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Symmetry
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Symmetry in Cooperative Applications
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Symmetry in Cooperative Applications

A special issue of Symmetry (ISSN 2073-8994).

Deadline for manuscript submissions: closed (31 March 2016) | Viewed by 25104

Special Issue Editor

Prof. Dr. Yuhua Luo

E-Mail Website
Guest Editor
Department of Computer Science, University of Balearic Islands, Palma, Spain
Interests: computer supported cooperative work; computer vision; computer graphics; multimedia
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

During recent years, many important technological components have emerged and we are facing a completely new computing landscape. These include the cloud computing technology, the ubiquitous broadband Internet, big data and the popularity of mobile devices, etc. This new computing landscape opens the possibility of wide access to social media, e­business, e­learning, e-finance, crowd-sourcing, and many other online services. The scale and popularity have reached to level that human society has never experienced. Therefore, cooperative design, visualization, engineering, and all the cooperative applications have to answer completely new challenges. To analyze the nature of these issues, the symmetry characteristics in cooperative applications becomes one of the active areas of research.

This Special Issue aims to gather original, state-of-the-art research, and development contributions concerning symmetry of all types of cooperative working applications, particularly in cooperative design, cooperative visualization, and engineering.

Prof. Dr. Yuhua Luo
Guest Editor

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 submissions that pass pre-check are 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. Symmetry is an international peer-reviewed open access monthly 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 2400 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.

Keywords

  • Symmetry in cooperative working team modeling
  • Symmetry in cooperative design
  • Symmetry in cooperative visualization
  • Symmetry in cooperative engineering
  • Symmetry in all other cooperative team work applications

Published Papers (5 papers)

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Research

3673 KiB  
Article
SCPL: A Social Cooperative Programming Language to Automate Cooperative Processes in (A)Symmetric Social Networks
by José M. Conejero, Fernando Sánchez-Figueroa, Roberto Rodríguez-Echeverría and Juan Carlos Preciado
Symmetry 2016, 8(8), 71; https://doi.org/10.3390/sym8080071 - 28 Jul 2016
Cited by 1 | Viewed by 5290
Abstract
In recent years, the increasing use of social networks and applications—especially those used in an asymmetric way—has significantly changed the business processes in many organizations. These applications provide new cooperative ways of performing these processes by taking advantage of the interactions among users. [...] Read more.
In recent years, the increasing use of social networks and applications—especially those used in an asymmetric way—has significantly changed the business processes in many organizations. These applications provide new cooperative ways of performing these processes by taking advantage of the interactions among users. However, the high number of these applications has led to a lack of automation in their interactions and, thus, the need of manually connecting to these networks to perform recurrent and repetitive tasks. In order to automate these operations, this paper presents SCPL, a Domain Specific Language (DSL) that enables connectivity among different social networks and applications and provides a way to automate their management. The main contribution of this paper is showing how SCPL can be used to specify collaborative tasks using symmetric and asymmetric social networks in a transparent way. Full article
(This article belongs to the Special Issue Symmetry in Cooperative Applications)
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2053 KiB  
Article
Stochastic Cooperative Decision Approach for Studying the Symmetric Behavior of People in Wireless Indoor Location Systems
by Jesús Tomás, Miguel Garcia-Pineda, Alejandro Cánovas and Jaime Lloret
Symmetry 2016, 8(7), 61; https://doi.org/10.3390/sym8070061 - 13 Jul 2016
Viewed by 4186
Abstract
Nowadays, several wireless location systems have been developed in the research world. The goal of these systems has always been to find the greatest accuracy as possible. However, if every node takes data from the environment, we can gather a lot of information, [...] Read more.
Nowadays, several wireless location systems have been developed in the research world. The goal of these systems has always been to find the greatest accuracy as possible. However, if every node takes data from the environment, we can gather a lot of information, which may help us understand what is happening around our network in a cooperative way. In order to develop this cooperative location and tracking system, we have implemented a sensor network to capture data from user devices. From this captured data we have observed a symmetry behavior in people’s movements at a specific site. By using these data and the symmetry feature, we have developed a statistical cooperative approach to predict the new user’s location. The system has been tested in a real environment, evaluating the next location predicted by the system and comparing it with the next location in the real track, thus getting satisfactory results. Better results have been obtained when the stochastic cooperative approach uses the transition matrix with symmetry. Full article
(This article belongs to the Special Issue Symmetry in Cooperative Applications)
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3491 KiB  
Article
Symmetry-Based Conflict Detection and Resolution Method towards Web3D-based Collaborative Design
by Mingjiu Yu, Hongming Cai, Xiaoming Ma and Lihong Jiang
Symmetry 2016, 8(5), 35; https://doi.org/10.3390/sym8050035 - 11 May 2016
Cited by 3 | Viewed by 4346
Abstract
In the process of web3D-based collaborative design, it is necessary to completely prevent operation conflicts among designers due to distributed environments and complex 3D models. Therefore, conflict detection and conflict resolution are of great significance to attain an acceptable result. In order to [...] Read more.
In the process of web3D-based collaborative design, it is necessary to completely prevent operation conflicts among designers due to distributed environments and complex 3D models. Therefore, conflict detection and conflict resolution are of great significance to attain an acceptable result. In order to facilitate effective and smooth design work, a symmetry-based collaborative design framework is proposed using the X3D operation models. Combined considerations cover both models and operations, while different operation strategies are utilized for conflict resolution in web-based collaborative design. The strategy can achieve automatic operation, real-time conflict detection based on dynamically adjustable time, and conflict auto-detection and resolution with designers’ customization. A proof-of-concept system is developed for verification. The proposed resolution shows good performance, scalability and interactivity in a case study. Full article
(This article belongs to the Special Issue Symmetry in Cooperative Applications)
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380 KiB  
Article
Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks
by Pilar Fuster-Parra, Alex García-Mas, Jaume Cantallops, F. Javier Ponseti and Yuhua Luo
Symmetry 2016, 8(5), 34; https://doi.org/10.3390/sym8050034 - 09 May 2016
Cited by 12 | Viewed by 5656
Abstract
The aim of this study is to rank some features that characterize the psychological dynamics of cooperative team work in order to determine priorities for interventions and formation: leading positive feedback, cooperative manager and collaborative manager features. From a dataset of 20 [...] Read more.
The aim of this study is to rank some features that characterize the psychological dynamics of cooperative team work in order to determine priorities for interventions and formation: leading positive feedback, cooperative manager and collaborative manager features. From a dataset of 20 cooperative sport teams (403 soccer players), the characteristics of the prototypical sports teams are studied using an average Bayesian network (BN) and two special types of BNs, the Bayesian classifiers: naive Bayes (NB) and tree augmented naive Bayes (TAN). BNs are selected as they are able to produce probability estimates rather than predictions. BN results show that the antecessors (the “top” features ranked) are the team members’ expectations and their attraction to the social aspects of the task. The main node is formed by the cooperative behaviors, the consequences ranked at the BN bottom (ratified by the TAN trees and the instantiations made), the roles assigned to the members and their survival inside the same team. These results should help managers to determine contents and priorities when they have to face team-building actions. Full article
(This article belongs to the Special Issue Symmetry in Cooperative Applications)
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3772 KiB  
Article
Resource Symmetric Dispatch Model for Internet of Things on Advanced Logistics
by Guofeng Qin, Lisheng Wang and Qiyan Li
Symmetry 2016, 8(4), 20; https://doi.org/10.3390/sym8040020 - 05 Apr 2016
Cited by 5 | Viewed by 5066
Abstract
Business applications in advanced logistics service are highly concurrent. In this paper, we propose a resource symmetric dispatch model for the concurrent and cooperative tasks of the Internet of Things. In the model, the terminals receive and deliver commands, data, and information with [...] Read more.
Business applications in advanced logistics service are highly concurrent. In this paper, we propose a resource symmetric dispatch model for the concurrent and cooperative tasks of the Internet of Things. In the model, the terminals receive and deliver commands, data, and information with mobile networks, wireless networks, and sensor networks. The data and information are classified and processed by the clustering servers in the cloud service platform. The cluster service, resource dispatch, and load balance are cooperative for management and monitoring of every application case during the logistics service lifecycle. In order to support the high performance of cloud service, resource symmetric dispatch algorithm among clustering servers and load balancing method among multi-cores in one server, including NIO (Non-blocking Input/Output) and RMI (Remote Method Invocation) are utilized to dispatch the cooperation of computation and service resources. Full article
(This article belongs to the Special Issue Symmetry in Cooperative Applications)
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