This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-...
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ISBN:
(数字)9789811556166
ISBN:
(纸本)9789811556159
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
How to educate future engineers, so that they acquired new skills and competences to become developers of Cyber Physical Systems (CPS)? The paper demonstrates a curriculum framework that was developed and successfully...
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How to educate future engineers, so that they acquired new skills and competences to become developers of Cyber Physical Systems (CPS)? The paper demonstrates a curriculum framework that was developed and successfully implemented some years ago, as an outcome of two international projects undertaken by a consortium of the European and American universities. The projects had focused on special category of CPS - Real-Time CPS. Examples of laboratory environment supporting education in the field of Real Time CPS are given in the paper.
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-...
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ISBN:
(数字)9789811556197
ISBN:
(纸本)9789811556180
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
We are currently living in societies that are profoundly concerned about the impact of current and potential technologies on our present and future lives. How is the future of Artificial Intelligence (AI) impact perce...
We are currently living in societies that are profoundly concerned about the impact of current and potential technologies on our present and future lives. How is the future of Artificial Intelligence (AI) impact perceived in the general population of the European Union? How are its effects evaluated as regards the job markets? These are just two questions that require, from the general public, an exercise of information and also an exercise of the imagination. A survey is a useful instrument to collect these public perceptions for in-depth analysis of the respective societies. This paper is based on a secondary study of a 2021 Eurobarometer survey that provides insights into the perceived future impact of AI and the social sources of its variability. It reveals evolving aspects about AI’s perception that help us better understand ourselves. The identified trends, relationships, as well as the lack of some expected correlations, offer useful information for various stakeholders interested in the social life of AI.
This paper describes the design process and the steps involved in the implementation of a fuzzy logic-based controller for autonomous navigation of an educational robot called Qbot2. The differential-driven robot is e...
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This paper describes the design process and the steps involved in the implementation of a fuzzy logic-based controller for autonomous navigation of an educational robot called Qbot2. The differential-driven robot is equipped with three ultrasonic sensors (SRF-04) mounted on the front bumper and DC motors with built-in encoders and current sensors. The controller takes the inputs from three ultrasonic sensors and generates the speed commands to avoid any obstacle in its path. PCB is designed to process all the data from the sensors and direct the signal to the motors via motor driver circuits. The low-level implementation of the hurdle avoidance controller is implemented using an inexpensive Arduino UNO in real-time. The controller performance is validated through an experimental run. The designed platform can be used to implement various fuzzy inference systems in real-time and hence can be utilized as laboratory work for testing soft computing algorithms on mobile robotics.
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