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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Melton, Tristan Aldhafeeri, Alwaleed Chin, Hsiao Hsuan Rukh, Lala Colación, Gabriel M. Drake, Tara E. Wong, Chee Wei Mesoscopic Optics and Quantum Electronics Laboratory University of California Los AngelesCA90095 United States Optical Science & Engineering Program Center for High Technology Materials University of New Mexico AlbuquerqueNM87106 United States Dept. of Physics & Astronomy University of New Mexico AlbuquerqueNM87106 United States

We design microresonators for octave-spanning soliton frequency comb generation in silicon nitride. We lock the repetition rate via an electro-optic comb and achieve phase noise of -130-dBc/Hz, with the resultant modu... 详细信息

ISBN: (纸本)9781957171395

关键词： Silicon nitride

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Design and Characterization of Octave Spanning, 1-THz Kerr Frequency Microcombs in Silicon Nitride

Design and Characterization of Octave Spanning, 1-THz Kerr F...

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CLEO: Applications and technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Silicon nitride

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Van der Waals device integration beyond the limits of van der Waals forces using adhesive matrix transfer

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Nature electronics 2024年第1期7卷 17-28页

作者： Satterthwaite, Peter F. Zhu, Weikun Jastrzebska-Perfect, Patricia Tang, Melbourne Spector, Sarah O. Gao, Hongze Kitadai, Hikari Lu, Ang-Yu Tan, Qishuo Tang, Shin-Yi Chueh, Yu-Lun Kuo, Chia-Nung Lue, Chin Shan Kong, Jing Ling, Xi Niroui, Farnaz Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA United States Department of Chemical Engineering Massachusetts Institute of Technology CambridgeMA United States Department of Physics Massachusetts Institute of Technology CambridgeMA United States Department of Chemistry Boston University BostonMA United States Department of Materials Science and Engineering National Tsing Hua University Hsinchu Taiwan Semiconductor Research Center Hon Hai Research Institute Taipei Taiwan College of Semiconductor Research National Tsing Hua University Hsinchu Taiwan Department of Physics National Cheng Kung University Tainan Taiwan Taiwan Consortium of Emergent Crystalline Materials National Science and Technology Council Taipei Taiwan Program on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University Tainan Taiwan Division of Materials Science and Engineering Boston University BostonMA United States The Photonics Center Boston University BostonMA United States

Pristine van der Waals (vdW) heterostructures formed between two-dimensional (2D) and other materials can be used to create optical and electronic devices. However, the weak vdW forces alone do not allow direct physical stacking of arbitrary layers. As a result, vdW heterostructure fabrication typically requires solvents, sacrificial layers or high temperatures, which can introduce damage and contaminants. Here, we show that adhesive matrix transfer can eliminate these limitations and can provide vdW integration beyond the limits of vdW forces. In the approach, a hybrid high- and low-adhesion surface is used to decouple the forces driving the transfer from the vdW forces defining the heterostructure of interest. We show that the technique can be used to achieve direct vdW integration of diverse 2D materials (MoS2, WSe2, PtS2 and GaS) with dielectrics (SiO2 and Al2O3), which is conventionally forbidden but critical for active devices and scalable, aligned heterostructure formation. The approach also allows single-step 2D material-to-device integration, which we illustrate by fabricating arrays of monolayer MoS2 transistors. As any exposure to solvents or polymers is avoided, the interfaces and surfaces remain pristine. Thus, intrinsic 2D material properties can be probed without the influence of processing steps. The materials can be further engineered through surface treatments and used to fabricate unconventional device form factors. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

关键词： Van der Waals forces

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UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm

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Computers, Materials & Continua 2022年第9期72卷 5999-6013页

作者： Rania M Tawfik Hazem A.A.Nomer M.Saeed Darweesh Ali Wagdy Mohamed Hassan Mostafa Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGiza12677Egypt School of Information Technology and Computer Science(ITCS) Nile UniversityGiza12677Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Science and EngineeringThe American University in CairoEgypt Electronics and Communications Engineering Department Cairo UniversityEgypt University of Science and Technology Nanotechnology and Nanoelectronics ProgramZewal City of Science and TechnologyOctober Gardens6th of OctoberGiza12578Egypt

Unmanned Aerial Vehicles(UAVs)provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things(NB-IoT)***,the UAV’s deployment optimization,including locations of the UAV’s stop points,is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection *** this regard,this paper proposes GainingSharing Knowledge(GSK)algorithm for optimizing the UAV’s *** GSK,the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire *** superiority of using GSK in the tackled problem is verified by simulation in seven *** provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same ***,the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.

关键词： NB-IoT UAV GSK stop points optimization

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Study on Dual-band Antennas with a Modified Conical Antenna and a Parasitic Helical Element

Study on Dual-band Antennas with a Modified Conical Antenna ...

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2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

作者： Hirohara, Ryuji Fusazaki, Shinpei Noguchi, Keisuke Kanazawa Institute of Technology Graduate Program in Electrical Engineering and Electronics Ishikawa Nonoichi Japan DOCOMO CS Hokuriku Inc. Management Planning Section Network Management Department Ishikawa Kanazawa Japan

ISBN: (数字)9781665432382

ISBN: (纸本)9781665432382

With the start of the 5G operations, it will become more important to apply communication systems to automo-biles, which has been promoted in recent years as connected cars. Multi-band antennas are required to reduce the in-vehicle space which is occupied by communication equipment. We de-signed dual-band antennas for the sub-6 GHz 5G bands and the intelligent transport systems (ITS) especially the driving safety support system (DSSS) by loading helical elements to modified conical antennas (MCA), and conducted simulations and meas-urements. As a result, the antenna satisfied the sub-6 and ITS DSSS bands in the simulations. There were slightly differences between the calculated and measured results. © 2022 IEEE.

关键词： Intelligent systems

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Study of the relevance of gender in the classification of hand gestures by electromyography-based recognition systems

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Research on Biomedical engineering 2021年第2期37卷 361-373页

作者： Freitas, Melissa La Banca Junior, Jose Jair Alves Mendes La Banca, Wesley Freitas Stevan, Sergio Luiz Graduate Program in Electrical Engineering Federal University of Technology – Paraná Ponta GrossaParaná84016-210 Brazil Department of Electronics Federal University of Technology – Paraná CuritibaParaná80230-901 Brazil Mechanical Engineering Department Federal University of Technology – Paraná Ponta GrossaParaná84016-210 Brazil

Purpose: Some factors such as gender, age, physical fitness, and manual dominance are relevant and can influence the recognition of movement patterns using electromyography (EMG). In this scenario, we present an EMG signal analysis for men and women to observe if there is any significant difference. Methods: Data from 10 men and 10 women were acquired during the execution of six hand gestures (wrist flexion, wrist extension, wrist flexion to left, wrist extension to right, supination, and pronation) using eight channels armband. Four EMG time-domain signal features were extracted and hand gestures were classified using linear and quadratic discriminant analysis (LDA, QDA), and k-nearest neighbors (KNN) algorithms. Results: Data of the feature difference absolute standard deviation value (DASDV) and waveform length (WL) were analyzed based on polar and bar graphs. KNN with 1 nearest neighbor obtained the best results between the classifiers for both men and women. For statistical analyses, the Wilcoxon-Mann-Whitney and Tukey post hoc in Friedman tests were used. The results show that there is no significant difference between data from different genders. Conclusion: After analyzing the results obtained and extensive comparison with related works, it was concluded that, for the conditions where the electrodes are positioned equidistantly, evaluating all the muscular groups of a limb (armband format), there was no significant difference observed between the data from different genders. In addition, this allows us to conclude that EMG armband on the forearm can be a good option for robotic systems control without the need for prior gender adjustment. © 2021, Sociedade Brasileira de Engenharia Biomedica.

关键词： Biomedical signal processing

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Experimental Evaluation of Commercial Powerline Communication System for Monitoring of Sensors in Industrial Processes

Experimental Evaluation of Commercial Powerline Communicatio...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Murilo Oliveira Leme Sergio Luiz Stevan Department of Electronics UTFPR-PG Federal University of Technology -Parana (UTFPR) Ponta Grossa Brazil Postgraduate Program in Electrical Engineering - PPGEE Federal University of Technology - Parana (UTFPR) Ponta Grossa Brazil

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

Industrial automation systems use distributed computing architecture, comprising industrial networks with a wiring bus that is standardized to integrate their devices and monitoring process. A number of technologies, in a wide range of application levels, must operate in hostile environments, with high temperatures, humidity and magnetic interference. The Industry 4.0 applications requires that the communication infrastructure provide "last mile" communication services with a high level of reliability, which may increase costs and complexity of that infrastructure. Within such scenario, there is a growing demand for simpler and robust systems for monitoring and supervision of industrial processes. Powerline communication (PLC) is one of such systems that could provide ease of use and maintenance, since it uses the power system for serial digital data communication. This system has been commonly used in home applications, but it carries a great potential for the management of an industrial plant. Here, we present a new concept for the hardware, which collects field signals with PLC for industrial applications, using a Commercial-Of-The-Shelf (COST) modem. Three different setups have been performed, for a specific application that could be integrated to any industrial computer. The system has been experimentally evaluated in severe industrial environments, considering different noise levels, and provided reliable communication.

关键词： Wiring Costs Wireless networks Interference Sensor systems Sensors Power system reliability

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A Low Complexity ML-Based Methods for Malware Classification

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Computers, Materials & Continua 2024年第9期80卷 4833-4857页

作者： Mahmoud E.Farfoura Ahmad Alkhatib Deema Mohammed Alsekait Mohammad Alshinwan Sahar A.El-Rahman Didi Rosiyadi Diaa Salama Abd Elminaam Cybersecurity Department Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Computer Systems Program-Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairo11629Egypt Research Center for Artificial Intelligence and Cybersecurity Electronics and Informatics OrganizationNational Research and Innovation Agency(BRIN)KST Samaun SamadikunBandung40135Republic of Indonesia Jadara Research Center Jadara UniversityIrbid21110Jordan MEU Research Unit Middle East UniversityAmman11831Jordan

The article describes a new method for malware classification,based on a Machine Learning(ML)model architecture specifically designed for malware detection,enabling real-time and accurate malware *** an innovative feature dimensionality reduction technique called the Interpolation-based Feature Dimensionality Reduction Technique(IFDRT),the authors have significantly reduced the feature space while retaining critical information necessary for malware *** technique optimizes the model’s performance and reduces computational *** proposed method is demonstrated by applying it to the BODMAS malware dataset,which contains 57,293 malware samples and 77,142 benign samples,each with a 2381-feature *** the IFDRT method,the dataset is transformed,reducing the number of features while maintaining essential data for accurate *** evaluation results show outstanding performance,with an F1 score of 0.984 and a high accuracy of 98.5%using only two reduced *** demonstrates the method’s ability to classify malware samples accurately while minimizing processing *** method allows for improving computational efficiency by reducing the feature space,which decreases the memory and time requirements for training and *** new method’s effectiveness is confirmed by the calculations,which indicate significant improvements in malware classification accuracy and *** research results enhance existing malware detection techniques and can be applied in various cybersecurity applications,including real-timemalware detection on resource-constrained *** and scientific contribution lie in the development of the IFDRT method,which provides a robust and efficient solution for feature reduction in ML-based malware classification,paving the way for more effective and scalable cybersecurity measures.

关键词： Malware detection ML-based models dimensionality reduction feature engineering

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Effect of Dynamic Binaural Beats on Concentration Enhancement

Effect of Dynamic Binaural Beats on Concentration Enhancemen...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Jun-Seok Lee Yun-Sung Lee Han-Jeong Hwang Dept. of Electronics and Information Engineering Korea University Sejong Korea Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong Korea

ISBN: (数字)9798350367331

ISBN: (纸本)9798350367348

The objective of this study was to develop an auditory stimulation method that can improve concentration and to investigate its neurophysiological effects using electrocardiography (ECG). The auditory stimulus was developed by mixing the sound of white noise with dynamic binaural beats (DBB) that featured time-varying carrier frequencies. The experimental paradigm involved conducting an association memory (AM) task and a mental arithmetic (MA) task to assess cognitive performance. In the behavioral results, no significant differences were confirmed between the two experimental conditions (sound vs. no sound) for both cognitive tasks. In the AM task, no significant differences in HRV change between the baseline and task were observed between the two conditions. However, during the MA task, there was a significant decrease in HRV when participants were exposed to the auditory stimulation compared to when it was not.

关键词： Time-frequency analysis Rain Asia Information processing Electrocardiography White noise Heart rate variability Arithmetic

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Analog-Based Synapse of Double HfZrO2 Ferroelectric FETs With Homogeneous Phase by Superlattice HfO2-ZrO2 Toward Energy Efficient Accelerator

IEEE Transactions on Materials for Electron Devices

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IEEE Transactions on Materials for Electron Devices 2024年 1卷 11-14页

作者： Z.-F. Lou A. Senapati J.-Y. Lee F.-S. Chang K.-Y. Hsiang Y.-T. Chang C. W. Liu S. Maikap M. H. Lee Program for Semiconductor Devices Materials and Hetero-integration Graduate School of Advanced Technology National Taiwan University Taipei Taiwan Department of Electronic Engineering Chang Gung University Taoyuan Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Institute of Electronics Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

Since the analog-based energy-efficient accelerator for synapses is highly demanded in the artificial intelligence (AI) era, the homogeneous and coherence ferroelectric phase of HfZrO 2 (HZO) by superlattice (SL) growth mode with double layers is proposed in this work. The experimental results demonstrate excellent linear alternating consecutive potentiation and depression conductance (α p /α d = −0.85/0.63) with V RMS = 3 V. In addition, the proposed SL technique for HZOs validates the ferroelectric-based orthorhombic phase (o-phase) 75–79% by geometric phase analysis (GPA) compared to the solid-solution process for 62–64%. The double HZO (D-HZO) structure is employed for diverse coercive field (E C ) distributions to exhibit multistate data storage with 8 identical gap V T . The SL-DHZO has a sufficient ferroelectric domain, which is crucial to achieving the requirements of analog-based energy-efficient accelerators for synapses in computing in-memory generation.

关键词： Superlattices Memory Coherence Depression Energy efficiency Hafnium compounds Artificial intelligence

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