Retrieval Scheme(检索方案)研究综述
Retrieval Scheme 检索方案 - We present a 1D planetary model where the interior is coupled with the atmosphere in radiative-convective equilibirum within a Bayesian retrieval scheme. [1] In this paper, we propose a novel content based-image retrieval scheme using compressible encrypted images, called encryption-then-compression (EtC) images. [2] Furthermore, a simplified version of the model is derived, to allow its inversion with limited a priori knowledge, which is then applied to a topographic retrieval scheme. [3] The radar observations were compared with T-matrix scattering simulations for the development of a retrieval scheme of ice microphysics. [4] Our goal is to make it obvious for the reader that the focal point of our study is the question of how well moisture anomalies in the mid troposphere can be captured by IASI – given a quite standard physical retrieval scheme – and not on advancing retrieval methods. [5] SAR simulators are important tools for the implementation and evaluation of wave spectra retrieval schemes. [6] A lidar-based retrieval scheme is proposed here, with its performance assessed on fine spatio-temporal observations over the Arctic site of Ny-Ålesund, Svalbard. [7] In this study, we investigated methodological and knowledge gaps in remote sensing of chlorophyll-a SIF in optically complex waters by reviewing the theory behind SIF occurrence, the availability of existing and upcoming instrumentation, the availability of SIF retrieval schemes, and the applications for aquatic research. [8] The TROPOMI and APEX NO2 vertical column density (VCD) retrieval schemes are similar in concept. [9] To evaluate the performance of the algorithm, the retrieved CTP and CF using observational data from the Global Ozone Monitoring Experiment-2 (GOME-2), which cover the spectral range of GEMS, were compared with the results of the Fast Retrieval Scheme for Clouds from the Oxygen A band (FRESCO) algorithm, which is based on the O2 A-band. [10] Exoplanet researchers have recently introduced multidimensional retrieval schemes to interpret the spectra of short-period planets, but these codes are necessarily more complex and computationally expensive than their 1D counterparts. [11] Based on deep learning, this paper proposes a retrieval scheme of encrypted JPEG images. [12] Based on these documents, we introduce a two-phase retrieval scheme that first finds a set of candidate query results and then re-ranks these candidates with more expensive application-specific methods. [13] This work provides joint privacy and channel coding retrieval schemes for the Gaussian MAC with and without fading. [14] We developed a hybrid retrieval scheme based on PROSAIL-D RTM simulations to create a training dataset of top-of-canopy spectral reflectance and the corresponding FVC for the dominant plant communities. [15] On the other hand, the MWIR channel/s can be easily incorporated into any physical-based SST retrieval scheme. [16] The data sets include a) the TROPOMI level 2 OCRA/ROCINN (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks) cloud products CRB (cloud as reflecting boundaries) and CAL (clouds as layers), b) the FRESCO (Fast Retrieval Scheme for Clouds from Oxygen absorption bands) cloud product, c) the cloud fraction from the NO2 fitting window, d) the VIIRS (Visible Infrared Imaging Radiometer Suite) cloud product, and e) the MICRU (Mainz Iterative Cloud Retrieval Utilities) cloud fraction. [17] In this paper, an image retrieval scheme has been proposed based on block level hybrid features. [18] We present a non-local thermodynamic equilibrium retrieval scheme for atmospheric composition and its application to Mars CO2 infrared limb emissions as measured by the OMEGA instrument on board Mars Express (MEx). [19] Deep hashing, the state-of-the-art fast image retrieval scheme, introduces deep learning to learn the hash functions and generate binary hash codes, and outperforms the other image retrieval methods in terms of accuracy. [20] In this paper, we propose a privacy-preserving image retrieval scheme, in which the images are encrypted but similar images to a query can be efficiently retrieved from the encrypted images. [21] Current SAR platforms have one single fixed antenna, and traditional inversion/retrieval schemes rely on one copolarized channel, leading to an unconstrained optimization problem for providing independent estimates of wind speed and direction. [22] In this paper, we address the problem of global-scale image geolocation, proposing a mixed classification-retrieval scheme. [23] For the lower bounds, we establish optimal rate PIR retrieval schemes for star graphs via edge-coloring techniques. [24] As the image retrieval scheme continues to mature, many areas such as industrial and business have begun to apply more user-friendly techniques, namely image retrieval, instead of the text data retrieval technology. [25] The device demonstrates in vivo human corneal images under different image retrieval schemes (2-phase and 4-phase) and different exposure times (3. [26] Retrievals of OCS from these IASI radiances have been made using an adapted version of the University of Leicester IASI Retrieval Scheme (ULIRS). [27] Three retrieval schemes of atmospheric parameters in microwave remote sensing based on DNN were performed in the study of bias correction of MWHTS observation and the retrieval of the atmospheric temperature and humidity profiles using MWHTS observations. [28] We will present the vertical distribution of ozone obtained from NOMAD-UVIS solar occultations and we will compare the results of three retrieval schemes. [29] In this paper, by exploiting searchable encryption and cooperative edge computing, we proposed an efficient ciphertext index retrieval scheme to tackle three issues simultaneously in a secure and efficient data search service scenario: (1) reducing data transportation latency to improve mobile user’s quality of experience; (2) mitigating data traffic pressure on the backbone network; (3) guaranteeing the security of the data when users search data in the edge network. [30] In this paper, a multi-keyword cipher-text retrieval scheme (MCR- SGEC) for smart grid edge computing is proposed, which can achieve accurate matching of index and trap door, and has low spatial complexity. [31] In this study, we simplified observed variability of snowpack properties (depth, density, microstructure) in a two-layer model with mean values and distributions of two multi-year tundra dataset so they could be incorporated in SWE retrieval schemes. [32] Most of the existing solutions focus on the efficiency and accuracy of retrieval, lack of verification of the completeness of search results, to achieve the reliability of search results and the transparency of the search process, we explore characteristic such as the decentralization and tamper-proof of blockchain, proposed a blockchain-based encrypted image retrieval scheme. [33] In order to improve the accuracy and time efficiency of video retrieval schemes and recognition schemes, this article firstly proposes a segmentation and key frame extraction method for video behavior recognition, using a multi-time scale dual-stream network to extract video features, improving the efficiency and efficiency of video behavior detection. [34] We present a planet model where the interior is coupled with the atmosphere within a Bayesian retrieval scheme. [35] The modification of an existing cloud property retrieval scheme for the Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument on board the geostationary Meteosat satellites is described to utilize its high-resolution visible (HRV) channel for increasing the spatial resolution of its physical outputs. [36] For this reason, this paper proposes a privacy-preserving and traitor tracking content-based image retrieval scheme in cloud computing. [37] Furthermore, MICRU results are compared to FRESCO (fast retrieval scheme for clouds from the oxygen A band) and OCRA (optical cloud recognition algorithm) operational cloud products. [38] On observing that the existing cache-aided scalar linear function retrieval scheme does not work in the proposed setting, this paper designs a novel coded caching scheme that outperforms uncoded caching schemes that either use unicast transmissions or let each user recover all files in the library. [39] A joint retrieval scheme is developed as both subsidence and soil moisture are essential to accurate active layer thickness (ALT) estimation. [40] The determination of the pairing of the input scheme and teh retrieval scheme that have unequal flow is an important factor in producing a good transposition. [41] Both retrieval schemes make use of a spheroidal dust shape model. [42] This study proposes a multi-scale information retrieval scheme for BIM jointly using the hierarchical structure of BIM and Natural Language Processing (NLP). [43] We propose a novel content based-image retrieval scheme for encryption-then-compression (EtC) images. [44] In this paper, a new video retrieval scheme developed for retrieving videos from an extensive database with a video query. [45] And thirdly the auxiliary data (wind, SST, atmospheric parameters) used as priors in the retrieval scheme, which come in the original SMOS processing from the ECMWF forecast model were replaced by ERA5 reanalysis. [46] For these, this paper proposes a data privacy protection and efficient retrieval scheme for IoMT based on low-cost fog computing. [47] The product is based on a new FLS retrieval scheme that uses brightness temperature (BT) information of night-time satellite images acquired by the Aqua Moderate Imaging Spectroradiometer (Aqua MODIS). [48] In this work we assess the quality of the cloud data from three Copernicus Sentinel-5 Precursor (S5P) TROPOMI cloud products: (i) S5P OCRA/ROCINN_CAL (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks;Clouds-As-Layers), (ii) S5P OCRA/ROCINN_CRB (Clouds-as-Reflecting Boundaries), and (iii) S5P FRESCO-S (Fast Retrieval Scheme for Clouds from Oxygen absorption bands – Sentinel). [49] Extensive experiments have validated that our retrieval scheme has an average retrieval rate of 2% higher than other related texture statistical techniques. [50]我们提出了一个一维行星模型，其中在贝叶斯反演方案中，内部与大气在辐射-对流平衡中耦合。 [1] 在本文中，我们提出了一种新颖的基于内容的图像检索方案，该方案使用可压缩的加密图像，称为先加密后压缩 (EtC) 图像。 [2] 此外，导出了模型的简化版本，以允许使用有限的先验知识对其进行反演，然后将其应用于地形检索方案。 [3] 将雷达观测与 T 矩阵散射模拟进行比较，以开发冰微物理的检索方案。 [4] 我们的目标是让读者明白，我们研究的重点是 IASI 能在多大程度上捕获对流层中部的水分异常——给定一个相当标准的物理反演方案——而不是关于先进的反演方法。 [5] SAR 模拟器是实施和评估波谱检索方案的重要工具。 [6] 这里提出了一种基于激光雷达的检索方案，其性能通过对斯瓦尔巴群岛 Ny-Ålesund 北极站点的精细时空观测进行评估。 [7] 在这项研究中，我们通过回顾 SIF 发生背后的理论、现有和未来仪器的可用性、SIF 反演方案的可用性以及水生研究。 [8] TROPOMI 和 APEX NO2 垂直列密度 (VCD) 检索方案在概念上相似。 [9] 为了评估算法的性能，将使用全球臭氧监测实验 2 (GOME-2) 的观测数据（覆盖 GEMS 光谱范围）检索到的 CTP 和 CF 与云快速检索方案的结果进行了比较来自基于 O2 A 波段的氧气 A 波段 (FRESCO) 算法。 [10] 系外行星研究人员最近引入了多维检索方案来解释短周期行星的光谱，但这些代码必然比它们的一维对应代码更复杂且计算成本更高。 [11] 本文基于深度学习，提出一种加密JPEG图像的检索方案。 [12] 基于这些文档，我们引入了一种两阶段检索方案，该方案首先找到一组候选查询结果，然后使用更昂贵的特定于应用程序的方法对这些候选者进行重新排序。 [13] 这项工作为有和没有衰落的高斯 MAC 提供了联合隐私和信道编码检索方案。 [14] 我们开发了一种基于 PROSAIL-D RTM 模拟的混合检索方案，以创建一个冠层光谱反射率训练数据集和主要植物群落的相应 FVC。 [15] 另一方面，MWIR 通道/s 可以很容易地结合到任何基于物理的 SST 检索方案中。 [16] 数据集包括 a) TROPOMI level 2 OCRA/ROCINN (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks) 云产品 CRB (云作为反射边界) 和 CAL (云作为层), b) FRESCO (Fast从氧吸收带中检索云的方案）云产品，  c) NO<sub>2</sub> 拟合窗口的云分数，d) VIIRS（可见红外成像辐射计套件）云产品，以及 e) MICRU（美因茨迭代云检索实用程序）云分数。 [17] 本文提出了一种基于块级混合特征的图像检索方案。 [18] 我们提出了大气成分的非局部热力学平衡反演方案及其在火星快车 (MEx) 上的 OMEGA 仪器测量的火星 CO2 红外临边排放中的应用。 [19] 深度散列是最先进的快速图像检索方案，它引入了深度学习来学习散列函数并生成二进制散列码，并且在准确性方面优于其他图像检索方法。 [20] 在本文中，我们提出了一种保护隐私的图像检索方案，其中图像被加密，但可以从加密图像中有效地检索与查询相似的图像。 [21] 目前的 SAR 平台只有一个固定天线，而传统的反演/检索方案依赖于一个共极化信道，导致了一个无约束的优化问题，无法独立估计风速和风向。 [22] 在本文中，我们解决了全球尺度的图像地理定位问题，提出了一种混合分类检索方案。 [23] 对于下界，我们通过边缘着色技术为星图建立了最优速率 PIR 检索方案。 [24] 随着图像检索方案的不断成熟，工业和商业等许多领域已经开始应用更加人性化的技术，即图像检索，而不是文本数据检索技术。 [25] 该设备在不同的图像检索方案（2 相和 4 相）和不同的曝光时间（3. [26] 已使用莱斯特大学 IASI 检索方案 (ULIRS) 的改编版本从这些 IASI 辐射中检索 OCS。 [27] 在MWHTS观测偏差校正和MWHTS观测大气温湿度廓线反演研究中，开展了三种基于DNN的微波遥感大气参数反演方案。 [28] <p>我们将展示<strong>NOMAD-UVIS太阳掩星</strong>获得的<strong>臭氧</strong>垂直分布，并比较三种反演方案的结果。 [29] 在本文中，我们通过利用可搜索加密和协作边缘计算，提出了一种高效的密文索引检索方案，在安全高效的数据搜索服务场景中同时解决三个问题：（1）减少数据传输延迟，提高移动用户的体验质量; (2) 缓解骨干网的数据流量压力； (3)保证用户在边缘网络中搜索数据时数据的安全性。 [30] 本文提出了一种用于智能电网边缘计算的多关键字密文检索方案（MCR-SGEC），能够实现索引和陷门的精确匹配，且空间复杂度低。 [31] 在这项研究中，我们简化了在两层模型中观察到的积雪特性（深度、密度、微观结构）的变化，其中包含两个多年苔原数据集的平均值和分布，因此可以将它们纳入 SWE 检索方案。 [32] 现有的解决方案大多侧重于检索的效率和准确性，缺乏对搜索结果完整性的验证，为实现搜索结果的可靠性和搜索过程的透明性，我们探索去中心化和防篡改等特性区块链，提出了一种基于区块链的加密图像检索方案。 [33] 为了提高视频检索方案和识别方案的准确率和时间效率，本文首先提出了一种视频行为识别的分割和关键帧提取方法，利用多时间尺度的双流网络提取视频特征，提高视频行为检测的效率和效率。 [34] 我们提出了一个行星模型，其中内部与贝叶斯检索方案中的大气相耦合。 [35] 现有云属性检索方案的修改 旋转增强可见光和红外成像仪 (SEVIRI) 仪器 在地球静止的 Meteosat 卫星上被描述为利用 其高分辨率可见 (HRV) 通道用于增加空间 其物理输出的分辨率。 [36] 为此，本文提出了一种基于隐私保护和叛徒跟踪的云计算图像检索方案。 [37] 此外，MICRU 结果与 FRESCO（氧气 A 波段云的快速检索方案）和 OCRA（光学云识别算法）业务云产品进行了比较。 [38] 在观察到现有的缓存辅助标量线性函数检索方案在所提出的设置中不起作用时，本文设计了一种新颖的编码缓存方案，该方案优于使用单播传输或让每个用户恢复库中所有文件的未编码缓存方案。 [39] 由于沉降和土壤水分对于准确的活动层厚度 (ALT) 估计至关重要，因此开发了一种联合检索方案。 [40] 确定具有不等流的输入方案和检索方案的配对是产生良好转置的重要因素。 [41] 两种检索方案都使用球形尘埃形状模型。 [42] 本研究结合使用 BIM 的层次结构和自然语言处理 (NLP) 提出了一种用于 BIM 的多尺度信息检索方案。 [43] 我们提出了一种新颖的基于内容的图像检索方案，用于加密然后压缩（EtC）图像。 [44] 在本文中，开发了一种新的视频检索方案，用于通过视频查询从广泛的数据库中检索视频。 [45] 第三，在检索方案中用作先验的辅助数据（风、SST、大气参数）来自ECMWF预测模型的原始SMOS处理，被ERA5再分析所取代。 [46] 为此，本文提出了一种基于低成本雾计算的物联网数据隐私保护和高效检索方案。 [47] 该产品基于一种新的 FLS 检索方案，该方案使用由 Aqua 中等成像光谱仪 (Aqua MODIS) 获取的夜间卫星图像的亮温 (BT) 信息。 [48] 在这项工作中，我们评估了三个 Copernicus Sentinel-5 Precursor (S5P) TROPOMI 云产品的云数据质量：(i) S5P OCRA/ROCINN_CAL（光学云识别算法/使用神经网络检索云信息；Clouds-As-层），(ii) S5P OCRA/ROCINN_CRB（云作为反射边界）和 (iii) S5P FRESCO-S（氧气吸收带云的快速检索方案 - 哨兵）。 [49] 大量的实验已经证实，我们的检索方案的平均检索率比其他相关的纹理统计技术高 2%。 [50]
Image Retrieval Scheme
In this paper, we propose a novel content based-image retrieval scheme using compressible encrypted images, called encryption-then-compression (EtC) images. [1] In this paper, an image retrieval scheme has been proposed based on block level hybrid features. [2] Deep hashing, the state-of-the-art fast image retrieval scheme, introduces deep learning to learn the hash functions and generate binary hash codes, and outperforms the other image retrieval methods in terms of accuracy. [3] In this paper, we propose a privacy-preserving image retrieval scheme, in which the images are encrypted but similar images to a query can be efficiently retrieved from the encrypted images. [4] As the image retrieval scheme continues to mature, many areas such as industrial and business have begun to apply more user-friendly techniques, namely image retrieval, instead of the text data retrieval technology. [5] The device demonstrates in vivo human corneal images under different image retrieval schemes (2-phase and 4-phase) and different exposure times (3. [6] Most of the existing solutions focus on the efficiency and accuracy of retrieval, lack of verification of the completeness of search results, to achieve the reliability of search results and the transparency of the search process, we explore characteristic such as the decentralization and tamper-proof of blockchain, proposed a blockchain-based encrypted image retrieval scheme. [7] For this reason, this paper proposes a privacy-preserving and traitor tracking content-based image retrieval scheme in cloud computing. [8] We propose a novel content based-image retrieval scheme for encryption-then-compression (EtC) images. [9] The paper presents a content based image retrieval scheme based on feature extraction and weighing. [10] The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead but also cannot well protect the image and query privacy in multi-user scenarios. [11]在本文中，我们提出了一种新颖的基于内容的图像检索方案，该方案使用可压缩的加密图像，称为先加密后压缩 (EtC) 图像。 [1] 本文提出了一种基于块级混合特征的图像检索方案。 [2] 深度散列是最先进的快速图像检索方案，它引入了深度学习来学习散列函数并生成二进制散列码，并且在准确性方面优于其他图像检索方法。 [3] 在本文中，我们提出了一种保护隐私的图像检索方案，其中图像被加密，但可以从加密图像中有效地检索与查询相似的图像。 [4] 随着图像检索方案的不断成熟，工业和商业等许多领域已经开始应用更加人性化的技术，即图像检索，而不是文本数据检索技术。 [5] 该设备在不同的图像检索方案（2 相和 4 相）和不同的曝光时间（3. [6] 现有的解决方案大多侧重于检索的效率和准确性，缺乏对搜索结果完整性的验证，为实现搜索结果的可靠性和搜索过程的透明性，我们探索去中心化和防篡改等特性区块链，提出了一种基于区块链的加密图像检索方案。 [7] 为此，本文提出了一种基于隐私保护和叛徒跟踪的云计算图像检索方案。 [8] 我们提出了一种新颖的基于内容的图像检索方案，用于加密然后压缩（EtC）图像。 [9] nan [10] nan [11]
Fast Retrieval Scheme
To evaluate the performance of the algorithm, the retrieved CTP and CF using observational data from the Global Ozone Monitoring Experiment-2 (GOME-2), which cover the spectral range of GEMS, were compared with the results of the Fast Retrieval Scheme for Clouds from the Oxygen A band (FRESCO) algorithm, which is based on the O2 A-band. [1] The data sets include a) the TROPOMI level 2 OCRA/ROCINN (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks) cloud products CRB (cloud as reflecting boundaries) and CAL (clouds as layers), b) the FRESCO (Fast Retrieval Scheme for Clouds from Oxygen absorption bands) cloud product, c) the cloud fraction from the NO2 fitting window, d) the VIIRS (Visible Infrared Imaging Radiometer Suite) cloud product, and e) the MICRU (Mainz Iterative Cloud Retrieval Utilities) cloud fraction. [2] Furthermore, MICRU results are compared to FRESCO (fast retrieval scheme for clouds from the oxygen A band) and OCRA (optical cloud recognition algorithm) operational cloud products. [3] In this work we assess the quality of the cloud data from three Copernicus Sentinel-5 Precursor (S5P) TROPOMI cloud products: (i) S5P OCRA/ROCINN_CAL (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks;Clouds-As-Layers), (ii) S5P OCRA/ROCINN_CRB (Clouds-as-Reflecting Boundaries), and (iii) S5P FRESCO-S (Fast Retrieval Scheme for Clouds from Oxygen absorption bands – Sentinel). [4] Three cloud products are considered: (i) L2_CLOUD OCRA/ROCINN CAL (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks; Clouds-As-Layers), (ii) L2_CLOUD OCRA/ROCINN CRB (same; Clouds-as Reflecting Boundaries), and (iii) the S5p support product FRESCO-S (Fast Retrieval Scheme for Clouds from Oxygen absorption bands for Sentinel). [5] The FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A band) algorithm is a simple, fast and robust algorithm used to retrieve cloud information in operational satellite data processing. [6]为了评估算法的性能，将使用全球臭氧监测实验 2 (GOME-2) 的观测数据（覆盖 GEMS 光谱范围）检索到的 CTP 和 CF 与云快速检索方案的结果进行了比较来自基于 O2 A 波段的氧气 A 波段 (FRESCO) 算法。 [1] 数据集包括 a) TROPOMI level 2 OCRA/ROCINN (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks) 云产品 CRB (云作为反射边界) 和 CAL (云作为层), b) FRESCO (Fast从氧吸收带中检索云的方案）云产品，  c) NO<sub>2</sub> 拟合窗口的云分数，d) VIIRS（可见红外成像辐射计套件）云产品，以及 e) MICRU（美因茨迭代云检索实用程序）云分数。 [2] 此外，MICRU 结果与 FRESCO（氧气 A 波段云的快速检索方案）和 OCRA（光学云识别算法）业务云产品进行了比较。 [3] 在这项工作中，我们评估了三个 Copernicus Sentinel-5 Precursor (S5P) TROPOMI 云产品的云数据质量：(i) S5P OCRA/ROCINN_CAL（光学云识别算法/使用神经网络检索云信息；Clouds-As-层），(ii) S5P OCRA/ROCINN_CRB（云作为反射边界）和 (iii) S5P FRESCO-S（氧气吸收带云的快速检索方案 - 哨兵）。 [4] nan [5] nan [6]
Bayesian Retrieval Scheme
We present a 1D planetary model where the interior is coupled with the atmosphere in radiative-convective equilibirum within a Bayesian retrieval scheme. [1] We present a planet model where the interior is coupled with the atmosphere within a Bayesian retrieval scheme. [2] Early versions of passive microwave products from GPM utilized a physically constructed database in a Bayesian retrieval scheme, assumed ice particles to be spheres, and used Mie radiative transfer. [3]我们提出了一个一维行星模型，其中在贝叶斯反演方案中，内部与大气在辐射-对流平衡中耦合。 [1] 我们提出了一个行星模型，其中内部与贝叶斯检索方案中的大气相耦合。 [2] nan [3]
Text Retrieval Scheme
In this paper, a multi-keyword cipher-text retrieval scheme (MCR- SGEC) for smart grid edge computing is proposed, which can achieve accurate matching of index and trap door, and has low spatial complexity. [1] In order to use the powerful computing of cloud storage to realize resource sharing between relevant departments without revealing information of other unrelated departments, this paper proposes an encryption cipher text retrieval scheme based on fully homomorphic encryption enterprise cloud storage (ECRS), and designs an Enterprise-side security model. [2] The traditional ciphertext full-text retrieval scheme directly calculates the inner product of high-dimensional encryption vectors, which has a huge amount of computation. [3]本文提出了一种用于智能电网边缘计算的多关键字密文检索方案（MCR-SGEC），能够实现索引和陷门的精确匹配，且空间复杂度低。 [1] nan [2] nan [3]
Physical Retrieval Scheme
Our goal is to make it obvious for the reader that the focal point of our study is the question of how well moisture anomalies in the mid troposphere can be captured by IASI – given a quite standard physical retrieval scheme – and not on advancing retrieval methods. [1] Physical retrieval schemes applied to ash detected pixels suffer from a lack of knowledge of some basic microphysical and optical parameters needed to run the retrieval models. [2]我们的目标是让读者明白，我们研究的重点是 IASI 能在多大程度上捕获对流层中部的水分异常——给定一个相当标准的物理反演方案——而不是关于先进的反演方法。 [1] nan [2]
Jafar Retrieval Scheme
We show that uniform and random caching scheme which is originally proposed for decentralized coded caching by Maddah-Ali and Niesen, along with Sun and Jafar retrieval scheme which is originally proposed for PIR from replicated databases surprisingly result in the lowest normalized download cost. [1] We show that uniform and random caching scheme which is originally proposed for decentralized coded caching by Maddah- Ali and Niesen, along with Sun and Jafar retrieval scheme which is originally proposed for PIR from replicated databases surprisingly result in the lowest normalized download cost. [2]Phase Retrieval Scheme
Based on these documents, we introduce a two-phase retrieval scheme that first finds a set of candidate query results and then re-ranks these candidates with more expensive application-specific methods. [1] Particularly, as an effective phase retrieval scheme, the Kramers-Kronig (KK) receiver proposed recently has become a hot topic in fiber-optic communications for its high spectral efficiency and low requirement of continuous-wave-to-signal power ratio. [2]基于这些文档，我们引入了一种两阶段检索方案，该方案首先找到一组候选查询结果，然后使用更昂贵的特定于应用程序的方法对这些候选者进行重新排序。 [1] nan [2]
Three Retrieval Scheme
Three retrieval schemes of atmospheric parameters in microwave remote sensing based on DNN were performed in the study of bias correction of MWHTS observation and the retrieval of the atmospheric temperature and humidity profiles using MWHTS observations. [1] We will present the vertical distribution of ozone obtained from NOMAD-UVIS solar occultations and we will compare the results of three retrieval schemes. [2]在MWHTS观测偏差校正和MWHTS观测大气温湿度廓线反演研究中，开展了三种基于DNN的微波遥感大气参数反演方案。 [1] <p>我们将展示<strong>NOMAD-UVIS太阳掩星</strong>获得的<strong>臭氧</strong>垂直分布，并比较三种反演方案的结果。 [2]
Video Retrieval Scheme
In order to improve the accuracy and time efficiency of video retrieval schemes and recognition schemes, this article firstly proposes a segmentation and key frame extraction method for video behavior recognition, using a multi-time scale dual-stream network to extract video features, improving the efficiency and efficiency of video behavior detection. [1] In this paper, a new video retrieval scheme developed for retrieving videos from an extensive database with a video query. [2]为了提高视频检索方案和识别方案的准确率和时间效率，本文首先提出了一种视频行为识别的分割和关键帧提取方法，利用多时间尺度的双流网络提取视频特征，提高视频行为检测的效率和效率。 [1] 在本文中，开发了一种新的视频检索方案，用于通过视频查询从广泛的数据库中检索视频。 [2]