typical object
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2021 ◽  
Vol 2083 (3) ◽  
pp. 032019
Author(s):  
Jie Luo ◽  
Jufeng Ye ◽  
Lan Shan ◽  
Qunying He

Abstract In order to improve object detection ability of robot, this study introduces an object detection algorithm which is based on deep learning. Firstly, a neural network that contains Convolution Layer, Pooling Layer and Fullly Connection Layer is designed to recognize whether the target object in image. Secondly, the Faster-RCNN, as a typical object detection algorithm, is used to detect the position of target object in image. Finally, the algorithm is transplanted on Raspberry Pi for deployment and testing. Results show that this algorithm can work well on Raspberry PI, and the mAP (mean average precision) and FPS (frames per second) reach 97% and 3. Meanwhile, the position of target object is accurately marked in image. Therefore, this study implies that the object detection algorithm based on deep learning can be implemented on mobile terminal and is helpful to improve object detection ability of mobile terminal.


Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1217
Author(s):  
Roman Kostromin ◽  
Olga Basharina ◽  
Alexander Feoktistov ◽  
Ivan Sidorov

Nowadays, simulation modeling is a relevant and practically significant means in the field for research of infrastructure object functioning. It forms the basis for studying the most important components of such objects represented by their digital twins. Applying meteorological data, in this context, becomes an important issue. In the paper, we propose a new microservice-based approach for organizing simulation modeling in heterogeneous distributed computing environments. Within the proposed approach, all operations related to data preparing, executing models, and analyzing the obtained results are implemented as microservices. The main advantages of the proposed approach are the parameter sweep computing within simulation modeling and possibility of integrating resources of public access supercomputer centers with cloud and fog platforms. Moreover, we provide automated microservice web forms using special model specifications. We develop and apply the service-oriented tools for studying environmentally friendly equipment of the objects at the Baikal natural territory. Among such objects are recreation tourist centers, children’s camps, museums, exhibition centers, etc. As a result, we have evaluated the costs for the possible use of heat pumps in different operational and meteorological conditions for the typical object. The provided comparative analysis has confirmed the aforementioned advantages of the proposed approach.


Author(s):  
Marzena Ganc ◽  
Mirosław Wasilewski

The purpose of the research is to present the theoretical and practical aspects of determining the unit cost of producing dairy products in what is defined as a "typical" dairy cooperative. The Euclideanand urban distance method was used to determine a typical object with n = 88 dairy cooperatives – the following set of variables was defined, which are common to all cooperatives and reflect the sizeand specificity of cooperative units on the milk market in Poland. The selected cooperative provides a procedure for calculating the unit costs of dairy products on the basis of a detailed case study. Thefull cost account used in cooperatives does not provide cost information for management decisions.Indirect cost accounting using contractual factors does not provide reliable cost data. An important issue in determining the coefficients is the adoption of a measure which reflects the actualrelationship between cost and cost carrier, a product which, in the case of dairy products, may be difficult. It would be appropriate to attempt to introduce a variable cost account in dairy cooperativesin order to avoid the contractual assignment of indirect costs to products. The main problem highlighted by the authors is the lack of an adequate information system for the cost accounting indairy cooperatives. The implementation of such solutions would allow managers of a dairy cooperative to make appropriate (short-term) decisions in terms of developing an assortmentstructure based on data e.g. on profitability at the level of individual products.


2021 ◽  
Vol 24 (2) ◽  
pp. 218-237
Author(s):  
Светлана Александровна Власова ◽  
Николай Евгеньевич Калёнов

The article describes a typical object-oriented WEB-system designed for storing and providing various reference and statistical data on the scientific works of employees of an institution (group of institutions), developed by specialists of the JSCC RAS. The system contains information about publications of employees and reports made by them at scientific conferences, symposiums, and seminars. The system is focused on working with objects belonged to classes connected between each other, such as "author", "organization", "publication", "report", "event". The metadata profile of objects of each class includes attributes that are necessary to get detailed information about both an individual object of this class and a group of objects associated with the specified attribute values of objects of other classes. For example, you have to get a list of articles by employees of a given organization published articles in a given journal for a given period of time. A distinctive feature of the system is the introduced concept of "equivalent" objects. Such objects are "persons" corresponding to the same author with different spellings of the last name in the bibliographic descriptions of publications; organizations with different versions of names; articles which are published without changes in different languages. This article describes in detail the features of the system, its user interface, and provides examples of performing specific queries.


Author(s):  
Katja M. Mayer ◽  
Hugh Riddell ◽  
Markus Lappe

AbstractFlow parsing is a way to estimate the direction of scene-relative motion of independently moving objects during self-motion of the observer. So far, this has been tested for simple geometric shapes such as dots or bars. Whether further cues such as prior knowledge about typical directions of an object’s movement, e.g., typical human motion, are considered in the estimations is currently unclear. Here, we adjudicated between the theory that the direction of scene-relative motion of humans is estimated exclusively by flow parsing, just like for simple geometric objects, and the theory that prior knowledge about biological motion affects estimation of perceived direction of scene-relative motion of humans. We placed a human point-light walker in optic flow fields that simulated forward motion of the observer. We introduced conflicts between biological features of the walker (i.e., facing and articulation) and the direction of scene-relative motion. We investigated whether perceived direction of scene-relative motion was biased towards biological features and compared the results to perceived direction of scene-relative motion of scrambled walkers and dot clouds. We found that for humans the perceived direction of scene-relative motion was biased towards biological features. Additionally, we found larger flow parsing gain for humans compared to the other walker types. This indicates that flow parsing is not the only visual mechanism relevant for estimating the direction of scene-relative motion of independently moving objects during self-motion: observers also rely on prior knowledge about typical object motion, such as typical facing and articulation of humans.


2021 ◽  
Vol 1 (50) ◽  
pp. 153-160
Author(s):  
Podgorny M ◽  
◽  
Lukianchenko O ◽  
Rakhimi Y ◽  
◽  
...  

The article proposes an approach to solving economic and social problems, which consists in the development of methodological foundations for the construction of logistics processes. The object of the research is the information support processes for complete supply chains. The purpose of the work is to increase the efficiency of the functioning of complete supply chains by creating information technology for the management of material flows within the supply chain. The research method is a systematic approach. The typical object here is the complete supply chain (CSC) of goods, it is a complex socio-economic system that consists of a large number of raw material suppliers, target enterprise (processing and packaging), warehouse terminals, distributors, customs brokers, 3PL and 4PL suppliers, retailers ... The interaction between CSC participants is a collection of continuous material, financial and information flows and services, from sources of raw materials to the final consumer. The value of the study for solving economic and social problems lies in the development of methodological foundations for the construction of logistics processes. Predictive assumptions for the development of the research object - using the proposed approaches and methods of informatization, it is possible to increase the efficiency of CSC functioning, simplify organizational management structures and create better conditions for awareness. KEY WORDS: SYSTEM APPROACH, FULL SUPPLY CHAIN, DYNAMIC SYSTEM.


2020 ◽  
pp. 326-336
Author(s):  
Karolina Slotvinska ◽  
Kristina Rutkovska

The article performs the analysis of the concept of mother through the cognitive questionnaire methodology developed by Jerzy Bartmiński, pioneer of Polish ethnolinguistics. According to the methodology only one open question is asked to respondents: „What do you think is the essence of the true X?“ The modifier „true“ included in the question directs respondents’ attention specifically to subjective imaginations, rather than to the actual (objectively) existing typical object. Mentioning the „essence“ directs focus to the most important rather than subordinate features.During the study, the students of Vilnius University were questioned – Philology, Philosophy, History, Law, Economics and Business Administration, Medical, Physics, International Relations and Science, Mathematics and Informatics Bachelors and Masters, as well as students from Vilnius Gediminas Technical University, Antanas Gustaitis’ Aviation Institute. A total of 100 questionnaires were selected for the study: 48 questionnaires of Science dysciplines (male – 18, female – 30) and 52 questionnaires of the Humanities dysciplines (male – 20, female – 32).As the results of the analysis show, the „true mother“ is characterised in particular by psychosocial and social aspects, less often by mental, biological, household aspects. The least often the mother is characterised by physical, ethnic, religious, ethical and ideological aspects. The most common were descriptions such as: Raises, educates (S); 77, 9.2 %; Loves (A); 70, 8.4 %; Cares about (A); 65, 7.8 %; Sacrifises (A); 38, 4.5 %; Gives birth (G); 28/3.3 %; Childbirth (alone) does not constitute the presence of the mother (G); 26/3.1 %. According to the students’ opinion, it can be said that the maternity still remains a value, and its core consists of a public duty of a mother to bring up a virtuous and worthy citizen. Quite a private link between a mother and a child, which manifests in a provision of warmth and love to one another, remains important, a purely humane relationship is highly valued. Human attention does not deviate completely into sociality, his own hapiness and the happiness of his closest people is important to him.


2020 ◽  
pp. 266-287
Author(s):  
Nicholas Baragwanath

The chapter provides a survey of the history of accompanied solfeggio from its origins in late sixteenth-century monody and basso continuo to flamboyant rococo arias and nineteenth-century exercises in composition. Three case studies provide an overview of the main didactic functions of the Type 3 solfeggio: (1) an expert critique of Italian bel canto in the form of a parody by Mozart, (2) a typical object of its mockery in the form of a bravura study by the castrato Farinelli, and (3) a lesson in composition by Zingarelli. The chapter then investigates the closeness of the relation between the contrasting solfeggi that made up multi-movement lessons by comparing slow-fast pairs by Leo and Cafaro. Did they record alternative renditions of the same underlying cantus firmus?


2020 ◽  
pp. 2361-2370
Author(s):  
Elham Mohammed Thabit A. ALSAADI ◽  
Nidhal K. El Abbadi

Detection and classification of animals is a major challenge that is facing the researchers. There are five classes of vertebrate animals, namely the Mammals, Amphibians, Reptiles, Birds, and Fish, and each type includes many thousands of different animals. In this paper, we propose a new model based on the training of deep convolutional neural networks (CNN) to detect and classify two classes of vertebrate animals (Mammals and Reptiles). Deep CNNs are the state of the art in image recognition and are known for their high learning capacity, accuracy, and robustness to typical object recognition challenges. The dataset of this system contains 6000 images, including 4800 images for training. The proposed algorithm was tested by using 1200 images. The accuracy of the system’s prediction for the target object was 97.5%.


Author(s):  
V. A. Knyaz ◽  
D. G. Stepaniants ◽  
E. V. Ippolitov ◽  
M. M. Novikov

Abstract. The study of how aircraft icing influences on aircraft aerodynamic performance is very important for developing measures and recommendation to improve aircraft flight safety. The effective method of aerodynamic processes modeling is experiment in wind (aerodynamic) tunnel or water (hydrodynamic) tunnel. They allow to perform experiments with a scaled model of an aircraft affected by icing and to visualize the wing flow process and changes caused by icing. While visualization of the wing flow yields useful qualitative information about flow, it is more important to retrieve quantitative 3D data of flow, which allows to forecast icing process and to develop anti-icing techniques and recommendations.The presented study addresses to creating an photogrammetric system and 3D measurement techniques for quantitate evaluation of 3D flow parameters in a hydrodynamic tunnel for aircraft icing influence exploration. Being an initial part of a long-term research project, this study is aimed at developing of an accurate calibration technique of the photogrammetric system for 3D measurement in condition of two optical media interfaces. The developed algorithms for imaging process through two optical media interfaces are used in calibration procedure and object 3D coordinates measuring. The results of the photogrammetric system calibration are given in comparison with standard (single media) case. Experimental 3D reconstruction of a typical object demonstrated high accuracy of the developed algorithms.


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