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السجلات المعروضة 201 -- 210 من 266
A model for predicting room occupancy based on motion sensor data
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ...
Smart energy usage and visualization based on micro-moments
(
Springer Verlag
, 2020 , Conference Paper)
Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods ...
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ...
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ...
IoT-enabled smart child safety digital system architecture
(
IEEE
, 2020 , Conference Paper)
Safety of a child in a large public event is a major concern for event organizers and parents. This paper addresses this important concern and proposes an architecture model of the IoT-enable smart child safety tracking ...
Using Deep Learning to Predict Stock Movements Direction in Emerging Markets: The Case of Qatar Stock Exchange
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Deep learning approaches have been utilized to predict stocks. In this study, we use convolutional neural network (CNN) to predict stocks direction in Qatar stock exchange (QE) as a case of emerging markets. Prediction in ...
The impact of government expenditure on GDP in the State of Qatar: A nonlinear ARDL approach
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Inderscience Publishers
, 2020 , Conference Paper)
This study investigates the long run relationship between government expenditure and the GDP in the State of Qatar with a focus on the non-mining and quarrying GDP during the period 1980-2017 using the nonlinear autoregressive ...
Simulation method for redesign of cars hood structure to achieve the requirements of pedestrian protection during accidents
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American Institute of Physics Inc.
, 2020 , Conference Paper)
Thousands of lives the world loss every year due to Pedestrian-Cars accidents and more have injuries. Pedestrian Friendly Cars option is a viable alternative solution to reduce the pedestrian fatalities number and mitigate ...
Finite element analysis of pores design and tissue differentiation in cementless hip prosthesis
(
International Centre for Numerical Methods in Engineering, CIMNE
, 2020 , Conference Paper)
Cementless hip prostheses are commonly used to repair the femur bones. The primary stability of the hip prosthesis highly dependent on the peri-prosthetic bone ingrowth into the porous structure which is influenced by ...
Externally bonded hybrid carbon/glass FRP strips for shear strengthening of RC deep beams
(
University of Cantabria - Building Technology R&D Group
, 2020 , Conference Paper)
The experimental study on the shear strengthening the efficacy of a recently introduced hybrid carbon/glass fiber reinforced polymer (FRP) for reinforced concrete (RC) deep beams has been presented in this study. The hybrid ...