Search results for "home automation"
showing 10 items of 34 documents
Autonomic Computing through Reuse of Variability Models at Runtime: The Case of Smart Homes
2009
Our research shows that autonomic behavior can be achieved by leveraging variability models at runtime. In this way, the modeling effort made at design time is not only useful for producing the system but also provides a richer semantic base for autonomic behavior during execution. The use of variability models at runtime brings new opportunities for autonomic capabilities by reutilizing the efforts invested at design time. Our proposed approach has two aspects: reuse of design knowledge to achieve AC and reuse of existing model-management technologies at runtime. We developed the Model-Based Reconfiguration Engine (MoRE) to implement model-management operations. Our research demonstrates t…
IoT-Based Home Monitoring: Supporting Practitioners' Assessment by Behavioral Analysis.
2019
This paper introduces technical solutions devised to support the Deployment Site - Regione Emilia Romagna (DS-RER) of the ACTIVAGE project. The ACTIVAGE project aims at promoting IoT (Internet of Things)-based solutions for Active and Healthy ageing. DS-RER focuses on improving continuity of care for older adults (65+) suffering from aftereffects of a stroke event. A Wireless Sensor Kit based on Wi-Fi connectivity was suitably engineered and realized to monitor behavioral aspects, possibly relevant to health and wellbeing assessment. This includes bed/rests patterns, toilet usage, room presence and many others. Besides hardware design and validation, cloud-based analytics services are intro…
Exploratory approach for network behavior clustering in LoRaWAN
2021
AbstractThe interest in the Internet of Things (IoT) is increasing both as for research and market perspectives. Worldwide, we are witnessing the deployment of several IoT networks for different applications, spanning from home automation to smart cities. The majority of these IoT deployments were quickly set up with the aim of providing connectivity without deeply engineering the infrastructure to optimize the network efficiency and scalability. The interest is now moving towards the analysis of the behavior of such systems in order to characterize and improve their functionality. In these IoT systems, many data related to device and human interactions are stored in databases, as well as I…
Internet of Things : Wireless Technologies in Home Automation Solutions
2015
Esineiden internet on kasvava ala ja kotiautomaatioratkaisut ovat todennäköi-sesti kuluttajien ensimmäisiä kosketuksia tämänlaiseen teknologiaan. Radiotaa-juusteknologiat ovat olennainen osa sensoriverkkoa ja tällä hetkellä moni tek-nologia pyrkii olemaan standardi kotiautomaatiossa. Kotiautomaatio liiketoi-mintana tulee kasvamaan voimakkaasti tulevina vuosina ja kehittyneillä senso-riverkoilla pelkästään kotona mahdollisuudet ovat suuret. Tässä tutkielmassa esitellään neljä teknologiaa: Wi-Fi, ZigBee, Z-wave ja Bluetooth. Teknologioiden pääpiirteet on selitetty ja esitetty olemassa olevien tuotteiden kautta. Olen käyttänyt SWOT–analyysiä tuotteisiin ja niitä tuottaviin yrityksiin saadaksen…
Knowledge management in cyberphysical systems: determining the quality requirements for health systems with the Kano model
2018
This paper focuses on knowledge management in cyberphysical systems (CPS), dealing with the importance and influence of smart technologies for the creation of the smart health systems as a part of the smart home. This approach considers the reorganisation and adaptation of medicine and health systems, building the research framework upon knowledge management 4.0 for health systems. Customer satisfaction or dissatisfaction was researched using the qualitative methodology of the Kano model. The questionnaire deals with five factors that play a crucial role in the decision to purchase such a system: 1) software reliability; 2) medical device interoperability; 3) security and privacy; 4) system…
Challenges and Trends in Home Automation
2021
Home automation (HA) systems can be considered as an implementation of the internet of everything (IoE) where many devices are linked by intelligent connections in order to improve the quality of life at home. This chapter is dedicated to analyzing current trends and challenges in HA. Energy management, safer homes, and improved control over the house are some of the benefits of HA. However, privacy, security, social disruption, installation/maintenance issues, economic costs, market fragmentation, and low interoperability represent real problems of these IoE solutions. In this regard, the latest proposals in HA try to answer some of these needs with low-cost DIY solutions, wireless solutio…
A Context-Aware System for Ambient Assisted Living
2017
In the near future, the world's population will be characterized by an increasing average age, and consequently, the number of people requiring for a special household assistance will dramatically rise. In this scenario, smart homes will significantly help users to increase their quality of life, while maintaining a great level of autonomy. This paper presents a system for Ambient Assisted Living (AAL) capable of understanding context and user's behavior by exploiting data gathered by a pervasive sensor network. The knowledge inferred by adopting a Bayesian knowledge extraction approach is exploited to disambiguate the collected observations, making the AAL system able to detect and predict…
An Ambient Intelligence System for Assisted Living
2017
Nowadays, the population's average age is constantly increasing, and thus the need for specialized home assistance is on the rise. Smart homes especially tailored to meet elderly and disabled people's needs can help them maintaining their autonomy, whilst ensuring their safety and well-being. This paper proposes a complete context-aware system for Ambient Assisted Living (AAL), which infers user's actions and context, analyzing its past and current behavior to detect anomalies and prevent possible emergencies. The proposed system exploits Dynamic Bayesian Networks to merge raw data coming from heterogeneous sensors and infer user's behavior and health conditions. A rule-based reasoner is ab…
An AMI System for User Daily Routine Recognition and Prediction
2014
Ambient Intelligence (AmI) defines a scenario involving people living in a smart environment enriched by pervasive sensory devices with the goal of assisting them in a proactive way to satisfy their needs. In a home scenario, an AmI system controls the environment according to a user’s lifestyle and daily routine. To achieve this goal, one fundamental task is to recognize the user’s activities in order to generate his daily activities profile. In this chapter, we present a simple AMI system for a home scenario to recognize and predict users’ activities. With this predictive capability, it is possible to anticipate their actions and improve their quality of life. Our approach uses a Hidden M…
A SOA-based health service platform in smart home environment
2011
The increasing demand for a good healthcare quality has brought Information and Communication Technology to an important role in healthcare domain. The trend in decreasing number of formal healthcare workers gives further pressure to move non-urgent treatments to the patients' homes. However, delivering healthcare services to meet the changing needs of inhabitants in a smart home requires an open and flexible service creation and integration environment so that the modification of existing services as well as creation of new services can be achieved in a timely manner. This paper presents a vision of a logical integration platform in a smart home environment, integrating various devices and…