unified algorithm
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2022 ◽  
pp. 811-822
Author(s):  
B.V. Dhandra ◽  
Satishkumar Mallappa ◽  
Gururaj Mukarambi

In this article, the exhaustive experiment is carried out to test the performance of the Segmentation based Fractal Texture Analysis (SFTA) features with nt = 4 pairs, and nt = 8 pairs, geometric features and their combinations. A unified algorithm is designed to identify the scripts of the camera captured bi-lingual document image containing International language English with each one of Hindi, Kannada, Telugu, Malayalam, Bengali, Oriya, Punjabi, and Urdu scripts. The SFTA algorithm decomposes the input image into a set of binary images from which the fractal dimension of the resulting regions are computed in order to describe the segmented texture patterns. This motivates use of the SFTA features as the texture features to identify the scripts of the camera-based document image, which has an effect of non-homogeneous illumination (Resolution). An experiment is carried on eleven scripts each with 1000 sample images of block sizes 128 × 128, 256 × 256, 512 × 512 and 1024 × 1024. It is observed that the block size 512 × 512 gives the maximum accuracy of 86.45% for Gujarathi and English script combination and is the optimal size. The novelty of this article is that unified algorithm is developed for the script identification of bilingual document images.


2021 ◽  
Vol 33 (12) ◽  
pp. 126114
Author(s):  
Zhi-Hui Li ◽  
Wen-Qiang Hu ◽  
Jun-Lin Wu ◽  
Ao-Ping Peng

Author(s):  
Андрій Юрійович Шелестов ◽  
Алла Миколаївна Лавренюк ◽  
Богдан Ялкапович Яйлимов ◽  
Ганна Олексіївна Яйлимова

Ukraine is an associate member of the European Union and in the coming years it is expected that all data and services already used by EU countries will be available to Ukraine. The lack of quality national products for assessing the development and planning of urban growth makes it impossible to assess the impact of cities on the environment and human health. The first steps to create such products for the cities of Ukraine were initiated within the European project "SMart URBan Solutions for air quality, disasters and city growth" (SMURBS), in which specialists from the Space Research Institute of NAS of Ukraine and SSA of Ukraine received the first city atlas for the Kyiv city, which was similar to the European one. However, the resulting product had significantly fewer types of land use than the European one and therefore the question of improving the developed technology arose. The main purpose of the work is to analyze the existing technology of European service Urban Atlas creation and its improvement by developing a unified algorithm for building an urban atlas using all available open geospatial and satellite data for the cities of Ukraine. The development of such technology is based on our own technology for classifying satellite time series with a spatial resolution of 10 meters to build a land cover map, as well as an algorithm for unifying open geospatial data to urban atlases Copernicus. The technology of construction of the city atlas developed in work, based on the intellectual model of classification of a land cover, can be extended to other cities of Ukraine. In the future, the creation of such a product on the basis of data for different years will allow to assess changes in land use and make a forecast for further urban expansion. The proposed information technology for constructing the city atlas will be useful for assessing the dynamics of urban growth and closely related social and economic indicators of their development. Based on it, it is also possible to assess indicators of achieving the goals of sustainable development, such as 11.3.1 "The ratio of land consumption and population growth." The study shows that the city atlas obtained for the Kyiv city has a high level of quality and has comparable land use classes with European products. It indicates that such a product can be used in government decision-making services.


2021 ◽  
Vol 10 (9) ◽  
pp. 593
Author(s):  
Kejia Huang ◽  
Chenliang Wang ◽  
Shaohua Wang ◽  
Runying Liu ◽  
Guoxiong Chen ◽  
...  

With the extensive application of big spatial data and the emergence of spatial computing, augmented reality (AR) map rendering has attracted significant attention. A common issue in existing solutions is that AR-GIS systems rely on different platform-specific graphics libraries on different operating systems, and rendering implementations can vary across various platforms. This causes performance degradation and rendering styles that are not consistent across environments. However, high-performance rendering consistency across devices is critical in AR-GIS, especially for edge collaborative computing. In this paper, we present a high-performance, platform-independent AR-GIS rendering engine; the augmented reality universal graphics library (AUGL) engine. A unified cross-platform interface is proposed to preserve AR-GIS rendering style consistency across platforms. High-performance AR-GIS map symbol drawing models are defined and implemented based on a unified algorithm interface. We also develop a pre-caching strategy, optimized spatial-index querying, and a GPU-accelerated vector drawing algorithm that minimizes IO latency throughout the rendering process. Comparisons to existing AR-GIS visualization engines indicate that the performance of the AUGL engine is two times higher than that of the AR-GIS rendering engine on the Android, iOS, and Vuforia platforms. The drawing efficiency for vector polygons is improved significantly. The rendering performance is more than three times better than the average performances of existing Android and iOS systems.


2021 ◽  
Vol 20 (3) ◽  
pp. 84-94
Author(s):  
A. O. Atroshchenko ◽  
A. V. Kolygin ◽  
M. M. Severova ◽  
L. I. Markushin

Massive gastrointestinal bleeding (GIB) is a rare complication of Crohn’s disease (CD). For the recent decades a number of medical and surgical methods to control the GIB have been introduced. However, the unified algorithm and approach to this subset of patients is still lacking, mostly due to the absence of adequately powered and wellconducted RCTs. Determining the optimal treatment approach to inflammatory bowel disease (IBD) in patients who develop a GIB is still a valid research target.


2021 ◽  
Vol 20 (3) ◽  
pp. 84-94
Author(s):  
A. O. Atroshchenko ◽  
A. V. Kolygin ◽  
M. M. Severova ◽  
L. I. Markushin

Massive gastrointestinal bleeding (GIB) is a rare complication of Crohn’s disease (CD). For the recent decades a number of medical and surgical methods to control the GIB have been introduced. However, the unified algorithm and approach to this subset of patients is still lacking, mostly due to the absence of adequately powered and wellconducted RCTs. Determining the optimal treatment approach to inflammatory bowel disease (IBD) in patients who develop a GIB is still a valid research target.


2021 ◽  
Vol 7 (1) ◽  
pp. 85-91
Author(s):  
P. A. Yemushintsev ◽  
V. V. Mikulich ◽  
G. S. Soloviev

Purpose: to improve the organization of emergency assistance to an emergency diver in a state of clinical death. Clarification of the priority of cardiopulmonary resuscitation by persons providing diving descents.Materials and methods. Аnalysis of guidelines governing medical support for diving descents and documents for the provision of emergency and urgent assistance, study of emergencies with naval divers.Results and discussion. Сonsidered one of the reasons that has a negative impact on the approach to emergency care — the lack of a unified algorithm of actions in the guideline documents for diagnosing clinical death in a diver, as well as ambiguous interpretation of the priority of cardiopulmonary resuscitation.


2021 ◽  
Vol 8 (2) ◽  
pp. 487-510
Author(s):  
Igor Kopsov

It has been suggested that the functionality of matter, life, and mind can be described by algorithms containing a sequence of steps and feedback mechanisms. Social processes were until now not considered. Consequently, we examine algorithms of behavior of groups of various kinds, identify their common parameters, and undertake a comparative analysis to the algorithm of individual behavior. We conclude, that despite some application-specific differences, groups operate in accordance with a unified algorithm and, furthermore, this algorithm is the same as the generic algorithm of individual behavior. We demonstrate that in the generally perceived progression matter-life-mind-culture/society, the latter transition cannot be validated. Homogeneity of algorithms of individual and group behavior leads to the proposition that the human mind/psyche and social processes belong to the same level of complexity of nature. This challenges the commonly held perception that society/culture is a standalone perspective of reality separate from the mind.


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