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IoT based stir casting system of aluminium MMC

Materials Today: Proceedings 2021年 45卷 2818-2820页

作者： P. Anantha Christu Raj P. Kavitha S. Sophia K. Thilagam V. Devi J. Mohammed Feros Khan Department of Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore 641114 Tamilnadu India Department of Electrical and Electronics Engineering R.M.K. Engineering College Kavaraipettai 60120 Tamilnadu India Department of Information Technology Sri Krishna College of Engineering and Technology Coimbatore 641008 Tamilnadu India Department of Electronics and Communication Engineering Velammal Engineering College Chennai 600066 Tamilnadu India Department of Computer Applications Gurunanak College Chennai 600042 Tamilnadu India Department of Electrical and Electronics Engineering Vickram College of Engineering Enathi 630561 Tamilnadu India

In present days, an Internet of Things (IoT) based smart industry was established for casting sections that produces the different components in automobile, construction, railways and shipping. The effect of casting parameters and their performances on quality were analyzed through collected data from the system. A monitoring system has been introduced in every sector but the collected data are not being utilized properly. Hence, it is essential to set up a system suitable for the casting through IoT. In this paper, stir casting process was processed under IoT. Stir casting parameter and data were analyzed through IoT. It is expected that a process of efficient completion to be offered to the casting industries that desire to construct smart casting divisions in the future. The microcontroller, network and sensors have been used to improve the stir casting process. IoT based stir casting experimental investigation has been conducted on Aluminium Metal Matrix Composite (Al-MMC).

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Improving Lidar Based Tracking of UAVs Using an Approach Based on Focusing

Improving Lidar Based Tracking of UAVs Using an Approach Bas...

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Iberian robotics Conference (ROBOT)

作者： Alberto Cerutti Sedat Dogru Lino Marques Department of Electronics and Telecommunications (DET) Polytechnic University of Turin Turin Italy Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

This paper presents a novel approach for detecting drones using a lidar sensor integrated on a robotic turret. The turret rotates allowing the sensor to scan the sky, and both hardware components communicate in real-time. When the lidar sensor detects a drone, the detection data is used to dynamically adjust the motion pattern of the turret, allowing the system to capture more data by orienting the lidar sensor towards the drone, eventually improving tracking accuracy thanks to the higher number of detections achieved in this manner. In this paper we also explore different motion patterns for the turret, comparing them on the field to track a drone using the built lidar-turret system.

关键词： Laser radar Accuracy Uncertainty Tracking Focusing Robot sensing systems Real-time systems Hardware Optimization Drones

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Camera Lidar Fusion for Unmanned Aerial Vehicle Detection

Camera Lidar Fusion for Unmanned Aerial Vehicle Detection

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Iberian robotics Conference (ROBOT)

作者： Cosimo Leuci Sedat Dogru Lino Marques Department of Electronics and Telecommunications (DET) Polytechnic University of Turin Turin Italy Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

Due to their low-cost and ease of use, cameras are very popular for drone detection. Thanks to the feature reach images obtained from the cameras, it is possible to classify drones with a relatively high success ratio. However, cameras lack the means for accurate localization, allowing only a rough measure of the orientation of the target UAV. In order to better localize the UAV, in this study we fuse camera and lidar measurements, localizing UAVs accurately. This fusion was implemented using a Kalman filter, which enables integration of both sensor data, improving detection and tracking accuracy

关键词： Location awareness YOLO Laser radar Accuracy Robot vision systems Cameras Autonomous aerial vehicles Kalman filters Vehicle dynamics Drones

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On the Enhancement of Energy Efficiency of Wireless Rechargeable Sensor Networks through Mobile Charger Scheduling

On the Enhancement of Energy Efficiency of Wireless Recharge...

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Distributed Computing and Optimization Techniques (ICDCOT), International Conference on

作者： Md. Kamaruzzaman Abhijit Chandra Md. Azharuddin Dept.of Robotics and Automation The Neotia University Kolkata India Dept. of Instrumentation and Electronics Engineering Jadavpur University Kolkata India Dept. of Computer Science and Engineering Aliah University Kolkata India

In recent years, wireless rechargeable sensor networks (WRSNs) have become more popular because of its diverse array of applications. However, the limited energy resources of individual sensors pose a significant challenge in maintaining network operations over an extended period. To address this challenge, this research paper presents an energy-efficient scheduling scheme based on distance based scheduling for mobile charging vehicle (MCV) in WRSNs. The proposed scheme capitalizes on the MCV, allowing them to dynamically adjust their charging schedules to cater to the energy demands of sensor nodes (SNs). By efficiently allocating charging tasks to MCV, the scheme aims to balance the energy distribution and mitigate the energy imbalance across the network. By conducting comprehensive simulations with various scenarios, the proposed scheme has been compared with some existing schemes in relation to charging path length, total energy received and charging utility. The simulation results manifest significant advantages of the proposed scheme.

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Attitude Control with a Region-Based Method for an Unmanned Aerial Vehicle

Attitude Control with a Region-Based Method for an Unmanned ...

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Asian Control Conference

作者： Mohd Bazli M. Mokhar Zool H. Ismail Mohamad Yani Matthew W. Dunnigan Faculty of Electrical Engineering Universiti Teknologi Malaysia Center for AI & Robotics Universiti Teknologi Malaysia Dept. of Electrical Electronics and Computer Engineering School of Eng. and Physical Sciences Heriot-Watt University

ISBN: (纸本)9781479978632

This paper presents dynamic inversion control with a region control method. Dynamic inversion control is chosen to deal with the strong coupling effect present in an underactuated aerial vehicle (quadrotor). Dynamic inversion is effective in both linear and nonlinear control whilst the region control method is a method that can reduce the energy consumption of the quadrotor. Numerical simulations are presented to demonstrate the effectiveness of the proposed controller.

关键词： Region-based method Quadrotor Dynamic inversion control Underactuated Coupling effect

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IoT enabled temperature sensing system of molten metal in welding

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Materials Today: Proceedings 2021年 45卷 2514-2517页

作者： S. Sanjith N. Balaji L.D. Vijay Anand W. Regis Anne P. Shanmugapriya S. Sheeba Rani Department of Computer Science St. Alphonsa College of Arts and Science Soosaipuram 629157 Tamilnadu India Department of Instrumentation and Control Engineering Sri Sairam Engineering College Chennai 600044 Tamilnadu India Department of Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore 641114 Tamilnadu India Department of Computer Applications Sri Krishna College of Engineering and Technology Coimbatore 641008 Tamilnadu India Department of Electrical and Electronics Engineering Sri Sairam Engineering College Chennai 600044 Tamilnadu India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology Coimbatore 641008 Tamilnadu India

The control of temperature in welding is essential to maintain the quality of metal joints. Due to current fluctuations and instrument errors, the quality of joint may be affected. The excess of temperature or molten stage may leads to change the effect of micro structure. An automatic temperature sensing system is needed to eliminate this problem. It is fulfilled through Internet of Things (IoT) based temperature sensing on molten metal in welding. The temperature sensors, micro controller, LAN/Wireless communications and server are used to enhance the automatic temperature sensing on molten metal in welding process. The experimentation is conducted on arc welding of mild steel. The quality characteristics and optimization studied through Taguchi method.

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Intermediate point norm optimal iterative learning control

Intermediate point norm optimal iterative learning control

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51st IEEE Conference on Decision and Control, CDC 2012

作者： Owens, David H. Freeman, Chris T. Dinh, Thanh Van Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom School of Electronics and Computer Science University of Southampton Highfield SO17 1BJ United Kingdom Advanced Robotics Division Italian Institute of Technology Genoa Italy

A Norm-Optimal Iterative Learning Control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties are presented, along with design guidelines and supporting experimental results using an electromechanical test facility. © 2012 IEEE.

关键词： Learning algorithms

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Blockchain Technology and Artificial Intelligence's Future Applications in Cyber Security

Blockchain Technology and Artificial Intelligence's Future A...

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Advancement in electronics & Communication engineering (AECE), International Conference on

作者： Ramiz Salama Sinem Al-Turjman Chadi Altrjman Fadi Al-Turjman Richa Gupta Satya Prakash Yadav Satvik Vats Department of Computer Engineering AI and Robotics Institute Research Center for AI and IoT Near East University Nicosia TURKIYE Artificial Intelligence Engineering Dept AI and Robotics Institute Near East University Nicosia Turkey Department of Chemical Engineering Waterloo University ON Canada Department of Electronics & Communication Engineering Raj Kumar Goel Institute of technology Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management(GLBITM) Greater Noida India Department of Computer Science and Engineering Graphic Era Hill University Dehradun India

Artificial intelligence and blockchain are quickly integrating in daily life and business applications. When numerous information systems must access and analyze data in real-time in centralized systems and applications, such as healthcare, a bottleneck develops. This issue would be resolved by blockchain's decentralized database architecture, safe data storage, data exchange, and authentication. Additionally, AI can be present at the very top of the blockchain and produce insights from the shared data that is created and applied to forecasts. Blockchain is a cutting-edge Cybersecurity technology that creates chains by mutual consent between nodes that chronologically link new blocks to those previously stored in nodes. A number of industries, including banking, insurance, cybersecurity, forecasting, healthcare, and cryptocurrencies, among others, are growing more quickly as a result of technology convergence. The likelihood of these systems being hacked increases as more digital technologies are used and these businesses provide services. Blockchain technology and artificial intelligence can work together to create a strong defense against these dangers and security problems. We'll examine how blockchain and AI are merged in cybersecurity in this chapter. We'll go into more detail about how they help secure cyber-physical systems.

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A novel channel model and optimal power control schemes for mobile mmWave two-tier networks

TechRxiv

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TechRxiv 2022年

作者： Ghosh, Joydev Haci, Huseyin Kumar, Neeraj Al-Utaibi, Khaled A. Sait, Sadiq M. So-In, Chakchai School of Computer Science and Robotics Tomsk Polytechnic University Tomsk Russia Department of Electrical and Electronics Engineering Near East University Mersin 10 Turkey Department of Computer Science & Engineering Thapar Institute of Engineering & Technology Punjab India Computer Science and Software Engineering Department University of Ha’il Saudi Arabia Department of Computer Engineering King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Computer Science College of Computing Khon Kaen University Thailand

We present a unified system model and framework for the analytical performance study of two heterogeneous and physically-distinct, but coexisting, networks that work harmoniously at the same time, space, and frequency domains. The two-tier network model considered in this paper is an overlaying of femtocells on a macrocell. Overlaying femtocells improves the performance by offloading traffic from macrocells and providing spatial diversity. The mmWave channel model employed considers the number of clusters and rays within each cluster to vary due to the end-user mobility. This is a new and different model compared to the widely used channel models for mmWave two-tier networks. Optimal power control is formulated as a sum-rate maximization problem for downlink and uplink transmissions at two-tier networks and a power allocation scheme is proposed by following Shannon-Hartley theorem. A comprehensive and interesting performance investigation is provided, where it is shown that the upper bound on the number of admitted secondary users has a linear relationship with the outage probability threshold, logarithmic relationship with SINR and exponential relationship with channel gain factors. Simulation results show that the proposed scheme with sub-channel iterative Lagrange multipliers search algorithm is very effective at managing the cross-tier interference and can outperform a competitive scheme from literature that is based on cognitive radio technology. The computational complexity analysis of proposed algorithms are also given, since the complexity of second algorithm can be a performance-complexity trade-off issue for systems with limited computation power and time requirements. © 2022, CC BY.

关键词： Femtocell

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A Novel Gesture Driven Fuzzy Interface System For Car Racing Game

A Novel Gesture Driven Fuzzy Interface System For Car Racing...

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IEEE International Conference on Fuzzy Systems

作者： Chiranjib Saha Debdipta Goswami Sriparna Saha Amit Konar Anna Lekova Atulya K. Nagar Department of of Electronics and Telecommunication Engineering Jadavpur University Kolkata-700050 India Institute of System Engineering and Robotics Bulgarian Academy of Sciences Sofia Bulgaria Department of Mathematics and Computer Science Liverpool Hope University United Kingdom

ISBN: (纸本)9781467374293

The recently developed Kinect sensor has opened a new horizon to Human-computer Interface (HCI) and its native connection with Microsoft's product line of Xbox 360 and Xbox One video game consoles makes completely hands-free control in next generation of gaming. Games that requires a lot of degree of freedoms, especially the driving control of a car in racing games is best suitable to be driven by gestures, as the use of simple buttons does not scale to the increased number of assistive, comfort, and infotainment functions. In this paper, we propose a Mamdani type-I fuzzy inference system based data processing module which effectively takes into account the dependence of actual steering angle with the distance of two palm positions and angle generated with respect to the sagittal plane. The FIS output variable controls the duration of a virtual "key-pressed" event which mocks the users pressing of actual keys assigned to control car direction in the original game. The acceleration and brake(deceleration) of the vehicle is controlled using the relative displacement of left and right feet. The proposed experimental setup, interfacing Kinect and a desktop based racing game, has shown that the virtual driving environment can be easily applied to any games belonging to this particular genre.

关键词： Novel Gesture Driven Fuzzy Interface System Car Racing Game HCI computer human interaction Game theory interface system game player Gestures Automobile driving Hunting Game animals virtual drive Cars relative displacement DETRAINING Car owner acceleration

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