Browsing by Author "Rajeev Kumar Singh"

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A Reconfigurable Power Processor for Electric Vehicle Facilitating Both Wired and Wireless Charging
(Institute of Electrical and Electronics Engineers Inc., 2023) Soumya Ranjan Meher; Rajeev Kumar Singh
Existing electric vehicles (EV) in the market require two separate power processors for propulsion and on-board wired charging operations. EV with wireless charging feature requires an additional power processing unit to be fitted with the vehicle and thus requires three separate power processors. Existing integrated chargers support any two of these operating modes (i.e., either propulsion and wired charging or wired and wireless charging) out of three required operating modes. In order to optimize size, volume, and weight along with the cost, a novel reconfigurable power processor (RPP) is presented in this article that replaces the need of three separate power processors in an EV. The proposed power processor restructures itself as three different power electronic topologies during three modes of operations. For wireless charging mode, a new converter topology is also proposed in this article for the transmitting unit at the primary side. During both wired and wireless charging methods, the proposed solution draws power from a single-phase ac supply to optimally charge the EV battery pack with CC-CV algorithm and simultaneously maintaining near unity power factor (PF) at the grid side. The proposed idea is validated in the laboratory environment with an experimental set up consisting of a 24 V, 400 W BLDC motor and a 24 V, 30 Ah battery. © 2014 IEEE.
Extendable multiple outputs hybrid converter for AC/DC microgrid
(Institution of Engineering and Technology, 2020) Anish Ahmad; Rajeev Kumar Singh
High gain converters are very popular nowadays due to large demand in the area of microgrid-based renewable energy resources. The renewable energy resources have low-voltage generation sources that require high voltage gain converters to step up the input DC voltage. Also, multi-output converters are demanded in the present scenario due to a requirement of different AC and DC load demands. The conventional converters used for this purpose have a few limitations such as duty cycle is limited and they have to operate on extreme duty cycle to achieve high gain. To encounter these problems, hybrid multi-output converters are designed and proposed for high gain in less duty cycle. In this chapter, an extendable multiple-output hybrid converter is presented for AC/DC microgrid applications. The proposed converter is derived from single-switch-derived quadratic boost converter topology. In the proposed hybrid converter, both the filter inductors of the converter are magnetically coupled and the main switch of the converter is replaced by an H-bridge inverter circuit. This inverter bridge can be arranged by series or parallel and depending upon the need of output voltage and current, an n-number of bridges can be connected in series or parallel. Thus, the proposed hybrid converter is capable of giving single DC and n-number of AC outputs simultaneously. This type of converter topologies is mostly suited for rural-based microgrid application where requirements are of less maintenance, high power density and less cost. Detailed steady-state analysis and PWM control algorithm for both series and parallel connected topologies have been carried out to demonstrate its advantages. In this chapter, the proposed topology is validated for two simultaneous AC and single DC outputs on a 500 W prototype through simulation and experimental results. © The Institution of Engineering and Technology 2020.
Manual scavenging as social exclusion: A case study
(Economic and Political Weekly, 2009) Rajeev Kumar Singh; Ziyauddin
This note deals with the problem of manual scavenging in India as a form of caste and occupationbased social exclusion. It tries to explore the causes and reasons for the continuance of this social evil in India with a case study of Ghazipur district in eastern Uttar Pradesh.
Modeling the effect of temperature rise due to atmospheric carbon dioxide on the outbreak of food-borne diseases
(Springer Nature, 2025) Shikha Singh; Shubham Chaudhry; Maninder Singh Arora; Rajeev Kumar Singh; Arvind Kumar Misra
Climate change is not just a future concern but it is a present reality. As atmospheric carbon dioxide levels in the atmosphere increase, global temperature rises, triggering a series of environmental changes. One of the less-discussed but significant impact is the spread of food-borne diseases. This article delves into how rising temperature influences food safety. Temperature rise affects the growth and survival of pathogens and warmer temperature can accelerate the replication rate of bacteria and other microorganisms, increasing the likelihood of infection. Furthermore, higher temperature can also affect the life cycles of vectors, enhancing their ability to spread diseases. A non-linear model is presented and examined in this study to investigate the impact of rising global average temperature on the transmission of carrier-dependent infectious diseases within a specific habitat. The model incorporates five dynamic variables: carbon dioxide concentration, global average temperature, susceptible and infected human population, and carrier population density. We assume that the carrier population follows a logistic growth model with temperature-dependent intrinsic growth rate and carrying capacity. The analysis demonstrates that as global temperature rise, there is an observed increase in both the density of carriers and the number of infected individuals within population. Reducing anthropogenic carbon dioxide emissions may help in controlling the transmission of infectious diseases reliant upon carriers. Numerical simulations, using appropriate parameter values, confirm analytical findings. © The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2025.
MPPT Enabled LnC2n-2Impedance Network-Based Modular Multioutput Nonisolated Grid Connected Hybrid Converter With Reduced Leakage Current
(Institute of Electrical and Electronics Engineers Inc., 2024) Rajat Kumar Keshari; Rajeev Kumar Singh
A parasitic capacitance (CPV) is formed between a large conductive photovoltaic (PV) panel and the ground, resulting in a strong leakage current causing power loss, electromagnetic interference (EMI), and safety concerns while feeding the ac loads or grid. Introducing a transformer eliminates leakage current between the PV system and grid, but it is costly and introduces losses. Additionally, there is a growing interest in multioutput hybrid converters (MOHCs) that cater to existing ac and emerging dc utilities. Furthermore, these MOHCs use the same set of switches for simultaneous dc and ac operations, compromising between the duty cycle (d) and modulation index (mi), where their sum does not exceed one. To address these challenges, this article proposes a maximum power point tracking (MPPT) enabled LnC2n-2 impedance-network based modular nonisolated grid-connected MOHC with reduced leakage current. The proposed MOHC is expandable with n stages, and at higher n, it achieves higher voltage gains at lower d, providing a broader operating range for mi. Thus, a standard voltage rating is achievable despite the constraint where the sum of d and mi does not exceed one. Furthermore, the proposed MOHC uses LnC2n-2 impedance network at the input side thus, it is free from EMI interference unlike the conventional voltage source inverter-based MOHC. To illustrate this concept, a prototype of a basic L2C2 impedance-network MOHC for n = 2 is developed, enabled with an incremental conductance MPPT algorithm, and connected to the grid was tested up to 960 W. The converter's performance is evaluated under steady-state, dynamic, MPPT, and grid-connected conditions. © 1982-2012 IEEE.
PRAYAS: individual patient data meta-analysis database for Pooled Research and Analysis for Yielding Anemia-free Solutions in India
(Frontiers Media SA, 2025) Anuj Kumar Pandey; Anju Pradhan Sinha; Ramu Rawat; Ranadip Chowdhury; Shivaprasad S. Goudar; Jitender Nagpal; Shrey A. Desai; Avula Laxmaiah; Basany Kalpana; Sadhana Ramchandra Joshi; Chittaranjan Sakerlal Yajnik; Aparna Mukherjee; Pratibha K. Dwarkanath; Priyanka Gupta Bansal; Molly Jacob; Shinjini Bhatnagar; Komal H. Shah; Debarati Mukherjee; Amlin Shukla; Raghu Pullakhandam; Varsha S. Dhurde; Aditi A. Apte; Rajeev Kumar Singh; Aakriti Gupta; Yamini Priyanka; Usha Dhingra; Ravi Prakash Upadhyay; Sutapa Bandyopadhyay B Neogi; Manjunath Somappa Somannavar; Anirban N. Mandal; Gayatri Desai; Shantanu Sengupta; Shailendra Dandge; Girija Narendrakumar Wagh; Urmila S. Deshmukh; Gunjan Kumar; Anura Vishwanath Kurpad; Gurudayal Singh Toteja; Nikhitha Mariya John; Shailaja Sopory; Somen Saha; Giridhar R. Babu; Anandika Suryavanshi; Ravindranadh Palika; Archana Behram Patel; Radhika K. Nimkar; Gaurav Raj Dwivedi; Umesh S. Kapil; Dilip Raja; Arup Dutta; Sunita Taneja; Diksha Gautam; Avinash Kavi; Swapnil Rawat; Kapil Dave; Rajiva Raman; Catherine L. Haggerty; Sanjay Kewalchand Lalwani; Prachi Ravindra Phadke; Alka Turuk; Tinku S. Thomas; Neena Bhatia; Manisha Madai Beck; Lovejeet Kaur; Aakansha Shukla; Ravi Deepa; Lindsey Mina Locks; Dhiraj M. Agarwal; Raja Sriswan Mamidi; Harshpal Singh Sachdev; Rounik Talukdar; Sayan Das; Nita Bhandari; Ranjana A. Singh; S. Yogeshkumar; Ramasheesh Yadav; Purushotham Sudhakar Reddy; Sanjay A. Gupte; S. Rasika Ladkat; Zaozianlungliu Gonmei; Swati Rathore; Dharmendra Sharma; Apurva Kumar Pandya; Yamuna Ana; Patricia L. Hibberd; Himangi Govind Lubree; Anwar Basha Dudekula; Priti Rishi Lal; Pearlin Amaan Khan; Aruna Verma; Umesh S. Charantimath; Indrapal Ishwarji Meshram; Karuna N. Randhir; Onkar Deshmukh; Ashok Kumar Roy; Obed John; Nolita Dolcy Saldanha; Ashish R. Bavdekar; Raj Kumar; Shyam Prakash
Purpose: The PRAYAS Individual Patient Data Meta-analysis (IPD-MA) database aims to estimate the prevalence of anemia among children under 18 years, non-pregnant and non-lactating (NPNL) women, and pregnant women (by trimester), with further stratification by age group, year, and region of India. Beyond prevalence, it seeks to address the etiological contribution of iron and other erythropoietic micronutrient deficiencies and to evaluate the effectiveness of anemia prevention and treatment interventions, including factors associated with non-response. This will directly support India’s “test–treat–track” approach under the Anemia Mukt Bharat program. Participants: Children (0–18 years), pregnant women, and NPNL women in India. Findings to date: The database currently includes 88 datasets (1994–2023), with 319,721 participants for prevalence analysis—children (19,762), NPNL women (17,883), and pregnant women (282,076). Intervention studies comprise 59,292 participants—children (13,435), NPNL women (11,594), and pregnant women (34,263). Over half the datasets (55.7%, 49/88) are randomized controlled trials, while 35.2% (31/88) are observational. Geographically, 43.2% (38/88) are from northern India, 22.7% (20/88) from the west, and 18.2% (16/88) from the south. Most studies (67%, 59/88) are community-based. Median ages were 26 years (IQR 23–32) for NPNL and 23 years (IQR 21–25) for pregnant women, while children’s data covered 6 months to 18 years. Mean gestational age at enrollment in pregnancy was 10.24 weeks (SD 17.65). Of the total sample, 10.8% had complete blood count data, 9% ferritin, and 4.5% vitamin B12. Among interventions, pregnant women received intravenous iron sucrose, ferric carboxymaltose, iron isomaltoside, combined IV iron with vitamin B12/folic acid/niacinamide, integrated packages, and low-dose calcium supplementation. NPNL women were often part of trials comparing 60 mg daily ferrous sulfate with 120 mg on alternate days. Children’s interventions mainly included ferrous sulfate, food supplementation, and select Ayush-based approaches. Future plans: PRAYAS will generate robust, policy-relevant evidence to refine anemia prevention and treatment strategies. Findings will directly inform the Anemia Mukt Bharat program, supporting targeted, evidence-driven interventions to reduce anemia and associated health burdens across children, women, and pregnant populations in India. Clinical Trial Registration: OSF—https://doi.org/10.17605/OSF.IO/6YRXF. © © 2025 Pandey, Sinha, Rawat, Chowdhury, Goudar, Nagpal, Desai, Laxmaiah, Basany, Joshi, Yajnik, Mukherjee, Dwarkanath, Bansal, Jacob, Bhatnagar, Shah, Mukherjee, Shukla, Pullakhandam, Dhurde, Apte, Singh, Gupta, Priyanka, Dhingra, Upadhyay, Neogi, Somannavar, Mandal, Desai, Sengupta, Dandge, Wagh, Deshmukh, Kumar, Kurpad, Toteja, John, Sopory, Saha, Babu, Suryavanshi, Palika, Patel, Nimkar, Dwivedi, Kapil, Raja, Dutta, Taneja, Gautam, Kavi, Rawat, Dave, Raman, Haggerty, Lalwani, Phadke, Turuk, Thomas, Bhatia, Beck, Kaur, Shukla, Deepa, Locks, Agarwal, Mamidi, Sachdev, Talukdar, Das, Bhandari, Singh, Yogeshkumar, Yadav, Reddy, Gupte, Ladkat, Gonmei, Rathore, Sharma, Pandya, Ana, Hibberd, Lubree, Dudekula, Lal, Khan, Verma, Charantimath, Meshram, Randhir, Deshmukh, Roy, John, Saldanha, Bavdekar, Kumar, Prakash, Fawzi and Sazawal.
Reduced voltage stress hybrid multilevel inverter using optimised predictive control
(Institution of Engineering and Technology, 2020) Yash Khandelwal; Abhinandan Routray; Rajeev Kumar Singh; Ranjit Mahanty
This study presents a hybrid multilevel inverter (HMLI), capable of generating 19 voltage levels using a single DC voltage source. The peak inverse voltage of all the switches is restrained within the input DC source voltage in the proposed HMLI, which requires only three capacitors and 15 switches to achieve 19 voltage levels. In the proposed HMLI, one of the capacitors is self-balanced, while the other two capacitors are balanced using a modified finite control set model predictive control (MFCS-MPC). The proposed MFCS-MPC reduces the computation time considerably without affecting the performance of the system. The proposed HMLI is compared with some other HMLI topologies to show its merits in terms of active and passive components. Finally, the steady-state and dynamic performance of the proposed topology and its control algorithm is validated through simulation and experimentation for a 1 kW prototype. © 2020 Institution of Engineering and Technology. All rights reserved.
Source Apportionment of PM 10 Over Three Tropical Urban Atmospheres at Indo-Gangetic Plain of India: An Approach Using Different Receptor Models
(Springer New York LLC, 2019) Srishti Jain; Sudhir Kumar Sharma; Manoj Kumar Srivastava; Abhijit Chaterjee; Rajeev Kumar Singh; Mohit Saxena; Tuhin Kumar Mandal
The present work is the ensuing part of the study on spatial and temporal variations in chemical characteristics of PM 10 (particulate matter with aerodynamic diameter ≤ 10 μm) over Indo Gangetic Plain (IGP) of India. It focuses on the apportionment of PM 10 sources with the application of different receptor models, i.e., principal component analysis with absolute principal component scores (PCA-APCS), UNMIX, and positive matrix factorization (PMF) on the same chemical species of PM 10 . The main objective of this study is to perform the comparative analysis of the models, obtained mutually validated outputs and more robust results. The average PM 10 concentration during January 2011 to December 2011 at Delhi, Varanasi, and Kolkata were 202.3 ± 74.3, 206.2 ± 77.4, and 171.5 ± 38.5 μg m −3 , respectively. The results provided by the three models revealed quite similar source profile for all the sampling regions, with some disaccords in number of sources as well as their percent contributions. The PMF analysis resolved seven individual sources in Delhi [soil dust (SD), vehicular emissions (VE), secondary aerosols (SA), biomass burning (BB), sodium and magnesium salt (SMS), fossil fuel combustion, and industrial emissions (IE)], Varanasi [SD, VE, SA, BB, SMS, coal combustion, and IE], and Kolkata [secondary sulfate (Ssulf), secondary nitrate, SD, VE, BB, SMS, IE]. However, PCA-APCS and UNMIX models identified less number of sources (besides mixed type sources) than PMF for all the sampling sites. All models identified that VE, SA, BB, and SD were the dominant contributors of PM 10 mass concentration over the IGP region of India. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.