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5th Korea-Russia International Symposium on Science and Technology, KORUS 2001

作者： Gavrilov, A. Novitskaya, J. Automation and Computer Engineering Faculty Novosibirsk State Technical University Nemirovich-Danchenko str. 136 Novosibirsk630087 Russia

ISBN: (纸本)0780370082

The architecture of the toolkit ESWin (Expert Systems under Windows) and hybrid expert systems supported by it are described. Knowledge representation by rules and frames is used. The possibility of keeping and extracting data from external databases by external programs is provided. Frames allow one to describe an application domain in terms of hierarchies of classes and owners. Frames consist of slots, which can be symbols, numerical or linguistic variables, or date and time. Frames can be joined with rules and procedures, processing determined events. Three types of frames are used: frame classes;frame examples, in which facts are described;and frame patterns, in which situations (events, examples, etc.) are described. Inverse fuzzy inference is used as the main method of knowledge processing. Fuzzy rules are assigned and processed, on the one hand, by using certain factors of conclusions of rules, and, on the other hand, by using linguistic variables. A user can enter both numerical and fuzzy symbol values of corresponding slots using linguistic variables. The ESWin software consists of three modules - a shell-interpreter, an editor-constructor of knowledge bases and a program for the viewing and diagnosis of knowledge bases. © 2001 IEEE.

关键词： Fuzzy inference

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An intelligent AE sensor for the monitoring of finish machining process 2

An intelligent AE sensor for the monitoring of finish machin...

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2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

作者： Dolinsek, S. Kopac, J. Viharos, Z.J. Monostori, L. University of Ljubljana Faculty of Mechanical Engineering Ljubljana Slovenia Computer and Automation Research Institute Hungarian Academy of Science Budapest Hungary

ISBN: (纸本)0780354893

The paper presents the latest results of sensing the cutting process on the basis of AE signals and some particularities in further development of the monitoring model for the finish turning process. Due toinon-linearity, the large number of influencing parameters and missing information in AE data, the Artificial Neural Networks were chosen as a monitoring decision tool. The problem of accurateness in predicting the surface roughness on the basis of AE - because of the mutual interdependence of the data - requires a special procedure for building a neural network model. The final aim of such an approach is presented as improvements in learning or considerable reduction in error prediction. Further development of the monitoring model has the goal of building a so-called intelligent sensor, which should be able to perform the signal conditioning and feature extraction process. © 1999 IEEE.

关键词： Surface roughness

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The Real-time Constraint Semantics of Events-driven State Transition for Embedded Control Systems 29

The Real-time Constraint Semantics of Events-driven State Tr...

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第29届中国控制与决策会议

作者： Zhang Jing Chen Yao Sun Jun Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

In this paper,we study the process of physical state transition in the embedded *** key to dramatically increase the efficiency of system is important to meet the deadline and the quality of task process for actors which were released the real-time events and were driven to transfer the state of the *** address these two goals at the same time,we defined a real-time events label of the value constraint and clock constraint conditions,and established a super dense time model contained constraint *** on partial order model to simulate the state time sequence order,we proposed a real-time semantics of the state transition for embedded control *** embedded system state transition constraint while supporting the value constraint was proposed,and this model validation under the clock constraint of events,was ensured real-time operation in the process of execution sequence what has a certain event and *** example of laser gyroscope blocking threshold test system is performed to evaluate the performance of the feedback controller in-depth research which has the effect of value constraint for the state transition of systems.

关键词： Embedded control Real-time events label State transition Constraint conditions Execution sequence

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The Impact of Domain Name Server(DNS)over Hypertext Transfer Protocol Secure(HTTPS)on Cyber Security:Limitations,Challenges,and Detection Techniques

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computers, Materials & Continua 2024年第9期80卷 4513-4542页

作者： Muhammad Dawood Shanshan Tu Chuangbai Xiao Muhammad Haris Hisham Alasmary Muhammad Waqas Sadaqat Ur Rehman Faculty of Information Technology Beijing University of TechnologyBeijing100124China National Center of Robotics and Automation University of Engineering and TechnologyPeshawar25000Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia School of Computing and Engineering Sciences Faculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUnited Kingdom School of Engineering Edith Cowan UniversityPerthWA 6027Australia School of Computer Science and Engineering University of SalfordManchesterM54BRUnited Kingdom

The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of ***,the adoption of DoH is still facing several research challenges,such as ensuring security,compatibility,standardization,performance,privacy,and increasing user *** significantly impacts network security,including better end-user privacy and security,challenges for network security professionals,increasing usage of encrypted malware communication,and difficulty adapting DNS-based security ***,it is important to understand the impact of DoH on network security and develop newprivacy-preserving techniques to allowthe analysis of DoH traffic without compromising user *** paper provides an in-depth analysis of the effects of DoH on *** discuss various techniques for detecting DoH tunneling and identify essential research challenges that need to be addressed in future security ***,this paper highlights the need for continued research and development to ensure the effectiveness of DoH as a tool for improving privacy and security.

关键词： DNS DNS over HTTPS cybersecurity machine learning

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Energy-based Control of Three-Link Planar Robot with Last Active Link

Energy-based Control of Three-Link Planar Robot with Last Ac...

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2022 Chinese automation Congress, CAC 2022

作者： Wang, Yongjia Xin, Xin Liu, Yannian Southeast University School of Automation Nanjing China Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama Japan

ISBN: (纸本)9781665465335

This paper studies the energy-based control for a 3-link planar robot with last active link, for which the angle between the last link and the vertical is actuated. The swing-up and stabilizing task around the robot's upright equilibrium point (UEP) is investigated. An energy-based controller is derived to control both its overall energy and actuated variable. By presenting a property of the robot that holds under arbitrary physical parameters, this paper proves that almost all initial states converge to an invariant set where the last link is upright and the robot's overall energy equals its value at the UEP, providing certain requirements on control gains are satisfied. This paper provides simulation verification for the obtained theoretical results, in which a local stabilizing controller is utilized to accomplish stabilization at the UEP. © 2022 IEEE.

关键词： Motion analysis

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PCB testing using infrared thermal signatures

PCB testing using infrared thermal signatures

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IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference

作者： Moldovan, Horatiu Marcu, Marius Vladutiu, Mircea Department of Computer and Software Engineering Politehnica University of Timisoara Faculty of Automation Control and Computer Science Postal Address 2 V. Parvan Timisoara Romania

ISBN: (纸本)0780388798

A Printed Circuit Board (PCB) testing method using infrared thermal signatures is presented. The concept of thermal signature for PCBs is introduced. Based on this concept, the testing method is able to classify the integrated circuits (ICs) on a PCB into a number of classes (e.g. functional - fault free, non-functional - faulty and less reliable - functional circuits with high current consumption). According with thermal signature of each IC on the PCB, the PCBs can be also classified in the same number of classes. The classification system is a feed-forward neural network that learns and classifies the information achieved from the infrared image. © 2005 IEEE.

关键词： Printed circuit boards

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Are Disaster Recovery Levels sufficient to assess the Data Center's disaster preparedness? 27

Are Disaster Recovery Levels sufficient to assess the Data C...

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27th IEEE International Scientific Conference Electronics, ET 2018

作者： Radkov, Rosen Stefanov Dimitrov, Ivan Dimitrov Department of Software and Internet Technologies Faculty of Computer Sciences and Automation Technical University of Varna 1 Studentska Str. Varna9010 Bulgaria Department of Computer Science and Engineering Faculty of Computer Sciences and Automation Technical University of Varna 1 Studentska Str. Varna9010 Bulgaria

ISBN: (纸本)9781538666920

It is of utmost importance for each organization to ensure the continuity of its work and the rapid recovery after an *** are classifications to assess the level of IT infrastructures according to their disaster recovery capabilities. In this paper, the authors make a critical analysis of these classifications and prove that they are obsolete and insufficient to determine that the risks associated with the operation of an IT infrastructures are covered. It is proposed to include additional indicators in assessing the sustainability of IT infrastructures against disasters that take into account not only the technical solutions applied in IT infrastructures but also the organization of its operation as well as the more frequent updating of the assessment approach in order to take into account new technologies and the current threats to the operation of an IT infrastructure. © 2018 IEEE.

关键词： Disasters

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A parallel uncertain frequent itemset mining algorithm with spark 20

A parallel uncertain frequent itemset mining algorithm with ...

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20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

作者： Ding, Jiaman Li, Haibin Wang, Yuanyuan Jia, Lianyin You, Jinguo Yang, Yang Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China College of Engineering and Computer Science Australian National University Canberra Australia

ISBN: (纸本)9781728126166

Frequent Itemset Mining (FIM) from large-scale databases has emerged as an important problem in the data mining and knowledge discovery research community. However, FIM suffers from three important limitations with the rapidly expanding of big data in all domains. First, it assumes that all items have the same importance. Second, it ignores the fact that data collected in a real-life environment is often inaccurate. Third, it is also a data-intensive and computation-intensive process which makes the FIM algorithm very time-consuming over large datasets. To address these issues, we propose a Parallel uncertain frequent itemset mining algorithm with spark (Pufim). Pufim firstly expresses item uncertainty by considering both the probability and weight, and calculates the maximum probability weight value of 1-items. Next, a distributed Pufim-tree structure is designed inspiring by FP-Tree for reducing the times of scanning the databases. Each node of Pufim-tree stores an item and its maximum probability weight value. Finally, experiments on publicly available UCI datasets demonstrate that Pufim achieves more prominent results than other related approaches across various metrics. In addition, the empirical study also shows Pufim has a good scalability. © 2019 IEEE.

关键词： Data mining

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The Research on Real-time Fault Diagnostic Method of Engine Embedded by GA Optimization and BP Neural Networks 29

The Research on Real-time Fault Diagnostic Method of Engine ...

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第29届中国控制与决策会议

作者： Zhang Jing Fu Xin Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

Embedded system real time measurement and representation method is widely used in industrial CPS control system application,such as engine fault *** malfunction diagnostic methods,which filter the changes in measurable parameters through Kalman filter and then map them to changes in performance parameters of the engine via neural network,have the weaknesses in that the neural network has a slow convergence rate and the optimum is prone to local ***,proposes an approach using genetic algorithm,which stands out in finding global optimum,to refine BP neural *** approach uses global optimum to refine the initial and threshold values of the neural network,decreasing the times of neural network trainings,and thus reducing the training error and lowering the time of *** simulation shows that the approach is feasible,improves the real-timing and error precision of malfunction diagnosis,and therefore is highly valuable in applications.

关键词： Back Propagation neural network genetic algorithm real-time fault diagnosis embedded aeroengines

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The Prediction of COVID-19 Pandemic Situation in Indonesia Using SVR and SIR Algorithm 6

The Prediction of COVID-19 Pandemic Situation in Indonesia U...

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6th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2022

作者： Yaqin, Ainul Rahardi, Majid Abdulloh, Ferian Fauzi Kusnawi Budiprayitno, Slamet Fatonah, Siti Universitas Amikom Yogyakarta Faculty of Computer Science Yogyakarta Indonesia Institut Teknologi Sepuluh Nopember Vocational Faculty Department of Electrical and Automation Engineering Surabaya Indonesia

ISBN: (纸本)9798350399615

The COVID-19 epidemic, which initially surfaced at the end of 2019, has since expanded to every corner of the globe and has profoundly impacted all facets of human existence. This case started to emerge in Indonesia at the end of February 2020, and until this point, there has been a spike in new patients. Researchers have run several models and projections for COVID-19 cases in Indonesia, but the results are not yet entirely reliable. Predictions produced at the national level must take into account these variations in patterns because this is likely related to the distinct patterns in each region. In this study, the prediction process will be conducted for cases of COVID-19 by using the SVR algorithm and mathematical models to predict reproduction numbers. SVR analysis to overcome the problem of nonlinearity of data in model formation. The modeling is done based on the SIR model, whose parameters are estimated based on the data. Testing result by using 3 kernels is different on each test, prediction of data cases and the level of mistake room are by using Kernel ' RBF ' with a value of C = 1E3, and gamma = 0.1 with the value of MAPE and MSE respectively are 4.5% and 4.2. © 2022 IEEE.

关键词： covid-19 Pandemic Prediction reproduction number SIR Model SVR

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