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Research and prospect of multimedia information data mining

Recent Patents on computer science 2017年第1期10卷 25-33页

作者： Hou, Yan Guo, Huiling Nevin, Nigel School of Computer Science and Technology Zhoukou Normal University ZhouKou China Faculty of Information Engineering and Automation Kunming University of Science and Technology KunMing China California University of Management CA United States

Background: In the increasingly large scale of the current multimedia information database, as described in various patents, big data technology is becoming more and more mature, and the problem of massive multimedia data mining is becoming more and more important. Method: In order to solve these problems through the analysis of the status for multimedia data mining, the general system structure in the application of multimedia information mining technology is analyzed, and the different methods and principles of text mining, image mining, video mining, web data mining in multimedia information data mining are made detailed analysis and the advantage and disadvantages are contrasted. Through the design of different experiments, the effectiveness and inferior of different methods are verified. Result: In the improved algorithm, the mining result of the multimedia text data based on correlation analysis is very different from the actual multimedia text data, the result is closer to the original mining image result, so this method is more practical. Conclusion: Through the summary and discussion on the problems existed in the current method, the faced challenges of multimedia information data mining technology are pointed out, to lay the foundation for the further development of the related technology. © 2017 Bentham science Publishers.

关键词： Data mining

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Utilization of machine learning in vibrodiagnostics 23rd

Utilization of machine learning in vibrodiagnostics

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23rd International Conference on Soft Computing, MENDEL 2017

作者： Zuth, Daniel Marada, Tomáš Faculty of Mechanical Engineering Institute of Automation and Computer Science Brno University of Technology Brno Czech Republic

ISBN: (纸本)9783319978871

The article deals with possibilities of use machine learning in vibrodiagnostics to determine a fault type of the rotary machine. Sample data are simulated according to the expected vibration velocity waveform signal at a specific fault. Then the data are pre-processed and reduced for using Matlab Classification Learner which creates a model for identifying faults in the new data samples. The model is finally tested on a new sample data. The article serves to verify the possibility of this method for later use on a real machine. In this phase is tested data preprocessing and a suitable classification method. © Springer Nature Switzerland AG 2019.

关键词： Machine learning

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Modeling and control of three-phase inverter of swirl turbine

Modeling and control of three-phase inverter of swirl turbin...

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作者： Brezina, Tomas Hejc, Tomas Kovar, Jiri Faculty of Mechanical Engineering Brno University of Technology Institute of Automation and Computer Science Brno Czech Republic

ISBN: (纸本)9788080754778

This paper deals with a three-phase inverter controller design for monobloc configuration of small swirl turbine. The aim is an phasing of the system to grid. A simulation design is described which leads to cascade controller with simple structure: lower loop is used for amplitude control and upper loop for phase control. First the highly nonlinear detailed three-phase inverter with switching components and diodes is modeled. Then based on RMS measurement a compensated LTI model is extracted which is used by H-infinity loop-shaping controller synthesis for both controllers design. Lastly design results are verified by simulations applying original three-phase inverter model taking into account high level of disturbances. Resulting system meets with reserve desired behaviour. © 2011 Univ of Trencin.

关键词： Controllers

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Implementing a real-time locating system based on Wireless Sensor Networks and artificial neural networks to mitigate the multipath effect

Implementing a real-time locating system based on Wireless S...

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作者： Tapia, Dante I. Alonso, Ricardo S. Rodriguez, Sara De La Prieta, Fernando Corchado, Juan M. Bajo, Javier Department of Computer Science and Automation University of Salamanca Salamanca Spain Faculty of Computer Science Pontifical University of Salamanca Salamanca Spain

ISBN: (纸本)9781457702679

Wireless Sensor Networks comprise an ideal technology to develop Real-Time Locating Systems (RTLSs) aimed at indoor environments, where existing global navigation satellite systems do not work correctly due to the blockage of the satellite signals. In this regard, one of the main challenges is to deal with the problems that arise from the effects of the propagation of radio frequency waves, such as multipath. This paper presents an innovative mathematical model for improving the accuracy of RTLSs, focusing on the mitigation of the mulipath effect by using Multi-Layer Perceptron Artificial Neural Networks. The model is used to implement a novel indoor Real-Time Locating System based on Wireless Sensor Networks. © 2011 IEEE.

关键词： Wireless sensor networks

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WSN Key Management Scheme Based on Fully Bomomorphic Encryption 29

WSN Key Management Scheme Based on Fully Bomomorphic Encrypt...

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第29届中国控制与决策会议

作者： Zhang Jing Ma Chen 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

Improving the safe WSN's real-time,energy consumption,and anti-leak is an important research *** on specific operations as addition,multiplication,and so *** homomorphic encryption can manipulate the ciphertext directly to get the correct results without *** fully homomorphic encryption's process of the decryption can be omitted,the safe WSN's characteristics such as real-time and so on can be improved *** management is an important problem of fully homomorphic encryption,in which the ability to anti-capture in WSN comes *** this paper,based on the calculation algorithm of two element symmetrical polynomials proposed by Blundo,we propose a pairwise key establishment scheme by introducing fully homomorphic encryption,which does not only prevent enemy intercepting information about polynomial relation,but also resist the large-scale node capture attack *** and experiments show that this scheme can totally meet the requirements of resource,energy consumption and so on of WSN,and improve the security of WSN at the meantime.

关键词： WSN homomorphic encryption key management

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An Improved Real-time Task Preemptive Scheduling In Cyber-Physical Systems 29

An Improved Real-time Task Preemptive Scheduling In Cyber-Ph...

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第29届中国控制与决策会议

作者： Zhang Jing Yang Xiaoduo 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

To improve the performance of real-time task scheduling and the utilization of the system resources in Cyber-Physical System,at the same time,to reduce the number of task switching,this paper improved traditional preemptive task scheduling,introduced the concept of buffer time and the guard time,made judgments when the task may need to switch to,according to the situation to retain the task which had lower priority but should not be suspended,and let the higher priority task wait for a ***,our research verifies the performance of the algorithm by examples and simulation experiments,demonstrates that the algorithm can optimize the performance of CPS,avoids the jitter caused by frequent task switching and its adverse effects on system performance,reduces the number of task switching,and improves the utilization of resources within the system to some extent.

关键词： CPS Task scheduling Buffer time Preemptive scheduling

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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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Mixed Reality Application in Robot Navigation and Control 16

Mixed Reality Application in Robot Navigation and Control

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16th International Conference on Applied and Theoretical Electricity, ICATE 2024

作者： Cismaru, Stefan-Irinel Petcu, Florina-Luminita Resceanu, Ionut-Cristian Roibu, Horatiu Trasculescu, Andrei-Costin Pana, Cristina-Floriana Bizdoaca, Nicu-George University of Craiova Faculty of Automation Computers and Electronics Mechatronics and Robotics Department Craiova Romania University of Craiova Faculty of Automation Computers and Electronics Computer Science Department Craiova Romania

ISBN: (纸本)9798350388107

Among the emerging technologies, Mixed Reality (MR) has provided the means to interact with holograms. A very distant future is now near and accessible, which allows for the replacement of classic controllers for robots and is driven by MR. Holograms involve dynamic 3D elements that are integrated into the environment, enhancing control means for the user. These elements may be visually attended to and interacted with via eye concentration or hand gestures, and they have the capability to execute a variety of activities. This emerging technology enables interactions that are otherwise unattainable in alternative settings or contexts, such as the presence of an avatar inside the program. Furthermore, it has the potential to be expanded to govern other mechatronic devices, including robots. The purpose of this work is to offer an improved and interactive method of controlling a mechatronic platform by using holograms, such that the adaptability of this technology may be shown in the context of operating real systems. Important for the authors of this paper is the broadening of the spectrum in which the application lies, thus contributing to the process followed for the development and applicability of the solution in key areas such as industry, training, and medicine. © 2024 IEEE.

关键词： Holograms

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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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Kernel contextual fuzzy rule model based on conditional input space partitioning driven by data reconstruction in autoencoder and randomization-based neural networks

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Knowledge-Based Systems 2025年 320卷

作者： Zhang, Congcong Oh, Sung-Kwun Fu, Zunwei Pedrycz, Witold School of Mathematics and Statistics Linyi University Shandong Linyi276005 China Shandong Data Open Innovative Application Laboratory Linyi276005 China School of Automation and Electrical Engineering Linyi University Shandong Linyi276005 China School of Electrical & Electronic Engineering The University of Suwon Gyeonggi-do Hwaseong-si18323 Korea Republic of Department of Electronic Engineering Seokyeong University Seoul 02713 Korea Republic of Department of Computer Science The University of Suwon Gyeonggi-do Hwaseong-si18323 Korea Republic of Department of Electrical and Computer Engineering University of Alberta EdmontonAB T6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw 00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Sariyer/Istanbul Turkey

Fuzzy Rule-based Models (FRMs) have attracted significant interest in the field of machine learning owing to their modular architecture, robust design methodologies, and sound interpretability. This study introduces a novel Kernel Contextual Fuzzy Rule Model (KCFRM) designed to cope with regression tasks. A Kernel Contextual Fuzzy Clustering (KCFC) algorithm is proposed for conditional partitioning of the input space. Specifically, we incorporate the Mercer kernel into context fuzzy clustering to enhance the abilities of the model to distinguish, extract, and amplify useful features via nonlinear mapping, thereby generating more suitable information granules. Additionally, we employ an autoencoder's "encoding-decoding" mechanism to extract differences between data patterns and subsequently transform these into KCFC contexts via a conversion function, therefore leading to the creation of high-quality fuzzy sets. In the conclusion portion of fuzzy rules, conventional numerical or linear functions struggle to adequately describe the complex behavior present in local fuzzy regions. To mitigate this, we incorporate a Randomization-based Neural Network (RANN), capable of providing superior approximation capabilities and substantial computational efficiency. RANN overcomes traditional method constraints in representing complex behaviors within the fuzzy region. The inclusion of RANN results in more accurate and efficient conclusions for fuzzy rules. The uniqueness of this study lies in its holistic approach to designing fuzzy models with KCFC and RANN, improving the expressiveness of the rules and enhancing the generalization of the models. KCFRM's performance is assessed using various publicly available machine learning datasets, with experimental results underscoring its effectiveness and performance enhancements. © 2025

关键词： Fuzzy rules

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