[PDF] 2018 Ieee Sensors Applications Symposium Sas eBook
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SAS provides a forum for sensor users and developers to meet and exchange information about novel sensors and emergent sensor applications The main purpose of SAS is to collaborate and network with scientists, engineers, researchers, developers, and end users through formal technical presentations, workshops, and informal interactions
SAS provides a forum for sensor users and developers to meet and exchange information about novel sensors and emergent sensor applications The main purpose of SAS is to collaborate and network with scientists, engineers, researchers, developers, and end users through formal technical presentations, workshops, and informal interactions.
This book includes the original, peer-reviewed research articles from the International Conference on Computational Intelligence and Computing (ICCIC 2020), held in September 2020 on a virtual platform jointly organized by SR Group of Institutions, Jhansi, India, IETE, Kolkata Centre, India, and Eureka Scientech Research Foundation, Kolkata India. It covers the latest research in image processing, computer vision and pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, artificial neural networks, fuzzy logic, evolutionary optimization, rough sets, web intelligence, intelligent agent technology, virtual reality, and visualization.
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
This book documents the state of the art in the field of ambient assisted living (AAL), highlighting technologies and services which aim to improve health and quality of life, while promoting active aging. The coverage is wide ranging, with topical sections devoted to human monitoring, smart living services, biomedical and robotic solutions, including different case studies and real-world examples where assistive technologies are successfully applied. The book comprises a selection of the best, refereed papers presented at the 10th Italian Forum on Ambient Assisted Living (ForItAAL), held in Ancona, Italy, in June 2019, which represents the annual event that involves the Ambient Assisted Living Italian Association and brought together researchers, technology teams, policy makers, and stake-holders. Readers will find that the expert contributions offer clear insights into the ways in which the most recent exciting advances may be expected to assist in addressing the needs of the elderly and those with chronic conditions.
Micro- and Nanotechnology Enabled Applications for Portable Miniaturized Analytical Systems outlines the basic principles of miniaturized analytical devices, such as spectrometric, separation, imaging and electrochemical miniaturized instruments. Concepts such as smartphone-enabled miniaturized detection systems and micro/nanomachines are also reviewed. Subsequent chapters explore the emerging application of these mobile devices for miniaturized analysis in various fields, including medicine and biomedicine, environmental chemistry, food chemistry, and forensic chemistry. This is an important reference source for materials scientists and engineers wanting to understand how miniaturization techniques are being used to create a range of efficient, sustainable electronic and optical devices. Miniaturization describes the concept of manufacturing increasingly smaller mechanical, optical, and electronic products and devices. These smaller instruments can be used to produce micro- and nanoscale components required for analytical procedures. A variety of micro/nanoscale materials have been synthesized and used in analytical procedures, such as sensing materials, sorbents, adsorbents, catalysts, and reactors. The miniaturization of analytical instruments can be applied to the different steps of analytical procedures, such as sample preparation, analytical separation, and detection, reducing the total cost of manufacturing the instruments and the needed reagents and organic solvents. Outlines how miniaturization techniques can be used to create new optical and electronic micro- and nanodevices Explores major application areas, including biomedicine, environmental science and security Assesses the major challenges of using miniaturization techniques
This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new directions and dimensions of future research work. We hope that readers find the volume interesting and valuable.
This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.
The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning, highlighting the use of predictive analytics of data to find timely solutions to real-time problems. It helps to identify applicable approaches in order to enhance, automate, and develop effective solutions to challenges in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address: Computational Intelligence in Image Processing Computational Intelligence in Healthcare Techniques for Natural Language Processing Computational Intelligence in Smart Cities The very diverse range of topics include AI and machine learning applications for In security: For using digital image processing for image fusion (face recognition, feature extraction, object detection as well tracking, moving object identification), for person re-identification for security purposes. In healthcare and medicine: For diagnosis and prediction of breast cancer, other cancers, diabetes, heart disease; for predicting susceptibility to COVID-19; for prediction of mood and anxiety disorders. In agriculture: For prediction of crop profit; for prediction of cropping patterns and recommendation for crop cultivation. In traffic science/smart cities: For understanding road scene images, for detection of traffic signs, for devising a fog-based intelligent traffic phase timing regulation system In language/speech/text: For automatic text summarization, for document indexing for unstructured data, for speech/accent recognition, for sound separation, for American Sign Language interpretation for nonsigners, for emotional recognition and analysis through speech, body postures with facial expressions, and other body movements (to improve the performance of virtual personal assistants / emotion recognition using speech, body postures with facial expressions and other body movements. This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare, image analysis, natural language processing, and smart cities. This includes academicians, people in industry, and students with engineering background with research interest in these areas. These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India. Together with Volume 2: Advances in Digital Transformation, this 2-volume set offers an abundacne of valuable information on emerging technologies in computational intelligence in information systems focusing on data science and artificial intelliegence.