The ge-ta system (germanium-tantalum)

Ge-Ta evaluation contributed byS.P. Garg andN. Krishnamurthy, Bhabha Atomic Research Centre, Bombay-400085, India,M. Venkatraman, Naval Chemical and Metallurgical Lab., Bombay-400023, India, and S.Raju, Indira Gandhi Centre for Atomic Research, Kalpakkam-603102, India. This work was supported by Naval Chemical and Metallurgical Laboratory (DRDO), Bombay, and Bhabha Atomic Research Center, Bombay. Literature was searched through 1989. Dr. Venkatraman, Dr. Garg, and Dr. Krishnamurthy are Alloy Phase Diagram Program Co-Category Editors for binary tantalum alloys.     

Energy-efficient resource allocation model for device-to-device communication in 5G wireless personal area networks

In general, there are several many devices that can overload the network and reduce performance. Devices can minimize interference and optimize bandwidth usage by using directional antennas and by avoiding overlapping communication ranges. In addition, devices need to carefully manage their use of resources, such as bandwidth and energy. Bandwidth is limited in wireless personal area networks (WPANs), so devices need to carefully select which data to send and receive. In this paper, an intelligent performance analysis of energy-efficient resource optimization model has been proposed for device-to-device (D2D) communication in fifth-generation (5G) WPAN. The proposed energy-efficient resource allocation in D2D communication is important because it helps reduce energy consumption and extend the lifespan of devices that are communicating with each other. By allocating resources in an efficient manner, communication between two devices can be optimized for maximum efficiency. This helps reduce the amount of energy needed to power the communication, as well as the amount of energy needed to power the device that is communicating with another device. Additionally, efficient resource allocation helps reduce the overall cost of communication, as the use of fewer resources results in a lower overall cost. The proposed efficient resource allocation helps reduce the environmental impact of communication, as less energy is used for communication. The proposed energy-efficient resource allocation model (EERAM) has reached 92.97% of energy allocation, 88.72% of power allocation, 87.79% of bandwidth allocation, 87.93% of spectrum allocation, 88.43% of channel allocation, 25.47% of end-to-end delay, 94.33% of network data speed, and 90.99% of network throughput.     

DC–DC Converter with Pi Controller for BLDC Motor Fuzzy Drive System

The Brushless DC Motor drive systems are used widely with renewable energy resources. The power converter controlling technique increases the performance by novel techniques and algorithms. Conventional approaches are mostly focused on buck converter, Fuzzy logic control with various switching activity. In this proposed research work, the QPSO (Quantum Particle Swarm Optimization algorithm) is used on the switching state of converter from the generation unit of solar module. Through the duty cycle pulse from optimization function, the MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor) of the Boost converter gets switched when BLDC (Brushless Direct Current Motor) motor drive system requires power. Voltage Source three phase inverter and Boost converter is controlled by proportional-integral (PI) controller. Based on the BLDC drive, the load utilized from the solar generating module. Experimental results analyzed every module of the proposed grid system, which are solar generation utilizes the irradiance and temperature depends on this the Photovoltaics (PV) power is generated and the QPSO with Duty cycle switching state is determined. The Boost converter module is boost stage based on generation and load is obtained. Single Ended Primary Inductor Converter (SEPIC) and Zeta converter model is compared with the proposed logic; the proposed boost converter achieves the results. Three phase inverter control, PI, and BLDC motor drive results. Thus the proposed grid model is constructed to obtain the better performance results than most recent literatures. Overall design model is done by using MATLAB/Simulink 2020a.     

Hemocompatibility of Sulfuric Acid-Treated Metallocene Polyethylene and its Application in Reducing the Quantity of Medical Plastic Waste

The hazards of dumping medical plastics have created a huge demand to reduce the quantity of plastic usage without compromising its quality. The metallocene synthesized polyethylene is one such advent, however, its clinical usage is limited by the problem of hemocompatibility. This study investigates the effect of sulfuric acid-induced changes in metallocene polyethylene. Fourier transform infrared spectroscopy analysis illustrated the addition of OH and sulfonic acid group, which subsequently increased the wettability. An improvement in micro as well as nanosurface roughness was observed. Ultimately, the treated surfaces depicted delayed clotting time, adsorption of specific plasma proteins, reduced hemolysis, and resistance against platelet adhesion.     

The Ag-Cr (Silver-Chromium) system

This work was supported in part by ASM INTERNATIONAL under grant No. FG-104-1A and in part by the National Science Foundation through the Joint Program on Critical Compilation of Physical and Chemical Data coordinated through the Office of Standard Reference Data, National Institute of Standards and Technology. Literature searched through 1984. Professor Neumann is the ASM/NIST Data Program Category Editor for binary chromium alloys.     

The Bi−Cr (Bismuth-Chromium) system

This work was supported in part by ASM INTERNATIONAL under Grant No. FG-104-1A and in part by the National Science Foundation through the Joint Program on Critical Compilation of Physical and Chemical Data Coordinated through the Office of Standard Reference Data, National Bureau of Standards. Literature searched through 1985. Professor Neumann is the ASM/NBS Data Program Category Editor for binary chromium alloys.