Controlling highly prevalent Staphylococcus aureus mastitis from the dairy farm

In 57 Holstein cows where the dairy farm uses a milking parlor system, the somatic cell count (SCC) increased persistently in the bulk milk (monthly mean 52.3 × 10^4 cells/ml; range 21 to 94 × 10^4 cells/ml). We detected S. aureus in 24 (41.2%) of the 54 lactating cows and in 29 (12.8%) of 227 quarters of the 57 milking cows in the herd. A control program was implemented in an effort to eradicate S. aureus mastitis from this dairy farm. The control plan established improved handling of the lactating cows, improved milking procedures, dry-cow therapy, and culling of infected cows. The program was monitored for 3.5 years by frequent checkups on the rate of S. aureus infection, the SCC, and the changes in milk composition. Eighteen months after the control program was started, the rate of S. aureus infection in the quarter milk decreased dramatically, and no S. aureus isolates were found in the milk of the remaining cows. The SCC in the bulk milk of the herd dropped to a monthly mean of <20 × 10^4cells/ml. In conclusion, the control program was effective for controlling persistent S. aureus mastitis in this dairy herd

A Run-Time Power Analysis Method using OS-Observable Parameters for Mobile Terminals

2010 International Conference on Embedded Systems and Intelligent Technology (ICESIT 2010) : Feb 5, 2010 - Feb 7, 2010 : Chiang Mai, ThailandThis paper presents a lightweight power consumption model and its generation method for quickly and accurately analyzing the power consumption of wireless communication devices. Many power analysis methods for VLSI circuits have been proposed before. However, most of them are based on hardware simulation which is very slow and power consuming. Therefore, they cannot be applied for analyzing the run-time power consumption of battery powered devices where the low power consumption is the most important criterion. In our method, the power analysis can be done with a small overhead. Experimental results with an N810 terminal developed by Nokia, and an Android Dev Phone by HTC demonstrate that the error of our power analysis method is on an average 4.33% compared to the measured power results. Once the power consumption model has been developed for a target device, the power consumption of application programs running on the device can be analyzed in real-time with a small power overhead

A Run-Time Power Analysis Method using OS-Observable Parameters for Mobile Terminals

This paper presents a lightweight power consumption model and its generation method for quickly and accurately analyzing the power consumption of wireless communication devices. Many power analysis methods for VLSI circuits have been proposed before. However, most of them are based on hardware simulation which is very slow and power consuming. Therefore, they cannot be applied for analyzing the run-time power consumption of battery powered devices where the low power consumption is the most important criterion. In our method, the power analysis can be done with a small overhead. Experimental results with an N810 terminal developed by Nokia, and an Android Dev Phone by HTC demonstrate that the error of our power analysis method is on an average 4.33% compared to the measured power results. Once the power consumption model has been developed for a target device, the power consumption of application programs running on the device can be analyzed in real-time with a small power overhead.2010 International Conference on Embedded Systems and Intelligent Technology (ICESIT 2010) : Feb 5, 2010 - Feb 7, 2010 : Chiang Mai, Thailan