Electronics Science Technology and Application (E-Journal)
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Intelligent Lighting System Based on ZigBee Communication
Get PDFSociety is developing toward digitalization, intelligentization and networking. An intelligent lighting system based on ZigBee communication is proposed. Its low cost, low power consumption, AD hoc network and other advantages contribute to its broad market. The intelligent lighting system based on ZigBee communication arises at the right time and in the right place. Although it is faced with many difficulties, its development is bound to be unstoppable.
Nano Composite Materials for Optoelectronic Devices Application
Get PDFStudy on the design, preparation, application and performance of nano-scale materials has been attracting attentions of researchers in related fields. Nanocomposite structures in all dimensions can play an effective role in optoelectronic materials and devices. It can become the basic component of a variety of optoelectronic devices, such as organic solar cell (OSC), organic light-emitting diode (OLED), optoelectronic sensor, quantum dot light-emitting diode (QLED), etc., and give these optoelectronic devices unique electrical, optical and mechanical properties, providing a new way to prepare novel optoelectronic functional devices with high performance. With the design of novel structures and the development of materials, the application field scope of nanocomposites continues to broaden and the costs continue to be reduced. These all promote the development of related electronics manufacturing, aerospace and biomedical fields
Pre-IdentifyNet: An Improved Neural Network for Image Recognition
Get PDFWith the rise and development of artificial intelligence, image recognition and classification technology has received more and more attention as an important branch of its research field. Among them, the introduction of deep learning networks and the construction of neural network structures not only avoid a lot of the tedious work of manual extraction, but also improve the accuracy of image recognition. Convolutional neural networks have many advantages that conventional neural networks do not have. Therefore, image classification systems based on convolutional neural networks emerge in endlessly, but there is still much room for improvement in terms of recognition accuracy and recognition speed. Based on this, this paper proposes an improved deep convolutional neural network to improve the accuracy of the network by changing a series of parameters such as the number of channels of the convolution layer, the size of the convolution kernel, the learning rate, the number of iterations, and the size of the small batch with speed. In this paper, three data sets were selected, namely sewage, animals and the Simpson Family. Comparing the improved convolutional neural network network with the existing SqueezeNet and GoogleNet. It is found that the accuracy of the network is maintained while maintaining a similar speed. Both F1-score and F1-score have been improved with a higher recognition rate and better recognition effect in image recognition classification
Some Properties for Orthonormal Generalized B-spline basis polynomials
Get PDFIn this work, orthonormal generalized B-spline polynomials (OGBSPs) with some important properties are adopted. Their operational derivative matrix is first introduced. Then the relation for transformation of orthonormal generalized B-spline polynomials into B-spline polynomials is derived in this paper. Also, the convergence is established which dictates that B-spline polynomials can converge to a smooth approximate solution
Application of Internet of Things Wireless Sensor Technology in Agriculture
Get PDFWith the development and progress of science and technology, the technology of Internet of Things has been applied to various fields. The development of this technology is making agricultural production tend to be more intelligent. This paper analyzes the application of Internet of Things in farmland cultivation, aquaculture, and agricultural product logistics. It also discusses the encountered challenges and solutions during the development of the Internet of Things in agriculture
Operational Matrix Basic Spline Wavelets of Derivative for linear Optimal Control Problem
Get PDFThe main importance goal in this paper is studying the interesting properties of basic spline wavelets functions (BSWFs) and derived some new basic formulations of them. The important operational matrix is devoted in two ways, the first one is the derivative of BSWFs in terms of the lower order of BSWFs while the second is the derivative of BSWFs in terms of the same order of BSWFs. The expression formula for the operational matrix is determined for different orders. In addition an useful formulas concerning the power function and BSMSFs are also presented. The polynomials and wavelets expansions together with operational matrices can be employed to solve problems in applied science and other fields of approximation theory. In this work, two optimal control problem are tested with the aid of operational matrix of derivative for BSWFs with satisfactory results
Effect of Sensor Location of Smart Composite Plate System on Feedback Control Performance
Get PDFThe present study is proposing a deflection control of a fiberglass composite plate system using shape memory alloy (SMA) actuators. The aim of this study is to determine the optimal placement of sensor for the feedback smart composite plate system. Strain measurement on the composite plate was chosen as the input variable for the feedback system. The change in strain on the composite plate was different at all locations on the plate during deflection. Thus, six strain gauges were placed at three positions i.e. tip, mid and root of the plate, at angle 0° and 45° in order to measure the change in strain at these locations and determine which is the best location to produce accurate control of the plate. The performance of the plate using these input variables were compared and analyzed by conducting experiments which required the plate to be deflected using the control system. In order to evaluate the performance of the controller under varying conditions, disturbances were also added to the experiments. The disturbances introduced were similar to those faced by aircraft during flight that is wind flow at varying velocities conducted in the wind tunnel. From the experimental results, it was found that the tip of the plate had the highest change in strain value and the control using input from the strain gauge located there produced the best performance as compared to input from strain gauges located at mid and root of the plate. However, in the presence of airflow, it was found that the best control performance was using feedback from the strain gauge located in the middle of the plate
Parameters Estimation for Mathematical Model of Solar Cell
Get PDFThis paper presents, a simplified accuracy solar cell mathematical model is suggested depend on the analysis of single-diode PV cell mathematical model, and afford a parameter determination method depend on two methods Newton-Raphson method (NRM). The voltage of the single-diode is measured numerically based on NRM, then the current and power of the diode is predicted with the variable resistance parameter characteristics are tested under different values of load resistance from (1-5) Ω under room temperature conditions. The results show that the proposed mathematical model (equation) can quickly and accurately for the PV model I-V and P-V characteristics, which have good methods, and supplies strong support for solar cell system related work
A New Ranking Function of Triangular Fuzzy Numbers for Solving Fuzzy Linear Programming Problems with Big -M Method
Get PDFThe objective of this paper is to introduce a new ranking function of Triangular Fuzzy Numbers for solving fuzzy linear programming problems in objective function and find the optimal solution of it by Big -M Method. A numerical example is given to illustrate the proposed method
Understanding the mHealth implementation and adoption impact: a FVM perspective
Get PDFSuccessful adoption and implementation of Mobile Health applications (mHealth) has been the subject of extensive research as can be evidenced by the large body of research literature on this topic. However, the fit and viability perspective issues have been less widely studied, perhaps because of the difficulty and complexity of healthcare services and delivery factors and their studies. In today’s global business environment this remains a key issue and critical success factor. Hence, this paper explains how challenging the mHealth application implementation success is for organizations government and patients. Furthermore, it is also very important to assess a fit and viability of mHealth application implementations in diverse environment. By drawing upon multiple streams of theory building, a framework, from the Fit-Viability Model (FVM) perspective, is developed. The framework provides important and valuable guiding principles for the decisions on adoption and deployment of mHealth applications. Grounded on the fit-viability framework, the paper advocates the use of a multi-case study approach to examine the success or failure of mHealth applications adoption and implementation. Managers and researchers can use the developed framework to identify the fit and viability of mHealth applications implementations to increase the possibility of success.