scholarly journals Heat Stress Risk Prediction by Using Bayesian Net Model with Sensor Network

2014 ◽  
Author(s):  
Kanchan M. Taiwade ◽  
Prakash S. Mohod
Keyword(s):  
Heat Stress ◽  
Sensor Network ◽  
Risk Prediction

scholarly journals WSN Spatio-temporal Correlation Data Fusion Method for Dairy Cow

2017 ◽  
Vol 13 (12) ◽  
pp. 26
Author(s):  
Huaji Zhu ◽  
Yisheng Miao ◽  
Huarui Wu
Keyword(s):  
Heat Stress ◽  
Wireless Sensor Network ◽  
Data Fusion ◽  
Power Consumption ◽  
Dairy Cows ◽  
Sensor Network ◽  
Dairy Cow ◽  
Environmental Parameters ◽  
Wireless Sensor ◽  
Average Power Consumption

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;" lang="EN-GB">The cowshed environment has significant impacts on the yield, diseases and behaviors of dairy cows. Heat stress, in particular, has a great impact on yield. The cowshed environment monitoring system based on wireless sensor network can accurately sense the temperature and other environmental parameters in real time and provide basis for manual environmental intervention and control. Energy constraint is one of the important problems that affect the long-term stable monitoring by the dairy cow wireless sensor network. So, the weighted Markov chain method is used to predict the time series of cowshed temperature. Replacing the actual values with the predicted values at the cluster head can effectively reduce data traffic in the cluster, thereby reducing network power consumption. Test data show that, the average variance of the cowshed environment temperature predicted by the method proposed in this paper is 0.185, and the average power consumption is reduced by about 40% when the compression ratio is 0.3, which effectively prolongs the network lifetime. In addition to that, the cowshed environment prediction can also help make pre-judgments for environmental control, reduce or avoid the heat stress of dairy cows after the environmental parameters exceed the thresholds and provide the basis for the multi-source data fusion for dairy cow.</span>

scholarly journals Human Heat stress risk prediction in the Brazilian semiarid Region based on the Wet-Bulb Globe Temperature

2019 ◽  
Vol 91 (3) ◽  
Author(s):  
BEATRIZ FÁTIMA A. DE OLIVEIRA ◽  
ISMAEL HENRIQUE SILVEIRA ◽  
RENATO C. FEITOSA ◽  
MARCO AURÉLIO P. HORTA ◽  
WASHINGTON L. JUNGER ◽  
...  
Keyword(s):  
Heat Stress ◽  
Risk Prediction ◽  
Semiarid Region ◽  
Wet Bulb Globe Temperature ◽  
Brazilian Semiarid ◽  
Globe Temperature

Newer Markers Don't Improve Risk Prediction

2012 ◽  
Vol 45 (12) ◽  
pp. 10-11
Author(s):  
MARY ANN MOON
Keyword(s):  
Risk Prediction

Calcium Score Improves CHD Risk Prediction

2010 ◽  
Vol 40 (9) ◽  
pp. 9
Author(s):  
MARY ANN MOON
Keyword(s):  
Risk Prediction ◽  
Calcium Score ◽  
Chd Risk

Exon-level gene expression analyses of primary neuroblastoma improves risk prediction and identifies JARID1C as a candidate target

2009 ◽  
Vol 221 (03) ◽  
Author(s):  
A Schramm ◽  
B Schowe ◽  
T Thor ◽  
M Baumann ◽  
S Dreesmann ◽  
...  
Keyword(s):  
Gene Expression ◽  
Risk Prediction ◽  
Gene Expression Analyses ◽  
Candidate Target ◽  
Exon Level
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