Category: Engineering

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  • Effect of hardness matching of aero spline sub-materials on wear performance

    Effect of hardness matching of aero spline sub-materials on wear performance

    Coefficient of friction

    The coefficient of friction at the time of testing also fluctuates significantly in tests with different Hi/He. These fluctuations are attributable to variations in the size of the area of the contact surface between the…

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  • Generation of a 28 GHz annular power distribution with high power gyrotron and its application to microwave driven in tube accelerator

    Generation of a 28 GHz annular power distribution with high power gyrotron and its application to microwave driven in tube accelerator

    Microwave rocket technology, which obtains a propulsive force by receiving an intense millimeter-wave pulse irradiated from a ground oscillator to the vehicle, has been proposed to reduce space transportation costs1,2,3,4,5,6,7,8,9,10,11,12,13,

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  • Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge

    Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge

    This section elucidates the theory of CSF variables and delineates the fundamental dynamic Yager operational principles. Additionally, we design the CSFDYWA and CSFDYWG operators for integrating CSF data, particularly concerning time-independent…

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  • Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network

    Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network

    Digital analysis of intelligent buildings based on BIM technology

    Currently, BIM technology involves the creation and use of digital information models for design management, construction management, and operational maintenance of construction…

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  • Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge

    Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge

    This section describes the markings and equations used to implement the proposed framework. Table 2 presents the essential parameters for solving the problem, as illustrated in Fig. 4. In this approach, time is segmented into uniform intervals,…

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  • Investigation into electro mechanical behaviour of MEMS wing shaped dielectric capacitive pressure sensor conforming to set boundary conditions and sizing tolerances

    Investigation into electro mechanical behaviour of MEMS wing shaped dielectric capacitive pressure sensor conforming to set boundary conditions and sizing tolerances

    In this section the relationship between applied pressure and capacitance, based on the contact formed between the substrate and the diaphragm as shown in Fig. 3, is derived mathematically. The following Eq. (2) gives the total capacitance.

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  • Research on an efficient prediction for deformations of thread connections based on deep transfer learning

    Research on an efficient prediction for deformations of thread connections based on deep transfer learning

    Experimental setup

    Generation and preprocessing of the dataset

    Dataset for Pre-training: In order to train the deep neural network model, a thread connection deformation dataset based on the theoretical model was first constructed. The input…

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  • A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources

    A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources

    Objective function

    The target objective function(s) in optimizing and scheduling a VPP in this work aims to optimize multiple objectives. The primary target is to minimize the cost followed by a secondary target to minimize the generated…

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  • AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols

    AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols

    Evaluation metrics

    The results obtained using the proposed AG-MS3D-CNN algorithm are evaluated comprehensively through various complementary metrics, which further allow measuring different aspects of segmentation accuracy, uncertainty estimation,…

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