In order to assure a real-time medical care for the elders who live alone or have a chronic disease and also to improve the responsiveness and quality of the community hospital, a community health service architecture...In order to assure a real-time medical care for the elders who live alone or have a chronic disease and also to improve the responsiveness and quality of the community hospital, a community health service architecture was designed according to the Internet of Things on Health-Care. The users' body physiological and sports information can be collected intelligently by the health sensors at home and then the health information can be transmitted to the community health-care center through networks after information processing. The community doctors can provide a medical service on kinds of video, voice or email according to the users' process notes, test data and symptoms. Of course, doctors also can communicate and share their opinions with other specialist who is online. The key technology of this system is Internet of Things on Health-Care, which system can get users' health information actively and then make out intelligent decisions promptly and finally provide a more personal health service.展开更多
This work focuses on the problem of monitoring the coastline, which in Portugal’s case means monitoring 3007 kilometers, including 1793 maritime borders with the Atlantic Ocean to the south and west. The human burden...This work focuses on the problem of monitoring the coastline, which in Portugal’s case means monitoring 3007 kilometers, including 1793 maritime borders with the Atlantic Ocean to the south and west. The human burden on the coast becomes a problem, both because erosion makes the cliffs unstable and because pollution increases, making the fragile dune ecosystem difficult to preserve. It is becoming necessary to increase the control of access to beaches, even if it is not a popular measure for internal and external tourism. The methodology described can also be used to monitor maritime borders. The use of images acquired in the infrared range guarantees active surveillance both day and night, the main objective being to mimic the infrared cameras already installed in some critical areas along the coastline. Using a series of infrared photographs taken at low angles with a modified camera and appropriate filter, a recent deep learning algorithm with the right training can simultaneously detect and count whole people at close range and people almost completely submerged in the water, including partially visible targets, achieving a performance with F1 score of 0.945, with 97% of targets correctly identified. This implementation is possible with ordinary laptop computers and could contribute to more frequent and more extensive coverage in beach/border surveillance, using infrared cameras at regular intervals. It can be partially automated to send alerts to the authorities and/or the nearest lifeguards, thus increasing monitoring without relying on human resources.展开更多
文摘In order to assure a real-time medical care for the elders who live alone or have a chronic disease and also to improve the responsiveness and quality of the community hospital, a community health service architecture was designed according to the Internet of Things on Health-Care. The users' body physiological and sports information can be collected intelligently by the health sensors at home and then the health information can be transmitted to the community health-care center through networks after information processing. The community doctors can provide a medical service on kinds of video, voice or email according to the users' process notes, test data and symptoms. Of course, doctors also can communicate and share their opinions with other specialist who is online. The key technology of this system is Internet of Things on Health-Care, which system can get users' health information actively and then make out intelligent decisions promptly and finally provide a more personal health service.
文摘This work focuses on the problem of monitoring the coastline, which in Portugal’s case means monitoring 3007 kilometers, including 1793 maritime borders with the Atlantic Ocean to the south and west. The human burden on the coast becomes a problem, both because erosion makes the cliffs unstable and because pollution increases, making the fragile dune ecosystem difficult to preserve. It is becoming necessary to increase the control of access to beaches, even if it is not a popular measure for internal and external tourism. The methodology described can also be used to monitor maritime borders. The use of images acquired in the infrared range guarantees active surveillance both day and night, the main objective being to mimic the infrared cameras already installed in some critical areas along the coastline. Using a series of infrared photographs taken at low angles with a modified camera and appropriate filter, a recent deep learning algorithm with the right training can simultaneously detect and count whole people at close range and people almost completely submerged in the water, including partially visible targets, achieving a performance with F1 score of 0.945, with 97% of targets correctly identified. This implementation is possible with ordinary laptop computers and could contribute to more frequent and more extensive coverage in beach/border surveillance, using infrared cameras at regular intervals. It can be partially automated to send alerts to the authorities and/or the nearest lifeguards, thus increasing monitoring without relying on human resources.
