Special Issue "REMS 2018: Multidisciplinary Symposium on Computer Science and ICT"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 April 2019).

Special Issue Editors

Prof. Dr. Marco Schaerf
Website
Guest Editor
Dipartimento di Ingegneria, Informatica, Universita degli Studi di Roma La Sapienza, Rome, Italy
Interests: logics for knowledge representation; nonmonotonic reasoning; logic programming; theory of databases; computational complexity; geometric reasoning; computer graphics
Prof. Dr. Massimo Mecella
Website
Guest Editor
Dipartimento di Ingegneria informatica, automatica, e gestionale “Antonio Ruberti", Sapienza Università di Roma - Via Ariosto, 25, 00185 Roma RM, Italy
Interests: service oriented computing; process management; CPSs (cyber-physical systems) and IoT (Internet-of-Things); user-centered design for complex systems; CIS—cooperative information systems and WWW-based information systems; software architectures, distributed technologies and middleware
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Selected papers that presented at the conference REMS 2018: Russian Federation & Europe Multidisciplinary Symposium on Computer Science and ICT (http://rems.ncfu.ru/en/main/), are invited to submit their extended versions to this Special Issue of the journal Computers. All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in open access format in Computers and collected together on the Special Issue website.

The conference papers should be cited and noted on the first page of the paper; authors are asked to disclose that its conference paper in their cover letter and include a statement on what has been changed compared to the original conference paper. Each submission to this issue should contain at least 50% of new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases.

Please prepare and format your paper according to the Instructions for Authors. Use the LaTeX or Microsoft Word template file of the journal (both are available from the Instructions for Authors page). Manuscripts should be submitted online via our susy.mdpi.com editorial system.

Prof. Dr. Marco Schaerf
Prof. Dr. Massimo Mecella
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

Open AccessArticle
IVAN: An Interactive Herlofson’s Nomogram Visualizer for Local Weather Forecast
Computers 2019, 8(3), 53; https://doi.org/10.3390/computers8030053 - 01 Jul 2019
Abstract
In 1947, N. Herlofson proposed a modification to the 1884 Heinrich Hertz’s Emagram with the goal of getting more precise hand-made weather forecasts providing larger angles between isotherms and adiabats. Since then, the Herlofson’s nomogram has been used every day to visualize the [...] Read more.
In 1947, N. Herlofson proposed a modification to the 1884 Heinrich Hertz’s Emagram with the goal of getting more precise hand-made weather forecasts providing larger angles between isotherms and adiabats. Since then, the Herlofson’s nomogram has been used every day to visualize the results of about 800 radiosonde balloons that, twice a day, are globally released, sounding the atmosphere and reading pressure, altitude, temperature, dew point, and wind velocity. Relevant weather forecasts use such pieces of information to predict fog, cloud height, rain, thunderstorms, etc. However, despite its diffusion, non-technical people (e.g., private gliding pilots) do not use the Herlofson’s nomogram because they often consider it hard to interpret and confusing. This paper copes with this problem presenting a visualization based environment that presents the Herlofson’s nomogram in an easier to interpret way, allowing the selection of the right level of detail and at the same time inspection of the sounding row data and the plotted diagram. Our visual environment was compared with the classic way of representing the Herlofson’s nomogram in a formal user study, demonstrating the higher efficacy and better comprehensibility of the proposed solution. Full article
(This article belongs to the Special Issue REMS 2018: Multidisciplinary Symposium on Computer Science and ICT)
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Open AccessArticle
Expressing the Tacit Knowledge of a Digital Library System as Linked Data
Computers 2019, 8(2), 49; https://doi.org/10.3390/computers8020049 - 15 Jun 2019
Cited by 1
Abstract
Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as [...] Read more.
Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as an infrastructure that enhances the library and related information services. This paper presents an approach for encoding, as a Linked Vocabulary, the “tacit” knowledge of the information system that manages the data source. The objective is the improvement of the interpretation process of the linked data meaning of published datasets. We analyzed a digital library system, as a case study, for prototyping the “semantic data management” method, where data and its knowledge are natively managed, taking into account the linked data pillars. The ultimate objective of the semantic data management is to curate the correct consumers’ interpretation of data, and to facilitate the proper re-use. The prototype defines the ontological entities representing the knowledge, of the digital library system, that is not stored in the data source, nor in the existing ontologies related to the system’s semantics. Thus we present the local ontology and its matching with existing ontologies, Preservation Metadata Implementation Strategies (PREMIS) and Metadata Objects Description Schema (MODS), and we discuss linked data triples prototyped from the legacy relational database, by using the local ontology. We show how the semantic data management, can deal with the inconsistency of system data, and we conclude that a specific change in the system developer mindset, it is necessary for extracting and “codifying” the tacit knowledge, which is necessary to improve the data interpretation process. Full article
(This article belongs to the Special Issue REMS 2018: Multidisciplinary Symposium on Computer Science and ICT)
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Open AccessArticle
Distributed Management Systems for Infocommunication Networks: A Model Based on TM Forum Frameworx
Computers 2019, 8(2), 45; https://doi.org/10.3390/computers8020045 - 04 Jun 2019
Abstract
The existing management systems for networks and communication services do not fully meet the demands of users in next-generation infocommunication services that are dictated by the business processes of companies. Open digital architecture (ODA) is able to dramatically simplify and automate main business [...] Read more.
The existing management systems for networks and communication services do not fully meet the demands of users in next-generation infocommunication services that are dictated by the business processes of companies. Open digital architecture (ODA) is able to dramatically simplify and automate main business processes using the logic of distributed computing and management, which allows implementing services on a set of network nodes. The performance of a distributed operational management system depends on the quality of solving several tasks as follows: the distribution of program components among processor modules; the prioritization of business processes with parallel execution; the elimination of dead states and interlocks during execution; and the reduction of system cost to integrate separate components of business processes. The program components can be distributed among processor modules by an iterative algorithm that calculates the frequency of resource conflicts; this algorithm yields a rational distribution in a finite number of iterations. The interlocks of parallel business processes can be eliminated using the classic file sharing example with two processes and also the methodology of colored Petri nets. The system cost of integration processes in a distributed management system is reduced through partitioning the network into segments with several controllers that interact with each other and manage the network in a coordinated way. This paper develops a model of a distributed operational management system for next-generation infocommunication networks that assesses the efficiency of operational activities for a communication company. Full article
(This article belongs to the Special Issue REMS 2018: Multidisciplinary Symposium on Computer Science and ICT)
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