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- classification
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- Brno University of Technology
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Dataset of single Mycobacterium tuberculosis bacteria cells with different antibiotic susceptibility obtained by Raman spectroscopy
摘要： This data article contains Raman experimental data, obtained with Horiba Jobin-Yvon LabRam HR800 spectrometer (Japan), which can be used for rapid identification of Mycobacterium tuberculosis (MbT) bacteria (Beijing clade) in vitro. Data present analyzed Raman spectra of bacterial cells with various drug resistances obtained from pulmonary and extra pulmonary samples. Data can provide information about characteristic maxima of different structures in biological cell.
关键词： sensitive drug (SD) strains,multidrug resistance (MDR) strains,spectral data,Mycobacterium tuberculosis,Raman spectroscopy
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Hyperspectral Image Refined Plant Classification By Graph Based Composite Kernel
摘要： Recently, the popularity of using hyperspectral image to study and monitor plant characteristics and conditions has been increased. The use of hyperspectral image improves the breeding process and increases profits. In the case of hyper-spectral data with high spectral resolution characteristics suitable for intraclass classification, this paper focuses on the application of hyperspectral image analysis in distin-guishing among different plant species. Plant intraclass clas-sification is sophisticated due to its small spectral differ-ences. Hence, a refined hyperspectral image classification method for plant, referred as SI-GCK which uses Spectral Index (SI) to represent plant spectral, and take advantage of semi-supervised graph-based composite kernel (GCK) method to combine spectral information and spatial location of pixels for classification is presented in this paper. As a comparison, sequential floating forward selection (SFFS) is used to select spectral bands for SVM learning. Its accuracy of plant classification is nearly equal to result by means of SI, and the proposed method in this paper is better than afore-mentioned.
关键词： spectral index,plant classification,graph-based composite kernel,hyperspectral image
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA) - Singapore (2018.7.16-2018.7.19)] 2018 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA) - Characterization of Bandgap Engineering on Operative Transistor Devices by Spectral Photon Emission
摘要： In modern IC technologies, it is very common to use germanium enriched silicon in order to increase field effect transistor (FET) channel carrier mobility for high performance. The germanium content modifies the effective semiconductor band gap EG. Thus, the bandgap energy EG is an important technology performance parameter. EG can be obtained in an LED-like operation of electronic devices, requiring forward biased p-n junctions. P-n junctions in FETs are source or drain to body diodes, usually grounded or reversely biased. This investigation applies a bias to the body that can trigger parasitic forward operation of the source/drain to body p-n junction in any FET. Spectral photon emission (SPE) is taken here as non-destructive in operative method to characterize engineered bandgaps transistor devices, while the device remains fully functional. Proving this technique with the nominal silicon bandgap on an (unstrained) 120nm technology FET, the characterization capability for bandgap engineering is successfully demonstrated using SiGe:C HBT. In IC technology, Ge enriched silicon is recently often used to increase channel carrier mobility. As a next step, 14/16nm p-type FinFET devices have been investigated by applying a bias voltage to the body and thereby activating one of the body/diffusion p-n junctions in forward bias. By measuring the spectral distribution of emission intensity through the backside of the operating device with an InGaAs detector, EG of the engineered bandgap can be determined in the FinFETs as well, in case of the investigated p-type FinFETs to 0.84 eV. This opens a new path for contactless fault isolation by quantitative local determination of bandgap engineering.
关键词： Bandgap engineering,body diode,heterojunction bipolar transistor,body bias voltage,contactless fault isolation,parasitic operation,FinFET,germanium,MOSFET,p-n junction,bandgap characterization,spectral photon emission,SiGe,HBT
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) - Aristi Village, Zagorochoria, Greece (2018.6.10-2018.6.12)] 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) - Video Deconfounding: Hearing-Aid Inspired Video Enhancement
摘要： We introduce a set of techniques for selective amplification of video subjects that are largely hidden from view by confounding light paths, such as daylight reflections from tinted automobile windows, reflections from windows and screens when imaging outdoor scenes at night from indoors, and reflected light from fluid surfaces. In these situations, the subject of interest is represented by only a small fraction of the light being captured at each pixel. We show that enhancement approaches commonly employed for selective amplification of speech in audio applications can serve as the basis for selective amplification of hidden objects in video streams.
关键词： Video Deconfounding,audio spectral subtraction,confounding light paths,selective amplification,video enhancement
更新于2025-09-04 15:30:14
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Role of Multiphoton Ionization in the Short-Wavelength Broadening of the Spectrum of a Light Bullet in the Middle Infrared Range
摘要： The short-wavelength cutoff of the anti-Stokes wing of the supercontinuum in the spectrum of a light bullet at filamentation of femtosecond radiation at a wavelength tunable in a wide range of the middle infrared range in fused silica and fluorides has been studied for the first time. A physical model for the formation of the spectrum of the light bullet has been proposed on the basis of the spectral broadening caused by the phase self-modulation of the light field on the trailing edge of the light bullet at the generation of a plasma in the process of multiphoton ionization. Within this model, a function has been obtained to determine the wavelength shift of the short-wavelength cutoff as a function of the multiphoton order. This function is in agreement with experimental results.
关键词： supercontinuum,light bullet,spectral broadening,multiphoton ionization,middle infrared range
更新于2025-09-04 15:30:14
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Hyperspectral inversion of heavy metal content in reclaimed soil from a mining wasteland based on different spectral transformation and modeling methods
摘要： Conventional methods for investigating heavy metal contamination in soil are time consuming and expensive. We explored reflectance spectroscopy as an alternative method for assessing heavy metals. Four spectral transformation methods, first-order differential (FDR), second-order differential (SDR), continuum removal (CR) and continuous wavelet transform (CWT), are used for the original spectral data. Spectral preprocessing effectively eliminated the noise and baseline drifting and also highlighted the locations of the spectral feature bands. Partial least squares regression (PLSR) and radial basis function neural network (RBF) were used to study the hyperspectral inversion of four heavy metals (Cr, As, Ni, Cd). The inversion models of four heavy metals were established in the bands with the highest correlation coefficient. The inversion effects were evaluated by the coefficient of determination (R2), root mean square error (RMSE) and residual predictive deviation (RPD) indexes. The R values of the correlation coefficient were significantly improved after smoothing and spectral transformation compared to the original waveband. The method combining continuous wavelet transform (CWT) with radial basis function neural network (RBF) had the best inversion effect on the four heavy metals. When compared to partial least squares regression (PLSR), the RMSE values were reduced by approximately 2. The CWT-RBF method can be used as a means of inversion of heavy metals in mining wasteland reclaimed land.
关键词： Continuous Wavelet Transform,Heavy metal,Spectral analysis,Radial Basis Function Neural Network,Reclamation soil
更新于2025-09-04 15:30:14
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Forensic Discrimination Potential of Video Spectral Comparator and Micro Spectrophotometer in Analyzing Question Document and Fraud Cases in India
摘要： The aim of the study was to evaluate the discriminating power of non-destructive methods, including optical methods likes the Video spectral comparator method (VSC) and Micro spectrophotometer (MSP) used to differentiate ballpoint pen ink which is commonly used in question document and fraud cases in India. Documents have been investigated to determine the feasibility of utilizing the Video spectral comparator method (VSC) and Micro spectrophotometer (MSP) for the differentiation and comparison of inks on paper. The work focused on how to develop the most effective procedure to ensure quality, when Micro spectrophotometer is used to differentiate writing materials by characteristics color scan of each ink. Six different commercially available blue ballpoint pen inks produced from most popular pens in Indian Market which were used as research material. We have studied most selling pens in Indian market (Reynolds, Parker, and Lexis 2 types, Cello griper and local made pen) for overwriting, alternation and modification of ballpoint pen ink on documents. These pens are generally used on questioned document in forensic discrimination cases and these questioned documents cases received by forensic science laboratories regularly. In forensic discrimination cases generally initial writing is overwritten by using other ink and to identify which ink was used to overwrite is challenging task in field of forensic science. The present study highlighted that the Video Spectral Comparator method (VSC) and Micro spectrophotometer (MSP) can be used routinely in such types of document cases and it has demonstrated to be an excellent analytical method for the forensic analysis of inks on a questioned document.
关键词： Overwriting of inks,Question document,Video spectral comparator,Micro spectrophotometer
更新于2025-09-04 15:30:14
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New Source of the Red Shift of Highly-Excited Hydrogenic Spectral Lines in Astrophysical and Laboratory Plasmas
摘要： High-n hydrogen spectral lines (SL), n=13–17, studied in astrophysical and laboratory observations at the electron density Ne ~ 1013 cm-3 by Bengtson and Chester in 1972 (ApJ, p. 178, 565) exhibited red shifts by orders of magnitude greater than the theoretical shifts known up to now. Specifically, Bengtson and Chester presented the shifts of these SL observed in the spectra from Sirius and in the spectra from a radiofrequency discharge plasma in the laboratory: both types of the observations yielded red shifts that exceeded the corresponding theoretical shifts by orders of magnitude. In the present paper we introduce an additional source of the shift of high-n hydrogenic SL. We show that for high-n hydrogen SL it makes the primary contribution to the total red shift. We demonstrate that for the conditions of the astrophysical and laboratory observations from paper by Bengtson and Chester, this additional red shift is by orders of magnitude greater than the theoretical shifts known up to now. Finally we show that the allowance for this additional red shift removes the existed huge discrepancy between the observed and theoretical shifts of those that of high-n hydrogen SL.
关键词： Measurements,Shifts of hydrogen spectral lines,Astrophysical plasmas,Laboratory plasmas,Red shift
更新于2025-09-04 15:30:14
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Clusters partition and zonal voltage regulation for distribution networks with high penetration of PVs
摘要： Integration of distributed generation (DG) at large scale with high penetration challenges the radial structure of the traditional distribution networks and the effectiveness of the conventional voltage regulation methods. In this study, the clusters partitioning and voltage regulation are researched. The modified electrical distance is introduced. An effective method, based on spectral clustering algorithm, is proposed for the partitioning of the DG network via the judgement of critical load buses. Two-stage voltage regulation optimisation is realised in each sub-community. The optimal objects are the minimal voltage fluctuation and the network loss of the distributed network. The independent variables are reactive-power absorption and active-power curtailment for each controllable photovoltaic node. An advanced particle swarm optimisation algorithm is applied to the voltage regulation for the sub-communities. After a case study of the IEEE 33-bus system, a regional distribution network in Anhui province of China is analysed. Simulation results indicate that the node voltages are stabilised with the improvement of power quality employing the proposed clusters partitioning method and zonal power control scheme.
关键词： spectral clustering,particle swarm optimisation,voltage regulation,distributed generation,photovoltaic
更新于2025-09-04 15:30:14
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A Hyper spectral Images Classification Method Based on Maximum Scatter Discriminant Analysis
摘要： To overcome “small sample size problem” problem faced by some hyper spectral classification methods, the Maximum Scatter Discriminant criterion is used to analyzed hyperspectral data. Maximum Scatter Discriminant analysis searches for the project axes by maximizing the difference of between-class scatter and within-class scatter matrices, which avoid to calculate the inverse of matrices. Experiment results on Indian Pines HSI data set show that the proposed method outperforms the other methods in terms of recognition accuracy. The proposed method is an effective and feasible method for hyper pectral data classification.
关键词： Hyper spectral Images,Classification,Small sample size problem,Maximum Scatter Discriminant Analysis
更新于2025-09-04 15:30:14