Abstract: The present invention uses a Semidefinite Programming (SDP) relaxation based method for the position estimation problem in sensor networks wherein the original problem is converted into a convex optimization problem. Estimation errors can be calculated, such that the quality of the solution to the initial problem is known. The sensor network may be divided into clusters such that the position estimation problem and the computation work can be distributed. The distributed scheme is highly scalable. A network with thousands of sensors may be solved within several minutes.

Abstract: The present invention facilitates transparent and cost effective capture, sharing, and re-use of knowledge in informal media such as audio, video, and individual sketching actions. Sketches, handwritings, verbal comments and the likes captured during a session are timestamped and, once completed, automatically indexed and published on a web server that allows for real time, streamed and synchronized replay thereof. All timestamps are converted to a common time base. To control the synchronous replay, multiple treads collaborate based on common base timestamps corresponding to the sketching actions and correlated audio/video stream(s). An enhanced interactive graphical user interface enables a network user to create and capture a session, e.g., annotate an imported image with sketches and verbal comments. The user or others can access the published session in real time and select a keyword or an individual sketch entity from which to begin replay. Transcribed audio stream can also be synchronously replayed.

Abstract: An improved network of sensor nodes can self-organize so as to reduce energy consumption and/or improve coverage of a surveillance field. Nodes within the network may be dynamically activated or deactivated so as to lengthen network lifetime and/or enhance sensor coverage of the surveillance field.

Abstract: The present invention uses a Semidefinite Programming (SDP) relaxation based method for the position estimation problem in sensor networks wherein the original problem is converted into a convex optimization problem. Estimation errors can be calculated, such that the quality of the solution to the initial problem is known. The sensor network may be divided into clusters such that the position estimation problem and the computation work can be distributed. The distributed scheme is highly scalable. A network with thousands of sensors may be solved within several minutes.

Abstract: The invention provides a cross-media software environment that enables seamless transformation of analog activities, such as gesture language, verbal discourse, and sketching, into integrated digital video-audio-sketching (DiVAS) for real-time knowledge capture, and that supports knowledge reuse through contextual content understanding.

Abstract: The present invention facilitates transparent and cost effective capture, sharing, and re-use of knowledge in informal media such as audio, video, and individual sketching actions. Sketches, handwritings, verbal comments and the likes captured during a session are timestamped and, once completed, automatically indexed and published on a web server that allows for real time, streamed and synchronized replay thereof. All timestamps are converted to a common time base. To control the synchronous replay, multiple treads collaborate based on common base timestamps corresponding to the sketching actions and correlated audio/video stream(s). An enhanced interactive graphical user interface enables a network user to create and capture a session, e.g., annotate an imported image with sketches and verbal comments. The user or others can access the published session in real time and select a keyword or an individual sketch entity from which to begin replay. Transcribed audio stream can also be synchronously replayed.