Abstract: An airflow measurement system configured to be received in a duct of a heating, ventilating and air conditioning (HVAC) system is provided. The air flow measurement system includes a housing, and a plurality of cells positioned in the housing, the plurality of cells being configured such that air flows through the plurality of cells when the flow measurement system is positioned in the duct of the HVAC system, wherein at least one of the cells includes a self-heated thermistor.

Abstract: A method and system for monitoring users on one or more computer networks, disassociating personally identifiable information from the collected data, and storing it in a database so that the privacy of the users is protected. In one embodiment, the system generates an anonymized identifier and associates that anonymized identifier with collected network data. An embodiment of the system may further anonymize data such as resource location identifiers, by identifying and removing personal information.

Abstract: An airflow measurement system configured to be received in a duct of a heating, ventilating and air conditioning (HVAC) system is provided. The air flow measurement system includes a housing, and a plurality of cells positioned in the housing, the plurality of cells being configured such that air flows through the plurality of cells when the flow measurement system is positioned in the duct of the HVAC system, wherein at least one of the cells includes a self-heated thermistor.

Abstract: A method and system for monitoring users on one or more computer networks, disassociating personally identifiable information from the collected data, and storing it in a database so that the privacy of the users is protected. In one embodiment, the system generates an anonymized identifier and associates that anonymized identifier with collected network data. An embodiment of the system may further anonymize data such as resource location identifiers, by identifying and removing personal information.

Abstract: A system for collecting data regarding network behaviors of users is disclosed. In one embodiment, the system combines session records of users with corresponding transaction records reflective of e-commerce transactions. The session records may, for example, be generated by one or more collection engines deployed by one or more Internet Service Providers. The transaction records may, for example, be obtained through interactions with one or more merchant web sites. By combining these two types of information, the system can, for example, identify a set of user actions that led to a particular purchase transaction.

Abstract: Methods, systems and computer program products are provided for controlling a climate in a building. Sensed data is received at a local processor in the building. The sensed data is associated with the climate in the building, weather outside the building and/or occupants of the building. The received sensed data is compared at the local processor with corresponding predictive data associated with the climate in the building, weather outside the building and/or occupants of the building. One or more parameters associated with the climate of the building is adjusted at the local processor based on a result of the comparison of the received sensed data and the predictive data.

Abstract: A system for collecting data regarding network behaviors of users is disclosed. In one embodiment, the system combines session records of users with corresponding transaction records reflective of e-commerce transactions. The session records may, for example, be generated by one or more collection engines deployed by one or more Internet Service Providers. The transaction records may, for example, be obtained through interactions with one or more merchant web sites. By combining these two types of information, the system can, for example, identify a set of user actions that led to a particular purchase transaction.

Abstract: A method and system for classifying information available on a computer network such as Web sites accessible on the Internet. The system receives a list of network resource locators and submits each locator to a voting process. The invention includes using single-level or multiple-level voting to increase the classification accuracy. One or more Web coders receive a resource locator and determine a classification for that locator. When the necessary votes have been made, the system classifies the locator according to the voting rules.

Abstract: A system for collecting data regarding network behaviors of users is disclosed. In one embodiment, the system combines session records of users with corresponding transaction records reflective of e-commerce transactions. The session records may, for example, be generated by one or more collection engines deployed by one or more Internet Service Providers. The transaction records may, for example, be obtained through interactions with one or more merchant web sites. By combining these two types of information, the system can, for example, identify a set of user actions that led to a particular purchase transaction.

Abstract: A method and system for monitoring users on one or more computer networks, disassociating personally identifiable information from the collected data, and storing it in a database so that the privacy of the users is protected. The system receives a user identifier and uses it to creates an anonymized identifier, defined as a user identifier stripped of all personally identifiable information. The anonymized identifier is then associated with one or more users' computer network transactions. The data is stored by a collection engine and then aggregated to a central database server across a computer network.

Abstract: A method and system for monitoring users on one or more computer networks, disassociating personally identifiable information from the collected data, and storing it in a database so that the privacy of the users is protected. The system includes monitoring transactions at both a client and at a server, collecting network transaction data, and aggregating the data collected at the client and at the server. The system receives a user identifier and uses it to create an anonymized identifier. The anonymized identifier is then associated with one or more users' computer network transactions. The data is stored by a collection engine and then aggregated to a central database server across a computer network.

Abstract: A method and system for monitoring users on one or more computer networks, disassociating personally identifiable information from the collected data, and storing it in a database so that the privacy of the users is protected. The system includes monitoring transactions at both a client and at a server, collecting network transaction data, and aggregating the data collected at the client and at the server. The system receives a user identifier and uses it to create an anonymized identifier. The anonymized identifier is then associated with one or more users' computer network transactions. The data is stored by a collection engine and then aggregated to a central database server across a computer network.