摘要：【中文】本发明公开了一种多载波差分混沌移位键控系统PAPR的方法及发射结构，方法包括对输入信号进行排序、对已调信号与混沌信号相乘后的信号进行分组传输、同时引入CI码对信号进行扩展，发射结构包括混沌信号发生器、归一化处理器、输入信号模块、信号编码器、PSK调制器、串并转换器、N个调制乘法器、CI码编码器、逆傅立叶处理器。本发明与现有的多载波差分混沌移位键控系统下方法相比，可以忽略调制信号进制对系统峰均比的影响，并且降低系统峰均比的效果更加明显。 【EN】The invention discloses a PAPR method and a transmitting structure of a multi-carrier differential chaotic shift keying system, wherein the PAPR method comprises the steps of sequencing input signals, carrying out grouping transmission on signals obtained by multiplying modulated signals and chaotic signals, and introducing CI codes to expand the signals, and the transmitting structure comprises a chaotic signal generator, a normalization processor, an input signal module, a signal encoder, a PSK modulator, a serial-parallel converter, N modulation multipliers, a CI code encoder and an inverse Fourier processor. Compared with the existing method under the multi-carrier differential chaotic shift keying system, the method can ignore the influence of the modulation signal system on the peak-to-average power ratio of the system and has more obvious effect of reducing the peak-to-average power ratio of the system.

摘要：【中文】本发明涉及了一种基于电子合同的联盟链身份认证方法，将电子合同融入到认证过程中，当有新的用户节点想要加入联盟链时，新的用户节点需要提交与它相关的详细信息，这些信息提交之后会发放给当前联盟链中所有用户节点，联盟链中的所有用户节点会对信息进行审核并提出自己的意见，然后平台将当前联盟链中所有用户节点的审核意见整合分析，得出最后审核结果，若综合审核结果通过，平台会生成一份与新加入用户节点相关的联盟链生存合同(即电子合同)，同时该生存合同需要联盟链中所有用户节点和新加入用户节点的具有法律效益的唯一标记，最后平台会将具有所有用户节点标记的生存合同生存用户节点数份的副本，让每一个用户节点都保存一份该合同副本，此时认证过程就完毕。 【EN】The invention relates to a alliance chain identity authentication method based on electronic contract, which integrates the electronic contract into the authentication process, when a new user node wants to join the alliance chain, the new user node needs to submit detailed information related to the new user node, the information is submitted and then is issued to all user nodes in the current alliance chain, all user nodes in the alliance chain can audit the information and propose own opinions, then a platform integrates and analyzes the audit opinions of all user nodes in the current alliance chain to obtain the final audit result, if the comprehensive audit result passes, the platform can generate an alliance chain survival contract (namely the electronic contract) related to the newly joined user node, meanwhile, the survival contract needs the unique mark with legal benefit of all user nodes in the alliance chain and the newly joined user node, and finally the platform can copy the number of the survival contract user nodes with the mark of all user nodes, each user node saves a copy of the contract, and the authentication process is finished at the moment.

摘要：【中文】本发明提出了一种光电式柔性触觉传感器及其制备方法，包括光线传感模块、柔性基材、光源、开发板、可调稳压电源模块、辅助装置及玻璃片。本发明通过结合柔性基材受到外力挤压时产生透光性的变化，可以准确地检测接触力的大小，并且根据接触力‑光强度数据进行函数曲线拟合以增加其测量的准确性和实时性。 【EN】The invention provides a photoelectric flexible touch sensor and a preparation method thereof. According to the invention, by combining the light transmittance change generated when the flexible base material is extruded by an external force, the size of the contact force can be accurately detected, and the function curve fitting is carried out according to the contact force-light intensity data so as to increase the accuracy and the real-time property of the measurement.

摘要：【中文】本发明提出了物联网领域内的一种基于张量化数据降维的工业设备故障检测分类方法，包括以下步骤：1）数据获取：采用各类型传感器进行数据采集，为预测提供数据来源，数据包括工业设备生产过程中的运行参数等结构化数据以及运作时的视频或图像等非结构化数据；2）数据预处理：对不同结构的数据进行融合，并对融合好的数据进行降维；3）数据分析：利用服务端的堆叠去噪自编码器，在经过大量数据进行训练后，得以根据生产过程周围传感器发送的数据对工业设备的生产状况进行健康检测，本发明提高了处理的效率，增加了检测结果的准确性。 【EN】The invention provides a tensor data dimension reduction-based industrial equipment fault detection and classification method in the field of Internet of things, which comprises the following steps of: 1) data acquisition: various sensors are adopted for data acquisition, so that data sources are provided for prediction, and the data comprises structured data such as operation parameters in the production process of industrial equipment and unstructured data such as videos or images during operation; 2) data preprocessing: fusing data of different structures, and reducing the dimension of the fused data; 3) and (3) data analysis: the method and the system have the advantages that the stack denoising autoencoder of the server is utilized, after a large amount of data are trained, the production condition of the industrial equipment can be detected healthily according to the data sent by the sensors around the production process, the processing efficiency is improved, and the accuracy of the detection result is improved.

摘要：【中文】本发明公开了一种基于螺芴氧杂蒽双边取代咔唑的化合物、有机纳米晶体材料及制备方法和应用，该化合物是由螺芴氧杂蒽基团和咔唑基团组成的同分异构体分子，结构式如下：本发明设计并合成了一种基于螺芴氧杂蒽(SFX)2’,7’位双边取代咔唑(Cz)的化合物，并利用重沉淀方法制备纳米晶体材料，通过调控化合物在结晶过程中的过饱和度来实现纳米晶体形貌的精确控制，实现了二维菱形结构的纳米片到一维棒状结构的纳米棒的形貌转变。 【EN】The invention discloses a compound based on spirofluorene xanthene bilateral substituted carbazole, an organic nanocrystal material, a preparation method and application thereof, wherein the compound is an isomer molecule consisting of spirofluorene xanthene groups and carbazole groups, and the structural formula is as follows:the invention designs and synthesizes a compound based on spirofluorene xanthene (SFX) 2', 7' -position bilateral substituted carbazole (Cz), prepares a nanocrystal material by utilizing a re-precipitation method, realizes accurate control of nanocrystal morphology by regulating and controlling supersaturation degree of the compound in the crystallization process, and realizes the shape from a nanosheet with a two-dimensional diamond structure to a nanorod with a one-dimensional rod-like structureAnd (4) changing appearance.

摘要：【中文】本发明公开了一种全局与局部特征嵌入及图文融合的情感分析方法与系统，该方法首先利用卷积神经网络提取图像的全局特征，同时利用迁移学习训练目标检测模型，对图像中携带情感的局部区域进行检测定位，提取局部区域特征并嵌入到全局特征共同训练图像情感分类模型，得到图像的情感极性概率。接着将文本表示为包含丰富语义信息的词向量，输入到可提取文本语义上下文特征的双向LSTM进行情感分类，得到文本的情感的极性概率。最后根据后期融合公式，得到图像及文本融合后的情感极性概率，进行图文情感分析。本发明能有效的关注图文的情感信息，并通过图像的全局与局部情感特征的提取以及文本信息的融合，提高图文情感分类的准确性和鲁棒性。 【EN】The invention discloses a global and local feature embedding and image-text fusion emotion analysis method and system. And then, expressing the text as a word vector containing rich semantic information, inputting the word vector into a bidirectional LSTM capable of extracting text semantic context characteristics for emotion classification, and obtaining the polarity probability of the emotion of the text. And finally, obtaining the emotion polarity probability after the image and the text are fused according to a later-stage fusion formula, and carrying out image-text emotion analysis. The invention can effectively focus on the emotion information of the image and text, and improves the accuracy and robustness of image and text emotion classification by extracting global and local emotion characteristics of the image and fusing text information.

摘要：【中文】本发明公开了自旋电子学元器件技术领域的一种单层二硫化钼能谷协调的单极型自旋二极管，旨在解决现有技术中的微电子产业受制于器件功耗增大和制造成本增加，导致其集成度遭遇瓶颈的技术问题。所述自旋二极管包括由掺杂半导体材料与衬底材料融合形成的第一异质结和第二异质结，第一异质结与第二异质结相接触构成PN结，融合形成第一异质结或/和第二异质结的衬底材料为铁磁绝缘体，所述半导体为单层二硫化钼。 【EN】The invention discloses a single-layer molybdenum disulfide energy-valley coordinated unipolar spin diode in the technical field of spin electronic components, and aims to solve the technical problem that the integration degree of the microelectronic industry in the prior art is subjected to bottleneck due to the fact that the power consumption of the device is increased and the manufacturing cost is increased. The spin diode comprises a first heterojunction and a second heterojunction which are formed by fusing a doped semiconductor material and a substrate material, wherein the first heterojunction and the second heterojunction are in contact to form a PN junction, the substrate material fused to form the first heterojunction or/and the second heterojunction is a ferromagnetic insulator, and the semiconductor is single-layer molybdenum disulfide.

摘要：【中文】本发明公开了一种基于水银热胀冷缩调控的频带转移吸波器，包括底部的水银储存槽，所述水银储存槽的上方具有由水银贴片及玻璃腔构成的谐振单元，所述水银贴片包括十字形水银环贴片及所述十字形水银环贴片四周的十字形水银贴片，所述十字形水银环贴片的中心设有十字形玻璃腔，所述十字形玻璃腔下表面中心通过圆柱通孔与底面水银储存槽上表面中心连通。本发明通过温度场的调控，利用长方体储存槽内水银的热胀冷缩，改变水银谐振单元的数量和形状，实现了吸波性能的可调节特性。 【EN】The invention discloses a frequency band transfer wave absorber based on mercury thermal expansion and cold contraction regulation, which comprises a mercury storage tank at the bottom, wherein a resonance unit consisting of a mercury patch and a glass cavity is arranged above the mercury storage tank, the mercury patch comprises a cross mercury ring patch and cross mercury patches arranged around the cross mercury ring patch, a cross glass cavity is arranged in the center of the cross mercury ring patch, and the center of the lower surface of the cross glass cavity is communicated with the center of the upper surface of the mercury storage tank at the bottom through a cylindrical through hole. According to the invention, the quantity and the shape of the mercury resonance units are changed by regulating and controlling the temperature field and utilizing the expansion and contraction of mercury in the cuboid storage tank, so that the characteristic of adjustable wave absorption performance is realized.

摘要：【中文】本发明提出了一种多接入边缘计算的资源分配算法，包括以下步骤：步骤1）计算待卸载的计算任务的能量消耗和时间消耗；步骤2）联合计算待卸载的计算任务的总成本消耗；步骤3）基于用户的本地计算能力和延迟要求的优先级参数选择合适的计算方，计算方包括：本地终端、MEC服务器以及核心网，本发明根据本地计算能力和延迟要求给每个用户设置优先级，优先级高的用户可以优先卸载和选择传输条件较好的信道，以获得最小的总成本消耗。 【EN】The invention provides a resource allocation algorithm for multi-access edge calculation, which comprises the following steps: step 1) calculating the energy consumption and time consumption of a calculation task to be unloaded; step 2) jointly calculating the total cost consumption of the calculation tasks to be unloaded; step 3) selecting a proper calculator based on the local calculation capacity of the user and the priority parameter of the delay requirement, wherein the calculator comprises the following steps: the invention relates to a local terminal, an MEC server and a core network, which set priority for each user according to local computing capacity and delay requirement, and the user with high priority can unload and select the channel with better transmission condition in priority to obtain the minimum total cost.

摘要：【中文】本发明提供了一种基于回归树分类的双重映射学习压缩人脸图像复原方法。在训练阶段，首先将得到的残差人脸图像不重叠分块，对应位置压缩图像块向外扩展后分块构成训练样本集；再对每个压缩图像块进行二次重叠分块，对得到的每个子块进行多维特征提取再进行回归树分类；通过分类结果引导压缩图像块进行全局回归和多局部线性回归的双重映射；得到的双重映射作为压缩图像块和残差图像块之间的非线性回归模型；将上述模型应用到待清晰的图像块中，得到复原后的残差图像块；按照位置顺序将残差图像块无重叠拼接后再加上压缩图像，得到最终复原后的清晰人脸图像。 【EN】The invention provides a regression tree classification-based dual-mapping learning compressed face image restoration method. In the training stage, firstly, the obtained residual face image is partitioned in a non-overlapping way, and compressed image blocks at corresponding positions are expanded outwards and then partitioned to form a training sample set; performing secondary overlapping blocking on each compressed image block, performing multi-dimensional feature extraction on each obtained subblock, and performing regression tree classification; guiding the compressed image blocks to carry out double mapping of global regression and multiple local linear regression through the classification result; the obtained double mapping is used as a nonlinear regression model between the compressed image block and the residual image block; applying the model to an image block to be clarified to obtain a restored residual image block; and splicing the residual image blocks in a non-overlapping manner according to the position sequence, and then adding the compressed images to obtain the final restored clear face image.