this paper studies the density of active devices in the European Union, China, India, United States and Canada estimating the interference the satellite will experience in the 868 MHz and 915 MHz frequency bands. the ...
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Distributed Denial of Service (DDoS) attacks pose a substantial threat to the stability and security of networked systems by disrupting server replies and services. their popularity arises from their ease of setup and...
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Performing Measurement, Calibration, and Diagnosis (MCD) work through automotive electronic control systems is a primary aspect of vehicle upgrade and maintenance. Nowadays, as the core component of automotive electro...
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In a world where travellers want the perfect stay, a new system emerges as the one that goes beyond simple hotel recommendations. By analysing details like interaction words and prices, it predicts hotel ratings using...
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Self-assembly, a chemistry-inspired manufacturing method, has been hoped to make intricate small-size multi-material structures in a bottom-up manner. Inspired by the concept of annealing, this paper presents a novel ...
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ISBN:
(纸本)9781665408288
Self-assembly, a chemistry-inspired manufacturing method, has been hoped to make intricate small-size multi-material structures in a bottom-up manner. Inspired by the concept of annealing, this paper presents a novel cluster formation method of self-assembly modules by inducing the shape-changing mechanism by heat. the developed 1 cm sized module is made of temperature-responsive volume-changing hydrogel, pNIPAM, surrounding static magnet-embedded materials. the modules are placed in a vertically placed water tank while experiencing buoyancy and agitation from air bubbles and magnetically interacting with other modules. By starting the self-assembly process at a higher temperature, the modules initially show a higher magnetic bonding probability and form two-dimensional clusters. As the temperature reaches the ambient temperature, the modules increase their diameters which results in weak bonding forces, and shows disassembly processes. the method is proposed for the aim of a dynamic self-assembly process using temperature.
the proceedings contain 70 papers. the special focus in this conference is on Deep Learning, Artificial Intelligence and robotics. the topics include: A Short Survey on Comparative Study of Modern Cryptograp...
ISBN:
(纸本)9783031609343
the proceedings contain 70 papers. the special focus in this conference is on Deep Learning, Artificial Intelligence and robotics. the topics include: A Short Survey on Comparative Study of Modern Cryptography Approach;advances in Computer-Aided Detection and Diagnosis of Retinal Diseases: A Comprehensive Survey of Fundal Image Analysis;driver Safety and Drowsiness Detection in Internet of Vehicles with Federated Learning;privacy Preserving Fingerprint Classification Using Federated Learning;comparative Study of Ensemble Learning Models for Smart Meter Load;social-Media Video Summarization Using Convolutional Neural Network and Kohnen’s Self Organizing Map;machine Learning and Deep Leaning in Predicting Coronary Heart Disease;Augmented Super Resolution GAN (ASRGAN) for Image Enhancement through Reinforced Discriminator;Convolutional Block Attention Assisted Dense Stacked Bi-LSTM for the Generation of RDF Statements;real-Time Permanent Change Proposals for Abandoned Object Detection;an Excursion to Ontology-Based Non-functional Requirements Specification;a Review of Traditional and Neural Network Methods for Protecting Privacy in Big Data Analytics;a Long Short-Term Memory Learning Based Malicious Node Detection for Clustering in Wireless Sensor Networks;experimental Analysis for Sensor Reduction to Depict Real-Time Applications through Regression Techniques;multi-resolution Neural Network for Road Scene Segmentation;A CNN-Based Road Accident Detection and Comparison of Classification Techniques;football Match Result Prediction Using Twitter Statistical/Historical Data;safeguarding Ecosystems and Efficiency in Peer-to-Peer File Sharing systems: An IoT-Inspired Approach to Pollution Mitigation;a Heuristic for Minimizing Resource Requirement for Quantum Graph Neural Networks;Light-Gated Recurrent Unit Based Acoustic Modeling for Improved Hindi ASR;Detecting Phishing URLs Using Machine Learning: A Review;comparative Analysis of Pneumonia Detection from Chest X-ray Using
Robotic rehabilitation requires personalized, versatile, and efficient devices. In this paper, we focus on hand rehabilitation and propose a tendon-actuated, modular, and adaptable glove. More specifically, in the pap...
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Robotic rehabilitation requires personalized, versatile, and efficient devices. In this paper, we focus on hand rehabilitation and propose a tendon-actuated, modular, and adaptable glove. More specifically, in the paper we investigate the kinematics relationships between tendon actuators and hand motion and present the implementation of two different finger modules, on which some experimental tests involving a user are performed.
An accumulated error based self-triggered model predictive control (AST-MPC) algorithm with an adaptive prediction horizon is proposed for cyber physical systems in this paper. Rather than executing the controller upd...
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Proprioception is a necessary skill in robots and especially complicated in soft robots. It is commonly achieved by adding an external complement to the robotic structure that acts as a sensor. In this work, we presen...
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ISBN:
(纸本)9781665408288
Proprioception is a necessary skill in robots and especially complicated in soft robots. It is commonly achieved by adding an external complement to the robotic structure that acts as a sensor. In this work, we present an approach in which the material itself (a cationic network hydrogel) serves as a structure and as a curvature sensor in a soft pneumatic bending actuator. the experiments carried out validate the use of the resistive strain capacity of our hydrogel as a proprioceptive sensor. We believe that this sensing capacity, together withthe high stretchability and self-healing capability of our material makes our approach an interesting alternative for the development of soft actuators.
作者：
PrathyakshiniShetty, Jyothi
Department of Information Science and Engineering Karkala Nitte India
Department of Computer Science and Engineering Karkala Nitte India
Text classification is an extremely vital task in Natural Language Processing, and it is utilized in many different applications. As there is increase in number of complicated documents there is need for deeper compre...
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