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2022 IEEE Photonics Conference, IPC 2022

作者： Cao, Yu Lin, Hong-Lin Dogheche, Elhadj Danner, Aaron National University of Singapore Department of Electrical and Computer Engineering Singapore Université Polytechnique Hauts-de-France Institute of Electronic Microelectronics and Nanotechnology Valenciennes France

We present metal implantation in thin-film barium titanate-on-insulator by diffusing various metals and the induced refractive index changes. Up to 0.17 of index change has been observed with some metals, and design a... 详细信息

ISBN: (数字)9781665434874

ISBN: (纸本)9781665434874

关键词： Barium titanate

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An Improved Bat Optimization Algorithm for Knowledge Discovery for Routing and Energy Efficiency in the Internet of Things Environment

An Improved Bat Optimization Algorithm for Knowledge Discove...

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2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Ramachandran, R. Kannagi, L. Maria Rubiston, M. Karthikeyan, Govindaraj Ratheesh, R. Abijith, G.R. Rajalakshmi Engineering College Department of Biomedical Engineering Chennai India Sri Sairam Institute of Technology Department of Computer and Communication Engineering West Tambaram Chennai44 India S.A. Engineering College Department of Ece Chennai India Department of Vlsi Microelectronics Chennai India Agni College of Technology Department of Electronics and Communication Engineering Chennai600130 India St. Joseph's Institute of Technology Department of Information Technology OMR Chennai600119 India

ISBN: (纸本)9798331543617

An improved optimization algorithm, IBA, enhances routing and energy efficiency in IoT environments. As energy conservation becomes increasingly vital in our technological landscape, managing resource consumption is crucial for sustainability. The Internet of Things (IoT) has revolutionized connectivity, enabling diverse applications across various sectors, from smart homes to industrial systems. The impending 5G technology promises to accelerate this transformation further, offering unprecedented speed and coverage. However, with the exponential growth in mobile data transmission, network operators face the challenge of meeting escalating demands. Bio-inspired optimization techniques, like the Bat Algorithm (BA), have emerged as promising solutions due to their computational efficiency and applicability to IoT challenges. The proposed IBA builds upon BA principles, introducing novel enhancements to address specific limitations. Through methodical testing, IBA shows better results in packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead than current protocols. These findings highlight the capability of optimized algorithms to improve IoT system performance and address changing application needs. © 2024 IEEE.

关键词： Bat Algorithm (BA) Improved Routing and Knowledge Discovery Internet of Things (IoT)

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Phase-controlled van der Waals growth of wafer-scale 2D MoTe_(2) layers for integrated high-sensitivity broadband infrared photodetection

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Light(Science & Applications) 2023年第1期12卷 77-88页

作者： Di Wu Chenguang Guo Longhui Zeng Xiaoyan Ren Zhifeng Shi Long Wen Qin Chen Meng Zhang Xin Jian Li Chong-Xin Shan Jiansheng Jie School of Physics and Microelectronics Key Laboratory of Material Physics Ministry of EducationZhengzhou UniversityZhengzhouHenan 450052China Department of Electrical and Computer Engineering University of California San DiegoLa JollaCA 92093USA Institute of Nanophotonics Jinan UniversityGuangzhouGuangdong 511443China Institute of Functional Nano and Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhouJiangsu 215123China

Being capable of sensing broadband infrared(IR)light is vitally important for wide-ranging applications from fundamental science to industrial ***-dimensional(2D)topological semimetals are being extensively explored for broadband IR detection due to their gapless electronic structure and the linear energy dispersion ***,the low charge separation efficiency,high noise level,and on-chip integration difficulty of these semimetals significantly hinder their further technological ***,we demonstrate a facile thermal-assisted tellurization route for the van der Waals(vdW)growth of wafer-scale phase-controlled 2D MoTe_(2)***,the type-ⅡWeyl semimetal 1T'-MoTe_(2)features a unique orthorhombic lattice structure with a broken inversion symmetry,which ensures efficient carrier transportation and thus reduces the carrier *** characteristic is a key merit for the well-designed 1T'-MoTe_(2)/Si vertical Schottky junction photodetector to achieve excellent performance with an ultrabroadband detection range of up to 10.6μm and a large room temperature specific detectivity of over 108 Jones in the mid-infrared(MIR)***,the large-area synthesis of 2D MoTe_(2)layers enables the demonstration of high-resolution uncooled MIR imaging capability by using an integrated device *** work provides a new approach to assembling uncooled IR photodetectors based on 2D materials.

关键词： hinder enable difficulty

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Exponential dependence of photocurrent on reciprocal of channel length in amorphous inzno thin-film transistors with short channel 59th

Exponential dependence of photocurrent on reciprocal of chan...

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59th International Symposium, Seminar and Exhibition, Display Week 2022

作者： Chen, Jie Zhou, Xiaoliang Tang, Fanyou Huang, Tengyan Liu, Hao Lu, Lei Zhang, Shengdong School of Electronic and Computer Engineering Peking University Shenzhen China Institute of Microelectronics Peking University Beijing China Active Matrix Display Beijing Engineering Research Center Beijing China

With downscaling the channel length (L) of amorphous InZnO (a-IZO) thin-film transistors (TFTs), the photocurrent (Iph) of long-channel TFTs evolved linearly with 1/L, while an exponential dependence of Iph on 1/L was found for TFTs with relatively shorter channels, resulting in a significantly enhanced photo-responsivity with short-channel a-IZO phototransistors. This is attributed to a source barrier lowering effect happening in the short-channel photo-TFTs under illumination. Such an accelerated Iph rising with L downscaling could be used to implement high responsivity of photoelectric detectors and image sensors. © 2022. John Wiley and Sons Inc. AIAA. All rights reserved.

关键词： Zinc compounds

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Effect of wavelength on photoresponse characteristics of amorphous InZnO thin film transistors

Effect of wavelength on photoresponse characteristics of amo...

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International Conference on Display Technology, ICDT 2022

作者： Liu, Hao Zhou, Xiaoliang Huang, Tengyan Chen, Jie Tang, Fanyou Lu, Lei Zhang, Shengdong School of Electronic and Computer Engineering Peking University Shenzhen China Institute of Microelectronics Peking University Beijing China Active Matrix Display Beijing Engineering Research Center Beijing China

The steady-state and dynamic photoresponse characteristics of amorphous InZnO thin-film transistors (a-IZO TFTs) under illumination with different wavelengths (λ) were investigated. It is observed that the steady-state responsivity (R) decreases exponentially with the increase of λ, accompanied by a slower increasing rate of photoresponse current (Iph) with illumination time. Besides, for the λ of 525 nm, which is nearly the cutoff wavelength estimated from the steady-state photoresponse characteristics, obvious Iph can be gradually observed when the a-IZO TFT is illuminated for longer than 80 s with the power density of 250 μW/cm2. It is inferred that the difference between the steady-state and dynamic photoresponse characteristics of the a-IZO TFT for λ of 525 nm is caused by the slow generation rate of ionized oxygen vacancies under illumination. © 2022, John Wiley and Sons Inc. All rights reserved.

关键词： Thin film transistors

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Advanced IoT Intrusion Detection for Intelligent Homes using Optimized Cross-Contextual Transformers with a Dynamic City Game Framework 8

Advanced IoT Intrusion Detection for Intelligent Homes using...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Muthulingam, Gurusigaamani Ayyanar Dhasmana, Gulshan Purushothaman, S. Honnaiah, Sharath Ronald, Bindu Soudagar, Manzoore Elahi M. Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Krishnankoil626126 India Graphic Era Deemed to be University Department of Computer Science & Engineering Dehradun248 002 India Sathyabama Institute of Science and Technology Department of Electronics and Communication Tamil Nadu Chennai India Credit Acceptance Karnataka Bangalore India Vimannagar Maharashtra Pune411014 India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Vlsi Microelectronics Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350376425

Ensuring data security against unauthorized access in smart homes is crucial, but implementing deep learning methods can be challenging due to potential issues such as accuracy loss, time complexity, and increased error rates. This study introduces a novel approach to address these challenges: the Securing Intelligent Home with a Transformer-Based IoT Intrusion Detection System (IDS) using an Optimized Cross-Contextual Point Running City Game Transformer Network (O2CPRCG-TransNet). This innovative method leverages advanced DL approaches to improve the security and reliability of Intelligent home environments. The study utilizes the IoT-bot dataset, which is pre-processed using the Grid-Constrained Data Purification Method (GCDP) to ensure high-quality input. The purified data is then optimized through the Giant Trevally Optimizer Algorithm (GTOA), which selects the most significant features to improve classification performance. Classification is performed using the O2CPRCG-TransNet architecture, which is specifically designed to address the complexities of Intelligent home security. To ensure secure data transmission, the system incorporates Somewhat Homomorphic Fuzzy-based Elliptic Curve Cryptography (SWH-FECC). Experimental results, obtained using the Python platform, demonstrate that the proposed approach achieves superior performance, with an accuracy of 98% and a recall of 0.993, compared to existing methods. These findings underscore the effectiveness of the proposed method and its potential for broader application in enhancing Intelligent home security. © 2024 IEEE.

关键词： Smart homes

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Silicon-Based Single Photon Avalanche Diode Technologies: Structures, Performance, and Challenges

IEEE Electron Devices Reviews

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IEEE Electron Devices Reviews 2025年 2卷 69-97页

作者： Sumaiya Hoque Md Anas Abdullah Mrwan Alayed Mohamed Elamien M. Jamal Deen Department of Electrical and Computer Engineering McMaster University Hamilton ON Canada Microelectronics and Semiconductors Institute King Abdulaziz City for Science and Technology (KACST) Riyadh Saudi Arabia School of Biomedical Engineering McMaster University Hamilton ON Canada

Solid-state Single Photon Avalanche Diodes (SPADs) have emerged as versatile photodetectors, playing a pivotal role in cutting-edge technologies such as photon counting, timing, and imaging. Their exceptional characteristics — high timing resolution, fast response, high gain, excellent quantum efficiency, and immunity to magnetic fields — make them a compelling alternative to traditional Photomultiplier Tubes (PMTs). SPADs' unique ability to detect single photons, combined with their digital output and compact size, has positioned them as a superior choice for a wide range of applications in engineering, environmental monitoring, and healthcare. This review provides a comprehensive analysis of SPAD technology, focusing on its design principles, performance metrics, and applications. We begin by exploring the fundamental operating principles of SPADs and their key performance metrics. Next, we examine various SPAD structures across different technology nodes, offering a comparative analysis to highlight the latest advancements. Based on our review, we identify several techniques to enhance SPAD performance, including: doping profile engineering, such as using high-voltage layers and doping compensation layers, upgrading optical stacks, and integration of high-speed front-end circuitry. We then introduce application-specific figures-of-merit and assess their relevance to the reviewed structures. Additionally, we address emerging trends in SPAD design, such as leveraging mask layer technology to achieve significant advancements. Finally, we conclude with an overview of research challenges, potential solutions, and future directions in SPAD technology, providing valuable insights to drive further innovations in this dynamic field.

关键词： Single-photon avalanche diodes Photonics Silicon Absorption Timing Reviews Indium gallium arsenide CMOS technology Breakdown voltage P-n junctions

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Effects of volume-confinement on lithium-ion battery with silicon-based anode

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Materials Today Communications 2024年 39卷

作者： Jhan, Cheng-Ying Wang, Pin-Sen Sung, Shi-Hong Tzeng, Yonhua Institute of Microelectronics Department of Electrical Engineering College of Electrical and Computer Engineering National Cheng Kung University Tainan Taiwan

The heightened resistivity and volumetric expansion stemming from alloy formation between silicon and lithium pose significant obstacles to the widespread adoption of silicon-based anodes. We demonstrate that internal pressure induced by volume confinement of a lithium ion battery with silicon-based anode helps retain anode density and form uniform and dense solid electrolyte interphase (SEI). Anode polarization and uneven lithium deposition are minimized, and thereby the consumption of electrolyte and lithium sources is reduced. Experimental data reveals that the interfacial resistance is reduced while specific capacity, coulombic efficiency and cycle stability of a battery improve due to the restriction against the expansion of the volume of half-cells and full-cells of lithium ion battery. The approach holds promise for advanced packaging technology to apply effective means of restricting the volume of lithium ion batteries from increase further during long-term cycling. © 2024 Elsevier Ltd

关键词： Anode Lithium-ion battery Silicon Volume confinement Volume expansion

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Classifying the bacterial taxonomy with its metagenomic data using the deep neural network model

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Journal of Intelligent and Fuzzy Systems 2023年第5期45卷 7603-7618页

作者： Raman, Ramakrishnan Barve, Amit Meenakshi, R. Jayaseelan, G.M. Ganeshan, P. Taqui, Syed Noeman Almoallim, Hesham S. Alharbi, Sulaiman Ali Raghavan, S.S. University Pune India Department of Computer Science and Engineering Parul Institute of Technology Faculty of Engineering and Technology Parul University P.O. Limda Gujarat India Department of Computer Science and Engineering Chennai Institute of Technology Tamil Nadu Kundrathur India Skillsmith India Ayapakkam Tamil Nadu Chennai India Department of Mechanical Engineering Sri Eshwar Engineering College Tamilnadu Coimbatore India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Oral and Maxillofacial Surgery College of Dentistry King Saud University Riyadh Saudi Arabia Department of Botany and Microbiology College of Science King Saud University Riyadh Saudi Arabia Department of Biology University of Tennessee Health Science Center Memphis United States

Because of the two sequenced methods stated above, SG and AMP, are being used in different ways, present a deep learning methodology for taxonomic categorization of the metagenomic information which could be utilized for either. To place the suggested pipeline to a trial, 1000 16S full-length genomes were used to generate either SG or AMP short-reads. Then, to map sequencing as matrices into such a number space, used a k-mer model. Our analysis of the existing approaches revealed several drawbacks, including limited ability to handle complex hierarchical representations of data and suboptimal feature extraction from grid-like structures. To overcome these limitations, we introduce DBNs for feature learning and dimensionality reduction, and CNNs for efficient processing of grid-like metagenomic data. Finally, a training set for every taxon was obtained by training two distinct deep learning constructions, specifically deep belief network (DBN) and convolutional neural network (CNN). This examined the proposed methodology to determine the best factor that determines and compared findings to the classification abilities offered by the RDP classifier, a standard classifier for bacterium identification. These designs outperform using RDP classifiers at every taxonomic level. So, at the genetic level, for example, both CNN and DBN achieved 91.4% accuracy using AMP short-reads, but the RDP classifier achieved 83.9% with the same information. This paper, suggested a classification method for 16S short-read sequences created on k-mer representations and a deep learning structure, that every taxon creates a classification method. The experimental findings validate the suggested pipelines as a realistic strategy for classifying bacterium samples;as a result, the technique might be included in the most commonly used tools for the metagenomic research. According to the outcomes, it could be utilized to effectively classify either SG or AMP information. © 2023 - IOS Press. All ri

关键词： Deep neural networks

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Base Conversion RNS using Hybrid Barret-Karatsuba-Based Modulus Prime Cores for Homomorphic Multiplication

Base Conversion RNS using Hybrid Barret-Karatsuba-Based Modu...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Muhammad Ogin Hasanuddin Rafael Aditya Cahyo W Infall Syafalni Nana Sutisna Hanho Lee Trio Adiono Department of Electrical and Computer Engineering Inha University Incheon Korea School of Electrical Engineering and Informatics Bandung Institute of Technology Indonesia University Center of Excellence on Microelectronics Bandung Institute of Technology Indonesia

ISBN: (数字)9798350356830

ISBN: (纸本)9798350356847

Residue Number Systems (RNS) offer a promising approach to enhancing the computational efficiency of Fully Homomorphic Encryption (FHE). This paper proposes an efficient base conversion method for RNS, leveraging parallel Processing Unit (PU) cores, where each PU core operates under different moduli, along with a Karatsuba-based Barrett modular multiplier to accelerate modular arithmetic in homomorphic encryption schemes. Our approach addresses the computational bottleneck of base conversions in FHE by utilizing optimized parallelism and efficient multiplication methods. Experimental results show that, with nearly the same latency for the computing unit, the proposed design can achieve higher throughput for implementing base conversion (BConv). The performance is further evaluated with different parallel core configurations (2, 3, and 6 cores), and these scenarios are compared against a single-core implementation. The design with 6 parallel cores achieves more than 5Gbps, demonstrating the significant benefit of increased parallelism for BConv in FHE operations.

关键词： Circuits and systems computer architecture Parallel processing Throughput Hardware Computational efficiency Homomorphic encryption Computational complexity Arithmetic

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