Abstract: A battery storage system is configured to store batteries in a safe manner that reduces the threat of thermal runaway. Batteries held by the system are electrically connected to at least one load that is powered by energy from the batteries, thereby depleting the charge level of the batteries. In some embodiments, the load is a temperature control device that is configured to cool the batteries to help prevent a thermal runaway condition during storage. That is, discharging of the battery helps not only to reduce the charge levels in the batteries, thereby decreasing the likelihood of an occurrence of thermal runaway, but also cool the batteries further decreasing the likelihood of such an occurrence. Thus, over time, the battery storage system efficiently controls the charge levels and temperatures of the batteries so that a thermal runaway condition is unlikely.

Abstract: A manufacturing method of an LDMOS device comprises: obtaining a wafer formed with a doped region having a first conductivity type, wherein a top buried layer is formed inside the doped region having the first conductivity type, and a field oxide insulation layer structure is formed on the top buried layer; disposing a trench on the doped region having the first conductivity type, wherein the trench extends to the top buried layer and the field oxide insulation layer structure such that a portion of the top buried layer is removed; injecting an ion of a second conductivity type to form a well region below the trench; and forming a doped source region in the well region. The first conductivity type and the second conductivity type are opposite conductivity types.

Abstract: Linguistic analysis methods and computer system for intelligently interacting with users in voice or text mode. The methods can improve the accuracy in recognizing user's physical or mental state when receiving user input expressions that are not in the form of a request or command, but in the form of a narrative or conversational statement, and generate relevant responses that address the user's needs, and perform tasks for the user when possible. The methods analyze the syntactic, semantic, and contextual attributes of terms in the user expressions, and handles ambiguous entities that may be the source of an intended action, or the target of such actions. Specially, methods for recognizing target entities represented by multi-word complex phrases are described and applied thus more appropriate machine responses can be determined when the input expression involves various types of attributes and different degrees of ambiguities.

Abstract: A manufacturing method of an LDMOS device comprises: obtaining a wafer formed with a doped region having a first conductivity type, wherein a top buried layer is formed inside the doped region having the first conductivity type, and a field oxide insulation layer structure is formed on the top buried layer; disposing a trench on the doped region having the first conductivity type, wherein the trench extends to the top buried layer and the field oxide insulation layer structure such that a portion of the top buried layer is removed; injecting an ion of a second conductivity type to form a well region below the trench; and forming a doped source region in the well region. The first conductivity type and the second conductivity type are opposite conductivity types.

Abstract: Methods for building an intelligent computing device for interacting with users through voice or text conversations. The device uses linguistic analysis methods to detect hidden intentions in a user input, and produces machine responses that address the user's needs. The linguistic analysis includes syntactic and semantic and contextual analysis, and identifies source entities and target entities in the user expression together with a likelihood value that the source entity may have an intention to do something. The system further detects what the user actually needs and then produces machine responses that can perform tasks for the user.

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 for enhancing search engine functionality by enabling and providing a new search function based on fuzzy expressions in a query string. When a query is received by a search engine, it is first analyzed to identify whether the query contains an expression that represents a fuzzy reference to certain objects or properties of objects, or object with certain properties, to overcome the limitations of the keyword-matching methods used by conventional search engines. For example, the present invention can accurately retrieve results for a query such as “find large-screen smart-phones” or “find light-weighted computers”, by understanding the meaning of the query and automatically identifying objects with applicable properties and mapping the meaning of the expression to such objects.

Abstract: System, methods, and user interface for searching documents related to resumes or job descriptions as a special type of unstructured data. 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 a 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 effective and relevant search results than manually-constructed search queries.

Abstract: A method, a device and an apparatus for planning a vehicle speed are provided. The method includes: determining initial planning speeds at a target path point and a reference path point based on curvature radiuses of a target front road and a reference front road, such that first and second lateral accelerations are not greater than a lateral acceleration threshold; and determining a target longitudinal acceleration and a target planning speed at the target path point based on the initial planning speeds at the target path point and the reference path point and a reference journey, such that the target longitudinal acceleration is in a defined range. Therefore, a vehicle can drive based on the target planning speed and the target longitudinal acceleration at the target path point, thereby avoiding drastic deceleration and lateral offset, improving driving safety of the vehicle and riding comfort and saving energy.

Abstract: System and methods are disclosed for discovering and presenting prominent information in a collection of text contents by identifying prominent terms in the text contents, and displaying the terms as either category nodes for organizing the contents in the collection, or as topics in the text contents, or as labels or tags for highlighting the contents in the collection, or for searching the contents in the collection. Methods include distinguishing the grammatical attributes associated with the terms, including the grammatical attributes of a subject and non-subject of a sentence, or a multi-word phrase and a sub-phrase, or a head and a modifier in a phrase, and other distributional attributes of the terms.

Abstract: System and methods for assisting a user to communicate a message to a recipient without requiring the user to provide a communication address of the recipient, especially when the address of a candidate recipient is unknown to the user, or the user has never communicated with the receiving party before, such as for sending a message to a company or store regarding a product/service, or sending an opinion/comment to a government agency or legislature, or to a social media site, etc.

Abstract: System and methods for creating structured or semi-structured representations of information extracted from unstructured text data sources are described. In some embodiments, without requiring a predefined target data structure, the methods identify the grammatical and semantic attributes and context information in a text content, and create object-properties association data as knowledge and information extracted from the unstructured data, and represent such information in a structured or semi-structured format to facilitate search and trend analysis. In some other embodiments, the methods identify the types of information contained in the unstructured data, and for a pre-defined target information type, the methods identify the context and content of the portion of the text that represents the target information type, and extract the text, attach a tag or label to the extracted text, and store or display the data in a database table format or xml format for further pattern and trend analysis.

Abstract: Rule-based system and methods for determining sentiment values for a text unit comprising multiple terms. The sentiment type of an input text unit is unknown when received, but can be derived based on various attributes of the component words or phrases in the text unit. The component words or phrases in the text unit may or may not have a known sentiment type attached. When the component words has a sentiment value, the present system provides methods to determine whether the derived sentiment type of the text unit as a whole should be the same or different or opposite to the sentiment type of the component words. When the component words do not have a known sentiment type, the present system can still produce correct sentiment type for the text unit based on other attributes associated with the component words.

Abstract: A high voltage P-type lateral double-diffused metal oxide semiconductor field effect transistor (10) comprises: a substrate (100); an N-type lateral double-diffused metal oxide semiconductor field effect transistor (200) formed on the substrate (100); and a P-type metal oxide semiconductor field effect transistor (300) formed at a drain of the N-type lateral double-diffused metal oxide semiconductor field effect transistor (200); wherein a gate of the P-type metal oxide semiconductor field effect transistor (300) serves as a gate of the high voltage P-type lateral double-diffused metal oxide semiconductor field effect transistor (10); a drain of the P-type metal oxide semiconductor field effect transistor (300) serves as a drain of the high voltage P-type lateral double-diffused metal oxide semiconductor field effect transistor (10); a source of the N-type lateral double-diffused metal oxide semiconductor field effect transistor (200) serves as a source of the high voltage P-type lateral double-diffused metal

Abstract: A method, a device and an apparatus for planning a vehicle speed are provided. The method includes: determining initial planning speeds at a target path point and a reference path point based on curvature radiuses of a target front road and a reference front road, such that first and second lateral accelerations are not greater than a lateral acceleration threshold; and determining a target longitudinal acceleration and a target planning speed at the target path point based on the initial planning speeds at the target path point and the reference path point and a reference journey, such that the target longitudinal acceleration is in a defined range. Therefore, a vehicle can drive based on the target planning speed and the target longitudinal acceleration at the target path point, thereby avoiding drastic deceleration and lateral offset, improving driving safety of the vehicle and riding comfort and saving energy.

Abstract: Provided is a laterally diffused metal-oxide-semiconductor field-effect transistor, comprising a substrate (110), a source (150), a drain (140), a body region (160), a P-type field-limiting ring (135), and a well region on the substrate (110); the well region comprises an inserted well (122), which has P-type doping and is disposed below the drain and connected to the drain; N wells (124) disposed at the two sides of the inserted well (122); a P well (126) disposed next to the N well (124) and connected to the N well (124); a P-type field-limiting ring (135), which is disposed inside the N well (124), is a closed ring-shaped structure, and is located at the periphery below the drain (140); the inserted well (122) extends in its longitudinal direction to the position where it is in contact with said P-type field-limiting ring (135); the source (150) and the body region (160) are disposed inside the P well (126).

Abstract: Provided is a laterally diffused metal-oxide-semiconductor field-effect transistor, comprising a substrate (110), a source (150), a drain (140), a body region (160), a P-type field-limiting ring (135), and a well region on the substrate (110); the well region comprises an inserted well (122), which has P-type doping and is disposed below the drain and connected to the drain; N wells (124) disposed at the two sides of the inserted well (122); a P well (126) disposed next to the N well (124) and connected to the N well (124); a P-type field-limiting ring (135), which is disposed inside the N well (124), is a closed ring-shaped structure, and is located at the periphery below the drain (140); the inserted well (122) extends in its longitudinal direction to the position where it is in contact with said P-type field-limiting ring (135); the source (150) and the body region (160) are disposed inside the P well (126).