Search

Your search keyword '"Mandal, Soumyajit"' showing total 419 results
Start Over Author "Mandal, Soumyajit"
419 results on '"Mandal, Soumyajit"'

152. Software-defined Radios to Accelerate mmWave Wireless Innovation

Author

Zheng, Kai, primary, Jornet, Josep, additional, Polese, Michele, additional, Zorzi, Michele, additional, Buckwalter, Jim, additional, Rodwell, Mark, additional, Mandal, Soumyajit, additional, Wang, Xin, additional, Haarla, Jaakko, additional, Semkin, Vasilii, additional, Dhananjay, Aditya, additional, Mezzavilla, Marco, additional, Madanayake, Arjuna, additional, Bharadwaj, Shubhendu, additional, Ariyarathna, Viduneth, additional, Gosain, Abhimanyu, additional, Melodia, Tommaso, additional, and Restuccia, Francesco, additional

Published
2019
Full Text
View/download PDF

156. MillimeTera

Author

Polese, Michele, primary, Restuccia, Francesco, additional, Gosain, Abhimanyu, additional, Jornet, Josep, additional, Bhardwaj, Shubhendu, additional, Ariyarathna, Viduneth, additional, Mandal, Soumyajit, additional, Zheng, Kai, additional, Dhananjay, Aditya, additional, Mezzavilla, Marco, additional, Buckwalter, James, additional, Rodwell, Mark, additional, Wang, Xin, additional, Zorzi, Michele, additional, Madanayake, Arjuna, additional, and Melodia, Tommaso, additional

Published
2019
Full Text
View/download PDF

158. A Low-Cost, Open Source, Self-Contained Bacterial EVolutionary biorEactor (EVE)

Author

Gopalakrishnan, Vishhvaan, Krishnan, Nikhil P., McClure, Erin, Pelesko, Julia, Crozier, Dena, Williamson, Drew F.K., Webster, Nathan, Ecker, Daniel, Nichol, Daniel, Mandal, Soumyajit, Bonomo, Robert A., and Scott, Jacob G

Abstract

Recently, a concerted effort has been made to study the evolution of drug resistance in organisms at increasingly smaller time scales and in a high-throughput manner. One effective approach is through the use of customized bioreactors – devices that can continuously culture bacteria and monitor this growth in real time. These devices can be technically challenging and expensive to implement for scientists, let alone students or teachers who seek an innovative and intuitive way of studying evolution. We seek to provide a flexible and open source automated continuous culture device framework for the academic setting to study biological concepts such as population dynamics and evolution; a framework that is capable of replicating the functionality of many prominent and expensive bioreactors in the market today. Within the educational environment, our goal is to foster interaction and interest between the engineering and biological fields by allowing teachers and students to build their own systems and design experiments on the proposed open framework. We present a continuous culture device designed for bacterial culture that is easily and inexpensively constructed, lends itself to evolution experiments, and can be used both in the academic and educational environments. Author summary The continuous monitoring of population growth in the presence of cytotoxic selective pressures can reveal new insights into resistance development and corresponding susceptibilities. Bioreactors have been proposed to accomplish this task yet are costly and without formal build instructions or software. In this article, we present a framework for a bioreactor, called the EVolutionary biorEactor (EVE), that will enable users to economically implement hardware and create circuits through diagrams. Hardware communicates with open-source software, written in Python, to create a flexible yet fully featured bioreactor that incorporates many modes of operation. A single EVE controls many Culture Units simultaneously, each with the capability of running its own experiment or a replicate of the same experiment to measure stochastic differences during evolution. While currently built for bacterial culture, this framework can be adapted in many ways from continuous mammalian cell culture to the measurement of multi-population dynamics in various environments. In the educational setting, this easy-to-implement framework will enable educators to use a hands-on approach to evolution in their lessons and extracurricular activities. For scientists, we propose this open framework as a tool that can be used and modified to investigate new areas in population dynamics and evolution.

Published
2019
Full Text
View/download PDF

160. A low-cost, open-source evolutionary bioreactor and its educational use

Author

Gopalakrishnan, Vishhvaan, primary, Crozier, Dena, additional, Card, Kyle J., additional, Chick, Lacy D., additional, Krishnan, Nikhil P., additional, McClure, Erin, additional, Pelesko, Julia, additional, Williamson, Drew F.K., additional, Nichol, Daniel, additional, Mandal, Soumyajit, additional, Bonomo, Robert A., additional, and Scott, Jacob G., additional

Published
2019
Full Text
View/download PDF

189. A Radio Frequency Analog Computer for Computational Electromagnetics.

Author

Udayanga, Nilan, Madanayake, Arjuna, Hariharan, S. I., Liang, Jifu, Mandal, Soumyajit, Belostotski, Leonid, and Bruton, Len T.

Subjects
COMPUTATIONAL electromagnetics, ANALOG computers, RADIO frequency, MAGNITUDE (Mathematics), WAVE equation
Abstract

Software-programmable analog computing is proposed for power- and area-efficient acceleration of computational electromagnetics. All-pass filters are employed to realize a continuous-time finite-difference time-domain (FDTD) algorithm. A CMOS realization of an analog computer (AC) that solves the 1-D wave equation using this time-continuous FDTD algorithm at an equivalent temporal update rate of 625 MHz is reported (180-nm CMOS, chip area of 4 mm2, supply voltage = 1.8 V, and power = 200 mW). The AC operates at up to 30 MHz over 18 discrete spatial points. Analog arithmetic operations (multiply and add) are realized in parallel using op-amps with gain–bandwidth product > 500 MHz. Computational grid boundaries can be configured to simulate multiple propagation scenarios. The AC is calibrated using a stochastic optimization algorithm. The normalized mean squared error of the AC varies between −10 and −20 dB within the computational grid. The power- and area-normalized performance of the design improves on earlier integrated ACs by up to three orders of magnitude. The chip is also 26 $\times $ faster than a C-based software FDTD solver running on an Intel Xeon CPU and $420\times $ faster than CUDA FDTD code running on an NVIDIA GeForce GTX 1080 Ti GPU, albeit at lower accuracy (~6 bits). Finally, the AC is $2.8\times $ faster than a digital systolic array FDTD processor realized using a Xilinx RFSoC ZCU1275 and has 15 $\times $ better power efficiency (computations/W). [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

190. Coaxial probe for nuclear magnetic resonance diffusion and relaxation correlation experiments.

Author

Yiqiao Tang, Hurlimann, Martin, Mandal, Soumyajit, Paulsen, Jeffrey, and Yi-Qiao Song

Subjects
NUCLEAR magnetic resonance, ELECTRONIC probes, DIFFUSION, RELAXATION phenomena, FLUIDS
Abstract

A coaxial nuclear magnetic resonance (NMR) probe is built to measure diffusion and relaxation properties of liquid samples. In particular, we demonstrate the acquisition of two-dimensional (2D) distribution functions (T1-T2 and diffusion--T2), essential for fluids characterization. The compact design holds promise for miniaturization, thus enabling the measurement of molecular diffusion that is inaccessible to conventional micro-NMR setups. Potential applications range from crude oil characterization to biomolecular screening and detections. [ABSTRACT FROM AUTHOR]

Published
2014
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results