Abstract:Laser-induced breakdown spectroscopy (LIBS) has been extensively applied due to the capabilities of real-time, multi-phase and multi-element analysis. With the advantages, portable LIBS is in rapid development with great potential of field measurements. In this work, a portable LIBS was developed by a 50 μJ level laser for excitation and an objective lens for focusing or imaging. Element detection was successfully achieved by this setup, and also the microscopic observation could be obtained with the magnification of 350×. A preliminary investigation was carried out for mineral recognition by the developed portable LIBS. The obtained results indicate that the element detection combined with micro observation was an effective way for recognizing minerals, especially for similar mineral identification or discrimination. It is suggested that the micro-joule laser could be alternative for the commercial portable LIBS, and the on-site mineral or rock recognition is a promising field for the application.

Abstract:The structural parameters of low-stepped mirror which is the core component of a light Fourier transform infrared spectrometer (FTIRS) have important influence on the performance of the instrument. A simple method of multiple deposition is proposed to fabricate a low-stepped mirror with step height of 625 nm, for its high precision, high efficiency and miniaturization. So the film stress will be introduced in the process of coating, which can lead to step deformation. We build a bending model of the low-stepped mirror and analyze the influence of its deformation. The light intensity and spectrum are changed by the step deformation. Therefore, the film stress should be reduced in order to ensure the accuracy of the spectral information. Increasing the thickness of substrate is proposed in this paper to reduce the step deformation, besides adjusting the coating temperature and adding sub-layer. Our results reveal that the basic requirements of the system are satisfied when the thickness of the substrate is 5 mm in the appropriate coating environment. An FTIRS based on stepped mirrors and grid beam splitter is assembled and corresponding experiment is carried out to obtain the spectrum curve of acetonitrile.

Abstract:The images obtained by a large optical detection system (>500 mm) are always blurred by atmospheric turbulence. To address this blurring, an adaptive optical system is urgently needed. Here, a 1.3 m vehicle-based adaptive optical system (VAOS), located on the Nasmyth focus, is investigated. A two-grade tip/tilt steering mirror is used to eliminate tracking jitter and atmospheric tipping error. Pupil matching and cooperation between the deformable mirror and the wavefront sensor are adopted to achieve high-order aberration measurement and correction via closed-loop correction and to allow the telescope to obtain high-quality imaging. For different seeing conditions and site locations, the VAOS achieves the sensing over the wavelength range from 0.5 μm to 0.7 μm using a Shack-Harmann wavefront sensor and the correction with a 97-unit deformable mirror for an imaging spectrum range from 0.7 μm to 0.9 μm. Moreover, the maximum detection capability of the system is greater than a visual magnitude of 5, and the angular imaging resolution is better than 0.3".

Abstract:We propose and demonstrate experimentally a multimode oscillation Q-switched erbium-doped fiber laser with a few-mode fiber cavity. The different coupling processes of reflection peaks of fiber Bragg gratings (FBGs) which act as cavity mirrors allow the different oscillating states. We obtain microsecond light pulse output states whose oscillation and output beams have different mode compositions, including high order mode. Such a structure enables the high order mode oscillation in the whole cavity with an all-fiber structure, which has potential applications in mode-division multiplexed systems and research of multimode nonlinear effect.

Abstract:In this paper, a plasmonics refractive index sensor with the semiring-stub system coupled to a bus waveguide is proposed. The structure can achieve wavelength band tunable and ultra-sharp Fano resonance. The coupling mechanism between the bright mode and dark mode is investigated in detail, and apparent plasmon induced transparency (PIT) is realized on the resonance wavelength. The full width at half maximum (FWHM) of the resonant wavelength is modulated by adjusting the coupled distance. The sensitivity and figure of merit (FOM) of the proposed sensor can reach up to 600 nm/RIU and 120 on the visible region, respectively, and this performance can be helpful for designing the photonic integrated circuit and optical communication, in addition, it can be applied for bio-sensing

Abstract:In order to design a complex laser resonator with multi-parameters, the method of particle swarm optimization (PSO) algorithm is employed. The parameters influencing the resonator stability and mode size distribution are taken into consideration, and the stability criteria index and the mode size distribution are used as target values. The absolute values of the differences between practical and the target values are set as the fitness function for the PSO. By minimizing the fitness function, a laser resonator with the optimized cavity parameters can be found. The analyses for the design example demonstrate the feasibility and validity of the PSO method in the computer aided design of multi-parameters laser resonator. Applying PSO algorithm in the intelligent design of solid state laser resonators can realize the transition from manual trial-and-error to computer intelligent design of the laser resonators.

Abstract:This paper presents a scheme to identify and compensate the timing mismatches between two channels for tipme interleaved photonic analog-to-digital converters (TIPADCs). The impact of electro-optic sampling is removed by preprocessing firstly. Then a calibration method combining chopping processing and a Hilbert transform is proposed to identify the timing mismatches, which can be further compensated by using various mature compensation algorithms. The principle of the proposed method is derived theoretically. The performance of the scheme is analyzed by simulation. The results show that the harmonic induced by timing mismatches can be suppressed by more than 30 dB using the proposed correction scheme.

Abstract:A broadband reflective polarization converter is proposed. The unit cell of polarization converter is composed of a single-split resonant ring, a double-split resonant ring, a dielectric substrate and a metallic ground. The simulated results show that the polarization converter can convert x-polarized waves into y-polarized waves and obtain a broadband polarization conversion from 0.501 0 THz to 1.390 0 THz with the polarization conversion ratio (PCR) beyond 80% at normal incidence. Moreover, the surface current distributions are investigated to explain the polarization conversion mechanism. Finally, a good agreement is achieved between simulated and measured results. The polarization converter can be applied in terahertz imaging, communication and stealthy technology.

Abstract:We experimentally demonstrate the multiple signal modulation on a single class 10 G vertical cavity surface emitting laser (VCSEL) carrier at 1 310 nm for next generation multicast-enabled data center networks. A 10 Gbit/s data signal is directly modulated onto a single mode VCSEL carrier. To maximize carrier spectral efficiency, a 2 GHz reference frequency (RF) clock tone is simultaneously modulated on the VCSEL phase attribute. The inherent VCSEL orthogonal polarization bistability with changing bias current is further exploited in transmission of a polarization based pulse per second (PPS) timing clock signal. Therefore, we simultaneously transmit a 10 Gbit/s directly modulated data, 2 GHz phase modulated RF and a polarization-based PPS clock signals using a single mode 10 GHz bandwidth VCSEL carrier. It is the first time that a single class 10 G VCSEL carrier is reported to transmit a directly modulated data, phase modulated RF clock and polarization based PPS timing signal simultaneously in a single wavelength. A of G.652 single mode fibre (SMF) transmission over 3.21 km is experimentally attained. A receiver sensitivity of −15.60 dBm is experimentally obtained for the directly modulated 10 Gbit/s data signal. A 3.21-km-long SMF transmission introduces a penalty of 0.23 dB to the data signal. The contribution of a 2 GHz phase modulated RF and a polarization-based PPS clock signal to this penalty is found to be 0.03 dB. An RF single-side band (SSB) phase noise values of −82.36 dBc/Hz and −77.97 dBc/Hz are attained without and with simultaneous directly modulated data and polarization-based PPS clock signals respectively for a 3.21-km-long SMF transmission. This work provides an alternative efficient and cost effective technique for simultaneous high-speed multiple information transmission to different network nodes within a data center network through shared network infrastructure.

Abstract:The ethanol content in ethanol-gasoline is respectively detected by the first-order derivative UV/vis absorption spectrum, the first-order derivative near infrared (NIR) absorption spectrum and the information fusion method. The backward interval partial least squares (BiPLS) algorithm is used as the feature extraction method, which is established by the partial least squares (PLS) regression model. Based on the information fusion theory, the low level data fusion (LLDF) and mid-level data fusion (MLDF) models are established by the first-order derivative UV/vis and NIR spectra. The analytical results are compared with the related textual references. Thereby, the single-spectral model based on the first-order derivative NIR absorption spectrum has the optimal results, where =0.999 1 and RMSEP=0.324 5, while the LLDF after vector normalization (LLDF-VN2) is the optimal multi-spectral fusion model, where =0.998 3 and RMSEP=0.498 2. The proposed method can be used to detect the ethanol content in ethanol-gasoline rapidly and provides a better choice for the component detection in mixed oils.

Abstract:Synchronous chip seal is an advanced road constructing technology, and the gravel coverage rate is an important indicator of the construction quality. In this paper, a novel approach for gravel coverage rate measurement is proposed based on deep learning. Convolutional neural network (CNN) is used to segment the image of ground covered with gravels, and the gravel coverage rate is computed by the percentage of gravel pixels in the segmented image. The gravel coverage rate dataset for model training and testing is built. The performance of fully convolutional neural network (FCN) and U-Net model in the dataset is tested. A better model named GravelNet is constructed based on U-Net. The scaled exponential linear unit (SELU) is employed in the GravelNet to replace the popular combination of rectified linear unit (ReLU) and batch normalization (BN). Data augmentation and alpha dropout are performed to reduce overfitting. The experimental results demonstrate the effectiveness and accuracy of our proposed method. Our trained GravelNet achieves the mean gravel coverage rate error of 0.35% on test dataset.

Abstract:The determination of Luzhou-flavor liquor ages is carried out by three-dimensional fluorescence spectroscopy combined with non-negative matrix factorization (NMF). 37 samples of aged liquors with weighted ages of 15, 20 and 25 years were prepared by blending three Luzhou-flavor original base liquors with storage ages of 10, 20 and 30 years in different proportions. The fluorescence spectra of the samples were measured, and then factorized into basis matrix and coefficients matrix by multiplicative iterative NMF. The fluorescence spectra, reconstructed from the basis matrix, are similar to the original spectra. The coefficients matrix is taken as the input of support vector machine (SVM) to establish a prediction model for the determination of liquor ages. Compared with the principal component analysis, the prediction model based on SVM has a predicted accuracy better than 91.7%. This method can provide helps for the market supervision on the aged liquors.

Abstract:To quickly obtain accurate 3D data of dental cast model, this paper proposes a 3D reconstruction method for dental cast model based on structured light. This method combines the structured light with the motor turntable to obtain a group of 3D data for the dental cast model from multiple angles, and automatically registers the dental 3D data from multiple angles through the ball calibration of turntable. Compared with the real data of the dental cast model, the maximum error of the 3D reconstruction results in this paper is 0.115 mm. The reconstruction time of this process is about 130 s. The experimental results show that the method has high precision and high scanning speed for the 3D reconstruction of the dental cast model.

Abstract:A novel optical testing target (OTT) with three degrees of freedom (DOFs) is proposed for measuring the tracking performance of a photoelectric theodolite. The main components, such as the azimuth axis system, the pitching axis system, the linear motion system, and the simulated target generator, are designed. Furthermore, the linear module with the form of a large-span and low-stiffness cantilever beam is strengthened using an integrated optimization method. After the structure is strengthened, the 1st-order natural frequency increases from 14 Hz to 32 Hz. Finally, a functional test is performed and the results show that compared with a traditional optical test target, the simulated target generated by the novel target is advantageous in practice.

Abstract:The sensitivity of the plasmonic sensor surfaces can be enhanced significantly if the sensor region is bent to U shape. Here, an experimental verification is done to evaluate the performance variations of the U-bent plasmonic silver coated sensor surfaces with different coating orientations inside the vacuum coating chamber. The performances of uncoated, partially coated as well as fully coated optical fiber U-bent surfaces are analyzed. The results show that the coating configuration of the U-bent surfaces can affect the sensing property. A fully silver coated sensor region outperforms the other two types of sensor surfaces with better sensing capability.

Abstract:In order to enhance the contrast of low-light images and reduce noise in them, we propose an image enhancement method based on Retinex theory and dual-tree complex wavelet transform (DT-CWT). The method first converts an image from the RGB color space to the HSV color space and decomposes the V-channel by dual-tree complex wavelet transform. Next, an improved local adaptive tone mapping method is applied to process the low frequency components of the image, and a soft threshold denoising algorithm is used to denoise the high frequency components of the image. Then, the V-channel is rebuilt and the contrast is adjusted using white balance method. Finally, the processed image is converted back into the RGB color space as the enhanced result. Experimental results show that the proposed method can effectively improve the performance in terms of contrast enhancement, noise reduction and color reproduction.

Abstract:In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the test image is defective or not, and the binary representation of the defective images is obtained, according to the global coefficient feature. Owing to the requirements for the efficiency and detecting quality, the block proximal gradient operator is introduced to speed up the online dictionary learning. Considering the correlation among the testing samples, prior knowledge is applied in the orthogonal-matching-pursuit sparse representation algorithm to improve the speed of sparse coding. Experimental results demonstrate that the proposed detection method can effectively detect and extract the defects of the surface images, and has broad applicability.