Wavelet transform is a new type of mathematical tool, is the late 80 s developed rapidly emerging disciplines. Wavelet transform has the characteristics of multi-resolution, in the time domain and frequency domain has...
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Wavelet transform is a new type of mathematical tool, is the late 80 s developed rapidly emerging disciplines. Wavelet transform has the characteristics of multi-resolution, in the time domain and frequency domain has the ability to characterize the local characteristics of the signal, suitable for analysis of non-stationary signal, you can gradually observe the signal by the coarse and fine. The theory and method of wavelet analysis are widely used in signal processing, image processing, speech processing, patternrecognition, quantum physics and so on. It is considered a major breakthrough in tools and methods in recent years.
Planning has achieved significant progress in recent years. Among the various approaches to scale up plan synthesis, the use of macro-actions has been widely explored. As a first stage towards the development of a sol...
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ISBN:
(纸本)9781467391870
Planning has achieved significant progress in recent years. Among the various approaches to scale up plan synthesis, the use of macro-actions has been widely explored. As a first stage towards the development of a solution to learn on-line macro-actions, we propose an algorithm to identify useful macroactions based on data mining techniques. The integration in the planning search of these learned macro-actions shows significant improvements over six classical planning benchmarks.
We study hierarchies of partitions in a topological space where the interiors of the classes and their frontiers are simultaneously represented. In both continuous and discrete cases our approach rests on tessellation...
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The local feature descriptors have received more attention due to the effectiveness in the field of face recognition. The existing LTrP method works based on the first order derivatives along horizontal and vertical d...
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In structural health monitoring, using piezoelectric transducers to generate high frequency elastic waves like Lamb waves in the structures is eminent. In general, piezoelectric transducers are assumed to be perfectly...
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In this paper we applied an associative memory for the patternrecognition of mtDNA that can be useful to identify bodies and human remains. In particular, we used both morphological hetroassociative memories: max and...
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In this paper we applied an associative memory for the patternrecognition of mtDNA that can be useful to identify bodies and human remains. In particular, we used both morphological hetroassociative memories: max and min. We process the problem of patternrecognition as a classification task. Our proposal showed a correct recall, we obtained the 100% of recalling of all the learned patterns. We simulated a corrupted sample of mtDNA by adding noise of two types: additive and subtractive. The memory showed a correct recall when we applied less or equal than 55% of both types of noise.
The proceedings contain 30 papers. The topics discussed include: defect automatic detection for tire x-ray images using inverse transformation of principal component residual;co-channel interference mitigation on capa...
ISBN:
(纸本)9781467391870
The proceedings contain 30 papers. The topics discussed include: defect automatic detection for tire x-ray images using inverse transformation of principal component residual;co-channel interference mitigation on capacity and coverage in cellular systems;dyadic lifting wavelet based signal detection;multi-view matching points extraction algorithm based on union find sets;revocation basis and proofs access control for cloud storage multi-authority systems;a detection method for network security based on the combination of support vector machine;issues on critical objects in mining algorithms;motion background modeling based on context-encoder;application of intelligence of swarm in architecture;features selection for building an early diagnosis machine learning model for Parkinson's disease;latent fingerprint wavelet transform image enhancement technique for optical coherence tomography;synchronizing switching times of vacuum interrupters for medium voltage switchboards' techniques;performance analysis of the method for social search of information in university information systems;and modeling and data processing of information systems.
Detailed energy consumption information of household appliance is meaningful for the demand side management (DSM) and home energy conservation. In this paper, a novel non-intrusive load monitoring (NILM) method is pro...
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ISBN:
(纸本)9781509025350
Detailed energy consumption information of household appliance is meaningful for the demand side management (DSM) and home energy conservation. In this paper, a novel non-intrusive load monitoring (NILM) method is proposed for residential energy management systems (REMS). Unlike existing NILM techniques, this method works effectively with very few smart meter measurement parameters obtained at a low sampling rate. A neural network patternrecognition (NNPR) model is utilized in the NILM system for the first time. The proposed method can detect finite-state appliances by changing the number of output neurons. Experimental results indicate that the proposed method provides a very high identification accuracy. Moreover, this method can estimate each appliance detail energy consumption effectively, which is ideal for scheduling the household appliances and participation in the demand respond (DR).
Different companies in the same line of business can have similar computer systems with built-in diagnostic routines, and the ability to regularly send error-driven or event-driven environmental diagnostic messages in...
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ISBN:
(纸本)9781509009466
Different companies in the same line of business can have similar computer systems with built-in diagnostic routines, and the ability to regularly send error-driven or event-driven environmental diagnostic messages in XML back to the system manufacturer. The system manufacturer typically uses these to determine faults in the system. The outcome of this troubleshooting can also assist end-users and clients in solving problems, and provide the production team valuable information that can be used to improve future versions of the product. A Company merger could lead to the same team processing diagnostic messages from similar but different products, in different syntax, leading to complexity explosion of specifying and maintaining diagnostic message pattern specification and recognition for many different syntaxes. This research reduces the above complexity by extending ISO Schematron, the industry standard language for XML semantic constraints specification and validation, with conceptual rules. Pace University Knowledge Graphs are used to describe the concepts or classes relevant to the diagnostic messages of a system, and the new conceptual Schematron rules are introduced to specify diagnostic patterns on these concepts. Such conceptual diagnostic patterns are then converted automatically into concrete Schematron rules based on the syntax of the specific diagnostic messages. A complete prototype was designed and implemented to validate this new methodology.
Measurement results of antenna radiation patterns, which are not carried out in an anechoic chamber, are influenced by multipath effects and Radio Frequency Interference (RFI) from other systems. In this work, an auto...
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ISBN:
(纸本)9781509025763
Measurement results of antenna radiation patterns, which are not carried out in an anechoic chamber, are influenced by multipath effects and Radio Frequency Interference (RFI) from other systems. In this work, an automated antenna measurement system with software gating has been developed. The software gating implements a patternrecognition algorithm for rejecting both multipath and RFI to improve the measurement results. This technique is extensively used in image recognition systems and it will be shown that it can be used successfully to eliminate multipath and RFI. By fixing the position of the Antenna Under Test (AUT) and changing the source position relative to the AUT, the algorithm can easily extract the antenna radiation pattern from the unwanted interference. Measurement results before and after applying the gating algorithms have been compared.
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