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Research on Scattering Feature Extraction of Underwater Moving Cluster Targets Based on the Highlight Model

Yang Yang Jun Fan Bin Wang
Archives of Acoustics | 2023 | vol. 48 | No 2 | 235-247 | DOI: 10.24425/aoa.2023.145235
Keywords motion small cluster targets feature fusion azimuth trend scale azimuth trend Doppler
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Abstract

In detecting cluster targets in ports or near-shore waters, the echo amplitude is seriously disturbed by interface reverberation, which leads to the distortion of the traditional target intensity characteristics, and the appearance of multiple targets in the same or adjacent beam leads to fuzzy feature recognition. Studying and extracting spatial distribution scale and motion features that reflect the information on cluster targets physics can improve the representation accuracy of cluster target characteristics. Based on the highlight model of target acoustic scattering, the target azimuth tendency is accurately estimated by the splitting beam method to fit the spatial geometric scale formed by multiple highlights. The instantaneous frequencies of highlights are extracted from the time-frequency domain, the Doppler shift of the highlights is calculated, and the motion state of the highlights is estimated. Based on the above processing method, target highlights’ orientation, spatial scale and motion characteristics are fused, and the multiple moving highlights of typical formation distribution in the same beam are accurately identified. The features are applied to processing acoustic scattering data of multiple moving unmanned underwater vehicles (UUVs) on a lake. The results show that multiple small moving underwater targets can be effectively recognized according to the highlight scattering characteristics.
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Authors and Affiliations

Yang Yang
1
ORCID: ORCID
Jun Fan
1
Bin Wang
1
ORCID: ORCID
  1. Key Laboratory of Marine Intelligent Equipment and System of the Ministry of Education, Shanghai Jiao Tong University, Shanghai, China

S-modeS-model for project cost management in value engineering for construction companies

Yang Yang Wanxin Xiao Margarita Lyshenko Yang Zhang
Bulletin of the Polish Academy of Sciences Technical Sciences | 2023 | 71 | 6 | e146617 | DOI: 10.24425/bpasts.2023.146617
Keywords cash flow construction management cost control engineering construction scenario modelling value management
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Abstract

Today’s fast-changing environment for construction companies requires rapid responses and adaptation of their projects. Despite the multitude of tools applied for project cost management in engineering and construction companies, there is a need to form comprehensive solutions. The purpose of the study is to form a methodological approach to project cost management in the field of engineering construction based on alternative models to diagnose the development, assessment and selection of functional areas and content of cost management in the construction project, which allows one to increase adaptability and flexibility in the process of its implementation. The basis of research methodology is modeling, which allows one to adjust the economic and financial flows based on three S-curves, one for each component of the total cost of the work: direct costs, indirect costs and reserves. These curves include the direct cost curve for the main purchasing packages as well. This brings financial flows closer to reality because it is possible to adjust the S-curves according to the behavior of each subsystem. The contribution of the study is the proposed approach of integrating concepts related to the coordination and development of project design and production management (lean construction), forming a “3D model of management”, in a broad and comprehensive management system. It assumes a comprehensive and complete way to manage civil engineering projects. The proposed methodological approach can make a significant contribution to the preparation of forecasts and estimates by planners and controllers in the context of construction projects.
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Authors and Affiliations

Yang Yang
1 2
ORCID: ORCID
Wanxin Xiao
2 3
Margarita Lyshenko
2
Yang Zhang
2 4
  1. Department of Construction Engineering, Xinxiang Vocational and Technical College, Xinxiang, China
  2. Faculty of Economics and Management, Sumy National Agrarian University, Sumy, Ukraine
  3. Funding Center, Education Bureau of Hongqi District, Xinxiang City, China
  4. Personnel Department, Henan Expressway Monitoring Toll Communication Network Service Co. Ltd., Zhengzhou, China

Sustainable Water Management Strategies From a Historical Landscape — Case Study of Ganzhou, China
. = Zrównoważone strategie zarządzania wodami w krajobrazie historycznym — studium przypadku Ganzhou w Chinach

Ning Dong Ge Yang Yang Albert Fekete
Teka Komisji Urbanistyki i Architektury Oddziału Polskiej Akademii Nauk w Krakowie | 2021 | vol. XLIX | 325-332 | DOI: 10.24425/tkuia.2021.138719
Keywords Landscape Heritage urban ecology waterscape Sponge City Ganzhou Stormwater Management
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Abstract

Starting from the consideration that sustainability of landscape heritage is logically coupled with today’s sustainable development needs, the research explores the general ideas, methods and strategies of ancient Chinese urban water management. Based on the traditional Chinese water management experience from the ancient city of Ganzhou, the paper — analyses the current water landscape heritage in Jiangxi Province, China.
Based on the historic experience and knowledge introduced and analyzed in the case study of Ganzhou, it is possible to define rainwater management principles and sustainable development strategies for modern urban landscape that could be the basis of a new research perspective in facing today’s climate anomalies.
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Authors and Affiliations

Ning Dong Ge
1
Yang Yang
1
ORCID: ORCID
Albert Fekete
2
ORCID: ORCID
  1. Institute of Landscape Architecture, Urban Planning and Garden Art, Hungarian University of Agriculture and Life Sciences
  2. Department of Garden Art and Design, Institute of Landscape Architecture, Urban Planning and Garden Art, Hungarian University of Agriculture and Life Sciences

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