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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

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A Simple and Lightweight Mutual Authentication Protocol for Wireless sensor Networks 17

A Simple and Lightweight Mutual Authentication Protocol for ...

引用

17th IEEE International conference on advanced Networks and Telecommunications systems, ANTS 2023

作者： Vyas, Sauhard Jain, Usha Manipal University Jaipur Department of Computer & Communication Engineering Jaipur India Manipal University Jaipur Department of Computer Science Engineering Jaipur India

ISBN: (纸本)9798350307672

Wireless sensor networks (WSNs) are widely employed in a wide range of applications;because of technological improvements, extremely small sensors are now widely accessible, and their utilisation decreases costs. Because of power and computational limits, wireless network protocols cannot be used on networks with small nodes. We propose a node authentication for nodes in WSNs to avoid security threats and create secure communication between them, based on our understanding of the importance of security in WSNs and the resource constraints of small WSNs. In the proposed Protocol, a base station (S) creates and maintains a secret value and a random number is present in each sensor node. The sensor node authenticates itself by using a secret value and hash functions. Timestamps promotes freshness, efficiency, and durability. Because the proposed protocol is lightweight cryptography, it necessitates little computing, communication, and storage resources. The proposed mechanism's security analysis revealed no security flaws, and it was discovered to have lower storage, communication, and compute overheads. As a result, the proposed is best suited for WSNs with small nodes. © 2023 IEEE.

关键词： sensor nodes

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Enhancing Movie Recommendation systems through Demographic and Content-Based Filtering Using TF-IDF and Cosine Similarity

Enhancing Movie Recommendation Systems through Demographic a...

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2024 International conference on Artificial Intelligence and Quantum Computation-Based sensor applications, ICAIQSA 2024

作者： Shaikh, Shakila Dani, Diksha SVKM's NMIMS Computer Engineering Mukesh Patel School of Technology Management & Engineeringdept Mumbai India

ISBN: (数字)9798331517953

ISBN: (纸本)9798331517953

the need of data collection in recent years has piloted into a transformative era of information utilization. The recommendation systems represent a specialized type of information filtering mechanisms designed to improve the quality of search outcomes by suggesting items that are highly related to user queries or aligned with their historical interactions. This research uses demographic filtering for a recommending popular and well rated movies to users with similar demographic backgrounds irrespective of genre or other parameters. The methodology used in this paper computes pairwise similarity scores for all movies based on the parameter of descriptions and recommend movies to the users based on that similarity score. TF ∗ IDF is used to calculate the relative frequency that is the importance of the words in description. It vectorizes the object to generate TDF-IDF matrix of plots of movies. Cosine similarity is applied to find similarities between each pair of movies. The above approach generates a matrix in which each column represents a movie and each column has a word from the overview vocabulary that appear in at least one document. This is practiced to decrease the value of words that occur frequently in plot description, and hence reduces their impact in calculating the final similarity score. Demographic and content-based filtering is used for recommendation in this paper, while demographic filtering provides a very fundamental method for recommendation and cannot be used practically, whereas content-based filtering is more advanced and powerful. © 2024 IEEE.

关键词： Wiener filtering

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Distributed sapphire fiber sensors for steel-making industrial applications 3

Distributed sapphire fiber sensors for steel-making industri...

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conference on Optical Waveguide and Laser sensors III

作者： Mumtaz, Farhan Tekle, Hanok Zhang, Bohong Smith, Jeffrey D. O'Malley, Ronald J. Gerald, Rex. E., II Huang, Jie Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Mat Sci & Engn Rolla MO USA

ISBN: (纸本)9781510674073;9781510674066

This research demonstrates femtosecond (FS) laser-written distributed fiber Bragg gratings (FBGs) sensors within sapphire crystalline fiber, tailored for steelmaking applications. The study precisely assesses sensor stability during a 72-hour exposure to severe conditions, including temperatures reaching 1600 degrees C. The FBGs exhibit excellent signal strength and a maintained high signal-to-noise ratio (SNR) by averting external surface reactions with the sapphire fiber. Extensive annealing at 1600 degrees C purifies the sheathing material. By utilizing an extended 1-meter sapphire fiber, this work surmounts the challenges of cascading FBGs in highly multimode waveguides, enabling FBG signal capture in demanding applications. This research enhances our comprehension of FBG performance in high-temperature environments and paves the way for robust optical fiber systems in steelmaking applications, including tundish probes and submerge entry nozzles (SEN) for molten metal casting. Additionally, the exceptional efficiency and precision of sapphire FBG sensors, in contrast to conventional thermocouples, offer the potential to boost productivity, lower energy consumption, and reduce the carbon footprint in the steel industry.

关键词： Sapphire FBGs sensor distributed thermal mapping harsh environment femtosecond laser fiber Bragg gratings steelmaking industry applications tundish probe submerge entry nozzle

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Exploring the Nexus between sensor Reliability and System Performance: A Comprehensive Analysis 16

Exploring the Nexus between Sensor Reliability and System Pe...

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16th Annual conference of the Prognostics and Health Management Society, PHM 2024

作者： Tripathy, Deepak Gottumukkala, Rahul Kim, Derek PHM Technology North FitzroyVIC3068 Australia

ISBN: (纸本)9781936263059

In contemporary technological landscapes, sensors play a pivotal role in enabling diverse applications across industries, from healthcare to manufacturing. This paper undertakes a thorough investigation on system performance (reliability and availability of a system), focusing on the critical interplay between baseline performance, performance with integrated sensors and performance considering sensor reliability, recognizing the foundational importance of sensors in data-driven decision-making processes. The research employs a causation-based approach to systematically develop functional relations within the system. The failures identified of each component and functional relationships will then be analyzed using a simulation technique to understand the inherent performance of the engineering system. From here, a genetic algorithm is used to design a sensor set and tailor it for an engineering system, providing a foundation for conducting trade studies in the paper's subsequent sections. Through rigorous quantitative analysis and simulations, we compare the impacts of the performance of the sensor set design compared to the baseline performance. The paper then investigates the complexities of sensor reliability on overall system performance. Through advanced simulations, we elucidate the potential cascading effects that variations in sensor reliability can have on the system's performance. By exploring these ripple effects, we aim to provide a comprehensive understanding of how sensor reliability plays a crucial role in determining the success of complex systems. Beyond the immediate considerations of sensor characteristics, the paper analyses the maintenance aspects of sensors by performing a series of analyses to suggest maintenance aimed at improving the sensor and hence system reliability. Highlighting the relationship between sensor reliability and system performance, this section stresses the critical role of consistent maintenance practices in ensuring susta

关键词： Decision making

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DBCS-SMJF: Designing a BLDCM Control System for Small Machine Joints Using FOC 19th

DBCS-SMJF: Designing a BLDCM Control System for Small Machin...

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19th International conference on advanced Intelligent Computing Technology and applications (ICIC)

作者： Zhang, Leyi Long, Yingjie Hu, Yingbiao Li, Huinian Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China South China Normal Univ Sch Comp Sci Guangzhou 510631 Peoples R China Macao Polytech Univ Fac Appl Sci Macau 999078 Peoples R China Macao Univ Sci & Technol Sch Comp Sci & Engn Macau 999078 Peoples R China

ISBN: (纸本)9789819947607;9789819947614

This paper proposes a new motor field-oriented control scheme for robot joint control that utilizes linear Hall position sensors. The proposed position sensor can obtain rotor position information of the motor with high precision and low cost, overcoming the limitations of traditional motor control systems that use expensive and bulky encoders. The proposed plan includes a Hall sensor module, an electromagnetic detection module, a motor drive module, and a motor. It has been tested and verified using Ansys magnetic field simulation. The proposed system can improve the accuracy and stability of robot joint control while reducing costs compared to traditional motor Field-Oriented Control (FOC) systems. Using linear Hall position sensors can make the system more compact and lightweight. Future work may focus on further optimizing and refining the design for real-world applications.

关键词： SVPWM FOC Linear Hall sensor Motor PI Controller MCU

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MEMS sensor Based V2V Communication Using Li-Fi Technology 9

MEMS Sensor Based V2V Communication Using Li-Fi Technology

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9th International conference on advanced Computing and Communication systems, ICACCS 2023

作者： Thandapani, Kavitha Nagarajan, P. Pappa, C. Kanmani Ashokkumar, N. VelTech Rangarajan Dr.Sagunthala Rand D Institute of Science and Technology Department of ECE Tamilnadu India SRMIST Department of ECE Vadapalni Campus Tamililnadu Chennai India Mohan Babu University Department of ECE AndraPradesh Tirupati India

ISBN: (纸本)9798350397376

Due to its extensive use in intelligent transportation systems, the topic of traffic accident detection is quickly becoming one of the most fascinating ones. The absence of inexperienced drivers, driving while intoxicated, driving too fast, and driving while sleepy are the main contributors to these traffic accidents. Numerous measures have been used to stop these traffic accidents. However, the majority of them failed to stop this. We demonstrate an upgraded Li-Fi accident detection method in this study. The proposed model offers an intelligent system for the identification and avoid of accidents for the protection of human life. sensors like mems sensors and ultrasonic sensors are used in that preventative component. When a sensor determines there is not enough space between two vehicles, it notifies the vehicle in front of it. © 2023 IEEE.

关键词： Ultrasonic applications

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A Finite-Time Complementary Filter for Attitude Estimation Using Inertial sensors

A Finite-Time Complementary Filter for Attitude Estimation U...

引用

2024 IEEE International conference on Unmanned systems, ICUS 2024

作者： Wang, Linan Wen, Guanghui Yi, Xiaojian Wang, Xinhe Liu, Geng Department of Systems Science Southeast University Nanjing China School of Mechatronical Engineering Beijing Institute of Technology Beijing China School of Cyber Science and Engineering Southeast University Nanjing China China State Shipbuilding Corporation Systems Engineering Research Institute Beijing China

ISBN: (纸本)9798350384185

This paper presents a novel finite-time complementary filter specifically designed for attitude and gyroscope bias estimation. The key contributions of this filter include ensuring rapid convergence to the actual attitude within a finite time, significantly improving performance over traditional filters that only guarantee asymptotic stability. The filter achieves high accuracy by effectively integrating data from multiple sensors, such as gyroscopes, accelerometers, and magnetometers, through advanced sensor fusion algorithms and noise suppression techniques. Additionally, simulation tests confirm the filter's robust resistance to noise, highlighting its potential to enhance the performance of attitude estimation systems across various applications by providing faster, more accurate, and reliable estimates. © 2024 IEEE.

关键词： Gyroscopes

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Enhanced Intrusion Detection in Wireless sensor Networks: A Voting and Particle Swarm Optimization Approach 21

Enhanced Intrusion Detection in Wireless Sensor Networks: A ...

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21st IEEE International conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2024

作者： Jaradat, Ameera Alhatamleh, Salem Nasayreh, Ahmad Gharaibeh, Hasan Yarmouk University Dept. of Computer Sciences Irbid Jordan

ISBN: (纸本)9798350378078

Wireless sensor networks (WSNs) are of great importance in advanced technologies in the modern developing world as they are widely used in many applications. Although encryption and authentication protocols in WSNs are widely adopted, there are continuous expectations of new sophisticated attack strategies that are spreading, which pose high risks and threats. This work addresses these challenges using Intrusion Detection systems (IDS) that will be supported by machine learning algorithms. Specifically, it explores the WSN-DS dataset that includes network activities and attack types. In addition, it initializes the importance of feature selection and proposes data balancing methods such as Synthetic Minority Over-sampling Technique SMOTE, it is a statistical method for correcting class imbalance in datasets by creating synthetic samples for the minority class to enhance the detection rate. To increase the performance of the machine learning model, we use a voting classifier consisting of Random Forest (RF), K-Nearest Neighbors (KNN) and Extreme Gradient Boosting (XGBoost) and optimize them using Particle Swarm Optimization (PSO) by selecting the best hyperparameters. This ensemble method aims to maximize the performance of the used ensemble models. The proposed model is demonstrated by improving the PSO voting classifier model which gives a remarkable accuracy of 99.99% making it a highly effective approach in predicting and filtering different types of attacks in wireless sensor networks. This work will help in promoting further research in protecting wireless sensor networks from invasive intrusions in various applications to ensure security in communication networks. © 2024 IEEE.

关键词： Network intrusion

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Malware Detection By Distributed systems with Partial Centralization 12

Malware Detection By Distributed Systems with Partial Centra...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Savenko, Bohdan Kashtalian, Antonina Lysenko, Sergii Savenko, Oleg Khmelnytskyi National University Khmelnytskyi29016 Ukraine

ISBN: (纸本)9798350358056

The paper proposes approach to use new tools for malware detection in corporate networks, which are distributed systems with partial centralization. To make decision about malware presence, the components which includes specified decision-making for the system's center are defined as a decentralized subsystem. To determine the states of the system components, characteristic indicators are proposed, and generalized analytical expressions for their calculation are developed. Such calculations make it possible to assess the state of the components in the system in order to determine its further steps. As a result, the system is the basis for usage of different malware detection methods in combination with the system components as an integral sensor. To test the system, a worm-virus detection method was implemented and experiments were conducted. The results of experimental studies approved the efficiency of the proposed solution. © 2023 IEEE.

关键词： distributed systems malware malware detection network security partial centralization worm-virus

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A Compact and Robust 28nm CMOS Temperature sensor with Machine Learning Assisted Design for DVFS SoC

A Compact and Robust 28nm CMOS Temperature Sensor with Machi...

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2023 IEEE International conference on Integrated Circuits, Technologies and applications, ICTA 2023

作者： Ding, Yizhi Zhi, Haochang Li, Jintao Chen, Zhuo Yang, Kaiyue Shan, Weiwei Southeast University Nanjing China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China

ISBN: (纸本)9798350344288

This work presents a compact and robust CMOS temperature sensor with machine learning (ML) assisted design maximizing these performance trade-offs for dynamic voltage and frequency scaling (DVFS) systems-on-chips (SoC). The gain-bandwidth is enhanced using closed-loop current generation and indirect Miller compensation so that the sensor can be powered by a noisy digital supply. The sensor is fabricated in 28nm CMOS process and occupies 0.0075 mm2 consuming 18.15 μ W at room temperature from a 0.9 V supply. Systematical nonlinearity results in an inaccuracy of 3.1% from 0 °C to 100°C after two-point trim. The sensor achieves a 0.25 K resolution in a 2.44 ms conversion time. The measured supply sensitivity is 7.4 °C/V from 0.8 V to 1.05 V. © 2023 IEEE.

关键词： Machine learning

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