A soft-information fusion process produces refined estimates of soft-information, such as natural language messages. Information resulting from a soft-information process can be used to retrieve related, relevant info...
详细信息
A soft-information fusion process produces refined estimates of soft-information, such as natural language messages. Information resulting from a soft-information process can be used to retrieve related, relevant information from background (a-priori) knowledge sources using contextual “cues” contained in those messages, a process we call “Context-Based Information Retrieval (CBIR)”. these retrieval results can be used to aid further understanding, and other fusion operations (e.g., data association). CBIR process performance is dependent on the choice of algorithms and parameters for those algorithms, and it is crucial that these are chosen appropriately for the problem domain the CBIR algorithm is used to aid. In this paper an f-measure evaluation of two spreading activation algorithms and their parameters is given using a soft information fusion process in a counterinsurgency domain. this evaluation takes place in two phases. the first phase executes the algorithms over a range of values in order to determine how those parameters affect the performance of the algorithms, and to set these parameters for future use. the second phase compares the results of these algorithms using the parameter settings learned from the first phase.
As part of ITS initiatives worldwide, Advanced Traveler Information Systems (ATIS) provide potential travelers with information and images from roadway and roadside technology. this information benefits the traveling ...
详细信息
As part of ITS initiatives worldwide, Advanced Traveler Information Systems (ATIS) provide potential travelers with information and images from roadway and roadside technology. this information benefits the traveling public by improving pre-travel routing and other trip planning capabilities. As part of broader traffic management ITS strategies, these systems improve overall safety by reducing the number of congestion-related crashes and improve the efficiency of transportation systems by increasing roadway capacity. However, the development of an ATIS offers numerous challenges that are unique to the individual region served. the cost of deployment and operation is of critical importance, particularly for states with smaller populations and transportation budgets. this paper presents the design of the Oklahoma Pathfinder ATIS, addressing the state's constraints and exploiting the state's unique ITS deployment. It details the information capabilities, deployment experiences, and traveler reception of the system.
Diagnosability analysis of functions offers now a serious complement to knowledge-based methods of diagnosis, such as FMEA (Failure Mode and Effects Analysis) and fault tree analysis. State of the art of diagnosabilit...
详细信息
Diagnosability analysis of functions offers now a serious complement to knowledge-based methods of diagnosis, such as FMEA (Failure Mode and Effects Analysis) and fault tree analysis. State of the art of diagnosability analysis focus on what we call "functional diagnosability", where the hardware architecture of the system and its constraints are not directly considered. this paper contributes to the analysis of the functions-architecture interaction impact on the diagnosability of an embedded system, especially automotive systems. the approach we developed can be integrated into the design cycle. It has two important phases; first, the diagnosability analysis of discrete event systems, then the verification of a property set that we have defined and called the “diagnosability functional-architectural properties”. Properties verification is done in two stages: check the description of the architecture, described in AADL, and check the functions-architecture interaction, modeled in SystemC-Simulink. the validation process is applied on a real automotive experimental embedded platform based on several Electronic Control Units. Finally, we have developed through this paper a novel methodology for the analysis of diagnosability that takes into account the constraints of the hardware architecture of the system.
As described herein, we propose an unsupervised method for segmentation of magnetic resonance (MR) brain images by hybridizing the self-mapping characteristics of 1-D Self-Organizing Maps (SOMs) and using incremental ...
详细信息
the development of intelligent transport systems such as driver assistance systems currently faces increasing system complexity and a growing number of requirements, e.g. from safety standards. thus, requirements engi...
详细信息
the development of intelligent transport systems such as driver assistance systems currently faces increasing system complexity and a growing number of requirements, e.g. from safety standards. thus, requirements engineering activities gain an increasingly important role when it comes to the development of safety-critical transport systems. As an example, the introduction of ISO 26262 in the automotive domain requires the adaptation of existing industrial development processes to comply withthe upcoming standard. the proposed methods address the new demand in requirements management for a safer development of driver assistance systems. By means of ontologies, domain requirements such as from ISO 26262 are formalized providing a reference model to support semi-automated requirements discovery. Based on this formalized knowledge and an automatically identified selection criterion such as the system's Automotive Safety Integrity Level (ASIL), the large set of process and product related requirements of ISO 26262 is tailored to a reduced set of applicable steps and methods for a project specific development process. the proposed methods have been implemented in a prototype toolchain. In terms of driver assistance systems, a lane departure warning system is used as an application example to illustrate the proceeding.
In an effort to monitor and alleviate roadway traffic conditions, the Oklahoma Department of Transportation (ODOT) has deployed a statewide Intelligent Transportation Systems (ITS) architecture consisting of a large n...
详细信息
In an effort to monitor and alleviate roadway traffic conditions, the Oklahoma Department of Transportation (ODOT) has deployed a statewide Intelligent Transportation Systems (ITS) architecture consisting of a large number of devices, including cameras, dynamic message signs, and speed sensors along Oklahoma highways. these devices are connected throughout a private ITS fiber-optic network to controlling stations located at stakeholder agencies statewide, forming a virtual Traffic Management Center (TMC). this decentralized approach allows individual consoles on the virtual TMC to display and control reachable devices even if portions of the network become disconnected. Enabling this fault-tolerant design is a novel peer-based communications protocol. the communication system is dynamically configured and automatically resolves communications regardless of network configuration. this paper introduces this robust peer-based approach and describes its implementation within the Oklahoma virtual TMC. Results of this implementation of the system are also presented.
Counter Insurgency operations require the ability to develop accurate representations of the physical environment and the human landscape in various conditions (e.g., urban and non-urban, day and night, and various we...
详细信息
ISBN:
(纸本)9781457702679
Counter Insurgency operations require the ability to develop accurate representations of the physical environment and the human landscape in various conditions (e.g., urban and non-urban, day and night, and various weather conditions). We are developing innovative sensor suites and processing techniques suitable for such domains as part of a larger effort to support human-centric hard/soft data fusion. In this paper, we present a sensor suite, an information processing architecture, examples of the resulting fused information, and future experimental designs. these combined resources present opportunities for creating rich 3-D characterizations of the environment and can support novel hybrid human/computer methods for target characterization, identification, and tracking.
In early 20th century when technology evolve, the performance of systems suffered from the problems of complexity, increasing cost of maintenance and software of hardware failure caused by unpredictable behavior and p...
详细信息
In early 20th century when technology evolve, the performance of systems suffered from the problems of complexity, increasing cost of maintenance and software of hardware failure caused by unpredictable behavior and poor manageability. this fostered researchers to discover new design and techniques that enable the systems to operate autonomously. In 2001, IBM introduces self-managing capabilities (self-organizing, self-healing, self-optimization and self-protection) with autonomous behavior. In this survey, the main concerns are self-healing autonomic computing. Self-healing is an autonomic computing system that detects and diagnoses errors without the need of human intervention. A number of concepts, techniques and functions have been developed in different application areas of self-healing. this survey gives an overview about some approaches and solutions of past and current research in self-healing classified to operating system, routing, security and web services. these proposed approaches and solutions were developed to solve the problems that arise in manual intervention system. To achieve the perfect of self-healing behaviors, its remains an open and significant challenge that can be accomplished through a combination of process changes, new technologies and architecture and open industry standards.
As congestion problems become a greater concern and negatively impact society, solutions which alleviate them are needed to improve the performance of the transportation system. Routing systems which take into account...
详细信息
As congestion problems become a greater concern and negatively impact society, solutions which alleviate them are needed to improve the performance of the transportation system. Routing systems which take into account the travel-time experienced by the driver have been largely unexplored in the domain of adaptive routing. In this article, we present a system which enables users of smartphones to obtain directions generated using an algorithm which provides an optimal routing policy for reliable on-time arrival; that is, directions which seek to maximize the probability of arriving to the destination within a given time budget, rather than to minimize the travel time based on posted speed limits. Our work leverages the geolocation capabilities of smartphones to provide optimal routing directions along the route dependent on the realized (experienced) travel time. the adaptive routing scheme we implement allows for significant power savings and improved driver safety compared to classical routing algorithms; special attention is paid to minimizing driver distraction by emphasizing aural and graphical components over textual elements during route guidance. Finally, we illustrate system performance and design choices on synthetic examples and real traffic data from the Mobile Millennium system in San Francisco.
暂无评论