Abstract This study constructed a vehicle type identification system that based on piezoelectric sensing and laser ranging, which could automatically identify vehicle types even the vehicles were in high-speed driving state, thus solved an urging problem of traffic management departments. The vehicle type identification system in this study used laser ranging sensor to measure the height of vehicles and in the meantime, it used... This study constructed a vehicle type identification system that based on piezoelectric sensing and laser ranging, which could automatically identify vehicle types even the vehicles were in high-speed driving state, thus solved an urging problem of traffic management departments. The vehicle type identification system in this study used laser ranging sensor to measure the height of vehicles and in the meantime, it used driving speed and the laser frequency of laser ranging sensor to obtain vehicles’ length. Vehicles’ widths were measured by managing the pictures captured by webcam. Based on the vehicle type identification system that used piezoelectric film traffic sensor, this study additionally installed a laser ranging sensor and webcam, and used laser ranging sensor to obtain vehicles’ height and used webcam to capture pictures to obtain vehicles’ width, which did not only obtain chassis information of vehicles in real time, but also obtained vehicles’ length, width and height at the same time. It covered main features of vehicles as well as improved veracity and reliability of vehicle type identification system. Read More Read Less

Abstract In this paper, a segmentation template matching-based electrocardiogram compression algorithm for mobile device applications is proposed and implemented. Templates for PQ interval, QRS complex, and ST interval are created. Only the template code that closely matches the input signal is saved. The algorithm’s performance is evaluated using the Massachusetts Institute of Technology–Boston’s Beth Israel Hospital Normal Sinus Rhythm Database and... In this paper, a segmentation template matching-based electrocardiogram compression algorithm for mobile device applications is proposed and implemented. Templates for PQ interval, QRS complex, and ST interval are created. Only the template code that closely matches the input signal is saved. The algorithm’s performance is evaluated using the Massachusetts Institute of Technology–Boston’s Beth Israel Hospital Normal Sinus Rhythm Database and with a different sampling rate. When using a 128-Hz sampling rate, the average compression ratio and percentage of root mean square difference are 7.94 and 5.33, respectively. Read More Read Less

Abstract We propose new technique for clock gating. Clock gating is helpful for reducing power consumed in digital systems. There are three technique used, viz., (i) Synthesis Based method (ii) Data driver Method, and (iii) Auto gated flip flop (AGFF). The Auto gated Flip flop can be distributed in the clock distribution network. Clock distribution uses current other than voltage by... We propose new technique for clock gating. Clock gating is helpful for reducing power consumed in digital systems. There are three technique used, viz., (i) Synthesis Based method (ii) Data driver Method, and (iii) Auto gated flip flop (AGFF). The Auto gated Flip flop can be distributed in the clock distribution network. Clock distribution uses current other than voltage by giving global clock. With auto gated flip flop, it is used for power sowing. Clock gating can be tested in current mode pulsed flip flop which enable urrent-Mode Pulsed Flip-Flop with Enable (CMPFFE) using 48nm CMOS technology. In the Look Ahead Clock Gating (LACG) computers, the clock signals at one cycle ahead of time. The Flip flop depends on the present cycle in LACG. This model can be characterized by power saved in FF. This technique is based on a data to clock togging. Majority of the FF fall in positive Region. Experimentation shows that the industry-scale data displays 22.5% reduction of clock power. Read More Read Less