Instrumentation, Data Collection, and Quality Control

Data Collection and Recording Instrumentation for Command, Control, and Communications

Instrumentation has been developed to acquire and record performance data for analysis of Navy communications systems. The existing two basic models are modular, multimicroprocessor-based systems using state-of-the-art devices. They were designed to collect, process, and record performance data automatically (i.e., with little or no operator intervention). One is designed as a shipborne system,...

Quality-aware sensor data collection

Many sensor applications often require to collect raw sensed values from many sensor nodes to one centralized server. Sensor data collection typically comes with various quality requirements, e.g., the level of precision requested for temperature values, the time constraints for getting the data, or the percentage of data that is needed. This paper presents a quality-aware sensing framework whe...

Data Collection Prioritization for System Quality Analysis

When assessing software quality the cost of collecting the data needed for analysis is often quite substantial. This paper proposes the use of Bayesian networks for assessing software qualities combined with an algorithm for how to prioritize which data to collect in order to minimize the cost of the assessment. This algorithm, the Diagnosis algorithm, is implemented in the Bayesian network too...

Standardization and Quality Control in Data Collection and Assessment of Threatened Plant Species

Informative data collection is important in the identification and conservation of rare plant species. Data sets generated by many small-scale studies may be integrated into large, distributed databases, and statistical tools are being developed to extract meaningful information from such databases. A diversity of field methodologies may be employed across smaller studies, however, resulting in...

9 - Control and instrumentation