Abstract: Predictive analysis of complex datasets and systems and methods including the same are disclosed herein. The methods include analyzing airborne particle count data from a cleanroom environment to predict a particle count fault condition within the cleanroom environment. The methods further include generating an airborne particle count data repository that includes particle counts within the cleanroom environment, analyzing the airborne particle count data to calculate a difference between a first rate of change and a second rate of change, and predicting the particle count fault condition responsive to the difference between the first rate of change and the second rate of change being outside a predetermined threshold range difference. The systems include computer readable storage media including computer-executable instructions that, when executed, direct a data analysis system to perform the methods.

Abstract: A prediction of an impending failure in a climate control system is based on degradation of a second harmonic in a temperature history of the system.

Abstract: Predictive analysis of complex datasets and systems and methods including the same are disclosed herein. The methods include analyzing airborne particle count data from a cleanroom environment to predict a particle count fault condition within the cleanroom environment. The methods further include generating an airborne particle count data repository that includes particle counts within the cleanroom environment, analyzing the airborne particle count data to calculate a difference between a first rate of change and a second rate of change, and predicting the particle count fault condition responsive to the difference between the first rate of change and the second rate of change being outside a predetermined threshold range difference. The systems include computer readable storage media including computer-executable instructions that, when executed, direct a data analysis system to perform the methods.

Abstract: An alert system may include an alert sender module, an alert routing module, an alert controller module, and an alert mechanism. The alert sender module may be configured to send an encrypted alert independent of an internet security firewall. The alert routing module may have a registry and may be configured to receive the encrypted alert and process the encrypted alert according to a security mechanism associated with the registry. The alert controller module may be configured to accept the encrypted alert from the alert routing module according to the security mechanism. The alert mechanism may be configured to be activated by the alert controller module.

Abstract: In one embodiment, a data acquisition device comprises a plurality of sensors to detect an environmental condition, a configurable processor coupled to the plurality of sensors, wherein the configurable processor is configured to receive one or more signals from the plurality of sensors and process the one or more signals to generate environmental data representative of the environmental condition, and a first input/output module to transmit the data to a remote device. Other embodiments may be disclosed.

Abstract: The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.

Abstract: In one embodiment, a data acquisition device comprises a plurality of sensors to detect an environmental condition, a configurable processor coupled to the plurality of sensors, wherein the configurable processor is configured to receive one or more signals from the plurality of sensors, process the one or more signals to generate environmental data representative of the environmental condition, wherein the environmental data is, and a first input/output module to transmit the data to a remote device. Other embodiments may be disclosed.

Abstract: The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.

Abstract: A system for marking parts including an automated parts labeling (APL) software module for producing information labels for marking parts, a processor for executing the APL software module, and at least one of peripheral label device communicatively connected to the processor for receiving part identification information from the processor and marking said information labels.

Abstract: An intelligent information dashboard system is provided. The system collects, manages, and presents data and information to allow decision making from real-time information based on data from any number of sources. Three functional layers combine to create the intelligent information dashboard system. The top layer is a software application for designing and displaying the information. The middle layer is a data management layer for data propagation and aggregation. The bottom layer, the intelligent dashboard agent, is for data collection and processing. Because the intelligent information dashboard system includes functional layers, it can easily and quickly be adapted to present different information in any business application as desired or needed. In one example, the top layer of the intelligent information dashboard system is a web-based dashboard module for presentation of the information collected by intelligent dashboard agents and managed by a dashboard management layer.

Abstract: A system for marking parts including an automated parts labeling (APL) software module for producing information labels for marking parts, a processor for executing the APL software module, and at least one of peripheral label device communicatively connected to the processor for receiving part identification information from the processor and marking said information labels.