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Thematische Bibliographien / Thermal face images / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Thermal face images“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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1

Mostafa, Eslam, Riad Hammoud, Asem Ali, and Aly Farag. "Face recognition in low resolution thermal images." Computer Vision and Image Understanding 117, no. 12 (2013): 1689–94. http://dx.doi.org/10.1016/j.cviu.2013.07.010.

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Albar, Albar, Hendrick Hendrick, and Rahmad Hidayat. "Segmentation Method for Face Modelling in Thermal Images." Knowledge Engineering and Data Science 3, no. 2 (2020): 99. http://dx.doi.org/10.17977/um018v3i22020p99-105.

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Face detection is mostly applied in RGB images. The object detection usually applied the Deep Learning method for model creation. One method face spoofing is by using a thermal camera. The famous object detection methods are Yolo, Fast RCNN, Faster RCNN, SSD, and Mask RCNN. We proposed a segmentation Mask RCNN method to create a face model from thermal images. This model was able to locate the face area in images. The dataset was established using 1600 images. The images were created from direct capturing and collecting from the online dataset. The Mask RCNN was configured to train with 5 epoc

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Quan, Yan Ming, Hao Xu, and Zhi Yong Ke. "Temperature Field Measurement of Turning Tool with Thermal Infrared Imager." Advanced Materials Research 305 (July 2011): 265–68. http://dx.doi.org/10.4028/www.scientific.net/amr.305.265.

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The variety of surface emissivity of carbide insert P10 against temperature raise is calibrated with antitheses. The influence of high temperature object near the carbide insert and the open measurement environment of the thermal infrared imager on the calibrated values are investigated. Then the thermal images of turning tool’s rake face are continuously captured by an infrared imager in the designed turning experiment. In the analysis of thermal images, the influence of measurement environment is taken into consideration and varied emissivity values are used to analyze the temperature in dif

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Kanmani, Madheswari, and Venkateswaran Narasimhan. "Optimal fusion aided face recognition from visible and thermal face images." Multimedia Tools and Applications 79, no. 25-26 (2020): 17859–83. http://dx.doi.org/10.1007/s11042-020-08628-9.

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Nagumo, Kent, Tomohiro Kobayashi, Kosuke Oiwa, and Akio Nozawa. "Face Alignment in Thermal Infrared Images Using Cascaded Shape Regression." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1776. http://dx.doi.org/10.3390/ijerph18041776.

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The evaluation of physiological and psychological states using thermal infrared images is based on the skin temperature of specific regions of interest, such as the nose, mouth, and cheeks. To extract the skin temperature of the region of interest, face alignment in thermal infrared images is necessary. To date, the Active Appearance Model (AAM) has been used for face alignment in thermal infrared images. However, computation using this method is costly, and it has a low real-time performance. Conversely, face alignment of visible images using Cascaded Shape Regression (CSR) has been reported

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Chame, Kanchan P. "Face Recognition using Sketch, Thermal and Infrared Images." International Journal for Research in Applied Science and Engineering Technology 9, no. 1 (2021): 178–90. http://dx.doi.org/10.22214/ijraset.2021.32751.

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Grudzień, Artur, Marcin Kowalski, and Norbert Pałka. "Thermal Face Verification through Identification." Sensors 21, no. 9 (2021): 3301. http://dx.doi.org/10.3390/s21093301.

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This paper reports on a new approach to face verification in long-wavelength infrared radiation. Two face images were combined into one double image, which was then used as an input for a classification based on neural networks. For testing, we exploited two external and one homemade thermal face databases acquired in various variants. The method is reported to achieve a true acceptance rate of about 83%. We proved that the proposed method outperforms other studied baseline methods by about 20 percentage points. We also analyzed the issue of extending the performance of algorithms. We believe

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Hermosilla, Gabriel, José Luis Verdugo, Gonzalo Farias, Esteban Vera, Francisco Pizarro, and Margarita Machuca. "Face Recognition and Drunk Classification Using Infrared Face Images." Journal of Sensors 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/5813514.

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The aim of this study is to propose a system that is capable of recognising the identity of a person, indicating whether the person is drunk using only information extracted from thermal face images. The proposed system is divided into two stages, face recognition and classification. In the face recognition stage, test images are recognised using robust face recognition algorithms: Weber local descriptor (WLD) and local binary pattern (LBP). The classification stage uses Fisher linear discriminant to reduce the dimensionality of the features, and those features are classified using a classifie

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Sancen-Plaza, Agustin, Luis M. Contreras-Medina, Alejandro Israel Barranco-Gutiérrez, Carlos Villaseñor-Mora, Juan J. Martínez-Nolasco, and José A. Padilla-Medina. "Facial Recognition for Drunk People Using Thermal Imaging." Mathematical Problems in Engineering 2020 (April 14, 2020): 1–9. http://dx.doi.org/10.1155/2020/1024173.

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Face recognition using thermal imaging has the main advantage of being less affected by lighting conditions compared to images in the visible spectrum. However, there are factors such as the process of human thermoregulation that cause variations in the surface temperature of the face. These variations cause recognition systems to lose effectiveness. In particular, alcohol intake causes changes in the surface temperature of the face. It is of high relevance to identify not only if a person is drunk but also their identity. In this paper, we present a technique for face recognition based on the

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Fitriyah, Hurriyatul, Edita Rosana Widasari, and Rekyan Regasari Mardi Putri. "Inner-Canthus Localization of Thermal Images in Face-View Invariant." International Journal on Advanced Science, Engineering and Information Technology 8, no. 6 (2018): 2570. http://dx.doi.org/10.18517/ijaseit.8.5.3903.

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Fitriyah, Hurriyatul, Edita Rosana Widasari, and Rekyan Regasari Mardi Putri. "Inner-Canthus Localization of Thermal Images in Face-View Invariant." International Journal on Advanced Science, Engineering and Information Technology 8, no. 6 (2018): 2570. http://dx.doi.org/10.18517/ijaseit.8.6.3903.

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Matsuno, Shogo, Tota Mizuno, Hirotoshi Asano, Kazuyuki Mito, and Naoaki Itakura. "Estimating autonomic nerve activity using variance of thermal face images." Artificial Life and Robotics 23, no. 3 (2018): 367–72. http://dx.doi.org/10.1007/s10015-018-0436-z.

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Kim, Sa-Mun, Dae-Jong Lee, Ho-Hyun Lee, and Myung-Geun Chun. "Person Recognition Using Gait and Face Features on Thermal Images." Transactions of the Korean Institute of Electrical Engineers P 65, no. 2 (2016): 130–35. http://dx.doi.org/10.5370/kieep.2016.65.2.130.

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Seal, Ayan, Debotosh Bhattacharjee, Mita Nasipuri, Consuelo Gonzalo-Martin, and Ernestina Menasalvas. "Fusion of Visible and Thermal Images Using a Directed Search Method for Face Recognition." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 04 (2017): 1756005. http://dx.doi.org/10.1142/s0218001417560055.

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A new image fusion algorithm based on the visible and thermal images for face recognition is presented in this paper. The new fusion algorithm derives the benefit from both the modalities images. The proposed fusion process is the weighted sum of thermal and visible face information with two weighting factors [Formula: see text] and [Formula: see text], respectively. The weighting factors are calculated using a directed search algorithm automatically. The proposed fusion framework is evaluated through extensive experiments using UGC-JU face database. Experiments are of three fold. Firstly, ind

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Bhattacharjee, Debotosh, Ayan Seal, Suranjan Ganguly, Mita Nasipuri, and Dipak Kumar Basu. "A Comparative Study of Human Thermal Face Recognition Based on Haar Wavelet Transform and Local Binary Pattern." Computational Intelligence and Neuroscience 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/261089.

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Thermal infrared (IR) images focus on changes of temperature distribution on facial muscles and blood vessels. These temperature changes can be regarded as texture features of images. A comparative study of face two recognition methods working in thermal spectrum is carried out in this paper. In the first approach, the training images and the test images are processed with Haar wavelet transform and the LL band and the average of LH/HL/HH bands subimages are created for each face image. Then a total confidence matrix is formed for each face image by taking a weighted sum of the corresponding p

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SEAL, AYAN, DEBOTOSH BHATTACHARJEE, MITA NASIPURI, and CONSUELO GONZALO-MARTIN. "ROBUST THERMAL FACE RECOGNITION USING REGION CLASSIFIERS." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 05 (2014): 1456008. http://dx.doi.org/10.1142/s0218001414560084.

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This paper presents a robust approach for recognition of thermal face images based on decision level fusion of 34 different region classifiers. The region classifiers concentrate on local variations. They use singular value decomposition (SVD) for feature extraction. Fusion of decisions of the region classifier is done by using majority voting technique. The algorithm is tolerant against false exclusion of thermal information produced by the presence of inconsistent distribution of temperature statistics which generally make the identification process difficult. The algorithm is extensively ev

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Fitriyah, Hurriyatul, and Edita Rosana Widasari. "Face Detection of Thermal Images in Various Standing Body-Pose using Facial Geometry." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 14, no. 4 (2020): 407. http://dx.doi.org/10.22146/ijccs.59672.

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Automatic face detection in frontal view for thermal images is a primary task in a health system e.g. febrile identification or security system e.g. intruder recognition. In a daily state, the scanned person does not always stay in frontal face view. This paper develops an algorithm to identify a frontal face in various standing body-pose. The algorithm used an image processing method where first it segmented face based on human skin’s temperature. Some exposed non-face body parts could also get included in the segmentation result, hence discriminant features of a face were applied. The shape

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Pavlovic, Milos, Branka Stojanovic, Ranko Petrovic, Snezana Puzovic, and Srdjan Stankovic. "Optimal hog cell to image ratio for robust multi-sensor face recognition systems." Serbian Journal of Electrical Engineering 16, no. 3 (2019): 387–403. http://dx.doi.org/10.2298/sjee1903387p.

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The main problem for modern visible light face recognition has been accurate identification under variable environmental conditions. Thermal infrared facial images utilization in face recognition systems can provide a solution for problems related to uncontrolled environmental conditions, especially to those caused by illumination limitations. This paper compares the results of the use of visible light and thermal infrared imagery for face recognition based on the HOG feature descriptor. In particular, the paper suggests an optimal HOG cell to image size ratio in order to improve recognition a

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Seal, Ayan, and Chinmaya Panigrahy. "Human authentication based on fusion of thermal and visible face images." Multimedia Tools and Applications 78, no. 21 (2019): 30373–95. http://dx.doi.org/10.1007/s11042-019-7701-6.

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Marzec, Mariusz, Robert Koprowski, Zygmunt Wróbel, Agnieszka Kleszcz, and Sławomir Wilczyński. "Automatic method for detection of characteristic areas in thermal face images." Multimedia Tools and Applications 74, no. 12 (2013): 4351–68. http://dx.doi.org/10.1007/s11042-013-1745-9.

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21

Cho, Se, Na Baek, Min Kim, Ja Koo, Jong Kim, and Kang Park. "Face Detection in Nighttime Images Using Visible-Light Camera Sensors with Two-Step Faster Region-Based Convolutional Neural Network." Sensors 18, no. 9 (2018): 2995. http://dx.doi.org/10.3390/s18092995.

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Conventional nighttime face detection studies mostly use near-infrared (NIR) light cameras or thermal cameras, which are robust to environmental illumination variation and low illumination. However, for the NIR camera, it is difficult to adjust the intensity and angle of the additional NIR illuminator according to its distance from an object. As for the thermal camera, it is expensive to use as a surveillance camera. For these reasons, we propose a nighttime face detection method based on deep learning using a single visible-light camera. In a long-distance night image, it is difficult to dete

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Sun, Pengcheng, Dan Zeng, Xiaoyan Li, et al. "A 3D Mask Presentation Attack Detection Method Based on Polarization Medium Wave Infrared Imaging." Symmetry 12, no. 3 (2020): 376. http://dx.doi.org/10.3390/sym12030376.

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Facial recognition systems are often spoofed by presentation attack instruments (PAI), especially by the use of three-dimensional (3D) face masks. However, nonuniform illumination conditions and significant differences in facial appearance will lead to the performance degradation of existing presentation attack detection (PAD) methods. Based on conventional thermal infrared imaging, a PAD method based on the medium wave infrared (MWIR) polarization characteristics of the surface material is proposed in this paper for countering a flexible 3D silicone mask presentation attack. A polarization MW

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Kong, Seong G., Jingu Heo, Faysal Boughorbel, et al. "Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition." International Journal of Computer Vision 71, no. 2 (2006): 215–33. http://dx.doi.org/10.1007/s11263-006-6655-0.

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Hermosilla, Gabriel, Gonzalo Farias, Cesar San Martin, and Francisco Gallardo. "Study of Local Matching-Based Facial Recognition Methods Using Thermal Infrared Imagery." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 08 (2015): 1556012. http://dx.doi.org/10.1142/s0218001415560121.

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This paper shows a comparative study among different local matching-based methods for thermal infrared face recognition. The principal assumption of this work is that the thermal face corresponds to the diffuse energy emission captured by an infrared camera, where the thermal signature is unique for each subject and it can be addressed as a texture descriptor with thermal images. Local matching-based methods find inter-class differences that improve the face recognition rate in thermal spectrum. Specifically, this work considers four methods: Local Binary Pattern (LBP), Local Derivative Patter

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Yoshikawa, Hiroki, Akira Uchiyama, and Teruo Higashino. "ThermalWrist: Smartphone Thermal Camera Correction Using a Wristband Sensor †." Sensors 19, no. 18 (2019): 3826. http://dx.doi.org/10.3390/s19183826.

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Thermal images are widely used for various healthcare applications and advanced research. However, thermal images captured by smartphone thermal cameras are not accurate for monitoring human body temperature due to the small body that is vulnerable to temperature change. In this paper, we propose ThermalWrist, a dynamic offset correction method for thermal images captured by smartphone thermal cameras. We fully utilize the characteristic that is specific to thermal cameras: the relative temperatures in a single thermal image are highly reliable, although the absolute temperatures fluctuate fre

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van Doremalen, Rob F. M., Jaap J. van Netten, Jeff G. van Baal, Miriam M. R. Vollenbroek-Hutten, and Ferdinand van der Heijden. "Infrared 3D Thermography for Inflammation Detection in Diabetic Foot Disease: A Proof of Concept." Journal of Diabetes Science and Technology 14, no. 1 (2019): 46–54. http://dx.doi.org/10.1177/1932296819854062.

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Background: Thermal assessment of the plantar surface of the foot using spot thermometers and thermal imaging has been proven effective in diabetic foot ulcer prevention. However, with traditional cameras this is limited to single spots or a two-dimensional (2D) view of the plantar side of foot, where only 50% of the ulcers occur. To improve ulcer detection, the view has to be extended beyond 2D. Our aim is to explore for proof of concept the combination of three-dimensional (3D) models with thermal imaging for inflammation detection in diabetic foot disease. Method: From eight participants wi

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Hahn, Amanda C., Ross D. Whitehead, Marion Albrecht, Carmen E. Lefevre, and David I. Perrett. "Hot or not? Thermal reactions to social contact." Biology Letters 8, no. 5 (2012): 864–67. http://dx.doi.org/10.1098/rsbl.2012.0338.

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Previous studies using thermal imaging have suggested that face and body temperature increase during periods of sexual arousal. Additionally, facial skin temperature changes are associated with other forms of emotional arousal, including fear and stress. This study investigated whether interpersonal social contact can elicit facial temperature changes. Study 1: infrared images were taken during a standardized interaction with a same- and opposite-sex experimenter using skin contact in a number of potentially high–intimate (face and chest) and low–intimate (arm and palm) locations. Facial skin

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Li, Dong, Lu, Lou, and Zhou. "Multi-Sensor Face Registration Based on Global and Local Structures." Applied Sciences 9, no. 21 (2019): 4623. http://dx.doi.org/10.3390/app9214623.

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The work reported in this paper aims at utilizing the global geometrical relationship and local shape feature to register multi-spectral images for fusion-based face recognition. We first propose a multi-spectral face images registration method based on both global and local structures of feature point sets. In order to combine the global geometrical relationship and local shape feature in a new Student’s t Mixture probabilistic model framework. On the one hand, we use inner-distance shape context as the local shape descriptors of feature point sets. On the other hand, we formulate the feature

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Bhowmik, Mrinal Kanti. "Eye region-based fusion technique of thermal and dark visual images for human face recognition." Optical Engineering 51, no. 7 (2012): 077205. http://dx.doi.org/10.1117/1.oe.51.7.077205.

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Litvin, Andre, Kamal Nasrollahi, Sergio Escalera, Cagri Ozcinar, Thomas B. Moeslund, and Gholamreza Anbarjafari. "A novel deep network architecture for reconstructing RGB facial images from thermal for face recognition." Multimedia Tools and Applications 78, no. 18 (2019): 25259–71. http://dx.doi.org/10.1007/s11042-019-7667-4.

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Rao, M. Sivasankara, K. Tejasree, P. Sathwik, P. Sandeep Kumar, and M. Sailohith. "Real Time Face Mask Detection and Thermal Screening with Audio Response for COVID-19." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 2703–14. http://dx.doi.org/10.47059/revistageintec.v11i4.2311.

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The coronavirus COVID-19 pandemic is continuously spreading until now everywhere on the earth, and causing a severe health crisis. So the helpful and safe-keeping method is wearing a face mask in all areas where people are gathered, according to the World Health Organization (WHO). Along with the face mask, body temperature and sanitization also plays a vital role in being safer. Thus, monitoring the individuals that are wearing the mask or not is more significant. In this paper, we propose a system that uses TensorFlow, Keras, MobileNetV2, and OpenCV to detect the face mask. A dataset contain

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Chen, Cunjian, and Arun Ross. "Matching thermal to visible face images using hidden factor analysis in a cascaded subspace learning framework." Pattern Recognition Letters 72 (March 2016): 25–32. http://dx.doi.org/10.1016/j.patrec.2015.06.021.

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Kakaraparthi, Vimal, Qijia Shao, Charles J. Carver, et al. "FaceSense." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (2021): 1–27. http://dx.doi.org/10.1145/3478129.

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Face touch is an unconscious human habit. Frequent touching of sensitive/mucosal facial zones (eyes, nose, and mouth) increases health risks by passing pathogens into the body and spreading diseases. Furthermore, accurate monitoring of face touch is critical for behavioral intervention. Existing monitoring systems only capture objects approaching the face, rather than detecting actual touches. As such, these systems are prone to false positives upon hand or object movement in proximity to one's face (e.g., picking up a phone). We present FaceSense, an ear-worn system capable of identifying act

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Suzuki, Takuma, Hirotaka Yamaguchi, Tetsuo Hatakeyama, et al. "Effects of Surface Morphological Defects and Crystallographic Defects on Reliability of Thermal Oxides on C-Face." Materials Science Forum 717-720 (May 2012): 789–92. http://dx.doi.org/10.4028/www.scientific.net/msf.717-720.789.

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The causes of extrinsic failures in time-dependent dielectric breakdown characteristics of gate oxide on C-face of 4H-SiC are examined by comparing breakdown points of tested gate oxides with the images of X-ray topography and those of differential interference contrast microscopy. We have concluded as follows: (1) surface morphological defects that originate from threading screw dislocations degrade reliability of gate oxides. (2) These surface defects are not necessarily found on every wafer. (3) Crystallographic defects are not killer defects of MOSFET per se.

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Rodriguez-Lozano, Francisco J., Fernando León-García, M. Ruiz de Adana, Jose M. Palomares, and J. Olivares. "Non-Invasive Forehead Segmentation in Thermographic Imaging." Sensors 19, no. 19 (2019): 4096. http://dx.doi.org/10.3390/s19194096.

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The temperature of the forehead is known to be highly correlated with the internal body temperature. This area is widely used in thermal comfort systems, lie-detection systems, etc. However, there is a lack of tools to achieve the segmentation of the forehead using thermographic images and non-intrusive methods. In fact, this is usually segmented manually. This work proposes a simple and novel method to segment the forehead region and to extract the average temperature from this area solving this lack of non-user interaction tools. Our method is invariant to the position of the face, and other

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Budzan, Sebastian, and Roman Wyżgolik. "Face and eyes localization algorithm in thermal images for temperature measurement of the inner canthus of the eyes." Infrared Physics & Technology 60 (September 2013): 225–34. http://dx.doi.org/10.1016/j.infrared.2013.05.007.

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Gasparro, Roberta, Grazia Leonetti, Michele Riccio, et al. "Thermography as a Method to Detect Dental Anxiety in Oral Surgery." Applied Sciences 11, no. 12 (2021): 5421. http://dx.doi.org/10.3390/app11125421.

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(1) Background: the aim of this study was to evaluate if dental anxiety can be measured objectively using thermal infrared imaging. (2) Methods: Patients referred to the Department of Oral Surgery of the University of Naples Federico II and requiring dental extractions were consecutively enrolled in the study. Face thermal distribution images of the patients were acquired before and during their first clinical examination using infrared thermal cameras. The data were analyzed in relation to five regions of interest (ROI) of the patient’s face (nose, ear, forehead, zygoma, chin). The difference

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Seal, Ayan, Debotosh Bhattacharjee, and Mita Nasipuri. "Human face recognition using random forest based fusion of à-trous wavelet transform coefficients from thermal and visible images." AEU - International Journal of Electronics and Communications 70, no. 8 (2016): 1041–49. http://dx.doi.org/10.1016/j.aeue.2016.04.016.

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Jamrozik, Wojciech, and Jacek Górka. "Detection of slag inclusions using infrared thermal imagining system." MATEC Web of Conferences 338 (2021): 01012. http://dx.doi.org/10.1051/matecconf/202133801012.

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Assuring high quality of welded joins is a vital task in many industrial branches also when joints are made manually. It is the case metal-arc welding with covered electrode. One of main imperfection, that can occur in this process is slag inclusion. In the paper an method for detection of slag inclusion in multipass manual welding is proposed and validated. The key idea of the method is that small temperature disturbances will be noticeable in consecutive cross-section of joint in the cooling pass. Temperature distribution weld face was measured with longwave infrared camera (LWIR). For conse

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Wei, Wei, Jian Wei Yu, Tao You, Xiao Fen Yu, and Yong Hong Wang. "Evaluation of the Transient Temperature Distribution of End-Face Sliding Friction Pair Using Infrared Thermometry." Key Engineering Materials 613 (May 2014): 213–18. http://dx.doi.org/10.4028/www.scientific.net/kem.613.213.

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A real-time temperature measurement system was designed for end-face sliding friction pairs with an infrared (IR) probe and IR thermography installed on it. The approximate temperature of contact surface was measured by the probe while non-contact surface’s temperature distribution was determined with the IR thermography. Two experiments with constant load but varied rotational speeds were carried out, and a preliminary study was made to analyze the variation of temperature in the friction process. Furthermore, the probe data was used as thermal load to calculate the temperature field by the F

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Delgado, Cristina, Vitor Gonçalves, Saúl Blanco, and Salomé F. P. Almeida. "A new diatom (Bacillariophyceae) species from a thermal spring in Azores archipelago (São Miguel island, Atlantic Ocean)." Botanical Sciences 99, no. 1 (2020): 169–81. http://dx.doi.org/10.17129/botsci.2680.

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Background: Due to their isolation, islands offer excellent areas for the study of distribution of benthic diatoms. On the other hand, diatoms bearing canal raphe have received less attention compared to other groups of diatoms such as Navicula, Pinnularia or Amphora. Questions: Is it possible that thermal springs on islands offer a refuge for infrequent diatom species? Studied species: Platichthys furnensis C. Delgado, V. Gonçalves & S.F.P. Almeida sp. nov. Study site and dates: The species here described was collected in the epilithon of a thermal spring in São Miguel I

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Zefri, Yahya, Achraf ElKettani, Imane Sebari, and Sara Ait Lamallam. "Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: Morocco." Drones 2, no. 4 (2018): 41. http://dx.doi.org/10.3390/drones2040041.

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Being sustainable, clean, and eco-friendly, photovoltaic technology is considered as one of the most hoped solutions face to worldwide energetic challenges. Morocco joins this context with the inauguration of numerous clean energy projects. However, one key factor in making photovoltaic installations a profitable investment are regular and effective inspections in order to detect occurred defects. Unmanned aerial vehicles (UAV) are increasingly used in various inspection fields. In this respect, this work focuses on the use of thermal and visual imagery taken by UAV in the inspection of photov

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Samadiani, Huang, Cai, et al. "A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data." Sensors 19, no. 8 (2019): 1863. http://dx.doi.org/10.3390/s19081863.

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Facial Expression Recognition (FER) can be widely applied to various research areas, such as mental diseases diagnosis and human social/physiological interaction detection. With the emerging advanced technologies in hardware and sensors, FER systems have been developed to support real-world application scenes, instead of laboratory environments. Although the laboratory-controlled FER systems achieve very high accuracy, around 97%, the technical transferring from the laboratory to real-world applications faces a great barrier of very low accuracy, approximately 50%. In this survey, we comprehen

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Dumke, M., and M. Krause. "Radio and Polarization Properties in the Disk and Halo of Edge-On Spirals." International Astronomical Union Colloquium 166 (1997): 555–58. http://dx.doi.org/10.1017/s0252921100071608.

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AbstractWe have observed a small sample of edge-on galaxies in total and linearly polarized radio continuum emission at λ6.2 cm, using the Effelsberg 100m telescope. The resulting maps were combined with available VLA data in order to obtain high-sensitivity radio images which have a sufficient angular resolution and do not suffer from the so-called missing-spacing problem.From an analysis of these images (together with 2.8cm and 20cm data) we get the following results: 1. The radio emission perpendicular to the plane can be described by a two-component exponential distribution with scale-heig

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Gene, Salahudeen A., Elias B. Saion, Abdul Halim Shaari, Mazliana A. Kamarudeen, and Naif Mohammed Al-Hada. "Fabrication and Characterization of Nanospinel ZnCr₂O₄ Using Thermal Treatement Method." Advanced Materials Research 1107 (June 2015): 301–7. http://dx.doi.org/10.4028/www.scientific.net/amr.1107.301.

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The fabrication of nanospinel zinc chromite (ZnCr2O4) crystals by the means of thermal treatment method from an aqueous solution containing metal nitrates, polyvinyl pyrrolidone (PVP), and deionized water was described in this study. The samples were calcined at various temperatures ranging from 773 to 973 K for the decomposition of the organic compounds and crystallization of the nanocrystals. PVP was used as capping agent to control the agglomeration of the particles. The characterization studies of the fabricated samples were carried out by X-ray diffraction spectroscopy (XRD), transmission

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Ali, Salman, and Baofeng Li. "Evaluating the Impact of the Morphological Transformation of Urban Sites on the Urban Thermal Microenvironment." Buildings 8, no. 12 (2018): 182. http://dx.doi.org/10.3390/buildings8120182.

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Tropical cities currently face issues of climate change resulting from rapid urbanization and the impact of urban morphological transformations on the microclimate. The analysis of urban physical forms and patterns is a realisticmethodfor quantifying these impacts. This work examined the impact of morphological transformations of an urban site in Wuhan, China, on the microthermal environment at different time periods. We also quantified and compared the impact of four urban site morphologies on ambient air temperature. The morphological changes of the study site were inferred from Google Earth

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Hossain, Mohammad Sharif, Muhammed Shah Miran, Md Rokonujjaman, Md Abu Bin Hasan Susan, M. Yousuf A. Mollah, and MM Rahman. "Synthesis of Nickel Nanoparticles Using Poly (Vinyl Alcohol) As A Capping Agent." Journal of the Asiatic Society of Bangladesh, Science 40, no. 2 (2014): 197–205. http://dx.doi.org/10.3329/jasbs.v40i2.46018.

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Nickel nanoparticies (NNPs) were synthesized by reduction of nickel (II) using poiy(vinyl alcohol) (PVA) as a capping agent. The NNPs were characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), energy dispersive X-ray (EDX) spectroscopy and X-ray diffraction (XRD) techniques. The addition of PVA has been found to profoundly influence the size, agglomeration and distribution of NNPs. The average diameters of NNPs are in the range of 3-7 nm in presence of PVA. XRD data indicate that NNPs are crystalline with face centered cubic structures. SEM images show th

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Vincent, F. H., M. A. Abramowicz, A. A. Zdziarski, et al. "Multi-wavelength torus–jet model for Sagittarius A*." Astronomy & Astrophysics 624 (April 2019): A52. http://dx.doi.org/10.1051/0004-6361/201834946.

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Context. The properties of the accretion/ejection flow surrounding the supermassive central black hole of the Galaxy Sgr A* will be scrutinized by the new-generation instrument GRAVITY and the Event Horizon Telescope (EHT). Developing fast, robust, and simple models of such flows is therefore important and very timely. Aims. We want to model the quiescent emission of Sgr A* from radio to mid-infrared wavelengths, using thermal and nonthermal synchrotron. The radiation is emitted by the overlay of a magnetized compact torus close to the black hole, and a large-scale magnetized jet. We compare m

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Nersesian, A., S. Verstocken, S. Viaene, and M. Baes. "High-resolution radiation transfer modelling of barred galaxies." Proceedings of the International Astronomical Union 15, S341 (2019): 65–69. http://dx.doi.org/10.1017/s1743921319002643.

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AbstractDust radiative transfer simulations provide us with the unique opportunity to study the heating mechanisms of dust by the stellar radiation field. From 2D observational images we derive the 3D distributions of stars and dust. Our aim is to analyze the contribution of the different stellar populations to the radiative dust heating processes in the nearby face-on barred galaxies NGC 1365, M 83 and M 95. We wish to decompose the FIR-submm SED and quantify the fraction directly related to star formation. To model the complex geometries mentioned above, we used SKIRT, a state-of-the-art, 3D

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Rahman, MD Abdur, M. Shamim Hossain, Nabil A. Alrajeh, and B. B. Gupta. "A Multimodal, Multimedia Point-of-Care Deep Learning Framework for COVID-19 Diagnosis." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1s (2021): 1–24. http://dx.doi.org/10.1145/3421725.

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In this article, we share our experiences in designing and developing a suite of deep neural network–(DNN) based COVID-19 case detection and recognition framework. Existing pathological tests such as RT-PCR-based pathogen RNA detection from nasal swabbing seem to display low detection rates during the early stages of virus contraction. Moreover, the reliance on a few overburdened laboratories based around an epicenter capable of supplying large numbers of RT-PCR tests makes this testing method non-scalable when the rate of infections is high. Similarly, finding an effective drug or vaccine wit

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