NWPerf: a system wide performance monitoring tool for large Linux clusters

2005 ◽  
Author(s):  
R. Mooney ◽  
K.P. Schmidt ◽  
R.S. Studham
Keyword(s):  
Performance Monitoring ◽  
Monitoring Tool

scholarly journals Measuring Procedural Justice Policy Adherence During Use of Force Events: The Body-Worn Camera as a Performance Monitoring Tool

2021 ◽  
pp. 088740342110218
Author(s):  
Victoria A. Sytsma ◽  
Eric L. Piza ◽  
Vijay F. Chillar ◽  
Leigh S. Grossman
Keyword(s):  
Procedural Justice ◽  
Performance Monitoring ◽  
Use Of Force ◽  
The Body ◽  
Policy Recommendations ◽  
Consent Decree ◽  
Monitoring Tool ◽  
Monitoring Tools ◽  
Systematic Social Observation ◽  
Social Observation

This study capitalizes on a successful researcher–practitioner partnership to conduct a systematic social observation (SSO) of police body-worn camera (BWC) footage in Newark, NJ. To demonstrate the utility of BWCs as performance monitoring tools, we measure officer adherence to procedural justice standards throughout use of force events as mandated in the Newark Police Division’s updated policies pursuant to an ongoing federal consent decree. Overall, a slim majority of use of force events are procedurally just. However, results indicate several instances of policy noncompliance. Results are discussed, and policy recommendations related to procedural justice policy violations and BWCs for performance monitoring are provided.

scholarly journals Use of lactation models to develop a cow performance monitoring tool in smallholder dairy farms

2012 ◽  
Vol 55 (5) ◽  
pp. 427-437
Author(s):  
B. S. Kawonga ◽  
M. G. G. Chagunda ◽  
T. N. Gondwe ◽  
S. R. Gondwe ◽  
J. W. Banda
Keyword(s):  
Performance Monitoring ◽  
Coefficient Of Determination ◽  
Management Decision ◽  
Monitoring Tool ◽  
Data Set ◽  
Prediction Ability ◽  
Holstein Friesian ◽  
Double Exponential ◽  
Smallholder Dairy ◽  
Cow Performance

Abstract. Animal performance monitoring is of enormous value for management decision-making at the individual farmer level as well as for the industry and country as a whole. The aim of the study was to develop a performance monitoring tool for existing smallholder dairy production system based on lactation curves. For this purpose three equations of Wood (1967), critical exponential and double exponential were compared to evaluate their fitting and prediction ability. The full data set comprised of 11481 daily milk records for Holstein-Friesian in various stages of lactation. Data of 84 Holstein-Friesian cows was used to develop lactation curves. Within each lactation, only milk yield from calving until 330 days post-calving were used. The three models were evaluated using three criteria which were the amount of variation accounted for by the model (coefficient of determination), b-value and distribution of residuals. Based on these criteria, the double exponential equation was selected for developing the cow performance monitoring (CPM) curve. The CPM curve was developed based on the mean lactation curve with its confidence interval generating the upper and lower limits. The CPM curve had high prediction rates (sensitivity=93% and specificity=93%) hence efficient enough to guide routine management of dairy animals in smallholder farms.

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