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arXiv 2019年

作者： Chen, Mingzhe Yang, Zhaohui Saad, Walid Yin, Changchuan Vincent Poor, H. Cui, Shuguang Chinese University of Hong Kong Shenzhen518172 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Centre for Telecommunications Research Department of Informatics King's College London WC2B 4BG United Kingdom Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Shenzhen Research Institute of Big Data School of Science and Engineering Chinese University of Hong Kong Shenzhen518172 China

In this paper, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In particular, in the considered model, wireless users execute an FL algorithm while training their local FL models using their own data and transmitting the trained local FL models to a base station (BS) that will generate a global FL model and send it back to the users. Since all training parameters are transmitted over wireless links, the quality of the training will be affected by wireless factors such as packet errors and the availability of wireless resources. Meanwhile, due to the limited wireless bandwidth, the BS must select an appropriate subset of users to execute the FL algorithm so as to build a global FL model accurately. This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm. To address this problem, a closed-form expression for the expected convergence rate of the FL algorithm is first derived to quantify the impact of wireless factors on FL. Then, based on the expected convergence rate of the FL algorithm, the optimal transmit power for each user is derived, under a given user selection and uplink resource block (RB) allocation scheme. Finally, the user selection and uplink RB allocation is optimized so as to minimize the FL loss function. Simulation results show that the proposed joint federated learning and communication framework can reduce the FL loss function value by up to 10% and 16%, respectively, compared to: 1) An optimal user selection algorithm with random resource allocation and 2) a standard FL algorithm with random user selection and resource allocation. Copyright © 2019, The Authors. All rights reserved.

关键词： Learning algorithms

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Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD

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Journal of Affective Disorders 2025年 388卷 119483页

作者： Arteaga, Alexander Tong, Xiaoyu Zhao, Kanhao Carlisle, Nancy B. Oathes, Desmond J. Fonzo, Gregory A. Keller, Corey J. Zhang, Yu Department of Bioengineering Lehigh University Bethlehem PA United States Department of Psychology Lehigh University Bethlehem PA United States Center for Brain Imaging and Stimulation Department of Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia PA United States Center for Neuromodulation in Depression and Stress Department of Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia PA United States Penn Brain Science Translation Innovation and Modulation Center University of Pennsylvania Perelman School of Medicine Philadelphia PA United States Departments of Neurology Neurosurgery Bioengineering and Neuroscience University of Pennsylvania Perelman School of Medicine Philadelphia PA United States Center for Psychedelic Research and Therapy Department of Psychiatry and Behavioral Sciences Dell Medical School The University of Texas at Austin Austin TX United States Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine Stanford CA United States Wu Tsai Neurosciences Institute Stanford University Stanford CA United States Veterans Affairs Palo Alto Healthcare System and the Sierra Pacific Mental Illness Research Education and Clinical Center (MIRECC) Palo Alto CA United States Department of Electrical and Computer Engineering Lehigh University Bethlehem PA United States

Background: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major depression disorder (MDD), particularly for treatment-resistant cases. However, identifying translatable biomarkers predictive of treatment outcomes remains underexplored. Methods: Participants with treatment resistant depression from the TDBRAIN dataset underwent either high frequency rTMS (10 Hz) at the left dorsolateral prefrontal cortex (DLPFC) (Protocol 1, n = 44) or low frequency rTMS (1 Hz) at the right DLPFC (Protocol 2, n = 73). Pre-treatment electroencephalograms (EEG) was collected, and changes in Beck Depression Inventory were measured post-treatment. EEG oscillations were decomposed into multiband intrinsic mode functions (IMF) and integrated under a latent space predictive modeling framework to identify signatures for predicting treatment outcomes. Results: Multiband signatures significantly predicted rTMS outcomes (Protocol 1: r = 0.40, p < 0.01;Protocol 2: r = 0.26, p < 0.05). Key spatial patterns linked to treatment outcomes were identified, revealing three main oscillations: IMF-Alpha, IMF-Beta, and the residual signal. In Protocol 1, critical regions included the left frontal and parietal regions for IMF-Alpha, left frontal-central and right parietal regions for IMF-Beta, and bi-hemispheric central and left parietal-occipital regions for residual signals. In Protocol 2, critical regions involved the left frontal and parietal regions for IMF-Alpha, left frontal-central region IMF-Beta, and right frontal, left frontal-central, midline central, and left parietal-occipital regions for residual signals. These oscillatory features also showed correlations with specific personality measures, suggesting their potential clinical relevance. Conclusion: Our findings demonstrate the promise of machine learning-driven multiband EEG signatures for personalized MDD treatment prediction, offering a translatable pathway for improved patient outcomes. © 2025 Elsevier

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Ontology-based fuzzy markup language agent for student and robot co-learning

arXiv

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arXiv 2018年

作者： Lee, Chang-Shing Wang, Mei-Hui Huang, Tzong-Xiang Chen, Li-Chung Huang, Yung-Ching Yang, Sheng-Chi Tseng, Chien-Hsun Hung, Pi-Hsia Kubota, Naoyuki Dept. of Computer Science and Information Engineering National University of Tainan Tainan Taiwan Dept. of Education National University of Tainan Tainan Taiwan Dept. of System Design Tokyo Metropolitan University Tokyo Japan

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The machine-human co-learning model is established to help various students learn the mathematical concepts based on their learning ability and performance. Meanwhile, the robot acts as a teacher's assistant to co-learn with children in the class. The FML-based knowledge base and rule base are embedded in the robot so that the teachers can get feedback from the robot on whether students make progress or not. Next, we inferred students' learning performance based on learning content's difficulty and students' ability, concentration level, as well as teamwork sprit in the class. Experimental results show that learning with the robot is helpful for disadvantaged and below-basic children. Moreover, the accuracy of the intelligent FML-based agent for student learning is increased after machine learning mechanism. Copyright © 2018, The Authors. All rights reserved.

关键词： Students

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PID control based on GCAQBP algorithm

IPPTA: Quarterly Journal of Indian Pulp and Paper Technical ...

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IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association 2018年第3期30卷 161-165页

作者： Wang, Qizhi Wang, Xiaoxia Sun, Bingyang College of Mechanical Engineering and Automation Key Laboratory of Process Monitoring and System Optimization for Mechanical and Electrical Equipment Fujian Province University Huaqiao University Xiamen361021 China College of Computer Science and Technolog Huaqiao University Xiamen361021 China College of Mechanical Engineering and Automation Huaqiao University Xiamen361021 China

The conventional PID controller cannot have a satisfactory performance when it has been applied in the nonlinear system. In this paper, GCAQBP algorithm for complex-valued neural networks is proposed in control system. The approach based on an artificial neural network (ANN) is presented for control system. The ANN model is based on GCAQBP (Globally Convergent Adaptive Quick Back Propagation) algorithm. The method adopts the advanced algorithm of BPNN for nonlinear system to estimate the parameters of PID, increase the control signal and reduce the error results. Simulations show it has high robustness, simulation results are also presented to exhibit the effectiveness of the proposed GCAQBP algorithm. © 2018 Indian Pulp and Paper Technical Association. All rights reserved.

关键词： Neural networks

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Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning

Ontology-based Fuzzy Markup Language Agent for Student and R...

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IEEE International Conference on Fuzzy systems

作者： Chang-Shing Lee Mei-Hui Wang Tzong-Xiang Huang Li-Chung Chen Yung-Ching Huang Sheng-Chi Yang Chien-Hsun Tseng Pi-Hsia Hung Naoyuki Kubota Dept. of Computer Science and Information Engineering National University of Tainan Tainan Tawain Dept. of Education National University of Tainan Tainan Tawain Dept. of System Design Tokyo Metropolitan University Tokyo Japan

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The machine-human co-learning model is established to help various students learn the mathematical concepts based on their learning ability and performance. Meanwhile, the robot acts as a teacher's assistant to co-learn with children in the class. The FML-based knowledge base and rule base are embedded in the robot so that the teachers can get feedback from the robot on whether students make progress or not. Next, we infer students' learning performance based on learning content's difficulty and students' ability, concentration level, as well as teamwork spirit in the class. Moreover, we combine the optimization techniques such as genetic algorithm (GA) and particle swarm optimization (PSO) with FML, called GFML and PFML, respectively, to learn the constructed knowledge base and rule base. Experimental results show that learning with the robot is helpful for disadvantaged and below-basic children. Moreover, the accuracy of the intelligent FML-based agent for student learning is increased after machine learning mechanism.

关键词： Ontologies Linguistics Input variables Knowledge based systems Educational robots Markup languages

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Research Notes: Distributed Shadow for Router Security Defense

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International Journal of Software engineering and Knowledge engineering 2018年第2期28卷 193-206页

作者： Yufeng Li Le Tian Han Qiu Chuanhao Zhang National Digital Switching System Engineering and Technological R&D Center Zhengzhou Henan 450002 P. R. China School of Computer Engineering and Science Shanghai University Shanghai 200023 P. R. China Railway Police College Zhengzhou Henan 450000 P. R. China

Router security defense technologies emerging in recent years could hardly detect and block the new booming threats with unknown signatures such as hardware Trojan, zero-day attacks, etc. We present a novel router defense technology, distributed router shadow, which builds a closed execution environment to deceive attacks entering into the router, thereby misleading the attackers into regarding it as the real attack target and executing the suspicious code to maximize the chances of detonating the system exploit; thus the original router is prevented from attacking and the suspicious code can be detected. Our experiment and analysis show that the router shadow can defend not only attacks with signature but also some new attacks without signature.

关键词： Router security distributed shadow control plane pass-through protection

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Prototype of Learning Applications for Modern Cryptographic Techniques Using RC4 Algorithms to Support computer Security Courses 1

Prototype of Learning Applications for Modern Cryptographic ...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Iqbal, Muhammad Nazar, Nasrul Erliana, Cut Ita Irwansyah, Defi Kurniasih, Nuning Susilo, Edi Iskandar, Akbar Suryani, Rini Supriyono Sudarmaji Permana, Erwin Putera Erwinsyah, Alfian Sujinah Haimah Sudarsana, I Ketut Department of Computer System Universitas Pembangunan Panca Budi Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Departement of Agrotechnology University of Ratu Samban Bengkulu Indonesia Department of Informatics Universitas Malikussaleh Lhokseumawe Indonesia Departement of Agrotechnology Sekolah Tinggi Ilmu Pertanian Rejang Lebong Bengkulu Indonesia Department of Geography Education Universitas Prof. Dr. Hazairin SH. Bengkulu Bengkulu Indonesia Faculty of Computer Sciences Universitas Muhammadiyah Metro Indonesia Department of Elementary School Teacher Education Universitas Nusantara PGRI Kediri Indonesia Faculty of Education and Teacher Training IAIN Sultan Amai Gorontalo Indonesia Faculty of Education University Muhammadiyah of Surabaya Surabaya Indonesia Department of Education Management Universitas Prof. Dr. Hazairin SH.Bengkulu Bengkulu Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

The security of information in this global era is increasingly becoming a vital need in various aspects of life. An information will have a higher value when it comes to aspects of business decisions. This study presents a learning application to explain how to secure data using cryptographic techniques. This study aims to design a prototype learning application of cryptographic techniques using algorithm RC4 method. Based on the results of data analysis and after completing the design of RC4 algorithm cryptographic learning software, the authors found this software shows every step and stages of the processes (data input process (Plaintext or Ciphertext string), Key padding process (U), formation process in S-Box table, the Key-Flow formation process (K-keystream), encryption process and decryption process) contained in RC4 algorithm cryptography, so it can help understanding or learning work procedures of algorithms in the cryptographic method. Microsoft Visual Basic 2008 is an IDE (Integrated Development Environment) application that is used to create and develop software. In this application there were various features that facilitate programming such as compilation, debugging, project settings, designing and editing visual interfaces, and so on. © Published under licence by IOP Publishing Ltd.

关键词： Cryptography

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On variable dependencies and compressed pattern databases 10

On variable dependencies and compressed pattern databases

引用

10th Annual Symposium on Combinatorial Search, SoCS 2017

作者： Helmert, Malte Sturtevant, Nathan R. Felner, Ariel Dept. of Math. and Computer Science Universität Basel Basel Switzerland Dept. of Computer Science University of Denver DenverCO United States Dept. of Information System Engineering Ben Gurion University Beer-Sheva Israel

Pattern databases are among the strongest known heuristics for many classical search benchmarks such as sliding-tile puzzles, the 4-peg Towers of Hanoi puzzles, Rubik’s Cube, and TopSpin. Min-compression is a generally applicable technique for augmenting pattern database heuristics that has led to marked experimental improvements in some settings, while being ineffective in others. We provide a theoretical explanation for these experimental phenomena by studying the interaction between the ranking function used to order abstract states in a pattern database, the compression scheme used to abstract states, and the dependencies between state variables in the problem representation. Copyright c 2017, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Database systems

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IAC-17.B4.9-GTS.5.8: Design and development of a three-axis controlled helmholtz cage as an in-house magnetic field simulator for cubesats 68

IAC-17.B4.9-GTS.5.8: Design and development of a three-axis ...

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68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017

作者： Goyal, Tushar Batta, Karabee Baranwal, Prerna Awais, Ahmed N.A. More, Niharika Panigrahi, Rudrakh Kaushik, Tushar -Pilani 333031 India Department of Computer Science and Information System BITS Pilani 333031 India Department of Mechanical Engineering BITS Pilani 333031 India Department of Civil Engineering BITS Pilani 333031 India

ISBN: (纸本)9781510855373

Team Anant is the University Student Satellite Team of Birla Institute of Technology and science, Pilani, India. The paper presents the details of the design and in-house development of a Three-axis Controlled Helmholtz Cage prepared by the members of the Team as an Attitude Determination and Control test bed for CubeSat type Nanosatellites. The testbed has been designed to provide a testing volume of approximately 90 dm3 with uniform magnetic field, which is sufficient to test nanosatellites of up to 3U Size (CalPoly Standard). The maximum designed magnetic field intensity for each coil is 120 iT. The cage has been designed so as to simulate the magnetic field over the entire range of Low Earth Orbits. The paper begins from the very basic coil design requirements with brief analysis of the dimensional requirements and materials to be used. The analysis is complemented with a budget optimization model for a cost-effective setup. The cage has an unconventional but improvised Square-Coil design. The methodology applied for the structure design and assembly of the cage has been presented in a thorough manner. Brief information about the internal and external, software and hardware connections has been provided. All other relevant information has been presented to provide a step by step guide for the development of the cage. Aluminum Square Pipes and Aluminum Flats were used to prepare the structure of the Cage supplemented by Copper Wire for the production of the field. MATLAB is used to determine the Magnetic Field Intensities along the orbit which are then translated in real time to current intensities on the three pair of Coils. A brief assessment of the circuitry used for producing the required currents is also presented. The system is able to perform as expected in common configurations and is able to produce the desirable field in all three axes. The paper concludes with the experimental data obtained during the preliminary testing of the structure of the cage. ©

关键词： Magnetic fields

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Visible astro-comb filtered by a passively-stabilized Fabry-Perot cavity

arXiv

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arXiv 2018年

作者： Ma, Yuxuan Meng, Fei Liu, Yizhou Zhao, Fei Zhao, Gang Wang, Aimin Zhang, Zhigang State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Engineering and Computer Science Peking University Beijing100871 China National Astronomical Observatories of China Chinese Academy of Science Beijing100012 China National Institute of Metrology Beijing100029 China

We demonstrate a compact 29.3 GHz visible astro-comb covering the spectrum from 560nm to 700nm. A 837 MHz Yb:fiber laser frequency comb phase locked to a Rb clock served as the seed comb to ensure the frequency stability and high side mode suppression ratio. After the visible super-continuum generation, a cavity-length-fixed Fabry-Perot cavity made by ultra-low expansion glass was utilized to filter the comb teeth for eliminating the rapid active dithering. The mirrors were home-made complementary chirped mirrors pair with zero dispersion and high reflection to guarantee no mode skipping. These filtered comb teeth were clearly resolved in an astronomical spectrograph of 49,000 resolution, exhibiting sharp linetype, zero noise floor, and uniform exposure amplitude. Copyright © 2018, The Authors. All rights reserved.

关键词： Cavity resonators

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