statistical techniques, mathematical modeling, and ML algorithms to identify patterns and trends in the data. The findings of this research contribute to the advancement of cybersecurity in smart cities, enabling the development of more robust and resilient defense mechanisms. © 2024 IEEE.

关键词： Phishing

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FUNCTIONAL ANALYSIS OF CYBER-PHYSICAL systems FOR CONFIDENTIALITY QUANTUM RESILIENCE

FUNCTIONAL ANALYSIS OF CYBER-PHYSICAL SYSTEMS FOR CONFIDENTI...

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ASME 2024 international Design Engineering Technical conferences and computers and Information in Engineering conference, IDETC-CIE 2024

作者： Van Bossuyt, Douglas L. Hale, Britta Naval Postgraduate School Department of Systems Engineering MontereyCA United States Naval Postgraduate School Department of Computer Science MontereyCA United States

ISBN: (纸本)9780791888353

The pending development of a cryptographically relevant quantum computer (CRQC) puts cryptographic security relying on public key cryptography at risk. Such cryptography can be found throughout systems today, including cyber-physical systems, which raises a question on when to transition security to quantum resistant alternatives, i.e., post-quantum cryptography. Criticality of transition timeline and planning can be non-trivial for system managers and the cybersecurity risk of transition delay is often opaque. This paper investigates functional system modeling techniques for planning and risk mitigation against quantum threats to confidentiality in cyber-physical systems. The research in this paper applies systems engineering and design engineering tools such as Functional modeling in the form of Functional Failure Identification and Propagation (FFIP) and Flow State Logic (FSL) to analyze flow paths and provide quantum vulnerability metrics for cyber-physical systems. Using this insight, this work further provides guidance on how such metrics can be used to plan system transition for quantum resistance. Timeline upgrade prioritization of functions and their component solutions to prepare for the threat of a CRQC is possible with the method proposed in this paper. A simplified case study of a polar research facility is presented to demonstrate the method. This paper introduces the concept of Quantum Vulnerability Information Timeline (QVIT) in the context of system modeling and demonstrates within the case study how QVIT values can be calculated for various system components to estimate preparation timelines against quantum threats. Copyright © 2024 by The United States Government.

关键词： Quantum computers

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NutriGaze: AI-Driven Dietary Planning with OCR and NLP 4

NutriGaze: AI-Driven Dietary Planning with OCR and NLP

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4th international conference on Power, Energy, Control and Transmission systems, ICPECTS 2024

作者： Sheela, A. Sankar, Srinath Arun Mozhi, S. Vignesh, C.K. Sri Sairam Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508845

These days diabetes is among the most common diseases all over the globe. As a result, people suffering from diabetes need to change their way of life completely for the sake of their health. The health results may likely be interesting additions to overall wellness in this aspect. In this paper, we investigate the intersection of various software models including NLP and OCR for bettering diabetic dietary management. In this case, all different names given to sugar products in ingredient labels or items are indicated through natural entity recognition models by this application. This deals with two things mainly. First, it uses OCR to read text from the ingredient labels. Second, a custom NER model is advanced that establishes a threshold for the terms related to sugar. That is why the analysis can move faster and even slight occurrences of sugar or its derivatives could be detected through it. It therefore concerns about hard work between computer science and medical disciplines to minimize stress in life of patients suffering from diabetes mellitus globally. © 2024 IEEE.

关键词： computer science Computational modeling Optical character recognition Control systems Diabetes Planning Character recognition Sugar Stress Diseases

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