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检索条件"任意字段=5th International Conference on Real-Time Computing Systems and Applications"

共 14949 条记录，以下是121-130 订阅

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Design and Performance Analysis of High Efficiency Propulsion System for VTOL applications 5th

Design and Performance Analysis of High Efficiency Propulsio...

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5th international conference on computing Science, Communication and Security

作者： Biswas, Amit Chaubey, Neha N. Chaubey, Nirbhay Kumar Triass Aerosp Pvt Ltd Delhi India Imperial Coll London London England Ganpat Univ Mehsana Gujarat India

ISBN: (纸本)9783031751691;9783031751707

Vertical Takeoff and Landing (VTOL) aircraft are designed to take off, hover, and land vertically. they require significant amount of thrust specially during takeoff and landing phases to counteract the force of gravity. the ability to generate high thrust is a critical aspect of VTOL design. To generate the necessary thrust, VTOL aircraft require specialized propulsion systems such as ducted propellers. However, most of these aircraft continue to use general-purpose propulsion systems that leads to loss of thrust and efficiency. In this paper we discuss how we were able to achieve much higher thrust and efficiency gains by using electric ducted propellers. We will study the design considerations we made to make our propellers more efficient. Mechanical designs of the ducted propeller, the rotor, and other components are explained along with dimensions. the electrical subsystem including power, motor, controllers are also covered. We will also discuss the experimental setup we used to perform the tests. Experimental results were obtained and compared for our ducted propeller and general-purpose un-ducted propellers. Simulations were carried out using the CAD model of the propellers and results were compared with experimental data. We also present performance characteristics of our propellers under various mechanical and electrical conditions.

关键词： Ducted propeller Ducted fan VTOL eVTOL UAV propulsive systems Propeller performance thrust efficiency Simulation Tilt rotor

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Proceedings - 2014 5th international conference on Intelligent systems Design and Engineering applications, ISDEA 2014

Proceedings - 2014 5th International Conference on Intellige...

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2014 5th international conference on Intelligent systems Design and Engineering applications, ISDEA 2014

ISBN: (纸本)9781479942619

the proceedings contain 265 papers. the topics discussed include: the realization of outsourcing research journal's intelligent online submission system;the research of combined operating mode of real estate for aged people based on the theory of BIM;the research of output and authentication methods of digital bills based on the fusion of identity information;the research of the engineering cost management based on the experimental simulation;the structure optimization of the siphonic bedpan's flow channel based on the numerical simulation technology;the study of embedded multifunctional downhole test system;the third-party applications development based on social network open platform;the water exchange numerical simulation in the tielu harbor haitang' bay sanya;and three-dimensional dynamic model of complex subgrade under traffic moving load.

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Deep Surrogate Models of Serverless Batch Processing Services 11th

Deep Surrogate Models of Serverless Batch Processing Service...

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11th IFIP WG 6.12 European conference on Service-Oriented and Cloud computing, ESOCC 2025

作者： Gao, Yicheng Sala, Roberto Ardagna, Danilo Casale, Giuliano Department of Computing Imperial College London London United Kingdom DEIB Politecnico di Milano Milan Italy

ISBN: (纸本)9783031846168

Serverless computing breaks down applications into workflows of stateless functions, where the output of each function serves as the input for the next. When these workflows are distributed across multiple processing nodes, managing the interactions between nodes is crucial to maintaining overall system performance. However, existing analytical performance models do not cope well with the dependencies involved in distributed workflows when the offloaded jobs arrive in batches. In this paper, we study the problem for two processing resources in tandem and develop a scalable surrogate modeling approach based on neural networks that can be used for serverless resource management purposes. We validate our performance model with both synthetic and real-world AI application traces, demonstrating that our surrogate model achieves a mean average percentage error of about 5%. © IFIP international Federation for Information Processing 2025.

关键词： Stochastic systems

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Multiobject Detection and Distance Estimation System for Enhanced Spatial Awareness in the Visually Impaired People 12th

Multiobject Detection and Distance Estimation System for Enh...

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12th international conference on Frontiers of Intelligent computing: theory and applications, FICTA 2024

作者： Reddy Muley, Rajesh BalaChowdeswari, M. Reshma, Sk. Siva Prakash, P. Jaya Prakash, Budeti Desai, Smita Department of Information Technology Lakireddy Bali Reddy College of Engineering Andhra Pradesh Mylavaram521230 India Electronics and Telecommunication Department Dr.D.Y Patil Institute of Technology Pune India

ISBN: (纸本)9789819601424

this research study introduces cutting-edge assistive technology that provides precise distance calculation and real-time object identification to enable people with vision impairments. With the help of the MobileNetV3 trained model, the system can recognize up to 91 distinct items at once, providing a thorough awareness of the user's surroundings. In addition to identifying particular items, the system evaluates the distances between various things in the field of vision and between the user and those objects. It utilizes sophisticated computer vision algorithms to provide reliable object detection and depth estimates, therefore mitigating the difficulties encountered by those with visual impairments. By using a well-crafted aural interface to provide distance information, the audio feedback function improves the user experience. through the provision of accurate and timely spatial layout information, our technology seeks to enhance the ability of visually impaired people to navigate and to become independently mobile. In order to guarantee successful integration into the everyday life of the visually handicapped, the research also addresses the difficulties in designing such systems, such as the requirement for real-time processing, environmental adaptation, and user-friendly aural feedback. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： real time systems

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Deep Learning for Identification of Dental Implant systems Using Radiographic Images—A Pilot Study 5th

Deep Learning for Identification of Dental Implant Systems U...

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5th international conference on Advances in Information Communication Technology and computing, AICTC 2024

作者： Benakatti, Veena Nayakar, Ramesh P. Anandhalli, Mallikarjun Department of Prosthodontics KAHER’S KLE VK Institute of Dental Sciences Karnataka Belagavi India Department of Electronics and Communication Engineering Central University of Karnataka Karnataka Kalaburagi India

ISBN: (纸本)9789819761050

Dental implants are a well-accepted form of prosthetic alternative for missing teeth. Owing to their demand, over 220 manufacturers have entered the market and produced a variety of implants with different make and shape. this creates a challenge for dental practitioners to identify the implant brand when the necessity arises. there is no well-established method for implant identification, and this calls for a quick and scientific method. Deep learning, a computer vision technique for image recognition, can be a solution, to identify implants in a radiographic image. the objective of the study was to evaluate the efficacy of deep learning in implant identification using radiographs. A dataset of 740 images consisting of Osstem TSIII SA, Dentium superline, and Adin Touareg implant systems was derived from panoramic and periapical radiographs to train the YOLOv8 model in implant identification. the model identified Adin Touareg with 94% accuracy, Osstem TSIII SA with 90% and Dentium superline with 85% accuracy giving an overall accuracy over 90%. In the current study, we found that the YOLOv8 model could accurately identify implants in radiographs even with smaller training datasets, and more cross-sectional studies across the world with diverse implant systems and a larger sample size are recommended for generalizability and to be able to implement the model in a real-time scenario. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Radiography

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5th international conference on Context-Aware systems and applications, ICCASA 2016

5th International Conference on Context-Aware Systems and Ap...

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5th international conference on Context-Aware systems and applications, ICCASA 2016

ISBN: (纸本)9783319563565

the proceedings contain 20 papers. the special focus in this conference is on Context-Aware systems and applications. the topics include: Modelling and reasoning about context-aware agents over heterogeneous knowledge sources;context-based project management;organisational knowledge sharing using social networking sites;context adaptive business networks;context-aware hand pose classifying algorithm based on combination of Viola-Jones method, wavelet transform, PCA and neural networks;a load balancing game approach for VM provision cloud computing based on ant colony optimization;optimizing the algorithm localization mobile robot using triangulation map;enhanced human activity recognition on Smartphone by using linear discrimination analysis recursive feature elimination algorithm;LCD-based on probability in content centric networking;multivariate cube for representing multivariable data in visual analytics;an approach to analyzing execution preservation in java program refactoring;a new method to analyze graphical user interfaces of android applications;an efficient method for time series join on subsequence correlation using longest common substring algorithm;an ORM based context model for context-aware computing;a conceptual framework for is project success;notes on recognizing echinocyte by the top-hat transform;personalized email user action prediction based on spamassassin;enhance performance of action evaluation functions with stochastic optimization algorithms and a method for mobility management in cellular networks using data mining.

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Energy Efficient LEDCA Analysis for Improved throughput in Wireless Sensor Networks 6

Energy Efficient LEDCA Analysis for Improved Throughput in W...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Padmageetha, B.G. Naik, Pramod Kumar Patil, Mallanagouda Dept.of Computer Applications Dayananda Sagar University Bengaluru India Dept. of Computer science and Engineering Dayananda Sagar University Bengaluru India Dept. of Computer science and Engineering RVITM Bengaluru India

ISBN: (纸本)9798331522667

Wireless Sensor Networks (WSNs) face significant challenges in terms of energy conservation, scalability, and data throughput owing to their limited node energy resources. this paper presents a low-energy data-centric algorithm (LEDCA), a novel energy-aware clustering and routing protocol designed to optimize energy efficiency and improve throughput in WSNs. through simulations, LEDCA demonstrated a Packet Delivery Ratio (PDR) of up to 90%, throughput of 255,217 bps, and average latency of 159 ms, validating its efficiency in resource-constrained environments. the algorithm integrates residual energy awareness by prioritizing high-energy nodes for Cluster Head (CH) roles, dynamically adjusting routing paths, and balancing the network load to prevent premature node failure. By applying an Energy Mapping Node and a real-time Energy Mapping Table, LEDCA minimizes re-clustering, reduces data redundancy, and ensures stable data transmission even under high-density networks. Simulation results also show LEDCA's scalability of LEDCA, with A9_T_200 achieving the highest throughput under extended transmission ranges and A3_T_200 achieving the lowest latency, making it suitable for energy-sensitive and latency-critical applications. Future enhancements, such as integrating Non-Orthogonal Multiple Access (NOMA) and dynamic resource allocation, could further improve LEDCA’s interference management and scalability of LEDCA for IoT and 5G/6G networks, addressing the needs of next-generation applications. © 2025 IEEE.

关键词： Resource allocation

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GISTAM 2019 - Proceedings of the 5th international conference on Geographical Information systems theory, applications and Management

GISTAM 2019 - Proceedings of the 5th International Conferenc...

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5th international conference on Geographical Information systems theory, applications and Management, GISTAM 2019

ISBN: (纸本)9789897583711

the proceedings contain 47 papers. the topics discussed include: fuzzy estimation of link travel time from a digital elevation model and road hierarchy level;optimizing sample patches selection of CNN to improve the mIOU on landslide detection;2D-STR: reducing spatio-temporal traffic datasets by partitioning and modeling;deriving spelling variants from user queries to improve geocoding accuracy;a method of terrain crack removal suited for large differences in boundary LoD;georeferencing of road infrastructure from photographs using computer vision and deep learning for road safety applications;accuracy assessment of a photogrammetric UAV block by using different software and adopting diverse processing strategies;and reaction-diffusion model describing the morphogenesis of urban systems in the US.

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Memristor based Crossbar Array using CNN for Image Processing applications

Memristor based Crossbar Array using CNN for Image Processin...

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Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Sritama Roy School of Electronics Engineering Vellore Institute of Technology Chennai India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system. Memristor is a useful memory device which plays an important role to design an image processing system and realization of hardware design. Due to the non-volatile nature of memory and less power consumption, Memristor has a huge application in the field of image processing. Being a memory device, Memristor can preserve data and parameters during processing time and reducing the need for data transfer as well as storage. In this research, Memristor in the form of CNN architecture will store the image extracted data where pixel image is given as an input and voltage pulses are generated according to the pixel value. the voltage pulses are then applied as input to the Memristor crossbars and compared with a certain threshold voltage above which an output neuron responds. the above mention system is trained for image recognition applications in real time scenarios. the real time image processing based Memristor system can have huge application areas such as medical imaging, security, computer vision and robotics.

关键词： Semiconductor device modeling Analytical models Neuromorphic engineering Image processing Computational modeling Memristors Robot sensing systems real-time systems threshold voltage Security

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5th international Symposium on Dynamic Response and Failure of Composite Materials, DRAF 2024

5th International Symposium on Dynamic Response and Failure ...

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5th international Symposium on Dynamic Response and Failure of Composite Materials, DRAF 2024

ISBN: (纸本)9783031776960

the proceedings contain 38 papers. the special focus in this conference is on Dynamic Response and Failure of Composite Materials. the topics include: Detection of Impact Damages on Full Scale Wing Using Distributed Fiber Optics Sensors Network;evolution of Unstable Skin-Stringer Debonding Propagation in Composite Aircraft Structures: Implications on Damage Tolerant Design;a Benchmark Between Conventional and Custom Heat Treaments for Inconel 718 Alloy Processed through Cold Metal Transfer Technology;real-time Shearography Measurements of 3D Printed Auxetic Specimens During Flexural Tests;analysis of the Crushing Behavior of Flat Composite Plates Produced by Sheet Molding Compound;effect of Tightening Torque on Bearing Performance of Kevlar Fiber Composite Bolted Joints Produced by Additive Manufacturing;general Damage Detections on Composite Panels Using Computer Vision Algorithms;Crashworthiness of C-Shaped CFRP Composites: A Numerical and Experimental Study;a Numerical-Experimental Study on the Impact Behaviour of Additive Manufactured bcc Lattice Structures;development of a Numerical Methodology Able to Simulate the Unstable Mixed Mode Delamination Growth in Stiffened Composite Panels Under Cyclic Loading Conditions;Numerical Investigation on the Static and Dynamic Behaviour of an Additive Manufactured UAV’s Horizontal Tail;Low Velocity Impact (LVI) Simulation of a CFRP Ply-Drop Laminates: A Numerical Analysis;structural Sandwich Panels for Roofing systems in Civil applications;Comparison of Various Processing Treatments on Uniaxial Compression Performance of Large Scale Additively Manufactured thermoplastic ABS Chopped Fiber Composite Structures;layer Height Treatments on Uniaxial Compression Performance of Industrial Large-Scale Additively Manufactured Polymer Composite Structures;homogenization Techniques for Nanocomposites: A Comprehensive Review.

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