92 research outputs found
Rehabilitation Engineering
Population ageing has major consequences and implications in all areas of our daily life as well as other important aspects, such as economic growth, savings, investment and consumption, labour markets, pensions, property and care from one generation to another. Additionally, health and related care, family composition and life-style, housing and migration are also affected. Given the rapid increase in the aging of the population and the further increase that is expected in the coming years, an important problem that has to be faced is the corresponding increase in chronic illness, disabilities, and loss of functional independence endemic to the elderly (WHO 2008). For this reason, novel methods of rehabilitation and care management are urgently needed. This book covers many rehabilitation support systems and robots developed for upper limbs, lower limbs as well as visually impaired condition. Other than upper limbs, the lower limb research works are also discussed like motorized foot rest for electric powered wheelchair and standing assistance device
Advances on Mechanics, Design Engineering and Manufacturing III
This open access book gathers contributions presented at the International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020), held as a web conference on June 2–4, 2020. It reports on cutting-edge topics in product design and manufacturing, such as industrial methods for integrated product and process design; innovative design; and computer-aided design. Further topics covered include virtual simulation and reverse engineering; additive manufacturing; product manufacturing; engineering methods in medicine and education; representation techniques; and nautical, aeronautics and aerospace design and modeling. The book is organized into four main parts, reflecting the focus and primary themes of the conference. The contributions presented here not only provide researchers, engineers and experts in a range of industrial engineering subfields with extensive information to support their daily work; they are also intended to stimulate new research directions, advanced applications of the methods discussed and future interdisciplinary collaborations
Flexible Spare Core Placement in Torus Topology based NoCs and its validation on an FPGA
In the nano-scale era, Network-on-Chip (NoC) interconnection paradigm has gained importance to abide by the communication challenges in Chip Multi-Processors (CMPs). With increased integration density on CMPs, NoC components namely cores, routers, and links are susceptible to failures.
Therefore, to improve system reliability, there is a need for efficient fault-tolerant techniques that mitigate
permanent faults in NoC based CMPs. There exists several fault-tolerant techniques that address the
permanent faults in application cores while placing the spare cores onto NoC topologies. However, these
techniques are limited to Mesh topology based NoCs. There are few approaches that have realized the
fault-tolerant solutions on an FPGA, but the study on architectural aspects of NoC is limited. This paper
presents the flexible placement of spare core onto Torus topology-based NoC design by considering core
faults and validating it on an FPGA. In the first phase, a mathematical formulation based on Integer Linear
Programming (ILP) and meta-heuristic based Particle Swarm Optimization (PSO) have been proposed for the
placement of spare core. In the second phase, we have implemented NoC router addressing scheme, routing
algorithm, run-time fault injection model, and fault-tolerant placement of spare core onto Torus topology
using an FPGA. Experiments have been done by taking different multimedia and synthetic application
benchmarks. This has been done in both static and dynamic simulation environments followed by hardware
implementation. In the static simulation environment, the experimentations are carried out by scaling the
network size and router faults in the network. The results obtained from our approach outperform the
methods such as Fault-tolerant Spare Core Mapping (FSCM), Simulated Annealing (SA), and Genetic
Algorithm (GA) proposed in the literature. For the experiments carried out by scaling the network size,
our proposed methodology shows an average improvement of 18.83%, 4.55%, 12.12% in communication
cost over the approaches FSCM, SA, and GA, respectively. For the experiments carried out by scaling the
router faults in the network, our approach shows an improvement of 34.27%, 26.26%, and 30.41% over the
approaches FSCM, SA, and GA, respectively. For the dynamic simulations, our approach shows an average
improvement of 5.67%, 0.44%, and 3.69%, over the approaches FSCM, SA, and GA, respectively. In the
hardware implementation, our approach shows an average improvement of 5.38%, 7.45%, 27.10% in terms
of application runtime over the approaches SA, GA, and FSCM, respectively. This shows the superiority of
the proposed approach over the approaches presented in the literature.publishedVersio
Generalized averaged Gaussian quadrature and applications
A simple numerical method for constructing the optimal generalized averaged Gaussian quadrature formulas will be presented. These formulas exist in many cases in which real positive GaussKronrod formulas do not exist, and can be used as an adequate alternative in order to estimate the error of a Gaussian rule. We also investigate the conditions under which the optimal averaged Gaussian quadrature formulas and their truncated variants are internal
MS FT-2-2 7 Orthogonal polynomials and quadrature: Theory, computation, and applications
Quadrature rules find many applications in science and engineering. Their analysis is a classical area of applied mathematics and continues to attract considerable attention. This seminar brings together speakers with expertise in a large variety of quadrature rules. It is the aim of the seminar to provide an overview of recent developments in the analysis of quadrature rules. The computation of error estimates and novel applications also are described
Bio-Inspired Robotics
Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensory–motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field
- …