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检索条件"任意字段=10th International Conference on Tools and Algorithms for the Construction and Analysis of Systems"

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Pioneering Sustainable Transportation: SRM Motor Optimization for Enhanced Electric Vehicle Dynamics

Pioneering Sustainable Transportation: SRM Motor Optimizatio...

引用

international conference on Electrical Energy systems (ICEES)

作者： Jayabalu Cheri Prabhu Sundaramoorthy Department of Electrical and Electronics Engineering Mohan Babu University Tirupati India

ISBN: (数字)9798350353778

ISBN: (纸本)9798350353785

the SRM motor exhibits several advantageous features, including simple construction, high torque density, low production costs, and high operating efficiency. However, it is not without its drawbacks, such as the torque ripple effect, noise generation, and difficulties in control. To comprehensively evaluate its performance, a comparative investigation was conducted among various configurations, including the standard SRM, SRM with electromagnetic analysis, SRM with thermal analysis, vibrational analysis, and electromagnetic material optimization. the parameters examined encompassed currents, torque, flux linkage on load, E-NVH model, time harmonics-1D, force density vs mechanical angle characteristics, space order vs rotation angle characteristics, B-H curve, loss characteristics, torque angle characteristics, and harmonic order vs harmonic amplitude characteristics. Additionally, a polar plot was employed in the analysis. All these machines were modeled and analyzed under a common set of specifications, including a supply voltage of 60V, rated current of 15A, rated power of 3KW, and rated speed of *** results of the comparative analysis indicate that the SRM stands out as superior compared to other motors, making it well-suited for electric vehicle (EV) applications.

关键词： Torque Noise Motors Harmonic analysis Silicon thermal analysis Finite element analysis Reluctance motors Optimization Load modeling

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IMSC 2021 - Russian Advances in Fuzzy systems and Soft Computing: Selected Contributions to the 10th international conference on "Integrated Models and Soft Computing in Artificial Intelligence"

IMSC 2021 - Russian Advances in Fuzzy Systems and Soft Compu...

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Russian Advances in Fuzzy systems and Soft Computing: Selected Contributions to the 10th international conference on "Integrated Models and Soft Computing in Artificial Intelligence", IMSC 2021

the proceedings contain 46 papers. the topics discussed include: metagraphs with time-logical restrictions;inference method and tuning of a neuro-fuzzy system with fuzzy inputs on a graphic processor;the problem of possibility-probability optimization with constraints on the possibility/necessity-probability and probability-possibility/necessity;learning an ontology of text data;development of a system for finding extremist texts;an approach to building a probabilistic model of spreading a social engineering attack between two users;models of explanation in intelligent data analysis;ontological infrastructures for intelligent problem solving;and spatial modeling of resources, events and situations in complex dynamic systems by methods and tools of cognitive semiotics and geoinformatics.

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Determination of the Real Percentages of Fuel Expansion in the Automotive Sector Influenced by Ambient Temperatures in a City 50 m. Above Sea Level, Using thermographic tools 10th

Determination of the Real Percentages of Fuel Expansion i...

引用

10th international conference on Science, Technology and Innovation for Society, CITIS 2024

作者： Fierro, Pablo Renato Martínez, Leonel Guevara, Cristian Guayaquil Ecuador Madrid Spain

ISBN: (纸本)9783031870644

In this article, a study is carried out in a city of 50 m. Above sea level, on the volumetric expansion of 87 and 92-octane gasoline and diesel fuel (named: Ecopais, Super, and Diesel) inside the tanks. the aim is to determine the volume variations due to temperature changes. the justification is based on the lack of specific information on the subject. the proposed methodology includes a mathematical model supported by thermographic analysis experiments to visualize the dilatation of fuels. A volume variation of up to 0.55% was evidenced in the fuel tanks as a result of ambient temperature fluctuations. However, the use of thermographic tools as a measurement method does not facilitate the detection of this volumetric variation in the tanks;it depends on the volume and camera capacities. Using Pearson’s index shows that the correlation is direct, and the influence of temperature affects the perception of volume. © the Author(s) 2025.

关键词： Expansion fuel Infrared thermography Temperature

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10th international Congress on Telematics and Computing, WITCOM 2021

10th International Congress on Telematics and Computing, WIT...

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10th international Congress on Telematics and Computing, WITCOM 2021

ISBN: (纸本)9783030895853

the proceedings contain 19 papers. the special focus in this conference is on Telematics and Computing. the topics include: Methodological Proposal for Privilege Escalation in Windows systems;Satisfaction of Members of a Facebook Group with the Credible Information Provided to Reduce Medical Misinformation in Obstetrics During the COVID-19 Pandemic in Peru;content Distribution and Storage Based on Volunteer and Community Computing;classification of Cardiac Arrhythmias Using Machine Learning algorithms;Performance analysis of S-ALOHA Protocol Under Pareto Distributed Packet Arrival;learning through Interactive Vicarious and Social Experiences, an Alternative to Developing Teaching Training Processes in Ict Skills;analysis of User Generated Content Based on a Recommender System and Augmented Reality;an Improved Riesz s-Energy-Based Archive to Handle Dominance Resistant Solutions;analysis of the Level of Geographic Criminal Risk Oriented to Women;mexican Edaphology Database;security Incident Classification Applied to Automated Decisions Using Machine Learning;integration of Rural and Urban Training in Teachers, Students and Older Adults in Computer Security Mediated by Technology;accuracy Comparison Between Deep Learning Models for Mexican Lemon Classification;detection of Covid-19 by Applying a Convolutional Artificial Neural Network in X-ray Images of Lungs;Scientific Literature Review for the Search of Vulnerabilities and Pentesting tools for SCADA System;automatic Diagnosis of Cardiovascular Diseases Using Electrocardiogram Data and Artificial Intelligence algorithms: A Systematic Review;optic Disc and Optic Cup Segmentation Using Polar Coordinate and Encoder-Decoder Architecture.

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Multi-Model based Additive Manufacturing: A framework for automated large-scale 3D concrete printing with industrial robots*

Multi-Model based Additive Manufacturing: A framework for au...

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IEEE international conference on Automation Science and Engineering (CASE)

作者： Lukas Lachmayer Tobias Recker Virama Ekanayaka André Hürkamp Annika Raatz Insititute of Assembly Technology and Robotics Leibniz University Hannover Garbsen Germany Institute of Machine Tools and Production Technology Technische Universität Braunschweig Braunschweig Germany

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

With the advent of concrete additive manufacturing in construction (AMC), three new challenges have arisen in planning, automatizing, and controlling 3D printing processes and systems. Firstly, most manufactured construction components are single-walled elements such as walls, hollow columns, or pillars. In contrast to common design rules for AM processes, these require explicit print path planning with a wall thickness equal to a single layer width. Secondly, the printing materials - fresh concrete, mortar, or earth - provide a protracted time-dependent compressive strength development. this behavior must be explicitly considered during print path design to prevent component collapse caused by excessive compression loads. thirdly, there is a significant challenge emerging from the required component size. Printing on a building scale level requires large or even mobile on-site printing systems. Such systems generally do not provide an enclosed workspace to protect the printing process from environmental influences. Environmental influences however affect the material behavior while printing, leading to deviations between as-planned and as-built layer *** publication presents a framework tackling the three challenges by incorporating path planning for components with single-layer wall thickness, considering time-dependent material behavior, and compensating for external influences. the framework extends state-of-the-art path planning and printing control approaches to enable automatized robotic additive manufacturing processes in construction. As part of the framework we specifically contribute a path planning algorithm for the 2.5D and 3D production of single-walled components, algorithmic coupling of path planning and FEM simulation to predict and ensure component stability, and an online control approach to compensation for environmental disturbances. the framework was tested by printing a column with a footprint of approximately 1.5 m 2 and a heig

关键词： three-dimensional displays Mortar Process control Production three-dimensional printing Prediction algorithms Approximation algorithms Path planning Stability analysis Planning

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Hybrid HVAC-HVDC Grid Fault Detection & Classification Using ANN

Hybrid HVAC-HVDC Grid Fault Detection & Classification Using...

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international conference on Smart Computing & Communications (ICSCC)

作者： Zhe Ming Wong Ing Ming Chew W.K. Wong Saaveethya Sivakumar Filbert H. Juwono Bachelor of Elec. & Electr. Eng. Curtin University Malaysia Miri Malaysia Dept. of Elec. & Comp. Eng. Curtin University Malaysia Miri Malaysia Dept. of Elec. & Electr. Eng. Xi'an Jiaotong - Liverpool University Suzhou China

ISBN: (数字)9798350363104

ISBN: (纸本)9798350363111

this paper presents a novel approach to fault detection and diagnosis in hybrid grid systems by integrating Travelling Wave (TW) analysis with Artificial Neural Networks (ANNs). the TW techniques is advocated in replacing conventional fault detection to capture fault behaviour, credited to their sensitivity to grid disturbances and ability to provide spatial information crucial for fault localization. Moreover, the adoption of ANNs is justified by their capability to handle non-linear and complex systems. this paper outlines the construction of a hybrid HVAC-HVDC grid system, focusing on a bipolar HVDC link and rectifying VSC stations. the presented ANN model is trained with TW fault data extracted from the simulation, achieving high performance in fault detection and classification with an overall accuracy of 96.25%. the implications of these findings for practical implementation in hybrid power industries reflects their contribution to stability and protection in hybrid grid systems.

关键词： Fault detection Simulation Artificial neural networks Predictive models Power system stability Hybrid power systems Stability analysis Power industry Sensors Protection

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Towards Handling Bias in Intelligence analysis with Twitter

Towards Handling Bias in Intelligence Analysis with Twitter

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international conference on Data Science and Advanced Analytics (DSAA)

作者： Alexandros Karakikes Panagiotis Alexiadis theocharis theocharopoulos Nikolaos Skoulidas Dimitrios Spiliotopoulos Konstantinos Kotis Dept. of Cultural Technology and Communication Intelligent Systems Lab University of the Aegean Mytilene Greece Faculty of Humanities University of the Aegean Rhodes Greece Department of Management Science and Technology University of the Peloponnese Tripoli Greece

Bias identification and mitigation in the Twitter ecosystem has been lately researched towards achieving a more efficient utilization of the application by different stakeholders and for a wide area of purposes. Among these stakeholders, intelligence services worldwide, collectively called the Intelligence Community (IC), tend to use Twitter, supplementarily to their pre-existent disciplines, for monitoring areas of interest and identifying emerging social, political and security trends/threats. Over time, the IC has identified bias as the major obstacle in information analysis, thus it has developed scientific and empirical methods for bias mitigation, in parallel to those developed by the information and communication technology (ICT) and artificial intelligence (AI) community. As it becomes apparent, it is to both communities’ interest to accurately trace bias and ideally eradicate or moderate its effects. In this paper we draw systemic parallels between Intelligence analysis (IA) and Twitter Analytics (TA), comparatively examine existing bias mitigating methodologies to pinpoint similarities/dissimilarities, and utterly investigate the feasibility of adapting and adjusting methodologies from the first field to the latter. Furthermore, we propose a novel framework for AI-augmented bias mitigation in the IC. Finally, we propose methods and tools, already adapted by the ICT community, for efficiently supporting bias mitigation methodologies adapted by the IC.

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Smart Broiler Chicken Weighing System Utilizing the STM32 Microcontroller

Smart Broiler Chicken Weighing System Utilizing the STM32 Mi...

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Electrical Engineering and Mechatronics Technology (ICEEMT), IEEE international conference on

作者： Bin Gao Yongmin Guo Yali Ma Changxi Chen Key Laboratory of Smart Breeding (Co-construction by Ministry and Province) Ministry of Agriculture and Rural Affairs Tianjin China College of Computer and Information Engineering Tianjin Agricultural University Tianjin China

ISBN: (数字)9798350356472

ISBN: (纸本)9798350356489

the smart broiler chicken weighing system, based on the STM32 microcontroller, aims to eliminate inefficiencies, errors, and high labor costs linked to traditional weighing processes. Centered around the STM32F103ZET6 main controller, the system is divided into hardware and software components. the hardware design incorporates RFID for identity recognition, HX711 for weight acquisition, ATKESP8266 WiFi module for cloud and mobile app connectivity, and TFTLCD display module for real-time weight display. Software development encompasses integrating with cloud platforms, implementing mobile apps, and designing data calibration filtering algorithms. Internal communication uses UART for module communication and SPI for RFID and HX711 weight modules, employing a median averaging filtering algorithm to enhance data accuracy and stability. Experimental results demonstrate the system’s ability to collect, process, and transmit broiler chicken weight data in real-time accurately, providing efficient and intelligent monitoring and management tools for broiler farming.

关键词： Cloud computing Costs Microcontrollers Filtering algorithms Real-time systems Hardware Stability analysis Mobile applications Wireless fidelity Farming

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Modeling and Simulation: Manufacturing of a wheel

Modeling and Simulation: Manufacturing of a wheel

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international conference on Control, Decision and Information Technologies (CoDIT)

作者： Murat Türkan Lale Canan Dülger Cagri Unal Begüm Acar Mech. Eng. İzmir Unv. of Economics İzmir Turkey Jantsa Wheel Ind. Efeler Aydin Turkey

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

this study presents the numerical analysis of the joining of the rim and disc parts of a heavy vehicle wheel using the submerged arc welding method. A wheel model was created in real dimensions and in 3D. the welding process was modeled with heat input to the parts determined according to the welding feed rate. It was observed that the residual stresses and the deformation in the weld zone both increased significantly with the increase of the heat input. these residual stresses combine with the influence of external loads under operating conditions. they do adversely affect the fatigue strength of the construction. It was therefore concluded that heat input should be controlled during the manufacturing process.

关键词： Heating systems three-dimensional displays Tensile stress Deformation Welding Wheels Fatigue Numerical models Residual stresses Load modeling

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Risk analysis of Developing Lifestyle-Related Diseases Based on the Content of Social Networking Service Posts 10th

Risk Analysis of Developing Lifestyle-Related Diseases Base...

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10th KES international conference on Innovation in Medicine and Healthcare, KES-InMed 2022

作者： Tabuchi, Naomichi Matsumoto, Kazuyuki Yoshida, Minoru Nishimura, Ryota Kita, Kenji Graduate School of Sciences and Technology for Innovation Tokushima University Tokushima Japan Faculty of Science and Technology Tokushima University Tokushima Japan

ISBN: (纸本)9789811934391

Japan’s leading causes of death are cancer, cardiovascular disease, and diabetes, which account for approximately 60% of all deaths. All these diseases are closely related to lifestyle habits such as diet, exercise, and sleep and are called lifestyle-related diseases. Lifestyle-related diseases are characterized by a lack of subjective symptoms, making it difficult to notice the deterioration of the disease. In this study, we analyzed tweets related to diet, exercise, physical condition, and mental condition from the contents posted by users on social networking services (SNS) to construct a system that can prevent lifestyle-related diseases more simply. We found that the results of this work can lead to the construction of a system than can detect risk factors leading to the development of lifestyle-related diseases, from the contents of users’ posts. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk analysis

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