Classification of flight takeoff risk level based on selective ensemble clustering

2021 ◽  
Author(s):  
Zhenya Liu ◽  
Haiyan Chen ◽  
Xiaye Hou ◽  
Ligang Yuan
2012 ◽  
Vol 38 ◽  
pp. 391-404
Author(s):  
N.B. Balamurugan ◽  
M. Jothi ◽  
R. Harikumar
Keyword(s):  

2019 ◽  
Vol 26 (7) ◽  
pp. 1065-1069 ◽  
Author(s):  
Danni Ni ◽  
Guorui Feng ◽  
Liquan Shen ◽  
Xinpeng Zhang

2015 ◽  
Vol 79 ◽  
pp. 358-368 ◽  
Author(s):  
Miguel Gastón Cedillo-Campos ◽  
Hermes Orestes Cedillo-Campos
Keyword(s):  

CICTP 2015 ◽  
2015 ◽  
Author(s):  
Meixia Yang ◽  
Xuedong Yan ◽  
Xiaomeng Li

2020 ◽  
Vol 165 ◽  
pp. 04070
Author(s):  
Tian Xun

The risk level evaluation of foundation pit construction has the characteristics of fuzziness and randomness. Based on the theory of cloud model, a new model of risk level of foundation pit construction is discussed to comprehensively analyze the fuzziness and randomness of foundation pit construction risk assessment. Firstly, the evaluation index system of foundation pit construction risk level is established according to the field monitoring value, and then the cloud numerical characteristics of each evaluation factor belonging to different risk levels are calculated. According to the cloud digital characteristics of each evaluation factor, the determination degree of each evaluation factor belonging to different risk levels can be obtained. Finally, the weight and determination degree of the evaluation factor can be calculated comprehensively to obtain the comprehensive certainty degree of foundation pit construction risk, so as to determine the foundation pit construction risk level. The results of practical application and comparison with other evaluation methods show that this model is effective and feasible for risk classification of foundation pit construction, and has the advantages of simple calculation process and reliable results, which also provides a reference for the analysis of other similar problems.


Author(s):  
Анжела Алешаевна Барсегян

Recent structural changes in the economy of the Nagorno-Karabakh Republic have had a significant impact on the entire public relations system, obliging to review the mechanisms for making economic decisions as primary ones. The formation of NKR coincided with the collapse of the USSR and with the radical changes in the system of economic relations that led to this. Since its formation, local authorities have adopted a strategy for the development of the construction sector by stimulating investment, which intends the creation of a favorable investment environment and the development of an appropriate infrastructure. Despite the fact that NKR construction sector has great potential for attracting investments, the level of foreign investors’ activity in this area is quite low. The main reason is probably a high risk level, which is determined by such factors as political instability in the region, the geographical location of NKR, its economic isolation, an incomplete legal framework, and the underdevelopment of financial and market infrastructures. As a result, many investment projects, including cost-effective and efficient ones, are not implemented.Uncertainty associated with the possibility of adverse situations and consequences during the implementation of the project is characterized by the concept of “risk”. The effectiveness of the risk management organization is largely determined by the classification of risk. Depending on the main cause of the risk (basic or natural risk), the classification of risks associated with the implementation of investment construction projects provides a favorable basis for a clear and reasonable risk assessment, which is one of the crucial factors in the effectiveness of the risk management process.


2020 ◽  
pp. 71-81
Author(s):  
Валерий Васильевич Холщевников ◽  
Алексей Алексеевич Семин ◽  
Мария Александровна Роганина

Целью работы является установление закономерностей связи между параметрами потоков, состоящих из людей с ограниченными возможностями передвижения. Рассматриваются исследования эвакуации пациентов и персонала из здания поликлинического корпуса. Последовательно отображаются методы исследования и обработанные с помощью математической статистики эмпирические данные. Приведены различия между полученными данными и нормативными документами. The technical regulations on fire safety provide for the need to ensure in buildings and facilities for various purposes an individual fire risk level below 10-6 per year. At the same time: “Escape routes should not include elevators ...”. In these conditions the psychophysiological qualities and physical condition of patients determine the possibility of their timely and unhindered evacuation. The specifics of the physical capabilities of the main functional contingent of patients in buildings of medical institutions determined the need for special full-scale observations of the human flows movement in order to establish scientifically reasoned patterns of interaction principles between their parameters, likely during evacuation in emergency situations, in particular, in case of fire. The article considers the oldest (1773) medical multi-specialty institution in Russia - M.F. Vladimirsky Moscow Regional Research Clinical Institute. A full-scale observation of people evacuation along horizontal paths and stairs from the polyclinic buildings was carried out to define the calculated values of human flows parameters. The methodology of full-scale observations during training evacuation is described. Interaction principles between the flow parameters during evacuation were established. The classification of traffic conditions is made. There is given the comparison of values describing the interaction principles between the parameters of human flows in normalization and in the obtained empirical data. Instead of the same speeds of free movement along the horizontal path and down the stairs, the studied population has almost identical threshold values of the flow density when moving along these types of path: D = 1.08 people / m. This indicates the identical very high sensitivity (1/D) of the sensor system with limited mobility to flow density changes on these types of path.


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