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Use of Modern Educational Technologies in the Electrical Engineers and Electromechanics Preparation by a Blended Learning system 20

Use of Modern Educational Technologies in the Electrical Eng...

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20th IEEE International conference on Modern Electrical and Energy systems, MEES 2021

作者： Lesia, Sakun Yulia, Viedienina Kateryna, Mazharenko Lyudmyla, Riznichenko Yakimets, Serhiy Maksym, Kovalenko Kremenchuk Mykhailo Ostrohradskyi National University Management Dept. Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Electrical Engineering Department Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Student of Group MN-19-1 Kremenchuk Ukraine

ISBN: (纸本)9781665423663

An integrated approach to the introduction of the latest educational technologies with the use of interactive forms of education in the electrical engineers and electromechanics preparation in a blended learning system is proposed. It has been proven that the use of simulation and game modeling, virtual laboratory workshops, case technologies in the study of the training course «Power Plants» will help to form professional competencies, help to understand the main directions and patterns of electrical energy at various types of power plants and help to understand ways to save fuel and energy resources, methods and ways of solving topical issues of energy supply in energy systems. An example of the use of methodological and software ensuring, pedagogical techniques and tools that will allow performing all types of load in the study of professional discipline by future specialists in the field of electrical engineering, electric power engineering and electromechanics is given. the research results can be used in the educational process in the formation of information and professional competencies of specialists in the field of electrical engineering, electric power engineering and electromechanics. © 2021 IEEE.

关键词： Learning systems

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An Integrated Approach for Motion Law optimization in Partially Compliant Slider-Crank Mechanisms 20

An Integrated Approach for Motion Law Optimization in Partia...

引用

20th International conference on Advanced Robotics (ICAR)

作者： Baggetta, Mario Bilancia, Pietro Pellicciari, Marcello Berselli, Giovanni Univ Genoa Genoa Italy Univ Modena & Reggio Emilia Modena Italy

ISBN: (纸本)9781665436847

Servo-Actuated Mechanisms (SAM) are capable of improving the flexibility and reconfigurability of modern automatic machines. On one hand, as compared to fully mechanical drives, SAM may suffer from non-negligible positioning inaccuracies, whose effect can become unacceptable in case of undesired part deformations during high dynamic motions. On the other hand, it may be the case that parts of the system are purposely designed to provide an highly compliant behaviour, so as to potentially increase the device safety in case of interaction with humans. In both cases, practical strategies to reduce the SAM positioning errors are necessary. As a possible solution to such issue, in this paper, an integrated approach to improve the accuracy of a partially compliant SAM in position-controlled tasks is described. the method exploits a multi-software framework comprising Matlab and RecurDyn, namely a commercial Computer-Aided Engineering (CAE) tool that can be used to simulate the motion of systems comprising both rigid and flexible bodies. Starting from an initial, sub-optimal, motion law of the input link, a trajectory optimizer iteratively runs the CAE solver and automatically computes an optimal, compensated, position profile. the obtained results show that the method may represent a useful tool for analyzing/designing partially compliant SAM, whenever analytical models are either too complex or not readily available.

关键词： MATLAB

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PIPE: Process Informed Parameter Estimation, a learning based approach to task generalized system identification

PIPE: Process Informed Parameter Estimation, a learning base...

引用

IEEE International conference on Automation Science and Engineering (CASE)

作者： Constantin Schempp Christian Friedrich Department of Mechanical Engineering and Mechatronics Karlsruhe University of Applied Sciences (HKA) Germany

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

We address the problem of robot guided assembly tasks, by using a learning-based approach to identify contact model parameters for known and novel parts. First, a Variational Autoencoder (VAE) is used to extract geometric features of assembly parts. then, we combine the extracted features with physical knowledge to derive the parameters of a contact model using our newly proposed neural network structure. the measured force from real experiments is used to supervise the predicted forces, thus avoiding the need for ground truth model parameters. Although trained only on a small set of assembly parts, good contact model estimation for unknown objects were achieved. Our main contribution is the network structure that allows us to estimate contact models of assembly tasks depending on the geometry of the part to be joined. Where current system identification processes have to record new data for a new assembly process, our method only requires the 3D model of the assembly part. We evaluate our method by estimating contact models for robot-guided assembly tasks of pin connectors as well as electronic plugs and compare the results with real experiments.

关键词： Solid modeling three-dimensional displays Parameter estimation Neural networks Predictive models Feature extraction system identification Pins Assembly Robots

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Computationally Efficient Multi-Agent optimization Framework for Online Routing of UAV-UGV system

Computationally Efficient Multi-Agent Optimization Framework...

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IEEE International conference on Automation Science and Engineering (CASE)

作者： Subramanian Ramasamy Md Safwan Mondal James D. Humann James M. Dotterweich Jean-Paul F. Reddinger Marshal A. Childers Pranav A. Bhounsule Department of Mechanical and Industrial Engineering University of Illinois Chicago IL USA DEVCOM Army Research Laboratory Los Angeles CA USA DEVCOM Army Research Laboratory Aberdeen MD USA

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Unmanned Aerial Vehicles (UAVs) have the ability to monitor vast areas but are limited in their battery capacity. the collaboration with Unmanned Ground Vehicles (UGVs) can significantly enhance the endurance and potential of UAVs by utilizing them as mobile recharging vehicles. However, such collaboration increases the complexity of planning the routes of the vehicles. For practical applications, it’s crucial to efficiently develop high-quality UGV-UAV routing solutions within a reasonable time frame and quickly adapt those routes to changing conditions, if any. In this paper, we propose an improved method for multi-agent optimization framework that provides computationally efficient online UGV-UAV route solutions. the effectiveness of the optimization framework is validated with several scenarios by comparing it across standard meta-heuristic baselines like the Genetic Algorithm in simulation. the proposed framework produces near-optimal solutions that are computed 40% faster than the baseline while maintaining the solution quality within 2%. Additionally, the framework’s computational efficiency is validated using hardware (http://***/ngjkxz), demonstrating its ability to do online planning when mission points are dynamically added or removed from the scenario.

关键词： Surveillance Metaheuristics Collaboration Predictive models Routing Hardware Computational efficiency Planning Vehicle dynamics Standards

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Evolutionary Continuous optimization of Hybrid Gene Regulatory Networks 1

引用

15th Biennial International conference on Artificial Evolution, EA 2022

作者： Michelucci, Romain Comet, Jean-Paul Pallez, Denis Université Côte d’Azur CNRS I3S Sophia Antipolis France

ISBN: (数字)9783031426162

ISBN: (纸本)9783031426155

the study of gene regulatory networks (GRNs) allows us to better understand biological systems such as the adaptation of the organism to a disturbance in the environment. Hybrid GRNs (hGRNs) are of interest because they integrate the continuous time evolution in GRN modeling which is convenient in biology. this study focuses on the problem of identifying the variables of hGRN models. In a large-scale case, previous work using constraint-based programming has failed to solve the minimal constraints on such variables which reflect the biological knowledge on the system behavior. In this work, we propose to transform a Constraint Satisfaction Problem (CSP) into a Free optimization Problem (FOP) by formulating an adequate fitness function and validate the approach on an abstract model of the circadian cycle. We compare several continuous optimization algorithms and show that these first experimental results are in agreement with the specifications coming from biological expertise: evolutionary algorithms are able to identify a solution equivalent to the ones found by continuous constraint solvers. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Constraint satisfaction problems

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Joint Resource Allocation and Link Adaptation for Ultra-Reliable and Low-Latency Services

Joint Resource Allocation and Link Adaptation for Ultra-Reli...

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Consumer Communications and Networking conference, CCNC IEEE

作者： Md Arman Hossen thang X. Vu Van-Dinh Nguyen Symeon Chatzinotas Björn Ottersten Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg College of Engineering and Computer Science VinUniversity Hanoi Vietnam

With the emergence of ultra-reliable and low latency communication (URLLC) services, link adaptation (LA) plays a pivotal role in improving the robustness and reliability of communication networks via appropriate modulation and coding schemes (MCS). LA-based resource management schemes in both physical and medium access control layers can significantly enhance the system performance in terms of throughput, latency, reliability, and quality of service. Increasing the number of retransmissions will achieve higher reliability and increase transmission latency. In order to balance this trade-off with improved link performance for URLLC services, we study a joint subcarrier and power allocation problem to maximize the achievable sum-rate under an appropriate MCS. the formulated problem is mixed-integer nonconvex programming which is challenging to solve optimally. In addition, a direct application of standard optimization techniques is no longer applicable due to the complication of the effective signal-to-noise ratio (SNR) function. To overcome this challenge, we first relax the binary variables to continuous ones and introduce additional variables to convert the relaxed problem into a more tractable form. By leveraging the successive convex approximation method, we develop a low-complexity iterative algorithm that guarantees to achieve at least a locally optimal solution. Simulation results are provided to show the fast convergence of the proposed iterative algorithm and demonstrate the significant performance improvement in terms of the achievable sum-rate, compared with the conventional LA approach and existing retransmission policy.

关键词： system performance Ultra reliable low latency communication Programming throughput Encoding Resource management Iterative methods

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STUDY OF LINEAR ELECTRIC MOTOR MAGNETIC system OF HAND-HELD ELECTRIFIED TOOL 20

STUDY OF LINEAR ELECTRIC MOTOR MAGNETIC SYSTEM OF HAND-HELD ...

引用

20th International Scientific conference on Engineering for Rural Development

作者： Antonov, Sergey Stavropol State Agr Univ Stavropol Russia

In modern gardening, there are many technological processes that use hand tools. these processes account for about 40% of the labor costs in the process of gardening. In this regard, the cost of horticultural products increases, which affects their competitiveness in the market economy. the use of an electrified or mechanized tool will improve the production efficiency and reduce the cost of horticultural products. Currently, hydraulic and pneumatic drives are widely used. However, these drives have many disadvantages that lead to a decrease in the efficiency of the installations. therefore, the electric drive is increasingly used. the existing electrified tool uses a DC motor as an electric drive. the most unreliable element of the motor is the brush mechanism. the use of a linear electric motor for the drive of the tool will increase its operational reliability and energy efficiency. this is possible due to the advantages of the linear electric drive, such as simplification of the mechanical part, increased speed and positioning accuracy of the electric motor armature. the proposed electric drive is characterized by low noise level and ease of maintenance. this stage in the development of a linear electric drive is characterized by a small range of tasks to be solved. the proposed design of a linear electric motor will allow, in general, to consolidate the possibility of its use in agricultural production, and in particular for a hand-held electrified tool for caring for a garden. Modern design of electrical devices should use existing software systems for modeling magnetic systems. this will make it possible to more effectively solve the problem of increasing the efficiency of the magnetic system of the electric motor. To study the magnetic system of a linear electric motor, we use the ElCut program. the aim of the study is to optimize the magnetic system of the linear electric motor of a hand-held electrified tool. this will increase the force generated by the m

关键词： lopper electromagnet electric motor coil flux induction gardening pruning

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Advanced Energy-Efficient system for Precision Electrodermal Activity Monitoring in Stress Detection

Advanced Energy-Efficient System for Precision Electrodermal...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Ruoyu Zhang Ruijie Fang Elahe Hosseini Chongzhou Fang Ning Miao Houman Homayoun University of California Davis

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

this paper presents a novel Electrodermal Activ-ity (EDA) signal acquisition system, designed to address the challenges of stress monitoring in contemporary society, where stress affects one in four individuals. Our system focuses on enhancing the accuracy and efficiency of EDA measurements, a reliable indicator of stress. Traditional EDA monitoring solutions often grapple with trade-offs between sensor placement, cost, and power consumption, leading to compromised data accuracy. Our innovative design incorporates an adaptive gain mechanism, catering to the broad dynamic range and high-resolution needs of EDA data analysis. the performance of our system was extensively tested through simulations and a custom Printed Circuit Board (PCB), achieving an error rate below 1 % and maintaining power consumption at a mere $\mathbf{700}\mu \mathbf{A}$ under a 3. $7\mathbf{V}$ power supply. this research contributes significantly to the field of wearable health technology, offering a robust and efficient solution for long-term stress monitoring.

关键词： Sensor placement Power demand Accuracy Error analysis Printed circuits Reliability Integrated circuit modeling Stress Monitoring Stress measurement

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On the modeling of Tendon-Driven systems: a Literature Review

On the Modeling of Tendon-Driven Systems: a Literature Revie...

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IEEE/ASME International conference on Mechtronic and Embedded systems and Applications, MESA

作者： Mario Baggetta Alberto Rittore Giovanni Berselli DIME University of Genoa Genoa Italy Phase Motion Control Genoa

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

Tendon-driven systems have become popular and efficient solutions for remotely positioning motors and actuation systems in various mechanisms. they address specific needs such as reducing the weight and inertia of moving components and minimizing their dimensions. Tendon-actuated systems offer benefits like low cost and the absence of backlash, leading to significant interest in tendon modeling within the scientific community. this interest spans from analytical solutions with inextensible tendons to computer-aided engineering (CAE) approaches utilizing tendons as deformable elements. However, developing tendon-based actuation systems through CAE tools has been limited due to substantial computational requirements and the challenge of obtaining reliable, technically applicable results. Finite element analysis (FEA) becomes complex and unsuitable for the design phase due to the significant deformation and displacement resulting from tendons’ flexible behavior. Consequently, research into robotic systems actuated by tendons typically relies on analytical calculus and data from costly prototypes, requiring significant time and investment. Moreover, incorporating soft structures makes creating a comprehensive analytical model of the entire system in three-dimensional space daunting or even impossible, particularly with more complex soft structures, thus making FEA analysis the only viable approach. this work reviews the main solutions explored in the literature for solving these systems, aiming to provide designers with a broader view of the possible techniques that can be used based on the specific application.

关键词： Analytical models Mechatronics Reviews Prototypes Motors Finite element analysis Reliability system analysis and design Robots Tendons

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Virtual Reality for Railway Signaling system Training

Virtual Reality for Railway Signaling System Training

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International conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Pisit Vanichchanunt Tanakorn Tanmalaporn Chatchai Suthamvijit Suebphong Noisri Lunchakorn Wuttisittikulkij Witthawas Pongyart Sukritta Paripurana Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand

the railway signaling system is an important part of the rail systems that is used for railway traffic control and safety. At present, most of railway signaling labs rely on physical models and devices which require large space and regular maintenance. Emerging of Virtual Reality (VR) offers more flexibility to many applications including education, training, and testing since its operations are based on software and visualization. Using VR allows installation, updating, adjustment and maintenance to be performed more easily and effectively with effective cost, time, and space requirement. this paper aims to develop a virtual reality lab for training in railway signaling and control. the VR lab of railway signaling simulation consists of two stations, trains, tracks, a virtual dashboard and signaling posts including point machines. All models used in this paper are created by Blender which is a free software tool for 3D modeling. the VR environment of the lab is created by Unity which is a software platform for VR development. the functions of all developed models are programed using C# language. the basic route setting and the usage of subsidiary signal e.g., call-on and shut signal are demonstrated in this paper. the test results ensure the capability of the developed VR lab for training the target groups including students, engineers, and train drivers.

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