Calls for Papers (special): International Journal of Grid and High Performance Computing (IJGHPC)


Special Issue On: Innovation in Information Technology Through Smart Cloud and Analytics

Submission Due Date
12/31/2018

Guest Editors
Dr. Ankur Dumka, UPES, India
Dr. Upasana Geetanjali Singh, University of KwaZulu Natal, - Westville, South africa
Dr. Gorachand Dutta, university of Bath, United Kingdom

Introduction
The special issue focused on advanced information technology system through grid and high performance computing. Advanced Information technology through grid and high performance computing focused on latest and new technologies that are updated technologies of the recent world where most of the research work is going on and which are up to date as per the market demand and requirements. A number of advanced technologies has been focused in this journals which includes technologies like Grid Computing, High Performance Computing (HPC), Computational intelligence, Big Data, Advanced Networking, Cloud Computing and others.

This special issue of the journal intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation and solving of optimization problems, both theoretically and in a broad range of application fields. The journal special issue also aims to foster hybrid approaches within advanced information technology areas.

Objective
This special journal issue focuses on advanced information technologies through grid and high performance computing which include areas of Grid Computing, High Performance Computing (HPC), Computational intelligence, Big Data, Advanced Networking Artificial Intelligence, Cognitive Science, Decision Support System, Fuzzy logic, HCI, Evolutionary Computing, Natural language Processing, Semantic Web, Parallel and Distributed Networks, Wireless Sensor Networks, Software Defined Networks, Big Data Analytics, Image Processing and Pattern Recognition, Fault Tolerant System, Parallel and Distributed Computing, Symbolic Computing, Machine Learning Algorithm, Semantic Analysis, Internet of Things (IoT), E-Governance and Smart city. In this special issue, we seek for solutions and applications for advanced information technologies through grid and high performance computing in high novelty, as well as new visions of information technologies. The major goals of this special issue are to provide a snapshot of state-of-the-art techniques and applications for advanced information technologies.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
• High Performance Computing (HPC)
• Grid Computing
• Artificial Intelligence
• Cognitive Science
• Decision Support System
• Fuzzy logic
• HCI
• Evolutionary Computing
• Natural language Processing
• Parallel and Distributed Networks
• Wireless Sensor Networks
• Software Defined Networks
• Big Data Analytics
• Parallel and Distributed Computing
• Machine Learning Algorithm
• Semantic Analysis
• Internet of Things (IoT)
• E-Governance and Smart City
• Computational Sustainablity

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Innovation in Information technology through smart cloud and analytics on or before 31/12/2018. 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 submissions and inquiries should be directed to the attention of:
Dr. Ankur Dumka
Dr. Upasana Geetanjali Singh
Dr. Gorachand Dutta

Guest Editor

International Journal of Grid and High Performance Computing (IJGHPC)
E-mail: ankurdumka2@gmail.com

Special Issue On: Parallel Deep Learning Programming Framework For Heterogeneous Architecture

Submission Due Date
1/31/2019

Guest Editors
Kaijian XIA
Wen SI
Yanglin WEI

Introduction
Deep learning plays an important role in machine learning field, and it has been widely used in various applications. The prospect of research and applications of deep learning are huge. However, deep learning also faces several challenges. Firstly, there are many tools in deep learning field, but these tools are not convenient to use for non‐expert users because the installation and usage of them are really complex. Secondly, the diversity of deep learning is limited because the flexibility of existing deep learning models is not enough. Furthermore, the training time of deep learning is so long that the optimal hyper‐parameters combination cannot be found in a short time. To solve these problems, we design a deep learning programming framework based on heterogeneous architecture in this paper. The programming framework establishes a unified module library which can be used to build a deep model through the visual interface conveniently. Besides, the framework also accelerates the basic modules on heterogeneous platform, and makes the speed of searching optimal hyper‐parameters combination be faster.

Objective
The special issue mainly focuses on depth learning for parallel programming framework. We are soliciting original contributions, of leading researchers and practitioners from academia as well as industry, which address a wide range of theoretical and application issues in deep learning for parallel programming framework.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
• Parallel computing
• Isomeric architecture
• 3.Deep learning algorithm
• Programming framework
• GPU programming
• Linguistic foundations
• Software engineering aspects
• Pattern recognition
• Artificial intelligence
• Computer graphics image
• Network model optimization
• Computer simulation
• Bioinformatics
• Systems biology
• Image processing

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Parallel deep learning programming framework for heterogeneous architecture on or before 30 January, 2019. 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/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Kaijian XIA
Guest Editor
International Journal of Grid and High Performance Computing
E-mail: LB17060008@cumt.edu.cn

Special Issue On: Recent Advances in Wireless Sensor Networks

Submission Due Date
10/31/2019

Guest Editors
Chang Wu Yu, Chung Hua University, Taiwan
Qin Xin, University of the Faroe Islands, Faroe Islands, Denmark

Introduction
Related technologies in wireless sensor networks (WSNs) have advanced over the past few years. However recent breakthrough in wireless sensor networks introduces many new directions and new challenges, and thus receives a lot of attention. For example, different from energy harvesting, power transfer technique together with mature and inexpensive mobile robots, such as mobile wireless charging vehicles, creates a controllable and continual energy source, with which power can be replenished proactively to meet application requirements rather ran passively adapted to the environmental resources. New directions in wireless sensor networks raise a number of interesting and undiscovered algorithmic, theoretical, and systematic issues, but traditional techniques are not sufficient to solve these problems in the right way.

Objective
The main focus of this special issue is devoted to deeper understanding of the algorithms, theories, and systems which are developed for these new advances in a wireless sensor network. Specifically, this special issue focuses on new advances on wireless sensor networks such as rechargeable WSNs, flying WSNs, collaborative WSNs, applications in IoT, Green computing in WSNs etc.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
• Rechargeable wireless sensor networks
• Flying sensor networks
• Wireless sensor networks for Internet of Thing
• Wireless sensor networks for collaborative computing
• Green computing in wireless sensor networks
• Industrial wireless sensor networks
• Software defined wireless sensor networks
• Security optimization issue in wireless sensor networks
• Wireless sensor networks and cloud computing integrated architecture
• Cloud based wireless sensor networks

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Recent Advances in Wireless Sensor Networks on or before 31 October 2019. 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 submissions and inquiries should be directed to the attention of:
Chang Wu Yu

Guest Editor
International Journal of Grid and High Performance Computingg
E-mail: james.cwyu@gmail.com