Suchergebnisse

According To The World Health Organization, Between 2000 And 2050, The Propor Tion Of The World' S Population Over 60 Will Double, From 11% To 22%. In Absolute Numbers, This Age Group Will Increase From 605 Million To 2 Billion In The Course Of Half A Century. It Is A Reality That Most Of Them Prefer To Live Alone, So It Is Necessary To Look For Mechanisms And Tools That Will Help Them To Improve Their Autonomy. Although In Recent Years, We Have Been Living In A Veritable Explosion Of Domotic Sys Tems That Facilitate People' S Daily Lives, It Is Also True That There Are Not Many Tools Specifically Aimed At This Sector Of The Population. The Aim Of This Paper Is To Present A Potential Solution To The Monitoring Of Activity Of Daily Living In The Least Intrusive Way For People. In This Case, Anomalous Patterns Of Daily Activities Will Be Detected By Analysing The Daily Consumption Of Household Appliances. People Who Live Alone Usu Ally Have A Pattern Of Daily Behaviour In The Use Of Household Appliances (Coffee Machine, Microwave, Television, Etc.). A Neuronal Model Is Proposed For The Detection Of Abnormal Behaviour Based On An Autoencoder Architecture. This Solution Will Be Compared With A Variational Autoencoder To Analyse The Improvements That Can Be Obtained. The Well-Known Dataset Called Uk-Dale Will Be Used To Validate The Proposal. ; V PRICIT (Regional Programme of Research and Technological Innovation); Madrid Government (Comunidad de Madrid-Spain); Universidad Carlos III de Madrid, and Competitiveness (MINECO), Grant/Award Numbers: RTC-2016-5059-8, RTC-2016-5191-8, RTC-2016-5595-2, TEC2017-88048-C2-2-R; Spanish Ministry of Economy; Company MasMovil

AbstractLocal governments dispose of powerful tools like development funds that can be distributed among its different constituents to compensate economic disequilibrium originated by a complex array of factors. But it is always one of the hardest decisions to assign handouts to people who could think its own expectations are not being taken properly into account. Each stakeholder has different criteria to evaluate his needs, and to demand a particular investment effort. Since resources are very limited in local levels, city hall governments are pulled apart by those conflicting demands. The challenge of addressing them at the same time can be modelled as a multi‐criteria decision‐making. The aim of this paper is to show that the analytic hierarchy process (AHP) could work out the most acceptable distribution of the funds among the different city districts and neighbourhoods. The application of the model in Madrid shows that AHP: (a) allows to incorporate opposing demands; (b) increases the transparency of the decision‐making process; (c) eases the decentralization of governmental decisions; (d) enhances the legitimation of the final outcome; and (e) it is a scientific approach with great potential to be applied in similar domains where hard political decisions are needed.