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Tatiana Klishkovskaia, Andrey Aksenov, Aleksandr Sinitca, Anna Zamansky, Oleg A. Markelov and Dmitry Kaplun
The rapid development of algorithms for skeletal postural detection with relatively inexpensive contactless systems and cameras opens up the possibility of monitoring and assessing the health and wellbeing of humans. However, the evaluation and confirmat...
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Kyu-Young Kang, Seul-Gi Lee, Hyeon Kang, Jung-Gil Kim, Gye-Rae Tack and Jin-Seung Choi
Inertial sensors are widely used for classifying the motions of daily activities. Although hierarchical classification algorithms were commonly used for defined motions, deep-learning models have been used recently to classify a greater diversity of moti...
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Yaojung Shiao, Thang Hoang and Po-Yao Chang
Exercise is good for health, quality of life, and maintenance of human muscles. Dumbbells are popular indoor exercise equipment with several benefits such as low cost, high flexibility in space and time, easy operation, and suitability for people of all ...
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Zhewei Zhang, Tao Jing, Bowen Ding, Meilin Gao and Xuejing Li
Detecting the Region of Interest (ROI) for video clips is a significant and useful technique both in video codecs and surveillance/monitor systems. In this paper, a new model-based detection method is designed which suits video compression codecs by prop...
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Luis A. Pinzón, Luis G. Pujades, Albert Macau, Emilio Carreño and Juan M. Alcalde
Normally, the average of the horizontal-to-vertical (H/V) ratios of the 5% damped response spectra of ground motions is used to classify the site of strong-motion stations. In these cases, only the three-orthogonal as-recorded acceleration components are...
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Hyuk-Jae Roh, Furqan A. Bhat, Prasanta K. Sahu, Satish Sharma, Babak Mehran, Ata M. Khan and Orlando Rodriguez
This paper evaluates the effect of inclement weather conditions on the travel demand for three classes of vehicles for a primary highway in the province of Alberta, Canada. The demand variables are passenger cars, trucks, and total traffic. It is well kn...
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Brett Lawrence
Small unmanned aerial systems (sUAS) and relatively new photogrammetry software solutions are creating opportunities for forest managers to perform spatial analysis more efficiently and cost-effectively. This study aims to identify a method for leveragin...
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Thomas Neil McManus, Ana Rosa and Assed Haddad
This article describes the development and demonstration of a non-intrusive method for the quantitative determination of speed of air movement along the ground and inside an isolated subsurface structure, a type of confined space. Natural ventilation occ...
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Walaa H. Elashmawi, John Emad, Ahmed Serag, Karim Khaled, Ahmed Yehia, Karim Mohamed, Hager Sobeah and Ahmed Ali
New guitarists face multiple problems when first starting out, and these mainly stem from a flood of information that they are presented with. Students also typically struggle with proper pitch frequency recognition and accurate left-hand motion. A varie...
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Roberta Vrskova, Robert Hudec, Patrik Kamencay and Peter Sykora
Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing interest in neural networks, there is also a rising interest in video classification. Object de...
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Do-Soo Kwon, Chungkuk Jin, MooHyun Kim and Weoncheol Koo
This paper presents a machine learning method for detecting the mooring failures of SFT (submerged floating tunnel) based on DNN (deep neural network). The floater-mooring-coupled hydro-elastic time-domain numerical simulations are conducted under variou...
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Gordana Jakovljevic, Miro Govedarica, Flor Alvarez-Taboada and Vladimir Pajic
Digital elevation model (DEM) has been frequently used for the reduction and management of flood risk. Various classification methods have been developed to extract DEM from point clouds. However, the accuracy and computational efficiency need to be impr...
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Amrita Dutta, Scott P. Breloff, Dilruba Mahmud, Fei Dai, Erik W. Sinsel, Christopher M. Warren and John Z. Wu
Awkward kneeling in sloped shingle installation operations exposes roofers to knee musculoskeletal disorder (MSD) risks. To address the varying levels of risk associated with different phases of shingle installation, this research investigated utilizing ...
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Aikaterini S. Karampasi, Antonis D. Savva, Vasileios Ch. Korfiatis, Ioannis Kakkos and George K. Matsopoulos
Effective detection of autism spectrum disorder (ASD) is a complicated procedure, due to the hundreds of parameters suggested to be implicated in its etiology. As such, machine learning methods have been consistently applied to facilitate diagnosis, alth...
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Ngoc-Hoang Nguyen, Tran-Dac-Thinh Phan, Soo-Hyung Kim, Hyung-Jeong Yang and Guee-Sang Lee
This paper presents a novel approach to continuous dynamic hand gesture recognition. Our approach contains two main modules: gesture spotting and gesture classification. Firstly, the gesture spotting module pre-segments the video sequence with continuous...
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Bethany Melville, Arko Lucieer and Jagannath Aryal
This paper presents the results of a study undertaken to classify lowland native grassland communities in the Tasmanian Midlands region. Data was collected using the 20 band hyperspectral snapshot PhotonFocus sensor mounted on an unmanned aerial vehicle....
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Chang-Guk Sun, Han-Saem Kim and Hyung-Ik Cho
Seismic site effects and topographic effects related to ground motion occur during an earthquake due to site-specific geotechnical or geological characteristics, including the geological or geographical structure and the characteristics of near-surface s...
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Obada Issa and Tamer Shanableh
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature vectors by computing the mean a...
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Jae-Hung Han, Yu-Jeong Han, Hyeon-Ho Yang, Sang-Gil Lee and Eun-Hyuck Lee
This study focuses on the flapping mechanisms found in recently developed biometric flapping-wing air vehicles (FWAVs). FWAVs mimic the flight characteristics of flying animals, providing advantages such as maneuverability, inconspicuousness, and excelle...
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Jan Blotnicki, Pawel Jarzembowski, Maciej Gruszczynski and Marcin Popczyk
The application of UAV to acquire data on the morphometry of frazil ice floe in motion is demonstrated in the measurements conducted in the area of the Wroclaw Water Junction at the Opatowice weir on the Odra River (Poland). Image processing was performe...
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