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arXiv 2024年

作者： Abdelraouf, Omar A.M. Wu, Mengfei Liu, Hong 2 Fusionopolis Way #08-03 Innovis 138634 Singapore Department of Materials Science and Engineering National University of Singapore 9 Engineering Drive 1 #03-09 EA 117575 Singapore

The development of miniaturized light sources with tunable functionality is crucial for advancing integrated photonic devices, enabling applications in quantum computing, communications, and sensing. Achieving tunable light emission after device fabrication remains a significant challenge, particularly when efficient amplification is required. Hybrid metasurfaces, which integrate several nanostructured materials to form optical resonators, have emerged as promising candidates to overcome these limitations by providing a high degree of flexibility in emission control and enhanced amplification. In this work, we demonstrate tunable amplified photoluminescence (PL) in nanocrystalline silicon (nc-Si) quantum dots (QDs) embedded in a hybrid metasurface consisting of amorphous silicon (a-Si) and a low-loss phase change material (PCM) antimony trisulfide (Sb2S3). The nc-Si QDs maintain a high PL efficiency and stability at elevated temperatures, offering reliable and tunable phase transitions in the PCM. The hybrid metasurface supports dual quasi-bound states in the continuum (BICs) to achieve Q-factors up to 225. The dual BIC cavity enables tunable amplified PL by a factor of 15 with a wavelength shift of up to 105 nm via dimensional modulation. Meanwhile, all-optical tunable PL emission across a 24 nm wavelength range has been achieved when PCMs are tuned from the amorphous to crystalline phase. Furthermore, we propose a high Q-factor metalens to focus the tunable amplified PL, extending the diffraction-limited focusing tunability into the near infrared (NIR). This work paves the way for highly efficient quantum light sources using reconfigurable nanophotonic devices in next-generation photonic systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Nanocrystalline silicon

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Downconversion Circuit in photonic Integrated Sensing System Based on an Optoelectronic Oscillator

Downconversion Circuit in Photonic Integrated Sensing System...

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Annual Siberian Russian Workshop on Electron devices and materials (EDM)

作者： Vladislav V. Ivanov Grigory S. Voronkov Aida G. Zakoyan Yana V. Aleksakina Ruslan V. Kutluyarov Elizaveta P. Grakhova Telecommunication Systems dpt. Ufa University of Science and Technology Ufa Russia

Today, optical sensors and their interrogation systems have received significant development. The frequency interrogation method showed its advances in different sensing applications. However, its structure based on an optoelectronic oscillator needs to improve with easy and non-expensive microwave frequency measurement methods. This paper considers a photonic integrated frequency interrogation scheme supplemented with a frequency converter for a liquid refractive index sensing system with a phase-shifting waveguide Bragg grating as a sensing element. This element performs as a notch filter in the optoelectronic oscillator feedback circuit. External influence (liquid refractive index changing) on the grating causes a Bragg wavelength shift. It, in turn, causes a microwave oscillations frequency change. The frequency downconverter reduces the measured frequency value, simplifying the sensing system's complexity and reducing costs. We performed the frequency interrogation system simulation for the case of liquid refractive index variation from 1.390 to 1.391. The microwave frequency at the optoelectronic oscillator output was 3.01 GHz to 13.49 GHz. The interrogation system speed was 12.5 MHz. We also briefly reviewed commercially available frequency downconverter integrated circuits and other components, and showed the possibility of the described scheme of practical implementation. One can apply the proposed scheme to various fluids analysis, including detecting and evaluating pathologies in blood and other biological materials.

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Bluetooth-based Voice-Activated Smart Home System using Arduino Uno for Cost-Effective Automation

Bluetooth-based Voice-Activated Smart Home System using Ardu...

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Trends in Material Science and Inventive materials (ICTMIM), International conference on

作者： GuruPriya M Aravind S Gayathri R Department. of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

The research introduces a cost-efficient voice-controlled home automation system based on products such as Arduino Uno and Bluetooth (HC-06) module. The main purpose of the system focuses on making home appliances accessible through voice commands for people who are elderly or physically challenged. The application proceeds by capturing audio from Android which converts voice to text command transmissions through Bluetooth to the Arduino for processing and appliance control procedures. The experimental tests proved the device’s capability to operate various devices reliably after receiving pre-defined instructions such as “ON”, “RED” and “OFF”. The research has confirmed that the operating system enables uninterrupted control along with restrained hardware necessities in confined systems. The main value of this work depends on its basic design requirements together with affordable cost and immediate functionality that operates independently of internet access or complex systems which support applications in regions with few resources. The presented solution fills the gap between hand-operated control systems and complete smart home integration by using voice detection and Bluetooth connections.

关键词： Home appliances Bluetooth Automation Operating systems Smart homes Speech recognition Control systems Security Reliability Older adults

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Phase-change materials-integrated MRR-type 2×2 optical switch based on slot-ridge waveguide structure

Phase-change materials-integrated MRR-type 2×2 optical swit...

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Science and Technology Innovation (IAECST), International Academic Exchange conference on

作者： Nuo Shi School of Microelectronics South China University of Technology Guangzhou China

All-optical computing has attracted attention for its faster computation speed and lower energy consumption compared to conventional electrical computing methods. Optical switches are the key basic units of optical computing devices. However, conventional optical switches suffer from the disadvantages of consuming external energy to maintain the switching state, high extinction ratio, and poor optical field modulation, which greatly limit the realization of large-scale photonic integrated circuits and optical pulse neural networks. In this paper, we utilize a Lumerical simulation platform to design a nonvolatile MRR-type 2 × 2 optical switch based on the phase-change materials Ge2Sb2Te5 (GST) using a slot-ridge waveguide, which possesses high extinction ratios of 25.31 dB at the THROUGH port and 8.97 dB at the DROP port. Changing the phase state of the GST modulates the transmission of the optical switch with a higher extinction ratio than previous optical switches. The absence of static power consumption in maintaining the phase state renders it very suitable for utilization in optical switch matrices and reconfigurable optical pulse neural networks, therefore presenting exciting prospects for these applications.

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An Integrated Approach to Energy Harvesting and Power Management systems: A Comprehensive Analysis

An Integrated Approach to Energy Harvesting and Power Manage...

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Automation and Computation (AUTOCOM), International conference on

作者： Kamred Udham Singh Vikash Bhavesh Kumar Sharma Teekam Singh Neeraj Varshney Dheeraj Agrawal School of Computing Graphic Era Hill University Dehradun India Appventurez Mobitech PVT LTD Greater Noida India Department of Master of Computer Applications GL Bajaj College of Technology & Management India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Department of Computer Engineering & Applications GLA University Mathura UP India Department of Information Technology Guru Ghasidas Vishwavidyalaya Bilaspur India

Implantable devices have significantly proved their reliability and effectiveness in the field of medicine as a result of their comprehensive assistance in a variety of areas that are related to the monitoring of patients and treatment in a variety of different ways. Furthermore, they contribute to the medical community’s efforts to identify and prevent illnesses via the use of their services. The fact that the devices are powered by batteries, on the other hand, is a reliance that has a number of negative consequences. For instance, its depletion might result in hindrance during surgical procedures or leakage from the body. Implicit research has proposed the use of biocompatible harvesters that are capable of sustaining the device consumption by producing power. This methodology has been proposed as a means of reducing the size of the battery or, in some circumstances, completely eliminating its utilisation. In order to develop harvesting systems, a wide variety of biocompatible materials, including as piezoelectric and triboelectric materials, may be used. Ultrasonic transducers, electromagnet generators, and photovoltaic panels are just a few examples of the low-grade power sources that may be used to power implanted medical equipment via the utilisation of bioenvironmental energy harvesting. Ultrasonic transducers have been used in a variety of research projects as energy harvesters for the purpose of providing power to implanted medical devices. A piezoelectric oscillator was implanted under the goat’s skin in order to collect the vibrational energy that was created by an ultrasonic transducer that was located outside of the power that was seen to be produced by the gearbox from the model that was provided. In their study, Tower et al. presented a system that has the potential to be utilised for the purpose of biological assessment and monitoring. The energy of an ultrasonic beam that is applied to the surface is converted into a high-frequency current by this

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Multi-Scale Modeling and Simulation Flow for Oscillatory Neural Networks for Edge computing 19

Multi-Scale Modeling and Simulation Flow for Oscillatory Neu...

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19th IEEE International New Circuits and systems conference (NEWCAS)

作者： Carapezzi, Stefania Delacour, Corentin Boschetto, Gabriele Corti, Elisabetta Abernot, Madeleine Nejim, Ahmed Gil, Thierry Karg, Siegfried Todri-Sanial, Aida Univ Montpellier LIRMM CNRS Microelect Dept Montpellier France IBM Res Zurich Dept Sci & Technol Ruschlikon Switzerland Silvaco Europe Cambridge England

ISBN: (纸本)9781665424295

An oscillatory neural network (ONN) is a neuromorphic computing paradigm based on encoding of information into the phases of oscillators. In this paper we present an ONN whose elemental unit, the "neuron", is implemented through a beyondCMOS device based on vanadium dioxide (VO2). Such ONN technology provides ultra-low power solutions for performing pattern recognition tasks, and it is ideally suited for edge computing applications. However, exploring the groundwork of the beyond-CMOS ONN paradigm is mandatory premise for its industry-level exploitation. Such foundation entails the building of a holistic simulation flow from materials and devices to circuits, to allow assessment of ONN performance. In this work we report results of this advanced designing approach with special focus over the VO2 oscillator. This establishes the ground to scale up to evaluate beyond-CMOS ONN functionalities for pattern recognition.

关键词： Oscillatory neural networks (ONN) density functional theory (DFT) technology computer aided design (TCAD) circuit simulation Internet-of-Things (IoT) edge artificial intelligence (edge AI) neuromorphic computing

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Artificial synapses enabled neuromorphic computing: from blueprints to reality

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NANO ENERGY 2022年第PartA期103卷

作者： Li, Junyan Shen, Zongjie Cao, Yixin Tu, Xin Zhao, Chun Liu, Yina Wen, Zhen Xian Jiaotong Liverpool Univ Sch Adv Technol Sch Sci Suzhou 215123 Peoples R China Chinese Univ Hong Kong Dept Biomed Engn Cent Ave Hong Kong Peoples R China Univ Liverpool Dept Elect & Elect Engn Liverpool L693GJ England Chinese Acad Sci Suzhou Inst Nanotech & Nanob SINANO Div Adv Nanomat Nanofabricat Facil Suzhou 215123 Peoples R China Soochow Univ Inst Funct Nano & Soft Mat FUNSOM Jiangsu Key Lab Carbon Based Funct Mat & Devices Suzhou 215123 Peoples R China

Emerging brain-inspired neuromorphic computing systems have become a potential candidate for overcoming the von Neuman bottleneck that limits the performance of most modern computers. Artificial synapses, used to mimic neural transmission and physical information sensing, could build highly robust and efficient computing systems similar to our brains. The employment of nanomaterials in the devices, and the device structures, are receiving a surge of interest, given the various benefits in better carrier dynamics, higher conductance, photonic interaction and photocarrier trapping, and the architectural feasibility with two and three-terminal devices. Moreover, the combination of artificial synapses and various nanomaterial-based active channels also enables visual recognition, multi-modality sensing-processing systems, hardware neural networks, etc., demonstrating appealing possibilities for practical applications. Here, we summarize the recent advances in synaptic devices based on low-dimensional nanomaterials, the novel devices with hybrid materials or structures, as well as implementation schemes of hardware neural networks. By the end of this review, we discuss the engineering issues including control methods, design complexity and fabrication process to be addressed, and envision the future developments of artificial synapse-based neuromorphic systems.

关键词： Artificial synapse Low -dimensional Nanomaterial Synaptic device Neuromorphic computing Hardware

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Development of Millimeter Wave Communication Using Dielectric Resonator Antennas Using Substrate Technology

Development of Millimeter Wave Communication Using Dielectri...

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Communication & computing (WCONF), World conference on

作者： G. Santhakumar R. Muthukumar Sri Krishna College of Technology Coimbatore India Erode Sengunthar Engineering College Erode India

ISBN: (数字)9798350395327

ISBN: (纸本)9798350395334

Communication systems have become an integral part through the incorporation of advanced technologies. The millimeter-wave communication systems are developed using the aid of substrate technology integrated with deep learning techniques. They represent a greater leap in the field of wireless communication. Millimeter-wave frequencies range from 30 GHz to 300 GHz that have the capacity of higher data rates. Dielectric resonator antennas are used in millimetre-wave applications due to their compact size and efficiency. The antennas are designed using dielectric materials which have the capacity to resonate at particular frequencies. The performance of these antennas is improved using the substrate technology accompanied with deep learning techniques. They provide the optimum solution for integration with communication devices. The miniaturization of antennas is implemented using higher dielectric constant substrates. The complexity of the millimeter-wave is overcome using the aid of k-means optimization techniques. Thus, adaptive communication solutions help in the development of a millimeter wave communication system. Thus, the communication reliability is attained using these optimization techniques with estimating the channel conditions in real-time environments.

关键词： Wireless communication Deep learning Millimeter wave technology Resonant frequency Dielectric resonator antennas Real-time systems Reliability Millimeter wave communication Substrates Optimization

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Laser Enhanced Direct Print Additive Manufacturing of Embedded Circular Cross-Section Optical Fiber Interconnects for Board Level computing devices

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ADDITIVE MANUFACTURING 2020年 34卷

作者： Tipton, Roger B. Hou, Dianhao Rojas-Nastrucci, Eduardo A. Weller, Thomas M. Bhethanabotla, Venkat R. Univ S Florida Funct Mat & Mfg Inst Tampa FL 33612 USA Univ S Florida Dept Chem & Biomed Engn Tampa FL 33612 USA Embry Riddle Aeronaut Univ Wireless Devices & Electromagnet Lab Dept Elect Comp Software & Syst Engn Daytona Beach FL 32114 USA Oregon State Univ Sch Elect Engn & Comp Sci Corvallis OR 97331 USA

Integrated photonics have many compelling advantages for computing and communication applications, including in high-speed and extremely wide bandwidth operations. Current systems are typically hybrid assemblies of packaged photonic devices where printed circuit boards often serve to route electrical signals and power, and in some cases, have runs of optical fibers. We present a flexible, low cost assembly method of optical interconnects for photonic systems that could enable higher transmission rates, lower power requirements, improved signal integrity and timing, less heat generation, and improved security of communication signals. The new process is based on laser enhanced direct print additive manufacturing (LE-DPAM) that combines fused deposition modeling (FDM) of plastic, micro-dispensing of rubber-like materials, and picosecond laser subtraction. The process is demonstrated by fabricating few-mode and multi-mode optical fibers in a controlled manner such that compact, 3-dimensional optical interconnects can be printed along non-lineal paths. We have produced working optical interconnects with fiber core diameters from 70-mu m to as small as 12-mu m. Our results demonstrate surface roughness of less than 100 nm, and optical transmitted power of 63% that of a commercial fiber, for proof of concept devices. We anticipate these devices to be a starting point in the development of more sophisticated electro-optical computing devices using this new LE-DPAM technique. The LE-DPAM approach could lead to large scale integrated photonic computing devices that would replace our current generation of servers, computers, and phones.

关键词： Optical fiber interconnects Additive manufacturing 3D printing Laser enhanced direct print additive manufacturing

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Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis

Inspection of EEG Signals for Noninvasive Blood Glucose Moni...

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2023 IEEE International Symposium on Medical Measurements and applications, MeMeA 2023

作者： Igbe, Tobore Samuel, Oluwarotimi Williams Li, Jingzhen Kulwa, Frank Kandwal, Abhishek Nie, Zedong University of Virginia Center for Diabetes Technology Department of Psychiatry and Neurobehavioural Sciences School of Medicine CharlottesvilleVA United States University of Derby School of Computing and Engineering DerbyDE22 1GB United Kingdom Center for Minimally Invasive and Surgical Devices Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guandong Shenzhen China Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems and Shenzhen College of Advanced Technology Ucas Guangdong Shenzhen518055 China Shoolini University Department of Physics and Materials Science Himachal Pradesh India

ISBN: (纸本)9781665493840

Prediabetes is a metabolic disorder where the blood glucose (BG) level is higher than normal but not high as diabetes;early diagnosis can prevent health complications and death. However, to determine the BG level, it is required to prick the finger, which causes pain and discomfort. To eliminate this problem, there is a need to investigate noninvasive techniques to estimate BG values and continuous BG monitoring. In this paper, we investigated the changes in electroencephalogram (EEG) frequency parameters that have been scarcely considered for prediabetes diagnosis. We analyzed EEG signals after carrying out an oral glucose tolerance test on 25 participants. Five frequency bands of EEG signals were obtained continuously in 3 positions;frontal (F), occipital (O), and parental (P). The analysis is performed using a boxplot to examine the pattern of the recorded signals. The result shows that the EEG signal from the O position has a sensitivity of 95.3% in the left hemisphere, the P location has 90.3% in the right hemisphere, and F has 93% in the left hemisphere. This observation shows the appropriate location and the combination of EEG frequency parameters, such as the alpha and beta mean power from O and P, which can be integrated into a wearable device to provide a promising clinical solution for noninvasive blood glucose monitoring and prediabetes diagnosis. © 2023 IEEE.

关键词： Electroencephalography

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