836 resultados para smart phones
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Objectives: To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data. Methods: A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014. Results: The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc. Conclusions: The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today's services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.
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In this paper, a smart wireless wristband is proposed. The potential of innovative gesture based interactivity with connected lighting solutions is reviewed. The solution is intended to offer numerous benefits, in terms of ease of use, and enhanced dynamic interactive functionality. A comparative analysis will be carried out between this work and existing solutions. The evolution of lighting and gesture controls will be discussed and an overview of alternative applications will be provided, as part of the critical analysis.
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This paper presents a development of a semi-active prosthetic knee, which can work in both active and passive modes based on the energy required during the gait cycle of various activities of daily livings (ADLs). The prosthetic limb is equipped with various sensors to measure the kinematic and kinetic parameters of both prosthetic limbs. This prosthetic knee is designed to be back-drivable in passive mode to provide a potential use in energy regeneration when there negative energy across the knee joint. Preliminary test has been performed on transfemoral amputee in passive mode to provide some insight to the amputee/prosthesis interaction and performance with the designed prosthetic knee.
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Ever since the birth of the Smart City paradigm, a wide variety of initiatives have sprung up involving this phenomenon: best practices, projects, pilot projects, transformation plans, models, standards, indicators, measuring systems, etc. The question to ask, applicable to any government official, city planner or researcher, is whether this effect is being felt in how cities are transforming, or whether, in contrast, it is not very realistic to speak of cities imbued with this level of intelligence. Many cities are eager to define themselves as smart, but the variety, complexity and scope of the projects needed for this transformation indicate that the change process is longer than it seems. If our goal is to carry out a comparative analysis of this progress among cities by using the number of projects executed and their scope as a reference for the transformation, we could find such a task inconsequential due to the huge differences and characteristics that define a city. We believe that the subject needs simplification (simpler, more practical models) and a new approach. This paper presents a detailed analysis of the smart city transformation process in Spain and provides a support model that helps us understand the changes and the speed at which they are being implemented. To this end we define a set of elements of change called "transformation factors" that group a city's smartness into one of three levels (Low/Medium/Fully) and more homogeneously identify the level of advancement of this process. © 2016 IEEE.
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Syftet med rapporten är att utgöra underlag för Dalarnas strategi för smart specialisering inom energiområdet, vilken görs enligt den europeiska modellen framarbetad av Sevilla-plattformen; Regional Forsknings- och Innovationsstrategi (RIS3). Rapporten motsvarar enligt denna modell steg 5 i processen. Rapporten ger svar på om kunskapsområdet Energieffektivt samhällsbyggande kan kvalificera sig för att vara ett prioriterat område för smart specialisering i Dalarna och lämnar förslag på hur en öppen innovationsarena inom kunskapsområdet kan organiseras. Förslag lämnas på roller och funktioner för respektive organisation inom innovationssystemet, däribland Högskolan. EUs strategi för tillväxt och jobb ”EU 2020 – Smart och hållbar tillväxt för alla” kopplar samman tillväxt och lösningen av samhällsutmaningar. I strategin ingår att styra alla befintliga verktyg i strategins riktning, vilket innebär skärpta krav på att jobba enligt strategin om man vill komma åt stöd från olika finansiella program. EUs flaggskepp ”Innovationsunionen” framhåller att konkurrenskraft och tillväxt är beroende av innovation inom produkter, tjänster, handel och samhällsmässiga processer och modeller. För att lyckas med detta behöver varje europeisk region analysera och fokusera på sina starkaste områden. EUs program för forskning och innovation Horizon 2020 ställer krav på nyttiggörande av forskning och samverkan med omgivande samhälle, varför ökad företagssamverkan behövs. Dalarnas satsning på smart specialisering inom området Energieffektivt samhällsbyggande stöds av såväl nationella som regionala innovationsstrategin, Dalarnas regionala utvecklingsstrategi, Norra Mellansveriges strukturfondsprogram, m fl programskrivningar. Kunskapsområdet energieffektivt samhällsbyggande spänner över ett brett område där allt från energiproduktion och energiöverföring till energins användning ingår. Ordet samhälle i namnet för kunskapsområdet markerar att det omfattar mer än byggande av hus. Det är energieffektiviteten som är den samlande faktorn. En vision för kunskapsområdet finns redan beslutad i Dalarnas energi- och klimatstrategi. Analysen av spetskompetens visar att det finns förutsättningar att hävda eller utveckla excellens och nå tillväxt inom flera områden inom energieffektivt samhällsbyggande, däribland elöverföring, smarta elnät, energisystem, solenergi, energieffektivt byggande och IT-transportlösningar. Dock saknas i flera fall dokumentation av hur olika verksamheter och spetskompetenser befinner sig i jämförelse med andra. Baserat på analysen konstateras att Energieffektivt samhällsbyggande kvalificerar sig för att vara ett prioriterat område för smart specialisering i Dalarna. I rapporten kartläggs och beskrivs alla aktörer inom kunskapsområdet. Tillsammans täcker de in de flesta delar av energiomställningen och innovationssystemet, uppbackat av ett starkt regionalt ledarskap och Dalarna som Pilotlän för grön utveckling. En ingående funktionsanalys av innovationssystemet inom kunskapsområdet identifierar några brister som föreslås lösas. Förslag lämnas på alla berörda aktörers roller och funktioner i innovationssystemet, där klustren förväntas ta en nyckelroll i att generera idéflöden och implementera innovationer. Högskolan Dalarna ges en central roll i specialiseringen inom energiområdet och föreslås inneha både ett energikompetenscentrum och ett innovationscenter. En öppen innovationsarena kan skapas av de tre FoI-miljöerna byggande, smarta elnät och IT i transportsektorn. Rapporten föreslår innovationsarenans arbetssätt och verksamhet.
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I-SMART is an Internet-based client management system that allows the State of Iowa and its licensed substance abuse treatment providers to administer, manage and provide cost efficient and quality substance abuse assessment and treatment services. Implementation of the I-SMART System is a key product in meeting the federal government requirements for National Outcome Monitoring System (NOMS).
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This paper proposes a process for the classifi cation of new residential electricity customers. The current state of the art is extended by using a combination of smart metering and survey data and by using model-based feature selection for the classifi cation task. Firstly, the normalized representative consumption profi les of the population are derived through the clustering of data from households. Secondly, new customers are classifi ed using survey data and a limited amount of smart metering data. Thirdly, regression analysis and model-based feature selection results explain the importance of the variables and which are the drivers of diff erent consumption profi les, enabling the extraction of appropriate models. The results of a case study show that the use of survey data signi ficantly increases accuracy of the classifi cation task (up to 20%). Considering four consumption groups, more than half of the customers are correctly classifi ed with only one week of metering data, with more weeks the accuracy is signifi cantly improved. The use of model-based feature selection resulted in the use of a signifi cantly lower number of features allowing an easy interpretation of the derived models.
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This paper focuses on computational models development and its applications on demand response, within smart grid scope. A prosumer model is presented and the corresponding economic dispatch problem solution is analyzed. The prosumer solar radiation production and energy consumption are forecasted by artificial neural networks. The existing demand response models are studied and a computational tool based on fuzzy clustering algorithm is developed and the results discussed. Consumer energy management applications within the InovGrid pilot project are presented. Computation systems are developed for the acquisition, monitoring, control and supervision of consumption data provided by smart meters, allowing the incorporation of consumer actions on their electrical energy management. An energy management system with integration of smart meters for energy consumers in a smart grid is developed.
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Email is a key communication format in a digital world, both for professional and/or personal usage. Exchanged messages (both human and automatically generated) have reached such a volume that processing them can be a great challenge for human users that try to do it on a daily basis and in an efficient manner. In fact, a significant amount of their time is spent searching and getting context information (normally historic information) in order to prepare a reply message or to take a decision/action, when compared to the actual time required for writing a reply. Therefore, it is of utmost importance for this process to use both automatic and semi-automatic mechanisms that allow to put email messages into context. Since context information is given, not only by historical email messages but also inferred from the relationship between contacts and/or organizations present in the messages, the existence of navigation mechanisms (and even exploration ones) between contacts and entities associated to email messages, is of fundamental importance. This is the main purpose of the SMART Mail prototype, which architecture, data visualization and exploration components and AI algorithms, are presented throughout this paper.