Deep Features and Clustering Based Keyframes Selection with Security

The digital world is developing more quickly than ever. Multimedia processing and distribution, however become vulnerable issues due to the enormous quantity and significance of vital information. Therefore, extensive technologies and algorithms are required for the safe transmission of messages, images, and video files. This paper proposes a secure framework by acute integration of video summarization and image encryption. Three parts comprise the proposed cryptosystem framework. The informative frames are first extracted using an efficient and lightweight technique that make use of the color histogram-clustering (RGB-HSV) approach's processing capabilities. Each frame of a video is represented by deep features, which are based on an enhanced pre-trained Inception-v3 network. After that summary is obtain using the K-means optimal clustering algorithm. The representative keyframes then extracted using the clusters highest possible entropy nodes. Experimental validation on two well-known standard datasets demonstrates the proposed methods superiority to numerous state-of-the-art approaches. Finally, the proposed framework performs an efficient image encryption and decryption algorithm by employing a general linear group function GLn (F). The analysis and testing outcomes prove the superiority of the proposed adaptive RSA

Deep Features and Clustering Based Keyframes Selection with Security

The digital world is developing more quickly than ever. Multimedia processing and distribution, however become vulnerable issues due to the enormous quantity and significance of vital information. Therefore, extensive technologies and algorithms are required for the safe transmission of messages, images, and video files. This paper proposes a secure framework by acute integration of video summarization and image encryption. Three parts comprise the proposed cryptosystem framework. The informative frames are first extracted using an efficient and lightweight technique that make use of the color histogram-clustering (RGB-HSV) approach's processing capabilities. Each frame of a video is represented by deep features, which are based on an enhanced pre-trained Inception-v3 network. After that summary is obtain using the K-means optimal clustering algorithm. The representative keyframes then extracted using the clusters highest possible entropy nodes. Experimental validation on two well-known standard datasets demonstrates the proposed methods superiority to numerous state-of-the-art approaches. Finally, the proposed framework performs an efficient image encryption and decryption algorithm by employing a general linear group function GLn (F). The analysis and testing outcomes prove the superiority of the proposed adaptive RSA

Bioactive isochromenone isolated from Aspergillus fumigatus, endophytic fungus from Bacopa monnieri

Fungal endophytes are a significant reservoir of novel bioactive secondary metabolites. Present communication describes isolation and structure determination of isochromenone, from endophytic microorganism Aspergillus fumigatus hosted in Bacopa monnieri plant. Further, its biological evaluation revealed it as antioxidant and antitubercular. The methanol extract of A. fumigatus inhibits the growth of the virulent strain of Mycobacterium tuberculosis H37RV with minimum inhibitory concentration 500 μg/mL. This is the first report of isolation of isochromenone from A. fumigatus.</em

Vascular airway compression management in a case of aortic arch and descending thoracic aortic aneurysm

Airway compression due to distal aortic arch and descending aortic aneurysm repair has been documented. This case of tracheal and left main stem bronchus compression due to aortic aneurysm occurred in a 42-year-old man. The airway compression poses a challenge for the anesthesiologist in airway management during aortic aneurysm repair surgery. The fiber-optic bronchoscope is very helpful in decision-making both preoperatively and postoperatively in such cases. We report a case of airway compression in a 42-year-old patient who underwent elective distal aortic arch and descending aortic aneurysm repair

Effects of post COVID-19 lockdown on educational pedagogy: A study of Lovely Professional University

Background: The end of 2019 marked the beginning of the global pandemic COVID-19. With this global issue, all the fields of society became stagnant. The education system is no exception to it. Education sector suffered as students were sent back to homes and schools, colleges and universities were shut down. But steps were taken and the education teaching system was shifted from offline to online mode. This research project examines the educational pedagogy which has been adapted in online mode of teaching due to post COVID-19 lockdown. It seeks to discover the pros and cons of online teaching vis-a-vis the ways of offline conduct of classes. The data for the project has been gathered in the form of an online survey in which both teachers and students were given questionnaires which are used to map and understand different pedagogical choices during online teaching. It also tries to highlight the comparative value, compatibility and usefulness of digital mode of learning.&nbsp