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Future Internet
Special Issues
Future Intelligent Systems and Networks
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Future Intelligent Systems and Networks

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (31 July 2016) | Viewed by 76395

Special Issue Editor

Prof. Dr. Carmen De-Pablos-Heredero

E-Mail Website
Guest Editor
Department of Management, Universidad Rey Juan Carlos, Paseo de los Artilleros, 28032 Madrid, Spain
Interests: data management; open data; open innovation; health sector; agricultural systems; management models; relational coordination
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The progressive application of Internet Systems and Networks can be analyzed in terms of co-creation of value and socioeconomic and collaborative impact. These technologies have been interiorized at firms and by citizens, by redesigning processes, and ways of interacting. This way they constitute key sources for innovation and have become elements that may increase the quality of life and promote the social and economic sustainability in our society.

Due to the increasing interests of firms in applying technological possibilities to promote more innovative business models, this Special Issue intends to collect the current developments and future directions of Future Intelligent Systems and Networks. Hence, we encourage authors to submit original papers related to these fields.

Potential topics include, but are not limited to:

  • Databases and big data reuse of information
  • Innovative organizational models
  • The Internet of things
  • Open innovation practices
  • Social implications of collaborative networks
  • Mobile computing innovative models
  • Smart cities
  • Co-creation of value with Intelligent Systems and Networks
  • Environmental and social sustainable applications
Prof. Dr. Carmen de Pablos Heredero
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. Future Internet 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 1600 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

  • Internet of things
  • Reuse of data
  • Smart cities
  • Open collaborative models
  • Value co-creation
  • Open innovation
  • Social interaction
  • Environmental sustainability
  • Intelligent systems and networks

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (7 papers)

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Editorial

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151 KiB  
Editorial
Future Intelligent Systems and Networks
by Carmen De-Pablos-Heredero
Future Internet 2017, 9(3), 49; https://doi.org/10.3390/fi9030049 - 2 Sep 2017
Cited by 1 | Viewed by 4540
Abstract
The purpose of this Special Issue is to collect current developments and future directions of Future Intelligent Systems and Networks.[...] Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)

Research

Jump to: Editorial

9260 KiB  
Article
A Novel Multi-Focus Image Fusion Method Based on Stochastic Coordinate Coding and Local Density Peaks Clustering
by Zhiqin Zhu, Guanqiu Qi, Yi Chai and Yinong Chen
Future Internet 2016, 8(4), 53; https://doi.org/10.3390/fi8040053 - 11 Nov 2016
Cited by 20 | Viewed by 7512
Abstract
The multi-focus image fusion method is used in image processing to generate all-focus images that have large depth of field (DOF) based on original multi-focus images. Different approaches have been used in the spatial and transform domain to fuse multi-focus images. As one [...] Read more.
The multi-focus image fusion method is used in image processing to generate all-focus images that have large depth of field (DOF) based on original multi-focus images. Different approaches have been used in the spatial and transform domain to fuse multi-focus images. As one of the most popular image processing methods, dictionary-learning-based spare representation achieves great performance in multi-focus image fusion. Most of the existing dictionary-learning-based multi-focus image fusion methods directly use the whole source images for dictionary learning. However, it incurs a high error rate and high computation cost in dictionary learning process by using the whole source images. This paper proposes a novel stochastic coordinate coding-based image fusion framework integrated with local density peaks. The proposed multi-focus image fusion method consists of three steps. First, source images are split into small image patches, then the split image patches are classified into a few groups by local density peaks clustering. Next, the grouped image patches are used for sub-dictionary learning by stochastic coordinate coding. The trained sub-dictionaries are combined into a dictionary for sparse representation. Finally, the simultaneous orthogonal matching pursuit (SOMP) algorithm is used to carry out sparse representation. After the three steps, the obtained sparse coefficients are fused following the max L1-norm rule. The fused coefficients are inversely transformed to an image by using the learned dictionary. The results and analyses of comparison experiments demonstrate that fused images of the proposed method have higher qualities than existing state-of-the-art methods. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)
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1327 KiB  
Article
Socialism and the Blockchain
by Steve Huckle and Martin White
Future Internet 2016, 8(4), 49; https://doi.org/10.3390/fi8040049 - 18 Oct 2016
Cited by 73 | Viewed by 36171
Abstract
Bitcoin (BTC) is often cited as Libertarian. However, the technology underpinning Bitcoin, blockchain, has properties that make it ideally suited to Socialist paradigms. Current literature supports the Libertarian viewpoint by focusing on the ability of Bitcoin to bypass central authority and provide anonymity; [...] Read more.
Bitcoin (BTC) is often cited as Libertarian. However, the technology underpinning Bitcoin, blockchain, has properties that make it ideally suited to Socialist paradigms. Current literature supports the Libertarian viewpoint by focusing on the ability of Bitcoin to bypass central authority and provide anonymity; rarely is there an examination of blockchain technology’s capacity for decentralised transparency and auditability in support of a Socialist model. This paper conducts a review of the blockchain, Libertarianism, and Socialist philosophies. It then explores Socialist models of public ownership and looks at the unique cooperative properties of blockchain that make the technology ideal for supporting Socialist societies. In summary, this paper argues that blockchain technologies are not just a Libertarian tool, they also enhance Socialist forms of governance. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)
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2750 KiB  
Article
A Reliability Calculation Method for Web Service Composition Using Fuzzy Reasoning Colored Petri Nets and Its Application on Supercomputing Cloud Platform
by Ziyun Deng, Lei Chen, Tingqing He and Tao Meng
Future Internet 2016, 8(4), 47; https://doi.org/10.3390/fi8040047 - 27 Sep 2016
Cited by 8 | Viewed by 5773
Abstract
In order to develop a Supercomputing Cloud Platform (SCP) prototype system using Service-Oriented Architecture (SOA) and Petri nets, we researched some technologies for Web service composition. Specifically, in this paper, we propose a reliability calculation method for Web service compositions, which uses Fuzzy [...] Read more.
In order to develop a Supercomputing Cloud Platform (SCP) prototype system using Service-Oriented Architecture (SOA) and Petri nets, we researched some technologies for Web service composition. Specifically, in this paper, we propose a reliability calculation method for Web service compositions, which uses Fuzzy Reasoning Colored Petri Net (FRCPN) to verify the Web service compositions. We put forward a definition of semantic threshold similarity for Web services and a formal definition of FRCPN. We analyzed five kinds of production rules in FRCPN, and applied our method to the SCP prototype. We obtained the reliability value of the end Web service as an indicator of the overall reliability of the FRCPN. The method can test the activity of FRCPN. Experimental results show that the reliability of the Web service composition has a correlation with the number of Web services and the range of reliability transition values. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)
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2024 KiB  
Article
A Novel QoS Provisioning Algorithm for Optimal Multicast Routing in WMNs
by Weijun Yang and Yuanfeng Chen
Future Internet 2016, 8(3), 38; https://doi.org/10.3390/fi8030038 - 1 Aug 2016
Cited by 2 | Viewed by 5668
Abstract
The problem of optimal multicast routing in Wireless Mess Networks (WMNs) with Quality-of-Service (QoS) provisioning, which is Non-Deterministic Polynomial (NP)-complete, is studied in this paper. The existing algorithms are not very efficient or effective. In order to find an approximation optimal solution for [...] Read more.
The problem of optimal multicast routing in Wireless Mess Networks (WMNs) with Quality-of-Service (QoS) provisioning, which is Non-Deterministic Polynomial (NP)-complete, is studied in this paper. The existing algorithms are not very efficient or effective. In order to find an approximation optimal solution for WMNs in feasible time from source to the set of destination nodes, combining the previous deterministic algorithm with the well-known Minimum Path Cost Heuristic (MPH) algorithm, a novel multicast heuristic approximation (NMHA) algorithm with QoS provisioning is proposed in this paper to deal with it. The theoretical validations for the proposed algorithm are presented to show its performance and efficiency. After that, the random static networks with different destination nodes are evaluated. Simulations in these networks show that the proposed algorithm can achieve the approximate optimal solution with the approximation factor of 2(1 + ε)(1 − 1/q) and the time complexity of O(qmn2τK−1). Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)
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2680 KiB  
Article
Turning Video Resource Management into Cloud Computing
by Weili Kou, Hui Li and Kailai Zhou
Future Internet 2016, 8(3), 35; https://doi.org/10.3390/fi8030035 - 21 Jul 2016
Cited by 2 | Viewed by 8014
Abstract
Big data makes cloud computing more and more popular in various fields. Video resources are very useful and important to education, security monitoring, and so on. However, issues of their huge volumes, complex data types, inefficient processing performance, weak security, and long times [...] Read more.
Big data makes cloud computing more and more popular in various fields. Video resources are very useful and important to education, security monitoring, and so on. However, issues of their huge volumes, complex data types, inefficient processing performance, weak security, and long times for loading pose challenges in video resource management. The Hadoop Distributed File System (HDFS) is an open-source framework, which can provide cloud-based platforms and presents an opportunity for solving these problems. This paper presents video resource management architecture based on HDFS to provide a uniform framework and a five-layer model for standardizing the current various algorithms and applications. The architecture, basic model, and key algorithms are designed for turning video resources into a cloud computing environment. The design was tested by establishing a simulation system prototype. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)
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986 KiB  
Article
A Methodological Approach to Evaluate Livestock Innovations on Small-Scale Farms in Developing Countries
by Antón García-Martínez, José Rivas-Rangel, Jaime Rangel-Quintos, José Antonio Espinosa, Cecilio Barba and Carmen De-Pablos-Heredero
Future Internet 2016, 8(2), 25; https://doi.org/10.3390/fi8020025 - 3 Jun 2016
Cited by 25 | Viewed by 7941
Abstract
The aim of the study was deepening the knowledge of livestock innovations knowledge on small-scale farms in developing countries. First, we developed a methodology focused on identifying potential appropriate livestock innovations for smallholders and grouped them in innovation areas, defined as a set [...] Read more.
The aim of the study was deepening the knowledge of livestock innovations knowledge on small-scale farms in developing countries. First, we developed a methodology focused on identifying potential appropriate livestock innovations for smallholders and grouped them in innovation areas, defined as a set of well-organized practices with a business purpose. Finally, a process management program (PMP) was evaluated according to the livestock innovation level and viability of the small-scale farms. Logistic regression was used to evaluate the impact of PMP on the economic viability of the farm. Information from 1650 small-scale livestock farms in Mexico was collected and the innovations were grouped in five innovation areas: A1. Management, A2. Feeding, A3. Genetic, A4. Reproduction and A5. Animal Health. The resulting innovation level in the system was low at 45.7% and heterogeneous among areas. This study shows the usefulness of the methodology described and confirms that implementing a PMP allows improving the viability an additional 21%, due to a better integration of processes, resulting in more efficient management. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks)
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