Journal of Electrical & Electronic Systems

It is continuous interaction with basic disciplines and is also contributing to meet all Grand Societal Challenges. To provide a strong professional development opportunity for early career academicians-meeting experts awards in different categories are announced

The report on worldwide electromagnetic similarity (EMC) protecting and test hardware advertise gives subjective and quantitative examination to the time of 2016 to 2024. The report predicts the worldwide electromagnetic similarity (EMC) protecting and test gear market to develop with a CAGR of 5.5% over the time of 2018 - 2024.

Conference recognized the outstanding contribution to experimental research that has increased our understanding of Electrochemistry. Awards provide an opportunity to the participants like outstanding researchers, exceptional graduates or early academicians and organizations to showcase their best research and projects to the world related to the conference theme.

The global Electrochemical Instruments Market is segmented on the basis of products, technologies, end users, and regions. Electrochemical Instruments market worldwide is projected to grow by US$819.3 Million, driven by a compounded growth of 4.9%.

It is continuous interaction with basic disciplines and is also contributing to meet all Grand Societal Challenges and to provide a strong professional development opportunity for early career academicians-meeting experts awards.

In recent years deep learning has become the big thing happening in the field of Machine learning with so many research and discovery in the field, within this few period deep has had a big edge over other forms of machine language since it has made a better attempt at learning a big amount of unlabeled data and it has been applied to so many fields. The recent success in deep learning has provided significant contribution in the field of artificial intelligence. This article presents a review on deep learning, basic overview of history of deep learning, and a quick overview of some important concept of deep learning (how feature learning made the difference in deep learning and the key concept of deep learning which the big data is). In a quick summary this article presents a basic overview of deep learning and a track of its progress.

This study was undertaken to evaluate the criteria of radiation safety during nuclear imaging process with Gamma camera by used neural intelligence systems integrated with electrical circuit of Gamma camera, (DICOM – MATLAB integration systems. In this study we are used the 40 uCi of Tc-99 m point source for calibration gamma camera, also used thallium activated sodium iodide (NaI(Tl) crystal as the radiation detector, which is viewed by an array of photomultiplier tubes (PMTs) in gamma camera . In this study we are used A Jaczack phantom with 6 fillable sphere for processing of imaging with calibrated under minimal low doses effect. The characteristic factors ratio were measured against standard ratio for machine of gamma camera, standardized uptake value (SUV), point spread function (PSF), signal-to-noise ratios (SNRs) were measured according to NEMA standard. SUV for image reconstructions proceeding with DICOM–MATLAB systems revealed high resolution with high ratio for SUV max, also PSF and SNRs for image reconstructions proceeding with DICOM – MATLAB recorded high quality image reconstructions under circumstances of low doses form radioisotope Tc-99 m. On the other hand data revealed during the process of operation system with DICOM- MATLAB system, quality image and low dose, short time of exposure and all radiation safety criteria were achieved under radiation safety requirements for nuclear imaging.

Permanent magnet brushed DC motors are used in several applications such as home automation or automotive industry. This is mainly due to their lightweight, low cost and compact structure. Thus, the importance to study the sources of noise and vibration in these motors, which is often complicated and can be attributed to many factors. In this paper, the cogging torque and electromagnetic forces are studied in the case of a small permanent magnet brushed DC motor with 2 poles and 3 slots. Addition of dummy slots on the rotor side is described with its effect on the evolution of both aspects. The aim of this study is to give the quantitative effect about torque ripple and radial forces for each harmonic in relation with these dummy slots.