Abstract: The present invention provides a distributed sensing system in a networked environment for identifying an analyte, including a first sensor array connected to the network comprising sensors capable of producing a first response in the presence of a chemical stimulus; a second sensor array connected to the network comprising sensors capable of producing a second response in the presence of a physical stimulus; and a computer comprising a resident algorithm. The algorithm indicates or selects the most relevant sensor in the network to identify the analyte. The sensors can be separated over large spatial areas, wherein the sensor arrays are networked. Suitable networks include a computer local area network, an intranet or the Internet.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: The present invention generally relates to methods of rapidly and efficiently searching biologically-related data space. More specifically, the invention includes methods of identifying bio-molecules with desired properties, or which are most suitable for acquiring such properties, from complex bio-molecule libraries or sets of such libraries. The invention also provides methods of modeling sequence-activity relationships. As many of the methods are computer-implemented, the invention additionally provides digital systems and software for performing these methods.

Abstract: The present invention provides a distributed sensing system in a networked environment for identifying an analyte, including a first sensor array connected to the network comprising sensors capable of producing a first response in the presence of a chemical stimulus; a second sensor array connected to the network comprising sensors capable of producing a second response in the presence of a physical stimulus; and a computer comprising a resident algorithm. The algorithm indicates or selects the most relevant sensor in the network to identify the analyte. The sensors can be separated over large spatial areas, wherein the sensor arrays are networked. Suitable networks include a computer local area network, an intranet or the Internet.

Abstract: The present invention provides a distributed sensing system in a networked environment for identifying an analyte, including a first sensor array connected to the network comprising sensors capable of producing a first response in the presence of a chemical stimulus; a second sensor array connected to the network comprising sensors capable of producing a second response in the presence of a physical stimulus; and a computer comprising a resident algorithm. The algorithm indicates or selects the most relevant sensor in the network to identify the analyte. The sensors can be separated over large spatial areas, wherein the sensor arrays are networked. Suitable networks include a computer local area network, an intranet or the Internet.

Abstract: A method for controlling an industrial process. The method includes outputting a plurality of parameters from a process for manufacture of a substance. The method also uses each of the plurality of parameters in a computer aided process, which compares at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. A step of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters also is included. Additionally, the method includes outputting a result based upon the determining step.

Abstract: Methods and systems are provides for measuring multi-dimensional sensing information for identification purposes. The identity of one or more substances is determined through analysis of multidimensional data that can include, among others, intrinsic information as well as extrinsic information. The method for identification of a substance comprises utilizing pattern recognition to form descriptors to identify characteristics of the substance. A system and computer program for performing analysis of the multidimensional data are also described.

Abstract: A system for controlling an industrial process. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters.

Abstract: The present invention provides a distributed sensing system in a networked environment for identifying an analyte, including a first sensor array connected to the network comprising sensors capable of producing a first response in the presence of a chemical stimulus; a second sensor array connected to the network comprising sensors capable of producing a second response in the presence of a physical stimulus; and a computer comprising a resident algorithm. The algorithm indicates or selects the most relevant sensor in the network to identify the analyte. The sensors can be separated over large spatial areas, wherein the sensor arrays are networked. Suitable networks include a computer local area network, an intranet or the Internet.

Abstract: The present invention provides a distributed sensing system in a networked environment for identifying an analyte, including a first sensor array connected to the network comprising sensors capable of producing a first response in the presence of a chemical stimulus; a second sensor array connected to the network comprising sensors capable of producing a second response in the presence of a physical stimulus; and a computer comprising a resident algorithm. The algorithm indicates or selects the most relevant sensor in the network to identify the analyte. The sensors can be separated over large spatial areas, wherein the sensor arrays are networked. Suitable networks include a computer local area network, an intranet or the Internet.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: The present invention provides a distributed sensing system in a networked environment for identifying an analyte, including a first sensor array connected to the network comprising sensors capable of producing a first response in the presence of a chemical stimulus; a second sensor array connected to the network comprising sensors capable of producing a second response in the presence of a physical stimulus; and a computer comprising a resident algorithm. The algorithm indicates or selects the most relevant sensor in the network to identify the analyte. The sensors can be separated over large spatial areas, wherein the sensor arrays are networked. Suitable networks include a computer local area network, an intranet or the Internet.

Abstract: The present invention relates generally to methods and devices for evaluating agriculture products, and more particularly, to assessing and monitoring the quality of food products using electronic noses. A quality control monitoring device (10) is provided having first sensor array (13) located in a first vessel (11) and a second sensor array (14) located in a second vessel (12). An analyzer (15) is set-up with a display (16).

Abstract: A method for controlling an industrial process. The method includes outputting a plurality of parameters from a process for manufacture of a substance. The method also uses each of the plurality of parameters in a computer aided process, which compares at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. A step of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters also is included. Additionally, the method includes outputting a result based upon the determining step.

Abstract: A pulsed NMR analysis system and process comprising sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay curves (C), from which components functions are determined using non-linear regression techniques to correlate the curve components to the target nuclei.

Abstract: Pulsed NMR system for industrial measurements comprising sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay (FID) curves (C), from which fast Gaussian, slower modified Gaussian and exponential components are determined using a Marquardt-Levenberg iteration technique, and using regression techniques to correlate the FID curve components to the physical quantities of the target nuclei.

Abstract: Pulsed NMR system for industrial purposes comprising sample throughput system (P, LI, V1, V2) magnetic field adjustment (120, 124) and thermal adjustment (134-138 and 142-146). The resonance is established by a coil (100), excited by a transceiver (104) and interacting with the sample and the magnetic field at resonance to establish received and digitized free induction decay curve forms (C) which are automatically analyzed into Gaussian and exponential components--providing simplified high speed computation means with repetitive test sequence and thermal controls that systematically minimize errors to assure reliable determination of target nuclei quantities in successive samples from an industrial process and utilizing Hahn spin echo based equipment to automatically adjust the analysis of one or more of the analyzed components.