In-field test of electronic devices is becoming increasingly important due to the wide adoption of electronic systems in safety-critical applications. Hence, it is crucial to devise and deploy effective solutions supp...
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In today's world, large volumes of medical data are being continuously generated, but their value is severely undermined by our inability to translate them into knowledge and, ultimately, actions. Data mining tech...
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Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the enti...
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ISBN:
(纸本)9781424434862
Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the entire manufacturing process. The current process of detecting and diagnosing communication faults is mostly manual, cumbersome, and inefficient. Detecting early symptoms of potential problems is very important but automated solutions do not yet exist. Our research goal is to automate the process of detecting and diagnosing the communication faults as well as to prevent problems by detecting early symptoms of potential problems. To achieve our goal, we have first investigated real-world fault cases and summarized control network failures. We have also defined network metrics and their alarm conditions to detect early symptoms for communication failures between process control servers and devices. In particular, we leverage data mining techniques to train the system to learn the rules of network faults in control networks and our testing results show that these rules are very effective. In our earlier work, we presented a design of a process control network monitoring and fault diagnosis system. In this paper, we focus on how the fault detection part of this system can be improved using data mining techniques.
Arithmetic operation's execution time in real-time system is bounded by deadlines. The method commonly used to meet these deadlines is by employing any suitable process-scheduling algorithm, which may contain a po...
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ISBN:
(纸本)0769522033
Arithmetic operation's execution time in real-time system is bounded by deadlines. The method commonly used to meet these deadlines is by employing any suitable process-scheduling algorithm, which may contain a potential weakness. If time needed to operate is longer than its deadline, then the result's quality will be poor. This is mainly caused by the algorithms of the arithmetic operations commonly used nowadays do not choose the most significant data to be processed first. This research tries to design new algorithm and its processing unit that works based on real-time principles, which starts its computation process from the highest valued digit and provides its intermediate-results that can be accessed anytime during the process. Designing tool used in this research is MAX+plus II Baseline 10.2 software. This research accomplishes in showing the performance of the new algorithm and its processing unit, which is better than the performance of the conventional algorithm.
Robot audition, encompassing Sound Source Localization (SSL), Sound Source Separation (SSS), and Automatic Speech Recognition (ASR), enables robots and smart devices to acquire auditory capabilities similar to human h...
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This paper presents a method for optimal point-to-point control of linear discrete-time systems with time-varying non-convex state constraints, as arising for problems of avoiding moving obstacles. While common approa...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.
This work presents a simulation study of an event-based selective control strategy for a raceway reactor. The control system aims are to maintain simultaneously a pH and dissolved oxygen within specific limits. In the...
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Context: the presence of several languages interacting each other within the same project is an almost universal feature in software development. Earlier work shows that this interaction might be source of problems. O...
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In computer vision, texture plays an important role. In this work we propose five human perceptual texture features heuristically extracted. Since a modeling can not be obtained from these features, we use a discrimin...
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