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Characterizing touch using pressure data and auto regressive models

Shlomi Laufer, Carla M. Pugh, Barry D. Van Veen
2014 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Dynamic pressure data was measured using a simplified testbed and different autoregressive models were used to describe the motion of interest.  ...  The frequency, direction and type of motion used were identified from the models.  ...  Acknowledgments This work was supported by the National Institutes of Health R01EB011524 Grant titled Validation of Sensorized Breast Models for High Stakes Testing.  ... 
doi:10.1109/embc.2014.6943967 pmid:25570335 pmcid:PMC4288476 dblp:conf/embc/LauferPV14 fatcat:tw7tjsrvs5bflpfodprpzao3k4

Simulated Data to Estimate Real Sensor Events—A Poisson-Regression-Based Modelling

Miguel Angel Ortíz-Barrios, Ian Cleland, Chris Nugent, Pablo Pancardo, Eric Järpe, Jonathan Synnott
2020 Remote Sensing  
First, synthetic and real data were compared to verify the equivalence hypothesis. Then, several Poisson regression models were formulated for estimating real SEPA using simulated data.  ...  Hence, this paper proposes the use of Poisson regression modelling for transforming simulated data in a better approximation of real SEPA.  ...  Upon analyzing the results derived from Poisson regression models, we propose the application of sensor-based models in Go to bed (Bed pressure), Bathroom door (Use bathroom), and Refrigerator (Prepare  ... 
doi:10.3390/rs12050771 fatcat:faxzns3phndatjqp25mqng2ede

Sensitive nerve function measurement in facial trauma: An observational study

E. Cetira-Filho, F. Costa, S. Santos, MJ. Mello, PB. Silva, A. de Aguiar
2020 Journal of Clinical and Experimental Dentistry  
The use of monofilaments is a support tool in oral and maxillofacial traumatology for the diagnosis and monitoring of peripheral sensory alterations.  ...  The highest frequencies mandibular nerve changes were those that there was a loss protective sensation, but in which, the patient can feel deep pressure and pain; In which the worst sensory alterations  ...  Multiple linear regression model was used to evaluate the weight that each region had in the PSL calculation.  ... 
doi:10.4317/jced.56830 pmid:33425226 pmcid:PMC7781219 fatcat:gp42gwopdjbvrkezgkhs6aqgqe

Qualitative assessment of climate-driven ecological shifts in the Caspian Sea

Omid Beyraghdar Kashkooli, Joachim Gröger, Ismael Núñez-Riboni, João Miguel Dias
2017 PLoS ONE  
Hasan Fazli (Caspian Sea Ecology Research Center, Iranian Fisheries Research Organization) for providing the fisheries-derived data, his support and scientific guidance during his doctoral research.  ...  Boris Cisewski (TI) for his help with the chlorophyll-a data series. Dr.  ...  This break-like signal is also characterized by an obvious change in auto-regression behavior of the time series.  ... 
doi:10.1371/journal.pone.0176892 pmid:28475609 pmcid:PMC5419503 fatcat:i62dcv7xsjaknm5iumesdcnj74

Deep Learning and Health Informatics for Smart Monitoring and Diagnosis [article]

Amin Gasmi
2022 arXiv   pre-print
annotation algorithms that control data validation, modeling, and diagnosis of different diseases using smart monitoring health informatics applications.  ...  The extensive use of neural network tools leads to the expansion of different medical disciplines which mitigates data complexity and enhances 3-4D overlap images using target point label data detectors  ...  The conventional auto-encoder data-model requires handcrafting features for each individual trained module and cannot handle large datasets.  ... 
arXiv:2208.03143v1 fatcat:74qhazw3ive65hglqtbqv4pz4a

E-Pilots: A system to predict hard landing during the approach phase of commercial flights

Debora Gil, Aura Hernandez-Sabate, Julien Enconniere, Saryani Asmayawati, Pau Folch, Juan Borrego, Miquel Angel Piera
2021 IEEE Access  
This work presents a hybrid approach for hard landing prediction that uses features modelling temporal dependencies of aircraft variables as inputs to a neural network.  ...  David Barry of Cranfield University for providing us with the flight data and for his technical support throughout this work. VOLUME 4, 2016  ...  The data retrieved from the FMS starts at the FAF defined as 3 minutes before touching down and ends 20 seconds after touching down to capture the maximum G, labelled maxG, at touch down.  ... 
doi:10.1109/access.2021.3138167 fatcat:bd2wqf2dq5bhfacydjziwwenry

Evaluation of Point Hyperspectral Reflectance and Multivariate Regression Models for Grapevine Water Status Estimation

Hsiang-En Wei, Miles Grafton, Michael Bretherton, Matthew Irwin, Eduardo Sandoval
2021 Remote Sensing  
However, these studies were presented based on various combinations of transformed spectral data, feature selection methods, and regression models.  ...  Models trained with an ensemble of selected variables comprising multicombination of transformed data and variable selection approaches outperformed those fitted using single combinations.  ...  Acknowledgments: The authors sincerely thank Palliser Estate for providing the vineyards as study fields, and Guy McMaster (chief viticulturist of Palliser Estate) for offering the pressure chamber during  ... 
doi:10.3390/rs13163198 fatcat:3piajclqwfdlpfpan4desa2vay

A Simple Neural Network for Collision Detection of Collaborative Robots

Michał Czubenko, Zdzisław Kowalczuk
2021 Sensors  
Four different approaches are compared in this article: auto-regressive (AR), recurrent neural network (RNN), convolutional long short-term memory (CNN-LSTM) and mixed convolutional LSTM network (MC-LSTM  ...  A virtual force and torque sensor, implemented as a neural network, may be useful in a team of collaborative robots.  ...  Data Availability Statement: All data used for the experiments are publicly available at: https: //  ... 
doi:10.3390/s21124235 fatcat:p7euwtsqz5gd5dntezlg4ximvm

The Relationship between Vitamin D Status and Visceral Fat Accumulation in Males with Type 2 Diabetes

Bowei LIU, Dongmei FAN, Fuzai YIN
2020 Journal of Nutritional Science and Vitaminology  
In multiple logistic regression analysis, subjects with vitamin D insufficiency [OR=4.255, p=0.012] and vitamin D deficiency [OR=6.122, p=0.022] were more likely to have visceral fat accumulation compared  ...  The prevalence of visceral fat accumulation was 14.6%, 45.1% and 50.0% in type 2 diabetes with vitamin D sufficiency, vitamin D insufficiency and vitamin D deficiency, respectively.  ...  Multiple logistic regression models were used for modeling relationships between vitamin D status and visceral fat accumulation in males with type 2 diabetes.  ... 
doi:10.3177/jnsv.66.396 pmid:33132341 fatcat:p4bk42tn7jgxrjtkngau2rdu2q

Dynamic Characterization of Adhesive Materials for Vibration Control [chapter]

Jon García-Barruetabeña, Fernando Cortés Martínez
2016 Adhesives - Applications and Properties  
First, the experimental characterization and modelization of the relaxation and complex moduli of the flexible adhesive ISR 70-03 by means of a dynamic mechanical thermal analysis technique (DMTA) are  ...  This chapter focuses on the dynamic characterization of adhesive materials for vibration control proposes.  ...  Author details Jon García-Barruetabeña* and Fernando Cortés Martínez *Address all correspondence to: Faculty of Engineering, University of Deusto, Bilbao, Spain  ... 
doi:10.5772/66104 fatcat:aqbcjvxxwvc6hc4uhrzyu2t32a

A Review on Deep Learning Techniques for IoT Data

Kuruva Lakshmanna, Rajesh Kaluri, Nagaraja Gundluru, Zamil S. Alzamil, Dharmendra Singh Rajput, Arfat Ahmad Khan, Mohd Anul Haq, Ahmed Alhussen
2022 Electronics  
Deep learning has been used in a variety of projects involving IoT and mobile apps, with encouraging early results.  ...  The features, application and challenges that DL uses to empower IoT applications, which are also discussed in this promising field, can motivate and inspire further developments.  ...  perform better while common learning models can easily be over-touched when dealing with a flood of data.  ... 
doi:10.3390/electronics11101604 fatcat:xdqompeur5a6pb72e7d5gtpqxa

Staging of clear cell renal cell carcinoma using random forest and support vector machine

D Talaat, F Zada, R Kadry
2020 Journal of Physics, Conference Series  
Experiments have been carried out to validate the effectiveness of the proposed model using TCGA-KRIC dataset which contains 228 CT scans of ccRCC patients where 150 scans were used for learning and 78  ...  In this paper, a novel semi-automated model is proposed for early detection and staging of clear cell renal cell carcinoma.  ...  Random Forest can be used for classification as well regression. It is an easy to use algorithm and is regarded as a promising classifier.  ... 
doi:10.1088/1742-6596/1447/1/012012 fatcat:uy5w6ezym5gtxd4aoyec5ystzu

Fluid flow through rough fractures in rocks. II: A new matching model for rough rock fractures

Steven R. Ogilvie, Evgeny Isakov, Paul W.J. Glover
2006 Earth and Planetary Science Letters  
Synthetic fractures are created using, (i) a new model, which takes full account of the complex matching properties of fracture surfaces using two new parameters, a minimum matching fraction and a transition  ...  It is often impractical to obtain this information by field or laboratory scale measurements, so numerical modelling of fluid flow must be carried out using synthetic fractures with rough fracture surfaces  ...  We would like to thank Judith Christie and Colin Taylor for their technical assistance during this study.  ... 
doi:10.1016/j.epsl.2005.11.041 fatcat:l6scpausr5fcjncarf4wtyn4py

The Effects of Fiscal Effort in Tunisia: An Evidence from the ARDL Bound Testing Approach

Naoufel Mahfoudh, Imen Gmach
2021 Economies  
We used on the empirical study an ARDL model to estimate the dynamic equation of fiscal potential and its structural and non-structural determinants covering the period of 1996–2017 in Tunisia.  ...  In order to optimize the allocation of budgetary resources and ease the pressure on public finances, it would be appropriate, even with a delay in relation to the legislation to fight tax evasion and fraud  ...  Data Availability Statement: The data are available from the authors upon request. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/economies9040194 fatcat:tharfggro5a7fog4tx7ijt4tiq


Syed Misbah Uddin .
2015 International Journal of Research in Engineering and Technology  
Linear regression analysis indicates that weight and hand breadth in male; age and weight in female have a significant effect on grip strength.  ...  Grip strength has a specific role in ergonomics especially for hand tool using.  ...  Durbin-Watson test is used to measure auto correlation. Here Durbin-Watson value is 3.015 implies that data set are free from auto correlation.  ... 
doi:10.15623/ijret.2015.0401041 fatcat:i4rhvr22incgrdpof2c2qfbeii
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