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Alarm Sensor

The Experts below are selected from a list of 126 Experts worldwide ranked by ideXlab platform

Mohsen Guizani – 1st expert on this subject based on the ideXlab platform

  • An NB-IoT-based smart trash can system for improved health in smart cities
    2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019
    Co-Authors: Yujie Zhu, Gangyong Jia, Guangjie Han, Zeren Zhou, Mohsen Guizani

    Abstract:

    The intelligent treatment of urban garbage is an important component of creating a smart city and also solves several problems associated with urban garbage. Many traditional garbage cans are widely distributed, resulting in a waste of human and material resources, untimely government. Therefore, in this paper, we propose an intelligent system based on edge computing and the narrow-band Internet of things (NB-IoT) for monitoring smart trash cans (STCs). The deployed intelligent garbage cans are distributed throughout the city and are equipped with a variety of Sensors, including a compression Sensor, a location Sensor, an infrared Sensor, and an Alarm Sensor. The data sent from the smart bins are preprocessed through edge nodes for data classification and priority transmission, which reduces the required network transmission bandwidth and the computational tasks at the centralized data center. The NB-IoT is a narrow-band communication technology with low power consumption, wide coverage, low cost, and large capacity. The experimental results show that the proposed STC system shows good system performance, and allows for intelligent management of garbage in smart cities.

  • IWCMC – An NB-IoT-based smart trash can system for improved health in smart cities
    2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019
    Co-Authors: Yujie Zhu, Gangyong Jia, Guangjie Han, Zeren Zhou, Mohsen Guizani

    Abstract:

    The intelligent treatment of urban garbage is an important component of creating a smart city and also solves several problems associated with urban garbage. Many traditional garbage cans are widely distributed, resulting in a waste of human and material resources, untimely government. Therefore, in this paper, we propose an intelligent system based on edge computing and the narrow-band Internet of things (NB-IoT) for monitoring smart trash cans (STCs). The deployed intelligent garbage cans are distributed throughout the city and are equipped with a variety of Sensors, including a compression Sensor, a location Sensor, an infrared Sensor, and an Alarm Sensor. The data sent from the smart bins are preprocessed through edge nodes for data classification and priority transmission, which reduces the required network transmission bandwidth and the computational tasks at the centralized data center. The NB-IoT is a narrow-band communication technology with low power consumption, wide coverage, low cost, and large capacity. The experimental results show that the proposed STC system shows good system performance, and allows for intelligent management of garbage in smart cities.

Yujie Zhu – 2nd expert on this subject based on the ideXlab platform

  • An NB-IoT-based smart trash can system for improved health in smart cities
    2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019
    Co-Authors: Yujie Zhu, Gangyong Jia, Guangjie Han, Zeren Zhou, Mohsen Guizani

    Abstract:

    The intelligent treatment of urban garbage is an important component of creating a smart city and also solves several problems associated with urban garbage. Many traditional garbage cans are widely distributed, resulting in a waste of human and material resources, untimely government. Therefore, in this paper, we propose an intelligent system based on edge computing and the narrow-band Internet of things (NB-IoT) for monitoring smart trash cans (STCs). The deployed intelligent garbage cans are distributed throughout the city and are equipped with a variety of Sensors, including a compression Sensor, a location Sensor, an infrared Sensor, and an Alarm Sensor. The data sent from the smart bins are preprocessed through edge nodes for data classification and priority transmission, which reduces the required network transmission bandwidth and the computational tasks at the centralized data center. The NB-IoT is a narrow-band communication technology with low power consumption, wide coverage, low cost, and large capacity. The experimental results show that the proposed STC system shows good system performance, and allows for intelligent management of garbage in smart cities.

  • IWCMC – An NB-IoT-based smart trash can system for improved health in smart cities
    2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019
    Co-Authors: Yujie Zhu, Gangyong Jia, Guangjie Han, Zeren Zhou, Mohsen Guizani

    Abstract:

    The intelligent treatment of urban garbage is an important component of creating a smart city and also solves several problems associated with urban garbage. Many traditional garbage cans are widely distributed, resulting in a waste of human and material resources, untimely government. Therefore, in this paper, we propose an intelligent system based on edge computing and the narrow-band Internet of things (NB-IoT) for monitoring smart trash cans (STCs). The deployed intelligent garbage cans are distributed throughout the city and are equipped with a variety of Sensors, including a compression Sensor, a location Sensor, an infrared Sensor, and an Alarm Sensor. The data sent from the smart bins are preprocessed through edge nodes for data classification and priority transmission, which reduces the required network transmission bandwidth and the computational tasks at the centralized data center. The NB-IoT is a narrow-band communication technology with low power consumption, wide coverage, low cost, and large capacity. The experimental results show that the proposed STC system shows good system performance, and allows for intelligent management of garbage in smart cities.

Reiner Salzer – 3rd expert on this subject based on the ideXlab platform

  • SPR imaging as a tool for detecting mucin – anti-mucin interaction. Outline of the development of a Sensor for near-patient testing for mucin
    Microchimica Acta, 2007
    Co-Authors: Alfonso Fernández-gonzález, Joanna Rychłowska, Rosana Badía, Reiner Salzer

    Abstract:

    Sensors able to provide ‘yes’/‘no’ answers have become of interest in recent years, especially in the fields of environmental research and healthcare. We describe a procedure based on surface plasmon resonance imaging (SPRI) to investigate the interaction between mucin and anti-mucin antibody, and we outline the development of an Alarm Sensor for the protein mucin, whose high concentration in saliva, blood or tissue is related to illnesses such as gingivitis, peridontitis or even cancer. Anti-mucin gastric antibodies are immobilised onto a gold surface. The immobilisation is evaluated for neat gold chips and for polymer-modified gold surfaces. We found that two different pHs are required, one for the immobilisation of the antibodies on gold (pH 5.5) and a different one for optimal interaction between the sample and the antibody layer (pH 7.0). Finally, we briefly demonstrate the application of the Sensor to real saliva samples, both mucin-less and mucin-containing, evaluating the potential of the Sensor to discriminate between healthy and ill.