About: UDOP is a research topic. Over the lifetime, 5 publications have been published within this topic receiving 90 citations. The topic is also known as: UHF Doppler.
TL;DR: This paper defines and introduces the technology concepts for a user-defined operational picture (UDOP) that enable collaboration by providing visual situational awareness to end-users working within an operational network-centric environment that is offering an increasing number of Web service-enabled information sources.
Abstract: Historically, government organizations have developed "operations centers " as hubs for command and control functions. Over the past decade there has been significant interest in shared situational awareness and collaboration as well as improvement in networking capabilities of these organizations, which has resulted in concepts and terms such as common operational picture, common relevant operational picture, and user-defined operational picture. These 'pictures' make operational information available directly to an individual's desktop (outside the operations centers). This paper defines and introduces the technology concepts for a user-defined operational picture (UDOP) that enable collaboration by providing visual situational awareness to end-users working within an operational network-centric environment that is offering an increasing number of Web service-enabled information sources. UDOPs are created, visualized, augmented, tailored, and shared by the organization to enhance situational awareness and support collaborative and hierarchical decision-making. The UDOP architecture supports 2D, 3D, and 4D (3D + time) visualization using COTS technologies. Implementation of a robust and flexible UDOP system relies on several key system design patterns that include service oriented architecture (SOA), plug-in mechanisms, layer/filter models, and loose coupling. This paper will also describe one reference implementation of a UDOP system by reviewing an operationally deployed capability called global awareness presentation services (GAPS).
TL;DR: The reduction of the grammar size by using efficient algorithms for pBTAs is the main contribution of this paper and some extensions of the original uDOP algorithm that are made possible or aided by the use of tree automata are suggested.
Abstract: The unsupervised Data Oriented Parsing (uDOP) approach has been repeatedly reported to achieve state of the art performance in experiments on parsing of different corpora. At the same time the approach is demanding both in computation time and memory. This paper describes an approach which decreases these demands. First the problem is translated into the generation of probabilistic bottom up tree automata (pBTA). Then it is explained how solving two standard problems for these automata results in a reduction in the size of the grammar. The reduction of the grammar size by using efficient algorithms for pBTAs is the main contribution of this paper. Experiments suggest that this leads to a reduction in grammar size by a factor of 2. This paper also suggests some extensions of the original uDOP algorithm that are made possible or aided by the use of tree automata.
TL;DR: An overview of the UDOP capabilities is provided, as well as a description of the initial prototype implementation in an operational setting, to support accurate situation awareness and timely decision-making.
Abstract: This paper describes an effort underway to develop an operational concept and technical implementation for a User Defined Operational Picture (UDOP). The purpose of the UDOP capability is to create, visualize, and share decision-focused views of the operational environment for decision-makers to support accurate situation awareness and timely decision-making. Unlike a traditional Common Operational Picture (COP), a UDOP allows the user to select what information should be included in- or excluded from the data set defining the operational picture at the source. This paper provides an overview of the UDOP capabilities, as well as a description of the initial prototype implementation in an operational setting.
TL;DR: This work presents a method for modeling and simulation of simulated Soldier situational awareness in a constructive simulation based on simulated UDOP capability and known limits of human information processing.
Abstract: The Network-Centric Warfare paradigm provides Ground Soldiers in the U.S. Army with large amounts of information needed to maintain situational awareness and perform successfully in the field. Current information interfaces lack a targeted operational focus and provide a broad superset of data, which results in Ground Soldiers becoming overloaded by extraneous or non-critical information. To address this issue, the U.S. Army is developing User-Defined Operational Picture (UDOP) technology that manages incoming information to maximize Soldier effectiveness. However, many simulation-based analysis tools do not currently provide a means of modeling UDOPs and their effect on Soldier performance, and new modeling and simulation technologies are needed to address this gap. This work presents a method for modeling and simulation of simulated Soldier situational awareness in a constructive simulation based on simulated UDOP capability and known limits of human information processing. We present the modeling of UDOP capability and Soldier decision making through rules, and discuss the advantages and disadvantages of this approach, including verification and validation, computational performance, transition to operational UDOP devices, and ease of modeling.
TL;DR: The use of different visualization techniques are demonstrated to support air-ground coordination to enhance situation awareness through strategic collection, fusion and presentation of air, ground, and space data.
Abstract: Successful management of air assets coordinates many different types of information sources from the air and on the ground for air transportation safety. An example of a combined air-ground operation is air traffic control (ATC), which requires effective visualization of information for users. In this paper, we demonstrate the use of different visualization techniques to support air-ground coordination to enhance situation awareness. Situation awareness is afforded through strategic collection, fusion and presentation of air, ground, and space data. Visual analytics examples are presented using the Java Viewer (JView) User Defined Operating Picture (UDOP) that utilizes the Airspace Concepts Evaluation System (ACES) for civilian aviation applications.