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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Supply Chain Management
Anil Kumar, Anil
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Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Low power CMOS Gm-C based low pass filter for front end neural signal processing Dixit, Ashish; Srivastava, Geetika; Kumar, Anil; Shukla, Sachchida Nand
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp559-565

Abstract

The sub 100 µV voltage levels and sub 100 Hz frequency range makes the processing of most popular signal electroencephalograph (EEG) for brain functionality analysis, a complex task. The low frequency content of EEG (useful signals below 70 Hz) is commonly used for diagnosis of various brain related disorders making low-pass filter (LPF) a key block in front-end processing as noise reduction and resolution enhancement is crucial for precise recovery of these information. This paper is aimed to design reduced transconductance (Gm) based low power and small area CMOS LPF with cutoff frequency (fc) around 70 Hz. The proposed design is simulated using Cadence virtuoso tool and gives cut-off frequency of 72.958 Hz with low output noise of 3.0609 µV/√Hz and power consumption of 264.060 nW at operating voltage of 0.4 V. The simulation results show linearity of performance over -40 to 100 °C. Layout of circuit takes up area of 86.74×81.21 µm and post layout simulation shows 5% variation in power consumption as compared to pre layout simulations.
Supply Chain Management & RFID: an Analysis of Research Productivity Shrivastava, Divya Prakash; Kumar, Anil
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.2139

Abstract

Radio frequency identification (RFID) Supply chain management (SCM) are an integral part of today's business world. RFID increases productivity and convenience. There are several studies conducted in the past to examine the question of productivity of the authors. However, prior studies have not discussed in detail the research productivity patterns of individual RFID SCM authors together, across a relatively large number of journals and a lengthy time frame. Previous studies have also not established any benchmark of individual research productivity, regarding both the number of publications, i.e. quantity and the impact of those published papers, i.e. quality, required to place among the leading contributors in the field of RFID SCM collectively. The present study examined 631 global publications on "RFID Supply Chain Management" downloaded from Scopus database during 1999-2015. The positioning and associated percentiles of individual authors were calculated and prepared six quality and quantity metrics from equal credit method and direct count method; authors identify the aggregate productivity standards necessary for an individual author to be ranked at various places in the field of RFID SCM together.
Co-Authors Dixit, Ashish Shrivastava, Divya Prakash Shukla, Sachchida Nand Srivastava, Geetika