21078 results about "Monitoring data" patented technology

The invention generally concerns systems and methods for monitoring and controlling the power consumption of a power-consuming device. The system and method may connect to a power source and a power-consuming device, connecting the power-consuming device to the power source. The power usage of the power-consuming device may then be measured and monitored. This monitoring data may then be stored and optionally sent to a controlling device on a data network. The location of the power-consuming device may also be determined, recorded, and sent to a controlling device. The system may also control the power usage of the power-consuming device. In some cases, a remote server may connect multiple energy monitoring systems in order to gain additional efficiencies and foster a community-based social network.

A method, system, and computer program product related to the diagnosis of diabetes, and is directed to predicting the long-term risk of hyperglycemia, and the long-term and short-term risks of severe hypoglycemia in diabetics, based on blood glucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting both HbA_1c and periods of increased risk of hypoglycemia, and to the enhancement of emerging continuous monitoring devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia and hypoglycemia.

A system is provided including a continuous analyte sensor that produces a data stream indicative of a host's analyte concentration and a device that receives and records data from the data stream from the continuous analyte sensor. The data received from the continuous analyte sensor may be used to provide alarms to the user when the analyte concentration and/or the rate of change of analyte concentration, as measured by the continuous analyte sensor, is above or below a predetermined range. Data received from the continuous analyte sensor may also be used to prompt the diabetic or caregiver to take certain actions, such as to perform another single point blood glucose measurement. The device may provide for toggling between modes that allow or prevent the display of glucose concentration values associated with the continuous glucose sensor.

A method for monitoring data on a first communication line. Data is received from the first communication line and a plurality of packets are extracted from the data. Statistics are then recursively generated, the statistics corresponding to the plurality of packets.

The present invention provides a home security system that includes a home security controller for collecting monitor data from various crime prevention and disaster prevention sensors installed in a home via a home network and notifying the portable terminal when a state of emergency occurs. The home security controller also enables devices in the home to be operated through remote control signals via an external network. The home security system further includes a portable terminal capable of connecting to the external network and having fingerprint data inputting means mounted on the body of the portable terminal for inputting fingerprints used for authentication. The fingerprint data inputting means has an assigned ID number. The home security system further includes a security center server having fingerprint authenticating means for receiving fingerprint data from the portable terminal via the external network and authenticating the fingerprint data through comparisons with registered fingerprint data. The fingerprint authenticating means completes authentication by checking the assigned ID number of the fingerprint data inputting means and matching the received fingerprint data with fingerprint data registered in association with the ID number. The security center server allows a connection between the portable terminal and the home security controller and controls bi-directional communications between the two after the security center server has completed authentication, enabling the portable terminal to receive monitor data from and transmit remote control signals to the home security controller via the external network.

Access to a communications network may be provided via a data provider that may charge for access. In some cases, the access fee may be related to the amount of network resources consumed (e.g., amount of data downloaded or bandwidth used). In some cases, a user may have access to a particular amount of data provider resources and be required to pay an additional fee for using resources in excess of the particular amount. To assist the user in managing his data resource consumption, a resource utilization component may provide different alerts and notices informing the user of current consumption, expected future consumption, and recommendations for reducing data provider resources consumed (e.g., stopping particular processes or data provider requests, such as downloading media). If several electronic devices in a network are connected to the same data provider resources, a network component may manage the data provider resource use among the several electronic devices (e.g., allow only particular users or devices access).

The present invention provides a system and method for predicting and preventing unauthorized intrusion in a computer configuration. Preferably, the invention comprises a communication network to which at least two computing devices connect, wherein at least one of the computing devices is operable to receive data transmitted by the other computing device. The invention further comprises a database that is accessible over the network and operable to store information related to the network. A vulnerability assessment component is provided that is operable to execute a command over the communication network, and a data monitoring utility operates to monitor data transmitted over the communication network as the vulnerability assessment component executes commands. Also, an intrusion detection component is included that is operable to provide a simulated copy of the network, to generate a first data transmission on the simulated copy of the network that represents a second data transmission on the communication network, and to compare the first data transmission with a second data transmission. The vulnerability assessment component preferably interfaces with the intrusion detection component to define rules associated with the first and second data transmissions, to store the rules in the database, and to retrieve the rules from the database in order to predict and prevent unauthorized intrusion in the computer configuration.

Voltage and frequency scaling techniques that are based upon monitored data are provided. The techniques may be used to better manage the power and energy consumption of a processor in an embedded system, such as a cellular telephone, personal data assistant, smart device, or the like. The techniques may be used with processors that offer a performance monitoring capability. The performance monitor may monitor thread-level utilization at runtime. Instructions per cycle and memory references per cycle are example metrics that may be monitored by the performance monitor. The voltage and frequency scaling techniques may adjust the operating voltage and operating frequency of the processor based on the values of these two metrics. For example, the techniques may include accessing a voltage and frequency scheduler lookup table. The techniques may be employed with non-embedded systems, as well, embedded systems.

Systems and methods are disclosed for monitoring data transmissions on a network and detecting compromised networks. The systems and methods monitor communications involving network hosts and analyze the communications in view of the business function of the hosts. In certain embodiments the analysis is performed by associating a set of rules of operation for the sessions, hosts, and/or environment, and analyzing data packet transmissions to ascertain violations of the rules.

<heading lvl="0">Abstract of Disclosure</heading> A security management system includes a fusion engine which "fuses" or assembles information from multiple data sources and analyzes this information in order to detect relationships between raw events that may indicate malicious behavior and to provide an organized presentation of information to consoles without slowing down the processing performed by the data sources. The multiple data sources can comprise sensors or detectors that monitor network traffic or individual computers or both. The sensors can comprise devices that may be used in intrusion detection systems (IDS). The data sources can also comprise firewalls, audit systems, and other like security or IDS devices that monitor data traffic in real-time. The present invention can identify relationships between one or more real-time, raw computer events as they are received in real-time. The fusion engine can also assess and rank the risk of real-time raw events as well as mature correlation events.

The invention provides a system and method for easy and reliable connection of patient-originated medical data through a simple port of a computer to a dedicated web site. A device originating medical data, such as an implanted pacemaker, downloads data into a transmit/receive device, and the data is then transformed in an interface unit to be accepted by a simple port of a computer, e.g. a keyboard port or a mouse port. The patient logs on to a dedicated web site, and transfers the data along with typed input to the web site for analysis. Following analysis, a reply message is sent back to the patient, which may include a control instruction for modifying or reprogramming the operation of the device that is used to originate the medical data. For a pacemaker application, the data transformation is done at a simple interface unit that is portable and easily manipulated by the patient. For other applications such as monitoring data from a diabetic, the data is transformed by the interface unit, and may be stored daily in the PC and transmitted to the web site after collection of a predetermined number of days of data.

A method of managing a fluid or gas reservoir is disclosed which assimilates diverse data having different acquisition time scales and spatial scales of coverage for iteratively producing a reservoir development plan that is used for optimizing an overall performance of a reservoir. The method includes: (a) generating an initial reservoir characterization, (b) from the initial reservoir characterization, generating an initial reservoir development plan, (c) when the reservoir development plan is generated, incrementally advancing and generating a capital spending program, (d) when the capital spending program is generated, monitoring a performance of the reservoir by acquiring high rate monitor data from a first set of data measurements taken in the reservoir and using the high rate monitor data to perform well-regional and field-reservoir evaluations, (e) further monitoring the performance of the reservoir by acquiring low rate monitor data from a second set of data measurements taken in the reservoir, (f) assimilating together the high rate monitor data and the low rate monitor data, (g) from the high rate monitor data and the low rate monitor data, determining when it is necessary to update the initial reservoir development plan to produce a newly updated reservoir development plan, (h) when necessary, updating the initial reservoir development plan to produce the newly updated reservoir development plan, and (i) when the newly updated reservoir development plan is produced, repeating steps (c) through (h). A detailed disclosure is provided herein relating to the step (a) for generating the initial reservoir characterization and the step (b) for generating the initial reservoir development plan.

Systems and methods are provided for determining data center cooling and power requirements and for monitoring performance of cooling and power systems in data centers. At least one aspect provides a system and method that enables a data center operator to determine available power and cooling at specific areas and enclosures in a data center to assist in locating new equipment in the data center.

A method for processing a substrate in a reactor by pulsing RF power, includes: applying RF power in pulses in the reactor to process the substrate; monitoring data from the reactor indicative of anomalous pulses of RF power, including data from a photo sensor equipped in the reactor; counting the number of anomalous pulses of RF power in the monitored data; determining whether or not the number of anomalous pulses of RF power is acceptable; and initiating a pre-designated sequence if the number of anomalous pulses of RF power is determined to be unacceptable.

By using monitoring data, feedback data, and pooling of failure data from a plurality of electronic devices, real-time failure prediction and diagnoses of electronic systems operating in a network environment can be achieved. First, the diagnostic system requests data on the state of a machine and/or its components and collections thereof as part of the machine's normal operation. Secondly, real-time processing of the data either at the machine site or elsewhere in the distributed network allows for predicting or diagnosing system failures. Having determined and/or predicted a system failure, a communication to one or more remote observers in the network allows the remote observers to view the diagnostic information and/or required action to repair the failure. Furthermore, interrogation of either the particular electronic system, or a database containing data on similar electronic systems by the diagnostic server allows the diagnostic server to refine original diagnoses based on this population data to achieve a comprehensive failure predication/diagnosing system.

A system to detect anomalies in internet protocol (IP) flows uses a set of machine-learning (ML) rules that can be applied in real time at the IP flow level. A communication network has a large number of routers that can be equipped with flow monitoring capability. A flow collector collects flow data from the routers throughout the communication network and provides them to a flow classifier. At the same time, a limited number of locations in the network monitor data packets and generate alerts based on packet data properties. The packet alerts and the flow data are provided to a machine learning system that detects correlations between the packet-based alerts and the flow data to thereby generate a series of flow-level alerts. These rules are provided to the flow time classifier. Over time, the new packet alerts and flow data are used to provide updated rules generated by the machine learning system.

Systems and methods are provided for determining data center cooling and power requirements and for monitoring performance of cooling and power systems in data centers. At least one aspect provides a system and method that enables a data center operator to determine available power and cooling at specific areas and enclosures in a data center to assist in locating new equipment in the data center.

A method and apparatus for web caching is disclosed. The method and apparatus may be implemented in hardware, software or firmware. Complementary cache management modules, a coherency module and a cache module(s) are installed complementary gateways for data and for clients respectively. The coherency management module monitors data access requests and or response and determines for each: the uniform resource locator (URL) of the requested web page, the URL of the requestor and a signature. The signature is computed using cryptographic techniques and in particular a hash function for which the input is the corresponding web page for which a signature is to be generated. The coherency management module caches these signatures and the corresponding URL and uses the signatures to determine when a page has been updated. When, on the basis of signature comparisons it is determined that a page has been updated the coherency management module sends a notification to all complementary cache modules. Each cache module caches web pages requested by the associated client(s) to which it is coupled. The notification from the cache management module results in the cache module(s) which are the recipient of a given notice updating their tag table with a stale bit for the associated web page. The cache module(s) use this information in the associated tag tables to determine which pages they need to update. The cache modules initiate this update during intervals of reduced activity in the servers, gateways, routers, or switches of which they are a part. All clients requesting data through the system of which each cache module is a part are provided by the associated cache module with cached copies of requested web pages.

The Audience Content Exposure Monitoring Apparatuses, Methods and Systems (“ACEM”) transforms pulsing request (e.g., 1107), viewing status, purchase request, channel selection, survey request, sentiment request, atmospherics, social media posts, response events, data request and access token, app/device input monitoring, check-in, URL access, etc. inputs via ACEM components into atmospherics sampling record (e.g., 1106), ad contents (e.g., 1115), RT data/records, ad tags, media program, full page content outputs. In some embodiments, the ACEM provides a mobile metering system that configures the data collection of audience environment atmospherics to evaluate audience media exposure. In one implementation, the ACEM may employ media data collection technology using a combination of mobile device metering app and cloud hosted server side technology to determine when and how often a user mobile device should record and/or generate monitoring atmospherics of audience environment; and to determine what content the audience has been exposed to based on the collected monitoring data.