Abstract: A method for central monitoring of a research includes the steps of creating and storing a database consisting of datasets generated during the research, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score.

Abstract: A security system includes an autonomous unmanned aerial vehicle (UAV) including an airframe with a power source and a propulsive system operatively mounted to the airframe for sustained, autonomous flight of the UAV. A flight control system is operatively connected to the airframe, propulsive system, and power source to control the sustained, autonomous flight of the UAV. An imaging device is mounted to the airframe. A wireless communication device is operatively connected to the imaging device to wirelessly transmit data including images from the imaging device. A remote server is operatively connected to receive the data transmitted wirelessly from the wireless communication device, wherein the remote server is operatively connected to communicate the data to emergency responders.

Abstract: A method for central monitoring of a research trial utilizing a plurality of distributed data collection centers includes creating and storing a database consisting of datasets generated during the research trial. Statistical tests are executed in the network on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets of the statistical database. A matrix containing p-values based upon the executed statistical tests is created and stored in the network. The matrix has as many rows as there are data collection centers and as many columns as executed statistical tests. Any outlying data collection centers are identified by summarizing the p-values. Data Inconsistency Score (DIS) is created for each collection center.

Abstract: A method for central monitoring of a research includes the steps of creating and storing a database consisting of datasets generated during the research, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score.

Abstract: A method for central monitoring of a research trial includes the steps of creating and storing a clinical database consisting of datasets generated during the research trial, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score.

Abstract: A method for central monitoring of a research trial includes the steps of creating and storing a clinical database consisting of datasets generated during the research trial, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score.