Systems evolution in intelligent buildings

Kujuro, A.; Hiroto, Yasuda

doi:10.1109/35.237978

Cited by 19 publications

(3 citation statements)

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“…Then we define the following parameters: u i : results of events detection by individual modules or sensors, m: number of points indicating that the event has occurred n: number of points indicating that the event has not occurred m 1i : number of points for which u i = +1 and H 1 m 0i : number of points for which u i = 0 and H 0 n 1i : number of points for which u i = +1 and H 0 n 0i : number of points for which u i = 0 and H 1 Because the adaptive fusion method is a digital assessment method, we can derive the following equations for evaluation: (1) If the module/sensor signal is reliable, then the weight change is (set Δm 1i = 1, Δm 0i = 1).…”

Section: Adaptive Fusion Methodsmentioning

confidence: 99%

Fusion Algorithm Based Security System with Multiple Sensors

2017

Sensors and Materials

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People seek a comfortable and safe living environment, but accidents such as home invasions, gas leaks, and fire often occur in our environment. Thus, a security system for disaster prevention and detection is very important. However, current common security systems are either too simple to function or too complicated to be installed and used. Hence, in this study, we developed a security system with a multi-agent architecture, which has multiple sensors and multiple communication interfaces. In the event of a disaster, this system can not only provide early warning, but also safely and quickly guide people to leave the scene of the accident. Our security system is composed of a variety of modules with different functions. Multiple sensors may be connected on one module. Every module can operate independently. Multisensor fusion and adaptive fusion methods make the modules more accurate in detecting events. The modules communicate via Wi-Fi, Ethernet, RF, power line communication, or other interfaces. At least two communication interfaces are active between modules to form a group with multi-agent architecture. When an event occurs, each group communicates with the others to find a safe escape route and then guides people safely and quickly away from the scene of the accident via light or sound from each module. In addition, these modules can connect to a monitoring system through the communication interfaces. The monitoring system, operating on a computer or a handheld device, can confirm that an incident occurred using fuzzy analytic hierarchy process (fuzzy-AHP) by these data and establish accident models for earlier warning. These models can be transmitted to the modules making them more intelligent. Since each module developed in this paper has the function of network communication, it can be an Internet of Things (IoT) node, and the monitoring system can form a regional disaster prevention system.

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Section: Adaptive Fusion Methodsmentioning

confidence: 99%

Fusion Algorithm Based Security System with Multiple Sensors

2017

Sensors and Materials

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“…Azegami and Fujiyoshi [1] described a systematic approach to intelligent building design. Kujuro and Yasuda [2] discussed the systems evolution in intelligent buildings. The quality of building services can be enhanced by updated information processing and communications functions of building automation systems.…”

Section: Introductionmentioning

confidence: 99%

Team Mobile Robots Based Intelligent Security System

Chia¹,

Guo²,

Li³

et al. 2013

Appl. Math. Inf. Sci.

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Abstract:The article develops a team mobile robots based intelligent security system being applied in home automation. The detection modules of the system include active security modules and passive security modules. The control unit of all security modules (active security modules and passive security modules) is HOLTEK microchip. The paper focuses on the active security modules (mobile robots). Mobile robots are classified more and more teams according to the detection functions. Each team robot system includes many mobile robots to execute the same event detection. Each mobile robot has two variety interfaces, uses voice module to alarm users for event condition, and transmits the real-time event signals to the supervised computer and the other mobile robots via wireless RF interface. If the event occurs, the mobile robot can transmit the relation location (floor number) of the event to the supervised computer. The supervised computer decides the location of the event according the feedback signals from mobile robots, controls the other mobile robots moving to the event location, and recognizes the final decision output using Dempster-Shafter Evidence Theory. The belief value is over the threshold value and displays detection and decision output values on the monitor of the user interface. Finally, we present some experimental results using the team mobile robots for the fire detection and gas leakage detection on the experimental platform of the intelligent security system.

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“…A globalização, o desenvolvimento e a popularização de tecnologias de comunicação e de processamento de informações deram origem a uma sociedade onde a capacidade e a habilidade de acessar e processar informações em alta velocidade têm muitas vezes um papel mais significativo que a manufatura de bens. Tornou-se, então, necessária a consideração desta nova tecnologia no projeto e operação do edifício, o que levou a introdução de requisitos como flexibilidade, produtividade e segurança [Abramson, 1995;Kujuro & Yasuda, 1993].…”

Section: Definiçãounclassified

Abordagem híbrida para modelagem de sistemas de ar condicionado em edifícios inteligentes.

Villani¹

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Systems evolution in intelligent buildings

Cited by 19 publications

References 0 publications

Fusion Algorithm Based Security System with Multiple Sensors

Fusion Algorithm Based Security System with Multiple Sensors

Team Mobile Robots Based Intelligent Security System

Abordagem híbrida para modelagem de sistemas de ar condicionado em edifícios inteligentes.

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