Implementation of JDL Model for Multidimensional Measurements Processing in the Environment of Intelligent GIS

Implementation of JDL Model for Multidimensional Measurements Processing in the Environment of Intelligent GIS

Alexander Vodyaho (Saint-Petersburg State Electrotechnical University, Saint-Petersburg, Russia) and Nataly Zhukova (Saint-Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Saint-Petersburg, Russia)
DOI: 10.4018/ijcssa.2014010103


The paper describes the JDL model oriented on solving tasks of multidimensional measurements processing in various subject domains. The results of the processing are represented in a form that is interpretable by both computers and common users and can be used for solving a wide range of applied tasks. The proposed model is implemented in an agile systems for multidimensional measurements processing based on intelligent GIS technologies. The systems are efficiently used for solving a number of complicated tasks of measurements of dynamic objects parameters processing and analyses.
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Active development that is observed almost in all spheres of human activities since the end of the 20th century demands involvement of various highly complicated technical objects the number of which is constantly increasing. All these objects interact with each other and natural objects that surround them. Results of such interactions impact on the state of objects and the state of the environment. It is necessary to note that produced impact is almost always unpredictable. Various specialized instruments are continuously measure hundreds of different parameters that identify each object state. For controlling the state of natural objects and environment both American and European projects are carried out. These projects are nowadays are under precise attention of the governments and the society.

For gathered data processing and analyses two types of systems are commonly used. Systems of the first type are specialized systems, which are oriented on processing data from predefined number of measurement instruments. Such systems usually implement algorithms developed by producers of the measurement instruments or by experts of the subject domain. Systems of the second type are measurement processing tools that provide end users implementation of all kinds of mathematical and empirical algorithms, as well as intelligent algorithms, that are mostly open source and are developed by the scientific community. It is the end user response to choose the proper algorithm, to define its parameters and to estimate correctness of results. As an example of such systems R package (R project) can be considered that now is supported and developed by R Foundation. Due to increasing amount of gathered data and complexity of end users tasks, constantly increasing requirements to precision of provided results and limited time many open source statistical and especially intelligent algorithms were adapted to subject domains and implemented in specialized systems for data processing.

One of the quickly developing subject domains is telemetric information (TMI) processing (Nazarov, 2007). TMI processing systems (TMIPS) are oriented on processing of all kinds of measurements of complicated technical objects parameters. Historically TMIPS were developed for solving problems of the space domain, in particular, problems of objects state monitoring and control, localization of faults as well as detailed analyses and exploration of objects behavior. Due to priority of such domains as aviation and space all algorithms and methods for measurements processing implemented in these systems are well worked out and provide high quality solutions. Complexity of the data being processed in these systems, especially time series of measurements, allows to use developed algorithms for solving applied tasks in various subject domains. The main problem of the modern TMIPS is that provided results are very complicated and can be interpreted only by experts. The second problem of TMIPS that is to be solved is the problem of gathering operative information about state of environment in which an analyzer operates.

The enumerated problems can be solved using technologies provided by intelligent geo information systems (IGIS) (Usupov, 2013). IGIS are understood as GIS which contain integrated means and tools of artificial intelligence (AI). IGIS are highly appreciated among end users as they provide actual data about analyzed objects, phenomena and environment that are informative and can be easily understood. The list of problems that can be solved using IGIS includes such complex problems as situation monitoring, modeling and decision-making support. Solutions provided by IGIS are presented in user friendly form that is interpretable by both experts and by common users. The technologies implemented in IGIS are universal and can be used in all subject domains but for each domain an appropriate adaptation for the solutions provided by IGIS is to be made. Adaptation for the domain of multidimensional measurements processing (MMP) assumes integration of solutions implemented in TMIPS, in particular, extension of IGIS mathematical libraries with the methods and algorithms for measurements processing, the set of the implemented technologies with the technologies of intellectual data analyses and the applied information models with the specialized models for measurements and results of their processing representation. Integrated solutions will allow building intellectual multidimensional measurements processing systems based on IGIS technologies (IMMP IGIS) that can process large amounts of heterogeneous data.

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