Mes travaux de recherches en thèse s’inscrivent dans le cadre du projet FUIE-monitorâge. L’objectif du projet, réunissant de nombreux partenaires industriels et universitaires, est d’améliorer la prise en charge individualisée et la sécurité du résident dans les établissements d’hébergement pour personnes âgées dépendantes(EHPAD). Dans ce travail, nous avons élaboré une méthode de fusion de données multimodales issues des différents capteurs installés dans un smart home. Ces informations sont utilisées pour la localisation intérieure des personnes afin de surveiller leurs activités journalières. Généralement, les mesures issues des capteurs sont soumises à des incertitudes. Dans nos travaux, ces erreurs sont supposées inconnues mais bornées. En tenant compte de cette hypothèse, une méthode de résolution d’un problème d’estimation d’état est élaborée en se basant sur des calculs ensemblistes. Notre algorithme de filtrage ensembliste comporte deux étapes. La première, dite de prédiction, est basée sur l’utilisation d’un modèle de marche aléatoire avec des hypothèses minimales (vitesse de déplacement maximale) pour prédire la zone où se trouve la personne. La deuxième étape, dite de correction, consiste à utiliser la mesure pour affiner cette zone. Cette étape utilise une technique de propagation de contraintes relâchée, q-relaxed intersection, pour permettre une meilleure robustesse par rapport aux données aberrantes. Notre algorithme est capable de quantifier, par un intervalle, l’incertitude commise sur les positions de cibles en mouvement tout en détectant les défauts de capteurs. / Our research work is a part of the project FUI 14 FEDER Collectivités E-monitor’âge. This project takes place within the framework of Ambient Assisted Living (AAL) which aims to improve the safety and the comfort of elderly people living in smart nursing homes. This work aims to monitor the activities of elderly persons using information from different sensors. The ADL (Activities of Daily Living) are used to evaluate the ability of the person to perform on their own a selection of the activities which are essential for an independent living in the everyday life. Generally, process knowledge and measurements coming from sensors are prone to indeterminable noise. In our work, we suppose that these errors are unknown but bounded. Taking into account this hypothesis, we show how to solve the estimation issue using set-membership computations techniques. Our algorithm, based on set-membership approach, consists of two steps. The prediction step, based on the use of a random walk mobility with minimum assumptions (maximum speed of moving), employs the previous state estimate to provide the prediction zone where the person may be located. The correction step uses the informations coming from the sensors to refine this predicted zone. This step uses a relaxed constraints propagation technique, q-relaxed intersection, to deal with faulty measurements. This proposed method allows us to compute the uncertainty domain for the reconstructed localization of moving targets as dealing with outliers.

L’émergence avérée des dispositifs dynamiques et hétérogènes ouvre la voie à l’apparition d’un nouveau type d’applications, qualifié d’ubiquitaire, qui présente la capacité d’interagir avec les capteurs et les actionneurs pénétrant nos environnements d’une manière transparente. Dans ce travail de recherche, nous nous intéressons en particulier aux applications ubiquitaires déployées dans les maisons intelligentes. Les plateformes ubiquitaires orientées services sont largement utilisées pour exécuter ces applications. Ces plateformes présentent la capacité de fournir, d’une manière dynamique, des services en fonction des besoins des applications s’y exécutant. Ces services peuvent être simples correspondant à des dispositifs ou plus abstraits fournissant des fonctions de plus haut niveau. Les applications ubiquitaires partagent ces services pour réaliser des objectifs différents, parfois conflictuels. Ces conflits doivent être traités afin de maintenir les maisons dans des états cohérents. Cette thèse définit une approche pour la gestion des conflits entre les applications de la maison dans une plateforme orientée services. Cette approche est optimiste et gère les conflits à l’exécution via un modèle causal de l’environnement, nommé contexte. Cette approche s’articule principalement autour de trois axes : le premier axe se concentre sur la description des conflits dans un contexte modélisé sous la forme de composants orientés services ; le deuxième axe consiste en l’extension du modèle de programmation d’applications ubiquitaires par des mécanismes de verrouillage/déverrouillage ; le troisième axe se penche sur la gestion des conflits en adoptant une approche à trois phases (prévention, détection et résolution). La solution proposée a été développée sous la forme de composants iPOJO et intégrée dans la plateforme ubiquitaire domotique iCasa. / The important emergence of dynamic and heterogeneous devices paves the way for the emergence of a new type of ubiquitous applications that has the ability to interact with sensors and actuators that penetrate our environments in a transparent way. In this research, we are particularly interested in the ubiquitous applications deployed in smart homes. Service-oriented platforms are widely used to run these applications. These platforms present the ability to dynamically provide services, according to the applications needs. These services can be simple, representing a device, or more abstract, providing higher level functions. Ubiquitous applications share these services to achieve different and sometimes conflicting goals. These conflicts need to be managed in order to keep the houses in consistent states. This thesis defines an approach for managing conflicts between home applications in a service-oriented platform. This approach is optimistic and addresses conflicts at runtime via a causal model of the environment, called context. This approach focuses mainly on three axes: the first axis focuses on the description of conflicts in a context modeled as service-oriented components; the second axis consist in the extension of the programming model of ubiquitous applications by locking/unlocking mechanisms; the third axis focuses on conflict management using a three-phase approach (prevention, detection and resolution). The proposed solution was developed as iPOJO components and integrated into the ubiquitous platform iCasa.

This is a qualitative, interpretive research study of how six senior citizens’ aged 70-85 describe their use and need of Smart home technology for their independent living and welfare. Data was collected through technology probing and interviews. Data analysis was done using a thematic method. The research was underpinned by the theoretical model Unified Theory of Acceptance and Use of Technology (UTAUT2). The research setting was senior citizens’ living in Care housing rented out by the municipality owned company. The findings show that technology is perceived by the senior citizens’ to be something must be taught and takes effort. Senior housing need to be better designed for its senior tenants. It was also found that if technology is used to ensure safety, fall detection for instance, trust and sufficient support is crucial. The findings suggest it could be difficult to assess your own need and to realize when assistance technology is needed. It also found that the use of technology was perceived as being individual and as something that cannot be treated collectively. It was suggested that health professionals do have some influence on the senior citizen and their use of technology. The findings of this study was compared to previous studies and how it relates to the determinants and moderating factors suggested by the theoretical model UTAUT2.

Smart Grid research is growing around the world due to the need to replace the ageing old electricity grid with an intelligent, reliable electricity network. The smart grid aims at creating a reliable power distribution and efficient power usage in homes. One of the key issues focused in this project is providing real time energy feedback to users, which is minimal or non-existent in the current grid system. This thesis investigates about using smart TVs to provide real time energy feedback in homes. Since its introduction in 2009 smart TVs are growing in popularity in European market. To provide real time energy feedback on smart TVs three features are identified Smart TV application, ambilighting and push notification. The Human-centered design process is used for designing the Smart TV interface system using the identified features. A literature study is conducted to gather the user requirements for the smart TV interface. The information gathered during the study is used for the design and implementation of the interface prototype. As an example platform the Philips smart TV 2013 is chosen to demonstrate the various features that can be used to provide energy feedback. The usability of the Smart TV interface is evaluated with users and the results are recorded. The smart TV application, ambient lighting and push notification system in Smart TVs is demonstrated for providing real-time energy feedback. The interface is evaluated with users and results are discussed. The result suggests that Smart TVs can serve as an informational display in homes. The Smart TV interface should be interlinked with Smart Phone and Tablet applications to be effective, further the users prefer the Smart Phone over the Smart TV application to control the household devices. / The thesis work evaluates the potential of using smart TVs to provide real time energy feedback in homes. The results of the thesis showed that smart phone are the primary interaction medium suitable for home environment while smart TVs can serve as an informative medium to provide ambient feedback in homes. / praveenjelish@ymail.com +46727700788

The maturity of smart home technologies and wireless capabilities, increased accessibility through mass-market availability of internet is making the feasibility of the smart home more realistic. The added incentives to better control utilities and communications to make lives more sustainable, has also driven the growth in the market. This thesis investigates the advantages of the smart home both for the environment and user. Outlining opportunities for business by finding gaps in the market is to better synthesise products and services to improve the user experience. A literature review, market research and ethnographic research was undertaken to understand the current state of the smart home industry and identify the main stakeholders that impact the user. A customer journey map was created to visualise the user process and highlighted problem areas. A survey showed users were most concerned about quality, functions and saving energy and money. The survey perceptions on interactions with technology also shed light into the necessity for robust and reliable technology and adaptable products and services. The final outcome is a prototype model to improve user experience, including stakeholder influence, user needs and the connections between different stakeholders from pre-sale, sale and after-sale.

隨著智慧家庭技術及物聯網的裝置大幅度地成長，智慧家庭的網路流量亦隨之升高。當大量成長的智慧家庭流量造成網路壅塞時，可能使緊急服務的警告機制失效，或是造成某些應用服務品質低劣而不堪使用。這些問題恐阻礙智慧家庭未來的發展性。 為改善上述問題，本文提出創新的物聯網智慧家庭頻寬配置管理架構。以ISP業者管理數以千計的物聯網智慧家庭為情境，針對智慧家庭多樣化的應用服務，利用具前瞻性的軟體定義網路，提供ISP業者對智慧家庭外部網路頻寬做最佳化的配置。 本研究依改良後的3GPP LTE QoS Class Identifier (QCI)，分類智慧家庭的服務，並考量服務的優先權及延遲程度，提出BASH演算法。透過本研究，ISP業者能依定義好的服務類別，將匯集後的智慧家庭服務流量藉由配置訊務流(traffic flow)的權重，計算出不同服務的最佳頻寬分配量，達到提升QoS及使用者QoE的目的。 為確認本論文所提出之方法的有效性，實驗設計是利用Linux伺服器架設OpenvSwitch、Ryu控制器及Mininet模擬器，建構SDN網路環境。實驗結果顯示，本研究所提出的BASH與ISP所用的傳統頻寬分配方法相比，能有效提高30%的throughput，降低159%的delay time及967%的 jitter time。 / With the increasing number of IoT (Internet of Things) devices and advance of smart home technology, the network traffic of smart home is also raising rapidly. When network congestion occurs due to massive traffic, some emergent alert mechanisms might become invalid or cause some application services performance degraded. All kinds of these will dramatically hamper the future development of smart homes. In order to resolve these problems, we propose an innovative bandwidth allocation smart home management framework for IoT enabled smart homes. The application scope of this research assumes a scenario that an ISP (Internet Service Provider) should support thousands of IoT enabled smart homes for a variety of services. The proposed bandwidth allocation framework is based on the promising software defined networking (SDN) architecture and is responsible for optimizing bandwidth allocation on external Internet traffic. We modify the 3GPP LTE QoS Class Identifier (QCI) to adaptive to the services suitable for smart homes. The proposed bandwidth allocation smart home (BASH) algorithm considers service priority and delay at the same time. With this framework, ISP is able to optimize bandwidth allocation by aggregating thousands of classified services of smart homes and thus effectively enhance Quality of Service (QoS) and user experience (QoE). In order to verify the proposed methods, we implement a SDN environment by using Linux Ubuntu servers with Mininet, Open vSwitch and Ryu controller. The experiment results show that BASH outperforms ISP traditional method in increasing the throughput by 30%, reducing delay and jitter by 159% and 967%, respectively.

Cette thèse propose un concept d'optimisation de la consommation d'énergie dans les maisons intelligentes basées sur la gestion de la demande qui repose sur l'utilisation de système d e gestion de l'énergie à la maison (HEMS) qui est en mesure de contrôler les appareils ménagers. L'avantage de ce concept est l'optimisation de la consommation d'énergie sans réduire les utilisateurs vivant confort. Un mécanisme adaptatif pour une croissance intelligente système de gestion de l'énergie de la maison qui a composé des algorithmes qui régissent l'utilisation des différents types de charges par ordre de priorité pré-sélectionné dans la maison intelligente est proposé. En outre, une méthode pourl'optimisation de la puissance générée à partir d'un hybride de systèmes d'énergie renouvelables (HRES) afin d'obtenir la demande de charge. particules technique d'optimisation essaim (PSO) est utilisé comme l'optimisation algorithme de recherche en raison de ses avantages par rapport à d'autres techniques pour réduire le coût moyen actualisé de l'énergie (LCE) avec une plage acceptable de la production en tenant compte des pertes entre la production et la demande. Le problème est défini et la fonction objective est introduite en tenant compte des valeurs de remise en forme de sensibilité dans le processus d’essaim de particules. La structure de l'algorithme a été construite en utilisant un logiciel MATLAB et Arduino 1.0.5 du logiciel.Ce travail atteint le but de réduire la charge de l'électricité et la coupure du rapport pic-moyenne (PAR). / This thesis proposes a concept of power consumption optimization in smart homes based on demand side management that reposes on using Home Energy Management System (HEMS) that is able to control home appliances. The advantage of the concept is optimizing power consumption without reducing the users living comfort. An adaptive mechanism for smart home energy management system which composed of algorithms that govern the use of different types of loads in order of pre-selected priority in smart home is proposed. In addition a method for the optimization of the power generated from a Hybrid Renewable Energy Systems (HRES) in order to achieve the load demand. Particle Swarm Optimization Technique (PSO) is used as optimization searching algorithm due to its advantages over other techniques for reducing the Levelized Cost of Energy (LCE) with an acceptable range of the production taking into consideration the losses between production and demand sides. The problem is defined and the objective function is introduced taking into consideration fitness values sensitivity in particle swarm process. The algorithm structure was built using MATLAB software and Arduino 1.0.5 Software. This work achieves the purpose of reducing electricity expense and clipping the Peak-toAverage Ratio (PAR). The experimental setup for the smart meter implementing HEMS is built relying on the Arduino Mega 2560 board as a main controller and a web application of URL http://www.smarthome-em.com to interface with the proposed smart meter using the Arduino WIFI Shield.

智慧家庭的概念早在半世紀前就被提出,但至今仍被認為是豪宅的配備, 到目前為止也沒有「智慧家庭產業」出現。解決智慧家庭系統的維運議題, 是智慧家庭技術普及化,進而形成產業的重要前提。Broadband Forum 所提 出的 CWMP 是目前較普及與成熟的維運技術,但 CWMP 在軟體架構與軟 體設計上仍具有改善空間,包含用企業級技術來定義嵌入裝置規範,導致 效能與擴充性不佳;領域模型設計不良,開發人員難以學習與理解,以及 Web 回呼(Callback)機制未臻完善,無法彈性應對各種裝置回呼狀況。針對 這些議題,本論文提出以資源導向架構風格來改良 CWMP,並針對現行各 種 Web Callback 機制做實驗與分析,評估適合 CWMP 應用場域中的 Callback 機制,基於上述機制,建構基於資源導向架構的 CWMP 智慧家庭服務維運 平台,並透過實驗與實作應用情境,並驗證其功能完備性、效能及實務上 之可行性。 / The vision of smart home has been depicted for over a half-century. Nevertheless, Smart Home technologies are still not widely deployed in most people’s living spaces. The main reason is that operations management technologies for smart home such as remote deployment, monitoring, and maintenance are not well studied and only a few attempts have so far been made toward this aspect. CWMP, proposed by Broadband Forum, is a promising standard for realizing a Smart Home operations management platform. Several design issues, namely, poor performance and scalability, poor domain model design and inappropriate web callback architecture, have been identified. The objective of this thesis is, therefore, to deal with the issues mentioned above by suggesting a set of new ways to design CWMP functionalities. The overall approach is based on the RESTful architectural style. Finally, the proposed designs are realized as an operations management platform prototype. Validations and experiments are performed to verify the effectiveness of the proposed approach.

Increasingly, software needs to dynamically adapt its behavior at run-time in response to changing conditions in the supporting computing infrastructure and in the surrounding physical environment. Adaptability is emerging as a necessary underlying capability, particularly for highly dynamic systems such as context-aware or ubiquitous systems. By automating tasks such as installation, adaptation, or healing, Autonomic Computing envisions computing environments that evolve without the need for human intervention. Even though there is a fair amount of work on architectures and their theoretical design, Autonomic Computing was criticised as being a \hype topic" because very little of it has been implemented fully. Furthermore, given that the autonomic system must change states at runtime and that some of those states may emerge and are much less deterministic, there is a great challenge to provide new guidelines, techniques and tools to help autonomic system development. This thesis shows that building up on the central ideas of Model Driven Development (Models as rst-order citizens) and Software Product Lines (Variability Management) can play a signi cant role as we move towards implementing the key self-management properties associated with autonomic computing. The presented approach encompass systems that are capable of modifying their own behavior with respect to changes in their operating environment, by using variability models as if they were the policies that drive the system's autonomic recon guration at runtime. Under a set of recon guration commands, the components that make up the architecture dynamically cooperate to change the con guration of the architecture to a new con guration. This work also provides the implementation of a Model-Based Recon guration Engine (MoRE) to blend the above ideas. Given a context event, MoRE queries the variability models to determine how the system should evolve, and then it provides the mechanisms for modifying the system. / Cetina Englada, C. (2010). Achieving Autonomic Computing through the Use of Variability Models at Run-time [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/7484 / Palancia

<p>This paper aims to present a novel approach to real-time indoor temperature forecasting to meet energy consumption constraints in buildings, utilizing computing resources available at the edge of a network, close to data sources. This work was inspired by the irreversible effects of global warming accelerated by greenhouse gas emissions from burning fossil fuels. As much as human activities have heavy impacts on global energy use, it is of utmost importance to reduce the amount of energy consumed in every possible scenario where humans are involved. According to the US Environmental Protection Agency (EPA), one of the biggest greenhouse gas sources is commercial and residential buildings, which took up 13 percent of 2019 greenhouse gas emissions in the United States. In this context, it is assumed that information of the building environment such as indoor temperature and indoor humidity, and predictions based on the information can contribute to more accurate and efficient regulation of indoor heating and cooling systems. When it comes to indoor temperature, distributed IoT devices in buildings can enable more accurate temperature forecasting and eventually help to build administrators in regulating the temperature in an energy-efficient way, but without damaging the indoor environment quality. While the IoT technology shows potential as a complement to HVAC control systems, the majority of existing IoT systems integrate a remote cloud to transfer and process all data from IoT sensors. Instead, the proposed IoT system incorporates the concept of edge computing by utilizing small computer power in close proximity to sensors where the data are generated, to overcome problems of the traditional cloud-centric IoT architecture. In addition, as the microcontroller at the edge supports computing, the machine learning-based prediction of indoor temperature is performed on the microcomputer and transferred to the cloud for further processing. The machine learning algorithm used for prediction, ANN (Artificial Neural Network) is evaluated based on error metrics and compared with simple prediction models.</p>