公开(公告)号：US09601917B2

公开(公告)日：2017-03-21

申请号：US14412813

申请日：2012-12-17

申请人： Chun Hun An ,  Dae Hoon Park

发明人： Chun Hun An ,  Dae Hoon Park

IPC分类号： H02H5/08 ,  H01R9/24 ,  H02H11/00 ,  H01R13/523

CPC分类号： H02H5/083 ,  H01R9/2483 ,  H01R13/523 ,  H02H11/002

摘要： Disclosed is a device capable of preventing a short circuit even in the event of flooding. A terminal polarity fixing unit is disposed between an input terminal unit and an output terminal unit such that a first output terminal and a second output terminal are electrically connected to a neutral terminal and to a phase voltage terminal, respectively, all the time, regardless of how first and second input terminals are paired with the phase voltage terminal and the neutral terminal of an alternating-current outlet. First and second connecting terminals are electrically insulated from each other and spaced apart from each other while being exposed to one side of a body unit of a connecting terminal block made from an insulating body, and electrically connect the first and second output terminals to a load. A short circuit prevention conductor is connected to the first connecting terminal, which is in turn connected to the neutral terminal but is not connected to the second connecting terminal, and is arranged in the vicinity of the second connecting terminal so as to surround at least a portion of the side of the connecting terminal block, at least a portion of the upper portion of the connecting terminal block, and at least a portion of each of the side and upper parts of the connecting terminal block. When the connecting terminal block is flooded, the electric current flowing out of the second connecting terminal flows into the short circuit prevention conductor via the water, and an electric current sufficient for causing an electric shock does not flow to other sites.

公开(公告)号：US20120259616A1

公开(公告)日：2012-10-11

申请号：US13082963

申请日：2011-04-08

申请人： Wei Peng ,  Dae Hoon Park

发明人： Wei Peng ,  Dae Hoon Park

IPC分类号： G06F17/27

CPC分类号： G06F17/274

摘要： Embodiments generally relate to systems and methods for generating a sentiment dictionary and calculating sentiment scores of adjectives within the sentiment dictionary. A set of seed words can be identified and expanded using synonyms and antonyms of the set of seed words. Social media data can be parse to identify adjectives that link to the set of seed words with the words “and” or “but.” Matrices representing the attraction and repulsion among the linked adjectives can be generated. A factorization algorithm can be minimized to determine an output matrix that comprises positive and negative sentiment scores for each of the adjectives. In embodiments, a sentiment score for part of all of the social media data can be calculated using the output matrix, and one or more parts of the social media data can be classified as a positive or negative sentiment.

摘要翻译： 实施例通常涉及用于产生情感词典的系统和方法，并且计算情绪词典内的形容词的情绪评分。 可以使用种子字集合的同义词和反义词来识别和扩展一组种子字。 可以分析社交媒体数据，以识别链接到具有单词和或者的单词的种子词组的形容词。 可以生成表示链接形容词中的吸引力和排斥性的矩阵。 可以将因式分解算法最小化以确定包含每个形容词的正和负情绪评分的输出矩阵。 在实施例中，可以使用输出矩阵来计算所有社交媒体数据的一部分的情绪评分，并且社交媒体数据的一个或多个部分可以被分类为正或负情绪。

公开(公告)号：US08725495B2

公开(公告)日：2014-05-13

申请号：US13082963

申请日：2011-04-08

申请人： Wei Peng ,  Dae Hoon Park

发明人： Wei Peng ,  Dae Hoon Park

IPC分类号： G06F17/20 ,  G06F17/27

CPC分类号： G06F17/274

摘要： Embodiments generally relate to systems and methods for generating a sentiment dictionary and calculating sentiment scores of adjectives within the sentiment dictionary. A set of seed words can be identified and expanded using synonyms and antonyms of the set of seed words. Social media data can be parse to identify adjectives that link to the set of seed words with the words “and” or “but.” Matrices representing the attraction and repulsion among the linked adjectives can be generated. A factorization algorithm can be minimized to determine an output matrix that comprises positive and negative sentiment scores for each of the adjectives. In embodiments, a sentiment score for part of all of the social media data can be calculated using the output matrix, and one or more parts of the social media data can be classified as a positive or negative sentiment.

摘要翻译： 实施例通常涉及用于产生情感词典的系统和方法，并且计算情绪词典内的形容词的情绪评分。 可以使用种子字集合的同义词和反义词来识别和扩展一组种子字。 可以分析社交媒体数据，以识别链接到具有单词“和”或“但”的种子单词组的形容词。可以生成表示链接形容词之间的吸引力和排斥性的矩阵。 可以将因式分解算法最小化以确定包含每个形容词的正和负情绪评分的输出矩阵。 在实施例中，可以使用输出矩阵来计算所有社交媒体数据的一部分的情绪评分，并且社交媒体数据的一个或多个部分可以被分类为正或负情绪。