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Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress

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Analysis of Electroencephalographic Signals to Study the Beh...

Automation, Computing and Renewable Systems (ICACRS), International Conference on

作者： H.M. Moyeenudin S. Hannah T. Anuradha R. Muthalagu V. Seedha Devi A. Jose Anand Vels Institute of Science Technology and Advanced Studies Chennai Tamil Nadu Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Department of Electrical and Electronics Engineering KCG College of Technology Chennai Tamil Nadu Department of Biomedical Engineering Karpaga Vinayaga College of Engineering and Technology Tamil Nadu Department of IT Jaya Engineering College Chennai Tamil Nadu Department of ECE KCG College of Technology Chennai Tamil Nadu

The current study perform an analysis of electroencephalographic signals to study the behavior of brain frequencies in subjects who are under academic stress generated by a cognitive task, while listening to music or being silent. Creation of a corpus of more than 10 subjects under different sound stimuli is created. Characterization of brain signals are characterized for the identification of academic stress. Protocol is designed and brain signals are collected to observe the relationship between music listening and academic stress. EEG signal classifiers are used to identify differences between different sessions. Analysis of brain frequencies are analysed obtained in the sessions for each participant.

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Creating embedded radiofrequency structures using polyjet material jetting 26

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Creating embedded radiofrequency structures using polyjet ma...

26th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2015

作者： Dumene, Richard L. Kennedy, Paul Williams, Christopher B. Sweeney, Dennis Earle, Greg Design Research and Education for Additive Manufacturing Systems Laboratory Department of Mechanical Engineering Virginia Tech United States Director of Instructional Laboratories Bradley Department of Electrical and Computer Engineering Center for Space Science and Engineering Research Bradley Department of Electrical and Computer Engineering

Embedding of integrated systems via Additive Manufacturing (AM) offers the potential to save weight, space, and time in the production of electronics and vehicles. Of specific interest are embedded electrical systems that operate in the radiofrequency (RF) range as they have great potential utility in communication systems and aircraft avionics including navigation. However, systems in this frequency range pose unique manufacturing challenges such as the need to minimize impedance discontinuities in the system. In this work, the authors explore various techniques for embedding RF structures such as antennas and filters via a multi-material jetting AM process. Specifically, the dielectric constants and loss tangents of Vero White and Tango Black polymers were determined to facilitate the design of RF structures with these materials. It is shown that measurements of S-parameters of the resultant embedded RF structures approach or match the performance of non-embedded electronics. © SFF *** rights reserved.

关键词： Embeddings

Characterizing RNA Pseudouridylation by Convolutional Neural Networks

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Genomics, Proteomics & Bioinformatics 2021年第5期19卷 815-833页

作者： Xuan He Sai Zhang Yanqing Zhang Zhixin Lei Tao Jiang Jianyang Zeng Institute for Interdisciplinary Information Sciences Tsinghua UniversityBeijing 100084China Peking-Tsinghua Center for Life Sciences Peking UniversityBeijing 100871China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing 100871China Department of Computer Science and Engineering University of CaliforniaRiversideCA 92521USA MOE Key Lab of Bioinformatics and Bioinformatics Division BNRIST/Department of Computer Science and TechnologyTsinghua UniversityBeijing 100084China Institute of Integrative Genome Biology University of CaliforniaRiversideCA 92521USA MOE Key Laboratory of Bioinformatics Tsinghua UniversityBeijing 100084China

Pseudouridine(Ψ)is the most prevalent post-transcriptional RNA modification and is widespread in small cellular RNAs and m ***,the functions,mechanisms,and precise distribution ofΨs(especially in m RNAs)still remain largely *** landscape ofΨs across the transcriptome has not yet been fully ***,we present a highly effective model based on a convolutional neural network(CNN),called Pseudo Uridy Lation Site Estimator(PULSE),to analyze large-scale profiling data ofΨsites and characterize the contextual sequence features of ***,consisting of two alternatively-stacked convolution and pooling layers followed by a fully-connected neural network,can automatically learn the hidden patterns of pseudouridylation from the local sequence *** validation tests demonstrated that PULSE can outperform other state-of-the-art prediction methods and achieve high prediction accuracy,thus enabling us to further characterize the transcriptome-wide landscape ofΨ*** further showed that the prediction results derived from PULSE can provide novel insights into understanding the functional roles of pseudouridylation,such as the regulations of RNA secondary structure,codon usage,translation,and RNA stability,and the connection to single nucleotide *** source code and final model for PULSE are available at https://***/mlcb-thu/PULSE.

关键词： Pseudouridylation Convolution neural network Sequence motif Translation RNA stability

FAS-assisted NOMA Short-Packet Communication Systems

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arXiv 2023年

作者： Zheng, Jianchao Wu, Tuo Lai, Xiazhi Pan, Cunhua Elkashlan, Maged Wong, Kai-Kit The School of Computer Science and Engineering Huizhou University Huizhou516000 China The School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom The School of Computer Science Guangdong University of Education Guangdong Guangzhou China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China The Department of Electronic and Electrical Engineering University College London LondonWC1E 6BT United Kingdom The Yonsei Frontier Laboratory The School of Integrated Technology Yonsei University Seoul03722 Korea Republic of

In this paper, we investigate a fluid antenna system (FAS)-assisted downlink non-orthogonal multiple access (NOMA) for short-packet communications. The base station (BS) adopts a single fixed antenna, while both the central user (CU) and the cell-edge user (CEU) are equipped with a FAS. Each FAS comprises N flexible positions (also known as ports), linked to N arbitrarily correlated Rayleigh fading channels. We derive expressions for the average block error rate (BLER) of the FAS-assisted NOMA system and provide asymptotic BLER expressions. We determine that the diversity order for CU and CEU is N, indicating that the system performance can be considerably improved by increasing N. Simulation results validate the great performance of FAS. © 2023, CC BY.

关键词： Antennas

Dephasing in Fluxonium Qubits from Coherent Quantum Phase Slips

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arXiv 2024年

作者： Randeria, Mallika T. Hazard, Thomas M. Di Paolo, Agustin Azar, Kate Hays, Max Ding, Leon An, Junyoung Gingras, Michael Niedzielski, Bethany M. Stickler, Hannah Grover, Jeffrey A. Yoder, Jonilyn L. Schwartz, Mollie E. Oliver, William D. Serniak, Kyle Lincoln Laboratory Massachusetts Institute of Technology LexingtonMA02421 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States

Phase slips occur across all Josephson junctions (JJs) at a rate that increases with the impedance of the junction. In superconducting qubits composed of JJ-array superinductors - such as fluxonium - phase slips in the array can lead to decoherence. In particular, phase-slip processes at the individual array junctions can coherently interfere, each with an Aharonov-Casher phase that depends on the offset charges of the array islands. These coherent quantum phase slips (CQPS) perturbatively modify the qubit frequency, and therefore charge noise on the array islands will lead to dephasing. By varying the impedance of the array junctions, we design a set of fluxonium qubits in which the expected phase-slip rate within the JJ-array changes by several orders of magnitude. We characterize the coherence times of these qubits and demonstrate that the scaling of CQPS-induced dephasing rates agrees with our theoretical model. Furthermore, we perform noise spectroscopy of two qubits in regimes dominated by either CQPS or flux noise. We find the noise power spectrum associated with CQPS dephasing appears to be featureless at low frequencies and not 1/f. Numerical simulations indicate this behavior is consistent with charge noise generated by charge-parity fluctuations within the array. Our findings broadly inform JJ-array-design tradeoffs, relevant for the numerous superconducting qubit designs employing JJ-array superinductors. Copyright © 2024, The Authors. All rights reserved.

关键词： Qubits

Incentive Design for Eco-driving in Urban Transportation Networks

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arXiv 2023年

作者： Niazi, M.B. Umar Cho, Jung-Hoon Dahleh, Munther A. Dong, Roy Wu, Cathy The Laboratory for Information and Decision Systems Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States The Laboratory for Information and Decision Systems Department of Civil and Environmental Engineering Massachusetts Institute of Technology CambridgeMA02139 United States The Department of Industrial and Enterprise Systems Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States

Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of incentives in shaping driver behavior, this paper presents the ‘eco-planner,’ a digital platform devised to promote ecodriving practices in urban transportation. At the outset of their trips, users provide the platform with their trip details and travel time preferences, enabling the eco-planner to formulate personalized eco-driving recommendations and corresponding incentives, while adhering to its budgetary constraints. Upon trip completion, incentives are transferred to users who comply with the recommendations and effectively reduce their emissions. By comparing our proposed incentive mechanism with a baseline scheme that offers uniform incentives to all users, we demonstrate that our approach achieves superior emission reductions and increased user compliance with a smaller budget. © 2023, CC BY.

关键词： Urban transportation

Time-varying Nonlinear Effects in Terahertz Generation

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arXiv 2024年

作者： Lu, Yongchang Zhang, Xueqian Qiu, Haidi Niu, Li Chen, Xieyu Xu, Quan Zhang, Weili Zhang, Shuang Han, Jiaguang Center for Terahertz waves College of Precision Instrument and Optoelectronics Engineering Tianjin University The Key Laboratory of Optoelectronics Information and Technology Ministry of Education Tianjin300072 China School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74078 United States Department of Physics Faculty of Science University of Hong Kong Hong Kong

Time-varying effects have unveiled new possibilities for manipulating electromagnetic waves through the temporal dimension. In this study, we experimentally explore these effects in the nonlinear optical process of terahertz (THz) generation using optically pumped indium tin oxide (ITO) films. The ultrafast carrier dynamics in the ITO film endow the second-order nonlinear susceptibility (χ(2)) with sub-picosecond temporal evolution, establishing a temporal boundary for the generated THz waves. We observe significant amplitude and frequency modulations in the THz generation at various transients, attributed to the time-varying complex amplitude of the χ(2). Moreover, we also observed polarization modulations when further exploiting the tensor properties of χ(2). This work advances the exploration of time-varying effects into the nonlinear regime through frequency down-conversion, effectively transferring the strong time-varying material response from the near-infrared (NIR) band to the THz band. These findings open up new opportunities for realizing time-varying phenomena that specifically require single-cycle modulation. Copyright © 2024, The Authors. All rights reserved.

关键词： Terahertz waves

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning

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arXiv 2022年

作者： Ma, Chuan Li, Jun Wei, Kang Liu, Bo Ding, Ming Yuan, Long Han, Zhu Poor, H. Vincent Zhejiang Laboratory Hangzhou311121 China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China The School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210096 China The Department of Computing Hong Kong Polytechnic University 999077 Hong Kong The University of Technology SydneyNSW2007 Australia Data61 CSIRO NSW2015 Australia The School of Computer Science Nanjing University of Science and Technology Nanjing210096 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States Department of Computer Science and Engineering Kyung Hee University Seoul Korea Republic of The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

Motivated by the advancing computational capacity of distributed end-user equipment (UE), as well as the increasing concerns about sharing private data, there has been considerable recent interest in machine learning (ML) and artificial intelligence (AI) that can be processed on distributed UEs. Specifically, in this paradigm, parts of a ML process are outsourced to multiple distributed UEs. Then the processed information is aggregated on a certain level at a central server, which turns a centralized ML process into a distributed one, and brings about significant benefits. However, this new distributed ML paradigm raises new risks of privacy and security issues. In this paper, we provide a survey on the emerging security and privacy risks of distributed ML from a unique perspective of information exchange levels, which are defined according to the key steps of a ML process, i.e.: i) the level of pre-processed data, ii) the level of learning models, iii) the level of extracted knowledge and, iv) the level of intermediate results. We explore and analyze the potential of threats for each information exchange level based on an overview of the current state-of-the-art attack mechanisms, and then discuss the possible defense methods against such threats. Finally, we complete the survey by providing an outlook on the challenges and possible directions for future research in this critical area. Copyright © 2022, The Authors. All rights reserved.

关键词： Multi agent systems

Real-Time Implementation of a Spiking Neural Network-Based Control: An Application for the Ball and Plate System

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Real-Time Implementation of a Spiking Neural Network-Based C...

American Control Conference (ACC)

作者： Diego Chavez Arana Omar A. Garcia A Ignacio Rubio Scola Eduardo S. Espinoza Luis Rodolfo Garcia Carrillo Andrew Sornborger Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces NM USA Center for Research and Advanced Studies National Polytechnic Institute Mexico City Mexico Department of Industrial Products Engineering National Institute of Industrial Technology CONICET and National University of Rosario Argentina Los Alamos National Laboratory Los Alamos NM USA

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

We present a neuromorphic computing control architecture for the problem of stabilizing a benchmark sub-actuated system: the ball and plate platform. The proposed architecture makes use of Spiking Neural Networks (SNNs) as an alternative to traditional von Neumann computing. The Neural engineering Framework (NEF) is adopted to encode the SNN-based controller to accomplish position and trajectory tasks. Simulation results and a real-time implementation of the proposed SNN controller are presented over a homemade ball and plate prototype. The effectiveness of the proposed neuromorphic controller is demonstrated, even in situations where the system is affected by external impulsive disturbances.

关键词： Neuromorphic engineering Simulation Prototypes Neural engineering computer architecture Spiking neural networks Control systems