AIJREAS VOLUME 8, ISSUE 11 (2023, NOV)aerfpublications2023-12-22T07:37:45+00:00
AIJREAS VOLUME 8, ISSUE 11 (2023, NOV) (ISSN-2455-6300) ONLINE
ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES
1.
STUDIES ON CONDUCTING POLYMER COMPOSITES FOR ENERGY STORAGE APPLICATIONS
ASIYA MASARAT & DR JAKEER HUSSAIN
Page 1-7
| Paper TitleSTUDIES ON CONDUCTING POLYMER COMPOSITES FOR ENERGY STORAGE APPLICATIONSAbstractConducting polymer composites have emerged as promising candidates for energy storage applications due to their tunable properties, flexibility, and high charge storage capabilities. This study investigates the development and characterization of conducting polymer-based composites tailored for efficient energy storage. The focus lies on enhancing charge storage capacity, cycling stability, and conductivity through innovative composite designs and material combinations. Various techniques such as in-situ polymerization, blending, and nanostructuring have been employed to fabricate these composites, aiming to optimize their electrochemical performance. The influence of different dopants, fillers, and polymer matrices on the electrochemical properties has been systematically examined. Moreover, structural analyses, including scanning electron microscopy (SEM) and X-ray diffraction (XRD), have been conducted to elucidate the morphology and crystalline structure, thereby correlating these aspects with electrochemical performance. KEYWORDS : Conducting polymers, Composite materials, Energy storage, X-ray diffraction (XRD), Scanning electron microscopy (SEM).
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2.
ADVANCEMENTS IN SIGNAL PROCESSING TECHNIQUES FOR COMMUNICATION SYSTEMS
Dr. Rahul Kumar Budania
Page 8-14
| Paper TitleADVANCEMENTS IN SIGNAL PROCESSING TECHNIQUES FOR COMMUNICATION SYSTEMSAbstractA fundamental necessity for being able to provide high data rates is that the physical channel between transmitter and receiver is efficiently utilized.
Signal processing algorithms are integral part of any wireless mobile communication systems that makes this possible. Future systems should support a substantially wider and enhanced range of services and thus would require even higher data rates compared to current system in order to
deliver these services. The simulation results
clearly demonstrate the promise of using these
different signal processing algorithms for
improving the performance of wireless mobile
communication systems. These techniques are
capable of achieving high capacity gains at the
expense of implementation complexity. Meanwhile,
the system designs need to be concerned with
propagation features of wireless environments.
This special issue brings together some of the latest progress in new signal processing techniques for 5G networks. Under analysis was pro-posed a design process for the low Earth orbit nanosatellite communication system. Two classes of time-frequency analysis techniques are chosen for this study. Algorithms for both these techniques are developed and implemented on non-stationary signals for spectrum analysis. KEYWORDS : Signal processing, time-frequency,
communication system, wireless mobile
communication systems, Future systems.
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