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 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 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.

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 proceeding constitutes the thoroughly refereed proceedings of the 1st International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8, 2021. This event was organized by the group of Professors in Chennai. The Conference aims to provide the opportunities for informal conversations, have proven to be of great interest to other scientists and analysts employing these mathematical sciences in their professional work in business, industry, and government. The Conference continues to promote better understanding of the roles of modern applied mathematics, combinatorics, and computer science to acquaint the investigator in each of these areas with the various techniques and algorithms which are available to assist in his or her research. We selected 257 papers were carefully reviewed and selected from 741 submissions. The presentations covered multiple research fields like Computer Science, Artificial Intelligence, internet technology, smart health care etc., brought the discussion on how to shape optimization methods around human and social needs.

A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensing Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning