Abstract: Disclosed are novel compounds of Chemical Formula 1, optical isomers of the compounds, and pharmaceutically acceptable salts of the compounds or the optical isomers. The compounds, isomers, and salts exhibit excellent activity as GLP-1 receptor agonists. In particular, they, as GLP-1 receptor agonists, exhibit excellent glucose tolerance, thus having a great potential to be used as therapeutic agents for metabolic diseases. Moreover, they exhibit excellent pharmacological safety for cardiovascular systems.

Abstract: Provided is a fluid analysis apparatus and a method of controlling the same. The fluid analysis apparatus include an actuator provided on a part of the fluid analysis apparatus, a mounting portion on which a fluid accommodating cartridge is mounted thereon, the fluid accommodating cartridge provided with a well in which a fluid sample is accommodated, a measurement portion configured to transmit light to the fluid accommodating cartridge and detect an optical signal from the light passed through the fluid accommodating cartridge, and a controller configured to control an operation of the actuator based on the optical signal detected by the measurement portion such that the light transmitted from the measurement portion passes through a central portion of the well to perform an accurate inspection on the fluid sample.

Abstract: Provided is a method performed by a computing device for classifying a type of exploit.

Abstract: Provided is a method performed by a computing device for monitoring an abnormal behavior of a plurality IoT devices. The method comprises determining abnormality of a behavior of each of the plurality of IoT devices based on traffic data representing the behavior of each of the plurality of IoT devices, clustering the behavior of each of the plurality of IoT devices based on the traffic data and a result of the determining the abnormality and generating data for representing a plurality of clusters formed as a result of the clustering such that a first cluster corresponding to a normal behavior cluster and a second cluster corresponding to an abnormal behavior cluster are displayed on different planes, the first cluster and the second cluster being divided based on the result of the determining the abnormality.

Abstract: Provided is a method performed by a computing device for identifying a device. The method include receiving a target packet from an identification target device, extracting a pattern of the target packet, the target packet being transmitted by the identification target device from the packet, matching the pattern of the target packet with at least one of packet patterns stored in an identification information DB, comparing a first model name with a second model name, the first model name being corresponding to the matched pattern stored in the identification information DB, the second model name being selected by a user of a user terminal, and transmitting a proposed model name to the user terminal based on determining that the first model name and the second model name are different, the proposed model name being used for connection between the user terminal and the identification target device.

Abstract: Provided is a method performed by a computing device for identifying a device. The method include receiving a target packet from an identification target device, extracting a pattern of the target packet, the target packet being transmitted by the identification target device from the packet, matching the pattern of the target packet with at least one of packet patterns stored in an identification information DB, comparing a first model name with a second model name, the first model name being corresponding to the matched pattern stored in the identification information DB, the second model name being selected by a user of a user terminal, and transmitting a proposed model name to the user terminal based on determining that the first model name and the second model name are different, the proposed model name being used for connection between the user terminal and the identification target device.

Abstract: Provided is a method performed by a computing device for detecting abnormal behavior in a network. The method comprises obtaining a plurality of individual rules, wherein an individual rule of the plurality of individual rules is for extracting first output data from at least one input data set among a plurality of input data sets, the first output data satisfying a first extraction condition, obtaining a plurality of association rules, wherein an association rule of the plurality of association rules is for extracting second output data from at least one of the plurality of input data sets and the first output data, the second output data satisfying a second extraction condition and detecting abnormal behavior in a network based on third output data, the third output data being extracted using one of the plurality of individual rules and the plurality of association rules.

Abstract: An apparatus comprising a processor to execute the rule optimizer to perform a number of operations. One operation comprises obtaining 5 log data including a result of detecting an exploit attack based on a rule. Another operation comprises time-series analyzing the obtained log data to update at least some of previously applied detection rules. There is provided an apparatus for automatically optimizing a rule to improve the detection accuracy for an exploit attack in a rule-based attack detection system, and a method performed on the apparatus.

Abstract: An apparatus comprising a processor to execute the rule optimizer to perform a number of operations. One operation comprises obtaining 5 log data including a result of detecting an exploit attack based on a rule. Another operation comprises time-series analyzing the obtained log data to update at least some of previously applied detection rules. There is provided an apparatus for automatically optimizing a rule to improve the detection accuracy for an exploit attack in a rule-based attack detection system, and a method performed on the apparatus.

Abstract: Provided is a method for managing abnormal behavior of an IoT device performed at an IoT gateway connected to the IoT device. The method comprises collecting a transmission packet transmitted by of the IoT device, calculating historical time series metrics for the IoT device using the collected packet, setting normal ranges of the time series metrics using at least one of a maximum value, a minimum value, and an average value of a curvature of a curve generated based on mapping the calculated historical time series metrics onto a two-dimensional plane, and determining whether current time series metric calculated using a received packet from the IoT device are out of the normal ranges.

Abstract: Provided are methods and systems for identifying an Internet of things (IoT) device. A method of clustering an Internet of things (IoT) device, the method comprises determining a device group to which the IoT device belongs by applying the network packet of the IoT device obtained from the device identification apparatus to the clustering model, transmitting device group information according to the determination to the device identification apparatus and obtaining detailed identification information of the IoT device from the device identification apparatus, wherein the detailed identification information comprises a detailed model of the IoT device analyzed using the device group information.

Abstract: Provided is a method for classifying a cyber-attack performed in a computing device having an artificial neural network. The method comprises obtaining a plurality of features extracted from collected packets and inputting the plurality of features into the artificial neural network and using data output from the artificial neural network to determine a type of cyber-attack indicated by the collected packet.

Abstract: Provided is a fluid analysis apparatus and a method of controlling the same. The fluid analysis apparatus include an actuator provided on a part of the fluid analysis apparatus, a mounting portion on which a fluid accommodating cartridge is mounted thereon, the fluid accommodating cartridge provided with a well in which a fluid sample is accommodated, a measurement portion configured to transmit light to the fluid accommodating cartridge and detect an optical signal from the light passed through the fluid accommodating cartridge, and a controller configured to control an operation of the actuator based on the optical signal detected by the measurement portion such that the light transmitted from the measurement portion passes through a central portion of the well to perform an accurate inspection on the fluid sample.

Abstract: A fluid analysis cartridge with improved test reliability and an associated fluid analysis cartridge assembly are disclosed herein. A fluid analysis cartridge assembly includes a sample collecting member having a sample collecting chamber and a fluid analysis cartridge configured to be connected to the sample collecting member. The fluid analysis cartridge includes a sample receiving chamber configured to receive a sample collected by the sample collecting member and at least one hole arranged on one side of the sample receiving chamber and opened by connection of the sample collecting member to the fluid analysis cartridge to the at least one hole. The sample receiving chamber stores a buffer solution to be mixed with the sample.

Abstract: A fluid analysis cartridge with improved test reliability and an associated fluid analysis cartridge assembly are disclosed herein. A fluid analysis cartridge assembly includes a sample collecting member having a sample collecting chamber and a fluid analysis cartridge configured to be connected to the sample collecting member. The fluid analysis cartridge includes a sample receiving chamber configured to receive a sample collected by the sample collecting member and at least one hole arranged on one side of the sample receiving chamber and opened by connection of the sample collecting member to the fluid analysis cartridge to the at least one hole. The sample receiving chamber stores a buffer solution to be mixed with the sample.

Abstract: A device to process information is provided. According to an embodiment, a display unit is configured to display computer-generated objects. A processor is configured to receive selection input effective to select a particular computer-generated object from amongst the computer-generated objects. Manipulation input corresponding to detected motions is received. The particular computer-generated object is moved and rotated in its entirety in response to the manipulation input and in accordance with the detected motions. Each of the detected motions has a corresponding time period. A password is generated using the detected motions and the time periods. A user is authenticated by use of the generated password and an identified unrevealed authentication. The authentication of the user includes an indication of an authentication failure when the detected motions are different from an expected input and any of the corresponding time periods are outside of an allowable time range.

Abstract: A device to process information is provided. According to an embodiment, a display unit is configured to display computer-generated objects. A processor is configured to receive selection input effective to select a particular computer-generated object from amongst the computer-generated objects. Manipulation input corresponding to detected motions is received. The particular computer-generated object is moved and rotated in its entirety in response to the manipulation input and in accordance with the detected motions. Each of the detected motions has a corresponding time period. A password is generated using the detected motions and the time periods. A user is authenticated by use of the generated password and an identified unrevealed authentication. The authentication of the user includes an indication of an authentication failure when the detected motions are different from an expected input and any of the corresponding time periods are outside of an allowable time range.

Abstract: A device to process information is provided. According to an embodiment, a display unit is configured to display computer-generated objects. A processor is configured to receive selection input effective to select a particular computer-generated object from amongst the computer-generated objects. Manipulation input corresponding to detected motions is received. The particular computer-generated object is moved and rotated in its entirety in response to the manipulation input and in accordance with the detected motions. Each of the detected motions has a corresponding time period. A password is generated using the detected motions and the time periods. A user is authenticated by use of the generated password and an identified unrevealed authentication. The authentication of the user includes an indication of an authentication failure when the detected motions are different from an expected input and any of the corresponding time periods are outside of an allowable time range.

Abstract: A device to process information is provided. According to an embodiment, a display unit is configured to display computer-generated objects. A processor is configured to receive selection input effective to select a particular computer-generated object from amongst the computer-generated objects. Manipulation input corresponding to detected motions is received. The particular computer-generated object is moved and rotated in its entirety in response to the manipulation input and in accordance with the detected motions. Each of the detected motions has a corresponding time period. A password is generated using the detected motions and the time periods. A user is authenticated by use of the generated password and an identified unrevealed authentication. The authentication of the user includes an indication of an authentication failure when the detected motions are different from an expected input and any of the corresponding time periods are outside of an allowable time range.

Abstract: A sample analysis apparatus is provided with a structure for stopping rotation of a disc at a precise position. The sample analysis apparatus includes a disc configured to rotate on a rotation shaft and having at least one detection zone, an optical sensing apparatus configured to detect a reaction result at the at least one detection zone, at least one position determining protrusion provided on an exterior surface of the disc, a slider movably disposed to in a radial direction relative to the disc, and a stopper mounted to the slider and configured to stop rotation of the disc by blocking the at least one position determining protrusion.