33 research outputs found

    Super-compact universal quantum logic gates with inversedesigned elements

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    Integrated quantum photonic circuit is a promising platform for the realization of quantum information processing in the future. To achieve the largescale quantum photonic circuits, the applied quantum logic gates should be as small as possible for the high-density integration on chips. Here, we report the implementation of super-compact universal quantum logic gates on silicon chips by the method of inverse design. In particular, the fabricated controlled-NOT gate and Hadamard gate are both nearly a vacuum wavelength, being the smallest optical quantum gates reported up to now. We further design the quantum circuit by cascading these fundamental gates to perform arbitrary quantum processing, where the corresponding size is about several orders smaller than that of previous quantum photonic circuits. Our study paves the way for the realization of largescale quantum photonic chips with integrated sources, and can possess important applications in the field of quantum information processes

    Breakup behavior of nanolayers in polymeric multilayer systems — Creation of nanosheets and nanodroplets

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    Multilayer films comprising polystyrene (PS)/polymethyl methalcrylate (PMMA) and PS/polycaprolatone (PCL) alternating nanolayers with varied layer thickness were fabricated by multilayer coextrusion. The nanolayers breakup phenomena of PMMA and PCL were characterized using atomic force microscopy (AFM), oxygen permeability, light transmission, wide-angle X-ray scattering (WAXS), and differential scanning calorimetry (DSC). The continuous layers started to break up into nanosheets and nanodroplets during the coextrusion process when the nominal layer thickness decreased to between 30 nm and 40 nm. Further decrease of the nominal layer thickness of PMMA and PCL resulted in less nanosheets and more nanodroplets. Oxygen permeability was effective for characterizing the onset thickness of layer breakup. The oxygen permeability for the PS/PCL system was modeled and demonstrated good correlation with estimated composition of continuous layers, nanosheets, and nanodroplets

    Cassava genome from a wild ancestor to cultivated varieties

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    Cassava is a major tropical food crop in the Euphorbiaceae family that has high carbohydrate production potential and adaptability to diverse environments. Here we present the draft genome sequences of a wild ancestor and a domesticated variety of cassava and comparative analyses with a partial inbred line. We identify 1,584 and 1,678 gene models specific to the wild and domesticated varieties, respectively, and discover high heterozygosity and millions of single-nucleotide variations. Our analyses reveal that genes involved in photosynthesis, starch accumulation and abiotic stresses have been positively selected, whereas those involved in cell wall biosynthesis and secondary metabolism, including cyanogenic glucoside formation, have been negatively selected in the cultivated varieties, reflecting the result of natural selection and domestication. Differences in microRNA genes and retrotransposon regulation could partly explain an increased carbon flux towards starch accumulation and reduced cyanogenic glucoside accumulation in domesticated cassava. These results may contribute to genetic improvement of cassava through better understanding of its biology

    Research on Performance Evaluation of Diversified Government Quality Work and Analysis on Application Practice in Nei Mongol

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    The evaluation of public satisfaction with government quality work is an evaluation form to evaluate government performance from the perspective of the public. The evaluation process is open and transparent, and the results are relatively objective and fair. Taking the application practice in Nei Mongol as an example, in this paper, an index framework is designed and constructed, 12 leagues and cities in the whole region are covered by the investigation, and the actual effect of local quality work is explored and analyzed in combination with big data technology so as to provide enlightenment and reference for relevant research work in the quality field

    Research and Application on the Third Party Quality Monitoring for Social Public Service: A Case Study of Survey Data in Liaoning Province

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    To monitor study and analyze the social public service quality is conducive to promote the construction of a service-oriented government that is satisfactory to the people. In this paper, third-party quality monitoring was conducted in 14 cities of Liaoning Province from 11 public service fields such as living environment, public transportation, infrastructure, medical and health care, public security, culture and sports, compulsory education, pension service, employment service, social security and administrative convenience. The results showed that the public’s satisfaction with social security, compulsory education, living environment, public security and employment services was low, which needed to be paid attention to and further improved by Liaoning Provincial Government

    A Study on Satisfaction of Elderly Care Service Quality Based on Different Groups: Taking the Monitoring Data of Liaoning Province as an Example

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    The monitoring and analysis of the social public service quality is conducive to promoting the construction of a service-oriented government that the people are satisfied with. In this paper, the third-party quality monitoring is carried out in 14 cities in Liaoning Province from 11 public service areas, including residential environment, public transportation, infrastructure, medical and health care, public security, cultural and sports, compulsory education, elderly care service, employment service, social security and administrative convenience. The results show that the public's satisfaction with social security, compulsory education, residential environment, public security and employment service is low, which needs to be paid attention to and further improved by Liaoning provincial government

    SAR Image Segmentation by Efficient Fuzzy <i>C</i>-Means Framework with Adaptive Generalized Likelihood Ratio Nonlocal Spatial Information Embedded

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    The existence of multiplicative noise in synthetic aperture radar (SAR) images makes SAR segmentation by fuzzy c-means (FCM) a challenging task. To cope with speckle noise, we first propose an unsupervised FCM with embedding log-transformed Bayesian non-local spatial information (LBNL_FCM). This non-local information is measured by a modified Bayesian similarity metric which is derived by applying the log-transformed SAR distribution to Bayesian theory. After, we construct the similarity metric of patches as the continued product of corresponding pixel similarity measured by generalized likelihood ratio (GLR) to avoid the undesirable characteristics of log-transformed Bayesian similarity metric. An alternative unsupervised FCM framework named GLR_FCM is then proposed. In both frameworks, an adaptive factor based on the local intensity entropy is employed to balance the original and non-local spatial information. Additionally, the membership degree smoothing and the majority voting idea are integrated as supplementary local information to optimize segmentation. Concerning experiments on simulated SAR images, both frameworks can achieve segmentation accuracy of over 97%. On real SAR images, both unsupervised FCM segmentation frameworks work well on SAR homogeneous segmentation in terms of region consistency and edge preservation

    Based on the Public Quality Perception Satisfaction Evaluation Theory System Research and Yunnan Province Application Practice

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    Survey on public satisfaction of quality work is one of the effective methods for connecting the quality management department with the public. In this paper, the application of techniques and methods of survey on public satisfaction of quality work is studied and explored from the aspects of the design of survey content index system, data collection, and statistical result analysis based on the survey on public satisfaction of quality work in Yunnan Province, so as to provide enlightenment and reference for the relevant research work in the field of quality

    Pre-Processing of Inner CCD Image Stitching of the SDGSAT-1 Satellite

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    Spliced optical satellite cameras suffering from low stitching accuracy are influenced by various factors which can greatly restrict their applications. Most previous studies have focused on the geometric precision of stitched images, which is influenced by the stitching consistency and the relationships between different inner CCD (Charge-Coupled Device) images. Therefore, the stitching accuracy is of great significance in multiple CCD image production. Traditionally, the line-time normalization method has been applied for inner CCD image stitching based on designed line-times with the assumption of uniform sampling during imaging. However, the misalignment of the designed and actual line-time affected by various factors can lead to image distortion. Therefore, this paper investigates the performance of different normalization methods to produce stitched images with higher geometric performance using the actual line-time. First, the geometric distortions caused by misalignments between the designed and actual line-time are analyzed to show the differences in sampling rate and step-points. To overcome the distortions introduced by the fitting error of the designed line-time, three fine normalization methods based on the actual line-time, respectively called scene-based, block-based, and line-based line-time normalization methods, are introduced and compared with the traditional method. The scene-based and block-based line-time normalization methods fit the actual line-time section-by-section, while the line-based method builds the relationships between adjacent inner CCD images line-by-line. Images obtained from the Sustainable Development Goals Satellite 1 (SDGSAT-1) satellite are used for verification of different methods. The performance of the designed line-time normalization method and three fine actual line-time normalization methods is compared; the stitching accuracy can reach about 0.8, 0.56, 0.5, and 0.45 pixels, respectively. The time consumption of these four compared methods is about 5.5 s, 4.9 s, 5.4 s, and 58.9 s, respectively. Therefore, the block-based actual line-time normalization method utilized in practice can provide a good balance between running time and accuracy. In the future, we intend to find a new way to improve the efficiency of line-based line-time normalization methods to produce stitched images with higher geometric consistency and accuracy
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