Human activity prediction using machine learning in smart homes is an emerging research area with significant potential for enhancing the functionality and efficiency of residential environments. This study explores t...
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Even though FeliusCatus(Cat) is one of the domestic pet animals, the cat human relationship has not gained significance compared to dog-human relationship. The cat involves relationship with human and with same specie...
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In this study,texture features namely entropy,contrast,energy,and homogeneity are extracted from mature and immature coffee beans using image processing,and the values are inputted into MATLAB’s Classification Learne...
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In this study,texture features namely entropy,contrast,energy,and homogeneity are extracted from mature and immature coffee beans using image processing,and the values are inputted into MATLAB’s Classification Learner App for *** the 23 machine-learning algorithms,the best performance was achieved by medium K-nearest neighbor which has 97%accuracy and 0.14574 seconds in *** compared with previous studies that used RGB and HSV color features to differentiate mature and immature coffee beans,it can be concluded that texture features are far superior in distinguishing the two coffee bean groups.
In the present era, online users are confronted with a prevalent challenge posed by phishing attacks, primarily stemming from the proliferation of E-commerce websites. Phishing attack is the illegal crimes that happen...
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The use of machine learning techniques in food categorization has received a lot of interest since it has the potential to transform a variety of industries. Food categorization has developed as a critical application...
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This paper aims to develop a novel robust multi-dialect end-to-end ASR system with beam search threshold pruning. The efficacy of our proposed model is evaluated using word error rate (WER). Our key contributions are:...
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Wu Binghuang shallow acupuncture technique was selected as the sixth batch of intangible heritage items in Fujian Province in 2019, and Wu Binghuang shallow acupuncture technique has good effect on treating insomnia i...
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Wu Binghuang shallow acupuncture technique was selected as the sixth batch of intangible heritage items in Fujian Province in 2019, and Wu Binghuang shallow acupuncture technique has good effect on treating insomnia in clinical trials. The shallow acupuncture technique has three kinds of techniques: " drainage method", " tonic method", and " flat tonic and flat drainage", which can be used for different treatment purposes, and the three techniques have high operational similarity. In the development of the shallow needle instrument using modern electronic technology to simulate the shallow needle technique of Bing-Huang Wu, it is necessary to extract and distinguish the vibration signals of the three modes. To address the problem of difficulty in differentiating Wu’s shallow acupuncture techniques, a feature extraction method based on EMD sample entropy, energy occupation ratio after Pyramid decomposition and CV-SVM is proposed in this paper. The vibration signal is noise reduced by using wavelet noise reduction, firstly, the EMD decomposition is performed on the noise reduced data, the correlation coefficient between individual IMF and the original signal is calculated, the IMF with the correlation coefficient greater than 0.1 is selected as the effective component, the sample entropy of the effective component is calculated, then the Pyramid decomposition of the noise reduced vibration signal is divided into 9 layers, the relative energy of each layer is calculated, and the sample entropy of the effective component and the relative energy of each layer are calculated. The sample entropy of the effective component and the relative energy of each layer are formed into a Govett collection. The CV-SVM is then employed to identify the signal patterns, resulting in an average recognition rate of 76% that possesses engineering application value. The vibration data of Prof. Wu Binghuang’s treatment with shallow needles were analyzed, and the practical application of the p
This study focuses on development of a secure and efficient image cryptosystem optimized for IoT devices. The proposed technique addresses the and resource constraints of IoT devices, it introduces a hybrid encryption...
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Dealing with voltage sags during motor startup is crucial because they can delay power restoration and lead to widespread failures for industrial loads and distribution systems. A novel approach is introduced to inves...
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Changes in the Atmospheric Electric Field Signal(AEFS)are highly correlated with weather changes,especially with thunderstorm ***,little attention has been paid to the ambiguous weather information implicit in AEFS **...
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Changes in the Atmospheric Electric Field Signal(AEFS)are highly correlated with weather changes,especially with thunderstorm ***,little attention has been paid to the ambiguous weather information implicit in AEFS *** this paper,a Fuzzy C-Means(FCM)clustering method is used for the first time to develop an innovative approach to characterize the weather attributes carried by ***,a time series dataset is created in the time domain using AEFS *** AEFS-based weather is evaluated according to the time-series Membership Degree(MD)changes obtained by inputting this dataset into the ***,thunderstorm intensities are reflected by the change in distance from a thunderstorm cloud point charge to an AEF ***,a matching relationship is established between the normalized distance and the thunderstorm dominant MD in the space ***,the rationality and reliability of the proposed method are verified by combining radar charts and expert *** results confirm that this method accurately characterizes the weather attributes and changes in the AEFS,and a negative distance-MD correlation is obtained for the first *** detection of thunderstorm activity by AEF from the perspective of fuzzy set technology provides a meaningful guidance for interpretable thunderstorms.
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