Perception of multimodal objects in NLP through computer vision

Sakib Hosen Himel, Mahidul Islam Rana — Tue, 10 Jan 2023 00:00:00 +0530

This project is based on voice interaction and object detecting properties. It will allow the users to do voice interaction with the artificial intelligence and it will reply with the system voice. That is how users will use their voice to command as a trigger to find out the category of any object by showing it using the camera module. At first, the user will show an object with the help of a camera and ask for identifying it in the system. The object detection system then captures a frame from the camera and predicts through the structure to identify which class the object belongs to by extracting the feature from there. The process of this application is to search the database to match the structural data to find out the exact category of the object. When this system approximately matches with the information of a category then the application will suggest the category for the object by mentioning the category name through voice. This application can also give some basic information by asking for it. Our general-purpose approach can be effective in interpreting the structure and properties of objects in different networks through natural language processing.

Photocatalytic decolorization of methyl orange dye using SnO2-TiO2 nanocomposite particles synthesised by Ultrasonic Assisted Co-Precipitation Method

Fri, 24 Mar 2023 00:00:00 +0530

The ultrasonic-aided co-precipitation method was used to create SnO2-TiO2 nanocomposite particles. Scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), and UV-vis spectroscopy were used to characterize the nanocomposite particles. XRD patterns revealed the crystalline structure of particles and the average particle size determined by Debye Scherrer’s equation was found to be 11.355, 4.9577, and 4.333 nm for TiO2 nanoparticles, SnO2 nanoparticles, and SnO2-TiO2 nanocomposites, respectively. The Ti, Sn, and O species were confirmed to exist by energy-dispersive X-ray spectroscopy (EDS). The UV absorption peaks at 288, 305, and 350 nm were attributed to SnO2, TiO2-SnO2, and TiO2 respectively. The photocatalytic aspect was investigated in a model organic contaminant (methyl orange). Data obtained by the above-mentioned characterization methods confirmed the superior photocatalytic activity of SnO2-TiO2 nanostructure than SnO2 or TiO2 alone.

Recent Research in Science and Technology

Perception of multimodal objects in NLP through computer vision

Photocatalytic decolorization of methyl orange dye using SnO2-TiO2 nanocomposite particles synthesised by Ultrasonic Assisted Co-Precipitation Method