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Near Infrared (NIR) spectroscopy combined with chemometrics technique has become a strongest tool for qualitative as well as quantitative assessment in food industry. In this paper, NIR spectroscopy technique is used to discriminate different turmeric brands available at the local market along with a homemade turmeric powder sample. NIR spectroscopic data of turmeric were subjected to different data...
This study investigated the effect of tactile sensation on the fingertip center of pressure (COP) signals when the thumb and index finger interact with an object for stable precision grip. Thirty healthy subjects participated in the experiment. The tactile sensitivity was modulated by wrapping up the distal pads of the thumb and index finger with transparent polyethylene films. Subjects were instructed...
Power system load forecasting is the basis of power system planning and operation, in order to improve the accuracy of power system load forecasting and ensure the stable operation of power system, a number of related indices must be taken into consideration in the research of power system load forecasting. The tradition principal component analysis is always used to process these indices. In allusion...
Recently, low-rank representation (LRR) based methods have been used for hyperspectral image (HSI) denoising, which can simultaneously remove different types of noise: Gaussian noise, impulse noise, dead lines, and so on. However, the LRR based method does not make full use of the spatial information in HSI. In this paper, we integrate the superpixel segmentation (SS) into the LRR, and propose a novel...
A novel method for defining an index based on multi-level clustering of 40-Hz auditory steady state response is presented in this paper. The index is a measure of depth of anaesthesia which can help monitoring depth of anaesthesia more closely and accurately. Multi-level expectation maximization (EM) is used for clustering the recorded 40-Hz auditory steady state response signals recorded from human...
Registration of histopathology volumes to Magnetic Resonance Images(MRI) is a crucial step for finding correlations in Prostate Cancer (PCa) and assessing tumor agressivity. This paper proposes a two-stage framework aimed at registering both modalities. Firstly, Speeded-Up Robust Features (SURF) algorithm and a context-based search is used to automatically determine slice correspondences between MRI...
In view of the shortages of Price forecast for power device, a new forecast model GPCR was proposed in this paper. By analyzing the main problems in the current procurement of Power Grid Corp, this paper uses grey relational analysis (GRA) and principal component regression (PCR) to forecast the price of power device. In the experiments, we prove that the proposed method is effective, and show the...
Hand gesture recognition from forearm surface electromyography (sEMG) is an active research field in the development of motor prosthesis. Studies have shown that classification accuracy and efficiency is highly dependent on the features extracted from the EMG. In this paper, we show that EMG spectrograms are a particularly effective feature for discriminating multiple classes of hand gesture when...
Short, transient radio-frequency interference (RFI) events could threaten the quality of astronomical observations made by new and planned radio telescopes such as MeerKAT, the SKA and HERA in the radio quiet reserve in South Africa. Because they are so short, often of the order of microseconds long, these events are difficult to detect and identify in the time-frequency plots typically produced by...
The microgrid reliability assessment is gaining notorious attention as distributed generation systems are being increasingly installed. The conventional approach to perform this analysis is by means of the Monte Carlo method which may lead to long-lasting simulations when elaborated models are considered. To reduce the overall simulation time, this paper combines a detailed analytical microgrid modeling...
The data mining systems solve the problem of handling Earth Observation archives counting on a feature vectors based description of the data. Increasing the dimensionality of the feature vectors would offer an effective perspective of the dataset's content. The modern systems provide visual exploration of data projecting their high-dimensional feature space in a 3-D space. The dimensionality reduction...
Thresholding on coherence is a common practice for identifying the surface scatterers that are less affected by decorrelation noise during post-processing and visualisation of the results from multi-temporal InSAR techniques. Simple selection of the points with coherence greater than a specific value is, however, challenged by the presence of spatial dependence among observations. If the discrepancies...
Long-term vegetation monitoring is important for the assessment of the impacts of mining and reclamation activities in an area like the Antaibao, where extensive and rapid opencast mining occur continuously. Accurate information of vegetation fraction is important for assessing how mining activities affect the ecosystem in mining areas. A remote sensing method based on vegetation cover monitoring...
The increase of urban impervious surface has significant influence on the urban ecological environment, also contributes to urban waterlogging and urban heat island (UHI). Therefore, the remote sensing extraction of urban impervious surface becomes a hotspot. The widely used sub-pixel approach - Linear Spectral Mixture Analysis (LSMA) estimates the impervious surface by adding the high albedo (the...
We present a new fault detection index, based on Multi-way Principal Component Analysis, which requires no selection of principal and residual spaces. This detection index is called Gaussian Time Error, since a Gaussian model is learned at each measurement instant. This index is used on real data from semiconductor processes to detect faults, providing a better detection than Square Prediction Error...
At present, electric power industry is in a period of rapid development and the assessment of regional power development captures growing attention. Through the evaluation process, we can deepen the understandings of regional development ability and puts forward suggestions for the further development. However, the understanding of regional power development is still at the perceptual level now and...
In this paper, age estimation models introduced with automatic preprocessing of the T-1 weighted images, dimension reduction via principal component analysis, training of a multiple regression model, and then estimating the age of the subjects from the test samples. The regression model is automatically trained from a diverse set of 80 adult subjects (age 60–92 years) exhibiting significant variation...
This paper presents a comparison between the diagnosis results using tow new interval methods to detect and isolate thrusters faults of an autonomous spacecraft involved in the rendez-vous phase of the Mars Sample Return (MSR) mission. As an extension of the classical Principal Component Analysis (PCA) method to interval data, the first diagnosis approach we proposed is based on the Vertices Principal...
This paper presents a fault diagnosis system for a sophisticated automotive embedded system. The latter is a Smart Distance Keeping system (SDK) which is an advanced adaptative cruise control implemented in a truck. The proposed diagnosis process is applied in a decentralized manner. To provide local diagnosis to one of the SDK electronic control unit, the approach based on the vertices principal...
With the advent of electronic nose and electronic tongue, instrumental quality estimation of black tea has become possible. Electronic nose detects tea samples on the basis of aroma and taste can be detected by electronic tongue. But to develop human like quality judgment system, both the sensor responses must be considered. The objective of this work is to find optimized dataset by combining the...
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