Recognition Of Psoriasis Features Via Daubechies D8 Wavelet Technique

Hashim, Hadzli; Wahid, Nurbaiti; Sulaiman, Mohd Suhaimi; Hassan, N.S.

doi:10.21307/ijssis-2017-562

Cited by 4 publications

(4 citation statements)

References 11 publications

(9 reference statements)

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“…Prior to testing the data with a paired sample t-test, an error bar plot was then used in order to differentiate between both data sets. An error bar plot was used to provide concrete evidence that the data could be discriminated against each other as shown in Figures 8 and 9 [24]. The error bar plots for each dataset must not overlap in order to demonstrate that the dataset is discriminating against each other [25].…”

Section: Resultsmentioning

confidence: 99%

Variance of total dissolved solids and electrical conductivity for water quality in Sabak Bernam

Sulaiman

Rahman

Adam

2023

IJECE

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<span lang="EN-US">Water pollution is one of the most serious environmental problems in Malaysia. The most notable occurrence of pollution happened in Selangor. Currently, there are various water quality monitoring (WQM) methods to observe the quality of water. One of the methods used is the internet of things (IoT) for wireless sensor network technology to obtain real-time data measurement. In this study, the developed WQM system is equipped with a sensor that can measure total dissolved solid (TDS) and electrical conductivity (EC). Arduino UNO was used in this system as a microcontroller to interact with the sensor. The Wi-Fi module, ESP8266, was used to transfer the collected data to ThingSpeak, which acts as a cloud to store all the data. The results showed that both sample populations can be discriminated since the p-value is greater than 0.05 in the normality test, while in the paired sample t-test, the p-value is less than 0.05. In conclusion, this research provides an easier way to monitor water quality by taking up less time at less cost, as well as being reliable in giving real-time data reading.</span>

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Section: Resultsmentioning

confidence: 99%

Variance of total dissolved solids and electrical conductivity for water quality in Sabak Bernam

Sulaiman

Rahman

Adam

2023

IJECE

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“…The Wavelet Transform (WT) has been proven very useful in many fields due to the ability of wavelets to resolve localized signal content in both scale and space [1][2][3][4][5]. The conventional method of implementing WT is by means of digital signal processing systems (DSP) with the required A/D or D/A converters.…”

Section: Introductionmentioning

confidence: 99%

“…Some experiments were conducted upon constructing three sorts of optimal analog wavelet bases with various orders. The experimental result data of Gauss-like analog wavelet, Morlet-like analog wavelet, and Marr-like analog wavelet are given in Tab [4][5][6].…”

mentioning

confidence: 99%

Optimal Analog Wavelet Bases Construction Using Hybrid Optimization Algorithm

Sun

2016

International Journal on Smart Sensing and Intelligent Systems

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An approach for the construction of optimal analog wavelet bases is presented. First, the definition of an analog wavelet is given. Based on the definition and the least-squares error criterion, a general framework for designing optimal analog wavelet bases is established, which is one of difficult nonlinear constrained optimization problems. Then, to solve this problem, a hybrid algorithm by combining chaotic map particle swarm optimization (CPSO) with local sequential quadratic programming (SQP) is proposed. CPSO is an improved PSO in which the saw tooth chaotic map is used to raise its global search ability. CPSO is a global optimizer to search the estimates of the global solution, while the SQP is employed for the local search and refining the estimates. Benefiting from good global search ability of CPSO and powerful local search ability of SQP, a high-precision global optimum in this problem can be gained. Finally, a series of optimal analog wavelet bases are constructed using the hybrid algorithm. The proposed method is tested for various wavelet bases and the improved performance is compared with previous works.

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“…WT obtains the representation of a signal in terms of a finite length or fast decaying oscillating waveform, which is scaled and translated to match the input signal. In this way, it is possible to split local and global dynamics for a signal by a multiresolution analysis (MRA) in a wavelet domain to solve the shortcoming of FT. WT based methods have gained wider application of feature extraction for ultrasonic flaw signals [7][8][9][10]. Not all features extracted from ultrasonic signals for a given classification problem need to be used due to their redundancy, therefore a further process is needed for redundancy reduction by retaining only small number of informative features.…”

Section: Introductionmentioning

confidence: 99%

Empirical Mode Decomposition And Rough Set Attribute Reduction For Ultrasonic Flaw Signal Classification

Wang

2014

International Journal on Smart Sensing and Intelligent Systems

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Feature extraction and selection are the most important techniques for ultrasonic flaw signal classification. In this study, empirical mode decomposition (EMD) is first used to obtain the intrinsic mode functions (IMFs) of original ultrasonic signals. Such IMFs and traditional time as well as frequency domain based statistical parameters are extracted as the initial features of flaw signal. After that, spectral clustering method is used for feature value discretization so that rough set attribute reduction (RSAR) can be applied to implement feature selection. Finally, the selected features are taken as input of artificial neural networks (ANNs) to train the decision classifier for flaw identification. Experimental results show that compared to conventional wavelet transform based schemes and principal components analysis, EMD combined with RSAR can improve the performance of feature extraction and selection. Using such hybrid scheme can effectively classify different ultrasonic flaw signals with high accuracy and low training elapsed time.

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Recognition Of Psoriasis Features Via Daubechies D8 Wavelet Technique

Cited by 4 publications

References 11 publications

Variance of total dissolved solids and electrical conductivity for water quality in Sabak Bernam

Variance of total dissolved solids and electrical conductivity for water quality in Sabak Bernam

Optimal Analog Wavelet Bases Construction Using Hybrid Optimization Algorithm

Empirical Mode Decomposition And Rough Set Attribute Reduction For Ultrasonic Flaw Signal Classification

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