Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach

A brain tumor is a lethal neurological disease that affects the average performance of the brain and can be fatal.In India,around 15 million cases are diagnosed yearly.To mitigate the seriousness of the tumor it is essential to diagnose at the beginning.Notwithstanding,the manual evaluation process utilizing Magnetic Resonance Imaging(MRI)causes a few worries,remarkably inefficient and inaccurate brain tumor diagnoses.Similarly,the examination process of brain tumors is intricate as they display high unbalance in nature like shape,size,appearance,and location.Therefore,a precise and expeditious prognosis of brain tumors is essential for implementing the of an implicit treatment.Several computer models adapted to diagnose the tumor,but the accuracy of the model needs to be tested.Considering all the above mentioned things,this work aims to identify the best classification system by considering the prediction accuracy out of Alex-Net,ResNet 50,and Inception V3.Data augmentation is performed on the database and fed into the three convolutions neural network(CNN)models.A comparison line is drawn between the three models based on accuracy and performance.An accuracy of 96.2%is obtained for AlexNet with augmentation and performed better than ResNet 50 and Inception V3 for the 120th epoch.With the suggested model with higher accuracy,it is highly reliable if brain tumors are diagnosed with available datasets.

电容对毫微秒瞬变用ZnO-Bi_2O_3-Yb_2O_3基压敏电阻的影响（英文）

研究了ZnO-Bi_2O_3-Yb_2O_3基压敏陶瓷在900°C至1050°C温度范围内的显微组织和电学性能变化。结果表明,随着烧结温度的升高,电容效应从0.460 nF降低到0.321 nF。此外,压敏电阻的晶粒大小从6.8μm增大到9.8μm。这种小的晶粒使样品在900°C烧结时获得更好的电压梯度,约为895 V/mm,而当烧结温度升高到1050°C时,电压梯度迅速下降到410 V/mm。另外,非线性指数增加到最大值36.0,泄漏电流减少到0.026 mA/cm^2。然而,随着温度的升高,压敏电阻的密度从5.41 g/cm^3降低到5.24g/cm^3。在此基础上,考察了压敏电阻电容和高压梯度的影响,从而提高了压敏电阻组件在侵入纳秒瞬态下从非导电态转变到导电态的转变速度。

Powering Mobile Networks with Optimal Green Energy for Sustainable Development

Green wireless networking is an emerging area for many societies,especially academia and industry,in light of economic and ecological perspectives.Empowering wireless infrastructures exploiting green power sources can enhance sustainability due to the adverse effects of conventional power sources and atmospheric circumstances.Moreover,the specific power supply requirements for a base station(BS),such as cost effectiveness,efficiency,sustainability,and reliability,can be met by utilizing technological advances in renewable energy.Numerous drivers and motivators are involved in the deployment of renewable energy technologies and the transition toward green energy.Renewable energy is free,clean,and abundant in most locations throughout the year.In this work,a sustainable optimal stand-alone solarpowered model envisioning green cellular BSs for urban locations in Oman is proposed.This model can extend 24 h uninterrupted power supply support to a cellular BS that fully utilizes an integrated storage device.The system analysis is conducted using a hybrid optimization model for electric renewables(HOMER)based on actual prevailing conditions of the regions and their technical feasibility.The results showed can be achieved operational expenditure savings up to 16%.These outcomes provide a huge benefit to the cellular operators of Oman economically,technically,and ecologically.

Optimal Cost-Aware Paradigm for Off-Grid Green Cellular Networks in Oman

Green wireless networks or energy-efficient wireless networks have gained popularity as a research topic due to the ecological and economic concerns of cellular operators.The specific power supply requirements for the cellular base station,such as cost-effectiveness,efficiency,sustainability,and reliability,can be met by utilizing the technological advances in renewable energy.There are numerous drivers for the deployment of renewable energy technologies and the transition towards green energy.Renewable energy is free,clean,and abundant in most locations throughout the year.Accordingly,this work proposes a novel framework for energy-efficient solar-powered base stations for the Oman site,specifically for off-grid locations where fuel transportation for diesel generator(DG)is a serious concern.To demonstrate the effectiveness of the proposed system for off-grid sites,the Hybrid Optimization Model for Electric Renewables optimization software is adapted by considering real-time conditions and its technical feasibility.Different cost factors such as capital cost,salvage cost,replacement cost,operational,and maintenance cost of PV panels,inverters,and batteries also undergo extensive analysis.From the observed results,the total net present cost(NPC)of the proposed system is$27,887,while the net NPC of the DG is estimated at$32,900.Remarkably,the proposed scheme can potentially achieve considerable savings in the operational expenditure at approximately 15.24%.Indeed,these outcomes can provide profound economic,technical,and ecological benefits to the cellular operators of Oman.It also ensures a sizeable reduction in greenhouse gas that supports sustainable green wireless network deployment in remote areas.

Modelling and validation of metal oxide surge arrester for very fast transients

Metal oxide surge arrester models that are currently on rounds suffer from certain deficiencies and as a consequence,they are not in position to portray accurately the arrester residual voltages.This drawback is mainly attributed to their inherent features.The prevailing pressing need demands accurate performance assessment of zinc oxide arrester under all types of overvoltages including very fast transient overvoltages(VFTOs).So immediate corrective measures like the formation of a new arrester model or rejig of the existing one are urgently warranted.This issue constitutes the centre piece/core of this study.In consideration of its various merits,which includes its capacity to bring out the virtual representation of arrester activities,electromagnetic transient programme software has been chosen for this study.With its aid,the arrester model recommended by IEEE Working Group has been aptly reshaped to suit the needs of VFTOs studies.The end results of the simulations thus carried out have clearly established its suitability for the studies involving nanosecond waves;additionally,it got its validation and endorsement from the test data obtained from different arrester manufacturers.The commendable endorsements got from these studies shed clear light on it.All these aspects are dealt with this work.