Abstract: According to the present exemplary embodiments, provided are a traffic signal system and a vehicle which estimate a position and a moving direction of a vehicle in accordance with a driving status of the vehicle at an intersection and improve a positioning accuracy based on wired or wireless communication.

Abstract: A semiconductor device capable of improving a device performance and a reliability is provided. The semiconductor device comprising a gate structure including a gate electrode on a substrate, a source/drain pattern on a side face of the gate electrode, on the substrate and, a source/drain contact connected to the source/drain pattern, on the source/drain pattern, a gate contact connected to the gate electrode, on the gate electrode, and a wiring structure connected to the source/drain contact and the gate contact, on the source/drain contact and the gate contact, wherein the wiring structure includes a first via plug, a second via plug, and a wiring line connected to the first via plug and the second via plug, the first via plug has a single conductive film structure, and the second via plug includes a lower via filling film, and an upper via filling film on the lower via filling film.

Abstract: Disclosed is an inspection cup for inspecting an impurity in molten metal for die casting. The inspection cup for inspecting an impurity in molten metal for die casting according to an exemplary embodiment of the present disclosure is configured to detect an impurity contained in the molten aluminum and includes a cup body having a molten metal accommodation portion capable of accommodating a predetermined amount of molten aluminum, and the molten metal accommodation portion is shaped such that a cross-sectional area thereof gradually decreases from an upper end toward a lower end.

Abstract: A computer-implemented method for efficient and scalable enclave protection for machine learning (ML) programs includes tailoring at least one ML program to generate at least one tailored ML program for execution within at least one enclave, and executing the at least one tailored ML program within the at least one enclave.

Abstract: Disclosed is an inspection cup for inspecting an impurity in molten metal for die casting. The inspection cup for inspecting an impurity in molten metal for die casting according to an exemplary embodiment of the present disclosure is configured to detect an impurity contained in the molten aluminum and includes a cup body having a molten metal accommodation portion capable of accommodating a predetermined amount of molten aluminum, and the molten metal accommodation portion is shaped such that a cross-sectional area thereof gradually decreases from an upper end toward a lower end.

Abstract: A method for implementing confidential machine learning with program compartmentalization includes implementing a development stage to design an ML program, including annotating source code of the ML program to generate an ML program annotation, performing program analysis based on the development stage, including compiling the source code of the ML program based on the ML program annotation, inserting binary code based on the program analysis, including inserting run-time code into a confidential part of the ML program and a non-confidential part of the ML program, and generating an ML model by executing the ML program with the inserted binary code to protect the confidentiality of the ML model and the ML program from attack.

Abstract: A computer-implemented method for implementing protocol-independent anomaly detection within an industrial control system (ICS) includes implementing a detection stage, including performing byte filtering using a byte filtering model based on at least one new network packet associated with the ICS, performing horizontal detection to determine whether a horizontal constraint anomaly exists in the at least one network packet based on the byte filtering and a horizontal model, including analyzing constraints across different bytes of the at least one new network packet, performing message clustering based on the horizontal detection to generate first cluster information, and performing vertical detection to determine whether a vertical anomaly exists based on the first cluster information and a vertical model, including analyzing a temporal pattern of each byte of the at least one new network packet.

Abstract: Systems and methods for implementing a system architecture to support a trusted execution environment (TEE) with computational acceleration are provided. The method includes establishing a first trusted channel between a user application stored on an enclave and a graphics processing unit (GPU) driver loaded on a hypervisor. Establishing the first trusted channel includes leveraging page permissions in an extended page table (EPT) to isolate the first trusted channel between the enclave and the GPU driver in a physical memory of an operating system (OS). The method further includes establishing a second trusted channel between the GPU driver and a GPU device. The method also includes launching a unified TEE that includes the enclave and the hypervisor with execution of application code of the user application.

Abstract: A computer-implemented method for efficient and scalable enclave protection for machine learning (ML) programs includes tailoring at least one ML program to generate at least one tailored ML program for execution within at least one enclave, and executing the at least one tailored ML program within the at least one enclave.

Abstract: Systems and methods for an automotive security gateway include an in-gateway security system that monitors local host behaviors in vehicle devices to identify anomalous local host behaviors using a blueprint model trained to recognize secure local host behaviors. An out-of-gateway security system monitors network traffic across remote hosts, local devices, hotspot network, and in-car network to identify anomalous behaviors using deep packet inspection to inspect packets of the network. A threat mitigation system issues threat mitigation instructions corresponding to the identified anomalous local host behaviors and the anomalous remote host behaviors to secure the vehicle devices by removing the identified anomalous local host behaviors and the anomalous remote host behaviors. Automotive security gateway services and vehicle electronic control units operate the vehicle devices according to the threat mitigation instructions.

Abstract: Systems and methods for implementing a system architecture to support a trusted execution environment (TEE) with computational acceleration are provided. The method includes establishing a first trusted channel between a user application stored on an enclave and a graphics processing unit (GPU) driver loaded on a hypervisor. Establishing the first trusted channel includes leveraging page permissions in an extended page table (EPT) to isolate the first trusted channel between the enclave and the GPU driver in a physical memory of an operating system (OS). The method further includes establishing a second trusted channel between the GPU driver and a GPU device. The method also includes launching a unified TEE that includes the enclave and the hypervisor with execution of application code of the user application.

Abstract: A method for implementing confidential machine learning with program compartmentalization includes implementing a development stage to design an ML program, including annotating source code of the ML program to generate an ML program annotation, performing program analysis based on the development stage, including compiling the source code of the ML program based on the ML program annotation, inserting binary code based on the program analysis, including inserting run-time code into a confidential part of the ML program and a non-confidential part of the ML program, and generating an ML model by executing the ML program with the inserted binary code to protect the confidentiality of the ML model and the ML program from attack.

Abstract: A computer-implemented method for implementing protocol-independent anomaly detection within an industrial control system (ICS) includes implementing a detection stage, including performing byte filtering using a byte filtering model based on at least one new network packet associated with the ICS, performing horizontal detection to determine whether a horizontal constraint anomaly exists in the at least one network packet based on the byte filtering and a horizontal model, including analyzing constraints across different bytes of the at least one new network packet, performing message clustering based on the horizontal detection to generate first cluster information, and performing vertical detection to determine whether a vertical anomaly exists based on the first cluster information and a vertical model, including analyzing a temporal pattern of each byte of the at least one new network packet.

Abstract: Systems and methods for an automotive security gateway include an in-gateway security system that monitors local host behaviors in vehicle devices to identify anomalous local host behaviors using a blueprint model trained to recognize secure local host behaviors. An out-of-gateway security system monitors network traffic across remote hosts, local devices, hotspot network, and in-car network to identify anomalous behaviors using deep packet inspection to inspect packets of the network. A threat mitigation system issues threat mitigation instructions corresponding to the identified anomalous local host behaviors and the anomalous remote host behaviors to secure the vehicle devices by removing the identified anomalous local host behaviors and the anomalous remote host behaviors. Automotive security gateway services and vehicle electronic control units operate the vehicle devices according to the threat mitigation instructions.

Abstract: Provided are a method of fabricating a semiconductor The method of fabricating a semiconductor device includes: transporting a substrate having a carbon-based sacrificial layer pattern to a processing chamber; forming a mask material layer on the substrate; removing the substrate from the processing chamber; and removing at least a part of a carbon-based material layer formed inside the processing chamber.

Abstract: Methods and systems for performance inference include inferring an internal application status based on a unified call stack trace that includes both user and kernel information by inferring user function instances. A calling context encoding is generated that includes information regarding function calling paths. Application performance is analyzed based on the encoded calling contexts. The analysis includes performing a top-down latency breakdown and ranking calling contexts according to how costly each function calling path is.

Abstract: Methods and systems for performance inference include inferring an internal application status based on a unified call stack trace that includes both user and kernel information by inferring user function instances. A calling context encoding is generated that includes information regarding function calling paths. Application performance is analyzed based on the encoded calling contexts. The analysis includes performing a top-down latency breakdown and ranking calling contexts according to how costly each function calling path is.

Abstract: Provided is a homogenizing mixer including: a container having an internal space so that materials whose properties differ are contained therein; a fixed frame that is disposed so as to be fixed at the bottom of the container, and communicates from the inside of the container; an agitating unit that is disposed in the fixed frame, so as to be lifted up and down by medium of an lifting unit, and that agitates the materials contained in the container; a driving unit that is disposed on the bottom of the agitating unit for transferring a rotational driving force for the agitating unit; and a discharging unit that is coupled to the agitating unit and discharging a homogenized material to the outside of the mixer.

Abstract: A printing apparatus having an automatic printing sheet feeder integrated thereto to improve mass productivity. The printing apparatus includes a base, a moving stage, an automatic printing sheet feeder, and a printing roll. The moving stage is linearly movable along the base, and has a lithographic plate seated on the top surface thereof, the lithographic plate having a printing pattern thereon. The automatic printing sheet feeder is installed on the moving stage. The automatic printing sheet feeder includes an unwinding roll, which supplies the printing sheet, a rewinding roll, which collects the printing sheet, and a plurality of guide rolls, which guide the printing sheet to pass through the printing area of the moving stage. The printing roll is installed on the base, and performs printing by transferring ink from recesses of a printing pattern of the lithographic plate to the printing sheet on the moving stage.

Abstract: The present invention relates to a luminous advertisement sheet. The luminous advertisement sheet includes a light-transmitting print sheet having an EL advertisement region formed in at least one area of the print sheet, and a general advertisement region formed in the other area thereof. The EL advertisement region has at least one of a fixed pattern portion in which a transparent electrode layer, an EL layer and a dielectric layer are sequentially laminated and a variable pattern portion in which a transparent electrode layer, an EL layer, a dielectric layer and a plurality of pixel electrode layers are sequentially laminated. The general advertisement region allows general dye printing to be performed therein. The luminous advertisement sheet further includes a pattern electrode layer laminated and printed with a conductive ink material to have a predetermined luminous pattern in at least one area of the dielectric layer laminated in the fixed pattern portion and/or the variable pattern portion.