-4d90550d17f4602e089-7acf 20220305060729466 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2022 10 6 PhD Scholar, Department of Electrical and Electronics Engineering, MRIIRS, Faridabad, Haryana, India. Hardev Meena* Leena G Professor, Department of Electrical and Electronics Engineering, MRIIRS, Faridabad, Haryana, India. The need for renewable energy systems (RES) continues to grow, and research into wind and solar systems has accelerated in recent years. At the moment, the world's energy requirements are heavily reliant on fossil fuels, which are on the verge of extinction. Renewable energy demand will skyrocket in the next years. Our study demonstrates a robust energy generating system that utilises photovoltaic MPPT and a 13-level inverter system in MATLAB simulink to maximise the output of the solar panel. To optimise the advantages of such network interface distribution systems, a control approach is developed. The inverter is programmed to perform several purposes, including active power filtering. Thus, the inverter may be employed as a power converter to power the network's renewable energy sources. The MATLAB / Simulink simulation is used to execute and verify all of the analyses by subjecting the system to dynamic load conditions. 03 30 2022 88 95 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6831.0310622 https://www.ijrte.org/portfolio-item/F68310310622/ Hung Yen University of Technology and Education, Hung Yen, Vietnam. Nguyen Xuan Truong* Ho Khanh Lam Hung Yen University of Technology and Education, Hung Yen, Vietnam. This paper presents a policy to replace the cached web content named GDSF-EXT based on GDSF by adding an extensible cache located in the network device. In processing, these web contents will be retrieved instead of having to search in other devices on the same network layer or at a higher network layer. That helps to reduce the response time of the user's request. The proposed algorithm is compared to GDSF original to evaluate the performance of the network 03 30 2022 83 87 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6851.0310622 https://www.ijrte.org/portfolio-item/f68510310622/ M.Tech, Department of Civil Engineering, Lucknow Institute of Technology, Lucknow (U.P), India. Dharmendra Kumar Yadav Devi Charan Dubey Assistant Professor, Department of Civil Engineering, Lucknow Institute of Technology, Lucknow (U.P), India. This research paper describe the effect on compressive strength of interlocking titles, in which cementcis a bindingcmaterial, a substance used incconstruction that sets andchardens and can bind othercmaterials together. It iscwidely used in constructioncwith great advantages but cementcwith its wide range ofcproperties has severalcdisadvantages as well. Manufacturing ofccement causes illceffect on environmentcat all stages ofcprocess. These include emissionscof airborne pollutioncin many forms suchcas dust, gas, noisecand vibration. Usuallycmanufacturing of cementccauses emission of greenhousecgas carbon dioxide to 5% inccement structures toc8% in case of roadscin cement. Cement manufacturing releasescCO2 in atmosphere bothcdirectly and indirectly. Directlycwhen Calcium Carbonatecis heated, producing limecand carbon dioxidecand also indirectly through emissioncof energy. The cementcindustry produces up toc5% of global manmade CO2cemission. The productioncof Portland cementcis not only costlycand energy intensive, butcit also produces largecamounts of carbon emissions. Thecproduction of one ton ofcPortland cement producescapproximately one toncof CO2 in the atmosphere. The productivecuse of waste material representsca means of alleviating somecof the problems of solidcash, lime and demolished concrete. 03 30 2022 96 101 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6840.0310622 https://www.ijrte.org/portfolio-item/f68670310622/ Business Intelligence Analyst, Schneider Electric, Bangalore, India. Kajal Singh* Anukriti Mukherjee Programmer Analyst, Cognizant Technology Solutions, Kolkata, India. Machine Learning generates programs that make predictions and informed decisions about complex problems in an efficient and reliable way. These ML programs autonomously test solutions against the dataset to find the best fit for the problem. The paper aims to review the ML algorithms that develop prediction models by utilizing training dataset and known output. The paper also focuses on ML principles, algorithms, approaches, and applications for Supervised, Unsupervised, and Reinforcement learning that can perform tasks without being explicitly programmed for it. Completely opposite to rule-based programming, the machine learning paradigm uses examples of real data sets and pre-process it before providing the desired outputs based on these examples. In the case of more involved and complex tasks, it can be challenging for humans to explicitly program the models. On the other hand, it can be more effective to help the machines develop the algorithms for advanced tasks. This paper will also present the trending real-world applications of Machine Learning in Image Recognition and Biomedicine. Additionally, it will provide a background analysis of machine learning and related fields of data science. 03 30 2022 102 106 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6871.0310622 https://www.ijrte.org/portfolio-item/f68710310622/