Abstract: The present disclosure relates to a semiconductor device with an ESD protection structure. The semiconductor device includes a high-voltage power device 101, the ESD protection structure is a NMOS transistor 102, a drain of the NMOS transistor is shared by a source of the power device as a common-drain-source structure 107, substrate leading-out regions of the power device 101 and the NMOS transistor are coupled to the source 106 of the NMOS transistor as a ground leading-out. In the present disclosure, the drain of the NMOS transistor is shared by the source of the power device, so the increased area of the device with the ESD protection structure incorporated is small. In addition, the holding voltage at the source of the high-voltage power device is relatively low, which helps to protect the gate oxide and improve the source reliability.

Abstract: A system and methods for creating data objects as symbolic or associative representations of terms or objects using machine-based methods are presented. A term can be a word or a phrase, which can also be the name of an object. For a given term, the methods analyze other terms associated with the term, and determine a set of terms or values to be attached to the term to form a dataset, either as a representation of the term, or as information about an object represented by the term, including various properties associated with the object. The methods include obtaining a group of text contents or non-natural language data contents, specifying a target term or symbol, and identifying contextual attributes of the target term or symbol. The contextual attributes include positional and distance attributes, as well as grammatical and semantic attributes.

Abstract: A laterally diffused metal oxide semiconductor device includes: a substrate (10); a buried layer region (32) in the substrate; a well region (34) on the buried layer region (32); a gate region on the well region; a source region (41) and a drain region (43) which are located at two sides of the gate region; and a super junction structure.

Abstract: A method and system for volume control by hand gesture, comprising the following steps: enter music playing interface, and control the music volume and system volume, conduct hand gesture operation and pop up volume control interface; conduct volume control by hand gesture in the volume control interface, and conduct the corresponding operation for the music volume according to the volume control by hand gesture. If the direction of volume control by hand gesture is upward, the volume increases, and vice versa. Click the volume control symbol on the volume control interface to control the music volume accordingly; or return to the music playing interface if the volume control by hand gesture is not conducted on the volume control interface within the set time, or “Return” key is clicked.

Abstract: An N type lateral double-diffused metal oxide semiconductor field effect transistor (200) includes a substrate (202); a first N well (204) formed on the substrate; a second N well (206), a first P well (208), a third N well (210) and a fourth N well (212); a source lead-out region (214) formed on the first P well (208); a drain lead-out region (216) formed on the fourth N well (212); a first gate lead-out region formed on surfaces of the second N well (206) and the first P well (208); and a second gate lead-out region formed on surfaces of the first P well (208) and the third N well (210). The first gate lead-out region and the second gate lead-out region are respectively led out by means of metal wires, and then are connected to serve as a gate.

Abstract: The Invention discloses a method for calling out music playlist by hand gesture, comprising the following steps to: enter playing interface of music player, set up the corresponding plane coordinate system according to the playing interface, and set positive direction of X-axis and Y-axis. Define a hand gesture area in the playing interface, and conduct ACTION_MOVE operation in the hand gesture area to call out music playlist. By the corresponding gesture operations in the hand gesture area, the music player will directly pop up the music playlist, and the user may not click the button.

Abstract: System and methods are disclosed for determining the connotation or sentiment type of a text unit comprising multiple terms and with a grammatical structure, such as subject+verb, verb+object, adjective+noun, noun+noun, noun+preposition+noun. The connotation or sentiment type of the text unit is determined by applying context rules where the context of the grammatical structure may change the inherent or default connotations of individual terms in the text unit. The methods provide a solution to the challenge of correctly or accurately determining the sentiment type of various linguistic structures under different context, and to the simplistic approach of using the inherent or default connotation of individual terms for the linguistic structure containing such terms.

Abstract: System, methods, and user interface for managing emails and other message communications are disclosed as solutions for reducing confusion and avoiding mistakes in communications when replying to a message with multiple recipients. The mode of replying either to the sender only or to multiple recipients is first detected, and notifications and user interface objects are displayed to help the user to make sure the message is sent to the intended recipient, and to easily correct a mistake and switch the mode of reply for enhanced productivity. The notification can be displayed based on the user actions or based on the results of a text analysis of the content of the message.

Abstract: System, methods, and user interface for searching documents related to resumes or job descriptions as a special type of unstructured data are disclosed. The methods automatically transform a source document such as a resume or job description into a search query, and retrieve target documents matching the most important contents in the source document without requiring the user to open and read the source document and write a query. The methods identify the most representative attributes in such documents based on grammatical, semantic, and contextual information contained in the documents for producing more relevant search results than manually-constructed search queries.

Abstract: A system, methods, and user interface for extracting information from unstructured data sources and presenting such information in a structured or semi-structured format for better information search and utilization, and can be applied to replace the conventional methods of displaying search results. The methods identify terms representing topics and related comments in various types of text contents including documents and Web pages, and extract such terms and present them in a form of a topic-comment or object-properties hierarchy, including a heading+list format and heading+cloud or group format. Methods and interface object are provided to make a file object a non-terminal node in a computer file system, with information extracted from the file content displayed as deeper levels of the file system hierarchy. Methods for displaying information extracted from unstructured document contents in terms of class-members and topic-attributes are also disclosed.

Abstract: Systems and methods are presented for producing datasets as symbolic or associative representations of terms or objects or entities. A term can be a word or a phrase, which can also be the name of an object or a topic or concept. A dataset is produced for a specific term or object. The dataset contains a plurality of other terms or values associated with the specific term, and can serve as a representation of the specific term by other terms or values obtained using machine-based algorithms from text contents. Terms or values in the datasets also represent information about an object, or information about properties associated with the object. Methods for obtaining the datasets include discovering the relationships between terms in a plurality of text contents, based on occurrence, location, and attributes associated with the terms in the text contents.

Abstract: The present disclosure relates to a semiconductor device with an ESD protection structure. The semiconductor device includes a high-voltage power device 101, the ESD protection structure is a NMOS transistor 102, a drain of the NMOS transistor is shared by a source of the power device as a common-drain-source structure 107, substrate leading-out regions of the power device 101 and the NMOS transistor are coupled to the source 106 of the NMOS transistor as a ground leading-out. In the present disclosure, the drain of the NMOS transistor is shared by the source of the power device, so the increased area of the device with the ESD protection structure incorporated is small. In addition, the holding voltage at the source of the high-voltage power device is relatively low, which helps to protect the gate oxide and improve the source reliability.

Abstract: A laterally diffused metal oxide semiconductor device includes: a substrate (10); a buried layer region (32) in the substrate; a well region (34) on the buried layer region (32); a gate region on the well region; a source region (41) and a drain region (43) which are located at two sides of the gate region; and a super junction structure.

Abstract: A computer system and methods are disclosed for automatically discovering topics and building a hierarchical topic structure, and for tagging and categorizing contents in a document or other natural language contents. The disclosed methods include steps for obtaining terms that best represent the topics in a text content, and building a hierarchical representation of topics of different levels or topic-comment relationships, and folder-subfolder structures. The methods further include obtaining, identifying, and selecting terms representing different degrees of informational importance based on the grammatical roles, parts of speech, and semantic attributes associated with the terms, using the terms to represent topics in the document, to automatically tag the document, to rank search results, and to build a category structure based on the selected terms.

Abstract: Computer-implemented methods for determining term importance and for search relevance ranking, document tagging and summarization are disclosed. The methods include steps for discovering prominent and information-rich terms by performing analysis on term attributes including structural and distributional attributes and grammatical attributes which include the subject and non-subject of a sentence, and head and modifier of a phrase. Methods for tagging documents with important terms and ranking search results based on prominence measures of queried terms are also disclosed.

Abstract: A system, methods, and user interface for automatically extracting important terms from a document content as terms representing the important information in the content, and using the extracted term or terms to label the document, either as a tag or a summary or category, or for renaming the document. Methods for determining the terms as important include content analysis methods based on grammatical, semantic, contextual, positional, frequency, and other attributes associated with the terms. Documents can include any type of document containing text, including personal or company documents, Web pages, emails, reviews and comments, etc. In some embodiments, a document can also be a collection of documents.

Abstract: A system, methods, and user interface for organizing an unstructured collection of electronic objects in a list or group format are disclosed for more effectively locating and retrieving needed items from a large number of candidates. The electronic objects include various types of data objects, including files or folders or contacts. The methods include assigning importance measures to items in the collection based on various attributes associated with the objects. The attributes include metadata and attributes obtained from content analyzes of the objects, including a specific term, a term with a specific semantic attribute, a class of the object, and other attributes.

Abstract: An LDMOS device, comprising a substrate (202), a gate electrode (211) on the substrate (202), a buried layer area in the substrate (202), and a diffusion layer on the buried layer area, wherein the buried layer area comprises a first buried layer (201) and a second buried layer (203), wherein the conduction types of impurities doped in the first buried layer (201) and the second buried layer (203) are opposite; the diffusion layer comprises a first diffusion area (205) and a second diffusion area (206), wherein the first diffusion area (205) is located on the first buried layer (201) and abuts against the first buried layer (201), and the second diffusion area (206) is located on the second buried layer (203) and abuts against the second buried layer (203); and the conduction types of impurities doped in the first buried layer (201) and the first diffusion area (205) are the same, and the conduction types of impurities doped in the second buried layer (203) and the second diffusion area (206) are the same.

Abstract: A semiconductor device includes a substrate (110); a buried layer (120) formed on the substrate (110), a diffusion layer (130) formed on the buried layer (120), wherein the diffusion layer (130) includes a first diffusion region (132) and a second diffusion region (134), and an impurity type of the second diffusion region (134) is opposite to an impurity type of the first diffusion region (132); the diffusion layer (134) further comprises a plurality of third diffusion regions (136) formed in the second diffusion region, wherein an impurity type of the third diffusion region (136) is opposite to the impurity type of the second diffusion region (134); and a gate (144) formed on the diffusion layer (130).

Abstract: System and methods are disclosed for providing answers to search queries, and for searching using association data without requiring keyword matching. Datasets representing objects and their properties are created from unstructured data sources based on natural language analysis methods, and can be used to answer queries about objects or properties of objects. Implementations include general information search engines and embodiments for searching products, services, people, or other objects without knowing the names of such objects, or searching for information about known objects by using either keyword-based queries or natural language queries such as asking questions. System and methods are also provided for creating a structured or semi-structured representation of various unstructured data, in contrast to the conventional term-vector or term-document matrix representation.