-3dc97f3d182b6b0ed3d-253a 20221105024518681 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/ 11 30 2022 11 4 SRM Institute of Science & Technology, Delhi NCR Campus, Ghaziabad (U.P), India. Karamjeet Singh Gulati Anupreet Sihra Banasthali University, Rajasthan, India. Dr. Veena Khandelwal SRM Institute of Science & Technology, Delhi NCR Campus, Ghaziabad (U.P), India. Sergej Dogadov Technische Universität, Berlin, Germany. Designing and releasing of software’s in production that contains images takes a lot of time due to the need of finding ALT-text attributes for the images embedded in the applications. This paper automates the task of writing ALT-text attributes in HTML, especially if image integration is large with the use of python PIP package and Microsoft Computer Vision API. This will save huge time and efforts of the developers by automating the task of captioning images manually up to a great extent. The challenge that confronts us is the quality of annotations generated by the machine with respect to the human generated annotations. To study the appropriateness of the captions delivered by APIs, a blend of human and machine assessment was used. We have noticed a high similarity in human and machine generated annotations as we obtained individual and cumulative BLEU score metric . Another metric is confidence score with a percentage mean of 0.5 .Also, we have calculated the time taken per caption which is 1.6 seconds per image which took 6.01 minutes to caption 200 images. 11 30 2022 57 63 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7332.1111422 https://www.ijrte.org/portfolio-item/d73321111422/ Department of Mechanical Engineering, VTU-RRC Belagavi (Karnataka), India. Dandapani Dr. Devendra K Department of Mechanical Engineering, SKSVMACET-Laxmeshwar (Karnataka), India. Epoxy resins are used as Lightweight Automotive components, hydrophobic coating, corrosive-resistant thermosetting linings, and other applications. To understand the effect of epoxy resin with Graphene(G)-red Lead oxide (Pb3O4) filler with the application of heat, the thermal behavior of the hybrid composite material is studied in detail. Microstructure characterization of the produced composites had performed employing EDX and SEM. Analyses of the epoxy matrix microstructure have confirmed a relatively uniform distribution of fillers. TGA, DSC, and Longitudinal heat flow methods, were used to determine the thermal behavior of prepared materials by ASTM standards. Heat resistivity and Thermal conductivity of the material increase by adding 0.5 wt% of G initially increase but decreases with an increase in the density of the composite. Specific heat capacity and CTE increase with density for hybrid material. A decrease in Diffusivity indicates a proven thermally insulating material. A simple method adopted for fabrication tends to reduce cost. Epoxy-based Graphene-red lead oxide with modified properties has proven to be a good insulating material. 11 30 2022 52 56 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7335.1111422 https://www.ijrte.org/portfolio-item/d73351111422/