Jitendra Kumar Das

ORCID: 0000-0003-4249-577X
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About
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Research Areas
  • Advancements in Semiconductor Devices and Circuit Design
  • Semiconductor materials and devices
  • Fractal and DNA sequence analysis
  • Machine Learning in Bioinformatics
  • Integrated Circuits and Semiconductor Failure Analysis
  • RNA and protein synthesis mechanisms
  • Silicon Carbide Semiconductor Technologies
  • Low-power high-performance VLSI design
  • Analog and Mixed-Signal Circuit Design
  • Forest Management and Policy
  • Nanowire Synthesis and Applications
  • Machine Fault Diagnosis Techniques
  • Ferroelectric and Negative Capacitance Devices
  • EEG and Brain-Computer Interfaces
  • Genomics and Phylogenetic Studies
  • Advanced Memory and Neural Computing
  • Gear and Bearing Dynamics Analysis
  • Fault Detection and Control Systems
  • Forest ecology and management
  • VLSI and Analog Circuit Testing
  • Digital Filter Design and Implementation
  • Neuroscience and Neural Engineering
  • Medical Image Segmentation Techniques
  • Brain Tumor Detection and Classification
  • Supply Chain and Inventory Management

KIIT University
2015-2024

National Institute Of Technology Silchar
2024

Indian Institute of Technology Bhubaneswar
2021

Fore School of Management
2016-2017

Huazhong University of Science and Technology
2016

National Institute of Technology Rourkela
2008

Indian Institute of Management Lucknow
2002-2007

Yahoo (United Kingdom)
2006

Indian Institute of Management Ahmedabad
2004

Hewlett-Packard (United States)
2002

In recent years, the IoT has emerged as most promising technology in key evolution of industry 4.0/industry 5.0, smart home automation (SHA), cities, energy savings and many other areas wireless communication. There is a massively growing number static mobile devices with diversified range speed bandwidth, along demand for high data rates, which makes network denser more complicated. this context, next-generation communication technology, i.e., sixth generation (6G), trying to build up base...

10.3390/s22093438 article EN cc-by Sensors 2022-04-30

We propose a general architecture and implementation for the autonomous assessment of health arbitrary service elements, as necessary prerequisite to self-control. describe engine, central component our proposed 'self-awareness control' architecture. The engine combines domain independent statistical analysis probabilistic reasoning technology (Bayesian networks) with dependent measurement collection evaluation methods. resultant enables open, non-hierarchical communications about element...

10.1109/inm.2001.918070 article EN 2002-11-13

Abstract The progress in IC miniaturization dictated by Moore’s Law has taken a leap from mere circuit integration to IoT enabled System-on-Chip (SoC) deployments. Such systems are connoted contemporary advancements the semiconductor industry roadmaps namely, ‘More-Moore’ and ‘More-than-Moore’ (MtM). For meaningful of digital non-digital blocks, power performance tradeoff is essential for maximum fruitful utilization silicon area. Using techniques under MtM nomenclature allows use...

10.1088/1402-4896/ad2da2 article EN other-oa Physica Scripta 2024-02-27

Braille-a model introduced to reduce the illiteracy rate among visually challenged people. There has been a lot of scope for conversion English language Braille but, problem arises when masses are unable understand communication by This paper focuses on code representing Odia language(a widely spoken in East India) into word as text. For this, image processing using MATLAB technique provides suitable platform perform segmentation cell pattern selection and hence, letter recognition. Data...

10.1109/ablaze.2015.7154983 article EN 2015-02-01

Static Random Access Memory (SRAM) is one of the most crucial and critical memory devices used in today's technological environment. The continuous scaling CMOS technology significantly limits performance 6T SRAM cell terms leakage power stability. With remote chances to further improve MOSFET future, Carbon Nanotube Field Effect Transistors (CNTFETs) are being widely studied as possible alternatives. In this paper, conventional compared with CNTFET based cell. designed using Cadence...

10.1109/sceecs.2016.7509327 article EN 2016-03-01

Prediction of protein coding region has been one the challenging issues in context Genomic Signal Processing and bioinformatics. This paper presents a variation Singular Value Decomposition (SVD) algorithm based on pseudo EIIP mapping for exon location detection. The spectral peaks at 1/3 frequency component position DNA sequence are utilized to identify exons location. In addition this three distinct threshold formulations have used investigate performance terms various parameters like...

10.1109/mami.2017.8307887 article EN 2017-12-01

In the radio frequency (RF) front-end, LNA with good noise figure without degrading performance a very important component to be developed. This paper presents design of two topologies current reuse based Low Noise Amplifier (LNA) low figure. LNA1 describe fully integrated narrow band Differential Merged LNA-Mixer (DMLNAM) paths and LNA2 describes Two stage Dual Band (DB-LNA) for 1.8GHz 2.4GHz gain modes (high mode, mode) in 65nm technology. The proposed DMLNAM(LNA1) employ first path...

10.1109/primeasia.2015.7450478 article EN 2015-11-01

Recognition of exons in a Eukaryotic cell is an indispensable problem Genomic Signal Processing field to determine parts DNA sequences that carry protein information. A new hybrid approach using Kaiser window and Discrete Fourier Transform has been presented this paper for exon location detection. Furthermore various numerical mapping schemes have modeled tested locating the coding regions (EXONS) by exploiting Period-3 property exonic regions. The resulting power spectrum density curve...

10.1109/i2ct.2017.8226123 article EN 2017-04-01

This study discusses the fact that there are a host of possible associations firm can build in brand. Not all need to be built but rather those directly or indirectly affect consumers’ buying behaviour. The article identifies which brands positioned strongly and new for weaker position themselves. brand image has been studied using technique called perceptual mapping, have any number dimensions most common two dimensions. Any more challenge draw confusing interpret. Following logic,...

10.1177/0972150916645683 article EN Global Business Review 2016-06-18

Microcantilevers are the most simplified MEMS based devices in terms of fabrication as well operation. cantilever sensors have slowly evolved their applications and can be found almost everywhere today's life. The popularity these is growing day by mostly due to its unique advantages that they possess. Microcantilever enormous potential for detection various target molecules gaseous, vacuum liquid medium. employed physical, chemical biological sensing. They also wide range field medicine,...

10.1109/scopes.2016.7955515 article EN 2016-10-01

The work explores the performance estimation of Inverted 'T' (IT) architecture with JL topology i.e (ITJL-FinFET, device utilizes unwanted area among multi-fins bulk conduction mechanism) on SOI platform. For first time, crucial metrics ITJL FinFET are debated extensively by varying geometry dimensions at 22-nm node. gate length (LG), virtual underlap source (LUS) and drain (LUD), workfunction (ϕM) optimized 20-nm, 4-nm, 4.6 eV respectively. SS, DIBL switching current ratio (ION/IOFF)...

10.1149/2.0071804jss article EN ECS Journal of Solid State Science and Technology 2018-01-01

The main idea dominating the current trends in VLSI circuits is to offer large scale integration coupled with extensive power reduction solutions, even newer devices and topologies[1]-[2]. However significant increase gate switching energy results higher dissipation costly heat sinks. At that point, constrain of power, elective arrangements at various level deliberation are suggested. significantly reduced by adiabatic logic structure expense circuit complexity accomplish low dissipation,...

10.1109/icisc.2018.8399117 article EN 2018 2nd International Conference on Inventive Systems and Control (ICISC) 2018-01-01

After the fourth passive circuit element (Memristor) came to existence in 2008 its tremendous potential be used as a replacement for MOSFETS made mathematical modeling very imperative. Various device models memristor had been proposed earlier such linear ion drift model, non tunnel barrier and recently TEAM model. In case of model window function is needed restrict state variable within bounds. this paper we propose modified which accounts greater linearity than existing windows Jogelkar,...

10.1109/acct.2015.25 article EN 2015-02-01

Hereditary disease prediction in eukaryotic DNA using signal processing approaches is an incredible work bioinformatics. Researchers of various fields are trying to put forth a noninvasive approach forecast the disease-related genes. As diseased genes more random than healthy ones, this work, comparison gene made against ones. An adaptive method like functional link artificial neural network-based Levenberg–Marquardt filter has been proposed regard. For parameter upgradation, algorithm...

10.1080/15257770.2020.1780440 article EN Nucleosides Nucleotides & Nucleic Acids 2020-06-22

This perspective delineates the role government and business organizations play in mobilizing concerns emanating from environmental pollution suggests measures to mitigate same. It opines that catalyse acceptance of green products, sector have work tandem. government, central state, quasi-government bodies other local institutions should take initiative preferentially buy products with “Ecomark”-the mark for environment-friendly products. A company taking strategic decisions project itself...

10.1177/0256090920020102 article EN Vikalpa The Journal for Decision Makers 2002-01-01

It has become a challenging issue for the researchers to predict protein coding regions in context of Signal Processing and bioinformatics. This paper presents novel mapping technique hybrid approach combining Gauss windowing FFT techniques improved gene prediction. Mapping scheme plays an important role accuracy exon Some works well particular set but may not perform better some other predictions. The three base periodicity properties is used identify exons location. In addition this...

10.1109/mami.2017.8307889 article EN 2017-12-01

Accurate prediction and knowledge of adoption pattern is critical to formulate inventory strategies for any technology product. Prior researches in this area recommended that aggregate level demand models often forecast imprecise sales figure. We argue it essential recognize the specific dynamics prior strategies. This paper aims develop an Economic Order Quantity (EOQ) model find strategy a firm sells products’ over defined planning horizon. Demand considered follow trial-repeat purchase...

10.1080/02286203.2017.1407991 article EN International Journal of Modelling and Simulation 2017-11-30

This paper presents an in depth study and analysis which shows that the Double gate MOSFET has emerged as one of most favorable devices due to short channel effect immunity, off-current reduction ability more scaling possibility. The with less than 0.1 μm length can maintain near ideal subthreshold factor. also some new modifications existing devices, order keep up performance improvements, such Asymmetric Undoped MOSFET, Symmetric Underlap high K TMDG Spacer Graded Channel Dual-insulator MOSFET.

10.1109/icisc.2018.8398875 article EN 2018 2nd International Conference on Inventive Systems and Control (ICISC) 2018-01-01
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