Do residents find value in smart home functions? How should these functions be designed to offer user benefit? These were the governing questions of this study that involved nearly 200 families in three different housing projects during five years of occupancy. The housing units were equipped with advanced smart homes solutions, electronic and digital devices to control them, and a set of functions to increase comfort, safety and security in the homes. The evaluations of the residents' use and benefits were accomplished in two different phases, i) evaluation of the user expectations' before and direct after occupancy and ii) long-term experiences after 3-5 years. A third phase of the study represents a radical shift in view. Issues related to innovation and organisation of service delivery were brought into the fore. The research is founded on the multiple case-based methodology. Literature studies were effected. Data acquisition was based on interviews and questionnaires. Theoretical models from different research areas were used in order to analyse observations and to arrive to grounded conclusions. Important conclusions include the fact that smart home functionalities must be developed as close as possible out of the users' genuine needs as experienced in their daily lives. Failure to attain accessibility to a certain function will cause disappointment and will be forsaken. To gain and over time preserve the user's trust in smart home functions or in a system as a whole is conclusive for the their use. Another conclusion is that a viable business model for smart homes must include the occupancy phase. Surveillance and maintenance of smart home systems must be secured over time. It is argued that the failure of establishing a viable long-term service to homes to the benefit to the user depends highly on the market’s ability to supply the homes with appropriate services over time. Possible ways to mediate revealed shortcomings are outlined and what role and responsibility the housing construction industry has to consider with the further development of smart homes. / QC 20100809

This research proposes Stress-Lysis, iLog and SaYoPillow to automatically detect and monitor the stress levels of a person. To self manage psychological stress in the framework of smart healthcare, a deep learning based novel system (Stress-Lysis) is proposed in this dissertation. The learning system is trained such that it monitors stress levels in a person through human body temperature, rate of motion and sweat during physical activity. The proposed deep learning system has been trained with a total of 26,000 samples per dataset and demonstrates accuracy as high as 99.7%. The collected data are transmitted and stored in the cloud, which can help in real time monitoring of a person's stress levels, thereby reducing the risk of death and expensive treatments. The proposed system has the ability to produce results with an overall accuracy of 98.3% to 99.7%, is simple to implement and its cost is moderate. Chronic stress, uncontrolled or unmonitored food consumption, and obesity are intricately connected, even involving certain neurological adaptations. In iLog we propose a system which can not only monitor but also create awareness for the user of how much food is too much. iLog provides information on the emotional state of a person along with the classification of eating behaviors to Normal-Eating or Stress-Eating. This research proposes a deep learning model for edge computing platforms which can automatically detect, classify and quantify the objects in the plate of the user. Three different paradigms where the idea of iLog can be performed are explored in this research. Two different edge platforms have been implemented in iLog. The platforms include mobile, as it is widely used, and a single board computer which can easily be a part of network for executing experiments, with iLog Glasses being the main wearable. The iLog model has produced an overall accuracy of 98% with an average precision of 85.8%. Smart-Yoga Pillow (SaYoPillow) is envisioned as a device that may help in recognizing the importance of a good quality sleep to alleviate stress while establishing a measurable relationship between stress and sleeping habits. A system that analyzes the sleeping habits by continuously monitoring the physiological changes that occur during rapid eye movement (REM) and non-rapid eye movement (NREM) stages of sleep is proposed in the current work. In addition to the physiological parameter changes, factors such as sleep duration, snoring range, eye movement, and limb movements are also monitored. The SaYoPillow system is processed at the edge level with the storage being at the cloud. SaYoPillow has 96% accuracy which is close to other existing research works. This research can not only help in keeping an individual self-aware by providing immediate feedback to change the lifestyle of the person in order to lead a healthier life, but can also play a significant role in the state-of-the-art by allowing computing on the edge devices.

Submitted by Patrícia Cerveira (pcerveira1@gmail.com) on 2017-06-14T19:17:38Z No. of bitstreams: 1 Tiago Bornia de Castro Dissertação.pdf: 4966184 bytes, checksum: 7e49563b573266804e94e53d4b7db605 (MD5) / Approved for entry into archive by Biblioteca da Escola de Engenharia (bee@ndc.uff.br) on 2017-06-29T13:48:38Z (GMT) No. of bitstreams: 1 Tiago Bornia de Castro Dissertação.pdf: 4966184 bytes, checksum: 7e49563b573266804e94e53d4b7db605 (MD5) / Made available in DSpace on 2017-06-29T13:48:38Z (GMT). No. of bitstreams: 1 Tiago Bornia de Castro Dissertação.pdf: 4966184 bytes, checksum: 7e49563b573266804e94e53d4b7db605 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Smart grids surgem como a evolução da rede elétrica. Sua proposta é incorporar redes de telecomunicações à rede elétrica, possibilitando o monitoramento em tempo real, rápida detecção/tratamento de falhas, maior facilidade de integração de fontes renováveis entre outros serviços. Porém sua implantação afeta a manutenção do equilíbrio entre a produção e o consumo de energia, que é essencial para a estabilidade da rede elétrica. Com o aumento de fontes renováveis, a predição da energia produzida torna-se mais difícil, devido à natureza intermitente dessas fontes. Fontes de energia renováveis dependem de fatores ambientais que tornam a previsão de geração de energia mais complexa e menos precisa. Portanto, existe uma mudança de paradigma com a modernização de rede de energia: na rede tradicional, a produção adapta-se à demanda, mas nas smart grids, a demanda adapta-se à produção e faz com que o consumo de usuário seja mais eficiente. Os programas de Gerenciamento pelo Lado da Demanda (GLD) surgem como uma solução para ajustar o consumo do usuário à geração. GLD são ações ou decisões tomadas pela empresa de energia para alterar ou modelar o padrão de consumo do usuário. A proposta deste trabalho é a criação de mecanismos de gerenciamento pelo lado da demanda direcionado para o usuário residencial no Brasil diante da implantação das smart grids. Foi criado o DEFLEGER-ECO, mecanismo de economia de energia elétrica usando tarifa branca, nova forma de tarifação que entrará em vigor a partir de 2018, e DEFLEGER-EMER, mecanismo emergencial voltado a redução de demanda durante eventos emergenciais. Devido a inexistência de uma ferramenta para a validação dos mecanismos, também foi desenvolvida uma ferramenta de simulação que é fruto da integração de dois simuladores, o NS-3 e o EnergyPlus. Os modelos foram simulados em quatro perfis de residências com a finalidade de avaliar seus desempenhos. Os mecanismos funcionaram conforme o esperado e uma de das principais contribuições é a possibilidade de atender diversos perfis de usuários residenciais. / Smart grids arise as the power grid evolution. The key idea is to incorporate telecommunications networks to the power grid, allowing real-time monitoring, fast detection/treatment failures, easier integration of renewable sources, and other services. Nevertheless the implementation of smart grids affects the maintenance of the balance between energy production and consumption, which is the essential for the power grid stability. With the increase in the number of renewable sources, prediction of energy produced becomes more difficult due to the intermittent nature of these sources. Renewable power sources depend on environmental factors that make power generation prediction more complex and less accurate. Therefore, there is a paradigm change with the grid modernization: in traditional grid energy, production adapts to the demand, but in smart grids, demand adapts to the production and makes user consumption more efficient. Demand Side Management (DSM) programs arise as one of the solutions to adjust user consumption to supply. DSM is an action or decision made by utility to alter and model user pattern of consumption. The purpose of this work is the creation of DSM mechanisms for Brazilian users. DEFLEGER-ECO was created, an electric energy saving mechanism using the white tariff, a new form of charging that will take effect from 2018, and DEFLEGEREMER, an emergency mechanism aimed at reducing demand during emergency events. Due to the lack of a tool for the validation of the mechanisms, a simulation tool was also developed, which is the result of the integration of two simulators, NS-3 and EnergyPlus. The models were simulated in four residential profiles in order to evaluate their performance. The mechanisms worked as expected and one of the main contributions is the possibility to serve several profiles of residential users.

隨著物聯網這個萬物連網的概念順勢推動智慧家庭在市場裡蓬勃發展，可預期未來ISP(Internet Service Provider)業者勢必面臨大量智慧家庭中各種不同應用服務互相競爭頻寬資源的情況，甚至遇到網路滿載壅塞時造成應用服務不堪使用的情形。 為改善上述問題，本文以ISP業者管理智慧家庭中眾多的物聯網設備為情境，透過軟體定義網路 (Software Defined Network，SDN)進行頻寬排程配置，排程演算法以可兼顧公平性(fairness)、時間延遲(delay)及應用服務優先權(service priority)的A-MLWDF (Adaptive Modified Largest Weighted Delay First) [7]演算法，確保優先配置頻寬給智慧家庭中優先權較高、時效較為急迫的流量，以降低應用服務的延遲來提升智慧家庭網路之服務品質(Quality of Service，QoS)。 本研究透過OMNet++模擬器建構SDN環境與傳統環境中有眾多物聯網設備之智慧家庭。家中物聯網設備包含M2M (Machine to Machine)和非M2M(non Machine to Machine)裝置，以提供各種智慧家庭應用服務。我們透過SDN架構進行頻寬配置，達到集中式管控家中的頻寬資源，其中排程演算法包括PF、MLWDF、A-MLWDF。實驗結果顯示，以上排程演算法雖然於SDN環境下在公平性與抖動率表現並不顯著，公平性約改善1.6%及抖動率約降低1%左右，但在產能與延遲方面表現較為顯著，能有效提高產能約52%，及降低延遲約 52%。 / With the concept of IoT (Internet of Things) spread rapidly, it is the opportunity to promote smart homes in the expanding market. We can see that the future ISP (Internet Service Provider) has to face a large number of smart homes having bandwidth competition in a variety of different applications and causing application services unavailable due to network congestion.     In order to resolve the above problems, we propose that each ISP (Internet Service Provider) has to manage a large number of IoT devices in a smart home to performs bandwidth scheduling through Software Defined Network (SDN). We choose to use A-MLWDF scheduling algorithm (Adaptive Modified Largest Weighted Delay First) [7] which considers fairness, delay and service priority. A-MLWDF is able to ensure services of higher priority and emergent traffic be allocated bandwidth earlier and greatly reduce delay and thus effectively enhance Quality of Service (QoS) of smart homes.     In this research, we implement a SDN environment by using OMNet++ to simulate the bandwidth competition among smart homes with IoT devices. The IoT devices consists of M2M (Machine to Machine) and non-M2M (non Machine to Machine) devices which offer a variety of intelligent home application services. We configure the bandwidth allocation under SDN control. The scheduling algorithms include PF, MLWDF and A-MLWDF. When the network traffic is congested, SDN can significantly increase throughput and reduce latency compared to traditional network management. The experimental results show that above scheduling algorithms using SDN environment having no significant performance improvements in fairness and jitter. The fairness increases around 1.6% and the jitter reduces around 1%. However, it shows significant improvement on throughout and delay. The throughput increases around 52% and the delay reduces around 52%.

Summary This thesis consists of an ethnographic investigation of five Swedish household's everyday life in their kitchens during the spring 2001 and an analysis of this context, which for certain can be apt for the development of the smart home services of today. Finally some future opportunities on how to systematise ethnography for design use also are drawn. The focus of investigation of this thesis is to find out what actual happens in some situations in ordinary kitchens. Specific interest is showed for the articulation work, while most smart appliances of today supports only goal-oriented activity, hence evolved from the ground of the home PC interaction. The ethnographical investigation is focused on three specific events in a house hold which all are assumed to take place in the families kitchen. The events are: 1) When a family plans and books an amusement activity. 2) When a family plans it's shopping. 3) When a person solves a goal oriented task, for example details about cooking a meal. / Jesper Brolin Gyllenborgsgatan 11 Stockholm jesperbrolin@mac.com, mda98jbr@student.bth.se

This thesis-project aims to research the possibilities of new wireless technologies in general control-situations. We have studied different existing control protocols, and developed a new protocol focusing on textbased menus. Our protocol is scaleable, easy to implement, and platform- and media independent. Since our protocol supports Plug and Play with dynamically allocated id’s, it does not require a unique id in the hardware. To test the protocol we have developed a prototype system, consisting of a mobile phone connected to a server, which in turn is connected to two slave units, controlling peripheral equipment on 220 Volt. The phone is an Ericsson T28, equipped with a Bluetooth unit. The server is runningthe real-time OS eCos on an ARM 7TDMI Evaluation Kit, and the slave units consist of two developer boards equipped with PIC-processors. Communication between the phone and the server is done over Bluetooth. However we did not find a working Bluetooth protocol stack ported to eCos, so a serial cable was used instead. Communication between the server and the slaves is done over a RS-485 serial network which simulates the traffic over a radio-network. The results show that our protocol is working, and that our system would be easy to implement, cheap to produce and very scalable.

This thesis combines two current trends - the Internet of Things and Urban Agriculture. It describes technologies for wireless sensors communication in smart homes and hardware for their implementation. Based on these technologies smart hardware for automatic plants growing is implemented and connected to cloud with remote access via iOS mobile application.

This thesis focuses on the Internet of Things and some of the most important problems it faces today. Among these are the overdependence on the Cloud and lack of autonomy, poor security and privacy, complicated initialization and power consumption. The work aims to implement a complex IoT solution that solves the discussed problems. The project is part of a collaboration with NXP Semicondutors and will be used to showcase the company's technologies.

This thesis summarizes the subject of intelligent homes and describes commonly used standards and commercial solutions on the market. The thesis covers the design of a low-cost and easy to use smart home system which can be managed over the internet, uses a genetic algorithm for heating regulation optimization and its central computing unit is a low-cost, embedded device with low power consumption. The functionality of the system is verified on a practical application of heating regulation in a house. The efficacy of the system for energy savings is shown; it is based on measured data statistics.

The theme of this thesis is the design of peripheral devices of a smart home SmartFlat and the design of communication interface for this system. Designed units are the humidity and temperature measuring unit, the unit of security and the smart socket unit for remote control, power measurement and power control. All units are designed for wired communicaton and also for wireless communication with control unit.