Calls for Papers (special): International Journal of Information System Modeling and Design (IJISMD)


Special Issue On: System Modeling in Next-Generation Internet

Submission Due Date
12/31/2021

Guest Editors
Jianhui Lv (Leader GE), Tsinghua University, China
lvjianhui2012@163.com
Chaomin Luo, Mississippi State University, USA
chaomin.luo@ece.msstate.edu
Hui Cheng, University of Hertfordshire, U.K.
H.Cheng@ljmu.ac.uk
Lianbo Ma, Northeastern University, China
malb@swc.neu.edu.cn

Introduction
Different from current TCP/IP structure, Next-Generation Internet (NGI) proposes revolutionary architectures. Although these emerging NGI paradigms have shown many significant advantages in the improvement aspects of system performance and Quality of Service (QoS), they always face some severe challenges. For example, with the explosive increasing of information data, the whole system performance usually cannot reach relatively optimal and the super-high requirements of users cannot be satisfied well. As a key technique solution, system modeling plays an important role in an information age, and it can conduct large-scale data evaluation, traffic scheduling, robustness analysis, etc. By considering system modeling in NGI, the above-mentioned challenges can be improved greatly. For example, the request distribution of users is analyzed to improve QoS; the mathematical model of traffic is built to guarantee without data congestion. Furthermore, system modeling will simplify NGI and make it more modular from the perspective of system framework. Therefore, this special issue will focus on system modeling in NGI.

Objective
We invite researchers to contribute original and high-quality research articles that will seek the continuing efforts to understand the state-of-the-art system modelling methods for NGI.

Recommended Topics
 Data Analysis Modeling in NGI
 System Robustness Modeling in NGI
 Traffic Modeling in NGI
 QoS Modeling in NGI
 Predictive Modeling in NGI
 Scalable and Sustainable Modeling in NGI
 Service-Oriented Modeling in NGI
 User-Oriented Modeling in NGI
 Knowledge-Based Modeling in NGI
 Learning-Based Modeling in NGI
 Model-Driven NGI System
 System Modeling Methods

All inquiries should be directed to the attention of:
Jianhui Lv (Leader GE), Tsinghua University, China
lvjianhui2012@163.com

Special Issue On: Computational Intelligence based System Modelling & Design for Knowledge Extraction

Submission Due Date
1/31/2022

Guest Editors
Dr. Tanvi Arora
Associate Professor CGC College of Engineering Landran Mohali Punjab
tanviverma@rediffmail.com

Dr Rituraj Soni Engineering College Bikaner, Bikaner, Rajasthan India
rituraj.soni@gmail.com
Dr. Renu Dhir
Associate Professor, Dr B.R Ambedkar National Institute of Technology, Jalandhar India
rituraj.soni@gmail.com
Dr. Rohit Handa
Applied Systems Brampton Canada
handarohit140@gmail.com

Introduction
Knowledge extraction aims at creation of knowledge from structured and unstructured sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Computational Intelligence based systems are playing a key role in extracting meaningful information from the huge amount of digital data which is readily available these days. We call upon the original unpublished manuscripts that are currently not under review by any other journal, magazine, or conference. This issue aims to collect the latest developments in the domain of Computational Intelligence based System Modelling & Design for Knowledge Extraction. The methods that are close to the human's way of reasoning, i.e. it uses inexact and incomplete knowledge, and it is able to produce control actions in an adaptive way. Knowledge Extraction is a complex and instantaneous human process that happens in the minds of people. This special issue provides a forum for innovative findings in the development of knowledge Extraction & generation using Computational Intelligence based system modelling & Design.

Objective
This special issue therefore aims to publish high quality, original, unpublished research papers in the broad area of Computational Intelligence based System Modelling & Design for Knowledge Extraction. Thus, presenting a platform to bring together researchers, practitioners, developers, environmentalists and users who explore new ideas, techniques, and tools, as well as to exchange their experiences.

Recommended Topics
• System Modeling for Knowledge Extraction
• Modeling of human knowledge extraction process
• Computational Intelligence based Knowledge Extraction
• Knowledge Extraction for Artificial intelligence
• Knowledge Extraction for Smart Cities
• Knowledge Extraction for Intelligent Healthcare
• Knowledge Extraction in Multimedia
• System modeling and design based upon Knowledge Extraction

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on “Computational Intelligence based System Modelling & Design for Knowledge Extraction” on or before Jan 31 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Tanvi Arora
Dr. Renu Dhir
Dr. Rituraj Soni
Dr. Rohit Handa

Special Issue On: ADVANCES IN RECOMMENDATION SYSTEMS FOR SMART E-COMMERCE

Submission Due Date
2/25/2022

Guest Editors
Dr. Carlos Enrique Montenegro Marin
Professor, District University Francisco José de Caldas, Bogotá, Colombia
Official Email ID:cemontenegrom@udistrital.edu.co
Google Scholar:https://scholar.google.com/citations?user=ejJHY40AAAAJ&hl=es
Co-Guest Editor: Dr. Dinesh Jackson Samuel
Faculty of Technology, Design and Environment, Oxford Brookes University, Oxford OX3 0BP, United Kingdom
Official Email ID: rsamuel@brookes.ac.uk
GoogleScholar: https://scholar.google.co.in/citations?user=wEYpBewAAAAJ
Dr. Nallappan Gunasekaran
Research professor, Department of Mathematical Sciences, Shibaura Institute of Technology, Saitama 337-8570, Japan.
Official Email ID: nallappan.gunasekaran.b1@shibaura-it.ac.jp
Google Scholar: https://scholar.google.com/citations?user=4MhMsUkAAAAJ&hl=en

Introduction
In today’s competitive world, every business organization strives for a successful business. However, achieving this objective becomes inevitable with intelligent goals and a well-defined mission. The most important idea of smart e-commerce is to simplify the buying process and improve communication between the seller and the consumer. In general, smart e-commerce assists business enterprises to collect meaningful data that enlightens the trends in the inventory cycle. Besides, the scope of smart e-commerce is not only limited to inventory management; indeed, it widely influences every aspect of the enterprise business. Whenever an order comes in, the smart e-commerce environment forwards it to the enterprise resource planning systems, which assigns an appropriated warehouse to it. Here, the major drawback is that we need efficient technologies to really harness the potential of data and to derive operational advancements. This is exactly the scenario where the role of recommendation systems comes into the picture of smart e-commerce.

Recommended Topics
• Trends, challenges and future research directions of recommendation systems for smart e-commerce
• Advances in AI and recommendation systems for smart e-commerce
• Effective ways of personalized search management for smart e-commerce
• Recommendation systems to promote user experiences across smart e-commerce environment
• Optimizing data intensive searches with recommendation systems for smart e-commerce platforms
• Disruptive technologies to advance the application of recommendation systems across smart e-commerce systems
• Role of recommendation system in business analytics for smart e-commerce
• Future advances in recommendation systems for sustainable e-commerce
• Performance optimization of smart e-commerce platforms using recommendation systems
• Exploring the potential of smart e-commerce with big data analytics and recommendation systems

All inquiries should be directed to the attention of:
Dr. Carlos Enrique Montenegro Marin
Professor, District University Francisco José de Caldas, Bogotá, Colombia
Official Email ID:cemontenegrom@udistrital.edu.co
Google Scholar:https://scholar.google.com/citations?user=ejJHY40AAAAJ&hl=es

Special Issue On: Augmented Intelligence for Digital Business Analytics

Submission Due Date
3/13/2022

Guest Editors
Dr. Priyan Malarvizhi Kumar, Kyung Hee University, South Korea.
Dr. Adhiyaman Manickam, Shenzhen University, China.
Dr. Sivaparthipan CB, Adhiyamaan College for Engineering, India.

Introduction
Presently, we live in an era of big data. Online business applications have become so huge, fast-growing, and complex, which is often a difficult process for traditional business solutions to handle. In many ways, traditional business management practices fail when it comes to contemporary business management systems. They fail to collect the massive amount of big data, it is tough to process and prepare big unprocessed data, and it is often difficult to make predictions and understand the patterns of the data. In the current arena of growing competition and digital disruptions, business owners are often forced to seize the new risks and opportunities associated with every sector of the business economy. The core problem here is that concatenating all forms of the business big data, creating a consolidated view, and deriving actionable insights are the most critical concerns. When dealt appropriately, it leads to the most successful and competitive business environment. Augmented intelligence is an innovative approach to enhance human cognitive functions through which it successfully handles uncertainty and disruptions in digital business applications with efficient decision-making strategies. It makes intelligent decisions using an inventive combination of data, analytics, and artificial intelligence with a correct proportion of human judgment.

Objective
In summary, the world has changed. All business data today are big data. A countless number of business transactions and digital marketing strategies are developed every day and every single minute. The data generated from online business sources are highly crucial as it makes sense to the success of the business application. However, processing this data and extracting valuable insights are more complex due to varied reasons, which are discusses above. Augmented intelligence for business analytics is an ideal solution that can easily collect live business data sources, find relationships within the data, and derive meaningful conclusions, which can effectively assist in business decision making. However, real-world implementation of augmented intelligence for business analytics is still in infancy and needs a long way to go. When implemented suitably, it can significantly change the world of digital business analytics with high-level business insights, which humans can never imagine.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
  • Design and development strategies to effectively concatenate augmented intelligence for emerging business requirements
  • Social, behavioral, and economic implications of augmented intelligence on digital business analytics
  • Role of ethical computational intelligence in augmented intelligence for digital business analytics
  • Influence of human cognition in digital business analytics using augmented intelligence
  • Innovations in augmented intelligence for future generation digital business analytics and applications
  • Role of cognitive intelligence in digital business analytics using augmented intelligence
  • Synergy of human, intelligence, and algorithms for digital business analytics
  • Impact of augmented intelligence on emerging markets
  • Combined effect of big data and augmented intelligence for digital business analytics
  • Augmented intelligence to overcome active challenges in digital business analytics with appropriate solutions


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Augmented Intelligence for Digital Business Analytics on or before March 13th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Priyan Malarvizhi Kumar,
Dr. Adhiyaman Manickam,
Dr. Sivaparthipan CB.

Guest Editors
International Journal of Information System Modeling and Design
Email: p.malarvizhikumar@ieee.org; adhiyaman.m@ieee.org; sivaparthipan.cse@adhiyamaan.in

Special Issue On: Futuristic Trends in Information Systems and Security: Opportunities and Challenges

Submission Due Date
6/30/2022

Guest Editors
Dr. Pradeep Kumar Singh, Professor, Department of CS, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India

Dr. Zdzislaw Polkowski, Adjunt Professor, Department of Computer Science, Jan Wyzykowski University, Poland

Introduction
Information systems and security issues are the emerging technologies that include the delivery of different services through the Internet, including security in data storage, servers, databases, networking, and software. Remote access support by the cloud computing made it most widely integrated technology for the information systems but security is one of the challenging issue during remote access and storage as well. All data files can be saved and retrieve from a remote database. Due to this, most of the e-commerce applications have shifted to cloud-based platforms and these application require the security in associated information systems.

The cloud technologies integration with information systems further makes e-commerce business more promising and ease to use by the customers and by the business professionals. At the same time, as data is stored on the cloud, there are many challenges occurs from security to access control and processing large number of datasets.

In this special issue we aim to explore the complexity and challenges in adopting the information systems and its related security constraints with integration to cloud infrastructure via involvement of emerging information systems. The empirical studies and conceptual contributions will enhance the understanding of problems to design and implement more reliable, ease to use and cost-effective information systems and their applications. System modeling concepts and design will emerge in a new shape due to integration of cloud and information systems for e-commerce and related applications in order to meet the expectations and requirements of end users.

Objective
The objective of this special issue is to concentrate on all aspects and future research directions related to this specific area of information systems, security issues in information systems and information systems and its integration to cloud computing with its usages toward online shopping, online food services, E-healthcare, E-care, E-solution, service-oriented modeling, reliable and secure systems design and analysis.

Recommended Topics
• Emerging Information System with Cloud Integration
• Security Issues in Information Systems with respect to various applications
• Information Systems and Cloud Computing Technologies
• Reliable and Secure System Design for E-Healthcare Using Cloud Technologies
• Privacy and Service Level Agreements in E-Commerce on Integrating Cloud Technologies
• Emerging infrastructure and applications for E-Commerce Using Cloud Technologies
• Methods of system analysis and design of E-Commerce Applications on Integrating Cloud Technologies
• Emerging Technologies in E-Commerce on Integrating Cloud Technologies
• Emergence of policy models and mechanisms for E-Commerce with cloud platform
• Risk management, safety-critical systems design in E-Commerce with cloud platform
• Information system architecture for E-Commerce using cloud technologies
• Information system methodologies for E-Commerce on Integrating Cloud Technologies
• Information system security for E-Commerce on Integrating Cloud Technologies
• Multimedia and Service methodologies in E-healthcare Using Cloud Technologies

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Futuristic Trends in Information Systems and Security: Opportunities and Challenges on or before 30th June 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Pradeep Kumar Singh
Dr. Zdzislaw Polkowski
Guest Editors
International Journal of Information System Modeling and Design (IJISMD)
E-mail: pradeep_84cs@yahoo.com, z.polkowski@ujw.pl