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1. 发明申请

US20070182516A1 Magnetic resonance imaging device with an active shielding device 审中-公开
标题翻译：具有主动屏蔽装置的磁共振成像装置
公开(公告)号：US20070182516A1
公开(公告)日：2007-08-09
申请号：US10598673
申请日：2005-03-11
申请人： Nicolaas Roozen , Adrian Toma , Georgo Angelis
发明人： Nicolaas Roozen , Adrian Toma , Georgo Angelis
IPC分类号： H01F3/00
CPC分类号： G01R33/421 , G01R33/3854
摘要： The present invention relates to a magnetic resonance imaging (MRI) device. The basic components of an MRI device are the main magnet system, the gradient system, the RF system and the signal processing system. According to the present invention the magnetic resonance imaging device comprises at least one active shielding device (19, 20) assigned to the main magnet system (2), wherein the or each is driven by an electrical current in order to reduce magnetic field penetration inside the main magnet system and to reduce mechanical forces induced in the main magnet
摘要翻译：磁共振成像（MRI）装置技术领域本发明涉及磁共振成像（MRI）装置。 MRI设备的基本组成部分是主磁体系统，梯度系统，RF系统和信号处理系统。根据本发明，磁共振成像装置包括分配给主磁体系统（2）的至少一个有源屏蔽装置（19,20），其中，所述至少一个有源屏蔽装置（19,20）被电流驱动，以便减小内部的磁场穿透主磁体系统，并减少主磁铁感应的机械力

2. 发明申请

US20140259157A1 Document Classification Using Multiscale Text Fingerprints 有权
标题翻译：使用多尺度文本指纹的文档分类
公开(公告)号：US20140259157A1
公开(公告)日：2014-09-11
申请号：US13790636
申请日：2013-03-08
申请人： Adrian Toma , Marius N. Tibeica
发明人： Adrian Toma , Marius N. Tibeica
IPC分类号： H04L29/06
CPC分类号： H04L63/1408 , G06Q50/265 , H04L51/12
摘要： Described systems and methods allow a classification of electronic documents such as email messages and HTML documents, according to a document-specific text fingerprint. The text fingerprint is calculated for a text block of each target document, and comprises a sequence of characters determined according to a plurality of text tokens of the respective text block. In some embodiments, the length of the text fingerprint is forced within a pre-determined range of lengths (e.g. between 129 and 256 characters) irrespective of the length of the text block, by zooming in for short text blocks, and zooming out for long ones. Classification may include, for instance, determining whether an electronic document represents unsolicited communication (spam) or online fraud such as phishing.
摘要翻译：描述的系统和方法允许根据文档特定的文本指纹对诸如电子邮件消息和HTML文档之类的电子文档进行分类。针对每个目标文档的文本块计算文本指纹，并且包括根据相应文本块的多个文本令牌确定的字符序列。在一些实施例中，文本指纹的长度被强制在预定的长度范围内（例如，在129和256个字符之间），而不管文本块的长度，通过放大短文本块并缩小长时间那些。例如，分类可能包括确定电子文档是否代表未经请求的通信（垃圾邮件）或网络欺诈，如网络钓鱼。

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