Abstract: An embodiment of the present invention provides a machining system that can lengthen the lifespan of a tool and improve the machining quality of a workpiece by managing the amount of wear of the tool by machining the workpiece using the other portion of the tool when a portion of the tool is worn and the machining performance of the tool is decreased.

Abstract: A method for managing an enrollment certificate in an SCMS for V2X communication may comprise receiving a message requesting an authority for generating a CSR from a DCM; updating device certification data through a certification laboratory that manages performance and requirements of an EE, and verifying the EE that requested issuance of an enrollment certificate to the DCM by using the updated device certification data; transmitting response data indicating the authority for generating a CSR to the DCM based on a result of the verification; receiving a CSR generated according to the response data from the DCM; and verifying the received CSR, and requesting response data for the CSR to an ECA based on a result of the verification.

Abstract: According to one embodiment of the present disclosure, there is provided a failure diagnosis device used for diagnosing the presence of failure or abnormal operation of a wheel bearing. The failure diagnosis device according to one embodiment of the present disclosure may comprise a housing; a magnetic coupling part provided in the housing; and a sensing part provided in the housing and configured to detect physical characteristic related to an operational state of a vehicle. According to one embodiment of the present disclosure, the sensing part may comprise an acceleration sensor configured to collect acceleration information, and the failure diagnosis device may be configured to be detachably mounted to one side of a wheel by virtue of a magnetic force generated by the magnetic coupling part.

Abstract: Provided is a method of machine learning for a convolutional neural network (CNN). The method includes: receiving input target data; determining whether to initiate incremental learning on the basis of a difference between a statistical characteristic of the target data with respect to the CNN and a statistical characteristic of previously used training data with respect to the CNN; determining a set of kernels with a high degree of mutual similarity in each convolution layer included in the CNN when the incremental learning is determined to be initiated; and updating a weight between nodes to which kernels included in the set of kernels with a high degree of mutual similarity are applied.

Abstract: Provided is a method for detecting a driver's abnormalities based on a CAN (Controller Area Network) bus network communicating with an ECU (Electronic Control Unit) of a vehicle. The method may include: acquiring a CAN bus signal related to an operation of the vehicle from the CAN bus network; extracting a detection vector from the CAN bus signal using an auto encoder; and detecting a driver's abnormality based on the detection vector.

Abstract: An operation method of a communication node in a communication network may comprise receiving CAN signals from a plurality of CAN communication nodes; generating forward input data by performing forward preprocessing on the received CAN signals based on forward sampling times; generating forward mask data for the forward input data and forward time interval data according to the forward sampling times; generating backward input data by performing backward preprocessing on the CAN signals based on backward sampling times; generating backward mask data for the backward input data and backward time interval data according to the backward sampling times; and detecting an abnormal signal among the CAN signals by inputting the forward input data, forward mask data, forward time interval data, backward input data, backward mask data, and backward time interval data into a gated recurrent unit-decay (GRU-D) neural network.

Abstract: An embodiment of the present invention provides a system in which it is possible to control a movement speed of a machining unit such that a machining load value of the machining unit is maintained to be equal to or smaller than a reference machining load value, and thus it is possible to lower a defective rate of a machining target and to improve stability of a robot.

Abstract: Disclosed is an LCD device which realizes decreased thickness, simplified process, and decreased cost by using a common electrode for formation of electric field to drive liquid crystal as a sensing electrode, and removing a touch screen from an upper surface of the liquid crystal panel, the LCD device comprising gate and data lines crossing each other to define plural pixels on a lower substrate; a pixel electrode in each of the plural pixels; plural common electrode blocks patterned at the different layer from the pixel electrode, wherein the common electrode blocks, together with the pixel electrode, forms an electric field, and senses a user's touch; and plural sensing lines electrically connected with the common electrode blocks, wherein, if the sensing line is electrically connected with one of the common electrode blocks, the sensing line is insulated from the remaining common electrode blocks.

Abstract: Disclosed herein are a method and an apparatus for detecting abnormal traffic based on a convolutional autoencoder (CAE). The method of detecting abnormal traffic based on the CAE may include converting a character string of normal traffic into an image, learning the converted image using the CAE, and detecting abnormal traffic by inputting target traffic to the learned CAE.

Abstract: Provided are a device and method for sharing big data using a blockchain. The method of sharing big data using a blockchain includes receiving a search condition from a user terminal, searching a blockchain network for metadata meeting the received search condition and acquiring found metadata, acquiring shared data stored in a distributed storage using the acquired metadata, and transmitting the acquired shared data to the user terminal.

Abstract: The present disclosure provides a security system comprising: a WAS plug-in agent installed on a web application server (WAS) or a WEB plug-in agent installed on a web server (WEB), wherein the WAS plug-in agent or WEB plug-in agent is configured to collect transaction information; and a management server configured to: receive the transaction information from the WAS plug-in agent or WEB plug-in agent; determine whether the transaction information is normal or abnormal; generate detection information based on the determination; and upon determination that the transaction information is abnormal, transmit, to the WAS plug-in agent or the WEB plug-in agent, a blocking instruction to block a transaction corresponding to the abnormal transaction information. According to the present disclosure, the analysis of decrypted transaction information may allow detecting SSL/TLS based encrypted attacks and coping with web hacking attacks at session level after normal login.

Abstract: Disclosed is an LCD device which realizes decreased thickness, simplified process, and decreased cost by using a common electrode for formation of electric field to drive liquid crystal as a sensing electrode, and removing a touch screen from an upper surface of the liquid crystal panel, the LCD device comprising gate and data lines crossing each other to define plural pixels on a lower substrate; a pixel electrode in each of the plural pixels; plural common electrode blocks patterned at the different layer from the pixel electrode, wherein the common electrode blocks, together with the pixel electrode, forms an electric field, and senses a user's touch; and plural sensing lines electrically connected with the common electrode blocks, wherein, if the sensing line is electrically connected with one of the common electrode blocks, the sensing line is insulated from the remaining common electrode blocks.

Abstract: Disclosed is a method of detecting whether a groupware user's behavior is an abnormal behavior. The method includes acquiring a uniform resource identifier (URI) from the user's behavior, generating a URI sequence from the URI on the basis of a predetermined time interval, preprocessing the URI sequence to generate a primitive URI sequence, calculating a log probability value from the primitive URI sequence, and detecting whether the user's behavior is an abnormal behavior on the basis of the log probability value and a predetermined threshold value.

Abstract: Provided are a method and device for performing authentication using a hardware security module (HSM) in a one machine-to-machine (oneM2M) environment. The method of performing authentication using an HSM in a oneM2M environment includes extracting a symmetric key stored in the HSM using a security application programming interface (API), generating a first value and a second value using the extracted symmetric key, and performing mutual authentication with an M2M enrolment function (MEF) server through transport layer security pre-shared key ciphersuites (TLS-PSK) using the first value and the second value.

Abstract: Disclosed herein are a method and an apparatus for detecting abnormal traffic based on a convolutional autoencoder (CAE). The method of detecting abnormal traffic based on the CAE may include converting a character string of normal traffic into an image, learning the converted image using the CAE, and detecting abnormal traffic by inputting target traffic to the learned CAE.

Abstract: A method for managing an enrollment certificate in an SCMS for V2X communication may comprise receiving a message requesting an authority for generating a CSR from a DCM; updating device certification data through a certification laboratory that manages performance and requirements of an EE, and verifying the EE that requested issuance of an enrollment certificate to the DCM by using the updated device certification data; transmitting response data indicating the authority for generating a CSR to the DCM based on a result of the verification; receiving a CSR generated according to the response data from the DCM; and verifying the received CSR, and requesting response data for the CSR to an ECA based on a result of the verification.

Abstract: Provided is a carbon fiber reinforced plastic machining method using CAM which includes the step (S10) of determining machining grade in accordance with a machining target and the step (S20) of determining machining grade in accordance with a machining process, in which the machining grade is a processing condition which is determined in accordance with the rotational speed and the feeding speed of a spindle as a machining tool.

Abstract: Disclosed is a method for detecting anomaly traffic using an autoencoder based on an inception-residual network-v2 which is one type of machine learning methods, the method including generating a plurality of encoders on the basis of traffic data for learning; generating a plurality of pieces of image data on the basis of traffic data for each session, which is a detection target; and determining whether the traffic data for each session is abnormal using at least one among the traffic data for learning, the plurality of encoders, and the plurality of pieces of image data.

Abstract: An organic light emitting display device includes a driving TFT on the substrate, a switching TFT on the substrate, and an organic light emitting diode. The driving TFT includes a first active layer formed of poly-Si, and at least a first part of an interlayer insulation layer on the first active layer. The interlayer insulation layer is formed of a first material including hydrogen. The switching TFT includes a second active layer, at least a second part of the interlayer insulation layer between the first active layer and the second active layer, and at least a part of a gate insulation layer between the second part of the interlayer insulation layer and the second active layer. The gate insulation layer is formed from a second material different from the first material and blocking diffusion of hydrogen from the interlayer insulation layer to the second active layer.

Abstract: Provided are an apparatus and method for verifying the integrity of a video file. The method includes receiving a video file and model information of a video recording device which is claimed to have recorded a verification-target video, extracting a header structure and a header value of the video file, extracting characteristic information according to the received model information of the video recording device from a characteristic database, and determining whether the extracted characteristic information according to the model information of the video recording device corresponds to the header structure and the header value of the video file.