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RonPub -- Research Online Publishing

RonPub (Research online Publishing) is an academic publisher of online, open access, peer-reviewed journals.  RonPub aims to provide a platform for researchers, developers, educators, and technical managers to share and exchange their research results worldwide.

RonPub Is Open Access:

RonPub publishes all of its journals under the open access model, defined under BudapestBerlin, and Bethesda open access declarations:

  • All articles published by RonPub is fully open access and online available to readers free of charge.  
  • All open access articles are distributed under  Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction free of charge in any medium, provided that the original work is properly cited. 
  • Authors retain all copyright to their work.
  • Authors may also publish the publisher's version of their paper on any repository or website. 

RonPub Is Cost-Effective:

To be able to provide open access journals, RonPub defray publishing cost by charging a one-time publication fee for each accepted article. One of RonPub objectives is providing a fast and high-quality but lower-cost publishing service. In order to ensure that the fee is never a barrier to publication, RonPub offers a fee waiver for authors who do not have funds to cover publication fees. We also offer a partial fee waiver for editors and reviewers of RonPub as as reward for their work. See the respective Journal webpage for the concrete publication fee.

RonPub Publication Criteria

What we are most concerned about is the quality, not quantity, of publications. We only publish high-quality scholarly papers. Publication Criteria describes the criteria that should be met for a contribution to be acceptable for publication in RonPub journals.

RonPub Publication Ethics Statement:

In order to ensure the publishing quality and the reputation of the publisher, it is important that all parties involved in the act of publishing adhere to the standards of the publishing ethical behaviour. To verify the originality of submissions, we use Plagiarism Detection Tools, like Anti-Plagiarism, PaperRater, Viper, to check the content of manuscripts submitted to our journals against existing publications.

RonPub follows the Code of Conduct of the Committee on Publication Ethics (COPE), and deals with the cases of misconduct according to the COPE Flowcharts

Long-Term Preservation in the German National Library

Our publications are archived and permanently-preserved in the German National Library. The publications, which are archived in the German National Library, are not only long-term preserved but also accessible in the future, because the German National Library ensures that digital data saved in the old formats can be viewed and used on current computer systems in the same way they were on the original systems which are long obsolete.

Where is RonPub?

RonPub is a registered corporation in Lübeck, Germany. Lübeck is a beautiful coastal city, owing wonderful sea resorts and sandy beaches as well as good restaurants. It is located in northern Germany and is 60 kilometer away from Hamburg.

OJIOT Cover
Open Journal of Internet of Things (OJIOT)
OJIOT, an open access and peer-reviewed online journal, publishes original and creative research results on the internet of things. OJIOT distributes its articles under the open access model. All articles of OJIOT are fully open access and online available to readers free of charge. There is no restriction on the length of the papers. Accepted manuscripts are published online immediately.
Publisher: RonPub UG (haftungsbeschränkt), Lübeck, Germany
Contact: OJIOT Editorial Office
ISSN: 2364-7108
Call for Papers: txtUTF-8 txtASCII pdf
OJIOT Cover
Open Journal of Internet of Things (OJIOT)
OJIOT, an open access and peer-reviewed online journal, publishes original and creative research results on the internet of things. OJIOT distributes its articles under the open access model. All articles of OJIOT are fully open access and online available to readers free of charge. There is no restriction on the length of the papers. Accepted manuscripts are published online immediately.
Publisher: RonPub UG (haftungsbeschränkt), Lübeck, Germany
Contact: OJIOT Editorial Office
ISSN: 2364-7108
Call for Papers: txtUTF-8 txtASCII pdf

Aims & Scope

The current internet with its applications like web browsing, emails, social networks and online games is human oriented. It is predicted that real objects will have a much bigger impact in the future internet. Any real object will be accessible and manageable via the internet, and real objects will automatically work in cooperation. This new vision is called as the internet of things (IoT). Realizing this vision offers a new dimension of real world services to the user.

OJIOT publishes regular research papers, short communications, reviews and visionary papers in all aspects of the internet of things. There is no restriction on the length of the papers. 

Short communications reports novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.

Regular research papers are full original findings with adequate experimental research. They make substantial theoretical and empirical contributions to the research field.  Research papers should be written in as concise a style as possible.

Research reviews are insightful and accessible overview of a certain field of research. They conceptualize research issues, synthesize existing findings and advance the understanding of the field. They may also suggest new research issues and directions.

Visionary papers identify new research issues and future research directions, and describe new research visions 

Topics relevant to this journal include, but are NOT limited to:

  • System architectures for IoT, e.g. 
    • things-centric, 
    • data-centric, 
    • event-centric, and
    • service-centric
  • IoT applications, including e.g.
    • smart homes/offices/cities, 
    • waste management, 
    • continuous care, 
    • emergency response, and 
    • intelligent shopping
  • Nano Technology, including e.g.
    • Nano Networks
    • Nano communication
    • Nano applications
    • Nano computing
    • Internet of Nano Tings
  • IoT programming toolkits and frameworks
  • IoT prototypes and evaluation test-beds
  • Privacy and security
  • IoT management and interoperability
  • Management of IoT streams
  • Enabling technologies and standards for the IoT
  • Spatial and temporal reasoning for IoT
  • Sustainability of IoT platforms, e.g. business models for deployment and maintenance
  • Societal challenges and IoT, e.g. urban planning and decision making tools
  • Ownership of data in IoT scenarios

Author Guidelines

Publication Criteria

Publication Criteria provides important information for authors to prepare their manuscripts with a high possibility of being accepted.

Manuscript Preparation

Please prepare your manuscripts using the manuscript template of the journal. It is available for download as word doc docx and latex version zip. The template describes the format and structure of manuscripts and other necessary information for preparing manuscripts. Manuscripts should be written in English. There is no restriction on the length of manuscripts.

Submission

Authors submit their manuscripts following the information on the submit pageAuthors first submit their manuscripts in PDF format. Once a manuscript is accepted, the author then submits the revised manuscript as a PDF file and a word file or latex folder (with all the material necessary to generate the PDF file). The work described in the submitted manuscript must be previously unpublished; it is not under consideration for publication anywhere else. 

Authors are welcome to suggest qualified reviewers for their papers, but this is not mandatory. If the author wants to do so, please provide the name, affiliations and e-mail addresses for all suggested reviewers.

Manuscript Status

After submission of manuscripts, authors will receive an email to confirm receipt of manuscripts. Subsequent enquiries concerning paper progress should be sent to the email address of the journal.

Review Procedure

OJIOT is committed to enforcing a rigorous peer-review process. All manuscripts submitted for publication in OJIOT are strictly and thoroughly peer-reviewed. When a manuscript is submitted, the editor-in-chief assigns it to an appropriate editor who will be in charge of the review process of the manuscript. The editor first suggests potential reviewers and then organizes the peer-reviewing herself/himself or entrusts it to the editor office. For each manuscript, typically three review reports will be collected. The editor and the editor-in-chief evaluate the manuscript itself and the review reports and make an accept/revision/reject decision. Authors will be informed with the decision and reviewing results within 6-8 weeks on average after the manuscript submission. In the case of revision, authors are required to perform an adequate revision to address the concerns from evaluation reports. A second round of peer-review will be performed if necessary.

Accepted manuscripts are published online immediately.

Copyrights

Authors publishing with RonPub open journals retain the copyright to their work. 

All articles published by RonPub is fully open access and online available to readers free of charge.  RonPub publishes all open access articles under the Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction freely, provided that the original work is properly cited.

Digital Archiving Policy

Our publications have been archived and permanently-preserved in the German National Library. The publications, which are archived in the German National Library, are not only long-term preserved but also accessible in the future, because the German National Library ensures that digital data saved in the old formats can be viewed and used on current computer systems in the same way they were on the original systems which are long obsolete. Further measures will be taken if necessary. Furthermore, we also encourage our authors to self-archive their articles published on the website of RonPub.

Publication Ethics Statement

In order to ensure the publishing quality and the reputation of the journal, it is important that all parties involved in the act of publishing adhere to the standards of the publishing ethical behaviour. To verify the originality of submissions, we use Plagiarism Detection Tools, like Anti-Plagiarism, PaperRater, Viper, to check the content of manuscripts submitted to our journals against existing publications.

Our journal follows the Code of Conduct of the Committee on Publication Ethics (COPE), and deals with the cases of misconduct according to the COPE Flowcharts

Very Large Internet of Things (VLIoT-2020)

Very Large Internet of Things (VLIoT 2020) is an international workshop in conjunction with the 2020 VLDB Conference in Tokyo, Japan. The proceedings of VLIoT@VLDB 2020 are published in the Open Journal of Internet of Things (OJIOT) as special issue.

Aims

An increasing number of real-world objects are becoming accessible and manageable through the Internet. According to Statista, the number of these devices is approximately 30 billion by 2020, forming a very large Internet of Things (VLIoT). This massive number of "smart" objects will cooperate with each other, have their own metadata, and may continuously produce new data (in form of events, sensor data, or actuator states). Data management will be a major challenge in the very large Internet of Things. Hence, efficient IoT infrastructure and technologies must be developed to handle masses of IoT data with high performance. This will include: new techniques to filter and store relevant data; efficient replication approaches for objects with constrained resources in order to increase availability and durability; new protocols for voting about decisions among objects; and smooth integration of heterogeneous objects.

The goal of this workshop is to bring together academic researchers and industry practitioners working in the field of IoT and to allow them to report and exchange their findings addressing these challenges. This workshop also intends to discuss other closely-related technologies such as Nanotechnology, Fog-, Edge-, and Dew-Computing for IoT. The ideas of Fog, Edge and Dew Computing may indeed solve or attenuate the problems of a very large Internet of Things (w.r.t. performance, energy-efficiency, as well as security and privacy aspects).

Types of Papers

We are interested in contributions describing original ideas, promising new concepts, and practical experience. In particular, we solicit papers of different types:

  • Research Papers proposing new approaches, theories or techniques related to Internet of Things, including new data structures, algorithms, whole systems, and frameworks. They should make substantial theoretical and empirical contributions to the research field.
  • Experiments and Analysis Papers focusing on the experimental evaluation of existing approaches including data structures and algorithms for Internet of Things and bring new insights through the analysis of these experiments. Results of experiments and analysis papers can be, for example, showing benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey.
  • Application Papers reporting practical experiences on Internet of Things applications. Application papers might describe specific application domains in the IoT such as smart homes/offices/cities, continuous health care, waste management, emergency response, intelligent response, and Industry 4.0.
  • Vision Papers identifying emerging or future research issues and directions, and describing new research visions in the IoT area that may have a great impact on our society.

Topics of Interest

We expect original, high-quality papers, including but NOT limited to the following topics:

  • Semantic IoT
  • Privacy-by-design and security-by-design in IoT
  • System architectures for IoT, including
    • things-centric
    • data-centric
    • event-centric
    • service-centric
  • IoT applications, including:
    • smart homes/offices/cities
    • waste management
    • health care
    • emergency response
    • intelligent shopping
  • Nano Technology, including:
    • Nano Networks
    • Nano communication
    • Nano applications
    • Nano computing
    • Internet of Nano Things
  • IoT programming toolkits and frameworks
  • IoT prototypes and evaluation test-beds
  • IoT data mining and analytics
  • IoT management and interoperability
  • Management of IoT streams
  • Enabling technologies and standards for the IoT
  • Spatial and temporal reasoning for IoT
  • Sustainability of IoT platforms, e.g. business models for deployment and maintenance
  • Societal challenges and IoT, e.g. urban planning and decision making tools
  • Ownership of data in IoT scenarios
  • Fog, Edge and Dew Computing for IoT
  • IoT benchmarks and performance measurement
  • Indexing and search in IoT environments
  • IoT transactions, concurrency control and recovery
  • Hardware accelerators and energy savers for IoT applications and core infrastructure
  • IoT discovery of devices, services and data

Guest Editors

  • Sven Groppe, University of Lübeck, Germany
  • Mu-Chun Su, National Central University, Taiwan

Important Dates

  • Submission Deadline: 25-03-2020
  • Author Notification: 31-05-2020
Articles (total number of downloads: 27316, total number of citations: 30)tex xml rdf rss

 Open Access 

Due to COVID-19 the World's Activities Stopped, but not Research: Workshop on Very Large Internet of Things (VLIoT 2020)

Sven Groppe, Mu-Chun Su

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 1-5, 2020, Downloads: 3076

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219331432369272 | GNL-LP: 1215016808 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The Very Large Internet of Things (VLIoT) workshop aims at discussing the solutions of problems arising especially for large-scale configurations. After continuously monitoring the global COVID-19 pandemic this year, the workshop changes the format the first time to an online event in order to overcome problems like travel restrictions. Besides missing face-to-face meetings the online format also has chances like an increased number of participants, less travel burdens and saving budget. Hence we received many high-quality submissions, from which we accepted 9 to be introduced in this editorial.

BibTex:

    @Article{OJIOT_2020v6i1n01e_VLIOT2020,
        title     = {Due to COVID-19 the World's Activities Stopped, but not Research: Workshop on Very Large Internet of Things (VLIoT 2020)},
        author    = {Sven Groppe and
                     Mu-Chun Su},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {1--5},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219331432369272},
        urn       = {urn:nbn:de:101:1-2020080219331432369272},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Very Large Internet of Things (VLIoT) workshop aims at discussing the solutions of problems arising especially for large-scale configurations. After continuously monitoring the global COVID-19 pandemic this year, the workshop changes the format the first time to an online event in order to overcome problems like travel restrictions. Besides missing face-to-face meetings the online format also has chances like an increased number of participants, less travel burdens and saving budget. Hence we received many high-quality submissions, from which we accepted 9 to be introduced in this editorial.}
    }

 Open Access 

Assuring Privacy-Preservation in Mining Medical Text Materials for COVID-19 Cases - A Natural Language Processing Perspective

Bo Ma, Jinsong Wu, Shuang Song, William Liu

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 6-13, 2020, Downloads: 2126, Citations: 4

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219332153513307 | GNL-LP: 1215016816 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Currently, there is a very large volume of Covid-19 related medical data that have been stored in cloud based systems and made available for studing the disease dynamics. without any privacy-preservation. In order to reduce possible privacy leakage and also accommodate massive medical reports with high efficiencies, we proposed a privacypreserving word embody-based text classification method for mining COVID-19 medical documents. It uses the recurrent neural network deep learning algorithm according to the identified internal hiding centralization pattern. In addition, a new model-fusion method is proposed for the continuous improvement of the system performance.The extensive numerical studies have demonstrated that the classifier of the proposed system has superior performance via integrating with the keywords extraction approach. Moreover, the advanced new model does not only accurately capture the keyword patterns but also effectively capture the analogical hierarchy structure of the pathology related datasets with lower computational complexity.

BibTex:

    @Article{OJIOT_2020v6i1n02_BoMa,
        title     = {Assuring Privacy-Preservation in Mining Medical Text Materials for COVID-19 Cases - A Natural Language Processing Perspective},
        author    = {Bo Ma and
                     Jinsong Wu and
                     Shuang Song and
                     William Liu},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {6--13},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219332153513307},
        urn       = {urn:nbn:de:101:1-2020080219332153513307},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Currently, there is a very large volume of Covid-19 related medical data that have been stored in cloud based systems and made available for studing the disease dynamics. without any privacy-preservation. In order to reduce possible privacy leakage and also accommodate massive medical reports with high efficiencies, we proposed a privacypreserving word embody-based text classification method for mining COVID-19 medical documents. It uses the recurrent neural network deep learning algorithm according to the identified internal hiding centralization pattern. In addition, a new model-fusion method is proposed for the continuous improvement of the system performance.The extensive numerical studies have demonstrated that the classifier of the proposed system has superior performance via integrating with the keywords extraction approach. Moreover, the advanced new model does not only accurately capture the keyword patterns but also effectively capture the analogical hierarchy structure of the pathology related datasets with lower computational complexity.}
    }

 Open Access 

MASCARA (ModulAr Semantic CAching fRAmework) towards FPGA Acceleration for IoT Security Monitoring

Van Long Nguyen Huu, Julien Lallet, Emmanuel Casseau, Laurent d'Orazio

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 14-23, 2020, Downloads: 2224, Citations: 1

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219332912798426 | GNL-LP: 1215016832 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: With the explosive growth of the Internet Of Things (IOTs), emergency security monitoring becomes essential to efficiently manage an enormous amount of information from heterogeneous systems. In concern of increasing the performance for the sequence of online queries on long-term historical data, query caching with semantic organization, called Semantic Query Caching or Semantic Caching (SC), can play a vital role. SC is implemented mostly in software perspective without providing a generic description of modules or cache services in the given context. Hardware acceleration with FPGA opens new research directions to achieve better performance for SC. Hence, our work aims to propose a flexible, adaptable, and tunable ModulAr Semantic CAching fRAmework (MASCARA) towards FPGA acceleration for fast and accurate massive logs processing applications.

BibTex:

    @Article{OJIOT_2020v6i1n03_Huu,
        title     = {MASCARA (ModulAr Semantic CAching fRAmework) towards FPGA Acceleration for IoT Security Monitoring},
        author    = {Van Long Nguyen Huu and
                     Julien Lallet and
                     Emmanuel Casseau and
                     Laurent d'Orazio},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {14--23},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219332912798426},
        urn       = {urn:nbn:de:101:1-2020080219332912798426},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {With the explosive growth of the Internet Of Things (IOTs), emergency security monitoring becomes essential to efficiently manage an enormous amount of information from heterogeneous systems. In concern of increasing the performance for the sequence of online queries on long-term historical data, query caching with semantic organization, called Semantic Query Caching or Semantic Caching (SC), can play a vital role. SC is implemented mostly in software perspective without providing a generic description of modules or cache services in the given context. Hardware acceleration with FPGA opens new research directions to achieve better performance for SC. Hence, our work aims to propose a flexible, adaptable, and tunable ModulAr Semantic CAching fRAmework (MASCARA) towards FPGA acceleration for fast and accurate massive logs processing applications.}
    }

 Open Access 

Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT

Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Ernö Kovacs

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 24-34, 2020, Downloads: 2839, Citations: 6

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219333632380804 | GNL-LP: 1215016840 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Machine learning (ML) applications in Internet of Things (IoT) scenarios face the issue that supervision signals, such as labeled data, are scarce and expensive to obtain. For example, it often requires a human to manually label events in a data stream by observing the same events in the real world. In addition, the performance of trained models usually depends on a specific context: (1) location, (2) time and (3) data quality. This context is not static in reality, making it hard to achieve robust and transferable machine learning for IoT systems in practice. In this paper, we address these challenges with an envisioned method that we name Knowledge Infusion. First, we present two past case studies in which we combined external knowledge with traditional data-driven machine learning in IoT scenarios to ease the supervision effort: (1) a weak-supervision approach for the IoT domain to auto-generate labels based on external knowledge (e.g., domain knowledge) encoded in simple labeling functions. Our evaluation for transport mode classification achieves a micro-F1 score of 80.2%, with only seven labeling functions, on par with a fully supervised model that relies on hand-labeled data. (2) We introduce guiding functions to Reinforcement Learning (RL) to guide the agents' decisions and experience. In initial experiments, our guided reinforcement learning achieves more than three times higher reward in the beginning of its training than an agent with no external knowledge. We use the lessons learned from these experiences to develop our vision of knowledge infusion. In knowledge infusion, we aim to automate the inclusion of knowledge from existing knowledge bases and domain experts to combine it with traditional data-driven machine learning techniques during setup/training phase, but also during the execution phase.

BibTex:

    @Article{OJIOT_2020v6i1n04_Fuerst,
        title     = {Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT},
        author    = {Jonathan F{\"u}rst and
                     Mauricio Fadel Argerich and
                     Bin Cheng and
                     Ern{\"o} Kovacs},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {24--34},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219333632380804},
        urn       = {urn:nbn:de:101:1-2020080219333632380804},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Machine learning (ML) applications in Internet of Things (IoT) scenarios face the issue that supervision signals, such as labeled data, are scarce and expensive to obtain. For example, it often requires a human to manually label events in a data stream by observing the same events in the real world. In addition, the performance of trained models usually depends on a specific context: (1) location, (2) time and (3) data quality. This context is not static in reality, making it hard to achieve robust and transferable machine learning for IoT systems in practice. In this paper, we address these challenges with an envisioned method that we name Knowledge Infusion. First, we present two past case studies in which we combined external knowledge with traditional data-driven machine learning in IoT scenarios to ease the supervision effort: (1) a weak-supervision approach for the IoT domain to auto-generate labels based on external knowledge (e.g., domain knowledge) encoded in simple labeling functions. Our evaluation for transport mode classification achieves a micro-F1 score of 80.2\%, with only seven labeling functions, on par with a fully supervised model that relies on hand-labeled data. (2) We introduce guiding functions to Reinforcement Learning (RL) to guide the agents' decisions and experience. In initial experiments, our guided reinforcement learning achieves more than three times higher reward in the beginning of its training than an agent with no external knowledge. We use the lessons learned from these experiences to develop our vision of knowledge infusion. In knowledge infusion, we aim to automate the inclusion of knowledge from existing knowledge bases and domain experts to combine it with traditional data-driven machine learning techniques during setup/training phase, but also during the execution phase.}
    }

 Open Access 

Information-Centric Semantic Web of Things

Michele Ruta, Floriano Scioscia

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 35-52, 2020, Downloads: 2621, Citations: 1

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219334321163627 | GNL-LP: 1215016867 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: In the Semantic Web of Things (SWoT) paradigm, a plethora of micro-devices permeates an environment. Storage and information processing are decentralized: each component conveys and even processes a (very) small amount of annotated metadata. In this perspective, the node-centric Internet networking model is inadequate. This paper presents a framework for resource discovery in semantic-enhanced pervasive environments leveraging an information-centric networking approach. Information gathered through different Internet of Things (IoT) technologies can be exploited by both ubiquitous and Web-based semantic-aware applications through a uniform set of operations. Experimental results and a case study support sustainability and effectiveness of the proposal.

BibTex:

    @Article{OJIOT_2020v6i1n05_Ruta,
        title     = {Information-Centric Semantic Web of Things},
        author    = {Michele Ruta and
                     Floriano Scioscia},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {35--52},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219334321163627},
        urn       = {urn:nbn:de:101:1-2020080219334321163627},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {In the Semantic Web of Things (SWoT) paradigm, a plethora of micro-devices permeates an environment. Storage and information processing are decentralized: each component conveys and even processes a (very) small amount of annotated metadata. In this perspective, the node-centric Internet networking model is inadequate. This paper presents a framework for resource discovery in semantic-enhanced pervasive environments leveraging an information-centric networking approach. Information gathered through different Internet of Things (IoT) technologies can be exploited by both ubiquitous and Web-based semantic-aware applications through a uniform set of operations. Experimental results and a case study support sustainability and effectiveness of the proposal.}
    }

 Open Access 

The Internet of Things as a Privacy-Aware Database Machine

Andreas Heuer, Hannes Grunert

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 53-65, 2020, Downloads: 1765, Citations: 1

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219335124583702 | GNL-LP: 1215016883 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Instead of using a computer cluster with homogeneous nodes and very fast high bandwidth connections, we want to present the vision to use the Internet of Things (IoT) as a database machine. This is among others a key factor for smart (assistive) systems in apartments (AAL, ambient assisted living), offices (AAW, ambient assisted working), Smart Cities as well as factories (IIoT, Industry 4.0). It is important to massively distribute the calculation of analysis results on sensor nodes and other low-resource appliances in the environment, not only for reasons of performance, but also for reasons of privacy and protection of corporate knowledge. Thus, functions crucial for assistive systems, such as situation, activity, and intention recognition, are to be automatically transformed not only in database queries, but also in local nodes of lower performance. From a database-specific perspective, analysis operations on large quantities of distributed sensor data, currently based on classical big-data techniques and executed on large, homogeneously equipped parallel computers have to be automatically transformed to billions of processors with energy and capacity restrictions. In this visionary paper, we will focus on the database-specific perspective and the fundamental research questions in the underlying database theory.

BibTex:

    @Article{OJIOT_2020v6i1n06_Heuer,
        title     = {The Internet of Things as a Privacy-Aware Database Machine},
        author    = {Andreas Heuer and
                     Hannes Grunert},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {53--65},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219335124583702},
        urn       = {urn:nbn:de:101:1-2020080219335124583702},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Instead of using a computer cluster with homogeneous nodes and very fast high bandwidth connections, we want to present the vision to use the Internet of Things (IoT) as a database machine. This is among others a key factor for smart (assistive) systems in apartments (AAL, ambient assisted living), offices (AAW, ambient assisted working), Smart Cities as well as factories (IIoT, Industry 4.0). It is important to massively distribute the calculation of analysis results on sensor nodes and other low-resource appliances in the environment, not only for reasons of performance, but also for reasons of privacy and protection of corporate knowledge. Thus, functions crucial for assistive systems, such as situation, activity, and intention recognition, are to be automatically transformed not only in database queries, but also in local nodes of lower performance. From a database-specific perspective, analysis operations on large quantities of distributed sensor data, currently based on classical big-data techniques and executed on large, homogeneously equipped parallel computers have to be automatically transformed to billions of processors with energy and capacity restrictions. In this visionary paper, we will focus on the database-specific perspective and the fundamental research questions in the underlying database theory.}
    }

 Open Access 

NebulaStream: Complex Analytics Beyond the Cloud

Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Mark

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 66-81, 2020, Downloads: 4093, Citations: 6

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219335991237696 | GNL-LP: 1215016891 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The arising Internet of Things (IoT) will require significant changes to current stream processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present challenges and opportunities for an IoT data management system to enable complex analytics beyond the cloud. As one of the most important upcoming IoT applications, we focus on the vision of a smart city. The goal of this paper is to bridge the gap between the requirements of upcoming IoT applications and the supported features of an IoT data management system. To this end, we outline how state-of-the-art SPEs have to change to exploit the new capabilities of the IoT and showcase how we tackle IoT challenges in our own system, NebulaStream. This paper lays the foundation for a new type of systems that leverages the IoT to enable large-scale applications over millions of IoT devices in highly dynamic and geo-distributed environments.

BibTex:

    @Article{OJIOT_2020v6i1n07_Zeuch,
        title     = {NebulaStream: Complex Analytics Beyond the Cloud},
        author    = {Steffen Zeuch and
                     Eleni Tzirita Zacharatou and
                     Shuhao Zhang and
                     Xenofon Chatziliadis and
                     Ankit Chaudhary and
                     Bonaventura Del Monte and
                     Dimitrios Giouroukis and
                     Philipp M. Grulich and
                     Ariane Ziehn and
                     Volker Mark},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {66--81},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219335991237696},
        urn       = {urn:nbn:de:101:1-2020080219335991237696},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The arising Internet of Things (IoT) will require significant changes to current stream processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present challenges and opportunities for an IoT data management system to enable complex analytics beyond the cloud. As one of the most important upcoming IoT applications, we focus on the vision of a smart city. The goal of this paper is to bridge the gap between the requirements of upcoming IoT applications and the supported features of an IoT data management system. To this end, we outline how state-of-the-art SPEs have to change to exploit the new capabilities of the IoT and showcase how we tackle IoT challenges in our own system, NebulaStream. This paper lays the foundation for a new type of systems that leverages the IoT to enable large-scale applications over millions of IoT devices in highly dynamic and geo-distributed environments.}
    }

 Open Access 

Can You Hear Me? A Metric for Link Asymmetry

Renan C. A. Alves, Cintia B. Margi

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 82-88, 2020, Downloads: 2513, Citations: 2

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219340603524937 | GNL-LP: 1215016905 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The Internet of Things is a networking paradigm aiming to provide computing pervasiveness to our everyday lives. A key component to the Internet of Things is low power networks that gather information from the environment. Low power networks are prone to asymmetric and unidirectional links. Measuring the level of asymmetry and understanding its sources are key steps to successfully deploying sensor networks and the Internet of Things. Our first contribution is a new metric to assess link asymmetry, one which takes into account the instantaneous delivery success probability. Next, we study the influence of four factors on link asymmetry in light of our asymmetry metric, namely, relative distance, output power, relative position, and hardware heterogeneity. With our unique method, we show that all four factors impact link asymmetry.

BibTex:

    @Article{OJIOT_2020v6i1n08_Alves,
        title     = {Can You Hear Me? A Metric for Link Asymmetry},
        author    = {Renan C. A. Alves and
                     Cintia B. Margi},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {82--88},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219340603524937},
        urn       = {urn:nbn:de:101:1-2020080219340603524937},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Internet of Things is a networking paradigm aiming to provide computing pervasiveness to our everyday lives. A key component to the Internet of Things is low power networks that gather information from the environment. Low power networks are prone to asymmetric and unidirectional links. Measuring the level of asymmetry and understanding its sources are key steps to successfully deploying sensor networks and the Internet of Things. Our first contribution is a new metric to assess link asymmetry, one which takes into account the instantaneous delivery success probability. Next, we study the influence of four factors on link asymmetry in light of our asymmetry metric, namely, relative distance, output power, relative position, and hardware heterogeneity. With our unique method, we show that all four factors impact link asymmetry.}
    }

 Open Access 

An Architecture for Distributed Video Stream Processing in IoMT Systems

Aluizio Rocha Neto, Thiago P. Silva, Thais V. Batista, Flavia C. Delicato, Paulo F. Pires, Frederico Lopes

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 89-104, 2020, Downloads: 3139, Citations: 8

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219341417043601 | GNL-LP: 1215016921 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: In Internet of Multimedia Things (IoMT) systems, Internet cameras installed in buildings and streets are major sources of sensing data. From these large-scale video streams, it is possible to infer various information providing the current status of the monitored environments. Some events of interest that have occurred in these observed locations produce insights that might demand near real-time responses from the system. In this context, the event processing depends on data freshness, and computation time, otherwise, the processing results and activities become less valuable or even worthless. An encouraging plan to support the computational demand for latency-sensitive applications of largely geo-distributed systems is applying Edge Computing resources to perform the video stream processing stages. However, some of these stages use deep learning methods for the detection and identification of objects of interest, which are voracious consumers of computational resources. To address these issues, this work proposes an architecture to distribute the video stream processing stages in multiple tasks running on different edge nodes, reducing network overhead and consequent delays. The Multilevel Information Fusion Edge Architecture (MELINDA) encapsulates the data analytics algorithms provided by machine learning methods in different types of processing tasks organized by multiple data-abstraction levels. This distribution strategy, combined with the new category of Edge AI hardware specifically designed to develop smart systems, is a promising approach to address the resource limitations of edge devices.

BibTex:

    @Article{OJIOT_2020v6i1n09_Neto,
        title     = {An Architecture for Distributed Video Stream Processing in IoMT Systems},
        author    = {Aluizio Rocha Neto and
                     Thiago P. Silva and
                     Thais V. Batista and
                     Flavia C. Delicato and
                     Paulo F. Pires and
                     Frederico Lopes},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {89--104},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219341417043601},
        urn       = {urn:nbn:de:101:1-2020080219341417043601},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {In Internet of Multimedia Things (IoMT) systems, Internet cameras installed in buildings and streets are major sources of sensing data. From these large-scale video streams, it is possible to infer various information providing the current status of the monitored environments. Some events of interest that have occurred in these observed locations produce insights that might demand near real-time responses from the system. In this context, the event processing depends on data freshness, and computation time, otherwise, the processing results and activities become less valuable or even worthless. An encouraging plan to support the computational demand for latency-sensitive applications of largely geo-distributed systems is applying Edge Computing resources to perform the video stream processing stages. However, some of these stages use deep learning methods for the detection and identification of objects of interest, which are voracious consumers of computational resources. To address these issues, this work proposes an architecture to distribute the video stream processing stages in multiple tasks running on different edge nodes, reducing network overhead and consequent delays. The Multilevel Information Fusion Edge Architecture (MELINDA) encapsulates the data analytics algorithms provided by machine learning methods in different types of processing tasks organized by multiple data-abstraction levels. This distribution strategy, combined with the new category of Edge AI hardware specifically designed to develop smart systems, is a promising approach to address the resource limitations of edge devices.}
    }

 Open Access 

ParkingJSON: An Open Standard Format for Parking Data in Smart Cities

Gowri Sankar Ramachandran, Jeremy Stout, Joyce J. Edson, Bhaskar Krishnamachari

Open Journal of Internet Of Things (OJIOT), 6(1), Pages 105-118, 2020, Downloads: 2920, Citations: 1

Full-Text: pdf | URN: urn:nbn:de:101:1-2020080219342154738409 | GNL-LP: 121501693X | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Data marketplaces and data management platforms offer a viable solution to build large city-scale Internet of Things (IoT) applications. Contemporary data marketplaces and data management platforms for smart cities such as Intelligent IoT Integrator (I3), Cisco Kinetic, Terbine, and Streamr present a middleware platform to help the data owners to provide their data to the application developers. However, such platforms suffer from adoption issues because of the interoperability concerns that stem from heterogeneous data formats. On the one hand, the IoT devices and the software used by the device owners follow either a custom data standard or a proprietary industrial standard. On the other hand, the application developers consuming data from multiple device owners expect the data to follow one common standard to process the data without developing custom software for each data feed. Therefore, a common data standard is desired to enable interoperable data exchange through data marketplace and data management platforms while promoting adoption. We present our experiences from developing a city-scale real-time parking application for a smart city. We also introduce ParkingJSON, a new open standard format for parking data in smart cities, which could help the parking data providers to cover all types of parking infrastructures through a single JSON schema. To the best of our knowledge, this is the first parking data standard proposed that a) covers a wide range of parking spaces and structures, b) integrates spatial information, and c) provides support for data integrity and authenticity.

BibTex:

    @Article{OJIOT_2020v6i1n10_Ramachandran,
        title     = {ParkingJSON: An Open Standard Format for Parking Data in Smart Cities},
        author    = {Gowri Sankar Ramachandran and
                     Jeremy Stout and
                     Joyce J. Edson and
                     Bhaskar Krishnamachari},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2020},
        volume    = {6},
        number    = {1},
        pages     = {105--118},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2020080219342154738409},
        urn       = {urn:nbn:de:101:1-2020080219342154738409},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Data marketplaces and data management platforms offer a viable solution to build large city-scale Internet of Things (IoT) applications. Contemporary data marketplaces and data management platforms for smart cities such as Intelligent IoT Integrator (I3), Cisco Kinetic, Terbine, and Streamr present a middleware platform to help the data owners to provide their data to the application developers. However, such platforms suffer from adoption issues because of the interoperability concerns that stem from heterogeneous data formats. On the one hand, the IoT devices and the software used by the device owners follow either a custom data standard or a proprietary industrial standard. On the other hand, the application developers consuming data from multiple device owners expect the data to follow one common standard to process the data without developing custom software for each data feed. Therefore, a common data standard is desired to enable interoperable data exchange through data marketplace and data management platforms while promoting adoption. We present our experiences from developing a city-scale real-time parking application for a smart city. We also introduce ParkingJSON, a new open standard format for parking data in smart cities, which could help the parking data providers to cover all types of parking infrastructures through a single JSON schema. To the best of our knowledge, this is the first parking data standard proposed that a) covers a wide range of parking spaces and structures, b) integrates spatial information, and c) provides support for data integrity and authenticity.}
    }

OJIOT Publication Fees

All articles published by RonPub are fully open access and online available to readers free of charge. To be able to provide open access journals, RonPub defrays the costs (induced by processing and editing of manuscripts, provision and maintenance of infrastructure, and routine operation and management of journals) by charging an one-time publication fee for each accepted article. In order to ensure that the fee is never a barrier to publication, RonPub offers a fee waiver for authors from low-income countries. Authors who do not have funds to cover publication fees should submit an application during the submission process. Applications of waiver will be examined on a case by case basis. The scientific committee members of RonPub are entitled a partial waiver of the standard publication fees as reward for their work. 

  • Standard publication fee: 338 Euro (excluding tax).
  • Authors from the low-income countries: 71% waiver of the standard publication fee. (Note: The list is subject to change based on the data of the World Bank Group.):
    Afghanistan, Bangladesh, Benin, Bhutan, Bolivia (Plurinational State of), Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, Comoros, Congo (Democratic Republic), Côte d'Ivoire, Djibouti, Eritrea, Ethiopia, Gambia, Ghana, Guinea, Guinea-Bissau, Haiti, Honduras, Kenya, Kiribati, Korea (Democratic People’s Republic), Kosovo, Kyrgyz Republic, Lao (People’s Democratic Republic), Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Micronesia (Federated States of), Moldova, Morocco, Mozambique, Myanmar, Nepal, Nicaragua, Niger, Nigeria, Papua New Guinea, Rwanda, Senegal, Sierra Leone, Solomon Islands, Somalia, South Sudan, Sudan, Swaziland, Syrian Arab Republic, São Tomé and Principe, Tajikistan, Tanzania, Timor-Leste, Togo, Uganda, Uzbekistan, Vietnam, West Bank and Gaza Strip, Yemen (Republic), Zambia, Zimbabwe
  • Scientific committee members: 25% waiver of the standard publication fee.
  • Guest editors and reviewers: 25% waiver of the standard publication fee for one year.

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Editors and reviewers have no access to payment information. The inability to pay will not influence the decision to publish a paper; decisions to publish are only based on the quality of work and the editorial criteria.

OJIOT Indexing

In order for our publications getting widely abstracted, indexed and cited, the following methods are employed:

  • Various meta tags are embedded in each publication webpage, including Google Scholar Tags, Dublic Core, EPrints, BE Press and Prism. This enables crawlers of e.g. Google Scholar to discover and index our publications.
  • Different metadata export formats are provided for each article, including BibTex, XML, RSS and RDF. This makes readers to cite our papers easily.
  • An OAI-PMH interface is implemented, which facilitates our article metadata harvesting by indexing services and databases.

The paper Getting Indexed by Bibliographic Databases in the Area of Computer Science provides a comprehensive survey on indexing formats, techniques and databases. We will also continue our efforts on dissemination and indexing of our publications.

OJIOT has been indexed by the following libraries and bibliographic databases:

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Please submit your manuscript by carefully filling in the information in the following web form. If there technical problems, you may also submit your manuscript by sending the information and the manuscript to .

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For Authors

Manuscript Preparation

Authors should first read the author guidelines of the corresponding journal. Manuscripts must be prepared using the manuscript template of the respective journal. It is available as word and latex version for download at the Author Guidelines of the corresponding journal page. The template describes the format and structure of manuscripts and other necessary information for preparing manuscripts. Manuscripts should be written in English. There is no restriction on the length of manuscripts.

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Authors submit their manuscripts via the submit page of the corresponding journal. Authors first submit their manuscripts in PDF format. Once a manuscript is accepted, the author then submits the revised manuscript as PDF file and word file or latex folder (with all the material necessary to generate the PDF file). The work described in the submitted manuscript must be previously unpublished; it is not under consideration for publication anywhere else. 

Authors are welcome to suggest qualified reviewers for their papers, but this is not mandatory. If the author wants to do so, please provide the name, affiliations and e-mail addresses for all suggested reviewers.

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After submission of manuscripts, authors will receive an email to confirm receipt of manuscripts within a few days. Subsequent enquiries concerning paper progress should be made to the corresponding editorial office (see individual journal webpage for concrete contact information).

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RonPub is committed to enforcing a rigorous peer-review process. All manuscripts submitted for publication in RonPub journals are strictly and thoroughly peer-reviewed. When a manuscript is submitted to a RonPub journal, the editor-in-chief of the journal assigns it to an appropriate editor who will be in charge of the review process of the manuscript. The editor first suggests potential reviewers and then organizes the peer-reviewing herself/himself or entrusts it to the editor office. For each manuscript, typically three review reports will be collected. The editor and the editor-in-chief evaluate the manuscript itself and the review reports and make an accept/revision/reject decision. Authors will be informed with the decision and reviewing results within 6-8 weeks on average after the manuscript submission. In the case of revision, authors are required to perform an adequate revision to address the concerns from evaluation reports. A new round of peer-review will be performed if necessary.

Accepted manuscripts are published online immediately.

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Authors publishing with RonPub open journals retain the copyright to their work. 

All articles published by RonPub is fully open access and online available to readers free of charge.  RonPub publishes all open access articles under the Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction freely, provided that the original work is properly cited.

Digital Archiving Policy

Our publications have been archived and permanently-preserved in the German National Library. The publications, which are archived in the German National Library, are not only long-term preserved but also accessible in the future, because the German National Library ensures that digital data saved in the old formats can be viewed and used on current computer systems in the same way they were on the original systems which are long obsolete. Further measures will be taken if necessary. Furthermore, we also encourage our authors to self-archive their articles published on the website of RonPub.

For Editors

About RonPub

RonPub is academic publisher of online, open access, peer-reviewed journals. All articles published by RonPub is fully open access and online available to readers free of charge.

RonPub is located in Lübeck, Germany. Lübeck is a beautiful harbour city, 60 kilometer away from Hamburg.

Editor-in-Chief Responsibilities

The Editor-in-Chief of each journal is mainly responsible for the scientific quality of the journal and for assisting in the management of the journal. The Editor-in-Chief suggests topics for the journal, invites distinguished scientists to join the editorial board, oversees the editorial process, and makes the final decision whether a paper can be published after peer-review and revisions.

As a reward for the work of a Editor-in-Chief, the Editor-in-Chief will obtain a 25% discount of the standard publication fee for her/his papers (the Editor-in-Chief is one of authors) published in any of RonPub journals.

Editors’ Responsibilities

Editors assist the Editor-in-Chief in the scientific quality and in decision about topics of the journal. Editors are also encouraged to help to promote the journal among their peers and at conferences. An editor invites at least three reviewers to review a manuscript, but may also review him-/herself the manuscript. After carefully evaluating the review reports and the manuscript itself, the editor makes a commendation about the status of the manuscript. The editor's evaluation as well as the review reports are then sent to EiC, who make the final decision whether a paper can be published after peer-review and revisions. 

The communication with Editorial Board members is done primarily by E-mail, and the Editors are expected to respond within a few working days on any question sent by the Editorial Office so that manuscripts can be processed in a timely fashion. If an editor does not respond or cannot process the work in time, and under some special situations, the editorial office may forward the requests to the Publishers or Editor-in-Chief, who will take the decision directly.

As a reward for the work of editors, an editor will obtain a 25% discount of the standard publication fee for her/his papers (the editor is one of authors) published in any of RonPub journals.

Guest Editors’ Responsibilities

Guest Editors are responsible of the scientific quality of their special issues. Guest Editors will be in charge of inviting papers, of supervising the refereeing process (each paper should be reviewed at least by three reviewers), and of making decisions on the acceptance of manuscripts submitted to their special issue. As regular issues, all accepted papers by (guest) editors will be sent to the EiC of the journal, who will check the quality of the papers, and make the final decsion whether a paper can be published.

Our editorial office will have the right directly asking authors to revise their paper if there are quality issues, e.g. weak quality of writing, and missing information. Authors are required to revise their paper several times if necessary. A paper accepted by it's quest editor may be rejected by the EiC of the journal due to a low quality. However, this occurs only when authors do not really take efforts to revise their paper. A high-quality publication needs the common efforts from the journal, reviewers, editors, editor-in-chief and authors.

The Guest Editors are also expected to write an editorial paper for the special issue. As a reward for work, all guest editors and reviewers working on a special issue will obtain a 25% discount of the standard publication fee for any of their papers published in any of RonPub journals for one year.

Reviewers’ Responsiblity

A reviewer is mainly responsible for reviewing of manuscripts, writing reviewing report and suggesting acception or deny of manuscripts. Reviews are encouraged to provide input about the quality and management of the journal, and help promote the journal among their peers and at conferences.  

Upon the quality of reviewing work, a reviewer will have the potential to be promoted to a full editorial board member. 

As a reward for the reviewing work, a reviewer will obtain a 25% discount of the standard publication fee for her/his papers (the review is one of authors) published in any of RonPub journals.

Launching New Journals

RonPub always welcomes suggestions for new open access journals in any research area. We are also open for publishing collaborations with research societies. Please send your proposals for new journals or for publishing collaboration to This email address is being protected from spambots. You need JavaScript enabled to view it. .

Publication Criteria

This part provides important information for both the scientific committees and authors.

Ethic Requirement:

For scientific committees: Each editor and reviewer should conduct the evaluation of manuscripts objectively and fairly.
For authors: Authors should present their work honestly without fabrication, falsification, plagiarism or inappropriate data manipulation.

Pre-Check:

In order to filter fabricated submissions, the editorial office will check the authenticity of the authors and their affiliations before a peer-review begins. It is important that the authors communicate with us using the email addresses of their affiliations and provide us the URL addresses of their affiliations. To verify the originality of submissions, we use various plagiarism detection tools to check the content of manuscripts submitted to our journal against existing publications. The overall quality of paper will be also checked including format, figures, tables, integrity and adequacy. Authors may be required to improve the quality of their paper before sending it out for review. If a paper is obviously of low quality, the paper will be directly rejected.

Acceptance Criteria:

The criteria for acceptance of manuscripts are the quality of work. This will concretely be reflected in the following aspects:

  • Novelty and Practical Impact
  • Technical Soundness
  • Appropriateness and Adequacy of 
    • Literature Review
    • Background Discussion
    • Analysis of Issues
  • Presentation, including 
    • Overall Organization 
    • English 
    • Readability

For a contribution to be acceptable for publication, these points should be at least in middle level.

Guidelines for Rejection:

  • If the work described in the manuscript has been published, or is under consideration for publication anywhere else, it will not be evaluated.
  • If the work is a plagiarism, or contains data falsification or fabrication, it will be rejected.
  • Manuscripts, which have seriously technical flaws, will not be accepted.

Call for Journals

Research Online Publishing (RonPub, www.ronpub.com) is a publisher of online, open access and peer-reviewed scientific journals.  For more information about RonPub please visit this link.

RonPub always welcomes suggestions for new journals in any research area. Please send your proposals for journals along with your Curriculum Vitae to This email address is being protected from spambots. You need JavaScript enabled to view it. .

We are also open for publishing collaborations with research societies. Please send your publishing collaboration also to This email address is being protected from spambots. You need JavaScript enabled to view it. .

Be an Editor / Be a Reviewer

RonPub always welcomes qualified academicians and practitioners to join as editors and reviewers. Being an editor/a reviewer is a matter of prestige and personnel achievement. Upon the quality of reviewing work, a reviewer will have the potential to be promoted to a full editorial board member.

If you would like to participate as a scientific committee member of any of RonPub journals, please send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. with your curriculum vitae. We will revert back as soon as possible. For more information about editors/reviewers, please visit this link.

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