Browsing by Author "Chauhan, K"

Now showing 1 - 4 of 4
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    Image Processing for Automated Diagnosis of Cardiac Diseases
    (Academic Press, 2021) Chauhan, K; Chauhan, R.K
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    Modelling of Multi‑Phase Interleaved based Universal Charging Port for Electric V
    (2024-02) Amoriya, V; Chauhan, R; Mittal, S; Sharma, S; Chauhan, K; Li, H
    This paper presents the evolution of a multi-phase interleaved universal charging port to interconnect electric vehicles with the grid. The proposed charger facilitates users to charge their electric vehicles in any one of four modes: slow, medium, fast, and ultra-fast, optimizing the charging time and electricity bill. It can operate in manual as well as automatic mode. In manual mode, it charges the vehicle at a fxed rate, while in automatic mode, it automatically adjusts the charging rates based on the stress level of the grid. The proposed design ofers economic gains to utility companies and electric vehicle users by allowing them to vary the charging rate during peak and of-peak hours. By charging during of-peak hours, users can take advantage of lower electricity rates and reduce their overall energy costs. Additionally, this design provides ancillary services to utility companies by allowing them to vary the charging rates of electric vehicles during peak hours. The performance of the proposed charger with the control algorithm is verifed by simulation on MATLAB Simulink.
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    Modelling of Multi‑Phase Interleaved based Universal Charging Port for Electric Vehicles
    (2024-02) Amoriya, V; Chauhan, RK; Mittal, S; Sharma, S; Chauhan, K
    This paper presents the evolution of a multi-phase interleaved universal charging port to interconnect electric vehicles with the grid. The proposed charger facilitates users to charge their electric vehicles in any one of four modes: slow, medium, fast, and ultra-fast, optimizing the charging time and electricity bill. It can operate in manual as well as automatic mode. In manual mode, it charges the vehicle at a fxed rate, while in automatic mode, it automatically adjusts the charging rates based on the stress level of the grid. The proposed design ofers economic gains to utility companies and electric vehicle users by allowing them to vary the charging rate during peak and of-peak hours. By charging during of-peak hours, users can take advantage of lower electricity rates and reduce their overall energy costs. Additionally, this design provides ancillary services to utility companies by allowing them to vary the charging rates of electric vehicles during peak hours. The performance of the proposed charger with the control algorithm is verifed by simulation on MATLAB Simulink.
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    Recent Advancements in the Field of Chitosan/Cellulose-Based Nanocomposites for Maximizing Arsenic Removal from Aqueous Environment
    (2024-09) Chauhan, K; Singh, P; Sen, K; Singhal, R; Thakur, V
    Water remediation, acknowledged as a significant scientific topic, guarantees the safety of drinking water, considering the diverse range of pollutants that can contaminate it. Among these pollutants, arsenic stands out as a particularly severe threat to human health, significantly compromising the overall quality of life. Despite widespread awareness of the harmful effects of arsenic poisoning, there remains a scarcity of literature on the utilization of biobased polymers as sustainable alternatives for comprehensive arsenic removal in practical concern. Cellulose and chitosan, two of the most prevalent biopolymers in nature, provide a wide range of potential benefits in cutting-edge industries, including water remediation. Nanocomposites derived from cellulose and chitosan offer numerous advantages over their larger equivalents, including high chelating properties, cost-effective production, strength, integrity during usage, and the potential to close the recycling loop. Within the sphere of arsenic remediation, this Review outlines the selection criteria for novel cellulose/chitosan-nanocomposites, such as scalability in synthesis, complete arsenic removal, and recyclability for technical significance. Especially, it aims to give an overview of the historical development of research in cellulose and chitosan, techniques for enhancing their performance, the current state of the art of the field, and the mechanisms underlying the adsorption of arsenic using cellulose/chitosan nanocomposites. Additionally, it extensively discusses the impact of shape and size on adsorbent efficiency, highlighting the crucial role of physical characteristics in optimizing performance for practical applications. Furthermore, this Review addresses regeneration, reuse, and future prospects for chitosan/cellulose-nanocomposites, which bear practical relevance. Therefore, this Review underscores the significant research gap and offers insights into refining the structural features of adsorbents to improve total inorganic arsenic removal, thereby facilitating the transition of green-material-based technology into operational use.