[Business Information System Muneesh Kumar Pdf 15
Addison Mauldin
With its emphasis on the managerial aspects of information systems, this book identifies the role of a manager in the process of planning, designing and developing IT infrastructure. It highlights the latest information in business systems and guides the reader on the various potent issues, their implications and possible solutions.
SPECIAL SESSION SS1 : DATA ANALYTICS AND SECURITY FOR SMART HEALTHCARE
Special Session Chair(s): Dr. Shabir Ahmad Parah, Mr. Mamoon Rashid
Session Objective:
Health data and its security are of pivotal importance in the era of smart health. It generally differs from other data in terms of structure, context, importance, usage, and sources from which it is collected. Smart healthcare makes use of various implementation technologies like Networking, Signal Processing, Communication, Big Data Analytics, etc. Although various algorithms, techniques, methods, applications, etc., are continuously developed to be used for the acquisition, storage, processing, analysis, security, authentication, privacy, standardization, and optimization of every process in the health sector. However, the dynamic nature of world health (like the present pandemic of COVID-19) necessitates the development of more effective solutions. To be smarter, the need of the hour is twofold. One, to apply data analytics on voluminous health data and to apply insights to improve quality of care while reducing medical costs and promote a better living by improving the present healthcare. Secondly, given the number of data breaches that are taking place around the world, it is equally important to develop better schemes for providing security to the health data ensures privacy, and support proper content authentication.
The purpose of this special session at the ICIIP-2021 conference is to bring together researchers, academicians, and other stakeholders from various fields and disciplines and provide them an independent platform to exchange information on their researches, ideas, and findings of healthcare data and its analytics. It is also aimed to encourage ideas about the development of new security solutions for health data so that smart healthcare can complement conventional healthcare in a better way.
Topics and Areas of Interest (not limited up to following)
Health data and analysis, Issues with health data processing, Pervasive Healthcare Information Systems and Services, Protection and security of personal health data Electronic health records and standards, Personal Health records, Information Systems for smart healthcare, IoT applications for smart healthcare, Medical Imaging Systems, Medical Image Security and authentication, Health care solutions for specially-abled, Health Informatics and Process management, Decision Support System in healthcare, Smart health Applications, Authentication of healthcare data (e-health/m-health/telemedicine), Access control for smart health, Cryptography and lightweight-cryptography for smart health systems, Watermarking and steganography for health data, Secret sharing for EHR/PHR security, Security for e-health and m-health.
Contact:
Dr. Shabir Ahmad Parah
Department of Electronics and IT,
University of Kashmir, Sinagar, India
Email: shabi...@gmail.com, shabi...@kashmiruniversity.ac.in
SPECIAL SESSION SS2 : RECENT TRENDS IN INFORMATION TECHNOLOGY
Special Session Chair(s): Dr Laxmi Ahuja
Session Objective:
Technology is an ever-changing playing field and it is indeed important for organizations to remain be at the helm of innovation. All the organizations are embracing emerging technologies to remain competitive. To help meet the demands of a technology-enabled consumer base, businesses and solution providers are chasing Digitalization, thus it is a multiplying force in across the globe right now. As rightly said, "Journey to digitization has begun, it is a matter of accelerating the pace at which it is happening", by R. Chandrashekhar, former president of NASSCOM. Typically any business today has a high dependence on a robust, web enabled, and flexible information & communication infrastructure to nurture corporate agility and productivity. Digital platforms are providing tremendous opportunities to organizations to interact with all stakeholders be it the government, institutions or businesses. As digital technologies offer new ways to establish relationships, connect, collaborate, conduct business and build bridges between people it also touches the core of all business functions and even transforms the way in which organizations are managed.
Topics and Areas of Interest (not limited up to following)
Analytics, Artificial Intelligence, Blockchain Technology, Cloud Computing, Cyber Security and Cyber Warfare, Digital Entrepreneurs, Digital Marketing, E-Gov., E-Comm., E-learning, Information Security & Risk Management, IT Enabled Business Processes, IT Enabled Services, IT in Agriculture, Manufacturing & Service Sector, Knowledge Management, Mobile Computing & Networking, Online Social Networks, Project Management, Quality Management.
Contact: Contact:
Dr. Laxmi Ahuja
Dy.Director,AIIT
Amity University
Noida Sector-125, India
Email: laxmiah...@gmail.com
SPECIAL SESSION SS3 : DEEP LEARNING METHODS APPLIED TO IMAGE PROCESSING & COMPUTER VISION
Special Session Chair(s):Dr. Ashwani Kumar, Dr. S.Sai Satyanarayana Reddy
Session Objective:
Deep learning & machine learning will help people to manage the increasingly complex world we are forced to navigate. It will empower individuals to not be overwhelmed. AI minimizes human error in many contexts. AI is more than robot soldiers, autonomous cars or digital assistants with quirky personalities. One area in which artificial intelligence will become more sophisticated will be in its ability to enrich the quality of life so that the current age of workaholism will transition into a society where leisure, the arts, entertainment and culture are able to enhance the well-being of society in developed countries and solve issues of water production, food growth/distribution and basic health provision in developing countries. The use of AI & DL systems will continue to expand, with the greatest growth coming from systems that augment and complement human capabilities and decision-making. AI will enhance search to create interactive reasoning and analytical systems. Now a day's machine learning have been widely adopted and introduced in the areas of engineering, manufacturing, weather monitoring, and transportation.
The objective of this special session is to concentrate on all aspects and future research directions related to Deep learning neural networks applied to image processing and computer vision based methods. We encourage submissions proposing advanced and novel AI techniques which exploit machine learning and DL methods for a wide variety of MI applications.
Topics and Areas of Interest (not limited up to following)
ML & DL medical image processing, Segmentation, grouping and shape, representation, Deep learning and graph-based approaches, Video-based point cloud coding, Advanced algorithms of ML for biomedical data processing (e.g., deep learning, reinforcement learning and Statistical learning), Pattern Recognition: detection, classification, indexing, Training with new loss functions, Proposing new techniques for intra/inter prediction Rate distortion optimization and entropy coding.
Contact:
Dr. Ashwani Kumar
HOD, CSE (AI & ML)
Department of CSE,
Sreyas Instittute of Engineering and Technology, Telangana, India.
Email: ashwani....@gmail.com
SPECIAL SESSION SS4 : BIG DATA, MACHINE LEARNING, DEEP LEARNING, IOT AND SECURITY
Special Session Chair(s): Dr. Devendra Kumar
Session Objective:
The Special session on Machine Learning, Deep Learning and IoT Applications aims to bring together researcher from both academia and industry to participate and present their work related to various aspects of Machine learning, Deep Learning and IoT Applications. There is a increasing number of internet-connected sensors all over the place which are integrated into diversity of mechanical, domestic and automobile devices i.e. trains, PDAs, Smart Phone, Cars, and even civil constructions. As a result, huge amount of data is being produced by the use of sensors and eventually there is a high need of understanding different patterns of such data. Abstraction of data and produce useful information is the biggest challenge that's starting to be met using the pattern-matching and comparing capabilities of Machine Learning and Deep Learning. Academic and Industry researchers are required to feed data of IoT sensors into machine-learning models. Further, the resulting information is used to perceive about how these sensors operate and how related products and services can be enhanced in terms of operations and customer experiences.
Topics and Areas of Interest (not limited up to following):
Algorithms and Systems for Big Data, Big Data Classification Techniques, Big Data Clustering Algorithms, Big Data Mining and Security Intelligence, Big Data Mining in the Cloud, Big Data Search Architectures, Big Data Search Scalability and Efficiency, Mining Big Data in Real Time, Mining Social-Network Graphs, Mobility and Big Data, Multimedia and Multi-Structured Data, Real-time machine learning, Automated video surveillance and tracking, Machine learning and/or Deep learning models tailored to sensor data, Data extraction from sensor networks, Application in various areas like e-health, smart city, intelligent transportation system, Feature based Engineering with a focus on sensor data features, Data/Information Security.