Log in

Relevant bibliographies by topics / Thermal object / Journal articles

To see the other types of publications on this topic, follow the link: Thermal object.

Journal articles on the topic 'Thermal object'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Thermal object.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Teju, Ventrapragada, Kambhampati Venkata Sowmya, Srinivasa Rao Kandula, Anca Stan, and Ovidiu Petru Stan. "A Hybrid Retina Net Classifier for Thermal Imaging." Applied Sciences 13, no. 14 (2023): 8525. http://dx.doi.org/10.3390/app13148525.

Full text

Abstract:

Thermal imaging is a cutting-edge technology which has the capability to detect objects in any environmental conditions, such as smoke, fog, smog, etc. This technology finds its importance mainly during nighttime since it does not require light to detect the objects. Applications of this technology span into various sectors, most importantly in border security to detect any incoming hazards. Object detection and classification are generally difficult with thermal imaging. In this paper, a one-stage deep convolution network-based object detection and classification called retina net is introduc

APA, Harvard, Vancouver, ISO, and other styles

2

Kostyleva, Liliya Yu, Oleg V. Loginovskiy, Evgeniya A. Retc, and Igor M. Yachikov. "Possibilities of using mathematical models for thermal nondestructive testing of defects in multilayer bimetallic plates." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 22, no. 1 (2022): 53–64. http://dx.doi.org/10.14529/ctcr220104.

Full text

Abstract:

There is an actual task of delamination detection in multilayer bimetallic materials. Various methods of nondestructive testing (NDT) are used to solve it, including the method of transient thermal NDT. This method consists in remote registration, visualization and analysis of thermal (temperature) fields, which depend on thermophysical and geometric characteristics, thermal effect capacity and internal structure features of the object. The internal structure defects cause the appearance of abnormal temperature zones on the object surface. Their analysis allows us to judge the presence of chan

APA, Harvard, Vancouver, ISO, and other styles

3

PHADKE, Anuradha, Rucha VAIKAR, Avni KHETRAPAL, and Mehul VERMA. "Object Detection on Thermal Images: Performance of Yolov4 vs Yolov4 Tiny trained on Custom Datasets." Electrotehnica, Electronica, Automatica 72, no. 3 (2024): 53–61. http://dx.doi.org/10.46904/eea.23.72.3.1108006.

Full text

Abstract:

The process of identifying and pinpointing the location of objects within an image or video is a crucial task in computer vision, known as object detection. While there has been significant progress in object detection using conventional optical RGB images, there has been comparatively less research done on object detection using thermal images. Thermal imaging has the advantage of being able to capture images in low light or even complete darkness, making it an attractive technology for surveillance applications. However, due to the scarcity of publicly available thermal image datasets, the d

APA, Harvard, Vancouver, ISO, and other styles

4

Morgan, D., and R. Henda. "Object-oriented Thermal Radiation Simulator." Education for Chemical Engineers 1, no. 1 (2006): 101–15. http://dx.doi.org/10.1205/ece06010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Sipahutar, Mita Erlida, Sinar Sinurat, and Imam Saputra. "Peningkatan Kualitas Citra Termal Menggunakan Metode Blind Deconvolution." Building of Informatics, Technology and Science (BITS) 3, no. 2 (2021): 79–87. http://dx.doi.org/10.47065/bits.v3i2.133.

Full text

Abstract:

Temperature is a quantity that indicates the degree of heat of an object. The higher the temperature of an object, the hotter the object. Thermal imagery is an image created with thermal infrared spectrum that utilizes the temperature of an object. Sensing on this spectrum is based on differences in the temperature of the object and its emission power in the image which is reflected by the difference in hue or color. The sensor used in thermal images is noncamera based on scanning. In thermal imagery, there is a problem, namely blurred / blurred images that make it difficult to obtain informat

APA, Harvard, Vancouver, ISO, and other styles

6

Dash, Yajnaseni, Vinayak Gupta, Ajith Abraham, and Swati Chandna. "Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression." Journal of Imaging 11, no. 3 (2025): 69. https://doi.org/10.3390/jimaging11030069.

Full text

Abstract:

The advancement of technology has ushered in remote sensing with the adoption of high-altitude infrared thermal object detection to leverage the distinct advantages of high-altitude platforms. These new technologies readily capture the thermal signatures of objects from an elevated point, generally unmanned aerial vehicles or drones, and thus allow for the enhancement of the detection and monitoring of extensive areas. This study explores the application of YOLOv8’s advanced architecture, as well as dynamic magnitude-based pruning techniques paired with non-maximum suppression for high-altitud

APA, Harvard, Vancouver, ISO, and other styles

7

Мигущенко, Руслан Павлович, Ольга Юріївна Кропачек, Лілія Степанівна Шустік, and Катерина Русланівна Мигущенко. "LABORATORY STUDIES OF MATHEMATICAL MODELS THERMAL OBJECTS." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 2 (June 4, 2023): 4–11. http://dx.doi.org/10.20998/2411-3441.2022.2.01.

Full text

Abstract:

Is devoted to the development and analysis of mathematical models of thermal objects. The extruder adopted as a thermal object is a vivid example of multi-zone pass-through technological units, the value of which is enormous for the domestic economy. In the article, the replacement of a real industrial object with a laboratory sample is carried out to work out the methodology of practical identification when obtaining a mathematical model with its subsequent analysis. A positive result is able to transfer the obtained results to a real technological unit. In the article, the object of research

APA, Harvard, Vancouver, ISO, and other styles

8

Sadek, Toufic Abd El-Latif, Yousef Attalah, and Ghaleb Faour. "Optimal Timing for Capturing Satellite Thermal Images of Asphalt Object." European Scientific Journal, ESJ 12, no. 3 (2016): 235. http://dx.doi.org/10.19044/esj.2016.v12n3p235.

Full text

Abstract:

The best extraction of asphalt object from satellite thermal images is the aim of the study. The best original data of thermal images occurred at a specific times during the days of the year. by preventing the gaps in times which give the close and same brightness from different objects. Finally, to achieve easy and efficient extraction of asphalt object from the satellite thermal images and then better analysis. The study were done using seven sample objects, asphalt, concrete, metal, rock, dry soil, vegetation, and water, located at one place carefully investigated in a way that all the obje

APA, Harvard, Vancouver, ISO, and other styles

9

Turmaganbet, U. K., D. M. Zhexebay, D. A. Turlykozhayeva, et al. "THERMAL INFRARED OBJECT DETECTION WITH YOLO MODELS." Eurasian Physical Technical Journal 22, no. 2 (52) (2025): 121–32. https://doi.org/10.31489/2025n2/121-132.

Full text

Abstract:

Object detection is a fundamental task in computer vision and remote sensing, aimed at recognizing and categorizing different types of objects within images. Unmanned aerial vehicle - based thermal infrared remote sensing provides crucial multi-scenario images and videos, serving as key data sources in public applications. However, object detection in these images remains challenging due to complex scene information, lower resolution compared to visible-spectrum videos, and a shortage of publicly available labeled datasets and trained models. This article introduces a Unmanned aerial vehicle -

APA, Harvard, Vancouver, ISO, and other styles

10

Головин, Д. Ю., А. И. Тюрин, А. А. Самодуров та Ю. И. Головин. "Определение температуропроводности материалов методом нестационарного точечного нагрева". Письма в журнал технической физики 46, № 1 (2020): 39. http://dx.doi.org/10.21883/pjtf.2020.01.48863.18052.

Full text

Abstract:

Express thermographic method for measuring thermal diffusivity of thin flat objects is described in the paper. It could be considered as modification or a branch of laser flash method, however it does not require sample cutting or two side access to the object. The method comprises step-like heating of the small area (~ 0.1 mm2) at the object surface by focused laser beam and continuous recording temperature distribution at the surface by thermal camera. Developed data processing technique does not require information about absolute temperatures or absorbed energy for determination of thermal

APA, Harvard, Vancouver, ISO, and other styles

11

Fedynets, Vasyl, and Ihor Vasylkivskyi. "Peculiarities of Application of Contact Methods for Measuring the Temperature of Technological Objects." Energy engineering and control systems 11, no. 1 (2025): 62–68. https://doi.org/10.23939/jeecs2025.01.062.

Full text

Abstract:

Contact methods are usually used to measure the temperature of industrial technological objects. When using the contact method to create the necessary conditions for heat exchange, thermal transducer must be in direct contact with the object of study, the temperature of which must be measured. When measuring stationary temperatures, the readings must be taken after a certain time interval from the moment of contact of the thermal transducer with the object of study, when a state of thermal equilibrium is established between them. Measurement of non-stationary temperatures by contact methods is

APA, Harvard, Vancouver, ISO, and other styles

12

Pavlovic, Milan, Ivan Ciric, Danijela Ristic-Durrant, et al. "Advanced thermal camera based system for object detection on rail tracks." Thermal Science 22, Suppl. 5 (2018): 1551–61. http://dx.doi.org/10.2298/tsci18s5551p.

Full text

Abstract:

In this paper, an advanced thermal camera-based system for detection of objects on rail tracks is presented. Developed system is powered by advanced image processing algorithm, in order to achieve greater reliability and robustness, and tested on set of infrared images captured at night conditions. The goal of this system is to detect objects on rail tracks and next to them and estimate distances between camera stand and detected objects. For that purpose, different edge detection methods are tested, and finally Canny edge detector is selected for rail track detection and for determination of

APA, Harvard, Vancouver, ISO, and other styles

13

Mingalev, A. V., A. V. Belov, I. M. Gabdullin, R. R. Agafonova, and S. N. Shusharin. "Test-object recognition in thermal images." Computer Optics 43, no. 3 (2019): 402–11. http://dx.doi.org/10.18287/2412-6179-2019-43-3-402-411.

Full text

Abstract:

The paper presents a comparative analysis of several methods for recognition of test-object position in a thermal image when setting and testing characteristics of thermal image channels in an automated mode. We consider methods of image recognition based on the correlation image comparison, Viola-Jones method, LeNet classificatory convolutional neural network, GoogleNet (Inception v.1) classificatory convolutional neural network, and a deep-learning-based convolutional neural network of Single-Shot Multibox Detector (SSD) VGG16 type. The best performance is reached via using the deep-learning

APA, Harvard, Vancouver, ISO, and other styles

14

Ligocki, Adam, Ales Jelinek, Ludek Zalud, and Esa Rahtu. "Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data." Sensors 21, no. 4 (2021): 1552. http://dx.doi.org/10.3390/s21041552.

Full text

Abstract:

One of the biggest challenges of training deep neural network is the need for massive data annotation. To train the neural network for object detection, millions of annotated training images are required. However, currently, there are no large-scale thermal image datasets that could be used to train the state of the art neural networks, while voluminous RGB image datasets are available. This paper presents a method that allows to create hundreds of thousands of annotated thermal images using the RGB pre-trained object detector. A dataset created in this way can be used to train object detector

APA, Harvard, Vancouver, ISO, and other styles

15

Sardjito and Nani Yuningsih. "Determination of Object Temperature Influenced by Ambient Temperature as a Solution of Newton’s Law of Cooling or Heating Rates." South Florida Journal of Development 2, no. 3 (2021): 4563–73. http://dx.doi.org/10.46932/sfjdv2n3-058.

Full text

Abstract:

Thermal physics experiments often require accurate data about the thermal condition of the observed object so that its temperature should be measured. The object temperature, which is observed directly using a measuring instrument, does not represent its actual thermal condition because there is an influence of the object temperature and the ambient temperature differences, especially if the object is not in adiabatic isolation. Newton’s Law on cooling or heating rate is used to determine the actual object temperature if the ambient influence is eliminated. The method used in this research is

APA, Harvard, Vancouver, ISO, and other styles

16

Brickner, Michael S., and Amir Zvuloni. "The Effect of Polarity on Object Recognition in Thermal Images." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 1 (1993): 137–41. http://dx.doi.org/10.1177/154193129303700132.

Full text

Abstract:

Thermal imaging (TI) systems, transform the distribution of relative temperatures in a scene into a visible TV image. TIs differ significantly from regular TV images. Most TI systems allow their operators to select preferred polarity which determines the way in which gray shades represent different temperatures. Polarity may be set to either black hot (BH) or white hot (WH). The present experiments were designed to investigate the effects of polarity on object recognition performance in TI and to compare object recognition performance of experts and novices. In the first experiment, twenty fli

APA, Harvard, Vancouver, ISO, and other styles

17

Montezuma, Sandra R., Susan Y. Sun, Arup Roy, Avi Caspi, Jessy D. Dorn, and Yingchen He. "Improved localisation and discrimination of heat emitting household objects with the artificial vision therapy system by integration with thermal sensor." British Journal of Ophthalmology 104, no. 12 (2020): 1730–34. http://dx.doi.org/10.1136/bjophthalmol-2019-315513.

Full text

Abstract:

AimTo demonstrate the potential clinically meaningful benefits of a thermal camera integrated with the Argus II, an artificial vision therapy system, for assisting Argus II users in localising and discriminating heat-emitting objects.MethodsSeven blind patients implanted with Argus II retinal prosthesis participated in the study. Two tasks were investigated: (1) localising up to three heat-emitting objects by indicating the location of the objects and (2) discriminating a specific heated object out of three presented on a table. Heat-emitting objects placed on a table included a toaster, a fla

APA, Harvard, Vancouver, ISO, and other styles

18

Карпов, Д., and Denis Karpov. "THE ACTIVE METHOD OF CONTROL THE THERMAL CONDUCTIVITY OF BUILDING MATERIALS AND PRODUCTS." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 4, no. 7 (2019): 57–62. http://dx.doi.org/10.34031/article_5d35d0b79c34c5.75173950.

Full text

Abstract:

Thermal control refers to non-destructive testing methods. There are passive and active thermal non-destructive testing. With passive thermal control, the test object is characterized by a temperature field formed during its operation. With active thermal control, an additional source of thermal stimulation of the controlled object is used. Thermal control is widely used in various sectors of construction, energy, engineering and transport. The paper proposes a variant of active thermal non-destructive control of thermal conductivity coefficient of building materials and products on the exampl

APA, Harvard, Vancouver, ISO, and other styles

19

Hahn, Bongsu. "Research and Conceptual Design of Sensor Fusion for Object Detection in Dense Smoke Environments." Applied Sciences 12, no. 22 (2022): 11325. http://dx.doi.org/10.3390/app122211325.

Full text

Abstract:

In this paper, we propose a conceptual framework for a sensor fusion system that can detect objects in a dense smoke environment with a visibility of less than 1 m. Based on the review of several articles, we determined that by using a single thermal IR camera, a single Frequency-Modulated Continuous-Wave (FMCW) radar, and multiple ultrasonic sensors simultaneously, the system can overcome the challenges of detecting objects in dense smoke. The four detailed methods proposed are as follows: First, a 3D ultrasonic sensor system that detects the 3D position of an object at a short distance and i

APA, Harvard, Vancouver, ISO, and other styles

20

Kniaz, V. V., and P. Moshkantseva. "OBJECT RE-IDENTIFICATION USING MULTIMODAL AERIAL IMAGERY AND CONDITIONAL ADVERSARIAL NETWORKS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-2/W1-2021 (April 15, 2021): 131–36. http://dx.doi.org/10.5194/isprs-archives-xliv-2-w1-2021-131-2021.

Full text

Abstract:

Abstract. Object Re-Identification (ReID) is the task of matching a given object in the new environment with its image captured in a different environment. The input for a ReID method includes two sets of images. The probe set includes one or more images of the object that must be identified in the new environment. The gallery set includes images that may contain the object from the probe image. The ReID task’s complexity arises from the differences in the object appearance in the probe and gallery sets. Such difference may originate from changes in illumination or viewpoint locations for mult

APA, Harvard, Vancouver, ISO, and other styles

21

Deng, Biao, Di Liu, Yang Cao, Hong Liu, Zhiguo Yan, and Hu Chen. "CFRNet: Cross-Attention-Based Fusion and Refinement Network for Enhanced RGB-T Salient Object Detection." Sensors 24, no. 22 (2024): 7146. http://dx.doi.org/10.3390/s24227146.

Full text

Abstract:

Existing deep learning-based RGB-T salient object detection methods often struggle with effectively fusing RGB and thermal features. Therefore, obtaining high-quality features and fully integrating these two modalities are central research focuses. We developed an illumination prior-based coefficient predictor (MICP) to determine optimal interaction weights. We then designed a saliency-guided encoder (SG Encoder) to extract multi-scale thermal features incorporating saliency information. The SG Encoder guides the extraction of thermal features by leveraging their correlation with RGB features,

APA, Harvard, Vancouver, ISO, and other styles

22

Дреус, А. Ю., М. М. Дронь, О. І. Губін та Л. Г. Дубовик. "МОДЕЛЮВАННЯ ПРОЦЕСІВ АЕРОДИНАМІЧНОГО НАГРІВУ І ПЛАВЛЕННЯ КОСМІЧНИХ ОБ’ЄКТІВ В АТМОСФЕРІ ЗЕМЛІ". System design and analysis of aerospace technique characteristics 30, № 1 (2022): 20–34. http://dx.doi.org/10.15421/472203.

Full text

Abstract:

The results of modeling the processes of thermal destruction of large-sized space debris objects due to aerodynamic heating and melting in the upper atmosphere are presented in order to determine the feasibility of using a combined method for their de-orbiting. The cylindrical and spherical models of space debris elements were considered to estimation of the parameters of thermal destruction. The guess, that melt layer which is formed on an object surface, is carried away by a running atmospheric flow, was assumed. The value of heat flux depends on the location on the body surface, thus, two c

APA, Harvard, Vancouver, ISO, and other styles

23

Karpov, Denis, Mikhail Pavlov, Liliya Mukhametova, and Anton A. Mikhin. "Features and results of assessment the thermal conductivity of building materials and products by the active method of thermal non-destructive testing." E3S Web of Conferences 220 (2020): 01053. http://dx.doi.org/10.1051/e3sconf/202022001053.

Full text

Abstract:

Thermal control (passive and active) is a non-destructive testing method. During passive thermal control, the test object is characterized by a temperature field formed during its operation. In active thermal control, the test object is additionally thermally stimulated. This technique is widely used in various areas of construction, energy, mechanical engineering, transport. This paper proposes a variant of active thermal non-destructive assessment of the thermal conductivity coefficient of building materials and products on the example of a fragment of a building structure made of silicate b

APA, Harvard, Vancouver, ISO, and other styles

24

Bieszczad, Grzegorz, Tomasz Sosnowski, Krzysztof Sawicki, Sławomir Gogler, Andrzej Ligienza, and Mariusz Mścichowski. "A Network of Miniature Thermal Imaging Sensors for Object Detection and Tracking." Pomiary Automatyka Robotyka 25, no. 4 (2021): 57–66. http://dx.doi.org/10.14313/par_242/57.

Full text

Abstract:

This paper presents a concept and implementation of an infrared imaging sensor network for object localization and tracking. The sensor network uses multiple low-resolution (80× 80 pixels) microbolometric thermal cameras to detect, track and locate an object within the area of observation. The network uses information simultaneously acquired from multiple sensors to detect and extract additional information about object’s location. The use of thermal-imaging systems responsive to objects’ natural infrared radiation, makes the system resistant to external illumination and environmental conditio

APA, Harvard, Vancouver, ISO, and other styles

25

Gritzo, Louis A., and Vernon F. Nicolette. "Coupling of Large Fire Phenomenon with Object Geometry and Object Thermal Response." Journal of Fire Sciences 15, no. 6 (1997): 427–42. http://dx.doi.org/10.1177/073490419701500601.

Full text

Abstract:

The effect of an object in or near a large fire on the physical pro cesses which result in the heat flux from the fire is defined by the object geometry and temperature, and therefore the fire phenomena and the object physical states can be coupled. Two primary modes of coupling, radiative and convective, and their relative influence on heat flux, are investigated using observations from ex perimental data and numerical simulations. Radiative coupling occurs when a comparatively cold object reduces the incident heat flux (by up to 65%) due to radiative cooling of nearby media. Convective coupl

APA, Harvard, Vancouver, ISO, and other styles

26

Krstulović-Opara, Lovre, Endri Garafulić, Branko Klarin, and Željko Domazet. "Application of Gradient Based IR Thermography to the GRP Structures Inspection." Key Engineering Materials 488-489 (September 2011): 682–85. http://dx.doi.org/10.4028/www.scientific.net/kem.488-489.682.

Full text

Abstract:

The article presents application of non destructive testing method based on the pulse heating infrared thermography used to detect material anomalies for the case of glass reinforced polymer structures. The goal of presented research, based on the thermal gradient approach, is to establish the procedure capable of filtering out anomalies from other thermal influences caused by thermal reflections of surrounding objects, geometry influences and heat flows for observed object.

APA, Harvard, Vancouver, ISO, and other styles

27

Ho, Hsin-Ni, Hiu Mei Chow, Sayaka Tsunokake, and Warrick Roseboom. "Thermal-Tactile Integration in Object Temperature Perception." IEEE Transactions on Haptics 12, no. 4 (2019): 594–603. http://dx.doi.org/10.1109/toh.2019.2894153.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Xia, Haiping, Yunhao Chen, Jinling Quan, and Jing Li. "Object-Based Window Strategy in Thermal Sharpening." Remote Sensing 11, no. 6 (2019): 634. http://dx.doi.org/10.3390/rs11060634.

Full text

Abstract:

The trade-off between spatial and temporal resolutions has led to the disaggregation of remotely sensed land surface temperatures (LSTs) for better applications. The window used for regression is one of the primary factors affecting the disaggregation accuracy. Global window strategies (GWSs) and local window strategies (LWSs) have been widely used and discussed, while object-based window strategies (OWSs) have rarely been considered. Therefore, this study presents an OWS based on a segmentation algorithm and provides a basis for selecting an optimal window size balancing both accuracy and eff

APA, Harvard, Vancouver, ISO, and other styles

29

Nilsson, B., and J. Eborn. "Object-oriented modelling of thermal power plants." Mathematical and Computer Modelling of Dynamical Systems 4, no. 3 (1998): 207–18. http://dx.doi.org/10.1080/13873959808837078.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Wang, Yi Wen, Huan Rui Hao, Xian Li Liu, and Cai Xu Yue. "Emissivity Calibration and Research of Infrared Image Processing in the Cutting Temperature Test." Applied Mechanics and Materials 10-12 (December 2007): 928–33. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.928.

Full text

Abstract:

It is by the emissivity of the goal objects and the noise problem of the high temperature images that people are puzzled during the course of the cutting temperature tested by the application of thermal imaging device. By using thermocouples, and getting the comparison of thermocouples and the thermal imaging system temperature, we calibrate object emissivity, handle the image noise by improved median method, carry on the edge extraction of image, obtain the temperature of measured objects, and finally confirm the accuracy of the data got by the thermal imaging device with contact measurement.

APA, Harvard, Vancouver, ISO, and other styles

31

Yamamoto, Akio, Hiroaki Yamamoto, Benjamin Cros, Hironori Hashimoto, and Toshiro Higuchi. "Thermal Tactile Presentation Based on Prediction of Contact Temperature." Journal of Robotics and Mechatronics 18, no. 3 (2006): 226–34. http://dx.doi.org/10.20965/jrm.2006.p0226.

Full text

Abstract:

The thermal sensation corresponding to the touching of an object is one of the most important factors in material recognition. In virtual reality or tele-operation systems, thermal display functions should be embedded in order to obtain satisfactory realism. Since our skin sensors are sensitive to rapid changes in temperature, thermal sensations are thought to arise mainly from the rapid temperature decrease that occurs at the moment of contact between our fingers and an object. Based on this consideration, the present paper proposes a new control method for thermal tactile display to simulate

APA, Harvard, Vancouver, ISO, and other styles

32

BOSCH-RAMON, VALENTÍ. "NON-THERMAL EMISSION FROM GALACTIC JETS." International Journal of Modern Physics: Conference Series 08 (January 2012): 84–95. http://dx.doi.org/10.1142/s201019451200445x.

Full text

Abstract:

Jets are ubiquitous in the Universe. They are collimated outflows whose origin is associated to an accretion disc and a central object, and can be very powerful non-thermal emitters. Jets form in active galactic nuclei, gamma-ray bursts, microquasars, and young stellar objects. Galactic jets emitting non-thermal emission are typically associated to microquasars, although the jets of massive young stellar objects are also non-thermal sources. The production of non-thermal radiation, in particular radio synchrotron emission, is a clear indication that particle acceleration is taking place in the

APA, Harvard, Vancouver, ISO, and other styles

33

Mitra, Abhas, and Krishna Kumar Singh. "Thermal Radiation from Compact Objects in Curved Space-Time." Universe 8, no. 10 (2022): 504. http://dx.doi.org/10.3390/universe8100504.

Full text

Abstract:

We highlight here the fact that the distantly observed luminosity of a spherically symmetric compact star radiating thermal radiation isotropically is higher by a factor of (1+zb)2 compared to the corresponding flat space-time case, where zb is the surface gravitational redshift of the compact star. In particular, we emphasize that if the thermal radiation is indeed emitted isotropically along the respective normal directions at each point, this factor of increment (1+zb)2 remains unchanged even if the compact object would lie within its photon sphere. Since a canonical neutron star has zb≈0.1

APA, Harvard, Vancouver, ISO, and other styles

34

Tkachuk, А. H., O. M. Bezvesilna, and О. О. Dobrzhanskyi. "AUTOMATED SYSTEM BASED ON A MOBILE PLATFORM WITH AUTONOMOUS STABILIZATION FOR MEASURING THERMAL INDICATORS OF OBJECTS." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì, no. 1(22) (2023): 36–44. http://dx.doi.org/10.32684/2412-5288-2023-1-22-36-44.

Full text

Abstract:

Mobile robotic platforms are autonomous devices consisting of mechanical, electrical and electronic components that allow them to move on land, water or in the air. These platforms can be used in a variety of industries, including medicine, industry, research and intelligence, and military applications. The article deals with a new automated system with autonomous stabilization based on a mobile platform for measuring the thermal indicators of objects. The developed 3D model of a mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system is

APA, Harvard, Vancouver, ISO, and other styles

35

Ambrogio, Simone, Melo Baesso Raphaela de, Filippo Bosio, et al. "A standard test phantom for the performance assessment of magnetic resonance guided high intensity focused ultrasound (MRgHIFU) thermal therapy devices." International Journal of Hyperthermia 39, no. 1 (2021): 57–68. https://doi.org/10.1080/02656736.2021.2017023.

Full text

Abstract:

Purpose: Test objects for High Intensity Focused Ultrasound (HIFU) are required for the standardization and definition of treatment, Quality Assurance (QA), comparison of results between centers and calibration of devices. This study describes a HIFU test object which provides temperature measurement as a function of time, in a reference material compatible with Magnetic Resonance (MR) and ultrasound. Materials and methods: T-Type fine wire thermocouples were used as sensors and 5 correction methods for viscous heating artifacts were assessed. The phantom was tested in a MR-HIFU Philips Sonall

APA, Harvard, Vancouver, ISO, and other styles

36

Semenets, D. "DESIGN OF DIGITAL CONTROLLER FOR THERMAL INERTIAL OBJECT WITH DELAY." Znanstvena misel journal, no. 90 (May 27, 2024): 112–17. https://doi.org/10.5281/zenodo.11358618.

Full text

Abstract:

The paper considers modern methods of regulator tuning for controlling inertial objects with a transport lag link and presents the results of computer modelling at non-stationary lag time. The methodology of tuning analogue and digital automatic systems with PID-regulator with reduced sensitivity to the variation of parameters of the control object is proposed

APA, Harvard, Vancouver, ISO, and other styles

37

Feng, Dong Wu, Gui Li Xu, Biao Wang, Yu Peng Tian, and Yong Qiang Ye. "Optimum Design of the Cooperation Objective for Computer Vision-Based UAV Autonomous Landing." Advanced Materials Research 718-720 (July 2013): 1221–27. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1221.

Full text

Abstract:

In this paper, a novel approach to improve the infrared cooperative object for accurately landing is proposed. We present the designed cooperative object system and the blurring around the object when its working, and then begin our basic research on the cooperative object. We analyzed the formation principle of thermal blurring in the infrared imaging mechanism. After a detailed analysis infrared thermal blurring from thermodynamic principle, we derived the main factors of the infrared thermal blurring, and used Fluent simulation software to simulate the formation of thermal blurring. At the

APA, Harvard, Vancouver, ISO, and other styles

38

Johansen, Anders Skaarup, Kamal Nasrollahi, Sergio Escalera, and Thomas B. Moeslund. "Who Cares about the Weather? Inferring Weather Conditions for Weather-Aware Object Detection in Thermal Images." Applied Sciences 13, no. 18 (2023): 10295. http://dx.doi.org/10.3390/app131810295.

Full text

Abstract:

Deployments of real-world object detection systems often experience a degradation in performance over time due to concept drift. Systems that leverage thermal cameras are especially susceptible because the respective thermal signatures of objects and their surroundings are highly sensitive to environmental changes. In this study, two types of weather-aware latent conditioning methods are investigated. The proposed method aims to guide two object detectors, (YOLOv5 and Deformable DETR) to become weather-aware. This is achieved by leveraging an auxiliary branch that predicts weather-related info

APA, Harvard, Vancouver, ISO, and other styles

39

Akshatha, K. R., A. Kotegar Karunakar, Satish B. Shenoy, Abhilash K. Pai, Nikhil Hunjanal Nagaraj, and Sambhav Singh Rohatgi. "Human Detection in Aerial Thermal Images Using Faster R-CNN and SSD Algorithms." Electronics 11, no. 7 (2022): 1151. http://dx.doi.org/10.3390/electronics11071151.

Full text

Abstract:

The automatic detection of humans in aerial thermal imagery plays a significant role in various real-time applications, such as surveillance, search and rescue and border monitoring. Small target size, low resolution, occlusion, pose, and scale variations are the significant challenges in aerial thermal images that cause poor performance for various state-of-the-art object detection algorithms. Though many deep-learning-based object detection algorithms have shown impressive performance for generic object detection tasks, their ability to detect smaller objects in the aerial thermal images is

APA, Harvard, Vancouver, ISO, and other styles

40

Haider Ali Muften. "A Comparison of the VGG19, InceptionV3, NASNetMobile, and ResNet50 Architectures for Object Classification in Thermal Images." Journal of Information Systems Engineering and Management 10, no. 17s (2025): 740–50. https://doi.org/10.52783/jisem.v10i17s.2849.

Full text

Abstract:

Identifying objects within thermal images is of paramount importance across diverse applications, employing sophisticated machine learning algorithms for precise object localization. Thermal imaging cameras excel at capturing the infrared radiation emitted by objects, enabling visibility through obstacles such as smoke, fog, and darkness. Navigating through thermal images to discern objects mirrors the challenges encountered in traditional visual image analysis. This paper focuses on the development of a convolutional neural network model designed specifically to address multiple classificatio

APA, Harvard, Vancouver, ISO, and other styles

41

Jin, Zhihao, Yuan Li, Dongjue Fan, Caitao Tu, Xuchen Wang, and Shiyong Dang. "Calibration Experiment and Temperature Compensation Method for the Thermal Output of Electrical Resistance Strain Gauges in Health Monitoring of Structures." Symmetry 15, no. 5 (2023): 1066. http://dx.doi.org/10.3390/sym15051066.

Full text

Abstract:

Electrical resistance strain gauges are widely used in asymmetric structures for measurement and monitoring, but their thermal output in changing temperature environments has a significant impact on the measurement results. Since thermal output is related to the coefficient of thermal expansion of the strain gauge’s sensitive grating material and the measured object, the temperature self-compensation technique of strain gauges fails to eliminate the additional strain caused by temperature because it cannot match the coefficient of thermal expansion of various measured objects. To address this

APA, Harvard, Vancouver, ISO, and other styles

42

Zhang, Nai Yan, Jiang Yu, and Juan Zhang. "Study on Superabsorbent Material in Thermal Infrared Camouflage." Advanced Materials Research 941-944 (June 2014): 370–73. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.370.

Full text

Abstract:

Objectives, which is motional on the batter field, such as vehicles, tanks, planes, warships, firing cannons, etc. They are all active objects. On the surface of these objects there have very higher temperatures than around background, they have special pictures, and are easy found by thermal infrared reconnaissance systems. In this study, itaconic acid (IA) was co-polymerized with N, N-diethylacrylamide (DEA) monomer to improve the swelling behavior and the total absorbing water. These copolymer materials were prepared by changing the initial DEA/IA molar ratio and total monomer concentration

APA, Harvard, Vancouver, ISO, and other styles

43

Xi, Xiaoli, Jinxin Wang, Fang Li, and Dongmei Li. "IRSDet: Infrared Small-Object Detection Network Based on Sparse-Skip Connection and Guide Maps." Electronics 11, no. 14 (2022): 2154. http://dx.doi.org/10.3390/electronics11142154.

Full text

Abstract:

Detecting small objects in infrared images remains a challenge because most of them lack shape and texture. In this study, we proposed an infrared small-object detection method to improve the capacity for detecting thermal objects in complex scenarios. First, a sparse-skip connection block is proposed to enhance the response of small infrared objects and suppress the background response. This block is used to construct the detection model backbone. Second, a region attention module is designed to emphasize the features of infrared small objects and suppress background regions. Finally, a batch

APA, Harvard, Vancouver, ISO, and other styles

44

Hoegner, L., and U. Stilla. "BUILDING FACADE OBJECT DETECTION FROM TERRESTRIAL THERMAL INFRARED IMAGE SEQUENCES COMBINING DIFFERENT VIEWS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 55–62. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-55-2015.

Full text

Abstract:

This paper discusses the automatic texturing of building facades from thermal infrared image sequences. A fully automatic method is presented to refine GPS based positions estimating relative orientations of the image sequences including a given building model in a bundle adjustment process. The resulting refined orientation parameters are used to extract partial facade textures from all images and all sequences. The resulting partial textures of every sequence are combined to get complete facade textures in the thermal infrared domain. Textures from different image sequences are combined for

APA, Harvard, Vancouver, ISO, and other styles

45

Skladchykov, I. O., A. S. Momot, R. M. Galagan, H. A. Bohdan, and K. M. Trotsiuk. "Application of YOLOX deep learning model for automated object detection on thermograms." Information extraction and processing 2022, no. 50 (2022): 69–77. http://dx.doi.org/10.15407/vidbir2022.50.069.

Full text

Abstract:

A method of automating the data analysis of thermal imaging systems in the field of safety control is proposed. It has been established that today video surveillance technologies have a number of disadvantages that can be eliminated by using thermal imaging cameras. Analysis of infrared images can be automated in order to reduce percentage of false positives and increase the efficiency of thermal imaging video surveillance systems. A high level of interference, unclear object contours and low image resolution are real problems in automating the object detecting process on thermographic images.

APA, Harvard, Vancouver, ISO, and other styles

46

Nancy, V., and G. Balakrishnan. "De-Noising Thermal Image Based On Haar Wavelet Transform Using Soft Threshold Technique." International Journal of Scientific & Engineering Research 12, no. 12 (2021): 481–86. http://dx.doi.org/10.14299/ijser.2021.12.02.

Full text

Abstract:

The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.

APA, Harvard, Vancouver, ISO, and other styles

47

Miller, David A. B., Linxiao Zhu, and Shanhui Fan. "Universal modal radiation laws for all thermal emitters." Proceedings of the National Academy of Sciences 114, no. 17 (2017): 4336–41. http://dx.doi.org/10.1073/pnas.1701606114.

Full text

Abstract:

We derive four laws relating the absorptivity and emissivity of thermal emitters. Unlike the original Kirchhoff radiation law derivations, these derivations include diffraction, and so are valid also for small objects, and can also cover nonreciprocal objects. The proofs exploit two recent approaches. First, we express all fields in terms of the mode-converter basis sets of beams; these sets, which can be uniquely established for any linear optical object, give orthogonal input beams that are coupled one-by-one to orthogonal output beams. Second, we consider thought experiments using universal

APA, Harvard, Vancouver, ISO, and other styles

48

Voskoboynik, E. "The implementation of a digital system for automatic continuous control object, based on a physical model of the object using a thermal Scada Zenon system." Collection of Research Papers of the National Mining University 64 (2021): 253–63. http://dx.doi.org/10.33271/crpnmu/64.253.

Full text

Abstract:

Purpose. Develop a methodology for the implementation of digital control systems for continuous objects on a personal computer, which should provide: bringing the temperature in the chamber to a given value at a given range of air flow in the system; maintaining the temperature in the chamber at a given level at a given range of air flow in the system; visualization and control of the stand of the thermal object; control of fan speed in order to create a disturbing effect; registration of process parameters in the thermal object. The methods. The development is carried out through the phased i

APA, Harvard, Vancouver, ISO, and other styles

49

Ankit, Dilip Yawale* Prof. V. B. Raskar. "PEDESTRAIN DETECTION BY VIDEO PROCESSING USING THERMAL AND NIGHT VISION SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 1 (2017): 29–38. https://doi.org/10.5281/zenodo.229856.

Full text

Abstract:

The paper describes the use of thermal camera and IR night vision system for the detection of Pedestrians and objects that may cause accident at night time. As per the survey most of the accidents cause is due to low vision ability of human at night time, which leads to most dangerous and higher number of accidents at night with respect to day time. This system include the IR night vision camera which detects the object with the help of IR LED and photodiode pair, this camera have capability to detect the object up to 100m. The thermal camera detects the heat generated by any of the object lik

APA, Harvard, Vancouver, ISO, and other styles

50

Mizginov, V. A., and V. V. Kniaz. "EVALUATING THE ACCURACY OF 3D OBJECT RECONSTRUCTION FROM THERMAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W18 (November 29, 2019): 129–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w18-129-2019.

Full text

Abstract:

Abstract. Thermal cameras are increasingly used in many photogrammetric and computer vision tasks. Nowadays it is possible to detect and recognize objects in infrared images, to solve such tasks as pedestrian detection (Huckridge et al., 2016), security applications, and autonomous driving (Wenbin, Li et al., 2017). Nevertheless, some tasks that are easily solved in the visible range data are still challenging to achieve in the infrared range. Reconstruction of a 3D object model from infrared images is challenging due to the low contrast of the original infrared image, noise of the sensor, and

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!