Abstract: An apparatus includes an aerial platform which is remotely controlled by an operator using a controller. The apparatus is used to service a detector of a fire safety system. The apparatus includes a frame having a gas canister and a gas delivery cup attached thereto, and a drone attached to the frame which is capable of flying the frame under remote control by the operator. A gripping mechanism for gripping a portion of a detector is provided for servicing the detector.

Abstract: An apparatus includes an aerial platform which is remotely controlled by an operator using a controller. The apparatus is used to service a detector of a fire safety system. The apparatus includes a frame having a gas canister and a gas delivery cup attached thereto, and a drone attached to the frame which is capable of flying the frame under remote control by the operator. A gripping mechanism for gripping a portion of a detector is provided for servicing the detector.

Abstract: An arrangement for providing integrated, model-based testing of industrial systems in the form of a model-based test design module, a test execution engine and an automated test infrastructure (ATI) component. The ATI component includes a keyword processor that interfaces with test commands created by the design module to implement the testing of a specific industrial system. Configuration and deployment information is also automatically created by the design module and used by the ATI component to set up and control the specific industrial system being tested.

Abstract: First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grammars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.

Abstract: An arrangement for providing integrated, model-based testing of industrial systems in the form of a model-based test design module, a test execution engine and an automated test infrastructure (ATI) component. The ATI component includes a keyword processor that interfaces with test commands created by the design module to implement the testing of a specific industrial system. Configuration and deployment information is also automatically created by the design module and used by the ATI component to set up and control the specific industrial system being tested.

Abstract: First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grmmars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.

Abstract: We present, in exemplary embodiments of the present invention, novel systems and methods for syndromic surveillance that can automatically monitor symptoms that may be associated with the early presentation of a syndrome (e.g., fever, coughing, sneezing, runny nose, sniffling, rashes). Although not so limited, the novel surveillance systems described herein can be placed in common areas occupied by a crowd of people, in accordance with local and national laws applicable to such surveillance. Common areas may include public areas (e.g., an airport, train station, sports arena) and private areas (e.g., a doctor's waiting room). The monitored symptoms may be transmitted to a responder (e.g., a person, an information system) outside of the surveillance system, such that the responder can take appropriate action to identifying, treat and quarantine potentially infected individuals, as necessary.

Abstract: We present, in exemplary embodiments of the present invention, novel systems and methods for syndromic surveillance that can automatically monitor symptoms that may be associated with the early presentation of a syndrome (e.g., fever, coughing, sneezing, runny nose, sniffling, rashes). Although not so limited, the novel surveillance systems described herein can be placed in common areas occupied by a crowd of people, in accordance with local and national laws applicable to such surveillance. Common areas may include public areas (e.g., an airport, train station, sports arena) and private areas (e.g., a doctor's waiting room). The monitored symptoms may be transmitted to a responder (e.g., a person, an information system) outside of the surveillance system, such that the responder can take appropriate action to identifying, treat and quarantine potentially infected individuals, as necessary.

Abstract: The present invention is a method and system for selecting clinical trial candidates. Medical records are obtained from a source of patient clinical data, and are searched by a clinical trial candidate identification service for suitability for a particular clinical trial. The privacy of patients whose medical records are searched is preserved by replacing the identity of the patient with a secure patient code before the records are released to the clinical trial candidate identification service.