A Study on the Improvement of Security Image Analysis Capability Using Artificial Intelligence

The mining of patient data in the health care industry is becoming an increasingly important field because of the direct effect it has on the lives of patients. In the field of medicine, one use of data mining is the early diagnosis of medical diagnostic conditions. However, extracting information from medical records is a laborious process that involves a lot of time and effort. Communities that are dominated by females have an elevated risk of developing breast cancer. Even though mammography is one of the most common ways to use computer-assisted diagnostics, there is still a chance that breast cancer will not be found even if it is one of the most common ways to find and screen for the disease. This indicates that just thirty percent of breast cancers are diagnosed at the appropriate time. Digital image pre-processing includes grayscale-to-binary conversion, noise reduction, and character separation. Most picture recognition algorithms employ statistical, syntactic, and template matching. Neural networks and support vector machines have enabled recent photo identification advances. This article discusses the second stage of the pre-processing procedure, which is adding a filter to the image after it has been segmented in order to make it seem more appealing. It works to identify the area of interest and improve the image by removing the breast border in order to apply filtering algorithms. The breast image\u27s edge is reconstructed using morphological processes in the segmentation method that has been proposed, and breast masses are found by subtracting the two images. In addition, a modified bi-level histogram and homomorphic filters were used in order to improve the image\u27s quality by reducing noise and enhancing contrast

Disulfide bonds, their stereospecific environment and conservation in protein structures

We studied the specificity of the non-bonded interaction in the environment of 572 disulfide bonds in 247 polypeptide chains selected from the Protein Data Bank. The preferred geometry of interaction of peptide oxygen atoms is along the back of the two covalent bonds at the sulfur atom of half cystine. With aromatic residues the geometries that direct one of the sulfur lone pair of electrons into the aromatic Π-system are avoided; an orientation in which the sulfide plane is normal or inclined to the aromatic plane and on top of its edge is normally preferred. The importance of the S···aromatic interaction is manifested in the high degree of its conservation across members in homologous protein families. These interactions, while providing extra overall stability to the native fold and reducing the accessibility of the disulfide bond and thereby preventing exchange reactions, also set the orientation of the conserved aromatic rings for further interactions and binding to another molecule. The conformational features and the mode of interactions of disulfide bridges should be useful for molecular design and protein engineering experiments

Secondary structures at polypeptide-chain termini and their features

An analysis of secondary structures (α-helices and β-strands) in the two terminal regions of polypeptide chains reveals features different from those observed over the whole protein structure. Compared with the overall distribution, the helices in the N-terminal region tend to be smaller and have higher propensities to contain Gln and Leu, while the C-terminal helices are longer and have a greater proportion of Lys and Glu. As a strand, the C-terminal region is never found in the interior of parallel β-sheets and has a higher propensity to be at the edge of antiparallel β-sheets. In contrast, compared with the whole structure the N-terminal region has a higher propensity to be in the interior of parallel β-sheets. Compared with the overall distributions, terminal helices and strands show distinct periodicities in length. The Schellman motif, which is a prevalent C-capping motif in helices, is not common in C-terminal helices. There are other observations that can be used in the design of helical peptides: more residues beyond the C-terminus of helices are used for capping interactions than residues before the N-terminus. Consideration of the distribution of terminal strands in the interior and at the edge of β-sheets suggests a sequential folding mechanism beginning at the N-terminus of the polypeptide chain

High Capacity Signature Hiding Technique in Higher Depth of LSB Layer

Today Signature is very popular authentication information. Here we try to hide this confidential information by Steganography. This security technique prevents discovery of the very existence of communication through digital media. In our proposed work the LSB replacement technique of Steganography is used. Here we able to increase imperceptibility as well as capacity of stego image by considering higher LSB layer for hiding the target data and replacing multiple bits

Semi-Symmetric Metric Connection on a 3-Dimensional Trans-Sasakian Manifold

The object of the present paper is to study the nature of curvature tensor, Ricci tensor, scalar curvature and Weyl conformal curvature tensors with respect to a semi-symmetric metric connection on a 3-dimensional trans-Sasakian manifold.We have given an example regarding it

Research Study on Significance of Gamification Learning and i- Campus Using Internet of Things Technology-Enabled Infrastructure

In this chapter, we discusses the importance of smart i-campus in educational institutes and gamification-based learning to be an integral part of the Internet of Thing (IoT) enabled the smart campus to explain its significance in terms using modern technology in teaching and learning. This research study related to two dimensions different fields, one perspective on fully engaged and enthusiastic learners from gamification part and another perspective on enhanced technology accessibility for the dream i-campus will pretend to be realistic in the near future. Analytical study of smart campus architecture with all features includes classroom laboratories… etc… And the gamification significance in terms of knowledge transfer, assessments, microlearning, competition among learners, to engage maximum level, rewards on achievements. It’s emphasis on the need for both approaches in a single platform to the learners for efficient and smart learning environments to set up

Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme

Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But it lacks behind in its encoding time requirements. In this method an image is divided into non-overlapping range blocks and overlapping domain blocks. The total number of domain blocks is larger than the range blocks. Similarly the sizes of the domain blocks are twice larger than the range blocks. Together all domain blocks creates a domain pool. A range block is compared with all possible domains block for similarity measure. So the domain is decimated for a proper domainrange comparison. In this paper a novel domain pool decimation and reduction technique has been developed which uses the median as a measure of the central tendency instead of the mean (or average) of the domain pixel values. However this process is very time consuming

Photobase effect for just-in-time delivery in photocatalytic hydrogen generation

Carbon dots (CDs) are a promising nanomaterial for photocatalytic applications. However, the mechanism of the photocatalytic processes remains the subject of a debate due to the complex internal structure of the CDs, comprising crystalline and molecular units embedded in an amorphous matrix, rendering the analysis of the charge and energy transfer pathways between the constituent parts very challenging. Here we propose that the photobasic effect, that is the abstraction of a proton from water upon excitation by light, facilitates the photoexcited electron transfer to the proton. We show that the controlled inclusion in CDs of a model photobase, acridine, resembling the molecular moieties found in photocatalytically active CDs, strongly increases hydrogen generation. Ultrafast spectroscopy measurements reveal proton transfer within 30ps of the excitation. This way, we use a model system to show that the photobasic effect may be contributing to the photocatalytic H-2 generation of carbon nanomaterials and suggest that it may be tuned to achieve further improvements. The study demonstrates the critical role of the understanding the dynamics of the CDs in the design of next generation photocatalysts