Please rename your filename to "Session name_yourname.pdf", e.g. "SS02_Rabie.pdf"
The culture and the ability to adapt to changes and to test our software rapidly lead to the need for changing the way of building the software and its architecture. The main steps to be taken to the new journey of change is to develop microservices applications that use DevOps in a container-based environment. As you evolve your application to microservices, you have many deployment techniques to manage these services that are operating as scale in terms of software updates, experimentation, trying things out, getting feedback, and, of course, the evolution of microservices. You can automatically configure your application to deploy different versions of different environments for testing and evaluation. This session is dedicated to microservices techniques, applications, and intelligent systems. The session welcomes original contributions in the following areas but not limited to :
Please rename your filename to "Session name_yourname.pdf", e.g. "SS01_Rabie.pdf"
This special session is concerned with advanced techniques in signal, image processing, biomechanics, control and modeling for biomedical application. This special session is devoted to biomedical and health systems. This special session is concerned with advanced techniques applied to the diagnosis, prediction and management of various biomedical applications. Nowadays, the physicians’ practitioners use many sophisticated approaches to diagnose their patients. Due to the development of many non-conventional advanced techniques, there exist specific methods such as those above described and online software specially developed to aid these physicians in their diagnosis and prognostic of the pathology. This special session aims to gather the scientists who developed such methods and the practitioners who are using physical exam to chair their experiences. These developed methods and software systems may be used together for conducting a physical exam, suggesting tentative diagnosis, and managing a treatment protocol. The developed software is mainly based on advanced techniques
Please rename your filename to "Session name_yourname.pdf", e.g."SS02_Rabie.pdf"
To support the further expansion and evolution of the Internet of Things (IoT), the mobile industry has developed and standardized a class of dedicated cellular technologies. These Mobile IoT networks support devices requiring broad coverage, a long battery life and low cost, yet secure, connectivity across both rural and urban locations. As recent research shows, Mobile IoT technologies are creating value in commercial settings, while outlining initial tariff plans and the availability of modules, chipsets and other equipment. It is notice that these technologies are enabling mobile operators to address a very wide range of potential use cases, ensuring customer choice and helping the IoT to flourish globally. Mobile IoT refers to low power wide area (LPWA) 3GPP standardized secure operator managed IoT networks in licensed spectrum. In particular, LPWA networks designed for IoT applications that are low cost, use low data rates require long battery lives and often operate in remote and hard to reach locations. Existing cellular networks have evolved to deliver service to billions of new devices providing complete IoT connectivity. Mobile IoT technologies are also inherently more secure than alternative solutions. This is because Mobile IoT networks use dedicated spectrum bands to avoid interference and because SIMs contain highly secure integrated circuits, because mobile operators are supplementing these inherent capabilities with features. To support the further growth and development of the Internet of Things (IoT), the mobile industry together with 3GPP has standardized a new class of GSM technologies in record time. LPWA networks will support devices requiring, low power consumption, long range, low cost and security. LPWA networks will play an important role in connecting the billions of new devices making up the IoT. LPWA technologies are expected to serve a diverse range of vertical industries and support a range of applications and deployment scenarios, which existing mobile technologies may not currently be best placed to connect. Due to the diversity of IoT application requirements, a single technology is not capable of addressing all of the LPWA use cases. For this reason, the mobile industry has focused on two complementary licensed 3GPP standards: Long-Term Evolution for Machines (LTE-M) and Narrowband-Internet of Things (NB-IoT). LPWA technologies in licensed spectrum can be deployed in a simplified manner, without sacrificing key customer requirements, such as battery lifetime and security. Mobile operators already provide reliable, end-to-end secured IoT platforms t hat allow customers to scale and manage their business requirements. They also have unrivalled global network coverage as well as technical and business support to react to a customer’s changing needs. As trusted providers of reliable solutions, operators and their ecosystem partners are considered as best placed to extend their reach to serve the full range of IoT applications.
Proposed submissions should be original and unpublished. Potential topics include, but are not limited to:
Please rename your filename to "Session name_yourname.pdf", e.g. "SS03_Rabie.pdf"
As the digital world becomes increasingly intelligent, automated and ubiquitous, the flow of data becomes ever more vital. Mobile wireless networks are the data highways, and in a fully connected, intelligent digital world, they will need to connect everything from people, vehicles, sensors, data, cloud resources and even robotic agents. Fifth generation (5G) wireless networks that are being released soon offer significant advances, but may be unable to meet the full connectivity demands of emerging systems.5G technologies have always been associated with trade-offs which involve latency, power consumption, deployment costs, hardware complexity, experienced throughput, end-to-end reliability, and communication resilience. Of course, AI is predicted to play a big part in any new standard and one way may be that it allows us to specify even less of what is happening, and just let individual intelligent machines fill in the gaps in our standard. The idea of auto tuning the modem in the field is a new one that may well play an important role in 6G. It would be expected that AI would be fully integrated into an intelligent network system in time for 6G that is called “distributed intelligent wireless computing”, so that the 6G network may also be defined with an expectation of deep learning. On the contrary, the market demands of 2030 and beyond will introduce new applications, with more stringent requirements (in terms of ultrahigh reliability, capacity, energy efficiency, and low latency) which may saturate the capacity of traditional technologies for wireless systems. 6G will contribute to fill this gap. This special issue envisions and emphasizes on this point that how 6G systems can be developed to address the needs of smart networks of the future. Several potential 6G use cases and attempts to provide estimates on requirements to guide design. The demands are daunting, but several promising technologies that can provide the basis for 6G systems are also surveyed. On the Other hand, many of the cellular devices connected nowadays are machines (IoT) rather than people, with the rise of Smart Homes, Smart Building and Smart Cities, so 5G and 6G will include increased demands for machine-to-machine communications, including robotic and autonomous drone delivery and transport systems. The Internet-of-Everything (IoE) is a related development. Other trends predicted for 6G include Ultra-dense cell networks, Reconfigurable Hardware, Millimeter Waves for user access, enhanced Optical-Wireless interface, Networked VLC, Intelligent Networking and technologies to enable Full Immersive Experience for users. One thing we can be confident on is that users will demand and expect greater global coverage, higher capacities and always-on connectivity for new and future internet services and applications, and that 6G will be expected to deliver all of these.
One factor in the drive towards 6G is the growing trend of Software Defined Radio (SDR) and Software Defined Networking (SDN): These mean that future 6G technologies will be easier to upgrade to, with cloud-based resources and software loads enabling upgrade of existing 4G and future 5G equipment to enable 6G applications. This reduces the expensive and disruptive “fork lift” upgrades of previous mobile standards, which generally entail replacement of physical infrastructure. Inter-vendor operability is also an increasing trend, with democratization fueled through open-source development of technologies.
This special session has focused on A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems and is not limited to these topics mentioned above and it can be found more research areas in this domain lf technology for all researchers and scientists who work and do research extensively in these professional fields. All authors and scientists are welcomed and acknowledged to send their working papers, ideas and their solutions and new designed platforms to be reviewed and probably published in this special issue of journal of information science and technology with high quality format of presentation, structure and expressing goals based on clarity of subject and explanation of its details.
Proposed submissions should be original and unpublished. Potential topics include, but are not limited to:
Please rename your filename to "Session name_yourname.pdf", e.g. "SS04_Rabie.pdf"
Fuzzy computation is a field that encompasses the theory and application of fuzzy sets and fuzzy logic to the solution of information processing, systems analysis and synthesis problems. The thought process involved in the act of decision making is a complex array of streaming possibilities in which a person selects or discards information made available from diverse sources. In doing so one is led by a meaningful analysis of available information and optimal selection out of several apparently equi-efficient decisions. Since Zadeh (1965) published the fuzzy set theory as an extension of classic set theory, it has been widely used in many fields of application, such as pattern recognition, data analysis, system control, etc. The unique characteristic of this theory, in contrast to classic mathematics, is its operation on various membership functions (MF) instead of the crisp real values of the variables. Out of the several higher order fuzzy sets, intuitionistic fuzzy sets by Atanassov (1985) have been found to be highly useful to deal with vagueness. Intuitionistic fuzzy set is described by two functions: a membership function and a non - membership function. Over the last few decades, fuzzy technology (FT) has been increasingly used in decision making. Their computational speed in simulating and forecasting has become highly relevant in real time operations. This act of simulation will have multifarious applications in the fields of environment, planning, farming, disaster monitoring capacity building, management, mitigation, etc. This Special Session intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of fuzzy systems, both theoretically and in a broad range of application fields.
Proposed submissions should be original and unpublished. Potential topics include, but are not limited to:
Please rename your filename to "Session name_yourname.pdf", e.g. "SS05_Rabie.pdf"
Organizing Committee:
Internet of Things (IoT) is the mechanism to interconnect all types of devices (real objects and other sensing elements to sense temperature, humidity, pressure, medical parameters , traffic parameters, environmental parameters, etc.), and to connect these devices to the internet. These devices working with various communication standards and protocols, and demands for interoperability. Therefore, it has issues in all the data generated. The motivation of the session is to invite research scholars, academic researchers and industry professional to submit their research ideas and implementations related to all the issues in Big data and IoT. Some important areas are the security framework, cryptographic techniques, protocol, cryptographic algorithm, Case studies of hacking, secure data generation, sensing and data mining, big data analytics, secure cloud computing, secure high performance computing, novel intelligent hardware platform or secure software, energy efficiency with various security techniques. The scope of this special issue is as following but not limited to:
Topics to be discussed in this special session include (but are not limited to) the following:
Please rename your filename to "Session name_yourname.pdf", e.g. "SS06_Rabie.pdf"
Big data mining is emerging and rapid technology which refers to data mining on the large volume of data sets and finding the pattern from a homogenous quantity of data. Big data mining and its insight capabilities have influenced the techies and researchers worldwide to obtain new vertical of insights from a massive collection of data. This special issue is emphasizing on human development. Through this special issue is an effort to give space and scope to researchers to contribute towards marginalized communities. Authors are encouraged to submit original articles addressing the theme.
Studies include, but are not limited to, the following issues:
Please rename your filename to "Session name_yourname.pdf", e.g. "SS07_Rabie.pdf"
Cloud Computing has become a scalable services consumption and delivery platform in the field of Services Computing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modelling tools as a service, social network as a service), and business cloud (e.g., business process as a service). Cloud is used to define a class of computing-based network which is used through the internet. The details and the complexity of the layers of the cloud are hidden from the users of the cloud by providing an application program interface. Cloud can store up data that is needed by the users through the internet. The cloud alludes to the hardware and also software provided by the data center. Cloud Computing is the foremost advancement in computer history. The NIST (‘National Institute of Standards and Technology’) in America has defined Cloud Computing as a service model for universal access with a minimum interaction with the service provider. Cloud Computing can as well be stated as an assembly of distributed along with a parallel computer system containing an interconnected resource. The Cloud Computing provides the resources as per the requirements of the consumer. It is well-known that for any organization or an industry the information is its major property. From the commencement of time itself, people save their information in a safe place or disparate sorts of storage devices. The storage devices are of many types and the most recent type is the cloud. Cloud Computing is understood as a virtual cloud with infinite possibilities and an infinite quantity of storage to provide service. The cloud can well be split grounded in the sort of computing or grounded on the kind of services it offers
Topics include, but are not limited to :
Please rename your filename to "Session name_yourname.pdf", e.g. "SS08_Rabie.pdf"
In recent years, Internet of Things (IoT) has been an industry buzzword which actually refers to uniquely identifiable objects or things and their virtual representations in an internet-like infrastructure. To maximize the social and economic benefit of the technology, issues of interoperability, data and service mash-ups, the development of open platforms, and standardization across technology layers have to be addressed. The main objective of this special session is to provide a platform for discussion on latest research work , and it surely provides a sample of the state-of-the-art research in both academia and industry.
Topics include, but are not limited to :
Please rename your filename to "Session name_yourname.pdf", e.g. "SS09_Rabie.pdf"
Prof. Baldev Singh E-mail: [email protected]
Dr. Nilam Choudhary E-mail: [email protected]
According to popular definition, Big Data, is data whose scale, diversity, and complexity require novel architecture, techniques, algorithms, and analytics to manage, monitor and to extract imperative hidden knowledge and relevant values from it. In other words, big data is also characterized by storage volume, variety (structured and unstructured data) velocity (high rate of changing) and veracity (uncertainty and incompleteness). It is worthy to solicit a sound role and contribution of analytics with the wide range of Big data perspective completely interdisciplinary in nature. Analytics encompasses a wide plethora of problems mainly arising in the context of Database, Data Warehousing and Data Mining research. Analytics research is focused to develop complex procedures running over large-scale, enormous in-size data repositories with the objective of extracting useful knowledge hidden in such repositories. One of the most significant application scenarios where Big Data arise is scientific computing, where, scientists and researchers produce huge amounts of data per-day via experiments (e.g., disciplines like high-energy physics, astronomy, biology, bio-medicine, urban and rural commercial applications and so forth). As extracting useful knowledge for decision making purposes from these massive, large-scale data repositories is almost impossible for actual DBMS-inspired analysis tools, therefore storage, retrieval, access and execution could be significant initiative for big data applications. Several new methodologies are expected towards possible migration of the storage of Big Data in heterogeneous and different-in-nature data sources (e.g., legacy systems, Web, scientific data repositories, sensor and stream databases, manufacturing process data base, social networks) into a structured and well-interpretable format for target data analytics. As a consequence, data-driven approaches, in biology, medicine, public policy, social sciences, and humanities, can replace the traditional hypothesis-driven research in technology applications. The proposed two days workshop is to shed light on these crucial trends and applications within a general research and practice framework to cater various emerging big data driven applications. The relevant new big data driven technologies like Hadoop Data Pipelines, Hbase and event schemes, Lambda Architecture, NoSQL could be introduced with their basic structure and applications..
Topics include, but are not limited to :
Dr. Rahul Deo Sah, Mukherjee University, Ranchi, India
Email: [email protected]
Dr. Jitendra Sethlani, SSSUTM, Sehore, India
Email: [email protected]
Technical Committee:
Please rename your filename to "Session name_yourname.pdf", e.g. "SS10_Rabie.pdf"
Approved 
Dr. Fady Medhat, University of York, UK. 
Eng. Karen Medhat , Egypt 
Dr. Abdelrahman Shaaban sayed 
Dr. Mohamed M. Dessouky 
Dr Hamed Daei Kasmaei, Tehran, Iran 
Dr Osamah Ibrahim Khalaf, Iraq 
Dr. Gautam Srivastava,Brandon, Canada 
Dr.Sudipta Das, W.B., India 
Dr Kingsley A. Ogudo, South Africa 
Dr.sujatha krishnamoorthy, Wenzhou kean university, China 
Prof. Baldev Singh 
Dr. Nilam Choudhary 
Dr. Rahul Deo Sah 
Dr. Jitendra Sethlani