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: The present invention relates to a method for separating an organozinc catalyst from a polyalkylene carbonate polymerization solution, and the method of the present invention includes: stirring and aging a polymerization solution including a polyalkylene carbonate resin, an organozinc catalyst, an alkylene oxide and a polymerization solvent; and filtering the polymerization solution after completing the aging.

Abstract: A method of detecting an anomaly of a road side unit, which is performed by an anomaly detecting apparatus interworking with one or more road side units, may comprise: receiving traffic data from each of the one or more road side units; performing grouping on the one or more road side units based on the traffic data; generating input data of an artificial neural network based on a result of the performing of the grouping; generating output data of the artificial neural network based on the input data; and detecting an anomaly of each of the one or more road side units based on the output data.

Abstract: A method of judging reliability of a deep learning machine, includes: temporarily judging a class of data to be judged; checking an attack/normal ratio of temporarily judged data, configuring N mini-batches by using M test data that have been judged whether it is normal or attack data, and configuring T mini-batch sets each including the N mini-batches; and iteratively performing multiple times a process of judging the test data provided for each of the N mini-batches configuring the mini-batch sets to judge an attack/normal ratio of each of the N mini-batches, wherein the M test data that are used for each of the T mini-batch sets are the same but combinations of the test data of each of the mini-batches are different for each of the mini-batches and a size of each of the mini-batches is M/N.

Abstract: The present disclosure relates to an acrylic adhesive composition exhibiting excellent lap shear strength and adhesive strength by including an adhesion enhancer of a specific component.

Abstract: The disclosed relates to a method for preparing an organic zinc catalyst used in the synthesis of a polyalkylene carbonate resin, an organic zinc catalyst provided therefrom, and a method for preparing a polyalkylene carbonate resin using the catalyst. The organic zinc catalyst according to the present disclosure includes a predetermined amount of Zr on the surface through a simple process, and thus can exhibit improved catalytic activity as compared to a conventional catalyst in the polymerization process for preparing a polyalkylene carbonate resin.

Abstract: The present disclosure relates to a multilayer film including polyalkylene carbonate, and more particularly to a multilayer film including a core layer prepared by blending polyalkylene carbonate and an ethylene vinyl acetate copolymer in a predetermined ratio, and an outer layer of polyolefin. The multilayer film does not have delamination behavior because two layers are adhered each other with a simple process without an additional step for introducing an oxygen-barrier layer even without adhesive or tie layers, and has an excellent oxygen barrier property. In addition, since an additional process for imparting barrier properties and a separate adhesive or tie layer are not required in the manufacturing method, the cost can be reduced and the layer structure can be simplified, which may greatly reduce the manufacturing cost.

Abstract: Provided is a method of measuring a magnitude of magnetization of a perpendicular magnetic thin film, including: forming a stripe pattern in which a first magnetic domain that extends in a y direction and is magnetized in a z direction and a second magnetic domain that extends in the y direction and is magnetized in a direction opposite to the z direction are arranged alternately in an x direction, in a perpendicular magnetic thin film that extends in an xy plane; changing widths in the x direction, of the first and second magnetic domains by applying a magnetic field having a predetermined magnitude, in the z direction, to the perpendicular magnetic thin film; and calculating an absolute value of the magnetization of the perpendicular magnetic thin film on the basis of a ratio between the widths in the x direction, of the first magnetic domain and the second magnetic domain.

Abstract: The present disclosure relates to a method for preparing a polyalkylene carbonate. More specifically, provided is a method for preparing a polyalkylene carbonate in which after polymerization of polyalkylene carbonate, a mixture from which unreacted carbon dioxide and residual catalyst have been removed is charged into a stripper to remove the unreacted epoxide compound, and then heat-exchanged before removing the solvent to increase the temperature of the mixture stream to the maximum level, which is subjected to a heating step, following by a solvent removal step, whereby the amount of steam required in the heating step is reduced, side reactions due to unreacted epoxide compounds are prevented, and steam energy can be reduced in the solvent removal step.

Abstract: The present disclosure relates to a polyalkylene carbonate-polylactic acid composite having improved mechanical properties as well as excellent transparency and flexibility, a method of preparing the same, and a molded article prepared by using the polyalkylene carbonate-polylactic acid composite.

Abstract: The present invention provides an organometal catalyst having a cationic transition metal complex and a borate-based bulky anion, a method for preparing the same, and a method for preparing an oligomer using the same.

Abstract: A sealing device of a swing-in door for a bus may include a lower sealing member configured to be hingedly coupled to an outdoor side of a lower end portion of the swing-in door, and a guide arm configured to be coupled to the lower end portion of the swing-in door to rotate the swing-in door in an opposite direction when rotated.

Abstract: The present disclosure relates to a method for separating an organic zinc catalyst dispersed in a polyalkylene carbonate resin solution by filtering the polyalkylene carbonate resin solution using a composite filtering membrane, which is a composite material comprising a hydroxyl group-containing material and polyolefin material and has a form in which one or both surfaces of the polyolefin material is coated with the hydroxyl group-containing material.

Abstract: The present disclosure relates to a polyalkylene carbonate-based resin having an excellent effect of suppressing a blocking phenomenon as well as excellent mechanical properties and thermal stability, a method of preparing the same, and a molded article prepared from the polyalkylene carbonate-based resin.

Abstract: The present disclosure relates to a method of preparing an organic zinc catalyst through solid phase blending that does not require a solvent and a washing process, and a method of preparing a polyalkylene carbonate resin by using the organic zinc catalyst prepared thereby.

Abstract: A weather strip assembly which is applied to a door of a commercial vehicle for passenger transport is provided. The weather strip assembly includes a body weather strip installed along a circumference of a portion in which a door is installed in a body of a vehicle and brought into contact with the door in two or more portions when the door is closed, and a door weather strip installed in the door along a circumference of the door and brought into contact with the body weather strip when the door is closed.

Abstract: A two-component adhesive composition includes: (i) a first part of a (meth)acrylate-based monomer mixture including components (a1) to (a3) below: (a1) an alkyl (meth)acrylate compound, and any one or more of a (meth)acrylate compound having an alkoxysilyl group, and a (meth)acrylate compound having an unsaturated functional group except for an acryloyl group, (a2) 50 to 100 parts by weight of an adhesive reinforcing agent relative to the 100 parts by weight of the (meth)acrylate-based monomer mixture, and (a3) 1 to 10 parts by weight of a filler relative to the 100 parts by weight of the (meth)acrylate-based monomer mixture; and (ii) a second part including components (b1) and (b2) below with a weight ratio of 1:1 to 20:1, where (b1) 100 parts by weight of an epoxy resin, and (b2) 50 to 150 parts by weight of an initiator with respect to (b1).

Abstract: The present invention relates to a method for purifying polyalkylene carbonate. More specifically, a method for purifying polyalkylene carbonate is provided, which uses a multistage extraction column having the number of stages of at least 10 stages, using water for effectively removing by-products such as alkylene carbonate generated in a process for producing polyalkylene carbonate resin, thereby controlling the content of by-products to a certain level or less through a continuous operation, particularly, the extraction is performed at room temperature, thereby easily removing by-products in the resin without a high temperature volatilization.

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.