Secondary cell with orthorhombic alkali metal/manganese oxide phase
active cathode material
    3.
    发明授权
    Secondary cell with orthorhombic alkali metal/manganese oxide phase active cathode material 失效
    二次电池与正交碱金属/锰氧化物相活性阴极材料

    公开(公告)号:US5558961A

    公开(公告)日:1996-09-24

    申请号:US259658

    申请日:1994-06-13

    摘要: An alkali metal manganese oxide secondary cell is disclosed which can provide a high rate of discharge, good cycling capabilities, good stability of the cathode material, high specific energy (energy per unit of weight) and high energy density (energy per unit volume). The active material in the anode is an alkali metal and the active material in the cathode comprises an orthorhombic alkali metal manganese oxide which undergoes intercalation and deintercalation without a change in phase, resulting in a substantially linear change in voltage with change in the state of charge of the cell. The active material in the cathode is an orthorhombic structure having the formula M.sub.x Z.sub.y Mn.sub.(1-y) O.sub.2, where M is an alkali metal; Z is a metal capable of substituting for manganese in the orthorhombic structure such as iron, cobalt or titanium; x ranges from about 0.2 in the fully charged state to about 0.75 in the fully discharged state, and y ranges from 0 to 60 atomic %. Preferably, the cell is constructed with a solid electrolyte, but a liquid or gelatinous electrolyte may also be used in the cell.

    摘要翻译: 公开了可以提供高放电率,良好的循环能力,良好的阴极材料稳定性,高比能(单位重量的能量)和高能量密度(每单位体积能量)的碱金属氧化锰二次电池。 阳极中的活性物质是碱金属,阴极中的活性物质包括正交碱金属锰氧化物,其经历插层和脱嵌而没有相变,导致电压随着电荷状态的变化而基本上线性变化 的细胞。 阴极中的活性物质是具有式M x Z y M n(1-y)O 2的斜方晶结构,其中M是碱金属; Z是能够代替铁,钴或钛等正交结构中的锰的金属; x在完全充电状态下为约0.2,在完全放电状态下为约0.75,y为0至60原子%。 优选地,电池由固体电解质构成,但也可以在电池中使用液态或凝胶状电解质。

    Method, apparatus and system for multimedia model retrieval
    6.
    发明授权
    Method, apparatus and system for multimedia model retrieval 有权
    多媒体模型检索的方法,装置和系统

    公开(公告)号:US08082263B2

    公开(公告)日:2011-12-20

    申请号:US12205792

    申请日:2008-09-05

    IPC分类号: G06F7/00 G06F17/30

    摘要: A method, apparatus and system for multimedia model retrieval are provided. The method includes: obtaining parameters of a multimedia model to be retrieved; performing a projection on the multimedia model according to the parameters of the multimedia model so as to obtain a projection image; performing a feature extraction on the projection image; matching a feature extraction result with stored model multimedia file information to obtain a retrieval result; training a support vector machine (SVM) with the multimedia model labeled by a user upon the retrieval result as a training sample set, performing a probability-based classification on the multimedia model by the SVM, and updating the retrieval result with a classification result. The system of the present invention illustrated by embodiments achieves favorable applicability and robustness, so that users may perform a rapid and precise retrieval on massive model data in these fields.

    摘要翻译: 提供了一种用于多媒体模型检索的方法,装置和系统。 该方法包括:获取要检索的多媒体模型的参数; 根据多媒体模型的参数对多媒体模型执行投影,以获得投影图像; 在投影图像上执行特征提取; 将特征提取结果与存储的模型多媒体文件信息进行匹配以获得检索结果; 在检索结果作为训练样本集的基础上,用用户标注的多媒体模型训练支持向量机(SVM),通过SVM对多媒体模型进行概率分类,并用分类结果更新检索结果。 由实施例说明的本发明的系统实现了有利的适用性和鲁棒性,使得用户可以对这些领域中的大量模型数据执行快速和精确的检索。