Abstract:
An improved method of attaching a semiconductor chip onto a die pad of a lead frame using an epoxy adhesive by dispensing the epoxy adhesive onto the die pad, decreasing a viscosity of the epoxy adhesive dispensed onto the die pad by blowing a hot gas over at least part of the epoxy adhesive thereby preventing a formation of an epoxy tail, and placing the chip into the adhesive to attach the chip to the die pad. The hot gas used may be air or nitrogen, having a temperature from 50.degree. C. to 70.degree. C. The hot gas is blown from a blower between the die pad and the dispenser, and may be blown onto the epoxy adhesive from more than one direction.
Abstract:
The optimum electrolyte level sensing method and the automatic topping up apparatus for storage wet cell are disclosed. The difference in the conductivities between the distilled water and the electrolyte is utilized. An injection outlet portion(15), an adjust ring(14), and two wires are used to detect the optimum electrolyte level to supply distilled water to storage cells. The feedback control to maintain the constant optimum electrolyte level of storage cells is carried out by a single microprocessor.
Abstract:
Disclosed herein is an inside door handle assembly in a vehicle may include: a handle bracket in which a lever of the inside door handle is rotatably installed and a hook coupling hole is formed; a coupling protrusion protruding from the handle bracket; a mounting plate protruding from a door module, having a coupling groove into which the coupling protrusion is inserted in a direction parallel to a door, and having a locking bump to support the coupling protrusion such that the coupling protrusion is not moved in a direction crossing the door in a state where the coupling protrusion is inserted into the coupling groove; and a hook formed integrally with the door module so as to protrude from the door module, and inserted and coupled to the hook coupling hole of the handle bracket.
Abstract:
Disclosed herein is a door module for a vehicle, which is mounted in a door panel of a vehicle door. The door module may include: a stiffened plate including base plates formed at positions where one or more hardware parts related to the vehicle door are mounted and a connection plate for connecting the base plates, wherein the base plates and the connection plate are integrally formed; and a resin panel covering an opening of the door panel, and formed by over-molding resin onto the stiffened plate, wherein the stiffened plate is formed of a material having higher stiffness than the resin.
Abstract:
A user terminal is provided, including a communication interface unit which receives an application content at least part of which is encrypted, a storage unit which stores the received application content, a decryption unit which decrypts the application content, a user interface unit which receives a command to execute the application content, and a controlling unit which controls the decryption unit to install an application content stored in the storage unit in an encrypted state and decrypt the installed application content according to the execution command. Accordingly, an application, which is an executable content, may be downloaded and installed in a user terminal, and used and updated safely.
Abstract:
According to example embodiments a transistor includes a channel layer on a substrate, a first channel supply layer on the channel, a depletion layer, a second channel supply layer, source and drain electrodes on the first channel supply layer, and a gate electrode on the depletion layer. The channel includes a 2DEG channel configured to generate a two-dimensional electron gas and a depletion area. The first channel supply layer corresponds to the 2DEG channel and defines an opening that exposes the depletion area. The depletion layer is on the depletion area of the channel layer. The second channel supply layer is between the depletion layer and the depletion area.
Abstract:
A method and apparatus for correcting a named entity word in a speech input text. The method includes recognizing a speech input signal from a user, obtaining a recognition result including named entity vocabulary mark-up information, determining a named entity word recognized incorrectly in the recognition result according to the named entity vocabulary mark-up information, displaying the named entity word recognized incorrectly, and correcting the named entity word recognized incorrectly.
Abstract:
A method of manufacturing a semiconductor device includes forming a silicon substrate, forming a buffer layer on the silicon substrate, and forming a nitride semiconductor layer on the buffer layer. The buffer layer includes a first layer, a second layer, and a third layer. The first layer includes AlxInyGa1-x-yN (0≦x≦1, 0≦y≦1, 0≦x+y≦1) and has a lattice constant LP1 that is smaller than a lattice constant LP0 of the silicon substrate. The second layer is formed on the first layer, includes AlxInyGa1-x-yN (0≦x
Abstract translation:制造半导体器件的方法包括形成硅衬底,在硅衬底上形成缓冲层,并在缓冲层上形成氮化物半导体层。 缓冲层包括第一层,第二层和第三层。 第一层包括Al x In y Ga 1-x-y N(0&nlE; x&nlE; 1,0&amp; nlE; y& 第二层形成在第一层上,包括Al x In y Ga 1-x-y N(0&nlE; x <1,0&lt; nlE; y <1,0
Abstract:
An apparatus and method is provided for digital rights management. The method for digital rights management includes receiving encrypted content and a rights object representing use rights of the encrypted content, receiving a software module managing the rights object, and generating a new rights object using the software module.
Abstract:
An apparatus and method for detecting a named-entity. The apparatus includes a candidate-named-entity extraction module that detects a candidate-named-entity based on an initial learning example and feature information regarding morphemes constituting an inputted sentence, the candidate-named-entity extraction module providing a tagged sentence including the detected candidate-named-entity; a storage module that stores information regarding a named-entity dictionary and a rule; and a learning-example-regeneration module for finally determining whether the candidate-named-entity included in the provided sentence is a valid named-entity, based on the named-entity dictionary and the rule, the learning-example-regeneration module providing the sentence as a learning example, based on a determination result, so that a probability of candidate-named-entity detection is gradually updated.