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HomeAuthorsLyshevski S.E.

Authors: Lyshevski S.E.

Design and Development of Photovoltaic Systems

Lyshevski S.E., Rochester Institute of Technology, US
Significant efforts have being concentrated on low-cost, efficient, renewable, sustainable, safe and portable energy sources and systems. Recently, different photovoltaic technologies, solar cells, energy storage and power electronics energy solutions have been emerged and under [...]

High-Power-Density Miniscale Renewable Energy Systems

Lyshevski S.E., Rochester Institute of Technology, US
This paper reports design, analysis, evaluations and characterization of miniscale self-sustained power generation systems. Our ultimate objective is to guarantee highly-efficient mechanical-to-electrical energy conversion, ensure premier wind- or hydro- energy harvesting capabilities, enable electric machinery [...]

High-Power-Density Miniscale Renewable Energy Systems

Lyshevski S.E., Rochester Institute of Technology, US
This paper reports design, analysis, evaluations and characterization of miniscale self-sustained power generation systems. Our ultimate objective is to guarantee highly-efficient mechanical-to-electrical energy conversion, ensure premier wind- or hydro- energy harvesting capabilities, enable electric machinery [...]

Design and Development of Photovoltaic Systems

Lyshevski S.E., Rochester Institute of Technology, US
Significant efforts have being concentrated on low-cost, efficient, renewable, sustainable, safe and portable energy sources and systems. Recently, different photovoltaic technologies, solar cells, energy storage and power electronics energy solutions have been emerged and under [...]

Genomic Mappings and Frequency Domain Analysis

Lyshevski S.E., Rochester Institute of Technology, US
We study the feasibility of analysis and the evaluation of large-scale genomic and proteomic data by applying frequency concepts. The frequency-domain estimates and measures lead to the informative analysis departing from statistical methods. The frequency [...]

Neuromorphic Logic Networks and Robust Stochastic Computing Under Large Perturbations and Uncertanties

Lyshevski S.E., Rochester Institute of Technology, US
This paper contributes to robust fault-tolerant neuromorphic computing for expected nano-centric processing hardware. We develop: (a) A library of neuromorphic networks for elementary logic function in order to enable the design of an arbitrary complexity [...]

High-Fidelity Modeling of Single Molecule Quantum Electronic Devices

Lyshevski S.E., Rochester Institute of Technology, US
Departing from two-terminal molecular electronic devices, this paper examines multi-terminal MEdevices. These devices are envisioned to be utilized in emerging molecular gates (Mgates) and neuronal hypercells for expected molecular integrated circuits. High-fidelity modeling and heterogeneous [...]

Weak Magnetic Fields Sensing Using Soft Ferrite Nanoparticles and MEMS

Lyshevski S.E., Rochester Institute of Technology, US
We perform the feasibility analysis of sensing weak magnetic fields by using soft ferrite nanoparticles embedded in molecular complexes. The sensing mechanisms are based on the deflection of molecular complexes and induced strain due to [...]

Control of MEMS-Technology Axial Topology MicroServos

Lyshevski S.E., Rochester Institute of Technology, US
Concurrent microsystems design, optimization, data-intensive analysis and hardware-software co-design of digital high-performance microelectromechanical systems (MEMS) have become major challenging themes. The major goal of this paper is to report-and-apply viable methodologies for design–and–implementation of MEMS [...]

Photon-Induced Biomolecular Sensing and Processing: Towards Engineering, Science and Medical Applications

Lyshevski S.E., Rochester Institute of Technology, US
This paper discusses and researches photon-induced sensing and processing exhibited by various vertebrates and invertebrates. In particular, rhodopsin photon receptor functionality and energetics are examined by applying quantum mechanics. We focus on fundamentals in order [...]

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