The proceedings contain 70 papers. The topics discussed include: human machine interface for Dexto Eka: -the humanoid robot;heuristics approach for robot path minimization for lamination assembly;studies on robotic de...
ISBN:
(纸本)9788192597430
The proceedings contain 70 papers. The topics discussed include: human machine interface for Dexto Eka: -the humanoid robot;heuristics approach for robot path minimization for lamination assembly;studies on robotic deburring of machined components using a SCARA robot;monovision based automated navigation and object detection;analysis of statistical texture features for automatic lung cancer detection in PET/CT images;inverse kinematics of a NAO humanoid robot using Kinect to track and imitate human motion;improvement of spectral and spatial information using Wamm and Bicubic interpolation method in non-subsampled contourlet tranform domain;investigation on laser assisted actuation of shape memory alloy based micro-valve;robust control of a three degrees of freedom aeroelastic model using an intelligent observer;and optimization of process parameters during machining of thixoformed A356-5TiB2 in-situ composite using design of experiments.
The proceedings contain 33 papers. The special focus in this conference is on Internet Computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Da...
ISBN:
(纸本)9783031859229
The proceedings contain 33 papers. The special focus in this conference is on Internet Computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC systems;improving Critical controls Using IoT and Computer Vision;A Data-Driven Driving Under the Influence (DUI) Detection, Notification and Prevention System Using Artificial Intelligence and Internet-Of-Things (IoT);understanding User Interactions with IoT Process Models: A Demographic Perspective;Advancing IoT Process Modeling: A Comparative Evaluation of BPMNE4IoT and Traditional BPMN on User-Friendliness, Effectiveness, and Workload;Threat Detection Using MLP for IoT Network;harnessing Social robotics and the Internet of Things to Reduce the Risk of Older Adults Developing Hypothermia and Dehydration;re/Imagining Smart Home automation Framework in the Era of 6G-Enabled Smart Cities;smart Roadway Monitoring: Pothole Detection and Mapping via Google Street View;Energy-Efficiency Modeling for AI Applications on Edge Computing;optimizing Wireless Sensor Network Node Placement Using Bacterial Foraging Optimization;The Vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of Machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement;autonomous Driving Prototype with Raspberry Pi by Using Image Processing Technology;towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption;advancing Nursing Education Through Virtual Reality Training: A Revolutionary Approach to Ensuring Patient Safety;multiDrone Simulator An Open Source Multi-plataform Tool to Use in Tests of Optimized Flight of Group of Drones;Revolutionizing Multiplayer Gaming: A Deep Dive into VisionXO, a 3D Multiplayer Tic-Tac-Toe Game.
This paper focuses on the issue of asynchronous guaranteed cost control for two-dimensional Bernoulli jump Roesser systems. To represent the asynchronous dynamics caused by mode mismatch, a hidden Bernoulli model is p...
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The proceedings contain 12 papers. The topics discussed include: using deep reinforcement learning for autonomous vessel path planning in offshore wind farms;integrating thermal, electrical, and mechanical dynamics in...
ISBN:
(纸本)9798400711268
The proceedings contain 12 papers. The topics discussed include: using deep reinforcement learning for autonomous vessel path planning in offshore wind farms;integrating thermal, electrical, and mechanical dynamics in thermoelectric generators: a 3D modeling approach;mobile observation point calculation and meter reading based on the digital twin model of substations;asynchronous guaranteed cost control of 2-D hidden Bernoulli jump Roesser systems;research on the index sensitivity of ship information system operator status;research on robot correction technology based on laser vision;design and application of indoor tactical assistance robots based on budget control;and numerical simulation of piston rings in marine diesel engines considering thermal-fluid-structure factors: from normal to gas leakage conditions.
An information-theoretic improvement of the stochastic Model Predictive control has been proposed and examined. First, it was observed that optimal feedback must, if possible, actively generate information about the s...
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This study concerns the fault-tolerant boundary consensus control design problem of the nonlinear multiagent systems (MASs) characterized by partial differential equations (PDEs) with time-varying delay and actuator f...
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ISBN:
(纸本)9789819607976;9789819607983
This study concerns the fault-tolerant boundary consensus control design problem of the nonlinear multiagent systems (MASs) characterized by partial differential equations (PDEs) with time-varying delay and actuator failures. By using the inequality technique and Lyapunov direct method, a fault-tolerant boundary consensus controller design is developed by linear matrix inequalities to guarantee that the nonlinear delayed consensus error systems with actuator failures are exponentially stable. Finally, a MAS modeled by PDEs with one leader and four followers is proposed to verify the feasibility of the fault-tolerant boundary consensus control method as an example.
With the rapid development of Internet of Things (IoT) technology, the security of embedded devices is becoming increasingly prominent. This paper analyzes the multifaceted security risks these devices face at the har...
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In this paper, an adaptive tracking controller is proposed for a class of nonlinear systems with external disturbance. Unlike existing approaches, the considered system is transformed into a fully actuated system (FAS...
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ISBN:
(纸本)9789819607976;9789819607983
In this paper, an adaptive tracking controller is proposed for a class of nonlinear systems with external disturbance. Unlike existing approaches, the considered system is transformed into a fully actuated system (FAS) model, simplifying the design of tracking controller. Additionally, this paper presents an extended state observer (ESO) that estimates both external disturbance and system states by defining the disturbance as a generalized system state. The error dynamic system is established by the designed reduced-order ESO. By combining the approach of linear matrix inequality (LMI) and backstepping, a tracking control law is constructed to guarantee the stability of the error dynamic system. Furthermore, we also discuss the specifics of tracking controller design. Theoretical analysis of stability demonstrates that the proposed tracking control scheme can ensure that the tracking error converges to zero, and all closed-loop system signals remain bounded. The simulation results illustrate the effectiveness of the suggested algorithm.
Significant progress has been made in AI for games, including board games, MOBA, and RTS games. However, complex agents are typically developed in an embedded manner, directly accessing game state information, unlike ...
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ISBN:
(数字)9789819607921
ISBN:
(纸本)9789819607914;9789819607921
Significant progress has been made in AI for games, including board games, MOBA, and RTS games. However, complex agents are typically developed in an embedded manner, directly accessing game state information, unlike human players who rely on noisy visual data, leading to unfair competition. Developing complex non-embedded agents remains challenging, especially in card-based RTS games with complex features and large state spaces. We propose a non-embedded offline reinforcement learning training strategy using visual inputs to achieve realtime autonomous gameplay in the RTS game Clash Royale (Clash Royale is a trademark of Supercell in Finland and other countries. This content is not approved or sponsored by Supercell). Due to the lack of a object detection dataset for this game, we designed an efficient generative object detection dataset for training. We extract features using state-of-the-art object detection and optical character recognition models. Our method enables real-time image acquisition, perception feature fusion, decision-making, and control on mobile devices, successfully defeating built-in AI opponents. All code is open-sourced at https://***/wty- yy/ katacr.
This article researches the asymptotic stabilization problem for spatial 2-D linear parabolic partial differential equation (PDE) systems with a mobile collocated actuator/sensor pair. First, the projection modificati...
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ISBN:
(纸本)9789819607976;9789819607983
This article researches the asymptotic stabilization problem for spatial 2-D linear parabolic partial differential equation (PDE) systems with a mobile collocated actuator/sensor pair. First, the projection modification algorithm is proposed to make sure that the mobile sensor/actuator pair can only move in the specified area. Then, an integrated design method of the static output feedback (SOF) control law and the mobile sensor/actuator guidance laws is developed for the spatial 2-D linear PDE systems. And lastly, numerical simulations can prove the effectiveness of the proposed method.
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