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243 results about "Policy Compliance" patented technology

In general, compliance means conforming to a rule, such as a specification, policy, standard or law. Regulatory compliance describes the goal that organizations aspire to achieve in their efforts to ensure that they are aware of and take steps to comply with relevant laws, policies, and regulations.

Interactive virtual character doll

The interactive doll simulates the character of a live person or, in other embodiments a fantasy figure or animal, in essence, simulating a living being that possesses respective human or animal qualities: displaying specific needs, tenderness, intelligence and/or understanding. The doll contains a clock or other timekeeping device and thereby knows of the time of day. It automatically enters a sleep mode at a preset sleep time during which the playtoy remains quiet, and wakens at a preset hour of the day, issuing a verbal statement to let the player know it is time to again play. By issuing a sequence of verbal requests from time to time to the player to take action of various kinds on or with the doll, determines the player's compliance or noncompliance with each such request and issues a verbal message appropriate to such compliance or non-compliance. Some of the verbal requests made are of a kind that occur at a particular time of day in the life of the character being synthesized, such as a request for a food or beverage at breakfast time, lunch time or supper time. And, from time to time at its own initiative, the playtoy may issue verbal messages of affection to the player. That doll is accompanied by external objects that simulate a variety of foods, a beverage, medicine and the like, which the doll is to be applied by the player to the doll pursuant to specific verbal requests from the doll and the doll is able to identify those objects for enhanced interactive play with the player.
Owner:PLAYMATES TOYS

Apparatus and method for prediction and management of participant compliance in clinical research

A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.
Owner:ERESTECH

IP network vulnerability and policy compliance assessment by IP device analysis

Customizable software provides assurances about the ability of an IP network to satisfy security, regulatory and availability requirements by comprehensive vulnerability and compliance assessment of IP networks through automated analysis of configurations of devices such as routers, switches, and firewalls. The solution comprises three main approaches for testing of IP device configurations to eliminate errors that result in vulnerabilities or requirements compliance issues. The first two fall in to the “static constraint validation” category since they do not change significantly for each IP network, while the last approach involves incorporation of each specific IP network's policies/requirements. These approaches are complementary, and may be used together to satisfy all the properties described above. The first approach involves checking the configurations of devices for conformance to Best-Current-Practices provided by vendors (e.g. Cisco Network Security Policy) and organizations such as the NIST, NSA or CERT. Also this includes checks of compliance with regulations such as FISMA, SOX, HIPPA, PCI, etc. The second approach is where as one reads device configurations, one collects beliefs about network administrator intent. As each belief is collected, an inference engine checks whether the new belief is inconsistent with previously accumulated beliefs. The third approach addresses the multiple device/protocol issue by including an understanding of high-level service and security requirements about the specific IP network under test from the network administrators.
Owner:TT GOVERNMENT SOLUTIONS

Apparatus and method for prediction and management of participant compliance in clinical research

A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.
Owner:ERESTECH
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