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Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.
Microgrids have recently emerged as the building block of a smart grid, combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions. At the same time, rapid advancements in sensor and metering technologies, wireless and network communication, as well as cloud and fog computing are leading to the collection and accumulation of large amounts of data (e.g., device status data, energy generation data, consumption data). The application of big data analysis techniques (e.g., forecasting, classification, clustering) on such data can optimize the power generatio...
This book focuses on improving orthopaedic surgery in low and middle-income countries (LMIC). Over the last 35 years, orthopaedic surgeons have made multiple innovations locally in Pakistan that have never come to the surface. Many surgeons in our world work in a resource-constrained setting and have to use frugal innovations to work their way out. These are the ground realities of working in a LMIC, which will be shared globally through this book. Starting from seeing patients in the clinic and to the operating room, very high standards have been set in Pakistan for others to follow and replicate within their own resources. This book will be a narrative of how these innovations were achieved and the way forward considering the resource constraints that are present in low-middle-income countries compared to Western countries.
The book focuses on novel sensor materials and their environmental and healthcare applications, such as NO2 detection, toxic gas and biosensing, hydrazine determination, glucose sensing and the detection of toxins and pollutants on surfaces. Materials covered include catalytic nanomaterials, metal oxides, perovskites, zeolites, spinels, graphene-based gas sensors, CNT/Ni nanocomposites, glucose biosensors, single and multi-layered stacked MXenes, black phosphorus, transition metal dichalcogenides and P3OT thin films. Keywords: Toxic Gas Sensors, Biosensors, Nitrogen Dioxide Detection, Hydrazine Determination, Glucose Sensing, Catalytic Nanomaterials, Metal Oxides, Perovskites, Zeolites, Spinels, Graphene-based Gas Sensors, CNT/Ni Nanocomposites, Mxenes, Black Phosphorus, Transition Metal Dichalcogenides, P3OT Thin Films.
This book is the first scientific study to focus on awards in architecture and the built environment investigating their exponential growth since the 1980s. The celebration of excellence in architecture and related fields remains a phenomenon on which there is strangely little scientific scrutiny. What is to be understood from the plethora of award-winning projects, award-winning buildings and awarded professional practices in the built environment, year after year? Glossy images partake in an intense ballet at every local, regional, national or international award ceremony and they are meant to embody proofs of architectural excellence. However, it is necessary to take a critical distance t...
This book contains extended and revised versions of the best papers presented at the 25th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2017, held in Abu Dhabi, United Arab Emirates, in August 2017. The 11 papers included in this book were carefully reviewed and selected from the 33 full papers presented at the conference. The papers cover a wide range of topics in VLSI technology and advanced research. They address the latest scientific and industrial results and developments as well as future trends in the field of System-on-Chip (SoC) Design. On the occasion of the silver jubilee of the VLSI-SoC conference series the book also includes a special chapter that presents the history of the VLSI-SoC series of conferences and its relation with VLSI-SoC evolution since the early 80s up to the present.
Under ongoing climate change, natural and cultivated habitats of major food crops are being continuously disturbed. Such condition accelerates to impose stress effects like abiotic and biotic stressors. Drought, salinity, flood, cold, heat, heavy metals, metalloids, oxidants, irradiation etc. are important abiotic stresses; and diseases and infections caused by plant pathogens viz. fungal agents, bacteria and viruses are major biotic stresses. As a result, these harsh environments affect crop productivity and its biology in multiple complex paradigms. As stresses become the limiting factors for agricultural productivity and exert detrimental role on growth and yield of the crops, scientists ...