2019 Moratuwa Engineering Research Conference Mercon
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2019 Moratuwa Engineering Research Conference (MERCon) by IEEE Staff Pdf
MERCon 2019 aims to discuss the research and development in multidisciplinary engineering fields such as electrical and electronics engineering, computer engineering, material and chemical engineering, mechanical engineering, robotics, automation and control, textile and clothing engineering, civil and structural engineering, environmental engineering, Transportation engineering and management of technology
ICSBE 2020 by Ranjith Dissanayake,Priyan Mendis,Kolita Weerasekera,Sudhira De Silva,Shiromal Fernando Pdf
This book highlights the latest knowledge and innovations in the field of civil engineering and construction industry striving for a sustainable built environment. It includes recent innovative findings from the proceedings of the 11th ICSBE 2020 under the themes of sustainable tall buildings, sustainable bridge construction and maintenance, waste in construction industry, sustainable manufacturing and recycling, disaster risk reduction for sustainable built environment, green innovations and entrepreneurship, sustainable water management in developing countries, water pollution and CKDu, sustainable urban environment and social well-being, and many greener and sustainable resource and energy-efficient innovative research findings.
Multi-Hazard Early Warning and Disaster Risks by Dilanthi Amaratunga,Richard Haigh,Nuwan Dias Pdf
This book presents a collection of papers under the theme of multi-hazard early warning and disaster risks. These were selected from the presentations made at the International Symposium on Tsunami and Multi-Hazard Risks, Early Warning and Community Awareness in supporting implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030. This conference aimed to recognize achievements and to highlight work that still needs to be carried out. The conference promoted collaboration among academia, research institutions and disaster management offices, and further encouraged multidisciplinary and multi-sectoral interaction This International Symposium on Multi-Hazard Early Warning and Disaster Risk Reduction provided an important opportunity to reflect upon our progress to date in tackling disaster risk, but also to consider some of the challenges and opportunities that lay ahead of us. A particular focus of this event wasMulti-Hazard Early Warning. During the negotiations for the Sendai Framework, countries and partners highlighted the need to: 1. Continue to invest in, develop, maintain and strengthen people-centred, end-to-end early warning systems; 2. Promote the application of simple and low cost early warning equipment and facilities; 3. Broaden the dissemination channels for early warning information to facilitate early action. Countries also called for the further development of and investment in effective, nationally compatible, regional multi-hazard early warning mechanisms. To address these needs, global Target (g) of the Sendai Framework was adopted, namely to “substantially increase the availability of and access to multi-hazard early warning systems and disaster risk information and assessments to the people by 2030”. As illustrated by recent events in Indonesia, it is also vital to address the challenge of cascading hazards that pose a tsunami risk, and the importance of linking tsunami early warning to a multi-hazard environment. However, moving towards a multi-hazard environment is complex and poses many challenges but can bring significant benefits in terms of efficiencies and also in recognising the links between hazards, such as cascading threats. We very much hope that this book will provide an important platform to address these and other challenges in addressing disaster risk, as well as supporting implementation of the Sendai Framework for Disaster Risk Reduction
ICSECM 2019 by Ranjith Dissanayake,Priyan Mendis,Kolita Weerasekera,Sudhira De Silva,Shiromal Fernando Pdf
This book highlights current research and developments in the area of Structural Engineering and Construction Management, which are important disciplines in Civil Engineering. It covers the following topics and categories of Structural Engineering. The main chapters/sections of the proceedings are Structural and Solid Mechanics, Construction Materials, Systems and Management, Loading Effects, Construction Safety, Architecture & Architectural Engineering, Coastal Engineering, Foundation engineering, Materials, Sustainability. The content of this book provides necessary knowledge for construction management practices, new tools and technologies on local and global levels in civil engineering which can mitigate the negative effects of built environment.
12th International Conference on Structural Engineering and Construction Management by Ranjith Dissanayake,Priyan Mendis,Kolita Weerasekera,Sudhira De Silva,Shiromal Fernando,Chaminda Konthesingha Pdf
This book highlights advances in the fields of civil engineering and construction industry with a particular focus on Structural Engineering and Construction Management. This book consists of top quality and innovative research papers selected from the proceedings of the 12th ICSECM 2021 under the themes of Innovations in Building Materials, Construction Management, Tall buildings, Concrete Technology and High Performance concrete, Geotechnical Engineering, Water and Waste Water Treatment, CKDu problem in Sri Lanka, Structural Health Monitoring & Design of Resistive Structures, Disaster Risk Reduction and Resilience in the Built Environment, Fibre Reinforced Polymer, Life Cycle Assessment of Buildings and Fire Safety Engineering.
2020 Moratuwa Engineering Research Conference (MERCon) by IEEE Staff Pdf
MERCon 2020 aims to discuss the research and development in multidisciplinary engineering fields such as electrical and computer engineering, material and chemical engineering, mechanical engineering, robotics, automation and control, textile and clothing engineering, civil and structural engineering, environmental engineering, transportation engineering, and management of technology
Assistive Technology Intervention in Healthcare by Shruti Jain,Sudip Paul Pdf
Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics. It aims to create awareness about disability reduction and recovery of accidental disability with the help of various rehabilitative systems. Novel technologies in disability treatment, management and assistance, including healthcare devices and their utility from home to hospital, are described. The book deals with simulation, modeling, measurement, control, analysis, information extraction and monitoring of physiological data in clinical medicine and biology. Features Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field Explains machine learning–based approaches to improvement in health engineering areas Reviews the IoT, cloud computing and data analytics in healthcare informatics Discusses modeling and simulations in the design of biomedical equipment Explores monitoring of physiological data This book is aimed at researchers and graduate students in biomedical engineering, clinical engineering and bioinformatics.
Machine Vision for Industry 4.0 by Roshani Raut,Salahddine Krit,Prasenjit Chatterjee Pdf
This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.
Sustainable Energy and Technological Advancements by Gayadhar Panda,Hassan Haes Alhelou,Ritula Thakur Pdf
This book contains selected papers presented at Second International Symposium on Sustainable Energy and Technological Advancements (ISSETA 2023), organized by the Department of Electrical Engineering, NIT Meghalaya, Shillong, India, during February 24–25, 2023. The topics covered in the book are the cutting-edge research involved in sustainable energy technologies, smart building technology, integration and application of multiple energy sources; advanced power converter topologies and their modulation techniques; and information and communication technologies for smart micro-grids.
Deep Learning Techniques for Biomedical and Health Informatics by Basant Agarwal,Valentina Emilia Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma Pdf
Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis
Databases and Information Systems by Tarmo Robal,Hele-Mai Haav,Jaan Penjam,Raimundas Matulevičius Pdf
This book constitutes the refereed proceedings of the 14th International Baltic Conference on Databases and Information Systems, DB&IS 2020, held in Tallinn, Estonia, in June 2020.* The 22 revised papers presented were carefully reviewed and selected from 52 submissions. The papers are centered around topics like architectures and quality of information systems, artificial intelligence in information systems, data and knowledge engineering, enterprise and information systems engineering, security of information systems. *The conference was held virtully due to the COVID-19 pandemic.
Smart Agriculture by Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh Pdf
This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
ICSBE 2022 by Ranjith Dissanayake,Priyan Mendis,Kolita Weerasekera,Sudhira De Silva,Shiromal Fernando,Chaminda Konthesingha,Pradeep Gajanayake Pdf
This book highlights the latest knowledge and innovations in the fields of civil engineering and construction industry striving for a sustainable built environment. It consists of high quality and innovative research findings selected from the proceedings of the 13th ICSBE 2022 under the themes of sustainable construction, urban green infrastructure and planning, rainwater harvesting and water conservation, high-performance concrete, indoor environmental quality and indoor plants, wind and hydro-power energy, waste and wastewater management for enhanced sustainability, impacts of climate change, carbon footprint, global climate model and landscaping, material flows and industrial ecology, sustainable materials, etc.
Emerging Technologies for Healthcare by Monika Mangla,Nonita Sharma,Poonam Garg,Vaishali Wadhwa,Thirunavukkarasu K,Shahnawaz Khan Pdf
“Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.
Recent Innovations in Computing by Pradeep Kumar Singh,Yashwant Singh,Maheshkumar H. Kolekar,Arpan Kumar Kar,Paulo J. S. Gonçalves Pdf
This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on May 8–9, 2021, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
