A Review of Automatic Driving System by Recognizing Road Signs Using Digital Image Processing

In this review, the paper furnishes object identification's relationship with video investi-gation and picture understanding, it has pulled in much exploration consideration as of late. Customary item identification strategies are based on high-quality highlights and shallow teachable models. This survey paper presents one such strategy which is named as Optical Flow method. This strategy is discovered to be stronger and more effective for moving item recognition and the equivalent has been appeared by an investigation in this review paper. Applying optical stream to a picture gives stream vectors of the focus-es comparing to the moving items. Next piece of denoting the necessary moving object of interest checks to the post preparation. Post handling is the real commitment of the review paper for moving item identification issues. Their presentation effectively deteri-orates by developing complex troupes which join numerous low-level picture highlights with significant level setting from object indicators and scene classifiers. With the fast advancement in profound learning, all the more useful assets, which can learn semantic, significant level, further highlights, are acquainted with address the issues existing in customary designs. These models carry on contrastingly in network design, preparing system, and advancement work, and so on In this review paper, we give an audit on pro-found learning-based item location systems. Our survey starts with a short presenta-tion on the historical backdrop of profound learning and its agent device, in particular Convolutional Neural Network (CNN)

Adjusting the LTE structural design to 5G: prospects and challenges

Research directions indicate a behemoth shift will be required from the existing framework to activate 5G in full swing. Current researches are intensively working in this field, however, it will take significant time to reach the ultimate goal. Emphasis has been given on the factors and challenges of 5G, solutions have been proposed accordingly, and some ideas about the architecture have been achieved so far. The work shown in this study is not necessarily a radical one, rather demonstrated the challenges, their possible solutions, and more importantly the proposed solutions are precisely discussed in the context of the architecture. It has been assumed that the whole architecture is closely adjacent to the existing 4G architecture, except that all those elements in the same architecture will be far more capable to enable 5G. Addressing the requirements in a very precise approach, addressing the solutions, and finally locating exactly where they would be applied within the architecture is the main objective

Virtual screenings of the bioactive constituents of tea, prickly chaff, catechu, lemon, black pepper, and synthetic compounds with the main protease (Mpro) and human angiotensin-converting enzyme 2 (ACE 2) of SARS-CoV-2

Abstract Background COVID-19 has mutation capability, and there are no specific drug therapies that are available to fight or inhibit the proteins of this virus. The present study aims to investigate the binding affinity of the bioactive and synthetic compounds with the main protease (Mpro) enzymes and angiotensin-converting enzyme 2 (ACE 2) by computational approach. PASS prediction, pharmacokinetics, and toxicological properties prediction studies were performed through the Google PASS prediction and Swiss ADME/T website. Besides, molecular docking studies were accomplished by BIOVIA Discovery Studio 2020, UCSF Chimera, and PyRx autodock vina. Results The docking scores were inferred and the selected compounds showed results varying from −3.2 to −9.8 (kcal/mol). Theaflavin scored the highest docking score to the 5REB, 6VW1, and 1R42 enzymes and showed the binding affinity as −6.3 kcal/mol, −9.8 kcal/mol, and −8.6 kcal/mol, respectively. Again, kaempferol showed the best binding affinity to the 7BQY (−7.1 kcal/mol) and 6Y2FB (−6.6 kcal/mol) enzymes. All the chemical constituents showed better probability in action in pass prediction analysis. Besides, no ligands (except theaflavin) have any conflict with Lipinski’s rules of five, which authorized the drug probability of these ligands. Conclusion Therefore, the selected compounds could be considered a potential herbal treatment source against SARS-CoV-2