Wireless Sensor Networks are one of the most promising technologies in decades. WSNs are frequently utilized in applications such as medical, autonomous vehicles, networking, smart homes, environmental areas and other emergency applications. They are composed of huge quantities of sensor nodes capable of sensing, communication, processing, and storage. Transferring sensing data between these nodes faces several challenges due to the node’s constraints, e.g., energy limitation, low computational capability, and low memory. In this paper we review the wireless sensor network protocol for the number of applications using wake up radio calls.

In this paper a PMSM water pumping system is proposed which is operated from PVA and utility grid in parallel. During no solar irradiation or low irradiation the utility grid supports the load connected to it. The PMSM is operated using sensor less field oriented control with speed estimator. The FOC scheme takes voltage and current feedback from the motor generating estimated speed of the machine using MRAS controller. The MRAS controller also generated estimated rotor angle theta for the operation of Parks and Clarks transformations. The FOC scheme is updated with DSM-PI controller which generates stable speed for PMSM rather compared to conventional PI controller. The model is developed in MATLAB software with comparative results.

A solitary stage grid associated transformer less photograph voltaic (PV) inverter which can work either in buck or in lift mode, and can extract maximum power all the while from two sequentially associated subarrays while each of the subarray is facing distinctive natural conditions, is exhibited in this paper. As the inverter can work in buck just as in lift mode relying upon the necessity, the imperative on the base number of sequentially associated sunlight based PV modules that is required to frame a subarray is extraordinarily decreased. Therefore power yield from each of the subarray increments when they are presented to various ecological conditions. The topological configuration of the inverter and its control methodology are planned so the high recurrence segments are absent in the regular mode voltage in this manner confining the greatness of the spillage current related with the PV clusters inside as far as possible. Further, high working efficiency is achieved all through its working reach. A point by point investigation of the system prompting the advancement of its scientific model is completed. The practicality of the plan is confirmed by performing point by point reenactment thinks about. A 1.5 kW research center model is created, and point by point trial studies are completed to verify the legitimacy of the plan.

In this paper problems related to the voltage stability may be cleared by the use of custom power devices. These devices provide the customized ability to control the power in the circuits. One such reliable customer power device used to recover the problems related to the voltage is the Dynamic Voltage Restorer (DVR The main function of the DVR is to monitor the load voltage waveform constantly and if any sag or swell occurs, the balance voltage is injected to the load voltage. To achieve the above functionality a reference voltage waveform has to be created which is similar in magnitude and phase angle to that of the supply voltage. The DVR is applied to DFIG for maintaining the voltage output constant. The model is developed in MATLAB Simulink. This allows the DFIG system to ride through the voltage sag produced due to system faults. The DVR compensates the faulty line voltage, during that the DFIG wind turbine continues its nominal operation as demanded in actual grid codes.

This experimental investigation is carried out to experimental study the different strength characteristics of concrete with partial replacement of steel fiber with M-25 & M-30 grade concrete. The main objective of this investigation work is to improve the strength parameters i.e. slump test compressive strength, split tensile strength and flexural strength of concrete grade M25 & M30 with different percentage of steel fiber (0%, 2%,4% and 6%). Compressive strength, split tensile strength and flexural strength increases up to 6 % steel fiber for M-25 and M-30 grade of concrete. The experimental work is carried out on a total no of 72 specimens of compressive strength, split tensile strength & flexural strength for each sample.

Image Denoising is an important pre-processing task before further processing of image like segmentation, feature extraction, texture analysis etc. The purpose of denoising is to remove the noise while retaining the edges and other detailed features as much as possible. This noise gets introduced during acquisition, transmission & reception and storage & retrieval processes. As a result, there is degradation in visual quality of image. During acquisition, transmission, storage and retrieval processes an image signal gets contaminated with noise. In this paper we present the comparative performance evaluation study for the various noise reduction filters for the image. Here we used the filters like winner filter, point spread function filter for the cameraman image and apple image etc.

Wireless networks and information traffic have grown exponentially over the last decade. Consequently, an increase in demand for radio spectrum frequency bandwidth has resulted. Recent studies have shown that with the current fixed spectrum allocation (FSA), radio frequency band utilization ranges from 15% to 85%. Therefore, there are spectrum holes that are not utilized all the time by the licensed users, and, thus the radio spectrum is inefficiently exploited. To solve the problem of scarcity and inefficient utilization of the spectrum resources, dynamic spectrum access has been proposed as a solution to enable sharing and using available frequency channels. In this paper we improve the rate of performance evaluation parameter using the optimization techniques than previous techniques.

Recent research in the design of end to end communication system using deep learning has produced models which can outperform traditional communication schemes. The aim of any communication system is to perfectly reproduce the message at the receiver sent by a transmitter through a channel between the sender and receiver. Due to the noise characteristics of the channel, the transmitted signal can get corrupted, and the exact reconstruction of the message may not happen at the receiver. In this paper our survey explores the crossovers and the integration of wireless communication and Neural network and Classification technology, aims at solving specific issues in the mobile networking domain, and greatly improve the performance of wireless communication systems.

Image retrieval and classification is very critical task in computer vision. The efficiency of image classification decides the performance and retrieval of search engine. The process of classification basically depends on features of image. The feature of image basically content three lower content features such as color, texture and dimensions of image used during the process of classification. Researchers used data mining, classification and neural network technique for the classification of image. In this paper we present the review of image classification techniques based on their features. In future we develop a model for image classification and improved the result of image classification and retrieval than previous work.

The catastrophic outbreak of Severe Acute Respiratory Syndrome – Corona virus (SARS-CoV-2) also known as COVID-2019 has brought the worldwide threat to the living society. The whole world is putting incredible efforts to fight against the spread of this deadly disease in terms of infrastructure, finance, data sources, protective gears, life-risk treatments and several other resources. India is also facing this very tough task for controlling the virus outbreak and has managed its growth rate through some strict measures. In these we can say that proper decision taken for controlling pandemic through analysis the various conditions through data provided by Ministry of Health and Family Welfare, Government of India. The dataset contains information related to COVID-19 cases at daily level, Population at state level, Number of COVID-19 tests at daily level , Number of hospital beds in each state and data is openly available on kaggle or github for various researchers to analyse these data and gives the current conditions related to pandemic.