A 73% Peak PDP Single-Photon Avalanche Diode Implemented in 110 nm CIS Technology With Doping Compensation

Authors: Lee, M., Karaca, U., Kizilkan, E., Bruschini, C., Charbon, E.

Source: IEEE Journal of Selected Topics in Quantum Electronics IEEE J. Select. Topics Quantum Electron. Selected Topics in Quantum Electronics, IEEE Journal of. 30(1: Single-Photon Technologies and Applications):1-10 Jan, 2024

Galaxy Spectra neural Network (GaSNet). II. Using deep learning for spectral classification and redshift predictions

Authors: Fucheng Zhong, N. R. Napolitano, Caroline Heneka, Rui Li, F. E. Bauer, Nicolas Bouché, Johan Comparat, Young-Lo Kim, Jens-Kristian Krogager, M. Longhetti, J. Loveday, Boudewijn F. Roukema, Benedict L. Rouse, M. Salvato, C. Tortora, Roberto J. Assef, L. P. Cassarà, Luca Costantin, S. M. Croom, Luke J. M. Davies, A. Fritz, G. Guiglion, A. Humphrey, E. Pompei, Cláudio Ricci, Cristobál Sifón, Elmo Tempel, Tayyaba Zafar

Contributors: POTHIER, Nathalie

Source: Monthly Notices of the Royal Astronomical Society. 532:643-665

Subject Terms: Radiology, Nuclear Medicine and Imaging, redshifts, Astronomy, Biophysics, FOS: Physical sciences, Infrared Spectroscopy, Astrophysics, 01 natural sciences, [PHYS] Physics [physics], galaxies: distances, software: development, Engineering, surveys, Biochemistry, Genetics and Molecular Biology, CMOS Image Sensor Technology, Active galactic nucleus, 0103 physical sciences, Health Sciences, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Instrumentation and Methods for Astrophysics (astro-ph.IM), Quasar, Biomedical Optical Imaging and Spectroscopy, Biomedical Applications of Spectroscopy Techniques, Physics, Life Sciences, Redshift, methods: data analysis, Astrophysics - Astrophysics of Galaxies, Computer science, Programming language, Galaxy, Astrophysics of Galaxies (astro-ph.GA), Physical Sciences, techniques: spectroscopic, Medicine, Pipeline (software), galaxies: distances and redshifts, [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph], [PHYS.ASTR.IM] Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], Astrophysics - Instrumentation and Methods for Astrophysics, Sky, Spectral line

File Description: application/pdf

Access URL: http://arxiv.org/abs/2311.04146
https://hdl.handle.net/11588/980807
https://hal.science/hal-04299139v1/document
https://hal.science/hal-04299139v1
https://hal.science/hal-04802242v1
https://doi.org/10.1093/mnras/stae1461
https://hal.science/hal-04802242v1/document

A novel analysis of contamination in Lyman-break galaxy samples at z ∼ 6-8: spatial correlation with intermediate-redshift galaxies at z ∼ 1.3-2

Authors: Miftahul Hilmi, Nicha Leethochawalit, Michele Trenti, Benjamin Metha

Source: Monthly Notices of the Royal Astronomical Society. 532:920-931

Subject Terms: Temporal Noise Analysis, Galaxy Formation and Evolution in the Universe, Physics, Astronomy, 4. Education, Astronomy and Astrophysics, Redshift, Astrophysics, Galaxy, Engineering, Physics and Astronomy, 13. Climate action, CMOS Image Sensor Technology, Astronomical Instrumentation and Spectroscopy, Physical Sciences, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Galaxy formation and evolution, Instrumentation

Design of Solid State Tesla Coil With Music Playback Functionality

Authors: Naman Tanwar, Rajesh Kumar M, Rani Chinnappa Naidu

Source: IEEE Access, Vol 12, Pp 14285-14297 (2024)

Subject Terms: Biomedical Engineering, NE555, FOS: Medical engineering, IGBT, 7. Clean energy, Engineering, Microelectromechanical Systems, Solid-state, CMOS Image Sensor Technology, State (computer science), 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, Current-Mode Circuits, Electrical and Electronic Engineering, Electromagnetic coil, SSTC, Analog Circuit Design for Biomedical Applications, Physics, Engineering physics, Computer science, TK1-9971, Programming language, feedback control, gate drive transformer (GDT), Tesla coil, Electrical engineering, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering

Access URL: https://doaj.org/article/1cb00deb7e974da2bc2d8744be64185b

Photodetector Architecture for Open Circuit Voltage Operation of MWIR InAsSb Detectors

Authors: Specht, Teressa, Taghipour, Zahra, Ronningen, Theodore J., Fragasse, Roman, Tantawy, Ramy, Smith, Shane, Fuller, Earl, Khalil, Waleed, Krishna, Sanjay

Source: 2019 IEEE Research and Applications of Photonics in Defense Conference (RAPID) Research and Applications of Photonics in Defense Conference (RAPID), 2019 IEEE. :1-4 Aug, 2019

Relation: 2019 IEEE Research and Applications of Photonics in Defense Conference (RAPID)

Trackez: An IoT-Based 3D-Object Tracking From 2D Pixel Matrix Using Mez and FSL Algorithm

Authors: Nuruzzaman Faruqui, Md Alamgir Kabir, Mohammad Abu Yousuf, Md Whaiduzzaman, Alistair Barros, Imran Mahmud

Source: IEEE Access, Vol 11, Pp 61453-61467 (2023)

Subject Terms: Real-time Tracking, Visual Tracking, Artificial intelligence, Aerospace Engineering, FOS: Mechanical engineering, Geometry, Tracking system, Simultaneous Localization and Mapping, Latency (audio), Machine vision, Motion Detection, 7. Clean energy, Visual Object Tracking and Person Re-identification, Engineering, Tracking (education), CMOS Image Sensor Technology, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Psychology, Electrical and Electronic Engineering, object tracking, 3D coordinate, Pedagogy, 2D coordinate, Computer science, TK1-9971, Algorithm, FOS: Psychology, Object Tracking, Cartesian coordinate system, the IoT edge, latency sensitivity, Video tracking, Computer Science, Physical Sciences, Multiple Object Tracking, Telecommunications, Computer vision, Object (grammar), Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Pixel, Kalman filter, Mez, Mathematics

Access URL: https://doaj.org/article/8c2abdf4220a4d86aa3bc812ff9045c5

Construction of teaching system of public art major using CMOS image sensor technology

Authors: Yang, Xueyin^{Aff1, IDs4159802456224w_cor1}

Source: Scientific Reports. 14(1)

VLSI Implementation of Hybrid Memristor Based Logic Gates

Authors: Ritesh Samanta, Namburi VamsiKrishna, Poongundran Selvaprabhu, Ragav Venkatesan, V. S. Rajamani

Source: International Journal of Electrical and Electronics Research. 11:733-737

Subject Terms: Memristive Devices for Neuromorphic Computing, Electronic circuit, 02 engineering and technology, 7. Clean energy, Resistive Switching, PMOS logic, Cellular and Molecular Neuroscience, Engineering, Pass transistor logic, CMOS Image Sensor Technology, CMOS Image Sensors, FOS: Electrical engineering, electronic engineering, information engineering, Resistor, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Breadboard, Electronic engineering, CMOS, Transistor, Life Sciences, Logic gate, Voltage, Neural Interface Technology, Capacitor, Memristor, Digital electronics, Computer science, Electrical engineering, Physical Sciences, 0210 nano-technology, NMOS logic, Neuroscience

A Sub-Electron-Noise Multi-Channel Cryogenic Skipper-CCD Readout ASIC

Authors: Fabricio Alcalde Bessia, Troy England, Hongzhi Sun, Leandro Stefanazzi, D. Braga, Miguel Sofo Haro, Shaorui Li, J. Estrada, Farah Fahim

Source: IEEE Transactions on Circuits and Systems I: Regular Papers. 70:2306-2316

Subject Terms: Artificial intelligence, Chip, Aerospace Engineering, FOS: Mechanical engineering, FOS: Physical sciences, 02 engineering and technology, Noise (video), Applied Physics (physics.app-ph), 7. Clean energy, 01 natural sciences, Engineering, CMOS Image Sensor Technology, 0103 physical sciences, CMOS Image Sensors, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Image (mathematics), Amplifier, Electrical and Electronic Engineering, Optoelectronics, Radiometric Calibration and Performance Monitoring, Infrared Small Target Detection and Tracking, CORRELATED DOUBLE SAMPLING, Time delay and integration, Dynamic range, CRYOGENIC, Electronic engineering, Physics, CMOS, Integrator, Optics, Voltage, Physics - Applied Physics, Computer science, LOW NOISE, Programming language, Application-specific integrated circuit, Pixel-Level ADC, Channel (broadcasting), SIGNAL (programming language), Electrical engineering, Physical Sciences

File Description: application/pdf

Access URL: http://arxiv.org/abs/2304.13088
http://hdl.handle.net/11336/226754

Current Technologies and Applications of Digital Image Processing

Authors: Wenfeng Zheng

Source: Journal of Biomedical and Sustainable Healthcare Applications. :13-23

Subject Terms: Signal processing, Artificial intelligence, Image Processing, Automated Currency Recognition and Authentication, Video compression picture types, Analog image processing, 7. Clean energy, Engineering, Image processing, CMOS Image Sensor Technology, FOS: Electrical engineering, electronic engineering, information engineering, Image (mathematics), Image Denoising, Multidimensional signal processing, Electrical and Electronic Engineering, Codec, Computer graphics (images), Video capture, Computer hardware, Digital signal processing, Computer science, Video processing, Video tracking, Computer Science, Physical Sciences, Video post-processing, Computer vision, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Digital image processing

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection

Authors: Antoine Grimaldi, Laurent Perrinet

Source: Biological Cybernetics. 117:373-387

Subject Terms: Artificial neural network, Temporal Noise Analysis, Artificial intelligence, Memristive Devices for Neuromorphic Computing, Cognitive Neuroscience, Action Potentials, Sensory Processing, Quantum mechanics, Engineering, Spiking Neurons, CMOS Image Sensor Technology, Spiking neural network, FOS: Electrical engineering, electronic engineering, information engineering, Learning, Electrical and Electronic Engineering, Event (particle physics), Neuronal Oscillations in Cortical Networks, Neurons, Neuromorphic Computing, Biological neuron model, Physics, Life Sciences, Computer science, Neuromorphic engineering, Neural Synchrony, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Physical Sciences, Neurons and Cognition (q-bio.NC), Neural Networks, Computer, Algorithms, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/37695359
http://arxiv.org/abs/2307.14077

Hardware implementation of memristor-based artificial neural networks

Authors: Fernando Aguirre, Abu Sebastian, Manuel Le Gallo, Wenhao Song, Tong Wang, J. Joshua Yang, Wei Lü, Meng‐Fan Chang, Daniele Ielmini, Yuchao Yang, Adnan Mehonić, Anthony J. Kenyon, Marco A. Villena, Juan B. Roldán, Yuting Wu, Hung-Hsi Hsu, Nagarajan Raghavan, J. Suñé, E. Miranda, Ahmed M. Eltawil, Gianluca Setti, Kamilya Smagulova, Khaled N. Salama, Olga Krestinskaya, Xiaobing Yan, Kah‐Wee Ang, Samarth Jain, Sifan Li, Osamah Alharbi, Sebastián Pazos, Mario Lanza

Contributors: Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia, Physical Science and Engineering (PSE) Division, Electrical and Computer Engineering Program, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Advanced Membranes and Porous Materials Research Center, Material Science and Engineering Program, IBM Research – Zurich, Rüschlikon, Switzerland, Department of Electrical and Computer Engineering, University of Southern California (USC), Los Angeles, CA, 90089, USA, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, 30013, Taiwan, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano and IUNET, Piazza L. da Vinci 32, 20133, Milano, Italy, School of Electronic and Computer Engineering, Peking University, Shenzhen, China, Department of Electronic and Electrical Engineering, University College London (UCL), Torrington Place, WC1E 7JE, London, UK, Departamento de Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Avenida Fuentenueva s/n, 18071, Granada, Spain, Engineering Product Development (EPD) Pillar, Singapore University of Technology & Design, 8 Somapah Road, 487372, Singapore, Singapore, Departament d’Enginyeria Electrònica, Universitat Autònoma de Barcelona (UAB), 08193, Barcelona, Spain, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, 071002, China, Department of Electrical and Computer Engineering, College of Design and Engineering, National University of Singapore (NUS), Singapore, Singapore, ELECTRICAL AND COMPUTER ENGINEERING

Source: Nat Commun
Nature Communications, Vol 15, Iss 1, Pp 1-40 (2024)

Subject Terms: 0301 basic medicine, Artificial neural network, Parallel computing, Artificial intelligence, Science, Memristive Devices for Neuromorphic Computing, Ferroelectric Devices for Low-Power Nanoscale Applications, Memory bandwidth, Review Article, Search engine, 7. Clean energy, Bottleneck, 03 medical and health sciences, Engineering, CMOS Image Sensor Technology, Electronic devices, FOS: Electrical engineering, electronic engineering, information engineering, Information retrieval, Computer architecture, Electrical and Electronic Engineering, Von Neumann architecture, Brain-inspired Computing, Embedded system, 0303 health sciences, Query by Example, Deep learning, In-Memory Processing, Computer hardware, Massively parallel, Memristor, Memory Applications, Computer science, Throughput, Electrical and electronic engineering, Distributed computing, Operating system, Electrical engineering, Physical Sciences, Wireless, Telecommunications, Web search query, Memory footprint

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38438350
https://doaj.org/article/2747dc5462eb47f38960b290c0cdbb9e
https://www.nature.com/articles/s41467-024-45670-9
https://doi.org/10.1038/s41467-024-45670-9
https://hdl.handle.net/11583/2996345
https://discovery-pp.ucl.ac.uk/id/eprint/10188620/

Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform

Authors: Taoufik Saidani, Refka Ghodhbani

Source: Engineering, Technology & Applied Science Research. 12:8007-8012

Subject Terms: Stereo Vision and Depth Estimation, Autofocusing in Microscopy and Photography, Artificial intelligence, High-Speed Imaging, 02 engineering and technology, Engineering, Hardware acceleration, CMOS Image Sensor Technology, Design flow, FOS: Electrical engineering, electronic engineering, information engineering, Media Technology, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Embedded system, System on a chip, Frame rate, Computer hardware, Computer science, Field-programmable gate array, Enhanced Data Rates for GSM Evolution, Video processing, Computer Science, Physical Sciences, Telecommunications, VHDL, Computer Vision and Pattern Recognition, Frame (networking)

Access URL: https://etasr.com/index.php/ETASR/article/download/4615/2647

Seamless real-time thermal imaging system with ESP8266: wireless data transfer and display using UDP

Authors: Min Hoan Moon, Md. Kaimujjaman, Md. Mahabub Hossain, Md. Mehedi Islam, Md. Selim Hossain

Source: SN Applied Sciences, Vol 5, Iss 11, Pp 1-10 (2023)

Subject Terms: Technology, Thermal imaging, Microcontroller, Thermal camera, Science, 02 engineering and technology, 7. Clean energy, Real-time computing, TFT display, Engineering, Remote Display, CMOS Image Sensor Technology, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, UDP protocol, Image Quality Assessment in Multimedia Content, Electrical and Electronic Engineering, Embedded system, User Datagram Protocol, Computer network, Performance and Optimization of Thin-Client Computing Systems, Network packet, Transparent Computing, Computer hardware, Thin-Client Computing, Computer science, 3. Good health, ESP8266, Data transmission, Operating system, Internet Protocol, Hardware and Architecture, Physical Sciences, Computer Science, Computer Vision and Pattern Recognition, The Internet

Access URL: https://doaj.org/article/e2786fa2493a44b48f7bbe886e97f316

Convolutional Neural Networks Progress: Architectural and Optimization Methods Survey

Authors: Mohsen Raafat Abdel-Atty

Source: The Egyptian Journal of Language Engineering. 8:44-68

Subject Terms: Artificial intelligence, Object detection, Computer Vision, Perspective (graphical), Classification of Brain Tumor Type and Grade, Convolutional neural network, 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Feature Extraction, Visual arts, Data science, Engineering, Computer engineering, Computer security, CMOS Image Sensor Technology, Object Detection, Architecture, Machine learning, State (computer science), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Neural Network Architectures, Electrical and Electronic Engineering, Key (lock), Life Sciences, Deep learning, Transfer Learning, Cognitive neuroscience of visual object recognition, Computer science, Algorithm, Neurology, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Object (grammar), Computer Vision and Pattern Recognition, FOS: Civil engineering, Art, Neuroscience

Access URL: https://ejle.journals.ekb.eg/article_193213_1552d934e208a4055b1e9b7c80897048.pdf
https://ejle.journals.ekb.eg/article_193213.html
https://ejle.journals.ekb.eg/article_193213_1552d934e208a4055b1e9b7c80897048.pdf

Efficient transient testing procedure using a novel experience replay particle swarm optimizer for THD-based robust design and optimization of self-X sensory electronics in industry 4.0

Authors: Q. Zaman, S. Alraho, A. König

Source: Journal of Sensors and Sensor Systems, Vol 10, Pp 193-206 (2021)

Subject Terms: Technology, Artificial intelligence, ddc:600, Computer Networks and Communications, Robustness (evolution), Biomedical Engineering, Control (management), 02 engineering and technology, Networked Smart Transducer Interface Standard, FOS: Medical engineering, Low-Noise Sensors, Total harmonic distortion, Mathematical analysis, Biochemistry, Gene, 7. Clean energy, Engineering, CMOS Image Sensor Technology, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Smart Sensors, Electrical and Electronic Engineering, Electronic engineering, 9. Industry and infrastructure, Analog Circuit Design for Biomedical Applications, Particle swarm optimization, Mathematical optimization, Voltage, Computer science, Algorithm, Chemistry, Maxima and minima, Electrical engineering, Physical Sciences, Computer Science, Sensor Networking, Mathematics

File Description: application/pdf

Access URL: https://jsss.copernicus.org/articles/10/193/2021/jsss-10-193-2021.pdf
https://jsss.copernicus.org/articles/10/193/2021/
https://doaj.org/article/7f20bdc5660e4f24b431b0e24769269b
https://jsss.copernicus.org/articles/10/193/2021/jsss-10-193-2021.pdf
http://ui.adsabs.harvard.edu/abs/2021JSSS...10..193Z/abstract
https://jsss.copernicus.org/articles/10/193/2021/
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/6724

A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs

Authors: Lester Kalms, Pedram Amini Rad, Muhammad Ali, Arsany Iskander, Diana Göhringer

Source: Journal of Signal Processing Systems. 93:513-529

Subject Terms: Artificial neural network, Artificial intelligence, Flexibility (engineering), Compiler, Convolutional neural network, 02 engineering and technology, 7. Clean energy, 12. Responsible consumption, Database, Engineering, Image Feature Retrieval and Recognition Techniques, Computer engineering, CMOS Image Sensor Technology, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Neural Network Architectures, Computer architecture, Electrical and Electronic Engineering, Embedded system, Geography, Statistics, Scalability, Deep learning, Computer science, Field-programmable gate array, 3. Good health, Operating system, High-level synthesis, Combinatorics, Computer Science, Physical Sciences, 8. Economic growth, Kernel (algebra), Deep Learning in Computer Vision and Image Recognition, Pipeline (software), Computer Vision and Pattern Recognition, Benchmark (surveying), Mathematics, Geodesy

Access URL: https://link.springer.com/content/pdf/10.1007/s11265-021-01651-5.pdf
https://dblp.uni-trier.de/db/journals/vlsisp/vlsisp93.html#KalmsRAIG21
https://link.springer.com/content/pdf/10.1007/s11265-021-01651-5.pdf
https://link.springer.com/article/10.1007/s11265-021-01651-5

Low-Voltage CMOS Circuits for Analog VLSI Programmable Neural Networks.(Dept.E)

Authors: Mohy El-Din Abo El-sSoud, Hassan Soliman, Laila El-ghanam, Roshdy AbdelRassoul

Source: MEJ. Mansoura Engineering Journal. 28:21-30

Subject Terms: Artificial neural network, Artificial intelligence, Biomedical Engineering, Subthreshold conduction, FOS: Medical engineering, Low-Noise Sensors, Very-large-scale integration, 7. Clean energy, Activation function, 12. Responsible consumption, Engineering, Artificial Intelligence, CMOS Image Sensor Technology, CMOS Image Sensors, FOS: Electrical engineering, electronic engineering, information engineering, Current-Mode Circuits, Electrical and Electronic Engineering, Electronic engineering, Analog Circuit Design for Biomedical Applications, CMOS, Transistor, Triode, Voltage, Capacitor, Neural Network Fundamentals and Applications, Computer science, Low-Power, Electrical engineering, Computer Science, Physical Sciences

Access URL: https://bfemu.journals.ekb.eg/article_142391_832dfeeb000b0e58ae703b92e871fe07.pdf
https://bfemu.journals.ekb.eg/article_142391.html
https://journals.ekb.eg/article_142391.html
https://bfemu.journals.ekb.eg/article_142391_832dfeeb000b0e58ae703b92e871fe07.pdf

An Integrator and Schmitt Trigger Based Voltage-to-Frequency Converter Using Unipolar Metal-Oxide Thin Film Transistors

Authors: Yuming Xu, Wei Zhong, Bin Li, Sunbin Deng, Houbo Fan, Zhaohui Wu, Lei Lü, Fion Sze Yan Yeung, Hoi Sing Kwok, Rongsheng Chen

Source: IEEE Journal of the Electron Devices Society, Vol 9, Pp 144-150 (2021)

Subject Terms: Schmitt trigger, II-VI semiconductor materials, Nanoelectronics and Transistors, 02 engineering and technology, Transistors, 7. Clean energy, Layer (electronics), Engineering, Thin-film transistor, Linearity, Plasmonics for Photovoltaic Devices, CMOS Image Sensor Technology, Zinc oxide, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Amplifier, voltage-to-frequency converter, Nanotechnology, Oscillators, Gain, Electrical and Electronic Engineering, Thin-Film Transistors, Optoelectronics, Topology (electrical circuits), FOS: Nanotechnology, Electronic engineering, Physics, Voltage-to-frequency converter, CMOS Scaling, Transistor, Thin film transistors, Double-Gate Transistors, Voltage, Tunnel Field-Effect Transistors, High-Mobility Transistors, Computer science, Materials science, TK1-9971, Integrated circuit modeling, Electrical engineering, amplifier, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering

Access URL: https://ieeexplore.ieee.org/ielx7/6245494/9359727/09296242.pdf
https://doaj.org/article/90971cca56514857b5d237fcbe7d5646
https://ieeexplore.ieee.org/document/9296242/

Systematic Approach for State-of-the-Art Architectures and System-on-Chip Selection for Heterogeneous IoT Applications

Authors: Ramesh Krishnamoorthy, K. Kalimuthu, C. Bharatiraja, Sanjeevikumar Padmanaban, Zbigniew Leonowicz, Jens Bo Holm‐Nielsen, Massimo Mitolo

Source: IEEE Access, Vol 9, Pp 25594-25622 (2021)
Krishnamoorthy, R, Krishnan, K, Chokkalingam, B, Padmanaban, S, Leonowicz, Z, Holm-Nielsen, J B & Mitolo, M 2021, 'Systematic Approach for State-of-the-Art Architectures and System-on-Chip Selection for Heterogeneous IoT Applications', IEEE Access, vol. 9, 9340335, pp. 25594-25622. https://doi.org/10.1109/ACCESS.2021.3055650

Subject Terms: IoT, IoT Security, Computer Networks and Communications, Internet of Things, 02 engineering and technology, Microprocessor, Engineering, microprocessors, edge computing, CMOS Image Sensor Technology, system-on-chip, NB-IoT, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Computer architecture, Electrical and Electronic Engineering, Embedded system, Design space exploration, heterogeneous architectures, System on a chip, Internet of Things and Edge Computing, Low Power Wide Area Network Technologies, Computer science, Distributed computing, TK1-9971, Field-programmable gate array, Operating system, Cache, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09340335.pdf
https://doaj.org/article/dca4945b3a2a464e88fefb6c38c5a01d
https://vbn.aau.dk/da/publications/c75672a6-b89c-4ed1-9bb8-2d3a2395779f
https://doi.org/10.1109/ACCESS.2021.3055650
https://vbn.aau.dk/ws/files/470031276/Systematic_Approach_for_State_of_the_Art_Architectures_and_System_on_Chip_Selection_for_Heterogeneous_IoT_Applications.pdf
http://www.scopus.com/inward/record.url?scp=85100453446&partnerID=8YFLogxK
https://dblp.uni-trier.de/db/journals/access/access9.html#KrishnamoorthyK21
https://ieeexplore.ieee.org/document/9340335/