Smart Home Platform Research Articles

최적의 실내 환경을 제공하기 위한 스마트 창호 플랫폼

본 논문은 방범과 쾌적한 실내 환경 유지를 위한 창호의 상태와 실내외 환경데이터를 수집 분석하여 원격관리하기 위한 스마트 창호시스템 플랫폼을 제안한다. 특히 보안 분야, 안전 분야, 가전기기 제어와 같은 홈서비스를 용이하게 하기 위한 스마트 창호 플랫폼과 스마트 홈 플랫폼 사이 표준 API를 제안한다. 제안된 플랫폼 기반으로 언제 어디에서나 방범 및 환기 등의 문제를 해결할 수 있는 원격 자동개폐 및 감시를 위한 유무선 통신인터페이스의 창호시스템 전용 게이트웨이를 개발하였다. 또한 모바일 환경에서 창호의 개폐 상태 감시 및 원격제어를 위한 웹과 앱 기반 사용자 인터페이스도 각각 개발하였다. This paper presents the smart system platform for remotely controlling the windows and doors system(WDS), which gathers and analyzes the state of WDS and the environmental data for preventing crimes and keeping a pleasant indoor. In particular, standard API between the smart WDS platform and the smart home platform has been presented to be easy to a home services, such as security, safety, and home appliance control. The private gateway of wire and wireless communication interfaces has been developed to remotely control and monitor the WDS for anytime and anyplace solving the crime prevention and ventilation problem. Web-and App-based user interface in order to detect the opening and shutting states and remotely control WDS have also been developed to support the mobile environment, respectively.

Adaptive software architecture based on confident HCI for the deployment of sensitive services in Smart Homes.

Smart spaces foster the development of natural and appropriate forms of human-computer interaction by taking advantage of home customization. The interaction potential of the Smart Home, which is a special type of smart space, is of particular interest in fields in which the acceptance of new technologies is limited and restrictive. The integration of smart home design patterns with sensitive solutions can increase user acceptance. In this paper, we present the main challenges that have been identified in the literature for the successful deployment of sensitive services (e.g., telemedicine and assistive services) in smart spaces and a software architecture that models the functionalities of a Smart Home platform that are required to maintain and support such sensitive services. This architecture emphasizes user interaction as a key concept to facilitate the acceptance of sensitive services by end-users and utilizes activity theory to support its innovative design. The application of activity theory to the architecture eases the handling of novel concepts, such as understanding of the system by patients at home or the affordability of assistive services. Finally, we provide a proof-of-concept implementation of the architecture and compare the results with other architectures from the literature.

Public health resources for smart-home scenario development

Scenarios are used as tools in the development of smart home platforms and middleware for aging-in-place. In order to be effective, a set of scenarios that address all required functionalities are ...

Public health resources for smart-home scenario development: A methodological approach

Scenarios are used as tools in the development of smart home platforms and middleware for aging-in-place. In order to be effective, a set of scenarios that address all required functionalities are needed. The health condition of the majority of an aging population has been described by medical tools, such as WHO's International Classification of Functioning, Disability and Health ICF and local health profiles. However, this has not yet been fully implemented in the development of smart-homes. In this study we develop a Public Health Methodology PHM in which we use public health resources for the generation of scenarios. Specific user characteristics are taken from the medical tools. Common daily user activities were supplied by research into common activities as practiced by Dutch end-users. A functional scenario is generated by combining the user characteristics and user activities with the product goal, the physical and non-physical environment, and the product to be developed. Using this method a set of 10 scenarios covered all requirements. The scenarios were used in virtual tests for the validation of smart-home platforms. PHM is a promising tool in the development of smart environments that are more easily adopted by aging populations.

A modular framework to enable rapid evaluation and exploration of energy management methods in smart home platforms

Numerous efforts focus on developing smart grid and smart home platforms to provide monitoring, management, and optimization solutions. In order to more effectively manage energy resources, a holistic view is needed; however the involved platforms are complex and require integration of a multitude of parameters such as the end-user behavior, underlying hardware components, environment, etc., many of which operate on varying time scale at various levels of detail. A general and modular framework is presented to enable designers to focus on modeling, simulating, analyzing, or optimizing specific sub-components without requiring a detailed implementation across all levels. We incorporate two case studies in which the proposed framework is utilized to help an end user evaluate platform configurations given an energy usage model, as well as integrate an energy optimization module to investigate rescheduling of appliance usage times in an effort to lower cost.

Assessing Smart-Home Platforms for Ambient Assisted Living (AAL)

Smart-home platforms support applications, services, and devices for Ambient Assisted Living (AAL). The developers of those platforms commonly focus on technological requirements only, without having a clear understanding of end-users such as older adults living independently. Moreover, since there are no functional testing methods for AAL platforms, the authors introduce a testing methodology for smart-home platforms and use it to test two platforms for their suitability: the universAAL platform that is based on an ontology model, and the ‘Universal Plug and Play' (UPnP) platform in combination with ‘Digital Home Compliant' (DHC) framework (first version), both using fixed terminology and descriptions. The authors first developed a comprehensive overview the support older people may need from a smart home. The authors then developed scenarios that cover many of those needs and used the scenarios as test cases in functional tests in a simulation environment. The results show that 4/5 of the smart-home applications in the AAL scenarios will not work without a platform extension. This demonstrates the importance of these extensions. Therefore, the use of an ontology model for platforms is advisable because of its quick and easy adaption to new devices and services, needed for the worldwide rollout of smart-homes for AAL.

Design and Implementation of the Smart Home Security Control System Based on the Android Platform

The paper introduces the development status of smart home platform based-on Android system and advantages of Smart home security system first.As to the families internal application environment,a low-cost,easy to expand,smart home security system for home applications based on the Android platform is designed through the analysis and research of smart home security system.It Shows the basic module structures of the software according to the design scheme,and each module performs the specific implementation.

A context management system for a cost-efficient smart home platform

Abstract. This paper presents an overview of state-of-the-art architectures for integrating wireless sensor and actuators networks into the Future Internet. Furthermore, we will address advantages and disadvantages of the different architectures. With respect to these criteria, we develop a new architecture overcoming these weaknesses. Our system, called Smart Home Context Management System, will be used for intelligent home utilities, appliances, and electronics and includes physical, logical as well as network context sources within one concept. It considers important aspects and requirements of modern context management systems for smart X applications: plug and play as well as plug and trust capabilities, scalability, extensibility, security, and adaptability. As such, it is able to control roller blinds, heating systems as well as learn, for example, the user's taste w.r.t. to home entertainment (music, videos, etc.). Moreover, Smart Grid applications and Ambient Assisted Living (AAL) functions are applicable. With respect to AAL, we included an Emergency Handling function. It assures that emergency calls (police, ambulance or fire department) are processed appropriately. Our concept is based on a centralized Context Broker architecture, enhanced by a distributed Context Broker system. The goal of this concept is to develop a simple, low-priced, multi-functional, and save architecture affordable for everybody. Individual components of the architecture are well tested. Implementation and testing of the architecture as a whole is in progress.

Contribution of smart-home platforms to user acceptance

Contribution of smart-home platforms to user acceptance

A model-driven approach for reusing tests in smart home systems

The continuous advances of ubiquitous and pervasive computing have contributed to the successful increase in smart home systems. However, usually these systems are developed at a lower abstraction level very tied to specific technologies. Model-driven approaches have emerged to tackle the design of these systems, improving their reusability and maintainability and decreasing their complexity. Nevertheless, the existing model-driven approaches to develop smart home systems do not cover the whole development process, and testing activities are still relegated to the final programming stages, reducing their reusability for different technologies or platforms. Some approaches have proposed the incorporation of testing activities into the model-driven process. However, the test models defined are very tied to the specific systems and they must be redesigned for every new system to test, reducing thus the reusability of the test behavior. In this setting, this paper presents a process to define reusable tests that may be automatically applied to different smart home systems. The process is integrated into a whole MDD approach that provides support for the modeling of smart home systems at two different abstraction levels, ensuring the reusability of tests also for different smart home platforms.