Abstract: Some embodiments include a construction having a horizontally-extending layer of fluorocarbon material over a semiconductor construction. Some embodiments include methods of filling openings that extend into a semiconductor construction. The methods may include, for example, printing the material into the openings or pressing the material into the openings. The construction may be treated so that surfaces within the openings adhere the material provided within the openings while surfaces external of the openings do not adhere the material. In some embodiments, the surfaces external of the openings are treated to reduce adhesion of the material.

Abstract: A vehicle bulkhead structure may include a dash panel; a pair of front side members spaced apart from each other and coupled to the dash panel; and a plurality of reinforcement members coupled to a front surface of the dash panel, wherein some of the plurality of reinforcement members support each front side member.

Abstract: A data prediction method and apparatus generate plant normal state prediction data based on measurement data of multiple tags and a plant prediction model, to enhance accuracy of anomaly/fault prediction by providing precise prediction data in the normal state even in a plant anomaly/fault condition. The method includes generating primary prediction data by performing primary prediction based on the measurement data and the plant prediction model; selecting an anomalous state tag among the multiple tags, the selected anomalous state tag determined as data of an anomalous state based on measurement data corresponding to the primary prediction data; updating the plant prediction model by using the measurement data of only normal state tags; and generating secondary prediction data by performing secondary prediction based on the measurement data of the normal state tags and the updated plant prediction model. Secondary prediction is performed only when an anomalous state tag is selected.

Abstract: A side sill structure can be used for a vehicle. The side sill structure includes a side sill extending along a longitudinal direction of the vehicle; and a front connection member connects a front side member located at a front side of the side sill to a front end of the side sill.

Abstract: A load distribution structure for a vehicle includes: a pair of front side members which are spaced apart from each other in a width direction of the vehicle on a front side of the vehicle; a pair of side sills respectively connected to the front side members; a pair of front pillars respectively connected to front ends of the side sills; a pair of connection members each connecting the front side members and the corresponding side sill along a longitudinal direction of the vehicle; and a dash crossmember transversely connected to the pair of connection members. In particular, each front side member is overlapped and joined to the corresponding connection member, and end portions of the dash crossmember are overlapped and joined to the connection members, respectively.

Abstract: Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to estimate and recover normal signals for the some tags based on the signal subset U*, the first learning signal subset X*, the feature information F, the recovery information P on the plurality of recovery models, and similarity Z.

Abstract: A method of predicting plant data in a system generates prediction data based on a plant prediction model and for detecting anomalies of the plant by comparing the prediction data with measurement data. The method can provide precise prediction data in a normal state even though the measurement data contains data in an anomalous state. Anomaly/fault prediction accuracy is enhanced by providing precise prediction data in the normal state. An apparatus using the method includes a plant modeling unit for generating a plant prediction model based on k-nearest neighbors (k-NN) by modeling a plant based on measurement data of multiple tags; and a prediction data generating unit for measuring similarity between the plant prediction model and the measurement data, determining a parameter k value based on the similarity, and generating plant normal state prediction data based on the determined parameter k value and the measured similarity.

Abstract: A side sill for a vehicle includes: an inner portion facing an interior space of the vehicle; an outer portion facing an exterior space of the vehicle; and mounting hardware, which is riveted to one of the inner portion and the outer portion, wherein the inner portion and the outer portion form a unitary one-piece structure.

Abstract: A ceramic dielectric includes a plurality of semi-conductive grains including a semiconductor oxide including barium (Ba), titanium (Ti), and a rare earth element. A ceramic dielectric also includes an insulative oxide located between adjacent semiconductor grains and an acceptor element including manganese (Mn), magnesium (Mg), aluminum (Al), iron (Fe), scandium (Sc), gallium (Ga), or a combination thereof, a method of manufacturing the ceramic dielectric, and a ceramic electronic component, and an electronic device including the ceramic dielectric.

Abstract: A system for coating a heat transfer tube for a condenser is disclosed. The system simplifies a process of coating the heat transfer tube, and is able to uniformly coat a plurality of heat transfer tubes. In addition, the system is economically feasible in that coating solution can be reused by collecting and circulating it. Due to super-hydrophobic coating, the size of a droplet condensed on the surfaces of the heat transfer tubes coated by the system can be reduced, and a condensation heat transfer coefficient can be increased.

Abstract: Provided is a home monitoring method and apparatus. A home gateway executes receiving, from a mobile terminal, a request message for requesting home monitoring, providing, to the mobile terminal in response to the request message, monitoring information associated with a camera module included in at least one home device registered in advance and/or a position to be monitored, receiving, from the mobile terminal, selection information indicating a first camera module selected based on the monitoring information, transmitting, to the mobile terminal, image data captured and collected by the first camera module in response to the reception of the selection information, receiving, from the mobile terminal, a control command with respect to the first camera module, and transmitting the control command to a first home device including the first camera module.

Abstract: A front pillar structure for a vehicle includes a front pillar including a front pillar lower extending vertically and a front pillar upper extending obliquely from the front pillar lower. A connection member is coupled to a bottom end of the front pillar lower and connects a front side member and a side sill. The front pillar lower has an S-shaped cross section and the connection member has stepwise flanges coupled to the bottom end of the front pillar lower.

Abstract: A disclosed example to modulate slit stress in a semiconductor substrate includes a first controller to, after obtaining a wafer stress measurement of the semiconductor substrate, control a first process to apply a first material to the semiconductor substrate based on the wafer stress measurement, the semiconductor substrate including a slit between adjacent stacked transistor layers, the first material coating walls of the slit to reduce a first width of the slit between the adjacent stacked transistor layers to a second width; and a second controller to control a second process to apply a second material to the semiconductor substrate, the second material to be deposited in the second width of the slit, the first material and the second material to form a solid structure in the slit between the adjacent stacked transistor layers.

Abstract: A body floor of a vehicle includes seat rails having seats mounted to the seat rails, a center floor including center side members provided on opposite sides of a tunnel member and a center cross-member connecting the center side members to the tunnel member, a rear floor having a rear side member connected to the center side members, a side reinforcement member provided between the center cross-member and the rear floor to cover the center side members and the rear side member, and a center reinforcement member provided between the center cross-member and the rear floor to cover the tunnel member, where rigidity of peripheral parts of the center floor, the rear floor, and the tunnel member is ensured by the side reinforcement member and the center reinforcement member, and the center floor and the rear floor provide an installation structure for the seat rails.

Abstract: A system and method for configuring a boiler combustion model are provided. The system for configuring the boiler combustion model may include a model generator configured to generate the boiler combustion model using, as input/output data, data obtained based on measured data, analysis data, and controller information, a model simulator configured to simulate the generated boiler combustion model and output simulated results, and a model modifier configured to evaluate the boiler combustion model based on the simulated results and generate modification information for modifying the boiler combustion model based on the generated boiler combustion model and corresponding evaluated results.

Abstract: A tunnel structure for a vehicle is provided, and the tunnel structure includes a tunnel extending along a centerline of a center floor, and a plurality of crossmembers individually coupled to both side surfaces of the tunnel. Each crossmember has a closed cross-sectional shape. The tunnel structure further includes a plurality of bosses provided on the side surfaces of the tunnel, and an end portion of each crossmember received in and coupled to each boss. In addition, the tunnel includes a front tunnel disposed on a front of the center floor, a rear tunnel disposed on a rear of the center floor, and a center tunnel disposed between the front tunnel and the rear tunnel along the centerline of the center floor.

Abstract: A system for controlling a boiler apparatus in a power plant to combust under optimized conditions, and a method for optimizing combustion of the boiler apparatus using the same are provided.

Abstract: A system and method for predicting an analytical abnormality are provided. The method for predicting an analytical abnormality may include generating a signal generation model and an analysis model for a design object based on first analysis data, applying a signal generated by the signal generation model to the analysis model based on second analysis data to calculate one or more estimated values, comparing the estimated values and the second analysis data to generate a plurality of early warning information, and determining whether to output an early warning based on whether the plurality of early warning information satisfy a preset condition.

Abstract: A memory controller and a memory system including the same are provided. The memory controller includes a memory storing a flash translation layer (FTL) mapping table, which includes a physical page number (PPN) of a flash memory and a logical page number (LPN) corresponding to the PPN; a central processing unit (CPU) accessing a memory mapped address space to which a logical address corresponding to the LPN is allocated; and an LPN translator receiving the logical address from the CPU, extracting an LPN corresponding to the logical address, reading, from the memory, the FTL mapping table corresponding to the extracted LPN, extracting a PPN corresponding to the extracted LPN, and transmitting the extracted PPN to the CPU.

Abstract: An apparatus for combustion optimization is provided. The apparatus for combustion optimization includes a management layer configured to collect currently measured real-time data for boiler combustion, and to determine whether to perform combustion optimization and whether to tune a combustion model and a combustion controller by analyzing the collected real-time data, a data layer configured to derive learning data necessary for designing the combustion model and the combustion controller from the real-time data and previously measured past data for the boiler combustion, a model layer configured to generate the combustion model and the combustion controller through the learning data, and an optimal layer configured to calculate a target value for the combustion optimization by using the combustion model and the combustion controller, and to output a control signal according to the calculated target value.