scholarly journals Method of searching for information objects in unified information space

2021 ◽  
pp. 34-46
Author(s):  
Alexander Dodonov ◽  
Vadym Mukhin ◽  
Valerii Zavgorodnii ◽  
Yaroslav Kornaga ◽  
Anna Zavgorodnya
Keyword(s):  
Computer System ◽  
Object Identification ◽  
Information Space ◽  
Information Object ◽  
Information Objects

The article discusses the concept and principles of building unified information space and presents a scheme for its formation. The article considers formation of unified information space using a specialized information computer system, which is actually a hardware and software basis for supporting unified information space. The stages of information object identification in unified information space are considered. The article suggests a method for finding missing features of an incoming object by implementing the information objects interaction with each other within unified information space.

scholarly journals Method of Parallel Information Object Search in Unified Information Spaces

2021 ◽  
Vol 13 (4) ◽  
pp. 1-13
Author(s):  
Alexander Dodonov ◽  
◽  
Vadym Mukhin ◽  
Valerii Zavgorodnii ◽  
Yaroslav Kornaga ◽  
...  
Keyword(s):  
Computer System ◽  
Experimental Studies ◽  
Search Time ◽  
Object Identification ◽  
Information Space ◽  
Information Spaces ◽  
Information Object ◽  
Object Search ◽  
Proportional Relationship ◽  
Special Information

The article describes the concept of a unified information space and an algorithm of its formation using a special information and computer system. The process of incoming object search in a unified information space is considered, which makes it possible to uniquely identify it by corresponding features. One of the main tasks of a unified information space is that each information object in it is uniquely identified. For this, the identification method was used, which is based on a step-by-step analysis of object characteristics. The method of parallel information object search in unified information spaces is proposed, when information object search will be conducted independently in all unified information spaces in parallel. Experimental studies of the method of parallel information object search in unified information spaces were conducted, on the basis of which the analysis of efficiency and incoming objects search time in unified information spaces was carried out. There was experimentally approved that the more parameters that describe the information object, the less the time of object identification depends on the length of the interval. Also, there was experimentally approved that the efficiency of the searching of the incoming objects in unified information spaces tends to a directly proportional relationship with a decrease in the length of the interval and an increase in the number of parameters, and vice versa.

scholarly journals Devising a method to identify an incoming object based on the combination of unified information spaces

2021 ◽  
Vol 3 (2 (111)) ◽  
pp. 35-44
Author(s):  
Vadym Mukhin ◽  
Valerii Zavgorodnii ◽  
Yaroslav Kornaga ◽  
Anna Zavgorodnya ◽  
Ievgen Krylov ◽  
...  
Keyword(s):  
Object Identification ◽  
Information Space ◽  
Information Spaces ◽  
Identification Process ◽  
Information Object ◽  
Object Based ◽  
Tier System ◽  
Combine Information ◽  
Different Levels ◽  
Information Objects

This paper suggests a method to search for an incoming object in order to identify its unambiguously, based on the integration of information spaces into intermediate unified information space. At the same time, the incoming object identification process involves appropriate attributes. This paper describes the process of information object arrangement within a unified information space that forms for a set of dynamically changing objects. It should be noted that each subject in the set collects information about the environment, including interaction with other objects. In the process of forming a unified information space, the information system collects information from data sources that are represented in different formats. The system then converts this information and forms a unified information space, thereby providing users with information about objects. A two-tier system of connections at the global (cloud) and local (fog) levels of interactions has been considered. At the same time, it should be noted that a unified information space formation requires the implementation of tools to support the transformation of information objects; that necessitates the implementation of translators ‒ special converters at different levels. A method to combine information spaces into an intermediate unified information space has been proposed; analysis was performed to determine the time and efficiency of the search for incoming objects within it. It was experimentally established that the more parameters that describe an information object, the less the time to identify an object depends on the length of the interval. It has also been experimentally shown that the efficiency of finding incoming objects tends to be a directly proportional dependence while reducing the length of the interval and increasing the number of parameters, and vice versa

Design of Information Spaces and Retrieval of Information using Electrostatics in Virtual Spaces

2016 ◽  
pp. 196-205
Author(s):  
Vaibhav Madhok ◽  
Navin Rustagi
Keyword(s):  
Conceptual Framework ◽  
Physical Environment ◽  
Virtual Team ◽  
Information Space ◽  
Information Spaces ◽  
Virtual Spaces ◽  
Information Objects

Humans have a rich awareness of locations and situations that directs how we interpret and interact with our surroundings. The principle aim of this paper is to create ‘Information Spaces' where people will use their awareness to search, browse and learn. In the same way that they navigate in a physical environment, they will navigate through knowledge. An information space is a type of design in which representations of information objects are situated in a principled space. In this chapter we present an architecture based on the principles of electrostatistics, which presents a model for design of information spaces. Our model gives an easy conceptual framework to reason about how information can be represented as well as secure ways of extracting and storing information leading to a design which are easily scalable in virtual team environments.

scholarly journals An Efficient Correlation-Based Cache Retrieval Scheme at the Edge for Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6846
Author(s):  
Ngoc-Thanh Dinh ◽  
Young-Han Kim
Keyword(s):  
Internet Of Things ◽  
Semantic Information ◽  
Data Caching ◽  
Semantic Correlation ◽  
Iot Applications ◽  
Information Object ◽  
Retrieval Scheme ◽  
Iot Devices ◽  
Approximate Answer ◽  
Information Objects

Existing caching mechanisms considers content objects individually without considering the semantic correlation among content objects. We argue that this approach can be inefficient in Internet of Things due to the highly redundant nature of IoT device deployments and the data accuracy tolerance of IoT applications. In many IoT applications, an approximate answer is acceptable. Therefore, a cache of an information object having a high semantic correlation with the requested information object can be used instead of a cache of the exact requested information object. In this case, caching both of the information objects can be inefficient and redundant. This paper proposes a caching retrieval scheme which considers the semantic information correlation of information objects of nodes for cache retrieval. We illustrate the benefits of considering the semantic information correlation in caching by studying IoT data caching at the edge. Our experiments and analysis show that semantic correlated caching can significantly improve the efficiency, cache hit, and reduce the resource consumption of IoT devices.

scholarly journals Algorithm Analysis and Assessment of the Information Objects in Adaptive Systems

2021 ◽  
Vol 2096 (1) ◽  
pp. 012028
Author(s):  
A Obukhov ◽  
A Volkov
Keyword(s):  
Adaptive Systems ◽  
Complex Structure ◽  
The State ◽  
Assessment Process ◽  
Algorithm Analysis ◽  
Information Object ◽  
Urgent Task ◽  
Speed Up ◽  
Main Components ◽  
Information Objects

Abstract Analysis and assessment of the state of information objects is an urgent task in adaptive systems. Information about the current state of the system, its constituent components, the object of observation can be used in the decision-making process or in the implementation of control algorithms. However, an information object can have a complex structure or be characterized by many features, among which it is difficult to distinguish the main components. Therefore, an algorithm for analyzing and assessing the state of information objects is proposed, based on obtaining the compressed state of objects using neural networks. The resulting compressed state sufficiently characterizes the original object, but has a lower dimension. This can be used to speed up the analysis and assessment process and improve its accuracy in adaptive systems.

scholarly journals Modeling of Spatial Data on the Construction Site Based on Multidimensional Information Objects

2019 ◽  
Vol 8 (6) ◽  
pp. 3934-3940
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Information Modeling ◽  
Master Planning ◽  
Mathematical Form ◽  
Construction Site ◽  
Master Plans ◽  
Information Object ◽  
Multidimensional Information ◽  
Information Objects

The article presents information modeling different types of spatial data on the construction site. The description of spatial and attribute data based on multidimensional information objects (MIO) is determined. It is proposed to use a new type of MIO called modified multidimensional information objects (MMIO). MIO and MMIO schemes are developed for each type of master planning object in the form of one multidimensional information object. Complete descriptions of layers of point, linear and polygonal spatial objects are presented, which allows simplifying the model of the structure of existing databases of spatial information processing systems. The results of the study show that multidimensional information objects allow describing in unified mathematical form sets of various types of spatial data models. The result of modeling of general planning spatial based on multidimensional information objects corresponds the modern requirements of information modeling in construction  BIM-technology and design of master plans on the new technological level.

scholarly journals Integrated Processing of Spatial Information based on Multidimensional Data Models for General Planning Tasks

2021 ◽  
pp. 55-62
Author(s):  
Viktor Mihaylenko ◽  
Tetyana Honcharenko ◽  
Khrystyna Chupryna ◽  
Tamara Liazschenko
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Data Models ◽  
Information Modeling ◽  
Relational Model ◽  
Multidimensional Data ◽  
Attribute Data ◽  
Information Object ◽  
Multidimensional Information ◽  
Information Objects

The article presents the development of method of integrated spatial information processing based on multidimensional data models. Joint description of spatial data of different levels of detail (LOD) using a multidimensional model and attribute data using a relational model is difficult and requires the development of modified structures of multidimensional data models. The description of spatial and attribute data based on multidimensional information objects (MIO) is determined. It is proposed to use a new type of MIO - modified multidimensional information objects (MMIO). MIO and MMIO schemes allow describing multidimensional information objects and relationships in the form of a single multidimensional structure. On the basis of the introduced method of joint description of spatial and attributive data using extended multidimensional information objects, a multidimensional data model is built. This approach allows integrating different types of databases and contains a unified description of spatial and attribute data in the form of a multidimensional information object. The developed method is supposed to be used in BIM (Building Information Modeling) technology of computer modeling to solve general planning tasks.

Design of Information Spaces and Retrieval of Information Using Electrostatics in Virtual Spaces

2018 ◽  
pp. 313-322
Author(s):  
Vaibhav Madhok ◽  
Navin Rustagi
Keyword(s):  
Conceptual Framework ◽  
Physical Environment ◽  
Virtual Team ◽  
Information Space ◽  
Information Spaces ◽  
Virtual Spaces ◽  
Information Objects

Humans have a rich awareness of locations and situations that directs how we interpret and interact with our surroundings. The principle aim of this paper is to create ‘Information Spaces' where people will use their awareness to search, browse and learn. In the same way that they navigate in a physical environment, they will navigate through knowledge. An information space is a type of design in which representations of information objects are situated in a principled space. In this chapter we present an architecture based on the principles of electrostatistics, which presents a model for design of information spaces. Our model gives an easy conceptual framework to reason about how information can be represented as well as secure ways of extracting and storing information leading to a design which are easily scalable in virtual team environments.

scholarly journals On quantitative characteristics of information resources

Informatics ◽  
2020 ◽  
Vol 17 (3) ◽  
pp. 87-94
Author(s):  
L. I. Tochicki
Keyword(s):  
Auxiliary Information ◽  
Information Resources ◽  
Design Decision ◽  
Information Unit ◽  
Information Object ◽  
Quantitative Characteristics ◽  
System Information ◽  
Properties Of Information ◽  
Information Objects

The quantitative characteristics of information resources for automated information systems (AIS) are proposed in the paper. The entities represented in the AIS by the information object mappings and their components (information unit and information element) are considered. The composition of the system information space is substantiated, which represents the whole amount of information being processed in the system, auxiliary information resources and all data of the system and its users. Application of the quantitative values to AIS information resources characteristics, taking into account the sense properties of information objects being mapped in AIS, will make it possible to raise the design decision making quality of AIS and its performance within the lifecycle.

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