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Keyword: ShapeEffects of Different Activation Functions for Unsupervised Convolutional LSTM Spatiotemporal Learning
Convolutional LSTMs are widely used for spatiotemporal prediction. We study the effect of using different activation functions for two types of units within convolutional LSTM modules, namely gate units and non-gate units. The research provides guidance for choosing the best activation function to use in convolutional LSTMs for video prediction. Moreover, this paper studies the…
Read MoreDesign of an Additively Manufacturable Multi-Material Light-Weight Gripper with integrated Bellows Actuators
Combining state-of-the-art additive manufacturing technologies with structural optimization has the potential to produce geometrically complex multi-material components with integrated functionalities and desired structural behavior. In this article, the simulation-driven design process of a multi-material light-weight gripper with an integrated pneumatic bellows actuator is described. The design of the bellows structure is based on a previously…
Read MoreHigh-Temperature Optical Characterization of Wide Band Gap Light Emitting Diodes and Photodiodes for Future Power Module Application
A systematic study of wide bandgap (WBG) based light emitting diodes (LEDs) and photodiodes (PDs) were conducted for the assessment of modular integration of optoelectronic devices into power modules. The temperature dependence of the photoluminescence (PL) efficiency of Indium gallium nitride/Gallium nitride (InGaN/GaN) multiple quantum wells (MQWs) material was studied from 10 to 800 K.…
Read MoreInsight into the IEEE 802.1 Qcr Asynchronous Traffic Shaping in Time Sensitive Network
TSN is an attractive solution for latency-critical frame transmission built upon IEEE 802 architecture. Traffic scheduling and shaping in TSN aim to achieve bounded low latency and zero congestion loss. However, the most widespread solution (i.e. Time-Aware Shaper) requires a networkwide precision clock reference and only targets on cyclical traffic flows. This paper focuses on…
Read MoreTrajectory Tracking Control Optimization with Neural Network for Autonomous Vehicles
For mission-critical and time-sensitive navigation of autonomous vehicles, controller design must exhibit excellent tracking performance with respect to the speed of convergence to reference command and steady-state accuracy. In this article, a novel design integration of the neural network with the traditional control system is proposed to adaptively obtain optimized controller parameters resulting in improved…
Read MoreA Machine Learning Framework Using Distinctive Feature Extraction for Hand Gesture Recognition
There are more than 7billion people in the world where there are around 500 million people in the world who are denied from normal lifestyle due to physical and mental issue. It is completely fair to say that every person deserves to enjoy a normal lifestyle. While physically and mentally challenged people find suitable way…
Read MoreEffects of Dielectric Properties of the Material located inside Multimode Applicator on Microwave Efficiency
During microwave heating of materials, the efficiency of microwave heating depends on the materials’ dielectric property, shapes and sizes of the material, materials’ position inside the applicator, operating frequency, level of input power, specific heat capacity, number and position of waveguide over the applicator, size and geometry of applicator etc. This paper examines the effects…
Read MoreLookup Tables-based mean level detection of spatially distributed targets in non Gaussian clutter
In this paper, Constant False Alarm Rate (CFAR) detection of spatially distributed targets embedded in compound Gaussian clutter with Inverse Gamma texture is addressed. By taking into account the fact that clutter parameters are unknown in practical situations, we propose mean level based on Lookup Tables detectors, that operate as a two-step approach, which consists…
Read MoreOptimal Rotor Design of Line Start Permanent Magnet Synchronous Motor by Genetic Algorithm
Line start permanent magnet synchronous motor (LSPMSM) is one of the highest efficiency motors due to no rotor copper loss at synchronous speed and self-starting. LSPMSM has torque characteristics of both induction motor IM and Permanent Magnet Synchronous Motor-PMSM. Using Genetic Algorithm (GA) for balancing magnetic cost and for copper loss minimization, the magnetic sizes…
Read MoreSecurity in SWIPT with Power Splitting Eavesdropper
Simultaneous wireless information and power transfer (SWIPT) has drawn significant research interest in recent years. In this paper, we investigate the information theoretic secrecy of a SWIPT system under Weibull fading channel. To be specific, we analyze the information security in the presence of an energy harvesting and information decoding eavesdropper. All links are subjected…
Read MoreEvaluation of Pure Aluminium Inoculated with Varying Grain Sizes of an Agro-waste based Inoculant
Pure Aluminium and its alloy are widely utilized in Engineering and Industrial applications due to certain significant properties such as softness, ductility, corrosion resistance, and high electrical conductivity which it possesses. Addition of an agro-waste based grain refiner to the melt can alter the characteristics positively or negatively. Therefore, the aim of this paper is…
Read MoreBiosynthesis of Gold Nanoparticles by Fenugreek (Trigonella Foenum-Graecum) Extract
In this work fenugreek(Trigonella Foenum Graecum) extract was used to synthesis gold nanoparticles by simple and safe method .In aqueous solution of chloroaurate ions, fenugreek extract was used as reducing agent and gum Arabic as stabilizer by one synthetic route which is microwave irradiation .The nanoparticles were characterized and investigated by ultraviolet-visible (UV-Vis) spectrophotometry, transmission…
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