The F&A Methodology and Its Experimental Validation on a Real-Life Parallel Processing Database System

2012 ◽  
Author(s):  
Ladjel Bellatreche ◽  
Soumia Benkrid ◽  
Alain Crolotte ◽  
Alfredo Cuzzocrea ◽  
Ahmad Ghazal
Keyword(s):  
Parallel Processing ◽  
Experimental Validation ◽  
Real Life ◽  
Database System

scholarly journals Design of a Wearable Eye-Movement Detection System Based on Electrooculography Signals and Its Experimental Validation

Biosensors ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 343
Author(s):  
Chin-Teng Lin ◽  
Wei-Ling Jiang ◽  
Sheng-Fu Chen ◽  
Kuan-Chih Huang ◽  
Lun-De Liao
Keyword(s):  
Eye Movement ◽  
Experimental Validation ◽  
Hardware Implementation ◽  
Detection System ◽  
Real Life ◽  
People With Disabilities ◽  
Research Area ◽  
General Purpose ◽  
Classification Algorithm ◽  
Human Computer Interface

In the assistive research area, human–computer interface (HCI) technology is used to help people with disabilities by conveying their intentions and thoughts to the outside world. Many HCI systems based on eye movement have been proposed to assist people with disabilities. However, due to the complexity of the necessary algorithms and the difficulty of hardware implementation, there are few general-purpose designs that consider practicality and stability in real life. Therefore, to solve these limitations and problems, an HCI system based on electrooculography (EOG) is proposed in this study. The proposed classification algorithm provides eye-state detection, including the fixation, saccade, and blinking states. Moreover, this algorithm can distinguish among ten kinds of saccade movements (i.e., up, down, left, right, farther left, farther right, up-left, down-left, up-right, and down-right). In addition, we developed an HCI system based on an eye-movement classification algorithm. This system provides an eye-dialing interface that can be used to improve the lives of people with disabilities. The results illustrate the good performance of the proposed classification algorithm. Moreover, the EOG-based system, which can detect ten different eye-movement features, can be utilized in real-life applications.

scholarly journals Experimental Validation of a Coexistence Model of IEEE 802.15.4 and IEEE 802.11b/g Networks

2010 ◽  
Vol 6 (1) ◽  
pp. 581081 ◽  
Author(s):  
Wei Yuan ◽  
Xiangyu Wang ◽  
Jean-Paul M. G. Linnartz ◽  
Ignas G. M. M. Niemegeers
Keyword(s):  
Experimental Validation ◽  
Ieee 802.15.4 ◽  
Local Area Networks ◽  
Real Life ◽  
Local Area ◽  
Wireless Local Area Networks ◽  
Wireless Sensor ◽  
Ieee 802.11B ◽  
Ism Band ◽  
Coexistence Issues

As IEEE 802.15.4 Wireless Sensor Networks (WSNs) and IEEE 802.11b/g Wireless Local Area Networks (WLANs) are often collocated, coexistence issues arise as these networks share the same 2.4 GHz Industrial, Scientific, and Medical (ISM) band. Consequently, their performance may degrade. We have proposed a coexistence model of IEEE 802.15.4 and IEEE 802.11b/g networks, which addresses their coexistence behavior and explains their coexistence performance. As an extension of the previous work, a compact testbed was developed and experiments on the coexistence issues between these networks were conducted. The experiments not only validated the theoretical model but also provided more information and insights about the coexistence issues in the real-life environment.

Benchmarking Deep Learning for On-Board Space Applications

2021 ◽  
Vol 13 (19) ◽  
pp. 3981
Author(s):  
Maciej Ziaja ◽  
Piotr Bosowski ◽  
Michal Myller ◽  
Grzegorz Gajoch ◽  
Michal Gumiela ◽  
...  
Keyword(s):  
Deep Learning ◽  
Experimental Validation ◽  
State Of The Art ◽  
Learning Algorithms ◽  
Real Life ◽  
Space Applications ◽  
Deep Model ◽  
Learning Techniques ◽  
Standard Tool ◽  
Benchmark Datasets

Benchmarking deep learning algorithms before deploying them in hardware-constrained execution environments, such as imaging satellites, is pivotal in real-life applications. Although a thorough and consistent benchmarking procedure can allow us to estimate the expected operational abilities of the underlying deep model, this topic remains under-researched. This paper tackles this issue and presents an end-to-end benchmarking approach for quantifying the abilities of deep learning algorithms in virtually any kind of on-board space applications. The experimental validation, performed over several state-of-the-art deep models and benchmark datasets, showed that different deep learning techniques may be effectively benchmarked using the standardized approach, which delivers quantifiable performance measures and is highly configurable. We believe that such benchmarking is crucial in delivering ready-to-use on-board artificial intelligence in emerging space applications and should become a standard tool in the deployment chain.

scholarly journals Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning

2021 ◽  
Author(s):  
Daniela Magallán-Ramirez ◽  
Areli Rodriguez-Tirado ◽  
Jorge David Martínez-Aguilar ◽  
Carlos Francisco Moreno-García ◽  
David Balderas ◽  
...  
Keyword(s):  
Computer Vision ◽  
Path Planning ◽  
Camera Calibration ◽  
Experimental Validation ◽  
Mechanical Characteristics ◽  
Scientific Literature ◽  
Real Life ◽  
Nao Robot ◽  
Maze Navigation ◽  
Robot Communication

Maze navigation using one or more robots has become a recurring challenge in scientific literature and real life practice, with fleets having to find faster and better ways to navigate environments such as a travel hub (e.g. airports) or to evacuate a disaster zone. Many methods have been used to solve this issue, including the implementation of a variety of sensors and other signal receiving systems. Most interestingly, camera-based techniques have increasingly become more popular in this kind of applications, given their robustness and scalability. In this paper, we have implemented an end-to-end strategy to address this scenario, allowing a robot to solve a maze in an autonomous way, by using computer vision and path planning. In addition, this robot shares the generated knowledge to another by means of communication protocols, having to adapt its mechanical characteristics to be able to solve the same challenge. The paper presents experimental validation of the four components of this solution, namely camera calibration, maze mapping, path planning and robot communication. Finally, we present the integration and functionality of these methods applied in a pair of NAO robots.

A peek in the micro-sized world: a review of design principles, engineering tools, and applications of engineered microbial community

2020 ◽  
Vol 48 (2) ◽  
pp. 399-409
Author(s):  
Baizhen Gao ◽  
Rushant Sabnis ◽  
Tommaso Costantini ◽  
Robert Jinkerson ◽  
Qing Sun
Keyword(s):  
Microbial Community ◽  
Microbial Communities ◽  
Environmental Remediation ◽  
Real Life ◽  
Design Principles ◽  
Microbial Interactions ◽  
Potential Applications ◽  
New Gene ◽  
Global Biogeochemical Cycles ◽  
Synthetic Microbial Communities

Microbial communities drive diverse processes that impact nearly everything on this planet, from global biogeochemical cycles to human health. Harnessing the power of these microorganisms could provide solutions to many of the challenges that face society. However, naturally occurring microbial communities are not optimized for anthropogenic use. An emerging area of research is focusing on engineering synthetic microbial communities to carry out predefined functions. Microbial community engineers are applying design principles like top-down and bottom-up approaches to create synthetic microbial communities having a myriad of real-life applications in health care, disease prevention, and environmental remediation. Multiple genetic engineering tools and delivery approaches can be used to ‘knock-in' new gene functions into microbial communities. A systematic study of the microbial interactions, community assembling principles, and engineering tools are necessary for us to understand the microbial community and to better utilize them. Continued analysis and effort are required to further the current and potential applications of synthetic microbial communities.

The Speech-Language Pathologist in the Public Schools: Preparation for Real Life Practices From the Perspective of a Speech-Language Pathology Program Coordinator

2010 ◽  
Vol 11 (2) ◽  
pp. 60-65
Author(s):  
Francine Wenhardt
Keyword(s):  
Public Schools ◽  
School Setting ◽  
Real Life ◽  
Effective School ◽  
Program Coordinator ◽  
Educational Preparation ◽  
The Public ◽  
Speech Language Pathologist ◽  
New Graduate ◽  
Language Pathology

Abstract The speech-language pathologist (SLP) working in the public schools has a wide variety of tasks. Educational preparation is not all that is needed to be an effective school-based SLP. As a SLP currently working in the capacity of a program coordinator, the author describes the skills required to fulfill the job requirements and responsibilities of the SLP in the school setting and advises the new graduate regarding the interview process and beginning a career in the public schools.

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