FV-MSB: A Scheme for Reducing Transition Activity on Data Buses

Author(s):  
Dinesh C. Suresh ◽  
Jun Yang ◽  
Chuanjun Zhang ◽  
Banit Agrawal ◽  
Walid Najjar
Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3117
Author(s):  
Junhao Shi ◽  
Decheng Zuo ◽  
Zhan Zhang

With the development and popularity of micro-electromechanical systems (MEMS) and smartphones, sensor-based human activity recognition (HAR) has been widely applied. Although various kinds of HAR systems have achieved outstanding results, there are still issues to be solved in this field, such as transition activities, which means the transitional process between two different basic activities, discussed in this paper. In this paper, we design an algorithm based on standard deviation trend analysis (STD-TA) for recognizing transition activity. Compared with other methods, which directly take them as basic activities, our method achieves a better overall performance: the accuracy is over 80% on real data.


2014 ◽  
Author(s):  
Anthony J. Plotner ◽  
John S. Trach ◽  
Kathleen M. Oertle ◽  
Allison R. Fleming

2018 ◽  
Vol 7 (3.1) ◽  
pp. 34
Author(s):  
Vithyalakshmi. N ◽  
Nagarajan P ◽  
Ashok Kumar.N ◽  
Vinoth. G.S

Low power design is a foremost challenging issue in recent applications like mobile phones and portable devices. Advances in VLSI technology have enabled the realization of complicated circuits in single chip, reducing system size and power utilization. In low power VLSI design energy dissipation has to be more significant. So to minimize the power consumption of circuits various power components and their effects must be identified. Dynamic power is the major energy dissipation in micro power circuits. Bus transition activity is the major source of dynamic power consumption in low power VLSI circuits. The dynamic power of any complex circuits cannot be estimated by the simple calculations. Therefore this paper review different encoding schemes for reduction of transition activity and power dissipation. 


2003 ◽  
Vol 39 (20) ◽  
pp. 1436 ◽  
Author(s):  
Z. Khan ◽  
A.T. Erdogan ◽  
T. Arslan

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