shape

摘要： Natural gas hydrates can readily form in deep-water oil production processes and pose a great threat to the oil industry.Moreover,the coexistence of hydrate and asphaltene can result in more severe challenges to subsea flow assurance.In order to study the effects of asphaltene on hydrate growth at the oil-water interface,a series of micro-experiments were conducted in a self-made reactor,where hydrates nucleated and grew on the surface of a water droplet immersed in asphaltene-containing oil.Based on the micro-observations,the shape and growth rate of the hydrate shell formed at the oil-water interface were mainly investigated and the effects of asphaltene on hydrate growth were analyzed.According to the experimental results,the shape of the water droplet and the interfacial area changed significantly after the formation of the hydrate shell when the asphaltene concentration was higher than a certain value.A mechanism related to the reduction of the interfacial tension caused by the absorption of asphaltenes on the interface was proposed for illustration.Moreover,the growth rate of the hydrate shell decreased significantly with the increasing asphaltene concentration under experimental conditions.The conclusions of this paper could provide preliminary insight how asphaltene affect hydrate growth at the oil-water interface.

摘要： Nanomaterials have been widely applied to many fields because of their excellent photocatalytic performance.The performance is closely related to the catalytic kinetics,but it is not completely clear about the influencing regularities of shape and particle size on the photocatalytic kinetics of nanomaterials and the photocatalytic kinetic mechanism.In this paper,nano-CeO_(2)with different shapes and particle sizes were prepared,the kinetic parameters of adsorption and photocatalytic degradation were determined,and the effects of shape and particle size on the kinetics of adsorption and photocatalysis and photocatalytic mechanism were discussed.The results show that the shape and particle size have significant influences.With the decreases of diameter,the performances of adsorption and photocatalysis of nano-CeO_(2)are improved;and these performances of spherical nano-CeO_(2)are greater than those of linear nano-CeO_(2).The shape and particle size have no effects on the kinetic order and mechanism of the whole photocatalytic process.Then a generalized mechanism of photocatalytic kinetics of nanomaterials was proposed and the mechanism rate equation was derived.Finally,the conclusion can be drawn:the desorption of photodegradation products is the control step of photocatalytic kinetics,and the kinetic order of photocatalytic degradation reaction is 1.The mechanism is universal and all nanomaterials have the same photocatalytic kinetic mechanism and order.

摘要： Shape memory materials(SMMs)are smart materials that can remember and recover substantial programmed deformation upon activation and exposure to an external stimulus such as temperature,magnetic field,electric field,pH value,and UV light.They can be used comfortably with human skin because of their low weight and softness.The application of both alloys and polymers of SMMs in textile has gained momentum to shape memory smart textiles and they have been used in many areas of textiles.The shape memory polymers have a wider application in textile applications and polymers are more advantageous than alloys in terms of their ease of use,aesthetics,and price.

摘要： Circadian clocks temporally coordinate physiology and align it with geophysical time,which enables diverse life-forms to anticipate daily environmental cycles.In complex organisms,clock function originates from the molecular oscillator within each cell and builds upward anatomically into an organism-wide system.Recent advances have transformed our understanding of how clocks are connected to achieve coherence across tissues.Circadian misalignment,often imposed in modern society,disrupts coordination among clocks and has been linked to diseases ranging from metabolic syndrome to cancer.

摘要： 针对S-57海图读取转换复杂的问题,文中在分析S-57海图数据特点的基础上,重点研究了S-57海图数据内容解译,以及与基础地理信息数据的对应关系,设计了基于FME的数据转换流程,有效降低了S-57海图数据直接转换为基础地理信息数据的难度,为S-57海图数据在数字地图中的高效应用提供了技术支撑.

摘要： Background The corpus callosum(CC)is the most targeted region in the cerebrum that integrates cognitive data between homologous areas in the right and left hemispheres.Aims Our study used statistical analysis to determine whether there was a correlation between shape changes in the CC in patients with schizophrenia(SZ)(deficit syndrome(DS)and non-deficit syndrome(NDS))and healthy control(HC)subjects.Methods This study consisted of 27 HC subjects and 50 schizophrenic patients(20 with DS and 30 with NDS).3 patients with DS and 4 patients with NDS were excluded.Three-dimensional,sagittal,T1-spoiled,gradient-echo imaging was used.Standard anatomical landmarks were selected and marked on each image using specific software.results As to comparing the Procrustes mean shapes of the CC,statistically significant differences were observed between HC and SZ(DS+NDS)(p=0.017,James’s Fj=73.732),HC and DS(p<0.001,James’s Fj=140.843),HC and NDS(p=0.006,James’s Fj=89.178)and also DS and NDS(p<0.001,James’s Fj=152.967).Shape variability in the form of CC was 0.131,0.085,0.082 and 0.086 in the HC,SZ(DS+NDS),DS and NDS groups,respectively.Conclusions This study reveals callosal shape variations in patients with SZ and their DS and NDS subgroups that take into account the CC’s topographic distribution.

摘要： were randomly selected to observe theirhair color,hair density,hair shape,hairline shape,hair whorl,and hair diameter on head-hair.The resultsshowed that most college students’hair color was black.Boys mainly had black hair,while girls with brown hairwere more prevalent.

摘要： 本文主要介绍了Android自定义切换按钮组件的实现过程,从组件的外观设计到代码的实现进行了详细的介绍,最后介绍了该组件的应用.

摘要： Dear Editor,Since calcium imaging can simultaneously record the calcium signals of several hundred neurons, it has been a powerful tool in measuring the functional activity of neural populations. However, calcium imaging is an indirect measurement of neuronal firing activity, and this technique requires reconstructing the AP trains from the corresponding calcium fluorescence signals of the recorded neurons.

摘要： 本发明公开了一种基于信息累积k‑Shape聚类算法的累积负荷预测方法，包括：根据用电负荷曲线的形状特征，执行k‑Shape聚类；再转化成为用户之间负荷曲线的相似性矩阵和距离矩阵；在距离矩阵上获得刻画每个用户之间距离的分层结构；选择不同的聚类个数得到对用户不同的集群划分，训练学习模型，对用户的累积负荷进行概率性和确定性预测；确定每种集群划分的概率性和确定性预测累积负荷预测结果的权重，并将其组合为最终的累积负荷预测结果。本发明提出了较为全面地涵盖用户用电负荷的形状信息，而不依赖于提取特征；有利于用户用电特征的描述；实现了累积负荷预测的集成学习，以及概率性和确定性预测准确度的提高。

摘要： 本发明公开了一种基于时序数据LSTM特征的K‑Shape聚类方法，属于数据挖掘技术领域，包括以下步骤：S1：收集时间序列数据样本并预处理；S2：建立并训练长短期记忆模型，输出时序动态特征数据；S3：利用手肘法和轮廓法计算出聚类的最佳聚类K值；S4：建立K‑Shape聚类模型并输出结果。本发明使用LSTM模型获取时序数据的动态特征并进行K‑Shape聚类能更好的解决如K‑均值聚类等一般聚类在对复杂时序数据的聚类结果不明确的问题，并且得出时序数据的变化趋势聚类结果；同时利用LSTM在K‑Shape聚类之前提取数据的时序特征额外地增加了聚类结果的准确性，鲁棒性和泛用能力。

摘要： 本发明提出了一种基于Shape‑GIoU改进的聚类算法，弥补了原始GIoU中会退化为IoU的问题，通过引入一个比例系数λ/β，将两框宽高比的影响引入公式，可以解决GIoU会退化的问题，考虑了两框非覆盖面积以及宽高比的影响，使YOLOv4算法的检测性能有了部分提升；首先构建数据集并对样本数据预处理；其次将提出的Shape‑GIoU方法引入到K‑means++聚类方法中，然后将所得anchor值对原版YOLOv4算法的cfg文件中的anchor进行替换；最后对比使用K‑means++聚类方法的YOLOv4算法模型，分析测试结果；本发明提出的基于Shape‑GIoU改进的聚类算法相比K‑means++聚类算法，可以解决GIoU会退化的问题，考虑了非覆盖面积以及宽高比的影响，提升了YOLOv4算法模型的检测精度和召回率；另外本发明方法仍然能够在其他经典算法模型结合使用，并提升算法模型的检测性能。

摘要： 本发明公开了一种基于时间序列聚类算法(k‑Shape)的织物纤维成分定性方法，用以解决织物纤维成分的近红外光谱数据难以分类的问题。该方法为：使用近红外设备采集各类别织物纤维成分；对数据进行清洗、预处理和存储；基于k‑Shape聚类算法计算提取各类别织物纤维成分数据的特征形状；基于距离测度SBD(Shape‑baseddistance)计算样本数据与各类别织物纤维成分特征数据的簇內差和簇间差，完成对织物纤维成分的实时定性检测。该方法能实现对织物纤维成分的快速定性分析，且准确率高，直观，可解释性强。

摘要： 本发明属于功能磁共振信号处理技术领域，特别涉及一种基于Shape‑Resnet的大脑中高级视觉区信号处理方法及系统，包含：构建视觉编码模型，该模型包含：用于提取刺激图像特征的神经网络和用于将图像特征映射到预测fMRI信号的线性回归模型，其中，神经网络模型为利用已有数据集已完成形状特征训练学习的深度卷积神经网络模型；利用样本数据对视觉编码模型进行训练优化；利用优化后的视觉编码模型对目标大脑中高级视觉区信号进行预测，以分析外部视觉刺激时目标大脑中高级视觉区信号变化过程。本发明用学习形状特征的深度网络来构建高级视觉区的视觉编码模型，提升中高级视觉区大脑信号分析预测效果。

摘要： 本发明公开了一种基于信息累积k‑Shape聚类算法的累积负荷预测方法，包括：根据用电负荷曲线的形状特征，执行k‑Shape聚类；再转化成为用户之间负荷曲线的相似性矩阵和距离矩阵；在距离矩阵上获得刻画每个用户之间距离的分层结构；选择不同的聚类个数得到对用户不同的集群划分，训练学习模型，对用户的累积负荷进行概率性和确定性预测；确定每种集群划分的概率性和确定性预测累积负荷预测结果的权重，并将其组合为最终的累积负荷预测结果。本发明提出了较为全面地涵盖用户用电负荷的形状信息，而不依赖于提取特征；有利于用户用电特征的描述；实现了累积负荷预测的集成学习，以及概率性和确定性预测准确度的提高。

摘要： 本发明公开了一种基于SPH与shape matching混合模型的动态流固交互仿真方法，涉及基于物理的流固交互仿真技术领域，对动态流固交互仿真场景中的固体粒子集和流体粒子集进行归一化处理，除去了不同粒子集之间的邻域搜索，并对合并后的固体位形变化计算进行了优化，适用于多种SPH方法，同时保证了仿真的精度和稳定性，绘制结果显示可高效、清晰、准确地表现流体和固体的动力学特性。

摘要： 本发明涉及一种基于L‑shape算法含储能的能量与一次调频服务市场联合优化出清方法，建立含储能的系统动态频率响应特性，根据响应特性曲线建立频率动态可靠性指标函数，根据系统动态频率特性建立含储能的能量与一次调频服务市场联合优化出清模型、基于L‑shape算法将优化模型分解为主问题和子问题，并使两问题之间建立Benders割、求解主问题和子问题、将生成的最新优化割返回主问题重新进行优化计算，得到新的可行解，利用最新生成的优化割不断向提升系统频率响应能力的方向迭代，直至所有时段均满足频率安全约束条件。该方法有效提高在大规模可再生能源并网的情况下系统频率安全稳定性，提高电力现货市场运行效率，加快储能在电力市场化机制下的商业化运营。

摘要： 本发明公开了一种基于改进的Alpha Shapes算法的地面激光点云建筑物轮廓线提取方法，其特征在于，包括如下步骤：(1)首先基于RANSAC算法进行建筑物的立面分割，得到多个相对独立的建筑物立面点云；(2)根据每个平面的点集建立Delaunay三角网；(3)设置Alpha shapes算法中检测圆的半径R，设置为1～2倍的平均点间距；(4)若三角形中某条边的长度大于2R，则删除该三角形；(5)对三角形的每条边进行判断：若过某条边的两点且半径为R的圆包含其他点，则删除该三角形；(6)在所得到的三角网上求出三角网的边缘；(7)进行点云面片的合并从而得到完整的建筑物轮廓线。本发明具有效率高、稳定性好等优点。

摘要： 本发明公开了一种基于SPH与shape matching混合模型的动态流固交互仿真方法，涉及基于物理的流固交互仿真技术领域，对动态流固交互仿真场景中的固体粒子集和流体粒子集进行归一化处理，除去了不同粒子集之间的邻域搜索，并对合并后的固体位形变化计算进行了优化，适用于多种SPH方法，同时保证了仿真的精度和稳定性，绘制结果显示可高效、清晰、准确地表现流体和固体的动力学特性。