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In this paper, we evaluate the correction filter for human activity identification using Multiple-Input Multiple-Output (MIMO) radar. The human activity is estimated by the trajectory of the estimated height and Radar Cross Section (RCS). We confirm that the filtering technique is effective in increasing the identification rate of the human activity, and the highest recognition rate is over 90%.
This paper proposes a cooperative Multiple-Input Multiple-Output (MIMO) radar for human localization and clarifies the improvement effect of human localization accuracy by the experiment in an indoor environment. In this method, the MUltiple Signal Classification (MUSIC) spectrums observed at all stations are multiplied to enjoy the accuracy and range enhancement due to the multiple stations. The...
In this paper, we propose estimation method of living body direction using parasitic antennas, where only an RSSI (Received Signal Strength Indicator) is used. The measurements were carried out in an indoor environment, and the experimental results showed that the angular error is less than 9.5° even if the phase information of the received signal is not available.
Reducing design and operational margin is a key factor that makes fabricated chips competitive in terms of speed and power consumption. On the other hand, a smaller margin involves a higher risk that a timing error occurs in field. This paper proposes a stochastic framework that estimates timing error rate under static process variations and dynamic environmental variations for circuits with and without...
This paper proposes an area efficient device parameter estimation method with sensitivity-configurable ring oscillator (RO). This sensitivity-configurable RO has a number of configurations and the proposed method exploits this property for reducing sensor area and/or improving estimation accuracy. The proposed method selects multiple sets of sensitivity configurations, obtains multiple estimates and...
This paper proposes a stochastic framework for error rate estimation that models adaptive speed control as a continuous-time Markov process and derives its transition rates using developed similarity database. The proposed framework is implemented for adaptive speed control systems based on timing error prediction and scan-test. Experimental results show that the proposed framework enabled 12 orders...
Tsumura Suzuki obese diabetic (TSOD) mouse is a new model of type 2 diabetes mellitus and obesity. The TSOD mice had hypoadiponectinemia. To assess the glucose utilization and insulin sensitivity, we examined the effect of insulin (1U/kg) on peripheral tissue glucose uptake in vivo in the TSOD and Tsumura Suzuki nonobese mouse using 2-deoxy-d-[ 3 H]glucose. The rates constant of glucose uptake...
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