摘要：【中文】本发明公开了一种基于平面结构的紧凑型低耦合三极化MIMO天线，属于通信技术的天线领域，所述天线由两层介质板堆叠组成，所述上层介质板的顶面覆有主辐射体金属贴片，所述下层介质板的底面为接地金属板，所述两层介质板之间置有寄生金属贴片，所述上层介质板内部设有若干个连接寄生金属贴片和主辐射体金属贴片的第一金属过孔，所述两层介质板内部设有若干个连接主辐射体金属贴片和接地金属板的第二金属过孔。在所述天线的主辐射体金属贴片不同位置馈电，能够于同一频率实现三个正交极化。与已有的三极化MIMO天线相比，本发明具有更小的尺寸和更低的耦合，更适用于小型终端设备，更适用于构成天线阵列，也可以作为紧凑型大规模MIMO天线的单元。 【EN】The invention discloses a compact low-coupling triple-polarization MIMO antenna based on a planar structure, which belongs to the field of antennas of communication technologies and is formed by stacking two layers of dielectric plates, wherein a main radiator metal patch covers the top surface of an upper layer of dielectric plate, a grounding metal plate is arranged on the bottom surface of a lower layer of dielectric plate, a parasitic metal patch is arranged between the two layers of dielectric plates, a plurality of first metal through holes for connecting the parasitic metal patch and the main radiator metal patch are arranged in the upper layer of dielectric plate, and a plurality of second metal through holes for connecting the main radiator metal patch and the grounding metal plate are arranged in the two layers of dielectric plates. And feeding is carried out at different positions of the main radiator metal patch of the antenna, so that three orthogonal polarizations can be realized at the same frequency. Compared with the existing triple-polarization MIMO antenna, the triple-polarization MIMO antenna has smaller size and lower coupling, is more suitable for small-sized terminal equipment, is more suitable for forming an antenna array, and can also be used as a unit of a compact large-scale MIMO antenna.

摘要：【中文】本发明公开一种基于F‑P腔的四极化MIMO天线，包括金属地板，底层介质基板，第一、二激励天线，第三、四激励天线，介质腔，上层介质基板，周期性金属贴片；上层介质基板与周期性金属贴片共同组成部分反射表面；部分反射表面、介质腔与金属地板、底层介质基板共同构成F‑P腔；部分反射表面构成F‑P腔的一端，金属地板和底层介质基板构成F‑P腔的另一端；第一、二激励天线，第三、四激励天线设置于介质腔内部。其中第一、二激励天线激励形成一个双极化微带贴片天线；第三、四激励天线激励形成两个正交的电偶极子天线。本发明所提出的技术方案可以充分利用天线结构，获得一种紧凑型、多极化、高增益MIMO天线设计。 【EN】The invention discloses a quadrapole MIMO antenna based on an F-P cavity, which comprises a metal floor, a bottom layer dielectric substrate, a first excitation antenna, a second excitation antenna, a third excitation antenna, a fourth excitation antenna, a dielectric cavity, an upper layer dielectric substrate and a periodic metal patch, wherein the bottom layer dielectric substrate is arranged on the metal floor; the upper dielectric substrate and the periodic metal patch jointly form a part of reflecting surface; the partial reflection surface and the medium cavity, the metal floor and the bottom layer medium substrate jointly form an F-P cavity; the partial reflection surface forms one end of the F-P cavity, and the metal floor and the bottom layer medium substrate form the other end of the F-P cavity; the first excitation antenna, the second excitation antenna, the third excitation antenna and the fourth excitation antenna are arranged in the dielectric cavity. The first excitation antenna and the second excitation antenna are excited to form a dual-polarized microstrip patch antenna; the third and the fourth excitation antennas are excited to form two orthogonal electric dipole antennas. The technical scheme provided by the invention can fully utilize the antenna structure to obtain a compact multi-polarization high-gain MIMO antenna design.

摘要：【中文】本发明提供了一种音乐生成方法、装置及电子设备，该方法包括：采集目标对象的虹膜图像，并根据虹膜图像计算目标对象在当前时刻的情绪参数；根据当前时刻的情绪参数调整当前时刻的前一时刻对应的音乐风格，得到当前时刻的音乐风格；将当前时刻的音乐风格输入至音乐生成网络，得到音乐生成网络针对当前时刻的音乐风格输出的情绪调节音乐，用以调节目标对象在当前时刻的情绪。本发明可以有效提高音乐对用户情绪的调节效果。 【EN】The invention provides a music generation method, a device and electronic equipment, wherein the method comprises the following steps: acquiring an iris image of a target object, and calculating an emotional parameter of the target object at the current moment according to the iris image; adjusting the music style corresponding to the previous moment of the current moment according to the emotion parameters of the current moment to obtain the music style of the current moment; and inputting the music style at the current moment into a music generation network to obtain emotion adjusting music output by the music generation network according to the music style at the current moment so as to adjust the emotion of the target object at the current moment. The invention can effectively improve the effect of music on adjusting the emotion of the user.

摘要：【中文】本发明提供一种结合记忆遗忘和记忆增强的用户兴趣分析方法及系统，包括：通过遗忘系数和增强系数结合收视行为指标构建兴趣模型；采集用户的收视数据，获得用户在设定时间段的单位时间的收视行为指标，所述单位时间为一个时刻；通过用户收视行为指标在设定时间段内的衰减规律获得遗忘系数；通过用户收视行为指标在设定时间段内的重复获得增强系数；将上述用户在设定时间段的收视行为指标、遗忘系数和增强系数输入兴趣模型，获得用户的兴趣值。上述方法及系统将记忆遗忘和记忆增强过程相融合，能够更加精准地获得用户兴趣。 【EN】The invention provides a user interest analysis method and a system combining memory forgetting and memory enhancement, which comprise the following steps: establishing an interest model by combining a forgetting coefficient and an enhancing coefficient with a viewing behavior index; collecting viewing data of a user to obtain a viewing behavior index of the user in unit time of a set time period, wherein the unit time is a moment; obtaining a forgetting coefficient through the attenuation rule of the user viewing behavior index in a set time period; obtaining an enhancement coefficient through repetition of the user viewing behavior index in a set time period; and inputting the viewing behavior index, the forgetting coefficient and the enhancement coefficient of the user in a set time period into an interest model to obtain the interest value of the user. The method and the system fuse the memory forgetting process and the memory enhancing process, and can more accurately obtain the user interest.

摘要：【中文】本公开涉及一种影视作品的信息预测方法及系统，所述方法包括：根据待预测的第一形象信息以及预设的形象关联模型，确定所述第一形象信息与多个作品属性信息之间的第一关联指数，所述形象关联模型用于表示影视作品的多个作品属性信息与多个形象信息之间的关联性；根据所述第一关联指数，确定与所述第一形象信息匹配的第一影视作品的第一作品属性信息。本公开的实施例可以提高影视作品的信息预测的针对性和可靠性。 【EN】The present disclosure relates to a method and a system for predicting movie and television works information, wherein the method comprises the following steps: determining a first association index between first image information and a plurality of pieces of work attribute information according to the first image information to be predicted and a preset image association model, wherein the image association model is used for expressing the association between the plurality of pieces of work attribute information and the plurality of pieces of image information of the film and television works; and determining first work attribute information of the first film and television work matched with the first image information according to the first association index. The embodiment of the disclosure can improve the pertinence and reliability of information prediction of film and television works.

摘要：【中文】本公开涉及一种信息传播预测方法、系统及存储介质，所述方法包括：根据信息传播网络中第一节点与第二节点之间的预设传播参数，以及待预测的目标信息从第一节点传播到第二节点的预设时长，确定目标信息从第一节点传播到第二节点的第一传播概率；根据目标信息从与第二节点连接的各个节点传播到第二节点的第一传播概率，确定目标信息传播到第二节点的第二传播概率；根据多个节点的第二传播概率，确定目标信息在信息传播网络中的传播预测结果。根据本公开实施例的信息传播预测方法能够提高目标信息在网络中传播预测的可靠性。 【EN】The present disclosure relates to an information propagation prediction method, system, and storage medium, the method comprising: determining a first propagation probability of the target information from the first node to the second node according to a preset propagation parameter between the first node and the second node in the information propagation network and a preset time length for the target information to be predicted to be propagated from the first node to the second node; determining a second propagation probability of the target information propagating to the second node according to the first propagation probability of the target information propagating to the second node from each node connected with the second node; and determining a propagation prediction result of the target information in the information propagation network according to the second propagation probabilities of the plurality of nodes. According to the information propagation prediction method disclosed by the embodiment of the disclosure, the reliability of target information propagation prediction in a network can be improved.

摘要：【中文】本申请提供一种视频处理方法、装置、电子设备及可读存储介质。方法包括：将获取的语料内容输入完成训练的滑动窗口深度学习模型中；根据目标面部模型、语料内容的第一音素序列，通过滑动窗口深度学习模型生成目标面部模型的视频图像，视频图像的口型与语料内容的发音口型相对应。在本方案中，通过利用滑动窗口深度学习模型来对语料内容进行识别处理，从而得到与语料内容的发音口型相对应的视频图像，有利于提高语音动画制作的效率低，降低制作成本。 【EN】The application provides a video processing method, a video processing device, an electronic device and a readable storage medium. The method comprises the following steps: inputting the acquired corpus content into a sliding window deep learning model which completes training; and generating a video image of the target face model through the sliding window deep learning model according to the target face model and the first phoneme sequence of the corpus content, wherein the mouth shape of the video image corresponds to the pronunciation mouth shape of the corpus content. In the scheme, the text content is identified by utilizing the sliding window deep learning model, so that the video image corresponding to the pronunciation mouth shape of the text content is obtained, the efficiency of voice animation production is favorably improved, and the production cost is reduced.

摘要：【中文】本公开涉及一种作品传播预测方法、装置及存储介质，所述方法包括：根据多个用户针对待预测的目标作品的行为状态，确定多个用户处于各个行为状态的行为状态密度，行为状态包括未接触状态以及接触状态；根据多个用户针对多个类别的作品的用户偏好信息，以及针对第一类别的作品的历史行为信息，分别确定各个用户针对目标作品的行为转换概率，第一类别为目标作品所属的类别；根据行为状态密度以及行为转换概率，确定目标作品的传播预测结果。根据本公开的实施例的作品传播预测方法能够提高作品传播预测的准确性。 【EN】The present disclosure relates to a work propagation prediction method, apparatus, and storage medium, the method comprising: determining the behavior state density of a plurality of users in each behavior state according to the behavior states of the plurality of users aiming at the target work to be predicted, wherein the behavior states comprise an untouched state and a contact state; respectively determining behavior conversion probability of each user for a target work according to user preference information of a plurality of users for works of a plurality of categories and historical behavior information of the first category of works, wherein the first category is a category to which the target work belongs; and determining a propagation prediction result of the target work according to the behavior state density and the behavior conversion probability. According to the work propagation prediction method disclosed by the embodiment of the disclosure, the accuracy of the work propagation prediction can be improved.

摘要：【中文】本发明属于网络能耗计算领域，具体涉及了一种边缘缓存网络能量消耗计算方法、系统、装置，旨在解决现有技术仅考虑边缘缓存网络节能而不能计算网络能量消耗的问题。本发明包括：获取CDN到ECS的核心路由器、边缘路由器数量及能耗、宽带网络网关能耗、以太网交换机能耗、ECS的工作功率及存储能力；计算设定大小文件从CDN到ECS的能耗以及ECS的单位存储能耗；计算设定大小文件在ECS中缓存设定时间的能耗；两种能耗之和为边缘缓存网络总能耗。本发明不仅考虑了服务器正常工作的能耗，还考虑了内容更新导致的网络传输能耗，计算的能耗可以更加全面准确地反映边缘缓存网络的能耗特性，从而进行策略优化，合理节约能耗，应用范围广。 【EN】The invention belongs to the field of network energy consumption calculation, and particularly relates to a method, a system and a device for calculating energy consumption of an edge cache network, aiming at solving the problem that the energy consumption of the edge cache network cannot be calculated only by considering energy conservation of the edge cache network in the prior art. The invention comprises the following steps: acquiring the quantity and energy consumption of core routers and edge routers from the CDN to the ECS, the energy consumption of a broadband network gateway, the energy consumption of an Ethernet switch and the working power and storage capacity of the ECS; calculating the energy consumption of the file with the set size from the CDN to the ECS and the unit storage energy consumption of the ECS; calculating the energy consumption of the set time of the file with the set size cached in the ECS; the sum of the two kinds of energy consumption is the total energy consumption of the edge cache network. The invention not only considers the energy consumption of normal work of the server, but also considers the energy consumption of network transmission caused by content updating, and the calculated energy consumption can more comprehensively and accurately reflect the energy consumption characteristics of the edge cache network, thereby optimizing the strategy, reasonably saving the energy consumption and having wide application range.

摘要：【中文】本发明公开了一种基于语篇的人物属性抽取方法，包括如下步骤：S101：制定以篇章知识为指导逐级分类的人物属性抽取策略，利用传记类文本往往开篇点题，确定以人名为标准两分文本，分成被抽取人物为主要叙述对象文本和被抽取人物为非主要叙述对象文本；S102：对于被抽取人物为主要叙述对象文本，首先将文档中所有句子分成有属性标记句和无属性标记句，无属性标记句抛弃；S103：有属性标记句再按是否含有多个描述人物为标准两分，分成单人物句和多人物句；S104：单人物句只需确认该句中的人物是否被抽取人物，是则确认归属，否则抛弃。本发明简化了分析手续，对准确度的提高起到了积极的作用。 【EN】The invention discloses a character attribute extraction method based on language fragments, which comprises the following steps: s101: establishing a character attribute extraction strategy which takes discourse knowledge as guidance for step-by-step classification, determining bipartite texts taking names as standards by utilizing frequently-opened point questions of biographical texts, and dividing the bipartite texts into texts taking extracted characters as main narration objects and texts taking the extracted characters as non-main narration objects; s102: for the text with the extracted characters as the main narration objects, firstly, dividing all sentences in the document into attribute-marked sentences and attribute-free marked sentences, and discarding the attribute-free marked sentences; s103: dividing the attribute marked sentences into single character sentences and multi-character sentences according to whether a plurality of descriptive characters are contained or not; s104: the single character sentence only needs to confirm whether the characters in the sentence are extracted, if yes, attribution is confirmed, and if not, the single character sentence is discarded. The invention simplifies the analysis procedure and plays a positive role in improving the accuracy.