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Low Cost Platform for Automatic control Education Based on Open Hardware.

IFAC Proceedings Volumes 2014年第3期47卷 9044-9050页

作者： A. Soriano L. Marín M. Vallés A. Valera P. Albertos Department of Systems Engineering and Control Institute of Control Systems and Industrial Computing Universidad Politécnica de Valencia Camino de Vera E-46022 Valencia Spain

Automatic control, as well as the introduction to programming, are subjects increasingly being taught to young engineering students. For this reason the availability of a suitable platform for the laboratory work becomes a critical decision, in order to promote students' motivation to experience the theoretical concepts studied in the classroom. Until recently, the only option to perform laboratory work in this kind of subjects was to use closed platforms commercially available but today, thanks to advances in technology, many open hardware options supporting standard and intuitive programming languages are available. In order to provide a multidisciplinary low cost open platform for the automatic control introductory courses, an example of open-source educational platform easily programmable composed by a differential mobile robot with a robotic arm manipulator is presented in this paper.

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ROCFL: A Robust Clustered Federated Learning Framework towards Heterogeneous Data

ROCFL: A Robust Clustered Federated Learning Framework towar...

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2023 International Conference on Intelligent Communication and Networking, ICN 2023

作者： Li, Zihan Guan, Zhitao Yuan, Shuai An, Ningyu Liang, Xiao North China Electric Power University School of Control and Computer Engineering Beijing China Canada State Grid Smart Grid Research Institute State Grid Laboratory of Grid Advanced Computing and Applications Beijing China

ISBN: (纸本)9798350357677

As a decentralized machine learning approach, federated learning has become a key solution for numerous applications. However, one primary challenge lies in the data heterogeneity issue when developing effective federated learning algorithms. While many existing frameworks address the concern of non-independent and identically distributed data(non-IID), they have not considered heterogeneity of data quality. Therefore, we propose ROCFL, a robust clustered federated learning method in this study, which can amplify the disparity in weight allocation between models trained on different quality data. We first develop an optimal clustering matching mechanism that groups clients with similar data distributions. This allows the optimal clustering model to be derived without specifying a predetermined number of clusters. Next, we introduce a personalized weight allocation strategy, which assigns a weight benchmark to each cluster based on its cluster importance index. This strategy mitigates the negative impacts of low-quality data during model aggregation. Finally, we design a federated aggregation strategy grounded in a sampling approach. It not only ensures unbiased sampling but also significantly reduces both computational and communication overheads. Experiments have been carried out and the results demonstrate that higher accuracy and robustness can be achieved by ROCFL in scenarios wherein data distribution and quality heterogeneity coexist, in comparison with the benchmarks. © 2023 IEEE.

关键词： Learning algorithms

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Optimizing temperature distributions for training neural quantum states using parallel tempering

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Physical Review E 2025年第5期111卷 055306-055306页

作者： Conor Smith Quinn T. Campbell Tameem Albash Center for Quantum Information and Control University of New Mexico University of New Mexico Albuquerque New Mexico 87131 USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA Center for Computational Quantum Physics Flatiron Institute New York New York 10010 USA Center for Computing Research Sandia National Laboratories Albuquerque New Mexico 87185 USA

Parametrized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonians. Nevertheless, the training of the ANN can be slow and stymied by the presence of local minima in the parameter landscape. One approach to mitigate this issue is to use parallel tempering methods, and in this work, we focus on the role played by the temperature distribution of the parallel tempering replicas. Using an adaptive method that adjusts the temperatures in order to equate the exchange probability between neighboring replicas, we show that this temperature optimization can significantly increase the success rate of the variational algorithm with negligible computational cost by eliminating bottlenecks in the replicas' random walk. We demonstrate this using two different neural networks, a restricted Boltzmann machine and a feedforward network, which we use to study a toy problem based on a permutation invariant Hamiltonian with a pernicious local minimum and the J1−J2 model on a rectangular lattice.

关键词： Hamiltonians

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Face detection method for public safety surveillance based on convex

Face detection method for public safety surveillance based o...

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作者： Wu, Jianhui Huang, Feng Hu, Wenjing He, Wei Bing, Tu Guo, Longyuan Ou, Xianfeng Key Laboratory of Optimization and Control for Complex Systems College of Information and Communication Engineering China Research Center for Heterogeneous Computing and It's Application Hunan Institute of Science ATechnology. Hunan Province Yueyang414006 China

Face dejection Is very important in video surveillance of public safely. This paper proposed a face dejection method based on the best optimization convex grouping to detect the face regions from different face shape images at actual conditions. Firstly, the basic principle of convex grouping was discussed, the main rules of convex and the structure of the convex polygons was described. And then the best optimization convex grouping algorithm of the convex polygons was designed. At last, all of the algorithms, which used the best optimization convex grouping to delect the face region on tl∗r data set of MIT single face sample library were tested. This sample library contains positive faces, side faces and other sorts of posture. The experiment result showed that the best optimization convex grouping method could detected the face regions accurately, even if the face postures are positive, side or others, our proposed method was effective, and it was not affected by color and light Compared with other typical algorithms, this proposed method had higher defection accuracy, and it could be used directly without training. Meanwhile, there was a better stability and reliability in the actual processing, which could satisfy the requirements of practical application. © 2018 CRL Publishing. All rights reserved.

关键词： Face recognition

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MDM: A mode diagram modeling framework for periodic control systems 1

MDM: A mode diagram modeling framework for periodic control ...

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1st International Workshop on Formal Techniques for Safety-Critical Systems, FTSCS 2012

作者： Wang, Zheng Pu, Geguang Li, Jianwen He, Jifeng Larsen, Kim G. Madsen, Jan Qin, Shenchao Gu, Bin Shanghai Key Laboratory of Trustworthy Computing East China Normal University China Aalborg University of Denmark Denmark Technical University of Denmark Denmark University of Teesside United Kingdom Beijing Institute of Control Engineering China

Periodic control systems used in spacecrafts and automotives are usually period-driven and can be decomposed into different modes with each mode representing a system state observed from outside. Such systems may also involve intensive computing in their modes. Despite the fact that such control systems are widely used in the above-mentioned safety-critical embedded domains, there is lack of domain-specific formal modeling languages for such systems in the relevant industry. To address this problem, we propose a formal visual modeling framework called MDM as a concise and precise way to specify and analyze such systems. To capture the temporal properties of periodic control systems, we provide, along with MDM, a property specification language based on interval logic for the description of concrete temporal requirements the engineers are concerned with. The statistical model checking technique can then be used to verify the MDM models against the desired properties. To demonstrate the viability of our approach, we have applied our modeling framework to some real-life case studies from industry and helped detect two design defects for some spacecraft control system. © Zheng WANG et al.

关键词： Specification languages

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Data protection and provenance in cloud of things environment: Research challenges

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International Journal of Information and Computer Security 2020年第4期12卷 416-435页

作者： Wang, Chundong Yang, Lei Guo, Hao Wan, Fujin Key Laboratory of Computer Vision and System Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin China Global Energy Internet Research Institute Beijing University of Technology Tianjin China Department of College of Computer and Control Engineering Nankai University Tianjin China

Internet of things are increasingly being deployed over the cloud (also referred to as cloud of things) to provide a broader range of services. However, there are serious challenges of CoT in the data protection and security provenance. This paper proposes a data privacy protection and provenance model (DPSPM) based on CoT. It can protect the privacy data of the users and trace the source of leaked data. In detail, security encryption and watermarking algorithms are proposed. Meanwhile, we use the improved k-anonymity data masking algorithm and pseudo-row watermarking algorithm in this scheme. Those algorithms can carry out security control over the whole process of data publishing, especially in data encryption, data masking and provenance verification. Finally, the experimental results show that our scheme has good efficiency. It is proved that the data masking time is proportional to the parameters k and L, the results also show good robustness to the common database watermarking attacks. © 2020 Inderscience Enterprises Ltd.

关键词： Data privacy

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PITD3-based Autonomous Evasion Decision-making Method for Aircraft

PITD3-based Autonomous Evasion Decision-making Method for Ai...

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第43届中国控制会议

作者： Chang Liu Liqian Dou Ruilong Zhang Yifan Tang Mengyuan Ren Lun Zhang School of Electrical Engineering and Automation Beijing Aerospace Automatic Control Institute Tianjin Aerospace Institute of Computing Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Outstanding autonomous evasion decision-making capability has an important significance for ensuring flight safety and enhancing the autonomy of the aircraft. In this paper, a prediction information-based TD3(PITD3) evasion decision-making algorithm for aircraft is proposed, which can autonomously evade the interceptors' attack in an antagonistic environment. Firstly,an antagonistic environment is described according to environmental constraints and the dynamics of the aircraft and interceptor. Secondly, the autonomous decision-making process of the aircraft facing the threat target is modelled as a Markov decision process to describe the state information of the aircraft and interceptor. Finally, an autonomous evasion decision-making method based on the twin delayed deep deterministic policy gradient(TD3) is designed to find the optimal strategy, and the effectiveness of the proposed autonomous evasion decision-making method is demonstrated by simulation results and comparative experiments.

关键词： PITD3 Autonomous Evasion Decision-Making Deep Reinforcement Learning Decision Network Aircraft

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Classification of Software Developer Skills Using Analysis of Russian Job Ads

Classification of Software Developer Skills Using Analysis o...

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2022 Ural Symposium on Biomedical engineering, Radioelectronics and Information Technology, USBEREIT 2022

作者： Shadrin, Denis Sozykin, Andrey Kuklin, Evgeniy Bersenev, Alexander Ural Federal University Engineering School of IT Telecom. and Control Systems Ekaterinburg Russia N.N. Krasovskii Institute of Mathematics and Mechanics Department of Computing Systems Ekaterinburg Russia Ural Federal University Institute of Natural Sciences and Mathematics Ekaterinburg Russia

ISBN: (数字)9781665460927

ISBN: (纸本)9781665460927

In this paper we present our findings in IT job market analysis and share our ideas of how they could be applied for designing new software development educational programs. This is relevant the current situation, when university programs cannot keep up with the changes in technologies and skills that employers require, also be constrained by Russian professional standards. To solve the problem of compatibility of educational programs with labor market requirements, we propose to create flexible educational programs based on the most common competencies in the most popular professions found in IT job advertisements. In total, we analyzed about 380000 IT vacancies for 2021-2022 downloaded from HeadHunter, the top Russian job website. The paper describes our results in classification of software engineering skills extracted from the job ads, and how one can apply these results for teaching new professions based on these skills. © 2022 IEEE.

关键词： Data mining

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The impact of vocabulary size and language model order on the polish whispery speech recognition

The impact of vocabulary size and language model order on th...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Piotr Kozierski Talar Sadalla Szymon Drgas Adam Dąbrowski Joanna Zietkiewicz Poznan University of Technology Pozuan Faculty of Computing Institute of Automation and Robotics Faculty of Electrical Engineering Institute of Control

The article presents studies on the automatic whispery speech recognition. In the performed research a new corpus with whispery speech has been used. The aim of studies presented in this paper was to check, how the vocabulary size and the language model order influence on the speech recognition quality. It has been concluded that even using recordings with 5,000 different words only it is possible to prepare large vocabulary continuous speech recognition (LVCSR) model. It has been also found that the third order of language model is the best choice. The difference between normal and whispery speech is negligible and is manifested only in higher word error rate index (about 1.5 times higher for whispery speech).

关键词： Speech Speech recognition Vocabulary Training Hidden Markov models Error analysis

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Artificial power system based on ACP approach

Artificial power system based on ACP approach

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Dong, Xisong Xiong, Gang Hou, Jiachen Fan, Dong State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Modern power system is a typical multi-level complex giant system consisting of physical infrastructures, human operators, and social resources, etc. The conventional analytical methods and simulation systems can't provide sufficient guidance for its operation and management, because they are mainly based on physical models, natural phenomenon, or other existing control methods which are based on reductionism. ACP approach, mainly consisting of artificial systems (A), computational experiments (C) and parallel execution (P), which is based on holism and complex system theory, has its specific advantages in the research on power systems. In this article, ACP approach is applied to build up artificial power system (APS) by using multi-agent complex networks. With the help of APS, actual power system's control, scheduling, optimization and management can be improved further via providing theoretical guidance and technical support for the rolling optimizations in normal situations and emergency management in abnormal situations. As a case study, an APS constructed with actual data from North China power grid is constructed and its vulnerability is simulated and analyzed under random, dynamic and static attacks. © 2012 IEEE.

关键词： Complex networks

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