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Cognitive Radio Networks (CRN) offer a solution to work with low interference in electromagnetically noisy environments such as in the proximity of TV/Radio stations or high voltage power lines in rural communities. However, the extra sensing requirement of CRN nodes results in high energy consumption. This lowers battery life, which is especially problematic in cognitive sensor networks. To counter...
In emergency situations such as catastrophes, the cellular infrastructure can be partially or totally damaged. For rescue teams to transmit and receive on-sight reports using live video and high quality images, the provisioning of seamless coverage with high data rates is inevitable. As cellular networks continue to evolve into more heterogeneous structures regarding the size of deployed cells, the...
Orthopaedic rehabilitation is a hot topic since the increasing age of the population in western countries implies that more and more people require invasive and inabilitating orthopaedic surgery, such as knee substitution, in order to recover physical functionality, autonomy and quality of life. Consequently, it's fundamental to test rehabilitation treatment able to increase efficacy and reliability...
This paper proposes a methodology to obtain a model for estimating relative densities of unknown substances contained in Improvised Explosive Devices (IEDs) using scanning technology and image processing techniques. We assert that this technique can provide teams involved in explosive threat detection relevant information pertaining to a range of possible types of explosive material contained within...
This research explores the Internet of Things and how it can be used to improve patient monitoring in modern healthcare to ensure the safety of pregnant women and their children. The concept of Internet of Things and connected healthcare will be put into context regarding improving the outcome of pregnancy for women with limited access to health care. Through our ongoing research project, we propose...
Analyzing pathological sounds is a simple test for understanding what is happening inside the body. This process of listening to the body is traditionally done using a Littmann stethoscope. Traditional stethoscopes are limited by inadequate sound amplification. Thus, if the sound of interest is of low amplitude, as is the case with biomedical sounds, detecting them is difficult. The electronic stethoscope...
This paper considers the problem of assigning safe shelters for temporary evacuation from an earthquake or a big fire. By studying the state-of-the-art theoretical research and the real situation in Japan, a system based on the latest service computing and optimization is proposed. It integrates a former approach for static assignment to residents (Zhao et al., Optimal Assignment of Wide-Area Evacuation...
In September 2009, the IEEE Board of Directors approved the new IEEE tagline — Advancing Technology for Humanity — as recommended by the IEEE Public Visibility Committee. Aligned with the IEEE tagline, IEEE Standards Association takes the initiative to address ethics in engineering design under “Ethically Aligned Design: A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous...
The needs of vulnerable populations have been addressed, traditionally, by an ecosystem of private and public agencies that rely on donations (goods, money and services) which they re-distribute based on their perception of what is needed and where. This approach lacks a comprehensive understanding of the demand side as well as the ability to coordinate between various suppliers of goods and services,...
Intracranial pressure (ICP) refers to the pressure within the skull and is known to have significant importance in revealing the compliance state of the brain. Due to the invasive nature of the ICP measurement, many researches have attempted noninvasive approaches of colletcing ICP information with limited clinical applications. In this paper, a wavelet based K-means clustering analysis has been conducted...
Wireless sensor networks (WSNs), part of the fast emerging Internet of Things will be playing vital role in transforming our lives. Potentially huge number of these sensors will soon be deployed to perform simple to complex tasks such as automatically controlling heat and light in smart homes to guiding autonomous vehicles and missiles. A big challenge in WSN is providing energy. Battery management...
Visible light communication (VLC) system has been widely used in underground mines, to support communication-blind areas, due to its superior benefits compared to Wi-Fi. These benefits include low energy consumption, wide frequency spectrum (430–790) THZ, higher data rates and small-sized infrastructure. Moreover, radio waves have poor underground communication capabilities, due to irregular data...
The Archimedes screw has been used as a pump since antiquity and has more recently been used to generate hydroelectric power in plants up to about 200 kW. Archimedes screw generators (ASGs) operate as run-of-river, have low environmental impact and are a uniquely efficient means of generating hydroelectricity at sites with very low head and moderate flow. Experience with ASGs in the developed world...
Spinal Cord Injury (SCI) is a lesion that occurs on the structure of the spine channel, and its origin can be traumatic or non traumatic. It has incidence in America between 24 to 54 cases per million per year. Because of many degrees of physical, psychological and social impact caused by SCI, several fronts of study are directed at treating, rehabilitating and reinsertion of this public in society...
In the present time, there has been a huge increase in large data repositories by corporations, governments, and healthcare organizations. These repositories provide opportunities to design/improve decision-making systems by mining trends and patterns from the data set (that can provide credible information) to improve customer service (e.g., in healthcare). As a result, while data sharing is essential,...
This paper proposes a robust low cost eHealth Remote Health Monitor (RHM) system intended to help facilitate the monitoring of patients physical health while they are at home, driving or relocated due to catastrophic emergencies. RHM consists of a front end mobile app supported by a backend cloud server, datacenter, and physical storage unit (local datacenter). The front end app mainly interacts with...
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