In VLSI, heat dissipation is of major concern, which can be reduced by using reversible logic gates in the implementation of the designs. Reversible computations have a broad range of applications in fields such as na...
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There is an emerging interest in all-optical, real-time, object plane image processing using metasurfaces. Here, their application to phase contrast imaging of transparent objects, including unstained biological cells...
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Diffractive neural networks (D2NNs) have been transformative in many fields, motivating the development of various optical computing components. However, these optical computing components, achieving in diffractive op...
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We have applied physics aware training (PAT) to diffractive deep neural networks (D2NN) consisting of multiple spatial light modulators (SLMs) to close the reality gap between the simulation model and the physical sys...
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Accurate analysis of the spray formation process is of utmost importance because it governs the fuel injector performance in air-breathing engines. Historically, optical diagnostic measurements in this region have bee...
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Heavy metals are one of the important components of water pollution. Heavy metals such as copper, zinc and cobalt are essential for the growth of living organisms as micronutrients. However, copper above critical leve...
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ISBN:
(纸本)9781510658592
Heavy metals are one of the important components of water pollution. Heavy metals such as copper, zinc and cobalt are essential for the growth of living organisms as micronutrients. However, copper above critical levels can pose serious problems for the environment and human health. The biospeckle observed in OCT have the potential to map dynamic activities inside the plants. We propose biospeckle optical coherence tomography (bOCT) and demonstrate that the technique can monitor biological activity in plants. In bOCT, the temporal speckle contrast variation of the OCT reflection signal is used as a parameter to characterize the internal activities of the aquatic plant (Myriophyllum). Plant stems were observed using the bOCT technique after 7 days of exposure to copper solutions of three different copper concentrations to 0, 30, 100 mg/l. In addition, statistical Interferometry Technique (SIT) system that is also a very sensitive optical measurement technique developed in our lab. SIT enables the direct observation of short-term displacement or extension / shrinkage of plant surface with precision of nanometer scale and on a time scale of seconds. Compared with the bOCT technique, it takes short time. It does not require 7 days of exposure time. In just 3 hours of experiment time, we observed that the plants were receiving heavy metal stress in the copper solution. Under the same heavy metal exposure conditions (7 days), enzyme activities in plants were also measured and analyzed to demonstrate the reliability of our two laser measurement techniques. It can be seen that the increase of copper solution has a significant effect on the activity of plants. It was not possible to observe the effects of 7 days of heavy metal exposure on plants by measuring their length or the color of their leaves. Compared with traditional bioassay methods, SIT technology is the fastest, followed by bOCT technology. Both technologies are advanced and can be used as a new method for the de
The use of a Travelling Wave Semiconductor optical Amplifier to create an all-optical half adder that satisfies the half adder's truth table. Without the need to convert to electrical impulses, SOA serves as an am...
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A New Reversible with SAL logic generalization has been introduced for the very first time and it will emerge as a promising technology for ultra-low power VLSI design styles. The main principle of this reversible cir...
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The article analyzes modern computing devices that perform multiplication operations. The main classes of multipliers built on the basis of both electronic and optical elements are considered. The main disadvantage of...
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We developed and implemented a deep optical neural network (ONN) design capable of performing large-scale training and inference in situ. For each elementary building block in the ONN, we introduce trainable parameter...
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