Showing papers by "Kuvempu University published in 2022"

Irreversibility analysis of micropolar nanofluid flow using Darcy–Forchheimer rule in an inclined microchannel with multiple slip effects

Abstract: The present work explores the consequence of the flow of micropolar fluid in an inclined microchannel when exposed to linear radiation in presence of a magnetic field. The microchannel is embedded with a porous medium and the Darcy–Forchheimer model is implemented. The walls of the microchannel facilitate the simultaneous suction and injection of the micropolar fluid. A multiple slip regime and temperature jump conditions were assumed at the boundaries. The equations are modeled and nondimensionalized using nondimensional entities and further solved with the aid of the Runge–Kutta–Fehlberg method. Entropy generated in the medium and ratio of irreversibilities is also computed. Results so obtained deliberate that enhancement in Darcy number has caused an increment in entropy generation rate whereas the opposite nature is attained for the Bejan number. Magnifying the radiation parameter has resulted in diminishing the profile of entropy generation rate and Bejan number.

Study on Different Approaches for Breast Cancer Detection: A Review

Abstract: Breast Cancer affects one in eight women in their lifetime. This cancer is generally observable in women, however, men can likewise get influenced from it. As mentioned in United States cancer statistics, the number of deaths caused by breast cancer crossed 40,000 in 1 year only in united-states. The stats indicated the point that this disease is common in women and there is plenty of work yet to be done in this field to get control over such a deadliest disease. This review paper is an attempt to address different breast cancer detection techniques exists based on the medical image processing tools which briefs an overview about the affordability, reliability and outcomes of each technique.

Deep Learning Approaches for Spatio-Temporal Clues Modelling

Abstract: Multimedia domain, understanding of video content requires vibrant semantic features, which are static and temporal information, static information contains spatial clues, and temporal information contains short-term motions clues, as well as long-term motions clues. Exploring these visual features is a challenging task. Conventional handcrafted features extraction methods are inefficient to analyse these features. Inspired by the significant progress of deep learning models in the image domain, this research extends to the design and exploration of deep neural models and in video domain. We addressed the evolution of spatio-temporal features in two ways in this paper. First, we used various “convolutional neural networks (CNN)” and their pipelines to investigate video features, fusion strategies and their results. Second, the drawbacks of convolutional neural networks for long-term motion clues are overcome by using sequential learning models such as the long short-term memory (LSTM) network in conjunction with multimodel fusion techniques. The main objective of this study is to explore spatial-temporal clues, different models available for the problem, and determine the most promising approaches.

Structural and Mechanical characteristic study of HPMC polymer composite films

Abstract: Abstract Hydroxypropyl methylcellulose (HPMC) were extensively known material in packaging, agriculture, medicine, electrolytes in solid state batteries and other areas due to the exceptional biocompatibility and easy production, however shows lower mechanical behaviour. The current investigation was embraced to delineate the effect of potassium iodide (KI) on structural and mechanical properties of biopolymer electrolyte films grounded on Hydroxypropyl methylcellulose (HPMC). The liquidation of the salt into the polymer crowd is done by solution cast technique and the X – Ray diffraction (XRD) analyses were used to fix the structural properties of pristine HPMC and composite HPMC films. The crystallinity (X c ) was calculated, the pristine HPMC films shows high level of crystallinity. However improved amorphous spaces of HPMC polymer crowd were exposed in HPMC composite films. The addition of KI had a considerable impact on break elongation. In HPMC, KI showed good intercalation, and large concentrations of KI resulted in crater-like pits on the film surfaces. Reductions in the tensile strength and elastic modulus along with an increase in elongation were noticed in film integrated with KI.

Endoscopic retrograde cholangiography-induced subcapsular hepatic hematoma

Abstract: Endoscopic retrograde cholangiography (ERC)-induced subcapsular hepatic hematoma is a rare but potentially fatal complication. Right hypochondrial pain is the most common symptom and diagnosis is based on imaging after procedure. Majority can be managed successfully with conservative measures. Angioembolization and surgery may be required in hemodynamically unstable patients. We report a case of ERC-induced subcapsular hepatic hematoma detected laparoscopically following endoscopic stone extraction and managed conservatively.