Insurability Challenges Under Uncertainty: An Attempt to Use the Artificial Neural Network for the Prediction of Losses from Natural Disasters

The main difficulty for natural disaster insurance derives from the uncertainty of an event’s damages. Insurers cannot precisely appreciate the weight of natural hazards because of risk dependences. Insurability under uncertainty first requires an accurate assessment of entire damages. Insured and insurers both win when premiums calculate risk properly. In such cases, coverage will be available and affordable. Using the artificial neural network – a technique rooted in artificial intelligence - insurers can predict annual natural disaster losses. There are many types of artificial neural network models. In this paper we use the multilayer perceptron neural network, the most accommodated to the prediction task. In fact, if we provide the natural disaster explanatory variables to the developed neural network, it calculates perfectly the potential annual losses for the studied country.Natural disaster losses, Insurability, Uncertainty, Multilayer perceptron neural network, Prediction.

Location models in the public sector

The past four decades have witnessed an explosive growth in the field of networkbased facility location modeling. This is not at all surprising since location policy is one of the most profitable areas of applied systems analysis in regional science and ample theoretical and applied challenges are offered. Location-allocation models seek the location of facilities and/or services (e.g., schools, hospitals, and warehouses) so as to optimize one or several objectives generally related to the efficiency of the system or to the allocation of resources. This paper concerns the location of facilities or services in discrete space or networks, that are related to the public sector, such as emergency services (ambulances, fire stations, and police units), school systems and postal facilities. The paper is structured as follows: first, we will focus on public facility location models that use some type of coverage criterion, with special emphasis in emergency services. The second section will examine models based on the P-Median problem and some of the issues faced by planners when implementing this formulation in real world locational decisions. Finally, the last section will examine new trends in public sector facility location modeling.Location analysis, public facilities, covering models

A Chance Constrained Programming Model for Reliable Emergency Vehicles Relocation Problem

AbstractEmergency vehicles relocation is one mechanism of increasing preparedness for potential emergencies. This paper addresses the problem of designing reliable emergency vehicles relocation system. Under this respect, we extend the DYNACO model with chance-constrained programming framework for the optimal redeployment of emergency vehicles. The model deals with the availability of emergency vehicles by approximate hypercube. In addition, other random elements including travel time and emergency demand are taken into account in the model. Solution procedure based on genetic algorithm and Monte-Carlo simulation is developed to solve the stochastic model. Computational experiences are reported to illustrate the performance and the effectiveness of the proposed solution

Optimal location of car wreck adjusters

Su origen es difícil de determinar debido a las diversas restauraciones que se han llevado a cabo, los datos más antiguos son del siglo XVIII, aunque su origen es sin duda anterior. Junto a la Capilla se habilitó un hospital y asilo de transeúntes. Presenta planta rectangular, de una sola nave cubierta con una artesa de yeso y el presbiterio con bóveda de arista. Tiene una espadaña con campana y veleta de forja. En la puerta podemos encontrar un azulejo polícromo del siglo XVIII con la imagen de la Virgen de los Remedios. En el Interior, en el altar mayor, observamos una imagen de la Virgen de los Remedios, titular de la Capilla y Patrona del pueblo desde 1964. En el presbiterio, dentro de dos retablos neoclásicos, se encuentran las imágenes de San Isidro Labrador y de la Divina Pastora. Desde comienzos del siglo XXI la capilla ha estado cerrada ya que presentaba un elevado estado de deterioro. Debido a esto las imágenes fueron trasladadas a la Iglesia Parroquial. En el año 2012, dicho edificio fue restaurado quedando nuevamente abierto al público

Vehicle to vehicle (V2V) wireless communications

This work focuses on the vehicle-to-vehicle (V2V) communication, its current challenges, future perspective and possible improvement.V2V communication is characterized by the dynamic environment, high mobility, nonpredective scenario, propagation effects, and also communicating antenna's positions. This peculiarity of V2V wireless communication makes channel modelling and the vehicular propagation quite challenging. In this work, firstly we studied the present context of V2V communication also known as Vehicular Ad-hoc Netwok (VANET) including ongoing researches and studies particularly related to Dedicated Short Range Communication (DSRC), specifically designed for automotive uses with corresponding set of protocols and standards. Secondly, we focused on communication models and improvement of these models to make them more suitable, reliable and efficient for the V2V environment. As specifies the standard, OFDM is used in V2V communication, Adaptable OFDM transceiver was designed. Some parameters as performance analytics are used to compare the improvement with the actual situation. For the enhancement of physical layer of V2V communication, this work is focused in the study of MIMO channel instead of SISO. In the designed transceiver both SISO and MIMO were implemented and studied successfully

Extent and Distribution of Urban Tax Delinquency

Purpose – Work-place learning takes place in many settings and in different ways, resulting in knowledge and skills of different kinds. The recognition process in the work place is however often implicit and seldom discussed in terms of recognition of prior learning (RPL). The aim of this paper is to give examples of how the knowledge/skills of employees get recognition in the workplace and to discuss what the consequences of such recognition processes might be. Design/methodology/approach – This paper is based on a study in two companies and two municipalities, where 21 interviews were conducted with human resource managers, team leaders and union representatives. The research questions concerned the ways skills were recognised among employees and how the logics of these actions could be understood. Findings – The findings show that both companies and municipalities have their own ways of assessing knowledge/skills, mostly out of a production logic of what is needed at the workplace. However, certain skills are also made “unvisualised” for the employee. This employer-controlled recognition logic is important to understand when RPL models are brought to the work place in order to obtain win-win situations for both employers and employees. Practical implications – It seems important to identify an already existing system for assessment of knowledge/skills at the workplace when bringing RPL processes to the workplace. Originality/value – The approach to understand assessment processes in these companies and municipalities from an RPL perspective has not been widely covered before