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共 2673 条记录，以下是241-250 订阅

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Implementation of Early Warning Algorithm for the Achievements of Foreign Students in Colleges and Universities Based on Grey Theory Model 3rd

Implementation of Early Warning Algorithm for the Achievemen...

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3rd EAI international conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2023

作者： Chen, Yanyu Wang, Shan International School Jinan University Guangdong Guangzhou510632 China

ISBN: (纸本)9783031631412

With the increase in the number of college graduates employed, employment data and course performance data are also increasing exponentially. Under certain circumstances, there are certain rules between these data, which have certain guiding significance for the study, graduation and employment of school students and future students. Academic early warning is an important means to strengthen school academic management, improve students’ ability of self-management and self-discipline, and form a joint management mode between schools and parents. The grey prediction model shows strong adaptability in the information mining of the laws contained in complex systems. In order to further enhance the prediction performance of the model, this paper focuses on the improvement of modeling ideas and methods, and the construction method of grey system prediction model. The results show that among the calculation students, those who have put forward early warning account for 60.33% of the students who cannot graduate normally. By collecting a variety of behavior data generated by college students in campus activities, including consumption data, access control data, Internet data, etc., a student behavior data set is constructed. It proves that the proposed method can effectively improve the accuracy of College Students’ performance early warning. © ICST Institute for Computer Sciences, Social informatics and Telecommunications Engineering 2024.

关键词： Students

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Penetration of Artificial Intelligence Techniques to Enhance the Agricultural Productivity and the Method of Farming;Opportunities and Challenges 3

Penetration of Artificial Intelligence Techniques to Enhance...

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3rd international conference on Innovative Practices in Technology and Management, ICIPTM 2023

作者： Raman, Ramakrishnan Muramulla, Sai Mounika Ponugoti, Sreelekha Srinivas, O. Dhinakaran, K. Kuchipudi, Ramu Robin, C.R. Rene Symbiosis Institute of Business Management Pune India Symbiosis International Pune India Acharya Nagarjuna University Department of Zoology and Aquaculture Guntur India Rmk College of Engineering and Technology Department of Computer Science Thiruvallur India Hasanparthy India Misrimal Navajee Munoth Jain Engineering College Department of Computer Science Chennai India Chaitanya Bharathi Institute of Technology Department of Information Technology Hyderabad India Sri Sai Ram Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350336238

Each nation's economic sector depends heavily on agriculture. Every day, more people live on the planet, which raises the requirement of food. For the time being, farmers' conventional methods are unable to meet the demand. As a result, new automation techniques are launched to meet these needs and give many people in this industry excellent job prospects. In every industry, including banking, robotics, agriculture, and education, artificial intelligence(AI) has emerged as one of the most crucial technologies. It is playing a very important part in the agriculture sector and changing the agriculture industry. AI protects the agricultural sector from a variety of concerns, including food safety, population expansion, climate change, and employment problems in this industry. Due to AI, the agriculture system of today has advanced to a new level. Real-time crop monitoring, production, harvesting, processing, and marketing have all been enhanced by artificial intelligence. Numerous cutting-edge computer-based systems are created to identify several significant factors, including weed identification, yield identification, crop quality, and many others. © 2023 IEEE.

关键词： Crops

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Design and Characterization of a High-performance Wearable Robot Using Symmetric Conjugate Surface Joints 3

Design and Characterization of a High-performance Wearable R...

引用

3rd IEEE international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Liang, Renghao Zhang, Qifeng Yang, Wenlin Wang, Yuqi Yin, Yudong He, Bo Guangdong Institute of Intelligent Unmanned System Guangdong China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Xi'an Jiaotong University Shaanxi China

ISBN: (纸本)9781665490788

Hand impairments after stroke of a person can result in losing his independence and quality of life. Hand exoskeletons are widely used for hand rehabilitation and assist in grasping tasks in people's daily life. Unfortunately, current hand exoskeletons remain challenges in user-friendly design, portable for daily use, and dexterity for different tasks. Here, we report a wearable hand exoskeleton that incorporates key biomimetic properties of human hand. The exoskeleton contains a series of symmetric conjugate surface joints. The hand exoskeleton proposed here achieves accurate biomimetic performance in the execution of finger natural grasping. Thanks to the conjugate surface joints, the finger exoskeleton is capable of tracking specific trajectories with a simple structure comparing with the traditional n-bar linkage exoskeletons. Experimental results confirm that the exoskeleton covers the range of fingertip forces required to assist users in daily grasping activities. © 2023 IEEE.

关键词： Biomimetics

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Design and analysis of newly developed two-wheeler shock absorber helical spring 3

Design and analysis of newly developed two-wheeler shock abs...

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3rd international conference on Intelligent robotics, Mechatronics and automation Systems, IRMAS 2023

作者： Hait, Mongaldip Dey, Tapobrata Sarnobat, Sandeep S Department of Mechanical Engineering D. Y. Patil College of Engineering Akurdi Pune India Savitribai Phule Pune University Pune India Department of Robotics and Automation D. Y. Patil College of Engineering Akurdi Pune India

The Elasticity property/Spring theory indicates that a long lasting spring is always showing small deflection and high stiffness and this property makes it comfortable for any applications. The present investigation deals with a comparative analysis carried out on the basis of sustainability of helical spring that is extensively used in suspension system, to increase the work efficiency of the shock absorber. A suspension system or a shock absorber is a mechanical device that is used to absorb shocks when riding in rough terrains. Stainless Steel grade (AISI316 & AISI302), High Carbon Steel (Music wire grade ASTM A228 & Hard drawn grade ASTM A227) and Alloy Steel (Chrome vanadium grade ASTM A231 & Chrome silicon grade ASTM A401) springs have been utilized throughout the study followed by applying compressive load. In order to enhance the mechanical property of the helical spring, alloy steel based material has been used instead of stainless steel. During this investigation a new shock absorber spring has been designed with the help of Solid Works software and the static structural analysis of the so formed model has been conducted via FEA. © Published under licence by IOP Publishing Ltd.

关键词： Finite element method

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A Teaching Mechanism of Supernumerary Robotic Limbs for Natural Human-robot Collaboration 8

A Teaching Mechanism of Supernumerary Robotic Limbs for Natu...

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8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Liu, Shiyang Luo, Jing Zeng, Chao Lei, Ting Yang, Chenguang School of Automation Wuhan University of Technology Wuhan430070 China University of Hamburg Department of Informatics Hamburg22527 Germany School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan430070 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798350300178

Supernumerary robotic limb (SRL) is an intelligent platform for providing assistance to humans at extreme conditions in natural human-robot collaboration (HRC) tasks. However, it is still difficult to control the SRL by using a simple way and to eliminate the cognitive burden placed on the human operator. of the human operator. Learning that the burden on human operators can be reduced by using Learning from Demonstrations (LfD) which learns repetitive teleoperation tasks. Our study introduces a method for teaching SRL that utilizes Dynamic Time Warping in combination with Gaussian Mixture Model and Gaussian Mixture Regression. The proposed mechanism utilizes a DTW algorithm to align and compare motion patterns between the human teacher and the SRL. Then, the GMM algorithm was applied to encode the motion patterns into statistical models. Additionally, these models are used to reate a task model that is applicable in a broad range of situations through the GMR method, which can be utilized to regulate the motion of SRL in real-time. The proposed mechanism is tested in experiments, and the results show that the SRL can accurately replicate the motion patterns with an average error of less than 10% for the HRC tasks. The proposed teaching mechanism has potential applications in fields such as rehabilitation and industrial automation, where the use of SRL can strengthen human capabilities and improve task efficiency. © 2023 IEEE.

关键词： Intelligent robots

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Analyzing BER Performance of 2x2, 3x3 and 4x4 MIMO Concatenated 8-PSK with and Without TCM Coding over Fading Channel Using Simulation Method 3

Analyzing BER Performance of 2x2, 3x3 and 4x4 MIMO Concatena...

引用

3rd IEEE international conference on Signal, control and Communication, SCC 2023

作者： Abdaljlil, Sana Ahmed Zerek, Amer R. Boiprav, Olga Elmezwghi, Albatool A. Sabratha University Sabratha Libya Libya Open University Tripoli Libya Belarusian State University of Informatics and Radioelectronics Information Protection Deprt. Minsk Belarus Electronic Technology Colleg Communications Department Tripoli Libya

ISBN: (纸本)9798350326390

M-ary Phase Shift Keying (M-ary PSK) is a critical digital modulation scheme used in modern wireless communication systems. It is considered one of the most important M-ary carrier techniques, as it efficiently transmits digital data over wireless channels. The utilization of a single symbol to encode multiple bits of data is instrumental in achieving enhanced data rates and spectral efficiency. This attribute plays a pivotal role in bolstering system performance and optimizing data rates without the need for expanding channel bandwidth. A modern technique employed in wireless communication systems, specifically multi-input multi-output (MIMO) systems, involves the use of orthogonal space-time block codes (OSTBC) to accomplish this objective. This work focuses on 2x2, 3x3 and 4x4 (MIMO systems concatenated with 8- phase shift keying (8-PSK) modulation, with and without trellis-coded modulation (TCM) coding. The performance of these systems is evaluated using simulation method. The results can guide the development of more efficient and reliable wireless communication systems. Therefore, the achieved outcome of 8-PSK modulation with TCM demonstrates superior Bit Error Rate (BER) performance when compared to employing uncoded 8-PSK. © 2023 IEEE.

关键词： Phase shift keying

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automationML-Based Digital Twin for a Holistic Data Exchange Between Virtual and Physical Robotic Cells 33rd

AutomationML-Based Digital Twin for a Holistic Data Exchange...

引用

33rd international conference on Flexible automation and Intelligent Manufacturing

作者： Babcinschi, Mihail Raffaeli, Roberto Bilancia, Pietro Neto, Pedro Pellicciari, Marcello Univ Coimbra Dept Mech Engn Coimbra Portugal Univ Modena & Reggio Emilia Dept Sci & Methods Engn Reggio Emilia Italy

ISBN: (纸本)9783031744815;9783031744822

Robot-based manufacturing cells exhibit strong capability in performing high customizable working cycles involving operations like machining, assembly, painting, welding and gluing. Designing and optimizing such systems require a holistic approach across domains like device layout, logical connections, control systems, and tasks. The automationML file format (AML) within the Reference Architectural Model Industrie (RAMI 4.0) framework enhances interconnection and interoperability among engineering tools but lacks established practices. This paper introduces AML for representing flexible manufacturing cells within the Product-Process-Resource paradigm. AML serves as a comprehensive representation of equipment, processed products, and manufacturing operations, aiding design, configuration, virtual simulation, and optimization before physical implementation. A software tool for robotic systems simulation and programming, i.e. RoboDK, is employed to generate customizable virtual prototypes based on AML content for streamlined simulation and assessment. The same AML file facilitates code transfer to physical cell control units. Demonstrated on a robotic deburring cell, this approach highlights AML's efficacy in data representation between virtual and physical environments, paving the way for digital twin mapping and enhanced manufacturing integration.

关键词： robotics Interoperability automationML RAMI 4.0 Simulation Offline Programming

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High-Resolution Synthetic Aperture Imaging Algorithm for Terahertz 3

High-Resolution Synthetic Aperture Imaging Algorithm for Ter...

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3rd international conference on Defence Technology, ICDT 2022

作者： Wang, Guanwen Liu, Zhaoyang School of Information Science and Engineering Shenyang University of Technology Shenyang110870 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110169 China Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing Shenyang110169 China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110169 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

The reconstruction and recovery of targets in the terahertz band has always been a direction for the improvement of synthetic aperture radar imaging algorithms. In order to improve the imaging resolution of the target, the scattering principle of electromagnetic waves to the target is analyzed. Through model establishment and formula derivation, the propagation process between the electromagnetic wave and the target is obtained, and the simulation and experiment verify that the corresponding algorithm can greatly improve the accuracy of target recovery. © Published under licence by IOP Publishing Ltd.

关键词： Electromagnetic waves

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Performance Indicators for the robotics Engineering Operational Scheduling 3

Performance Indicators for the Robotics Engineering Operatio...

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3rd IEEE international conference on Intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Maragathasundari, S. Jahnavi, G Meka. Vanalakshmi, R. Karthikeyan, K. Department of Engineering Mathematics Tamilnadu Chennai India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Krishnankoil India Sri Kaliswari College Department of Mathematics Tamilnadu Sivakasi India Velammal Institute of Technology Department of Mathematics Tamilnadu Chennai India

ISBN: (纸本)9798350361186

This study examines multi-stage robotic production line performance via queuing analysis to enable more accurate resource planning. It is one of a select few studies of this type designed to boost the efficiency of manufacturing robots with many stages. The goal of this study is to assist managers in increasing productivity and effectiveness while choosing the best policy for assembly systems. The study utilizes an analytical methodology based on actual data from a firm that manufactures robots. The process of making a robot involves several different processes, including identifying the problem, researching and designing the solution, developing a prototype, building the robot, programming and testing the robot, and ultimately assessing the robot. The necessary information for each workstation was gathered, and the Supplementary Variable approach was used to ascertain the processing component arrival and departure distribution statistics. The queueing analysis presented in this work serves as a foundation for predicting and analyzing production systems using metrics like utilization, the proportion of idle workstations, the number of batches in the system, the number of batches in the queue, the expected time spent in the queue, and the expected time spent in the system. © 2024 IEEE.

关键词： Robot programming

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Nested Deep Feature Attention Module for Underwater Image Enhancement 3

Nested Deep Feature Attention Module for Underwater Image En...

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3rd international conference on Computer, Big Data and Artificial Intelligence, ICCBDAI 2022

作者： Xiao, Yeqing Wang, Qiang Li, Yupeng Tang, Yandong School of Computer Science and Engineering Shenyang Jianzhu University Shenyang110168 China Key Laboratory of Manufacturing Industrial Integrated Shenyang University Shenyang110044 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

The captured underwater images always suffer degradations because of absorption and light scattering in water. Thus, underwater image enhancement becomes indispensable as a precondition to carry out underwater tasks. Thus, we put forward an end-to-end structure to solve the problem of underwater image degradation. Our network uses continuously stacked deep-layer feature extraction modules to exploit more significant features. For purpose of enhancing the image contrast, we recover high-frequency information by hiring the nested residual attention groups in feature extraction modules, which can adaptively extract more deeper features. Moreover, channel attention module is hired in residual groups to emphasize important information. Comparing with other state-of-the-art approaches, our network performs best on quantitative and qualitative evaluations at datasets EUVP and UIEBD. © Published under licence by IOP Publishing Ltd.

关键词： Feature extraction

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