Special Track 1 : Unlocking a New Era of Human Progress with Smart Technologies and IOT
- Praveen Malik (Professor, Lovely Professional University, Phagwara, Punjab, India)
- Sumit Agrawal (Senior Engineer, Multimedia Systems R&D, Santa Clara, CA, USA)
- Arshi Naim (King Khalid University, Saudi Arabia)
Smart technologies and IoT can be used to help address a range of humanitarian issues, including climate change, poverty, health and food insecurity, natural disasters, and access to education. By providing timely access to data and insights, IoT can help humanitarian organizations identify needs and respond more quickly and effectively to crises. For example, smart sensors, drones, and wearables can be used to monitor and collect data on air quality, water levels, and other environmental factors, helping to inform and guide decisions related to climate change mitigation and adaptation. IoT can also be used to improve access to healthcare and social services in developing and remote communities, while smart technology can be used to provide educational resources and opportunities to disadvantaged individuals. Ultimately, the use of smart technologies and IoT can help to improve the quality of life for people living in difficult and challenging conditions
Special Track 2 : Integrated or hybrid system technologies for sustainable power applications to enable smart living
- Dr.Madhuri Bayya, (Faculty, BITS-WILP, Rajasthan, India)
- Dr.Parameswarn Chidamparam (Associate Professor, BITS-Pilani WILP, Rajasthan, India)
The term sustainable in the context of energy or power consumption is defined as meeting energy needs of the present without compromising the ability of future generation to meet their own needs. Addressing this aspect various environmental as well as social solutions are being sought after. In context of sustainable power applications, renewable energy has emerged as one of the most effective solutions. The renewable energy applications have slowly penetrated to power generation, to sustainable transportation solutions to sustainable home appliances etc. But due to their intermittent nature the researchers and industry partners have started looking towards integrated systems which are a combination of sources as effective, sustainable and efficient solutions. Integrated systems or hybrid systems have given rise to a variety of solutions. For example, microgrids in power generation and storage aspects, hybrid electric vehicles for sustainable transportation and so on.
The proposed session invites papers on different aspects integrated or hybrid system technologies for sustainable solutions. The integration has different aspects such as integration of sources for effective output (in stationary applications such as microgrids and hybrid vehicles for vehicles), control strategies, power electronic converters implemented for integration, smart devices, measurement systems, effective energy storage systems, automotive applications etc to name a few. The authors proposing to submit papers can focus on any aspect of integrated or hybrid systems. The aim is to discuss and create awareness of integrated solutions in different applications and create a possible synergy with know-how from different application areas.
Special Track 3 - AI-CPS-DI: Artificial Intelligence-driven Cyber-Physical Systems (CPS) for Secure & Reliable Digital Infrastructure
- Dr. Ketan Kotecha (Director, Symbiosis Institute of Technology, Pune)
- Dr. Harsh S. Dhiman (Assistant Professor, Symbiosis Institute of Technology, Pune)
Background: Cyber-Physical Systems (CPS) are integrated systems that combine physical components with computational and networking elements. These systems are designed to interact with the physical world/assets and enable seamless integration between the cyber and physical infrastructure. When it comes to securing and ensuring the reliability of digital infrastructure, CPS play a vital role. An artificial intelligence (AI)-driven cyber-physical system (CPS) refers to a system that combines the potential capabilities of AI technologies with the integration of physical components/assets and digital infrastructure. It leverages AI algorithms and techniques to enhance the monitoring, decision-making, and control processes.
In an AI-driven CPS, AI technologies, such as machine learning, deep learning, and Big-data analytics, are deployed to analyze large amounts of data collected from different sensors and other sources within the physical environment/space. The AI algorithms can detect meaningful patterns, make predictions, and derive insights from the data, enabling intelligent decision-making and control actions for a better world.
AI-driven Cyber-Physical Systems (CPS) for secure and reliable digital infrastructure can also have significant humanitarian benefits. Here are some ways in which AI-CPS can address humanitarian aspects for secure and reliable digital infrastructure - Disaster Management, Smart cities & Urban planning, Healthcare delivery, Humanitarian Assistance & Relief, Infrastructure development, Access to Information & Communication
Objectives and Scope of the special issue
Here are some key aspects of CPS for secure and reliable digital infrastructure:
- Security Measures: CPS for digital infrastructure incorporate various security measures to protect against cyber threats and attacks. This includes robust authentication and access control mechanisms, encryption techniques, intrusion detection and prevention systems, and secure communication protocols. By implementing these security measures at both the cyber and physical layers, CPS can mitigate risks and safeguard critical infrastructure.
- Resilience and Fault Tolerance: CPS are designed to be resilient and fault-tolerant, allowing them to maintain operation despite failures or disruptions. Redundancy, fault detection, and error recovery mechanisms are built into the system architecture to ensure continuity and reliability. These features are particularly important for digital infrastructure, as downtime or disruption can have significant consequences.
- Real-time Monitoring and Control: CPS enable real-time monitoring and control of digital infrastructure, providing operators with timely information and control over various components. Through sensor networks, data can be collected from the physical environment and processed in real-time to detect anomalies or potential security breaches.
- Safety Considerations/Regulations: Besides security, CPS focusses on safety aspects of the digital infrastructure. They incorporate safety measures to ensure the physical well-being of individuals and prevent accidents. For example, in an industrial setting, CPS may include safety sensors, emergency shutdown systems, and automated response mechanisms to mitigate potential hazards.
- System-wide Integration and Coordination: CPS integrate various subsystems and components into a coherent and coordinated system. This integration allows for centralized monitoring, management, and control, enabling a holistic view of the infrastructure. By coordinating different elements of the digital infrastructure, CPS can optimize performance, identify vulnerabilities, and respond to incidents more effectively.
- Continuous Monitoring and Adaptation: CPS for digital infrastructure often employ machine learning and artificial intelligence techniques to monitor the system's behaviour, detect patterns, and adapt to changing conditions. This adaptive capability allows the system to respond to evolving threats and optimize its performance based on real-time data.
Special Track 4 : 6G Wireless Systems Future Vision with Machine Learning (ML) & Artificial Intelligence (AI) Towards Healthcare, Education, Sustainability and Environment
- Dr. Arun Agarwal (Assistant Professor in the Department of ECE, ITER, Siksha 'O' Anusandhan Deemed to be University, Jagamara, Odisha, India.)
6G wireless standards require massive global collaborations between governments, research institutions, telecom giants, semiconductor makers, and hardware and software developers. Work on 6G began in 2019 and billions of dollars have already been pledged worldwide to support 6G research and innovations, according to the Next Generation Mobile Networks (NGMN) Alliance, an industry consortium. Artificial intelligence (AI), on the other hand, is playing an increasingly important role in automating systems, increasing efficiency, and ensuring high dependability in complicated activities. One of the potential benefits of 6G is in Health care. 6G could enhance telemedicine capabilities, allowing for real-time high-definition video consultations and remote surgeries with minimal latency. It could facilitate the use of advanced medical devices and wearable‟s for continuous health monitoring, enabling early disease detection and personalized treatment. Additionally, 6G networks could support the rapid transmission of large medical datasets for research and collaboration among healthcare professionals.
5G wireless communications technology is being launched, with many smart applications being integrated. However, 5G specifications meagre the requirements of new emerging technologies forcefully. These include data rate, capacity, latency, reliability, resources sharing, and energy/bit. To meet these challenging demands, research is focusing on 6G wireless communications enabling different technologies and emerging new applications. According to the ITU-T, the three most important driving characteristics linked to the next decade of lifestyle and societal changes, impacting the design and outlook of 6G networks, are: 1) High-Fidelity Holographic Society; 2) Connectivity for All Things; and 3) Time Sensitive/Time Engineered Applications
6G could revolutionize education by enabling immersive virtual reality (VR) and augmented reality (AR) experiences in remote learning environments. Students could engage in interactive, real-time collaborations with teachers and peers, accessing high-quality educational resources from anywhere. 6G's high bandwidth and low latency could support advanced online learning platforms, personalized tutoring systems, and adaptive learning technologies.
6G's ultra-reliable and low-latency communication could significantly improve disaster response and management. Emergency services could benefit from real-time data transmission, enabling better coordination and situational awareness during crises. Drones, robots, and autonomous systems could operate seamlessly over 6G networks, assisting in search and rescue missions, damage assessment, and recovery operations.
6G could play a crucial role in monitoring and managing environmental factors. It could enable a vast network of sensors and devices for real-time data collection on air quality, water pollution, and climate conditions. This information could be used to develop more accurate models and simulations for climate change analysis and resource management. Additionally, 6G's energy- efficient technologies could reduce the carbon footprint of wireless networks themselves.