A progressive hierarchical analysis model for collective activity recognition

2021 ◽  
Author(s):  
Lishen Pei ◽  
Xuezhuan Zhao ◽  
Tao Li ◽  
Zheng Zhang
Keyword(s):  
Activity Recognition ◽  
Hierarchical Analysis ◽  
Analysis Model ◽  
Collective Activity

scholarly journals Deep Fully Connected Model for Collective Activity Recognition

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 104308-104314 ◽  
Author(s):  
Jichao Liu ◽  
Chuanxu Wang ◽  
Yuting Gong ◽  
Hao Xue
Keyword(s):  
Activity Recognition ◽  
Collective Activity ◽  
Fully Connected

scholarly journals Valuation of the Vocationality of Cultural Heritage: The Vesuvian Villas

2020 ◽  
Vol 12 (3) ◽  
pp. 943 ◽  
Author(s):  
Fabiana Forte ◽  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Federica Troisi
Keyword(s):  
Real Estate ◽  
Cultural Heritage ◽  
Multicriteria Analysis ◽  
Financial Resources ◽  
Actual State ◽  
Hierarchical Analysis ◽  
Analysis Model ◽  
Analysis Technique ◽  
Management Policies ◽  
Architectural Structures

The Vesuvian Villas are a system of architectural assets that, due to important artistic, historical and typological characteristics, have relevance that is not only local. However, due to ineffective management policies and insufficient financial resources, the system of the Vesuvian Villas is subject to abandonment or to invasive transformations for speculative purposes. The management policies for these real estate goods would require a profound theoretical and operational review that, together with the overcoming of the binding instrument as the only guarantee of protection, pursues conservation through synergies founded on appropriate uses of the Vesuvian Villas. This innovative path is difficult to implement due to the substantial rigidity of the architectural structures and the transformations aimed at renewing the forms of use, but mostly for the lack of available financial resources. Starting from the analysis of the relationships between conservation and transformation of the historical architectural asset, the paper proposes a multicriteria analysis model for the evaluation of the "vocational" nature of the "Villa Vesuviana" property, aimed to its conservative reuse. This suitability was assessed starting from a set of indicators explaining the actual state of the building (typological, morphological, structural and artistic characteristics) and its location. The indicators have been evaluated through qualitative judgments made using the hierarchical analysis technique. Particular attention was paid to the evaluation of synergies deriving from complementary uses.

A fully connected model for consistent collective activity recognition in videos

2014 ◽  
Vol 43 ◽  
pp. 109-118 ◽  
Author(s):  
Takuhiro Kaneko ◽  
Masamichi Shimosaka ◽  
Shigeyuki Odashima ◽  
Rui Fukui ◽  
Tomomasa Sato
Keyword(s):  
Activity Recognition ◽  
Collective Activity ◽  
Fully Connected

Cloud Hierarchical Analysis for Educational Resources of Engineering Education Accreditation in China

2013 ◽  
Vol 380-384 ◽  
pp. 2577-2580
Author(s):  
Niu Xiao ◽  
Kai Hu Hou ◽  
Wei Zhen Liao
Keyword(s):  
Engineering Education ◽  
Geometric Mean ◽  
Educational Resources ◽  
Educational Resource ◽  
Hierarchical Analysis ◽  
Analysis Model ◽  
High Quality ◽  
The Core ◽  
Calculation Results

The core of engineering education Accreditation is to estimate engineering education qualification of each institute and make a direction for institutes development. The purpose of Accreditation is to improve universities ability to educate high quality engineers and to enhance Chinese engineering education and to make pace with international engineering education. Educational resources that affect the engineering education accreditation is one of important factors, Therefore, the model of educational resource for engineering education Accreditation becomes very important to insure the quality of Accreditation. This paper use Cloud Hierarchical Analysis (CHA) to deal with the fuzziness and uncertainty in the engineering education Accreditation. The Cloud Hierarchical Analysis can efficiently describe the fuzziness and randomness of judgment graphically by cloud figure and provide a picture for decision maker. Using cloud operator and geometric mean method to calculate the Cloud weights for each positive reciprocal Cloud matrix, and these weights are combined to determine the final Cloud scores for the alternatives. Finally, the calculation results show that Cloud Hierarchical Analysis model is suitable for educational resources of engineering education Accreditation.

scholarly journals Construction and Analysis of Green Investment Risk Evaluation Index System Based on Information Entropy Fuzzy Hierarchical Analysis Model

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yuqi Huang
Keyword(s):  
Risk Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Hierarchical Analysis ◽  
Analysis Model ◽  
Green Finance ◽  
Green Investment ◽  
Operation Risk

This paper adopts the information entropy fuzzy hierarchical analysis model to conduct an in-depth study and analysis of the green investment risk evaluation system and to process and analyze its indicators. The entropy method-fuzzy hierarchical analysis is used to evaluate the green financial capital operation risk. Firstly, I point out the research trends and shortcomings, define the concepts of fund operation, operation risk, risk evaluation, and green finance, and elaborate the relevant basic theories to lay the theoretical foundation for the later research; secondly, I identify the external and internal fund operation risks by describing the development plan, overall operation, and specific operation plan of green finance; then, according to the existing fund operation risks, I integrate commercial banks’ risk. Then, based on the existing fund operation risks, I integrate the risk types of commercial banks, combine the characteristics of green finance business, design the green finance fund operation risk evaluation index system, initially determine the index weights through hierarchical analysis method, introduce the entropy value method to improve the index weights, and use the fuzzy comprehensive evaluation method to obtain the final evaluation results: in the process of green finance fund operation, internal risk is the most important risk, among which credit risk and financial innovation risk have the most significant impact; external risk is the second most important risk, among which economic risk and political risk are the most important. External risks are the second most important risks, among which economic risks and political risks are more obvious. The risks are judged from single-factor aspects, and the scoring values are used to determine the higher possibility of schedule risks caused by human factors, and finally, the schedule risk level of the reservoir project is determined to be medium through a comprehensive evaluation. The reasonableness of the calculation results shows that the entropy theory and the fuzzy comprehensive evaluation method are still applicable to the assessment of green investment risks.

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