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检索条件"任意字段=International Conference on Data and Knowledge Systems for Manufacturing and Engineering"

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A Digital Twin Based Residual Stress Prediction Method for Turbine Blades 2

A Digital Twin Based Residual Stress Prediction Method for T...

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2023 2nd international conference on Aerospace, Aerodynamics and Mechatronics engineering, AAME 2023

作者： Mou, Sheng Bu, Kun Liu, Jun Ren, Shengjie Zhang, Ruiyuan Bai, Boxian Key Laboratory of High-Performance Manufacturing for Aero Engine Ministry of Industry and Information Technology Northwestern Polytechnical University Shaanxi Xi'an710072 China

The investment casting process is the conventional method for manufacturing turbine blades, and the residual stress generated through this process is widely regarded as a critical factor that markedly impacts the quality and serviceability of turbine blades. However, real-time measurement of residual stress is extremely complex and expensive, especially for single-crystal turbine blades. Current experimental measurement techniques such as X-ray or neutron diffraction can only measure residual stresses at specific points or within a very small area. Studies on residual stress of turbine blades are mainly performed by finite element (FE) simulation, but the accuracy is difficult to guarantee due to the inability to establish accurate mathematical models for complex physical systems. To address this issue, this paper proposes utilizing a digital twin (DT) model to predict residual stresses in turbine blades. By combining real-time sensor and FE simulation data, the DT model is able to update and correct the mathematical models, resulting in more accurate predictions compared to traditional FE simulations. © Published under licence by IOP Publishing Ltd.

关键词： Turbomachine blades

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An Al Powered Exam Proctoring: Comprehensive Monitoring for Integrity

An Al Powered Exam Proctoring: Comprehensive Monitoring for ...

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knowledge engineering and Communication systems (ICKECS), international conference on

作者： Dhruv Mewada Shlok Gaikwad Bhavika Gharat Priyanshu Kamble Dept. of Artificial Intelligence&Data science Vidyavardhini’s College of Engineering and Technology Mumbai India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

In recent times, remote learning has experienced significant growth, yet the challenge of conducting academic examinations in a secure manner persists. Various approaches have been adopted by universities, such as collecting assignments susceptible to plagiarism or implementing remote proctoring with manual supervision. As our current lifestyle appears to be transitioning towards a new normal, it becomes imperative to explore effective solutions. This paper introduces a proposed remedy: the development of an AI-based integrated system designed to prevent cheating during examinations. The system not only detects fraudulent activities but also records evidence, ensuring both security and cost-effectiveness.

关键词： knowledge engineering Technological innovation Distance learning Face recognition Plagiarism Speech recognition Manuals

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Performance of MIMO-GFDM scheme for Future Wireless Communications

Performance of MIMO-GFDM scheme for Future Wireless Communic...

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knowledge engineering and Communication systems (ICKECS), international conference on

作者： R. Anil Kumar R. Prakash Kumar Sarala Patchala U. Sreenivasulu Electronics and Communication Engineering Aditya College of Engineering and Technology Surampalem India Electronics and Communication Engineering CVR College of Engineering Hyderabad India Electronics and Communication Engineering SRKR Engineering College Bhimavaram India Electronics and Communication Engineering KKR & KSR Institute of Technology and Sciences Guntur India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

Wireless Technology became more popular from couple of decades. Modern Technologies such as Mobile Broad Band Communications, Ultra Low Latency Communications and Internet of Things purely depends on Wireless technologies. The use of set of antennas at User Equipment and/or Base Station improves the User Capacity, Bit Error Rate, Spectral Efficiency and data Rates. Current research on Generalized Frequency Division Multiplexing Technique combined with Multi-Input Multi-Output (MIMO systems) gives good resource allocation and better signal strengths over the existing Orthogonal Frequency Division Multiplexing (OFDM). This paper explains the performance of MIMO-GFDM in an ultradense multipath environment with affordable complexity by considering Uplink scenario at User Equipment (UE). The simulation results such as Spectral Efficiency, User Capacity, Bit Error Rate and data rates are calculated for different set of antenna systems.

关键词： Wireless communication Time-frequency analysis Spectral efficiency OFDM Bit error rate Symbols Frequency division multiplexing

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Effective Application of Smart Tourism Management using Java Platform

Effective Application of Smart Tourism Management using Java...

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Intelligent systems and Computational Networks (ICISCN), international conference on

作者： Zihan Ji Tengfei Xu Weijia Yan College of Culture and Tourism Shandong Business Institute Yantai China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

Recently, tourism management is the primary concern in worldwide. This is significant to produce characteristics of tourism for travelers, so the digital facilitates tourism business scheduling. Presently, there is lock of techniques which are capable to manage affairs of tourism business. Hence, in this manuscript the smart tourism management system is developed by multiple resource data visualization-enabled knowledge identification. So, in this manuscript developed the web-based product utilized for storing information of city and supports whole users who visited the website. The website includes whole data about specific places for visiting data about organization which give transport, hospital and whole historical city. This website existence to whole persons and utilized through people having common knowledge about internet. Whether user is student are in required of downloading the materials relevance to its studies to provide data about college institutions and coaching centers in city. Whether user is the businessman to provide data about type of business. In case tourism for knowing about tourism place for visiting hospital facilities and job seekers require to provide data about existence job information.

关键词： knowledge engineering Java Costs Hospitals Processor scheduling Urban areas data visualization Organizations Scheduling Intelligent systems

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Virtual and Augmented Reality in manufacturing Companies in Slovakia

Virtual and Augmented Reality in Manufacturing Companies in ...

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13th international conference on Ambient systems, Networks and Technologies, ANT 2022 / 5th international conference on Emerging data and Industry 4.0, EDI40 2022

作者： Balco, Peter Bajzík, Peter Škovierová, Klára Faculty of Management Comenius University in Bratislava Odbojárov 10 P.O.BOX 95 Bratislava25 82005 Slovakia

Virtual and augmented reality technologies are gaining a stable presence in many industries, while supporting the efficiency and productivity of individual business processes. Education, virtual prototyping, production system design, remote maintenance, digital twin scenario simulations, digital tutorials are areas in which these technologies have found their place and at the same time record visible development. These are solutions that shorten product development time, reduce prototyping costs, streamline training and assembly processes, and can be used as a decision support tool through simulations of various production scenarios. Slovakia, as a pre-developed country, has the ambition to implement modern technologies in industry and education. Reflecting on this strategy, the aim of our paper was to quantify and analyze the level of knowledge and interest in these technologies in Slovak manufacturing companies. © 2022 Elsevier B.V.. All rights reserved.

关键词： Augmented reality manufacturing Virtual reality

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System Architecture of Intelligent Learning Advisor System with data Analytics Services

System Architecture of Intelligent Learning Advisor System w...

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IISE Annual conference and Expo 2022

作者： Yoo, John Gayke, Kaustubh Balachandranath, Preamnath Saboury, Saeed Department of Industrial & Manufacturing Engineering & Technology Bradley University PeoriaIL61625 United States Department of Computer Science and Information Systems Bradley University PeoriaIL61625 United States

ISBN: (纸本)9781713858072

New technologies are being introduced at an unprecedented speed. It is important for current and future workforces to be equipped with the new technologies. The authors have developed an intelligent learning advisor system, iCoursePlanner, to guide current and future workforce. The intelligent learning advisor system recommends courses to help the workforces obtain their goal knowledge. The recommended courses are selected from courses provided by MOOC (Massive Open Online Courses) service providers, such as edX and Coursera, or by a university, specifically, Bradley University. Currently, the courses in the database are related to Industry 4.0 enabling technologies, such as robotics and data analytics, and also related to the field of industrial and manufacturing engineering, and the course database is expansible to include other online or offline courses. The intelligent learning advisor system, iCoursePlanner, was originally developed as an Android-based mobile app, and has been newly designed as a Django-based web application. The newly designed iCoursePlanner is accessible through web browsers from any internet-connected devices. The new intelligent learning advisor system also provides data analytics services. This paper presents the architecture of the newly designed intelligent learning advisor system from the viewpoint of database and software integration. System configuration and database schema are discussed in detail. © 2022 IISE Annual conference and Expo 2022. All rights reserved.

关键词： data Analytics

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Image Processing Algorithm Design for Low-Light EBCMOS Devices Based on FPGA 3

Image Processing Algorithm Design for Low-Light EBCMOS Devic...

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3rd international conference on Electronic Information engineering and Computer Communication, EIECC 2023

作者： Cao, Yi Wei, Na Zhu, Xiangping Ma, Jun Institute of Optics and Precision Mechanics University of Chinese Academy of Sciences State Key Laboratory of Transient Optics and Photonics Xi'an China Xi'An Institute of Atomic Precision Manufacturing Technology Co. Ltd. Xi'an China

ISBN: (纸本)9798350359961

In this study, a hardware platform based on the Xilinx 7-series Field-Programmable Gate Array (FPGA) is employed. The design of a Static Storage Control Module and a Median Filtering Module is accomplished through programming in the Verilog hardware description language using Vivado software. The functionality of these modules is rigorously verified through logical validation using Modelsim software. The algorithm is applied to process low-light images captured by a custom EBCMOS image sensor. Comparative analysis with software testing platforms reveals a substantial improvement in image processing speed when utilizing the FPGA-based hardware resources. This improvement allows the processing of 1 pixel per clock cycle. As a result, this work lays the foundation for the design of lightweight, integrated data acquisition systems for the nextgeneration night vision helmet systems. © 2023 IEEE.

关键词： Algorithm Architecture EBCMOS Field-Programmable Gate Array (FPGA) Hardware Acceleration Hardware Description Language Image Processing

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A Multi-Material and Multi-Scenario dataset for Additive and Subtractive manufacturing Operations

A Multi-Material and Multi-Scenario Dataset for Additive and...

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international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Mohammad Uddin Sebastiano Gaiardelli Michele Lora Dong Seon Cheng Franco Fummi Department of Engineering for Innovation Medicine Industrial Computer Engineering Laboratory University of Verona Italy

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Smart manufacturing systems often use data to optimize production processes. Artificial intelligence algorithms can be used to tune the parameters of production recipes to achieve the desired results. Indeed, such algorithms will require to be trained by using data collected while executing manufacturing operations. However, the required sets of data are rarely available to most production companies. This work-in-progress paper introduces the Print+Mill dataset: a collection of data related to additive and subtractive manufac-turing operations. The data are collected during the execution of various production recipes, utilizing different materials and process parameters. For each recipe, the dataset includes data on the materials and parameters used, sensor readings from the machinery, such as power consumption and temperature, and information on the quality of the resulting product. The data are collected in a complex research facility; in the future, we plan to extend the dataset by considering other manufacturing operations, materials, and types of field data.

关键词： Temperature sensors Temperature distribution Additives Power demand Production Artificial intelligence Machinery Tuning manufacturing automation Smart manufacturing

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2022 4th international conference on System Reliability and Safety engineering, SRSE 2022

2022 4th International Conference on System Reliability and ...

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4th international conference on System Reliability and Safety engineering, SRSE 2022

ISBN: (纸本)9781665473880

The proceedings contain 93 papers. The topics discussed include: research on the classification method of reliability critical parts and important parts;condition-based maintenance for two-component series systems considering component reallocation;resilience modeling of interdependent supply chain networks with company collaboration against ripple effects;research on the construction method of system off-nominal states model based on ontology model;an improved approach based on linear programming model for assessing rail transit system resilience under disruptions;put theory into practice knowledge graph based aviation quality reliability knowledge system;uncertainty analysis technology of complex system based on evidence theory;leveraging ground test data for aero-engine thrust estimation;reliability assessment of man-machine systems subject to probabilistic common cause errors;application of software reliability in civil aircraft airborne software development;reliability modeling and analysis for space phased-mission system;on modeling of repairable systems with multi-output Gaussian convolution process;and reliability optimization of the filling and discharging system for lead-based fast reactor.

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international conference on Recent Evolutions in Energy, Drives and E-Vehicles, REED-EV 2022

International Conference on Recent Evolutions in Energy, Dri...

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international conference on Recent Evolutions in Energy, Drives and E-Vehicles, REED-EV 2022

ISBN: (纸本)9789819707621

The proceedings contain 56 papers. The special focus in this conference is on Recent Evolutions in Energy, Drives and E-Vehicles. The topics include: Comparative Analysis of Mobile Substation;solar Photovoltaic Technology and Future Trends;Crop Leaf Disease Detection Using DCCN;Extraction of Seven Parameters of Double Diode Model Using Analytical and Optimization Method with RTC FRANCE PV Module manufacturing data;ioT in Agriculture: A Review;Development and Characterization of Electrode Using PAN/TiO2 Nanofibers to Improve the Battery Capacity;Enhancement of Power Quality of PV-Interfaced Distribution System Using Adaptive Backpropagation;Power Quality Improvement in a Transmission System Using (Series-Active Filter or DVR);breast Cancer Detection Using Deep Learning and Thermal Images;a Harmonic Current Compensation on a Grid-Connected Electric Vehicle;application of Electro-Mechanical Kinetic Energy Regenerative System and E-Lock Differential for an Electric Vehicle: A Review;challenges and Future Scope in Fake News Detection: A Survey;a Novel Analysis of Urban and Rural Thermal Comfort Levels as a Futuristic Human Dwelling Strategy;a Survey on Performance of Broadcasting Protocol for Ad hoc and Sensor Network;wheelchair Control Using IoT and Fall Detection Mechanism;modeling and Simulation of a Distributed Generation System for Power Quality Assessment;A Comprehensive PVsyst Design for a College Campus in Baghdad;Control of VSI in Microgrid Using Improved Particle Swarm Optimization;Emmet Territory Optimization Algorithm for Reduction of Pilot Contamination in Massive MIMO systems;Assessment of FSPV-Grid System for Electrification of Industrial Sections with Shrinking Derating Factor;Modeling and Speed Control of DC Motor;PV-STATCOM in Distribution System.

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