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Journal articles on the topic 'Objects’ type identification'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Iqbal, Umair, Muhammad Zain Bin Riaz, Johan Barthelemy, Nathanael Hutchison, and Pascal Perez. "Floodborne Objects Type Recognition Using Computer Vision to Mitigate Blockage Originated Floods." Water 14, no. 17 (2022): 2605. http://dx.doi.org/10.3390/w14172605.

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The presence of floodborne objects (i.e., vegetation, urban objects) during floods is considered a very critical factor because of their non-linear complex hydrodynamics and impacts on flooding outcomes (e.g., diversion of flows, damage to structures, downstream scouring, failure of structures). Conventional flood models are unable to incorporate the impact of floodborne objects mainly because of the highly complex hydrodynamics and non-linear nature associated with their kinematics and accumulation. Vegetation (i.e., logs, branches, shrubs, entangled grass) and urban objects (i.e., vehicles,

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Šoliūnas, Alvydas. "Influence of global and local features on parallel object identification." F1000Research 7 (May 24, 2018): 660. http://dx.doi.org/10.12688/f1000research.14468.1.

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Background:The present study concerns parallel and serial processing of visual information, or more specifically, whether visual objects are identified successively or simultaneously in multiple object stimulus. Some findings in scene perception demonstrate the potential parallel processing of different sources of information in a stimulus; however, more extensive investigation is needed.Methods:We presented one, two or three visual objects of different categories for 100 ms and afterwards asked subjects whether a specified category was present in the stimulus. We varied the number of objects,

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Hou, Jiang Liang, Hsiu Hui Cheng, and Hung Lung Lin. "RFID-Enabled Object Relationship Identification." Advanced Materials Research 579 (October 2012): 416–26. http://dx.doi.org/10.4028/www.scientific.net/amr.579.416.

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In the last decade, RFID (Radio Frequency Identification) technology has been applied in many applications to support the routine operations. These methods about RFID applications focus mainly on the specific issues in the application domains. In this study, a generic object relationship identification and guidance model is proposed to identify the relationships between objects (including human beings, physical goods and locations) and guide the objects toward their destination based on their predefined objectives via the RFID. Eight general types of object interactions including searching, bl

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Jánoš, Rudolf, and Jozef Varga. "Identification of Randomly Distributed Objects." Applied Mechanics and Materials 791 (September 2015): 184–88. http://dx.doi.org/10.4028/www.scientific.net/amm.791.184.

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This article describes the possibilities of identifying a randomly distributed objects due to the removal of parts from the conveyor belt, which is part of the workplace for assembly of the components. A specific feature of this work is that the installation is carried out with the robot SCARA, which take parts from the conveyor. Parts on the conveyor are unoriented, therefore it is necessary to use a camera system to detect the position and orientation of parts. Because of this, it is necessary to carry out the control lines across the moving conveyor. Recognition, identification, location an

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Seong, Jae-Dong, Hae-Dong Kim, and Ha-Yeon Choi. "A study of a target identification method for an active debris removal system." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 1 (2016): 180–89. http://dx.doi.org/10.1177/0954410016662065.

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In a preparatory study conducted prior to the development of an active space debris removal system, a method for selecting target debris based on information such as the cumulative collision probability, the operational condition of objects, and their sizes and launch dates was developed for use in the protection of four Korea Multi-Purpose Satellite constellation satellites. This method can be used to select candidate removal targets. Two-line element data are used to identify threatening objects with high cumulative collision probability. Using information in the Satellite Catalog database,

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Pop, Cristian, Sanda Grigorescu, and Arjana Davidescu. "Robot Vision Application for Bearings Identification and Sorting." Applied Mechanics and Materials 162 (March 2012): 523–30. http://dx.doi.org/10.4028/www.scientific.net/amm.162.523.

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An automated object recognition application type, implemented on a robotic platform, is described. It is based on an image processing algorithm that enables: the detection of objects like bearings from a pallet conveyor, the identification of bearings type and the calculus of position and orientation, in order to be manipulated by a SCARA robot. The identification algorithm developed in Matlab software consists in HSV image segmentation and a matching technique based on comparison with previous given set of bearing prototypes. The methods used for camera and robot calibration are also describe

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Bandyopadhyay, Shounak. "MOB-NET-SSD: An Enhanced Real Time Object Identification Approach Based on Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1343–48. https://doi.org/10.22214/ijraset.2025.72405.

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A large, active, and complex field of computer vision dedicated to object identification and recognition is called realtime object detection. Using OpenCV (Open-source Computer Vision), a set of programming methods primarily trained towards real-time computer vision in digital photos and videos, object detection finds the semantic objects in a class. People with visual impairments are unable to recognize objects in their environment. Helping the blind overcome their challenges is the primary goal of this real-time object detection. Applications for real-time object detection include object tra

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Brunet, Catherine, Mark Allen, Marianne Brouty, et al. "COSIM: The necessary evolution of a cross-identification tool along with data evolution." EPJ Web of Conferences 186 (2018): 02004. http://dx.doi.org/10.1051/epjconf/201818602004.

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SIMBAD is a bibliographic added-value database on astronomical objects, where the data on individual objects are cross-identified as far as possible. The data comes exclusively from what has been published by the scientific community. To treat large tables, the work is done semi-automatically with the help of a customized software. Since 2014, we are using a new one, called COSIM (Comparison of Objects for SIMBAD). It meets the new requirements which is a consequence of the evolution of the available astronomical data. It has increased in number, accuracy and diversity. On the basis of the dat

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Viadero-Monasterio, Fernando, Luciano Alonso-Rentería, Juan Pérez-Oria, and Fernando Viadero-Rueda. "Radar-Based Pedestrian and Vehicle Detection and Identification for Driving Assistance." Vehicles 6, no. 3 (2024): 1185–99. http://dx.doi.org/10.3390/vehicles6030056.

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The introduction of advanced driver assistance systems has significantly reduced vehicle accidents by providing crucial support for high-speed driving and alerting drivers to imminent dangers. Despite these advancements, current systems still depend on the driver’s ability to respond to warnings effectively. To address this limitation, this research focused on developing a neural network model for the automatic detection and classification of objects in front of a vehicle, including pedestrians and other vehicles, using radar technology. Radar sensors were employed to detect objects by measuri

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Cave, Carolyn Backer, and Stephen M. Kosslyn. "The Role of Parts and Spatial Relations in Object Identification." Perception 22, no. 2 (1993): 229–48. http://dx.doi.org/10.1068/p220229.

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An investigation of the role of parts and their spatial relations in object identification is reported. At the most general level, two important results were obtained. First, proper spatial relations among components of an object are critical for easy identification. When parts were scrambled on the page, naming times and error rates increased. And, second, the way an object is divided into parts (parsed) affects identification only under the most impoverished viewing conditions. When subjects had as little as 1 s (and sometimes as little as 200 ms) to view an object, the way objects were divi

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Romanenko, Victor, and Vyacheslav Gubarev. "Stages and main tasks of the century-long control theory and system identification development." International Scientific Technical Journal "Problems of Control and Informatics" 68, no. 6 (2023): 5–23. http://dx.doi.org/10.34229/1028-0979-2023-6-1.

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The article provides a review of the mathematical description of the dynamics of continuous and discrete linear stationary systems and objects, used at the development stage of the classical theory of automatic control in the form of mathematical models of the «input-output» type. The time and frequency characteristics of continuous and discrete control systems are described, typical links of stationary systems are considered, parametric discrete models of objects as part of typical digital control loops are presented. Stochastic discrete autoregressive models of stationary time series used to

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LOBUR, Yurii, Kostiantyn VONSEVYCH, and Natalia BEZUGLA. "Spatial identification of manipulable objects for a bionic hand prosthesis." Applied Computer Science 21, no. 1 (2025): 18–30. https://doi.org/10.35784/acs_6867.

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This article presents a method for the spatial identification of objects for bionic upper limb prostheses, utilizing the analysis of digital images captured by an optoelectronic module based on the ESP32-CAM and classified using neural network algorithms, specifically FOMO (MobileNetV2). Modern bionic prostheses that imitate natural limb functions, as well as their advantages and significance for restoring the functionality of the human body, are analysed. An algorithm for a grip-type recognition system is proposed, integrating spatial identification of object shapes with the analysis of myogr

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Humenskyi, Olexandr. "ON “CORRECT” CLASSIFICATION OF TASKS OF FORENSIC EXAMINATION." Criminalistics and Forensics, no. 67 (August 9, 2022): 76–87. http://dx.doi.org/10.33994/kndise.2022.67.09.

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To date, the issues of classification of the tasks of forensic examination are debatable, there are several points of view on the problems covered in the article, and all of them are related to the differentiation of these tasks, that is, ultimately, to the establishment of the boundaries of the methods that are used to solve them. Classification of expert tasks is conducted on the basis of the “vector of induction of expert tasks” (hereinafter referred to as VIET), which is directed from the most “private” task of establishment of individual identity to the most universal task of establishing

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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.

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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

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DIXON, MIKE J., DANIEL N. BUB, HOWARD CHERTKOW, and MARTIN ARGUIN. "Object identification deficits in dementia of the Alzheimer type: Combined effects of semantic and visual proximity." Journal of the International Neuropsychological Society 5, no. 4 (1999): 330–45. http://dx.doi.org/10.1017/s1355617799544044.

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Identification deficits in dementia of the Alzheimer Type (DAT) often target specific classes of objects, sparing others. Using line drawings to uncover the etiology of such category-specific deficits may be untenable because the underlying shape primitives used to differentiate one line drawing from another are unspecified, and object form is yoked to object meaning. We used computer generated stimuli with empirically specifiable properties in a paradigm that decoupled form and meaning. In Experiment 1 visually similar or distinct blobs were paired with semantically close or disparate labels,

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ALLABERGANOV, AKHMEDZHAN. "METHOD FOR IDENTIFYING FROM DIGITAL FORM (IMAGES) OF TYPICAL INTERVENTIONS TO TEXT INFORMATION (COLOR, TYPE INK, SIGNS, VIDEO CHANGE)." Sociopolitical sciences 10, no. 2 (2020): 107–12. http://dx.doi.org/10.33693/2223-0092-2020-10-2-107-112.

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A method has been developed for processing and analyzing the spectral space, obtaining images and recognizing text (textual information) by the video spectral and video microscopic research method, using the Forensic Multifunctional Complex (CMC) with the help of forensic software, which allows to determine the features of objects that are present on the investigated (source) image. At the same time, in the visible region of the spectrum, the optimal method (method) of the algorithmic implementation of transformations depending on the type of their characteristics of the object and their parts

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Kochuk, Serhii, Dinh Dong Nguyen, Artem Nikitin, and Rafael Trujillo Torres. "Identification of UAV model parameters from flight and computer experiment data." Aerospace technic and technology, no. 6 (November 29, 2021): 12–22. http://dx.doi.org/10.32620/aktt.2021.6.02.

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The object of research in the article is various well-known approaches and methods of structural and parametric identification of dynamic controlled objects - unmanned aerial vehicles (UAVs). The subject of the research is the parameters of linear and nonlinear mathematical models of spatial and isolated movements, describing the dynamics and aerodynamic properties of the UAV and obtained both from the results of flight experiments and using computer object-oriented programs for 3-D UAV models. The goal is to obtain mathematical models of UAV flight dynamics in the form of differential equatio

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Olejnik, Commander. "Visual identification of underwater objects using a ROV-type vehicle: "Graf Zeppelin" wreck investigation." Polish Maritime Research 15, no. 1 (2008): 72–79. http://dx.doi.org/10.2478/v10012-007-0055-4.

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Visual identification of underwater objects using a ROV-type vehicle: "Graf Zeppelin" wreck investigation The article presents a method of visual identification of underwater objects using a remotely controlled underwater ROV-type vehicle. The method was developed in the Department of Diving Technology and Underwater Activities, Polish Naval Academy, and was positively verified when identifying wrecks of such vessels as "General von Steuben", "Fryderyk Engels" and "Graf Zeppelin". The article gives a description of the method, illustrated by samples of its use for investigating the wreck of "G

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Nandy, Zenith. "Identification of Microcontroller Based Objects Using Image Classification in Python." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 87–92. http://dx.doi.org/10.22214/ijraset.2021.37920.

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Abstract: In this paper, I built an AI model using deep learning, which identifies whether a given image is of an Arduino, a Beaglebone Black or a Jetson Nano. The identification of the object is based on prediction. The model is trained using 300 to 350 datasets of each category and is tested multiple times using different images at different angles, background colour and size. After multiple testing, the model is found to have 95 percent accuracy. Model used is Sequential and uses Convolution Neural Network (CNN) as its architecture. The activation function of each layer is RELU and for the

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Eliseyev, Peter, Maryna Loriia, Olexii Tselishchev, Oleksandr Gurin, Oksana Kupina, and Tetiana Sotnikova. "Use of additive test methods in the simulation of the methanol synthesis column for the creation of a control system from the model." EUREKA: Physics and Engineering, no. 5 (September 29, 2023): 94–104. http://dx.doi.org/10.21303/2461-4262.2023.003110.

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The object of the study is the methodology of developing automatic control systems for one class of technological objects, namely, multi-tonnage chemical-technological productions. This class of technological objects is characterized by significant inertia, which makes them objects with difficult control. In addition, high production productivity to prevent economic losses requires ensuring the stability of the technological process without significant deviations from design norms. Based on this, the development methodology for objects of this class should be strictly consistent an

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Erez, Yaara, and Galit Yovel. "Clutter Modulates the Representation of Target Objects in the Human Occipitotemporal Cortex." Journal of Cognitive Neuroscience 26, no. 3 (2014): 490–500. http://dx.doi.org/10.1162/jocn_a_00505.

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Target objects required for goal-directed behavior are typically embedded within multiple irrelevant objects that may interfere with their encoding. Most neuroimaging studies of high-level visual cortex have examined the representation of isolated objects, and therefore, little is known about how surrounding objects influence the neural representation of target objects. To investigate the effect of different types of clutter on the distributed responses to target objects in high-level visual areas, we used fMRI and manipulated the type of clutter. Specifically, target objects (i.e., a face and

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Salbila, Syasya, Jeli Parsela, Cut Anisa Khairani, Meineta Tinambunan, and Tri Mustika Sarjani. "Identification of Ergastic Subtances of The Order Poales." Jurnal Biologi Tropis 23, no. 2 (2023): 495–503. http://dx.doi.org/10.29303/jbt.v23i2.6321.

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Ergastic objects are one of the non-protoplasmic components besides vacuoles. Ergastic objects in protoplasts can be solid and liquid.The purpose of the study was to determine how the structure and type of ergastic substances in plants of order poales. This research method includes descriptive research that describes the type and structure of ergastic substances in plants of order poales, the parts observed are bulbs, grains, stems to fruits that contain ergasticsubstances.Based on the results of research on the order of poales found that the order of poales has a diverse type of solid ergasti

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Wang, Jun, Lili Jiang, Qingwen Qi, and Yongji Wang. "Exploration of Semantic Geo-Object Recognition Based on the Scale Parameter Optimization Method for Remote Sensing Images." ISPRS International Journal of Geo-Information 10, no. 6 (2021): 420. http://dx.doi.org/10.3390/ijgi10060420.

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Image segmentation is of significance because it can provide objects that are the minimum analysis units for geographic object-based image analysis (GEOBIA). Most segmentation methods usually set parameters to identify geo-objects, and different parameter settings lead to different segmentation results; thus, parameter optimization is critical to obtain satisfactory segmentation results. Currently, many parameter optimization methods have been developed and successfully applied to the identification of single geo-objects. However, few studies have focused on the recognition of the union of dif

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Kamalieva, Y. R., D. N. Mingaleev, and R. Kh Ravilov. "IDENTIFICATION OF NON-TUBERCULOSIS MYCOBACTERIA ISOLATED FROM ENVIRONMENTAL OBJECTS IN THE REPUBLIC OF TATARSTAN." Scientific Notes Kazan Bauman State Academy of Veterinary Medicine 248, no. 4 (2021): 100–105. http://dx.doi.org/10.31588/2413-4201-1883-248-4-100-105.

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The purpose of this work was to identify mycobacteria of non-tuberculosis type isolated from environmental objects in the Republic of Tatarstan. The article presents the result of identification of mycobacteria of non-tuberculous type in samples of washout from environmental objects obtained from farms with an identified species list of circulating mycobacteria of non-tuberculous type from reacting to tuberculin cattle by polymerase chain reaction in real time. In the course of our research, we found that nonspecific allergic reactions to bovine tuberculin in these farms are caused by contamin

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Aleksanyan, Grayr. "A symmetry - based algorithm to determine the presence of the internal structure heterogeneity of the of a biological object." E3S Web of Conferences 389 (2023): 01052. http://dx.doi.org/10.1051/e3sconf/202338901052.

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This article proposes a two-level approach for solving the problems of electrical impedance tomography of biological objects, which consists in successively applying the methods of “rough” and “fine” reconstruction to the potentials measured on the surface of the object. To perform a “rough” reconstruction procedure, it is proposed to use a method for determining the presence of heterogeneity in the internal structure of a biological object based on the symmetry algorithm. Thus, consistent localization and identification of the boundaries of the heterogeneity of the internal structure of the b

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André, Philippe, Derek Ward-Thompson, and Jane Greaves. "Interferometric Identification of a Pre–Brown Dwarf." Science 337, no. 6090 (2012): 69–72. http://dx.doi.org/10.1126/science.1222602.

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It is not known whether brown dwarfs [stellar-like objects with masses less than the hydrogen-burning limit, 0.075 solar mass (M☉)] are formed in the same way as solar-type stars or by some other process. Here we report the clear-cut identification of a self-gravitating condensation of gas and dust with a mass in the brown-dwarf regime, made through millimeter interferometric observations. The level of thermal millimeter continuum emission detected from this object indicates a mass ~0.02 to 0.03 M☉, whereas the small radius, <460 astronomical units, and narrow spectral lines imply a dynamic

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Kondratenko, Natalia R., and Olha O. Snihur. "Investigating adequacy of interval type-2 fuzzy models in complex objects identification problems." System research and information technologies, no. 4 (December 23, 2019): 94–104. http://dx.doi.org/10.20535/srit.2308-8893.2019.4.10.

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Burhanudin, Nazil Ilham, Arif Dwi Laksito, Acihmah Sidauruk, Muhammad Resa Arif Yudianto, and Alfie Nur Rahmi. "Object Recognition with SSD MobileNet Pre-Trained Model in the Cashier Application." Jurnal Sisfokom (Sistem Informasi dan Komputer) 12, no. 2 (2023): 265–70. http://dx.doi.org/10.32736/sisfokom.v12i2.1659.

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Object recognition is a type of image processing technique that is frequently employed in current applications such as facial identification, vehicle detection, and automated cashiers. One issue with barcode and RFID cashier apps is that they cannot scan several products at the same time. The cashier application employing object identification using picture images is believed to be able to distinguish more than one object in order to speed up the transaction process. The usage of SSD pre-trained models with MobileNet architecture to detect items in automatic cashier applications is discussed i

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Jiang, Tianyue, Yongjia Song, and Yuhui Yin. "Composition analysis and identification of ancient glass objects based on Random Forest." Highlights in Science, Engineering and Technology 22 (December 7, 2022): 307–16. http://dx.doi.org/10.54097/hset.v22i.3396.

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Glass is a valuable physical evidence of our early trade exchanges, and ancient glass is susceptible to weathering by the burial environment, resulting in changes in its composition ratio. In this study, the surface weathering of glass artifacts was analyzed in relation to their glass type, decoration and color; the statistical patterns of the chemical composition content of artifact samples with and without weathering were analyzed in relation to the glass type and a Random forest (RF) model was developed to predict the chemical composition content of the artifacts before weathering based on

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Mohammed, Hind R., and Zahir M. Hussain. "Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images." Computation 9, no. 3 (2021): 35. http://dx.doi.org/10.3390/computation9030035.

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Accurate, fast, and automatic detection and classification of animal images is challenging, but it is much needed for many real-life applications. This paper presents a hybrid model of Mamdani Type-2 fuzzy rules and convolutional neural networks (CNNs) applied to identify and distinguish various animals using different datasets consisting of about 27,307 images. The proposed system utilizes fuzzy rules to detect the image and then apply the CNN model for the object’s predicate category. The CNN model was trained and tested based on more than 21,846 pictures of animals. The experiments’ results

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Gamrot, Wojciech. "The type individuation problem." Studia Philosophica Wratislaviensia 16, no. 4 (2021): 47–64. http://dx.doi.org/10.19195/1895-8001.16.4.3.

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Lockean justifi cations of intellectual property postulate the appropriation of immaterial entities, in various contexts called types, patterns, designs, or technologies. It is widely believed that the ownership of such entities gives the owner a right to control their physical embodiments and prohibit imitation. For the prohibition to be meaningful, a condition identifying forbidden objects must be formulated. It must cover not only objects which are identical to some original artifact or its exact, ideal description, but also those which are only similar. This requires systematic answers to

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Prado da Fonseca, Vinicius. "Tactile Sensor Analysis during Early Stages of Manipulation for Single Grasp Identification of Daily Objects." Engineering Proceedings 6, no. 1 (2021): 56. http://dx.doi.org/10.3390/i3s2021dresden-10091.

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Dexterous robotic manipulation in unstructured environments is still challenging, despite the increasing number of robots entering human settings each day. Even though robotic manipulation provides complete solutions in factories and industries, it still lacks essential techniques, displaying clumsy or limited operation in unstructured environments. Daily objects typically aim at the human hand, and the human somatosensory system is responsible for solving all the complex calculations required for dexterous manipulations in unstructured settings. Borrowing concepts of the human visuotactile sy

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Nyrka, Ye O. "The history of the formation and development of presentation for identification as a method of obtaining evidence in criminal proceedings." Uzhhorod National University Herald. Series: Law 5, no. 86 (2025): 124–29. https://doi.org/10.24144/2307-3322.2024.86.5.17.

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The scientific article examines the process of formation and transformation of the institution of presentation for identification in criminal proceedings, its place among investigative (detective) actions. It is emphasized that in the historical aspect, presentation for identification was inextricably linked with interrogation. In particular, it is noted that initially presentation for identification was considered as an integral part of interrogation, but over time it was realized that this procedure goes beyond its limits and should be considered as a separate investigative action. The basis

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Wang, Guanya, Kailiang Deng, Qi Chen, et al. "Distributed Scatterer Processing Based on Binary Partition Trees with Multi-Baseline PolInSAR Data." Remote Sensing 14, no. 21 (2022): 5367. http://dx.doi.org/10.3390/rs14215367.

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Distributed scatterers (DSs) are necessary to increase point density in multi-temporal InSAR (MT-InSAR) monitoring. The identification of homogeneous pixels (HPs) is the first and key step for DS processing to overcome the low signal-to-noise ratio condition. Since multi-polarization data are good at describing geometrical structures and dielectric properties of ground objects, they have been applied for HP identification. However, polarimetric information is not enough for identifying areas with similar ground objects but different deformation. We propose a novel DS preprocessing algorithm ba

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Kuleshova, L. S., V. V. Mukhametshin, and R. A. Gilyazetdinov. "The role and significance of the tectonic-stratigraphic factor in the formation of the structural features of hydrocarbon deposits of the Volga-Ural oil and gas province." SOCAR Proceedings, no. 1 (March 30, 2024): 10–17. http://dx.doi.org/10.5510/ogp20240100934.

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The article establishes the role and importance of the tectonic-stratigraphic factor in the formation of the structural features of hydrocarbon deposits in the Volga-Ural oil and gas province. It has been established that the type of reservoir, tectonic and stratigraphic confinement of the objects of study determine the geological and physical features of the deposits by more than two thirds and are the basis for the identification of objects at a qualitative level. An algorithm is proposed for selecting analogous objects at a qualitative level for deposits emerging from exploration in the abs

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Wang, Chunxiao, Xiaoqing Xiong, Xiaoying Zhang, et al. "A 3D Point Cloud Feature Identification Method Based on Improved Point Feature Histogram Descriptor." Electronics 12, no. 17 (2023): 3736. http://dx.doi.org/10.3390/electronics12173736.

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A significant amount of research has been conducted on the segmentation of large-scale 3D point clouds. However, efficient point cloud feature identification from segmentation results is an essential capability for computer vision and surveying tasks. Feature description methods are algorithms that convert the point set of the point cloud feature into vectors or matrices that can be used for identification. While the point feature histogram (PFH) is an efficient descriptor method, it does not work well with objects that have smooth surfaces, such as planar, spherical, or cylindrical objects. T

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R, Parthiban, Dr J. Sreerambabu, and M. Mohammed Riyaz. "Speed, Direction, Color and Type Identification of NHAI Expansions Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 763–67. http://dx.doi.org/10.22214/ijraset.2022.46281.

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Abstract: Vehicle numeration is associate interaction to appraise the road traffic thickness to judge the traffic conditions for shrewd transportation frameworks. With the broad use of cameras in metropolitan vehicle frameworks, the reconnaissance mission video has become a focal info supply to boot, constant traffic the board framework has become illustrious as lately owing to the accessibility of handheld/versatile cameras and machine learning investigation. In this work, propose video-based vehicle as well as technique in associate superhighway traffic video caught utilizing hand-held camer

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Komar, Mykola, Artem Sieriebriakov, Roman Tymchyshyn, and Serhii Bondar. "Developing a technology for modeling radar portraits of complex-shape objects for intelligent recognition systems." Information and controlling system 3, no. 9 (129) (2024): 46–59. http://dx.doi.org/10.15587/1729-4061.2024.305623.

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The object of this study is the modeling of radar portraits (RPs) for intelligent recognition systems based on the use of faceted 3D models. In order to solve the problems of target identification in homing systems of high-precision missile weapons, a technology is needed that could make it possible to efficiently and quickly generate RPs of military objects of complex shape in the required quantity. The research results are based on a combination of separate component technologies, in particular: the devised technology of using faceted 3D models – their construction and further processing wit

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Kondratenko, Natalia, and Olha Snihur. "A method of building type-2 fuzzy logic systems in multidimensional objects identification problems." Eastern-European Journal of Enterprise Technologies 3, no. 4 (87) (2017): 38–45. http://dx.doi.org/10.15587/1729-4061.2017.101635.

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Zhao, Jun, Gan Ping Li, and Chao Dan Zheng. "Design of a Switching Control Scheme for Uncertain Objects Based on PID-Type FNN and LS_SVMs." Advanced Materials Research 532-533 (June 2012): 550–54. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.550.

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PID control schemes have been widely used for industrial process systems over the past several decades. Recently, by combining traditional PID method with modern intelligent control scheme, various control design methodologies have been proposed such as fuzzy PID, neural PID and PID self-tuning by pattern recognition. However, the serious problem here is that the controller parameters must be suitably adjusted according to the property of the controlled object, which often changes gradually. Many identification methods are introduced to cope with this problem, among which the neural network id

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Chen, Quanming, Guoxing Zhu, and Quanfu Zhang. "Composition analysis and identification of ancient glass objects based on LightGBM." Highlights in Science, Engineering and Technology 33 (February 21, 2023): 173–81. http://dx.doi.org/10.54097/hset.v33i.5307.

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In this paper, for a batch of existing data related to ancient glass objects in China, by analyzing the relationship between the basic information of cultural relics and the information of chemical composition detected by cultural relics, a prediction model that can predict the chemical composition data before weathering by the chemical composition data after weathering is established, a classification model based on the existing data is built to simulate the original classification law, and the model is used to identify the type of unclassified cultural relics, and then by The importance of t

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Renzini, Alvio. "Searching for Type la Supernova Progenitors." International Astronomical Union Colloquium 145 (1996): 77–85. http://dx.doi.org/10.1017/s0252921100007934.

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The status for the identification of specific astronomical objects as SNIa progenitors is reviewed. Single or double degenerate progenitors? Chandrasekhar or sub-Chandrasekhar mass exploders? These are the two main questions still to be answered concerning the progenitors of Type la supernovae. Although all four combinations may be represented in nature, searches for double degenerates seem to indicate that such systems provide a minor channel for the production of SNIa’s. The more promising candidates appear to be symbiotic stars, consisting of a single degenerate star and a sub-Chandrasekhar

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Loseva, O. V., and N. M. Abdikeev. "Identification of Digital Intellectual Assets and Features of Their Commercialization." Management Sciences 13, no. 3 (2023): 34–46. http://dx.doi.org/10.26794/2404-022x-2020-13-3-34-46.

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The need to identify, define the types, specifics and features of the commercialization of digital intellectual assets is due to the prevailing realities and the opportunities for additional income associated with the digitalization of the economy and the legislative consolidation of new objects of civil turnover — digital rights. The purpose of the work is to characterize digital intellectual assets as objects of commercialization, to identify the features and conditions of its implementation, as well as factors affecting the type and amount of license fees for the transfer of rights to these

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Bidelman, W. P. "Circumstellar matter as detected by IRAS - Some systematics." Symposium - International Astronomical Union 122 (1987): 217–18. http://dx.doi.org/10.1017/s0074180900156438.

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Most of the sources noted by the Infrared Astronomical Satellite are, as expected, more or less normal cool giant stars, but a very large number of objects of earlier spectral type were also picked up. These cases must involve, in a variety of ways, circumstellar gas and dust. From a large-scale program of identification of the IRAS objects, some systematics emerge.

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Fu, Hao, Hanzhang Xue, and Guanglei Xie. "MapCleaner: Efficiently Removing Moving Objects from Point Cloud Maps in Autonomous Driving Scenarios." Remote Sensing 14, no. 18 (2022): 4496. http://dx.doi.org/10.3390/rs14184496.

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Three-dimensional (3D) point cloud maps are widely used in autonomous driving scenarios. These maps are usually generated by accumulating sequential LiDAR scans. When generating a map, moving objects (such as vehicles or moving pedestrians) will leave long trails on the assembled map. This is undesirable and reduces the map quality. In this paper, we propose MapCleaner, an approach that can effectively remove the moving objects from the map. MapCleaner first estimates a dense and continuous terrain surface, based on which the map point cloud is then divided into a noisy part below the terrain,

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Glaznev, V. N., O. M. Muravina, and I. A. Yakuba. "REGIONAL FORECASTING OF URANIUM DEPOSITS IN THE REPUBLIC OF NIGER." BULLETIN OF KAMCHATKA REGIONAL ASSOCIATION «EDUCATIONAL-SCIENTIFIC CENTER». EARTH SCIENCES 1, no. 53 (2022): 32–45. http://dx.doi.org/10.31431/1816-5524-2022-1-53-32-45.

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The paper deals with the methodology and results of forecasting sandstone-type uranium deposits on the territory of the Republic of Niger, based on the use of a set of regional geological and geophysical materials and a new technology for spatial analysis of data by the method of group accounting of arguments. The necessary information on the genesis and localization of sandstone-type uranium deposits in the study area is briefly outlined. Examples of identification of formal geological, tectonic and geophysical features that characterize the location of known large objects of uranium minerali

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Łój-Pilch, Magdalena, Anita Zakrzewska, and Ewa Zielewicz. "Risk identification on the example of municipal sewage treatment plant." E3S Web of Conferences 44 (2018): 00102. http://dx.doi.org/10.1051/e3sconf/20184400102.

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Municipal sewage treatment plants are specific technical objects that have a serious impact on the environment and humans. Analysis and management of risk allow early detecting and eliminating threats and reduce the negative effects of risk-generating events. Only a properly conducted identification enables the correct functioning of this process. There are many methods of risk identification, some of them are of universal use, others are focused on a given type of company or activity. In the case of municipal sewage treatment plants, one should use several methods at the same time due to the

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Tupelo-Schneck, Robert. "An Introduction to Cordra." Research Ideas and Outcomes 8 (October 12, 2022): e95966. https://doi.org/10.3897/rio.8.e95966.

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Cordra is a digital object server that can function as a key infrastructural piece in FAIR DO (findable, accessible, interoperable and reusable digital object) implementations. Cordra manages JSON records and payloads as typed digital objects identified by handles. Cordra is neither a database nor an indexer, but it integrates the two and provides a unified interface.Cordra is intended to support both quick prototyping as well as production systems.For prototyping, Cordra makes it easy to get up and running rapidly with a digital object server. A potential Cordra administrator can download Cor

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Rocha, Ranyeri do Lago, and Felipe A. P. de Figueiredo. "Beyond Land: A Review of Benchmarking Datasets, Algorithms, and Metrics for Visual-Based Ship Tracking." Electronics 12, no. 13 (2023): 2789. http://dx.doi.org/10.3390/electronics12132789.

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Object tracking has gained much interest in the last few years, especially in the context of multiple object tracking. Many datasets used for tracking provide video sequences of people and objects in very different contexts. Although it has been attracting much attention, no dataset or tracking algorithm has been applied to coastal surveillance and ship tracking. Besides image/video-based tracking technologies, other technologies, such as radar and automatic identification systems (AISs), are also used for this task, especially in maritime applications. In the AIS case, commonly known issues,

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Klekiel, Tomasz. "Application of the Fundamental Solution Method to Object Recognition in the Pictures." Image Processing & Communications 22, no. 3 (2017): 13–22. http://dx.doi.org/10.1515/ipc-2017-0014.

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Abstract Recognition of objects in pictures and movies requires the use of techniques, such as filtering, segmentation and classification. Image filtering is required to remove all artifacts that hinder the unequivocal identification and sharpen interesting objects. Segmentation refers to finding areas of images respected to individual objects. For the selected areas corresponding to objects in the selected picture, the classification of objects finally gives information about the type of object which orientation is made. This paper presents a method for the classification of objects from draw

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