Kamal Kant Sharma

Ecosystem science stands at the crossroads of many disciplines, yet the intricate relationships between plants and animals within ecosystems are often studied in isolation. Beyond Borders: Botany and Zoology in Ecosystem Science offers a bold and insightful approach by bridging the gap between many fundamental branches of biological sciences: Botany and Zoology and many branches related to our ecosystem. This edited volume, curates and aims to highlight the symbiotic and dynamic interactions between flora and fauna and other branches of science that sustain the balance of ecosystems. The integration of botanical and zoological perspectives in this book reflects the interconnectedness of life and the need for holistic, interdisciplinary research to better understand and address the challenges ecosystems face today.

Study of Migratory Avi-Fauna are scientific journeys designed to explore the migratory avian diversity of a particular region. It has been driven by a number of objectives, such as scientific discovery, behaviour, demography, socio-ecology, home range and interaction of migratory birds at their winter ground. The outcome of this book will be a valuable document for conservation biology and wildlife study for Ethologist, Zoologist and other research field of biology.

Apart from safety, maintenance is needed to keep plant in an acceptable condition. Maintenance of this kind must be reviewed on an economic and energy efficiency basis. While it is appreciated that breakdowns of plants may result in costly interruption of normal building operations, it must also be borne in mind that stopping the plant for maintenance can also cause a loss in production. Equipment on continuous and arduous duty, e.g. switchboard, motor control centers (MCCs), air-handling units, chiller plant etc., require more attention than that which is lightly loaded and rarely used. Every aspect is to be closely monitored for human safety and subsequent maintenance is the need of hour.

We have implemented a hybrid maximum power point tracking method for photo-voltaic scheme under partly shaded circumstances. The method proposed is capable of combining artificial neural network (ANN) with standard MPPT method such as perturb and observe. By considering the voltage of its limits based on ANN, the fresh hybrid MPPT algorithm is used to anticipate GMPP region. At the same time, the standard MPPT algorithm is searching for MPP in the expected region. The fresh MPPT technique is simulated and modeled using MATLAB/Simulink. Compared to ANN, the newly suggested technique demonstrates better efficiency and precision with a rapid response to GMPP tracking in the expected region, thus improving the amount of output energy for photovoltaic arrays under partly shaded conditions.

This work includes the study of hybrid system comprising Wind and Diesel sources, stand alone system stability analysis and small signal stability improvement. For improving the voltage profile, the reactive power Compensation is done by using STATCOM. By improving the voltage profile also bust up the active power flow into the line and hence improved the small signal stability. By improving the voltage profile, it also boosts up the active power flow into the line and hence improved the small signal stability.