Strategies for Searching Targets Using Mobile Sensors in Defense Scenarios

Hazra, Tanmoy; Kumar, Suthikshn; Nene, Manisha J.

doi:10.5815/ijitcs.2017.05.08

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…It is obvious, that with stable probabilistic characteristics of functions  ( ) x x t and  ( ) y y t the probabilistic characteristics of the output signal will depend only on the nature of the input image. This statement is proved in [6], [7].…”

Section: Recognition Systems Problemsmentioning

confidence: 61%

Обробка Інформації Оптичним Датчиком Робота За Умови Неповної Вхідної Інформації

Parkhomey

Batrak

Tsopa

et al. 2019

«Адаптивні Системи Автоматичного Управління Міжвідомчий науково

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The range of tasks, solved by the properties of classification and generalization, is quite broad. However, the quality of solving to the problem, for one reason or another, is not always the same. Some tasks cannot be solved at once, but a detailed study of phenomenon allows us to make the necessary classification. For instance, the task is to divide the objects, with the same geometric dimensions and objects, by visual observation into two classes. Moreover, the part is madeof steel, and another one -of gypsum. In principle, such task cannot be solved.To classify these subjects, a more detailed study of them is required. It is sufficiently to get data on the weight of objects, so that the task of classification has become trivial. The difficulty is to find such a description of phenomenon, in which the image (phenomenon), within each class, would have defined similar properties. Therefore, in order to eliminate the effect of interference on the recognition process, it is proposed to introduce a special decisive rule based on the fact that the decision to attach the image to the image is made on the basis of an analysis of images that have fallen into a definite close space that is classified.

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Section: Recognition Systems Problemsmentioning

confidence: 61%

Обробка Інформації Оптичним Датчиком Робота За Умови Неповної Вхідної Інформації

Parkhomey

Batrak

Tsopa

et al. 2019

«Адаптивні Системи Автоматичного Управління Міжвідомчий науково

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“…If the cost of the error of the first and the second kind are the same, that is, if The expression (17) is a rule (8). Therefore, it can be argued that, no introduction of additional probabilistic information about unknown signs, in the case of equality of cost of errors, can give rules better than rule (6).…”

Section: Let the Given Imagementioning

confidence: 99%

Identification information sensors of robot systems

Parkhomey

Boiko

Eromenko

2019

IJEECS

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At the present time, the complexity of identification is to find such a description, in which the image (information) of each class would have identified similar properties. The task is to make the transformed description includes the whole set of input images, united by the similarity class by the given ratio.Using the ordinates of an autocorrelation function is an inseparable shift in the center of gravity of an image, which leads to a change of such description.Nicest, the concept of an invariant description of information arises, this is an autocorrelation function, which is invariant to the description of any displacements of the image in the vertical and horizontal directions.The problem of finding an optimal decision rule arises, which, in a number of cases, can be constructed on the basis of a method, based on the definition of the maximum incomplete coefficient of similarity.Using this method, the solutions, that are almost unintelligible to the errors that arise due to the effects of interference, are found. Therefore, in increments k, this rule passes into the Bayes’ rule.

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“…The carried a survey on the knowledge representation models. Hazra et al [23] addresses a number of target searching problems related to various defense scenarios by considering mobile sensors.…”

Section: A Earthquake Predictionmentioning

confidence: 99%

Rapid Earthquake Alarm System and Real-Time Automated Action: Application of Multi-Agent Hardware

Ghodselahi¹,

Ghodselahi²,

Tondnevis³

2018

IJITCS

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Abstract-Earthquake is the most dangerous natural disaster in the whole era of human being life. Scientist efforts for predicting earthquake have no prolific result, so far. The earth complexity and geology structures are the main obstacles of these efforts. The importance of time at the occurrence of the earthquake has resulted in using powerful systems for real-time alarming and therefore lessening the casualties of the earthquake. In this paper we have designed a rapid earthquake alarm system and we have implemented it in parallel processing and continuous processing. We have tried to apply hardware intelligent agents for real-time and parallel processing of data and data fusion of sensors. By applying this technology, the performance of rapid earthquake alarm system will be improved. Through this improvement, the rapid and automated action of rapid earthquake alarm system can lead to reducing the effect of earthquake.

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Strategies for Searching Targets Using Mobile Sensors in Defense Scenarios

Cited by 8 publications

References 21 publications

Обробка Інформації Оптичним Датчиком Робота За Умови Неповної Вхідної Інформації

Обробка Інформації Оптичним Датчиком Робота За Умови Неповної Вхідної Інформації

Identification information sensors of robot systems

Rapid Earthquake Alarm System and Real-Time Automated Action: Application of Multi-Agent Hardware

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