Research of the Organization and Use of Network Resources Integration Based on Information Source Retrieval

2014 ◽  
Vol 687-691 ◽  
pp. 1954-1957
Author(s):  
Xiu Juan Zhu

In view of the increasingly rich network information resources, this paper analyzes the necessity of network information resources integration, and introduces the classification of information sources. The most important part is to discuss different levels of integration of network resources, such as in the presentation layer, application layer and data layer.

2013 ◽  
Vol 7 (2) ◽  
pp. 565-573
Author(s):  
O. Osunade ◽  
R. D. Oloritun

As network information resources grew in size, it was most efficient to process queries and updates at the site where the data was located. The processing accomplished by a traditional client-server network interface constrained the client to the set of queries supported by the server, or required the server to send all data to the client for processing. The former was inflexible and the latter was inefficient. Mobile agents support the movement of the client computation to the location of the remote resource. It has the potential to be flexible and efficient. Mobile agents are capable of suspending their execution, transporting themselves to another host on a network, and resuming execution from the point at which they were suspended. Mobile agents consume fewer network resources and support systems that do not have permanent network connections, such as mobile computers and personal digital assistants. This work described a prototype java based mobile agent environment for the development and deployment of mobile agent applications. The prototype called SIMMAS allowed programmer-developed applications to inherit mobility.


10.1629/16313 ◽  
2003 ◽  
Vol 16 (3) ◽  
pp. 313-317
Author(s):  
Lotte Jørgensen ◽  
Anna Alwerud ◽  
Ingegerd Rabow ◽  
Salam Baker Shanawa ◽  
Lars Bjørnshauge

2021 ◽  
pp. 124-131
Author(s):  
Marina Zyryanova

This article presents the classification of fakes on grounds of the information source that underlies the occurrence of false information. The study was perfomed on the coronavirus fakes that spread in Russian Federation in March 2020 during the beginning of the coronavirus pandemic in our country. For the analysis, only those fakes were taken, which the Administrations of the Russian regions promptly denied in their official accounts on social networks. Based on this, only those fakes that caused the greatest public response were selected for analysis. In this article, the following types of fakes are distinguished: folklore, symmetric, interpretive, additional, and conspiracy. Folklore fakes in various variations reproduce the same motives and are associated with well-established ideas and stereotypes in the mass consciousness. Symmetrical fakes partially or completely transfer true facts from one territory (country, region) to another. They can also transfer information from one person (structure) to another (s). Interpretative fakes are associated with the incorrect interpretation of events, information disseminated, or decisions made by the authorities by individual individuals. Additional fakes for a short period of time continue the theme of previously thrown disinformation. Conspiracy fakes are associated with conspiracy theory, characterized by stuffing on a wide territory and a large audience This classification is not exhaustive and can be supplemented as new fakes appear and are studied. Also, within the framework of this article, recommendations are given on how to refute a particular fake, depending on its belonging to a particular type.


Connectivity ◽  
2021 ◽  
Vol 149 (1) ◽  
Author(s):  
А. V. Honchar ◽  
◽  
O. Ye. Stryzhak ◽  
L. N. Berkman ◽  
◽  
...  

The paper discusses an ontological approach to solving the problem of integrated use of Big Data through transdisciplinary semantic consolidation of information resources. The category of taxonomy is considered as a constructive for the formation of consolidated information, taking into account its semantics. The formation of a hyperset of taxonomies — taxonomic diversity — implements the consolidation of information resources, defined as a verbal-active function of interpreting a set of binary relations between all contexts reflecting the meanings of concepts that form the content of subject areas, whose information resources are involved in network interaction. The category of information consolidation, as a taxonomic diversity of information resources, is characterized by the existence of verbally active reflection and recursion. The concept of discourse is defined as the inter-contextual connectivity of network information resources, which is represented by verbal-active reflection, on the basis of which taxonomic diversity is realized. For consolidated network information, the format of narrative discourse is determined. The concept of an arbitrary taxonomy is defined as a term, which makes it possible to implement the process of forming taxonomies based on the use of sets of λ-terms. The topology of interaction of taxonomy concepts sets is represented as a set of marked Böhm trees. An example of the formation of the information resources consolidation in the study of historical and cultural heritage with the display of museum expositions in the format of 3D panoramas is given. An algorithm for the consolidation of 3D models of heritage conservation objects with network GIS services and network information resources is given.


2018 ◽  
Vol 8 (2) ◽  
pp. 20170039 ◽  
Author(s):  
Zhan Li ◽  
Michael Schaefer ◽  
Alan Strahler ◽  
Crystal Schaaf ◽  
David Jupp

The Dual-Wavelength Echidna Lidar (DWEL), a full waveform terrestrial laser scanner (TLS), has been used to scan a variety of forested and agricultural environments. From these scanning campaigns, we summarize the benefits and challenges given by DWEL's novel coaxial dual-wavelength scanning technology, particularly for the three-dimensional (3D) classification of vegetation elements. Simultaneous scanning at both 1064 nm and 1548 nm by DWEL instruments provides a new spectral dimension to TLS data that joins the 3D spatial dimension of lidar as an information source. Our point cloud classification algorithm explores the utilization of both spectral and spatial attributes of individual points from DWEL scans and highlights the strengths and weaknesses of each attribute domain. The spectral and spatial attributes for vegetation element classification each perform better in different parts of vegetation (canopy interior, fine branches, coarse trunks, etc.) and under different vegetation conditions (dead or live, leaf-on or leaf-off, water content, etc.). These environmental characteristics of vegetation, convolved with the lidar instrument specifications and lidar data quality, result in the actual capabilities of spectral and spatial attributes to classify vegetation elements in 3D space. The spectral and spatial information domains thus complement each other in the classification process. The joint use of both not only enhances the classification accuracy but also reduces its variance across the multiple vegetation types we have examined, highlighting the value of the DWEL as a new source of 3D spectral information. Wider deployment of the DWEL instruments is in practice currently held back by challenges in instrument development and the demands of data processing required by coaxial dual- or multi-wavelength scanning. But the simultaneous 3D acquisition of both spectral and spatial features, offered by new multispectral scanning instruments such as the DWEL, opens doors to study biophysical and biochemical properties of forested and agricultural ecosystems at more detailed scales.


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