Earticle

Detection of gait characteristics has found considerable interest in field of biomechanics and rehabilitation sciences. In this paper an approach for abnormal gait detection employing Discrete Fourier Transform (DFT) analysis has been presented. The joint angle characteristics in frequency domain have been analyzed and using the harmonic coefficient recognition for abnormal gait has been performed. The experimental results and analysis represent that the proposed algorithm based on DFT can not only reduce the gait data dimensionality effectively, but also lighten the computation cost, with a satisfactory distinction. In order to make the algorithm more generic, a Mean Square Error (MSE) analysis is also presented. Future work will be the expansion of the detection introduced in this system to include abnormality detection instead of just an abnormal or normal detection that would prove to be a valuable addition for use in a variety of applications, including unobtrusive clinical gait analysis, automated surveillance in addition to a variety of others.

In this paper we provide an adaptive modulation approach that uses adaptive pilot symbols which both pilot spacing and power allocation on pilot symbols are optimized in single input multiple output systems to maximize the spectral efficiency. The maximization is performed in the presence of imperfect channel state information at the transmitter. Also for reduce the computational complexity we propose a new method based on the curve fitting to find optimum power allocation on symbols. We provide closed forms expression for average spectral efficiency and average bit error rate over Rayleigh fading channel. Numerical results show the accuracy of our new method and demonstrate that our adaptive system outperforms other traditional systems that use of non-adaptive pilot symbols with single antenna based on spectral efficiency performance measure.

Conventional airlift contactor (UT-ALC) was modified to improve its performance. The modified system (CDT-ALC) was tested for gas hold-up characteristics. Hydrodynamic environment depends on gas hold-up. New system reported 50 % higher gas hold-up. Linear relation between superficial gas velocity and fractional gas hold-up were developed from experimental data for both the reactors.

We have developed an autonomously dancing humanoid, based on the Hitec Robonova platform, that is able to perform sequences of smooth movements in synchrony with music. Our system automatically determines the locations of beats from the acoustic signal of music in real-time, and this information is used to coordinate the motions of the robot, enabling it to perform rudimentary dances. The small (14 inch-tall) RoboNova serves as a prototype development platform for a much larger and more sophisticated humanoid, the KAIST Hubo, which is capable of more fluid and human-like movements. But by first developing and testing systems and algorithms on the smaller robot, we reduce the risk of damaging the larger and more costly Hubo. Regardless of the humanoid platform, however, it is difficult to synthesize motions that appear expressive and artistic. We developed our prototype dancing humanoid in order to further investigate and, hopefully, quantify some parameters of creative movement.