Power-performance enhancement of two-dimensional RNS-based DWT image processor using static voltage scaling

Safari, Amin; Niras, C. V.; Kong, Yinan

doi:10.1016/j.vlsi.2015.12.006

Cited by 12 publications

(6 citation statements)

References 29 publications

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“…(3) K1 and K2 are linear superposition coefficients. The low frequency information of the original image is mainly concentrated in the subband, and the value of DC coefficient may be much larger than that of AC coefficient [21][22]. CCSDS algorithm suggests that K1 and K2 should be quantized first, and then rice differential coding should be used to complete the preprocessing process.…”

Section: B Mathematical Modeling Optimization Methodsmentioning

confidence: 99%

Retracted: Emergency Decision Support System for Container Logistics Safety Based on Image Processor

et al. 2024

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Container multimodal transport is the main transport mode and development trend of international logistics. Information system plays an important role in the development of multimodal transport and is an important part of regional multimodal transport network layout. Due to the influence of global economic integration and borderless logistics, the improvement of logistics efficiency depends more on information management technology. Based on the research results at home and abroad, this paper introduces the image processing system, and establishes the research model of container multimodal transport logistics security emergency decision support system based on image processor by using mathematical modeling optimization method, summary and induction method, and the combination of qualitative analysis and quantitative analysis method Based on the theory, early warning management method and emergency decision system, an emergency decision support system for container multimodal transportation logistics safety based on image processor is established. This study is prospective. The results show that the overall efficiency is improved by 20% and the overall efficiency is higher after using the method in this paper, which has certain practical value.

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Section: B Mathematical Modeling Optimization Methodsmentioning

confidence: 99%

Retracted: Emergency Decision Support System for Container Logistics Safety Based on Image Processor

et al. 2024

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“…Discrete wavelet transform (DWT), in extract, refers to adjustment of linear works data as vector length becomes equal to the numerical vector of diverse length, since the power is two integers [17]. In this document, DWT is utilized to extract the characteristics and extracted characteristics are formed as a set of data to detect and classify failure due to frequencies using the GBDTI2HO technique.…”

Section: Feature Extraction Using Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Bearing/Incipient/Open Phase Fault Detection and Diagnosis of Multi-Phase Induction Motor Drives Equipped By GBDTI2HO Technique

Annamalai¹,

Sivakumaran²

2021

emitter

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In this paper, a hybrid system is performed with fault detection and diagnosis on multi-phase induction motor (IM). The proposed method is hybrid of integrated Harris Hawk optimization (IHHO) and gradient boosting decision trees (GBDT) thus called the GBDTI2HO method. Here, additional operators are included in this paper to improve HHO’s search behaviour namely crossover and mutation. Distorted waveforms are generated by different frequency patterns to indicate the time domain frequency as an assessment of failure. For this signal representation, the discrete wavelet transformation (DWT) is suggested. It extracts the characteristics and forwards them to IHHO technique to form the possible data sets. After the generation of the data set, GBDT classifies the ways of failure reached as winding of stator in multi-phase IM. The implementation of the proposed system is compared with existing systems, such as ANN, S-Transform and GBDT. The proposed method is executed on MATLAB/Simulink work platform to demonstrate the successfulness of proposed system, statistical measures are determined, as precision, sensitivity and specificity, mean median and standard deviation. For demonstrating the successfulness of proposed system, statistical measures are determined as precision, sensitivity, specificity, mean median as well as standard deviation. In 50 trails the proposed method, 0.98 for accuracy, 0.96 for specificity, 1.60 for recall as well as 0.97 for precision. In 100 trail the proposed method, 0.96 for accuracy, 0.93 for specificity, 0.87 for recall as well as 0.99 for precision.

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“…The discrete wavelet transform (DWT), signifies a linear alteration which functions on a data vector whose length is an integer power of two, transforming it into a numerically diverse vector of identical length. For successive evaluation of each module with resolution corresponding to its scale, it is an amazing device that classifies data into various frequency segments [17,18]. In this paper, for creating the datasets for classifying the faults according to their frequencies, DWT is used.…”

Section: Feature Extraction Using Discrete Wavelet Transformmentioning

confidence: 99%

DWT with Enhanced ANN Technique for Detecting and Classifying the Faults of Synchronous Generator

Vidyasagar¹,

Tulasi²,

Sankara³

2016

IJIES

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In the paper, a hybrid technique based fault detector algorithm for synchronous generator is proposed. The hybrid technique is the combination of Artificial Neural Network (ANN) and Gravitational Search Algorithm (GSA). The GSA is used to train the ANN and improve the performance of ANN. Initially, the synchronous generator is analyzed in the normal condition. After that, the fault is created in the synchronous generator and the system behaviors are monitored and signals are measured which can be seen as distorted waveforms. These distorted waveforms are composed of different frequency components and which are needed to be represented in timefrequency domain for fault analysis. For this representation of signal, discrete wavelet transform (DWT) is presented. It extracts the features and forms the datasets which are forwarded to ANN classifier for classifying the type of fault occurred in the stator winding of the synchronous generator. In order to evaluate the effectiveness of the proposed method, the internal faults are analyzed. The proposed technique is implemented in MATLAB/simulink platform and this is validated using statistical measures such as accuracy, sensitivity & specificity. The proposed method is compared with the existing techniques DWT-ANN with GA and DWT-ANN methods.

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Power-performance enhancement of two-dimensional RNS-based DWT image processor using static voltage scaling

Cited by 12 publications

References 29 publications

Retracted: Emergency Decision Support System for Container Logistics Safety Based on Image Processor

Retracted: Emergency Decision Support System for Container Logistics Safety Based on Image Processor

Bearing/Incipient/Open Phase Fault Detection and Diagnosis of Multi-Phase Induction Motor Drives Equipped By GBDTI2HO Technique

DWT with Enhanced ANN Technique for Detecting and Classifying the Faults of Synchronous Generator

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