Abstract: A semiconductor memory device comprises a cell structure and a peripheral circuit structure electrically connected to the cell structure. The peripheral circuit structure comprises an active region, a first gate structure comprising a first gate insulating layer intersecting the active region and in contact with the active region, a second gate structure comprising a second gate insulating layer spaced apart from the first gate structure, and in contact with the active region, and a source/drain region between the first gate structure and the second gate structure. A thickness of the first gate insulating layer is less than a thickness of the second gate insulating layer. The source/drain region comprises a first region adjacent to the first gate structure and a second region adjacent to the second gate structure. A depth of the first region is equal to a depth of the second region.

Abstract: There is provided a method for merging data frames performed by a data frame merge device for a vehicle network system. The method comprises receiving a plurality of control data frames from a lower level of the vehicle network system; and merging the plurality of control data frames for a preset standby time in a traffic section in which the plurality of the control data frames are not transmitted to a higher level of the vehicle network system.

Abstract: A welding device for welding a plurality of materials arranged to be in contact includes a scanner configured to deflect light; a welding laser configured to emit light toward the scanner; a galvo module configured to deflect light toward the scanner; a scan laser configured to emit light toward the galvo module; and a processor configured to control at least one of the scanner and the galvo module to scan boundaries of the plurality of materials.

Abstract: Disclosed herein is a black paint composition with improved blackness by controlling a black paint and an additive.

Abstract: A shoe management apparatus including a receiving portion defining a receiving space for receiving a shoe therein, a first supply portion for guiding a fluid flow and extending towards the receiving space, and a second supply portion at least partially disposed inside the first supply portion and protruding in a longitudinal direction of the first supply portion to supply a fluid into the shoe.

Abstract: A deep learning-based MLCC stacked alignment inspection system includes an integrated defect detection unit configured to detect core areas requiring inspection of image data in which a stacked structure is photographed from a semiconductor MLCC chip by using at least one deep learning-based core area detection model, perform segmentation in the detected core areas, determine whether a defect exists according to a standard margin percentage range, and enable defect detection by generating normal and/or defective data based on the determination result, a result analysis unit configured to perform visualization for respective results of the core area detection, segmentation, and defect detection of the integrated defect detection unit, and provide stepwise analysis data for the visualized respective results so as to determine whether to modify corresponding data, and a data storage configured to store the normal and/or defective data, and stepwise analysis data.

Abstract: A shoe management apparatus includes a receiving portion defining a receiving space for receiving a shoe therein, a first supply portion including a duct for guiding flow of a fluid, and a second supply portion connected to the first supply portion, extending in a longitudinal direction of the first supply portion and angled towards the receiving portion, the second supply portion receiving the fluid from the first supply portion and directing the fluid to the shoe.

Abstract: A display device includes a substrate, a semiconductor layer, an insulating layer, and a conductive layer. The semiconductor layer is disposed on the substrate, includes a channel of a first transistor, and includes a channel of a second transistor. The insulating layer is disposed on the semiconductor layer. The conductive layer is disposed on the insulating layer, includes a gate electrode of the first transistor, and includes a gate electrode of the second transistor. The channel of the first transistor includes a first first-element impurity ion and a second-element impurity ion different from the first first-element impurity ion. The channel of the second transistor includes a second first-element impurity ion identical to the first first-element impurity ion.

Abstract: A shoe management apparatus including a receiving portion defining a receiving space for receiving shoes therein, a first supply portion for guiding flow of a fluid towards the receiving portion, the first supply portion including a stationary duct disposed above the receiving space, a flexible duct connected to the stationary duct and able to rotate to change shape, a rotatable duct connected to the flexible duct and a first driver connected to the rotatable duct and for generating a rotational force to rotate the rotatable duct.

Abstract: A display panel comprises a first substrate including a pixel area defined, and a second substrate disposed under the first substrate and including a light emitting element that emits first light to the first substrate. The first substrate includes a base layer, a color filter layer disposed under the base layer and disposed in the pixel area, a light control layer disposed under the color filter layer, and a first opening between the color filter layer and the light control layer.

Abstract: The present invention relates to a method and device for predicting aneurysm rupture using artificial intelligence based on morphological and hemodynamic factors of aneurysms. The method for predicting aneurysm rupture according to one embodiment of the present disclosure may comprises acquiring an image of a blood vessel; deriving moment of inertia based on the image of the blood vessel; acquiring a hemodynamic factor; outputting the rupture risk when the moment of inertia and the hemodynamic factor are inputted to a pre-trained artificial neural network; and predicting the possibility of rupture as possible when the rupture risk is greater than a predetermined rupture threshold value, and predicting the possibility of rupture as absent when the rupture risk is not greater than the predetermined rupture threshold value.

Abstract: A memory management method based on a compressed memory and an apparatus using the same are provided. A memory device includes a memory and a near memory processing unit. The memory includes a normal memory area for storing uncompressed data and a compressed memory area for storing compressed data. The near memory processing unit is configured to receive a first command to frontswap-store a huge page, which is stored in the normal memory area, in the compressed memory area; identify addresses of sub-pages of the huge page based on an address of the huge page; compress the sub-pages using the addresses of the sub-pages to generate compressed sub-pages; and store the compressed sub-pages in the compressed memory area. A size of the huge page is larger than a regular page.

Abstract: A shoe treating apparatus includes an upper cabinet, a lower cabinet disposed below the upper cabinet, an electronic component part disposed below the lower cabinet, a sensor part, and a processor electrically connected to the electronic component part and the sensor part. The processor may identify at least one of a material, a type, and a condition of at least one shoe in the upper cabinet, and based on the identification, perform normal treatment on the at least one shoe in the upper cabinet through the electronic component part. The processor may identify at least one of a material, a type, and a condition of at least one shoe in the lower cabinet, and based on the identification, perform intensive treatment on the at least one shoe in the lower cabinet through the electronic component part. A method of operating the shoe treating apparatus is also provided.

Abstract: A memory device includes a memory and a controller. The memory is configured to store data. The controller is configured to receive first address data based on multi-level paging from a processing unit, convert the first address data into second address data by performing on at least one of levels a page table walk of the multi-level paging, and access the memory using the second address data.

Abstract: A near-memory processing unit is configured to compress a page present in a normal memory space of a memory when receiving a swap-out command from a host, allocate a memory area in which the compressed page is to be stored in a compressed memory space which is a memory area previously allocated by the host, copy the compressed page into the allocated memory area, generate an entry corresponding to the compressed page, and insert the generated entry into an entry tree.

Abstract: Provided are a vehicle driving information providing method and system, the method including: operating in a turning radius control mode by determining a parking situation or a U-turn situation while a vehicle is driving; determining a driving force for each of wheels located on left and right sides of the vehicle according to one predetermined configuration mode, which is set up for an operation in the turning radius control mode, among a plurality of predetermined configuration modes including different target turning radii of the vehicle; and generating and outputting an expected driving path of the vehicle, based on the determined driving force.

Abstract: A mask, according to an embodiment, comprises: a first wiring disposed on a first base layer; a piezoelectric element disposed on the first wiring; a second wiring disposed on the piezoelectric element; a second base layer disposed on the second wiring; a protective layer disposed between the first and second base layers and surrounding the first wire, the second wire, and the piezoelectric element; and a control unit which controls a driving frequency of the piezoelectric element. The control unit controls the driving frequency of the piezoelectric element in a frequency band defined as a first range, and the temperature of the piezoelectric element changes by means of the control of the driving frequency of the control unit.

Abstract: A problem of imbalanced big data is solved by decoupling a classifier into a neural network for generation of representation vectors and into a classification model for operating on the representation vectors. The neural network and the classification model act as a mapper classifier. The neural network is trained with an unsupervised algorithm and the classification model is trained with a supervised active learning loop. An acquisition function is used in the supervised active learning loop to speed arrival at an accurate classification performance, improving data efficiency. The accuracy of the hybrid classifier is similar to or exceeds the accuracy of comparative classifiers in all aspects. In some embodiments, big data includes an imbalance of more than 10:1 in image classes. The hybrid classifier reduces labor and improves efficiency needed to arrive at an accurate classification performance, and improves recognition of previously-unrecognized images.

Abstract: A method for a performance evaluation may include: obtaining a first model trained using a labeled dataset of a source domain; obtaining a second model built by performing domain adaptation to a target domain on the first model; generating a pseudo label for an evaluation dataset of the target domain using the second model; and evaluating performance of the first model using the pseudo label. The evaluation dataset is an unlabeled dataset, and the generating of the pseudo label may include adjusting an upper limit of a size constraint of adversarial noise; deriving the adversarial noise for a data sample belonging to the evaluation dataset within a range that satisfies the size constraint; generating a noisy sample by reflecting the derived adversarial noise in the data sample; and generating a pseudo label for the data sample based on a predicted label of the noisy sample obtained through the second model.

Abstract: A method, for managing a virtual memory using a first memory including a main memory space and a first swap pool and a second memory including a second swap pool, includes: based on a quality of service (QOS) of tasks or on a system efficiency corresponding to execution of the tasks, adaptively adjusting a distribution state of the first memory or a size of the first swap pool; and based on the adaptively adjusted distribution state of the first memory or the adaptively adjusted size of the first swap pool, performing swap-out of a first page of the tasks from the main memory space to the first swap pool or the second swap pool or performing swap-in of a second page of the tasks from the first swap pool or the second swap pool to the main memory space.