Sungjun Hong, and Euntai Kim
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 51-57 https://doi.org/10.5391/IJFIS.2017.17.2.51*Keywords : Gait cycle partitioning, Gait recognition, Human identification, Width vector, Mass vector
Minkyu Cheon, and Heesung Lee
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 58-67 https://doi.org/10.5391/IJFIS.2017.17.2.58*Keywords : Vehicle detection, Hypothesis generation, Hypothesis verification, Hypothesis fitting, Histogram of oriented gradients, HOG symmetry, TER-RM
Yongseok Yoo
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 68-75 https://doi.org/10.5391/IJFIS.2017.17.2.68*Keywords : P300 wave, Brain-computer interface, Sequential detection, Wald’s approximation
Erdenebayar Urtnasan, Jong-Uk Park, SooYong Lee, and Kyoung-Joung Lee
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 76-81 https://doi.org/10.5391/IJFIS.2017.17.2.76*Keywords : Obstructive sleep apnea, Machine learning, SVM, LR, DT, LDA, KNN
Joo-Sung Kim, and Jung Sik Jeong
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 82-90 https://doi.org/10.5391/IJFIS.2017.17.2.82*Keywords : Vessel Traffic Services, Machine learning, Sea traffic route, Decision making, Pattern recognition
Wonseok Choi, Jungsub Oh, Heesu Kim, and Jaehyun Kim
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 91-97 https://doi.org/10.5391/IJFIS.2017.17.2.91*Keywords : Machine learning, Embedded system, AWKNN, MEMS sensor
Hyukdoo Choi
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 98-106 https://doi.org/10.5391/IJFIS.2017.17.2.98*Keywords : Convolutional neural networks, Image classification, Probability optimization
Do Khac Tiep, and Young-Jae Ryoo
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 107-113 https://doi.org/10.5391/IJFIS.2017.17.2.107*Keywords : Quadcopter, Fuzzy control, Attitude control, PID controller, MATLAB/Simulink
Yongwon Hwang, Mun-Ho Jeong, Sang-Rok Oh, and Changyong Yoon
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 114-120 https://doi.org/10.5391/IJFIS.2017.17.2.114*Keywords : Mean shift, Face tracking, Occlusion, Depth images, Coupled Support Map
Youngwan Cho, and Heejin Lee
Int. J. Fuzzy Log. Intell. Syst. -0001; 17(2): 121-128 https://doi.org/10.5391/IJFIS.2017.17.2.121*Keywords : Position estimation, Velocity estimation, Kalman filter, Sensor fusion, Map based GPS error correction
Multiple sensor fusion model.
|@|~(^,^)~|@|Simulated sensor profiles.
|@|~(^,^)~|@|Simulation result of sensor fusion.
|@|~(^,^)~|@|Multifarious sensor fusion model.
|@|~(^,^)~|@|Simulation result of multifarious sensor model.
|@|~(^,^)~|@|Approximation of moving pattern and the
Measurement error of the compared map matching algorithms. (a) Point-to-curve matching, (b) GPS error filter matching.
|@|~(^,^)~|@|Block diagram of the position and velocity estimator.
|@|~(^,^)~|@|Experimented navigation route.
|@|~(^,^)~|@|Experimental results of position estimating.