Towards a Unified Analytical Model for Different Types of Rib?: Observations and Reflections

2016 ◽  
Vol 29 (3) ◽  
Author(s):  
Mohammad Alsuhaibani
Author(s):  
Laurence Attuel-Mendes ◽  
Djamchid Assadi ◽  
Silsa Raymond

Although the crowdfunding (CF) sector is booming, research focusing on motivation of contributors is mainly exploratory and does not propose an analytical model. This chapter aims to propose a typology of differentiated motivations according to the type of CF. The main results, authentic compared to the existing literature, show that types of motivation are not the same depending on the type of CF considered. These findings provide significant practical guidelines for three major actors of a CF process: CF platforms must communicate according to the segmentation resulting from the respective predominant motivations. Project leaders should go beyond the simple utility and inform contributors according to the life of the project and its segmentation and the required technical tools of contribution. Contributors share personal ties and observe how the projects succeed regarding loan with interest; therefore, certain motivations, found in this research, such as pleasure of contributing, living experiences, and supporting creators should not be put forward in all the CF campaigns.


Urban Studies ◽  
2019 ◽  
Vol 57 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Félix Adisson ◽  
Francesca Artioli

This article contributes to current debates on urban austerity by comparing public land privatisations in French and Italian cities. These privatisations have emerged in several countries during the last two decades as a recurring austerity measure. However, current research does not explain how similar national austerity policies result in diverse urban outcomes. This article tackles this limitation by developing an analytical model of the different types of urban austerity. It uses the intergovernmental system and local policy capacity as the main variables to explain four local patterns of austerity, that is, gridlock austerity, nationally mitigated austerity, locally mitigated austerity and opportunistic austerity. Drawing on nine case studies covering two public landowners, the article shows that public land austerity policies have become routine practice based on compromises in French cities, but conflictual and based on ad hoc solutions in Italian cities.


Author(s):  
Liang Xu ◽  
Meiqi Liu ◽  
Xiang Song ◽  
Sheng Jin

Heterogeneous bicycle traffic flows, consisting of electric bicycles (e-bicycles) and regular bicycles (r-bicycles), have become the main traffic form on shared bicycle routes in China due to the increasing number of e-bicycles. As a result, overtaking occurs frequently among bicycles, which affects cyclists’ safety and perception. This paper presents an analytical model to estimate the number of passing events in heterogeneous bicycle traffic flows. The relationships between passing events and the parameters of the heterogeneous bicycle traffic flow is established in the proposed model. The probability density functions of the speed of r-bicycles and e-bicycles are taken into consideration. The results of the model analysis show that the number of passing events increases with an increase in the flow rate and density. Both a difference in speed between different types of bicycle and the standard deviation of speed of each type of bicycle have positive correlations with the number of passing events. In addition, when the proportion of e-bicycles increases, the number of passing events first increases, and then decreases. The proposed model is calibrated against field data collected in Hangzhou. The results show that the model prediction is consistent with field observations. The model proposed in this paper provides an analytical approach to study the relationship between the characteristics of heterogeneous bicycle traffic flows and the number of passing events. This work can be considered a prerequisite for the development of the bicycle level of service criteria for heterogeneous bicycle flows.


Author(s):  
Mohan Murthy MK ◽  
Sanjay HA ◽  
Supreeth BM

IaaS providers provide infrastructure to the end users with various pricing schemes and models. They provide different types of virtual machines (small, medium, large, etc.). Since each IaaS provider uses their own pricing schemes and models, price varies from one provider to the other for the same requirements. To select a best IaaS provider, the end users need to consider various parameters such as SLA, pricing models/schemes, VM heterogeneity, etc. Since many parameters are involved, selecting an efficient IaaS provider is a challenging job for an end user. To address this issue, in this work we have designed, implemented and tested a decision-assist system which assists the end users to select efficient IaaS provider(s). Our decision-assist system consists of an analytical model to calculate the cost and decision strategies to assist the end user in selecting the efficient IaaS provider(s). The decision assist system considers various relevant parameters such as VM configuration, price, availability, etc. to decide the efficient IaaS provider(s). Rigorous experiments have been conducted by emulating various IaaS providers, and we have observed that our DAS successfully suggests the efficient IaaS provider/ providers by considering the input parameters given by the user.


Author(s):  
Qingyu Wang ◽  
Brian Pettinato ◽  
Eric Maslen

Critical to the result value of an identification process is establishment of the reliability or accuracy of the identified parameters. Uncertainty in the identification process can stem both from uncertainty in the analytical model and from uncertainty in the test data. The uncertainty propagation turns out to be difficult to estimate due to rather complicated identification process and the dimension of the analytical model. Currently, there is no uncertainty analysis and quality estimation available in the literature to the author’s knowledge for model-based identification in rotordynamics. This paper borrows linear fractional transformation (LFT) and μ-analysis from the controls community to perform this job. The basic idea is that the uncertainty of the identified result can be expressed as a system with uncertainties, and therefore quality estimation is equal to bounding the gain of this system. This system is built in two steps: first, different types of source uncertainties are expressed as LFT format, and second, the whole identification process with uncertainties is transformed into a single LFT format. μ-analysis is then used to bound the gain of this LFT. The uncertainty analysis and bounding algorithm are illustrated with the same experimental data used in the last paper, for both model-based and direct measurement methods.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Julia I. Real Herráiz ◽  
Silvia Morales-Ivorra ◽  
Clara Zamorano Martín ◽  
Vicente Soler Basauri

In recent years, there has been a significant increase in the development of the railway system. Despite the huge benefits of railways, one of the main drawbacks of this mode of transport is vibrations caused by vehicles in service, especially in the case of trams circulating in urban areas. Moreover, this undesirable phenomenon may be exacerbated by the presence of irregularities in the rail-wheel contact. Thus, an analytical model able to reproduce the vibrational behavior of a real stretch of tram track was implemented. Besides, a simulation of different types of corrugation was carried out by calculating in an auxiliary model the dynamic overloads generated by corrugation. These dynamic overloads fed the main model to obtain the vibrations generated and then transmitted to the track.


1986 ◽  
Vol 23 (04) ◽  
pp. 851-858 ◽  
Author(s):  
P. J. Brockwell

The Laplace transform of the extinction time is determined for a general birth and death process with arbitrary catastrophe rate and catastrophe size distribution. It is assumed only that the birth rates satisfyλ0= 0,λj> 0 for eachj> 0, and. Necessary and sufficient conditions for certain extinction of the population are derived. The results are applied to the linear birth and death process (λj=jλ, µj=jμ) with catastrophes of several different types.


2020 ◽  
Vol 43 ◽  
Author(s):  
Rajen A. Anderson ◽  
Benjamin C. Ruisch ◽  
David A. Pizarro

Abstract We argue that Tomasello's account overlooks important psychological distinctions between how humans judge different types of moral obligations, such as prescriptive obligations (i.e., what one should do) and proscriptive obligations (i.e., what one should not do). Specifically, evaluating these different types of obligations rests on different psychological inputs and has distinct downstream consequences for judgments of moral character.


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