Abstract During the electroencephalogram (EEG) activity, human skin becomes warmer which is measured by brain computer interface. We have conducted experiments that measure the relation between the optical radiation and the corresponding temperature. We have used the EEG system with 14 channels with the laboratory conditions. We have recorded data at many places with the help of infrared camera. We consider... During the electroencephalogram (EEG) activity, human skin becomes warmer which is measured by brain computer interface. We have conducted experiments that measure the relation between the optical radiation and the corresponding temperature. We have used the EEG system with 14 channels with the laboratory conditions. We have recorded data at many places with the help of infrared camera. We consider the room conditions and the patients’ nature. With the help of thermography analysis, we have documented the emissivity coefficients of the objects. Read More Read Less

Abstract In the multiclass image classification, the Kernel based Extreme Learning Machines are used in this work. To ensure perfection and accuracy of results we have used the Local Binary Pattern image description process. To get robustness in the illumination and resolution changes, the local binary pattern based global image description is used. We further categorized the images with K-ELM model.... In the multiclass image classification, the Kernel based Extreme Learning Machines are used in this work. To ensure perfection and accuracy of results we have used the Local Binary Pattern image description process. To get robustness in the illumination and resolution changes, the local binary pattern based global image description is used. We further categorized the images with K-ELM model. Experiments were conducted using a standard benchmarking dataset with approximately 1000 images which are classified into ten divisions. The results confirm best accurately the results while comparing with other compatiable models. Read More Read Less

Abstract In this work, we have introduced a new interface that can able to visualize the 3D mesh form of the Polygon File Format and it is used to reflect the Martian terrain data. It is diagonally opposite to the crater location that relates the center and diameter of the input file. The generated program can able to check the designs... In this work, we have introduced a new interface that can able to visualize the 3D mesh form of the Polygon File Format and it is used to reflect the Martian terrain data. It is diagonally opposite to the crater location that relates the center and diameter of the input file. The generated program can able to check the designs and adjust the results which are generated with detection algorithm. To ensure ergonomic interface and features we have used the validation process. Read More Read Less