scholarly journals Information indicators of radar portraits of air objects and generalized indicators of the ability of recognition systems to extract information

2018 ◽  
Vol 21 (5) ◽  
pp. 94-104
Author(s):  
R. N. Akinshin ◽  
A. V. Peteshov
Keyword(s):  
A Priori ◽  
Quality Criterion ◽  
Recognition System ◽  
Mean Values ◽  
Amount Of Information ◽  
Information Group ◽  
Priori Information ◽  
Stationary Random Processes ◽  
And Control ◽  
Decisive Rule

To improve the quality of recognition of air objects, it is proposed to use a priori information contained in reference portraits, which are formed adaptively to the conditions of observation. A decisive rule is formulated on the assignment of the observed target to the k-th group under the assumption that the signal and background are normal stationary random processes with zero mean values and the covariance matrices of portraits are known. The quality criterion of recognition is proposed, the result of which implementation is a decision with a probability not below the required Ptr. The price for the implementation of this criterion is the decision content change. For the implementation of the radar recognition system (HRD) with structural-parametric adaptation of the radar it is proposed to introduce into the system a device of the quality and control forecast, which conducts the assessment (forecast) of the amount of information and change the decisive rule of the HRD system in accordance with the received assessment. An indicator of the amount of information extracted by the recognition system from the radar portrait (RLP) is introduced, which is thought as a measure of reducing uncertainty in the decision-making process on the target group with the help of the RLR system. It is shown that the amount of extracted information depends not only on the parameters of the RLP, but also on the algorithm of its processing. The potential amount of information about the goal of the k-th information group contained in the RLP is determined, the concept of a sufficiently informative portrait with the recognition of the goals of all groups is introduced. The concepts of differential and integral contrast are formalized in the case of arbitrarily correlated RLP. The introduced concepts of differential and integral contrasts for the special case of uncorrelated RLP are extended to the General case of arbitrarily correlated RLP.

scholarly journals Special aspects of using a new non-stationary random processes analysis approach in the conditions of a priori uncertainty of the useful signal function

2019 ◽  
Vol 30 ◽  
pp. 03002
Author(s):  
Vladimir Marchuk
Keyword(s):  
Additive Noise ◽  
High Efficiency ◽  
A Priori ◽  
Statistical Characteristics ◽  
Signal Function ◽  
Useful Signal ◽  
Priori Information ◽  
The Time Domain ◽  
A Priori Uncertainty ◽  
Stationary Random Processes

The paper considers the use of a new method of signal processing in the time domain under conditions of a limited amount of a priori information about the useful signal function and the statistical characteristics of additive noise. Research have shown its high efficiency in processing signals both local and global, using it to detect anomalous measurements, eliminating the systematic component in the case of a onesided law of the distribution of additive noise and a number of others.

EFFICIENCY OF NEW METHODS FOR ESTIMATING ORBITS OF UNKNOWN NEAREARTH SPACE OBJECTS USING SHORT OPTICAL TRACKS OBTAINED OVER A FEW WEEKS INTERVAL

2019 ◽  
pp. 92-104
Author(s):  
A. P. Ivanov ◽  
A. E. Kolessa ◽  
A. P. Lukyanov ◽  
V. A. Radchenko
Keyword(s):  
A Priori ◽  
Quality Criterion ◽  
A Priori Information ◽  
Computing Power ◽  
Orbital Parameters ◽  
Near Earth Space ◽  
New Methods ◽  
Space Objects ◽  
Long Time ◽  
Priori Information

The work on a representative array of data demonstrates the capabilities of a new, essentially non‑linear algorithm for estimating the orbital parameters of near‑Earth space objects on several short optical tracks separated by long time pauses. The analysis of the work of the algorithm was carried out for five space objects moving in different orbits, including circular, high‑elliptical and low‑orbit with deceleration in the atmosphere and without it. When obtaining estimates of the parameters of the orbits, a priori information was not used. In all the experiments performed, including for very short tracks separated by a long pause in the observations, the minimum possible values of the quality criterion were achieved. The algorithm does not require large computing power – the calculation of the orbit on two tracks on a portable personal computer takes a split second.

scholarly journals Autonomous Trajectory Planning and Control of Anti-Radiation Loitering Munitions under Uncertain Conditions

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2399
Author(s):  
Linyuan Bai ◽  
Hongchuan Luo ◽  
Haifeng Ling
Keyword(s):  
Trajectory Planning ◽  
Particle Filtering ◽  
A Priori ◽  
Planning And Control ◽  
Autonomous Planning ◽  
Sensing Model ◽  
Priori Information ◽  
Radar Information ◽  
And Control ◽  
Trajectory Planning And Control

As an autonomous system, an anti-radiation loitering munition (LM) experiences uncertainty in both a priori and sensed information during loitering because it is difficult to accurately know target radar information in advance, and the sensing performance of the seeker is affected by disturbance and errors. If, as it does in the state of the art, uncertainties are ignored and the LM travels its planned route, its battle effectiveness will be severely restricted. To tackle this problem, this paper studies the method of autonomous planning and control of loitering routes using limited a priori information of target radar and real-time sensing results. We establish a motion and sensing model based on the characteristics of anti-radiation LMs and use particle filtering to iteratively infer the target radar information. Based on model predictive control, we select a loitering path to minimize the uncertainty of the target information, so as to achieve trajectory planning control that is conducive to the acquisition of target radar information. Simulation results show that the proposed method can effectively complete the autonomous trajectory planning and control of anti-radiation LMs under uncertain conditions.

BUDGET ESTIMATION AND CONTROL FOR BAG-OF-TASKS SCHEDULING IN CLOUDS

2011 ◽  
Vol 21 (02) ◽  
pp. 219-243 ◽  
Author(s):  
ANA-MARIA OPRESCU ◽  
THILO KIELMANN ◽  
HARALAMBIE LEAHU
Keyword(s):  
A Priori ◽  
Task Completion ◽  
Time Intervals ◽  
Tasks Scheduling ◽  
Cloud Environments ◽  
Elastic Applications ◽  
Estimation And Control ◽  
Priori Information ◽  
And Control ◽  
The Given

Commercial cloud offerings, such as Amazon's EC2, let users allocate compute resources on demand, charging based on reserved time intervals. While this gives great flexibility to elastic applications, users lack guidance for choosing between multiple offerings, in order to complete their computations within given budget constraints. In this work, we present BaTS, our budget-constrained scheduler. Using a small task sample, BaTS can estimate costs and makespan for a given bag on different cloud offerings. It provides the user with a choice of options before execution and then schedules the bag according to the user's preferences. BaTS requires no a-priori information about task completion times. We evaluate BaTS by emulating different cloud environments on the DAS-3 multi-cluster system. Our results show that BaTS correctly estimates budget and makespan for the scenarios investigated; the user-selected schedule is then executed within the given budget limitations.

scholarly journals Formally proving whether the software implementation of models applied in instrumentation and control systems conform to the specified requirements

2021 ◽  
Vol 1 (7) ◽  
pp. 99-108
Author(s):  
Eduard S. Lapin ◽  
◽  
Marat I. Abdrakhmanov ◽  
Keyword(s):  
Control Systems ◽  
A Priori ◽  
Mining Industry ◽  
Software Implementation ◽  
Finite State Automaton ◽  
Software Model ◽  
Finite State ◽  
Initial Description ◽  
Priori Information ◽  
And Control

Research objective is to study the possibility to formally validate whether the model’s software implementation meets all the specified requirements of the systems, the model of which can be represented in the form of finite-state automata. Research relevance. At one of the first stages, the development of software for instrumentation and control systems provides for the creation of the system model. The model is based on the terms of reference, specification, and various a priori information. Most of the models for engineering systems in the modern mining industry (conveyor systems, ventilation systems, etc.) can be described in terms of the finite state automaton model. Such a model can be applied to solve diverse tasks. The next step is to implement the model in whole or in part. In this context, the task arises to determine the model’s software implementation conformity to its initial description. Results. One way to solve the task is to formally prove that the software model possesses the properties which are provided in the specification (description) of the initial model. By the example of the mine conveyor system, the paper illustrates the application of the method which consists in the software implementation of the corresponding finite-state automaton model, forecasting whether the model possesses the properties through theorems and their subsequent proof by applying special software. Conclusions. Formal methods of specification, development, and verification of system models’ software implementation together with other methods make it possible to improve the quality and reliability of solutions under development.

Identification and Control of Multidimensional Delayed Processes in Conditions of Incomplete Information

2021 ◽  
Vol 27 (12) ◽  
pp. 658-667
Author(s):  
A. V. Medvedev ◽  
◽  
D. I. Yareshchenko ◽  
Keyword(s):  
Incomplete Information ◽  
A Priori ◽  
Identification Problem ◽  
Control Algorithms ◽  
Main Task ◽  
Multidimensional System ◽  
Implicit Equations ◽  
Priori Information ◽  
Definition Of ◽  
And Control

Problems of identification and control of multidimensional discrete-continuous processes with delay in conditions of incomplete information about the object are considered. In such conditions, the form of parametric equations for various channels of the object is absent due to the lack of a priori information. Moreover, multidimensional processes have stochastic dependences of the components of the vector of output variables. Under such conditions, the mathematical description of such processes leads to a system of implicit equations. Nonparametric identification and control algorithms for multidimensional systems are proposed. The main task of modeling such processes is to determine the predicted values of the output variables from the known input. Moreover, for implicit equations, it is only known that one or another output variable can depend on other input and output variables that determine the state of a multidimensional system. In this study, a nontrivial situation arises when solving a system of implicit equations under conditions when the dependences between the components of the output variables are unknown. The application of the parametric theory of identification in this case will not lead to success. One of the possible directions is the use of the theory of nonparametric systems. The main content of the work is the solution of the identification problem in the presence of dependencies of the output variables and then the solution of the control problem for such a process. Here you should pay attention to the fact that when determining the reference actions for a multidimensional system, it is first necessary to solve the system of reference actions, since it is not possible to choose arbitrarily setting influences from the range of definition of output variables. Computational eXperiments aimed at investigating the effectiveness of the proposed identification and control algorithms are presented.

Innovative Approach to Information Search by Example of a Patent Analysis of an Important Substitution Plan

2020 ◽  
pp. 143-157
Author(s):  
Maria A. Milkova
Keyword(s):  
Information Search ◽  
Topic Modeling ◽  
Cognitive Biases ◽  
A Priori ◽  
Import Substitution ◽  
Innovative Approach ◽  
Iterative Search ◽  
Comprehensive Picture ◽  
Priori Information ◽  
Selection Of

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.

Disrupted Salience and Cingulo-Opercular Network Connectivity During Impaired Rapid Instructed Task Learning in Schizophrenia

2021 ◽  
pp. 216770262095934
Author(s):  
Julia M. Sheffield ◽  
Holger Mohr ◽  
Hannes Ruge ◽  
Deanna M. Barch
Keyword(s):  
A Priori ◽  
Network Connectivity ◽  
Task Learning ◽  
Human Ability ◽  
Functional Brain Networks ◽  
Task Goals ◽  
Multivariate Pattern ◽  
And Control ◽  
Goal Directed Behavior

Rapid instructed task learning (RITL) is the uniquely human ability to transform task information into goal-directed behavior without relying on trial-and-error learning. RITL is a core cognitive process supported by functional brain networks. In patients with schizophrenia, RITL ability is impaired, but the role of functional network connectivity in these RITL deficits is unknown. We investigated task-based connectivity of eight a priori network pairs in participants with schizophrenia ( n = 29) and control participants ( n = 31) during the performance of an RITL task. Multivariate pattern analysis was used to determine which network connectivity patterns predicted diagnostic group. Of all network pairs, only the connectivity between the cingulo-opercular network (CON) and salience network (SAN) during learning classified patients and control participants with significant accuracy (80%). CON-SAN connectivity during learning was significantly associated with task performance in participants with schizophrenia. These findings suggest that impaired interactions between identification of salient stimuli and maintenance of task goals contributes to RITL deficits in participants with schizophrenia.

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