A Systematic Research on Reconstructing the Accident Velocity with Braking Traces

2012 ◽  
Vol 591-593 ◽  
pp. 2114-2117
Author(s):  
Chao Wei ◽  
Miao Xin Nie
Keyword(s):  
Environmental Factors ◽  
Systematic Research ◽  
Reconstruction Method ◽  
Vehicle Speed ◽  
Factors Influencing ◽  
Parameters Selection ◽  
One To One ◽  
Important Basis ◽  
Reconstructed Model ◽  
Selection Of

Braking trace is the important basis to reconstruct the speed of the accident vehicle. There does not exist one-to-one relationship between the barking trace and the vehicle speed. It needs to have a further research on the factors influencing their corresponding relations, otherwise it may appear great errors to reproduce the vehicle speed with the braking trace. This paper analyzes the influence of people, cars, roads, environmental factors on the corresponding relationship between the initial braking velocity and braking traces, explores the use conditions and parameters selection of the reconstructed model in the standard GA/T643-2006, and the experiment is designed to research on the uncertainty of the reconstruction of the model. Besides, it has proposed the experimental reconstruction method.

scholarly journals SOCIAL CULTURAL AND ENVIRONMENTAL RELATED FACTORS INFLUENCING THE SELECTION OF AREAS OF RESIDENCE IN KENYA: A SURVEY OF NAIROBI RESIDENTS

2017 ◽  
Vol 2 (1) ◽  
pp. 17
Author(s):  
Grace W. Njoroge Kahura ◽  
Prof. Joe K. Kamaria
Keyword(s):  
Social Class ◽  
Environmental Factors ◽  
Noise Level ◽  
Cultural Factors ◽  
Related Factors ◽  
Running Water ◽  
Drainage Systems ◽  
Factors Influencing ◽  
Selection Of

Purpose: The purpose the study was to investigate the social cultural and environmental related factors influencing the selection of areas of residence in Kenya in the case of Nairobi residents.Methodology: The researcher used descriptive research design. The scope of the study was limited to Nairobi County. The study identified a population of 985,016 households in Nairobi County out of which a sample of 150 respondents were used. Random sampling technique was used to select the respondents from each category. The study used primary data that was collected using questionnaires. Data was analyzed using Statistical Package for Social Sciences (SPSS). The data was then analysed in terms of descriptive statistics like frequencies and percentages.Results: Results indicated that majority of the respondents found social-cultural factors such as safe neighborhood, relations with neighbors, nearness to family and friends, noise level, degree of crowding, size of household, social class and quality of schools in the neighborhood as being important while choosing their places of residence. The results indicated that the most important social cultural factor is quality of schools in the neighbourhood, followed by safety of neighbourhood, degree of crowding, and social class. The least ranked factors were relations with neighbors, community stability, nearness to family and friends, noise level, and size of household. Results indicated that majority of the respondents attached a lot of importance to environmental factors while choosing their places of residence since most of them disagreed with the statement that they would live in an area with poor drainage systems. On the other hand, majority of the respondents agreed to the statements that cleanliness of the neighborhood was important, running water is important, they would pay more for houses that conserve the environment such as energy-efficient housing, knowledge of the materials used to construct a house is necessary.Unique contribution to theory, practice and policy: The study recommended that that social-cultural factors are very important aspects to consider when choosing place of residence. Therefore, it is advisable to take note of such factors as safe neighbourhood, degree of crowding among others before concluding on where to reside. It is also recommended that it would be significant to prioritize environmental factors such as drainage systems, availability of running water, and cleanliness of the neighbourhood among other environmental factors while concluding a decision on where to reside. It is also recommended that landlords should put into consideration such factors since majority of their potential tenants’ decision to reside in a given area will in most cases be influenced by such factors.

scholarly journals Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7702
Author(s):  
Shu Han ◽  
Xiaoming Liu ◽  
Yan Yang ◽  
Hailin Cao ◽  
Yuanhong Zhong ◽  
...  
Keyword(s):  
Production Equipment ◽  
Signal Decomposition ◽  
Reconstruction Method ◽  
Intelligent Algorithm ◽  
Excellent Performance ◽  
Marine Predator ◽  
Mode Decomposition ◽  
Transmission Equipment ◽  
Parameters Selection ◽  
Selection Of

With the development of modern industry and scientific technology, production equipment plays an increasingly important role in military and industrial production, and the fault detection signal of gears and bearings state in transmission equipment becomes very important. Therefore, this paper proposes a gear-bearing composite fault signal decomposition and reconstruction method, which combines the marine predator algorithm (MPA) and variational mode decomposition (VMD) technologies. For the parameters’ selection of VMD, the optimization algorithm allows us to quickly and accurately obtain the results with the best kurtosis correlation index after signal decomposition and reconstruction. The experiments demonstrate the excellent performance of our method in the field of separation and denoising mixed gear-bearing fault signals.

scholarly journals The Winter Habitat Selection of Red Deer (Cervus elaphus) Based on a Multi-Scale Model

Animals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 2454
Author(s):  
Yue Sun ◽  
Yanze Yu ◽  
Jinhao Guo ◽  
Minghai Zhang
Keyword(s):  
Habitat Selection ◽  
Environmental Factors ◽  
Cervus Elaphus ◽  
Red Deer ◽  
Scale Model ◽  
Winter Habitat ◽  
Multi Scale ◽  
Optimal Scale ◽  
Scale Models ◽  
Selection Of

Single-scale frameworks are often used to analyze the habitat selections of species. Research on habitat selection can be significantly improved using multi-scale models that enable greater in-depth analyses of the scale dependence between species and specific environmental factors. In this study, the winter habitat selection of red deer in the Gogostaihanwula Nature Reserve, Inner Mongolia, was studied using a multi-scale model. Each selected covariate was included in multi-scale models at their “characteristic scale”, and we used an all subsets approach and model selection framework to assess habitat selection. The results showed that: (1) Univariate logistic regression analysis showed that the response scale of red deer to environmental factors was different among different covariate. The optimal scale of the single covariate was 800–3200 m, slope (SLP), altitude (ELE), and ratio of deciduous broad-leaved forests were 800 m in large scale, except that the farmland ratio was 200 m in fine scale. The optimal scale of road density and grassland ratio is both 1600 m, and the optimal scale of net forest production capacity is 3200 m; (2) distance to forest edges, distance to cement roads, distance to villages, altitude, distance to all road, and slope of the region were the most important factors affecting winter habitat selection. The outcomes of this study indicate that future studies on the effectiveness of habitat selections will benefit from multi-scale models. In addition to increasing interpretive and predictive capabilities, multi-scale habitat selection models enhance our understanding of how species respond to their environments and contribute to the formulation of effective conservation and management strategies for ungulata.

scholarly journals Environmental factors influencing the number of mosquitoes captured by C0_2 traps at residential areas in Tokyo and neighboring cities, Japan

2005 ◽  
Vol 56 (Supplement) ◽  
pp. 48
Author(s):  
N Nihei ◽  
T Tsuda ◽  
H Kurahashi ◽  
Y Higa ◽  
O Komagata ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Residential Areas ◽  
Factors Influencing

scholarly journals Evaluating socio‐economic and environmental factors influencing farm‐level water scarcity in Punjab, Pakistan

2020 ◽  
Author(s):  
Muhammad Awais Ali Khan ◽  
Khalid Mahmood Ch. ◽  
Ijaz Ashraf ◽  
Muhammad Tahir Siddiqui ◽  
Jerry W. Knox
Keyword(s):  
Environmental Factors ◽  
Water Scarcity ◽  
Farm Level ◽  
Factors Influencing

The Analysis and Research of Traffic Accident Velocity Based on C#

2014 ◽  
Vol 505-506 ◽  
pp. 1137-1142
Author(s):  
Li Lin ◽  
Ting Ting Lv
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Front Face ◽  
Vehicle Speed ◽  
Application Range ◽  
Collision Type ◽  
Side Collision ◽  
Speed Identification ◽  
Important Basis ◽  
Collision Angle

In the process of the traffic accidents confirmation, the identification of vehicle speed when accident occurred is often an important basis for accident confirmation. The paper firstly discusses the models of mechanics and solving method for the vehicle front face, rear end, sides face ,slanted side collision based on the theory of collision mechanics ,it describes how to identify the vehicle rate and collision angle based on the model simplification, the theoretical analysis for dealing with the complicated accidents. The common and formulas are studied based on the classical collision mechanics method. The application range, parameters involved in selection and influence of the formulas are analyzed in detail. Finally the program based on C# is developed according to the identified calculation process for vehicle speed of traffic accident. The vehicle speed is obtained by selecting the collision type, entering the relevant accident pattern, inputting the parameters and clicking the command button .The application can store, modify and display results conveniently , improve efficiency on vehicle speed identification effectively and reduce the processing cycle of traffic accident availably.

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