Abstract: Controlling a speed limit includes determining a virtual vehicle speed as being a lower one of a vehicle speed and a target limit speed, determining a virtual APS value as being a larger one of a first APS value and a second APS value, transitioning to a second mode at a point in time at which an actual APS value and the second APS value become different, when it is expected to transition to the second mode, among a first mode for sustaining a SOC of a battery at the target limit speed and the second mode for depleting the SOC, and determining a transmission gear position by applying the determined virtual vehicle speed and the determined virtual APS value to one of a first shifting pattern and a second shifting pattern.

Abstract: A brake lamp control method of a vehicle is provided. The method includes determining whether a deceleration of the vehicle based on regenerative brake through the electric motor is present in a hysteresis period between an off threshold as a reference for turning off a brake lamp and an on threshold as a reference for turning on the brake lamp. When the deceleration of the vehicle is present in the hysteresis period, the method includes determining a state of the brake lamp before the deceleration of the vehicle enters the hysteresis period. In response to determining that the brake lamp is turned on or off for a reason except for the regenerative brake before the deceleration of the vehicle enters the hysteresis period, a request for turning on the brake lamp is set or reset based on the regenerative brake in response to the determined state of the brake lamp.

Abstract: An apparatus and method control regenerative braking torque of an electric vehicle on which an anti-lock brake system (ABS) is mounted. The apparatus and method can compensate the regenerative braking torque of the driving motor based on the behavior model of the electric vehicle, such that the ABS is prevented from entering an operating range to the maximum limit to maximize the energy recovery rate through regenerative braking. The apparatus includes a disturbance extractor that extracts a disturbance in a specific frequency band from a difference between a behavior model and an actual behavior of the electric vehicle. The apparatus includes a torque compensator that compensates for the regenerative braking torque based on the disturbance extracted by the disturbance extractor.

Abstract: Provided is a method of identifying a candidate gene for a genetic disease includes obtaining a disease network, disease-gene association information, and a gene network, obtaining a single nucleotide polymorphism (SNP) network based on intra-relation data between a plurality of SNPs, and inter-relation data between genes and SNPs, creating a disease-gene-SNP multilayered network based on the disease network, the disease-gene association information, the gene network, the SNP network, and the interrelation data between genes and SNPs, and identifying a candidate gene for a genetic disease using the multilayered network.

Abstract: Provided is a method of visualizing a plurality of nodes respectively including a plurality of variable values for a data object. The method includes: allocating a predetermined upper limit value and a predetermined lower limit value for each of a plurality of variables to vertices of a three-dimensional polygon facing each other; respectively determining partial positions related to the variables for the nodes based on the upper limit value and the lower limit value for each of the variables, a maximum variable value and a minimum variable value for each variable from among variable values of the nodes, and the variable values of the nodes; respectively determining final positions of the nodes in the three-dimensional polygon based on the determined partial positions; and arranging the nodes in the three-dimensional polygon according to the determined final positions.

Abstract: Provided is a method of visualizing a plurality of nodes respectively including a plurality of variable values for a data object. The method includes: allocating a predetermined upper limit value and a predetermined lower limit value for each of a plurality of variables to vertices of a three-dimensional polygon facing each other; respectively determining partial positions related to the variables for the nodes based on the upper limit value and the lower limit value for each of the variables, a maximum variable value and a minimum variable value for each variable from among variable values of the nodes, and the variable values of the nodes; respectively determining final positions of the nodes in the three-dimensional polygon based on the determined partial positions; and arranging the nodes in the three-dimensional polygon according to the determined final positions.