27 research outputs found
Amiodarone and reperfusion ventricular fibrillation
No full text[No abstract available]Ayoub CM, 2009, EUR J ANAESTH, V26, P1056, DOI 10.1097-EJA.0b013e32832f0dfb; NANAS JN, 1995, CIRCULATION, V91, P451; SAMANTARAY A, 2009, J CARDIOTHORAC VASC1
Optimization of hot working parameters for thermo-mechanical processing of modified 9Cr–1Mo (P91) steel employing dynamic materials model
No full textAtypical transitions in material response during constant strain rate, hot deformation of austenitic steel
No full textFogNet: Custom CNN with optimal feature selection-based combat model for secured fog computing environment
No full textIn recent years, the increasing number of connected devices and the exponential growth of data generated by these devices have posed significant challenges for intrusion detection systems (IDS) in fog computing environments. However, conventional IDS failed to provide better attack detection performance in fog computing networks. So, this work proposes a custom convolutional neural network (CCNN) with optimal feature selection-based combat model for secured fog computing environment. Initially, preprocessing of the dataset aims to enhance the quality of the input data by removing attack labels, reducing dimensionality, and extracting relevant features. Then, comprehensive learning particle swarm-based effective seeker optimization (CLPS-ESO) is employed to extract features by leveraging a comprehensive learning strategy and the powerful optimization capabilities of effective seeker particle swarm optimization. To further enhance the feature selection performance, the random forest-dependent African buffalo optimization with weighted genetic algorithm, here after referred as RF-IABO-WGA, is utilized to identify the most discriminative features from the CLPS-ESO dataset. By selecting a subset of informative features, the computational complexity is reduced, and the detection accuracy is improved. Finally, the selected features are fed into a custom convolutional neural network (CCNN) classifier, which leverages the power of deep learning to accurately classify network traffic as either normal or malicious. The CCNN architecture can effectively learn complex patterns and capture the underlying characteristics of network data, enabling accurate intrusion detection in fog computing environments. Experimental results on a UNSW-NB dataset demonstrate that the proposed FogNet resulted in accuracy of 99.771878 %, precision of 99.770460 %, recall of 99.538589 %, and F1-score of 99.653512 %, which are superior performances compared to existing approaches
A critical comparison of various data processing methods in simple uni-axial compression testing
No full textCharacterization of deformation instability in modified 9Cr–1Mo steel during thermo-mechanical processing
No full textProfessionalism in Library Administration
No full textLibrary is the trinity of library resources, researchers and staffs. To bring coordination among the three components, the library administration is based on five library science laws and the institutional administrative policy. Usually the Head of the library is a professional, qualified in the library science field with vast experiences and engaged in academic activities. The librarian community does not wear an overcoat to prove themselves as a professional but acts professionally and benefits society. Human Resource Management (HRM) is implemented in libraries after filtration. Therefore, HRM organizational goal, work culture, team, training and development, motivation, empowerment, employee retention, data policies, etc., are integrated into HRM in libraries. On the basis of her experience, the author pen down certain philosophical point, which are not taken care of by the non-professional when they remain in-charge library of the administration. The author feels that, the library management should always think globally but act locally. The library professional should connect heartily to the reader community, think over their need, and provide the service with transparency, ethically, poliferen for sustainability.
A new relationship between the stress multipliers of Garofalo equation for constitutive analysis of hot deformation in modified 9Cr–1Mo (P91) steel
No full textMicrostructural Evolution and Mechanical Properties of Type 304 L Stainless Steel Processed in Semi-Solid State
No full textAbstract The paper discusses the effect of semi-solid processing on the microstructural evolution and mechanical property of 304L stainless steel. For the study, steel specimens were part ially melted and cooled to room temperatures in different cooling mediu m. The effect of temperature, t ime and cooling mediu m on microstructural evolution was studied by using optical microscopy. It was found that melting begins with the nucleation of liquid phase at the triple junctions and grain boundaries followed by propagation of the liquid phase along grain boundaries. The mechanical behavior of the semi-solid processed material was compared with that of the conventionally processed material with regard to their tensile properties and hardness. The semi-solid processed material shows better ductility and reduced YS and UTS than the conventionally processed counterpart. The correlation of the tensile properties and evolved liquid content shows that the UTS of the material decreases, while the YS increases with liquid fraction. The study also shows that there is a significant effect of cooling med iu m on the microstructural evolution and hence on the mechanical propert ies
