In Distributed control Systems (DCS) the distribution of sensor data needs to be optimized in order to reduce the client process redundancy, i.e.: same sensor data processing in different clients. This paper presents ...
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ISBN:
(纸本)9781450336314
In Distributed control Systems (DCS) the distribution of sensor data needs to be optimized in order to reduce the client process redundancy, i.e.: same sensor data processing in different clients. This paper presents an implementation of Embedded Networked Sensors as Smart Resources that allows to access to high-level information abstracting the user from low level mechanisms. The distributed services provided by Smart Resources implement selfaware adaptation mechanisms in order to suit the performance to the context. Information integrity must be also ensured during this adaptation. The Smart Resource implementation is based on a RGBD sensor. Through a set of experiments is evaluated the performance of the reconfiguration and adaptation mechanisms and detailed the influence of the data integrity according to the provided service.
In this paper, a two-stage algorithm for vector quantization will be proposed based on selforganizing map (SOM) neural network. Firstly, a conventional self-organizing map will be modified to deal with dead codebooks ...
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Soil-available potassium content is essential for agricultural crop management. The electrochemical measurement method exhibits advantages of high speed, low cost, and simple operation. However, it encounters challeng...
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This article describes a three-channel encoding of nucleotide sequences, and proper formulas for filtering and downsampling such encoded sequences for multi-scale signal analysis. With proper interpolation, the encode...
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ISBN:
(纸本)9789897580888
This article describes a three-channel encoding of nucleotide sequences, and proper formulas for filtering and downsampling such encoded sequences for multi-scale signal analysis. With proper interpolation, the encoded sequences can be visualized as curves in three-dimensional space. The filtering uses Gaussian-like smoothing kernels, chosen so that all levels of the multi-scale pyramid (except the original curve) are practically free from aliasing artifacts and have the same degree of smoothing. With these precautions, the overall shape of the space curve is robust under small changes in the DNA sequence, such as single-point mutations, insertions, deletions, and shifts.
The authors propose a novel reinforcement learning(RL)framework,where agent behaviour is governed by traditional control *** integrated approach,called time-in-action RL,enables RL to be applicable to many real-world ...
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The authors propose a novel reinforcement learning(RL)framework,where agent behaviour is governed by traditional control *** integrated approach,called time-in-action RL,enables RL to be applicable to many real-world systems,where underlying dynamics are known in their control theoretical *** key insight to facilitate this integration is to model the explicit time function,mapping the state-action pair to the time accomplishing the action by its underlying *** their framework,they describe an action by its value(action value),and the time that it takes to perform(action time).An action-value results from the policy of RL regarding a *** time is estimated by an explicit time model learnt from the measured activities of the underlying *** value network is then trained with embedded time model to predict action *** approach is tested using a variant of Atari Pong and proved to be convergent.
Vacuum pan crystallization is a process that is very difficult to control by classical means. This paper presents a method of using a rule-based expert system for the control of such a process. The structure of the ex...
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Vacuum pan crystallization is a process that is very difficult to control by classical means. This paper presents a method of using a rule-based expert system for the control of such a process. The structure of the expert controller for adjusting the characteristic conductivity is shown to consist of a diagnostic expert system and a discrete dynamic model that is used for conversion of semantic results into numeric output values. The expert controller was implemented in the sugar factory in Lovosice in 1993.< >
POWERED by the rapid development of Internet,the penetration of the Internet of Things,the emergence of big data,and the rise of social media,more and more complex systems are exhibiting the characteristics of social,...
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POWERED by the rapid development of Internet,the penetration of the Internet of Things,the emergence of big data,and the rise of social media,more and more complex systems are exhibiting the characteristics of social,physical,and information *** systems are known as cyber-physicalsocial systems(CPSS)[1],[2].These CPSS face unprecedented challenges in design,analysis,management,control and integration due to their involvement with human and social factors[3],[4].To cope with this challenge,there are two main approaches to CPSS research.
Nine-degrees-of-freedom (9-DoF) object pose and size estimation is crucial for enabling augmented reality and robotic manipulation. Category-level methods have received extensive research attention due to their potent...
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The recent developments in Eastern Europe have allowed Western countries to influence the development of engineering in the Ukraine. This paper deals with the Department of Information computing Systems and control in...
The recent developments in Eastern Europe have allowed Western countries to influence the development of engineering in the Ukraine. This paper deals with the Department of Information computing Systems and control in the institute of National Economy, Ternopol. Their course structure is discussed along with plans for the future.
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