Situational adapting system supporting team situation awareness

ABSTRACT Military fighter pilots have to make suitable decisions fast in an environment where continuously increasing flows of information from sensors, team members and databases are provided. Not only do the huge amounts of data aggravate the pilots' decision making process: time-pressure, presence of uncertain data and high workload are factors that can worsen the performance of pilot decision making. In this paper, initial ideas of how to support the pilots accomplishing their tasks are presented. Results from interviews with two fighter pilots are described as well as a discussion about how these results can guide the design of a military fighter pilot decision support system, with focus on team cooperation

Моделирование затухающих колебаний в дисках перекрытий, возникающих в структуре каркасного здания

Материалы XV Междунар. науч.-техн. конф. студентов, аспирантов и молодых ученых, Гомель, 23–24 апр. 2015 г

Managing Multiple Views Using Split-views

We present the split-view: a hierarchical tiled view approach for managing multiple views within a single window. Our method for managing multiple views is based on three principles: (i) hierarchical view organization, (ii) rectangular tiled layout, and (iii) multi-view operations. Hierarchical view organization supports user structuring their views according to task hierarchy. The rectangular tiled layout allows some flexibility in the placement of views and allows views to conform to their content. Multi-view operators together with hierarchical view organization allow rapid task-switching and reduce the number of view operations. Multi-view resize operations help the user to compare information in adjacent views and allow views to conform to their content. Multi-view minimize, maximize, and restore operations help the user to concentrate on important information as well as enabling fast task-switching. Multi-view rotate operations help the user to compare information in views not o..

A Definitional Approach to KBS Construction

A definitional approach to the construction of knowledge-based systems is presented. The notions of a knowledge base and the logical interface of a knowledge base are discussed. 1 Introduction This paper presents some preliminary results from a project in which we intend to study the problem of giving mathematically precise and implementation independent models of the notion of a knowledge base. These models will then serve as a basis for computer aided development and testing of specialized knowledge-based systems (KBS). We will especially concentrate on trying to characterize the logical interface of a KB, i.e. a user's basic conceptual model of a given KB. This paper does not present any final results, but is merely a first attempt of putting some of the main ideas down on paper. The rest of this paper is organized as follows. In Sect. 2 we describe what we mean by a knowledge base and the notion of a logical interface of a knowledge base. We also provide a small example of a know..

Conformal prediction for distribution-independent anomaly detection in streaming vessel data

This paper presents a novel application of the theory of con-formal prediction for distribution-independent on-line learn-ing and anomaly detection. We exploit the fact that confor-mal predictors give valid prediction sets at specified confi-dence levels under the relatively weak assumption that the (normal) training data together with (normal) observations to be predicted have been generated from the same distri-bution. If the actual observation is not included in the pos-sibly empty prediction set, it is classified as anomalous at the corresponding significance level. Interpreting the signif-icance level as an upper bound of the probability that a nor-mal observation is mistakenly classified as anomalous, we can conveniently adjust the sensitivity to anomalies while controlling the rate of false alarms without having to find any application specific thresholds. The proposed method has been evaluated in the domain of sea surveillance using recorded data assumed to be normal. The validity of the prediction sets is justified by the empirical error rate which is just below the significance level. In addition, experiments with simulated anomalous data indicate that anomaly detec-tion sensitivity is superior to that of two previously proposed methods

Technical Diagnosis of Telecommunication Equipment - An Implementation of a Task specific Problems solving method (TDFL) using GCLA II

This paper describes an implementation of a small knowledge-based system in GCLA II. GCLA II is perhaps best described as a logical programming language, with some properties usually found among functional languages, and it includes hypothetical and non-monotonic reasoning as integral parts, which makes it easy to handle hypothetical queries, negation and AI-techniques like simulation and planning in a natural way. It also makes implementation of reasoning in knowledge-based systems (KBS) more direct than in Prolog. The application is an already existing KBS that guides a service technician in the task of diagnosing a specific device which is a measuring instrument for testing telecommunications equipment. The method used in the application is a problem solving method called TDFL. The TDFL method is a task specific problem solving method for technical diagnosis that gives strong support for knowledge acquisition. The method is adapted to cope with some features of the application. For example, it gives support for reducing the time required for observations and it handles parts that are not directly testable. This paper describes how to adjust the TDFL method to remedy some errors present in the original version; avoiding unnecessary search of the device and eliminating unnecessary confirmations. Some future extensions to both the TDFL method and the implementation are also presented; allowing the search for more than one fault and the possibility of turning the diagnosis backwards