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Sensor networks have been widely used in environment monitoring. Although there are some related works about water pollution monitoring and water pollution source localization using sensor networks, there are many problems which have not been solved so far. In this paper, the current research status on water pollution monitoring and water pollution source localization in sensor networks is illustrated...
This paper presented a dynamic gray model DGM(1,1) prediction implement in fall detection signal analysis. The fall detection is a popular research topic in health care fields that detected older adult fall situation real time. Tradition gray model GM(1,1) prediction methods have some disadvantages to predict signal state. The DGM(1,1) used dynamic analysis construct prediction model that tracked...
With the proliferation of wearable devices in the Internet-of-Things applications, designing highly power-efficient solutions for continuous operation of these technologies in life-critical settings emerges. We propose a novel ultra-low power framework for adaptive compressed sensing in activity recognition. The proposed design uses a coarse-grained activity recognition module to adaptively tune the...
Wearable medical systems are prevalent in recent years. Researchers have done enormous experiments and thousands of people have got benefits from them. Wearable medical systems involve many fields, and we mainly talk about blood glucose-insulin control in this paper. The general living standards continue to improve, even though the prevalence of diabetes is dramatically rising. Current methods for...
Unobtrusive in-home monitoring systems are gaining acceptability and are being deployed to enable relatives and caregivers to remotely monitor and provide timely care to their elderly loved ones or senior clients, respectively, who are living independently. Such systems can provide information about non-movement or inactivity of the elderly resident. As prolonged inactivity could mean potential danger,...
The paper proposed dynamic direct heart rate algorithms in wearable device. Green light LED to direct heart rate is very popular in recent years which used analogy signal feedback to microcontroller calculation. However, the different person physical signals are independent that including body fat, physical color, blood concentrations and oxygen concentration to influence observer data. Moreover,...
Every year, several ten thousand patients die on mechanical ventilation. This happens because the lungs can currently not be monitored adequately in real-time, and thus sub optimal ventilator settings can cause severe lung tissue damage. Electrical Impedance Tomography (EIT) produces a real-time image sequence of the breathing lungs. So far, no automatic method has been available to detect the physiological...
Developments in sensors, miniaturization of low-power microelectronics, and wireless networks are becoming a significant opportunity for improving the quality of health care services. Since the population is growing, the need for high quality and efficient healthcare, both at home and in hospital, is becoming more important. This paper presents the innovative wireless sensor network based Mobile Real-time...
As monitor plays a critical role in self-healing loop as the basis of self-healing, this paper proposes a comprehensive monitor model for self-healing systems on the basis of building model for general applications and organically combining monitor methods for different attributes of files. The monitor model can improve the performance of self-healing by reducing the grain size of monitor and recovery...
Grid is one of the currently and most actively developing concepts in the IT community, which nodes can dynamically enter and quit system. So, there are some real problems about nodes membership management in grid environments, especially, when considering asynchronous wide-area networks conditions, where messages may be delayed indefinitely and nodes may fail. Heartbeat detection is one of basic...
The paper addresses the problem of creating a comprehensive fault injection environment, which integrates and improves various simulation and supplementary functions. This is illustrated with experimental results.
IEEE P1900.4 is an emerging standard for optimized radio resource utilization where cognitive radio technologies are used for efficient spectrum utilization. In this paper, we design and implement a cognitive wireless network system based on open documents of IEEE P1900.4, and evaluate its performance using UDP streaming and HTTP download. Our experiments show interesting results that total network...
Monitoring seasonal changes in vegetation activity over wide areas is essential for many applications, Satellite remote sensing offers a systematic and objective means for detecting and monitoring ecological environment.A large amount of satellite remote sensing data at different spatial, spectral and temporal resolutions was proved to estimate Land cove change.One of the most widely used approaches...
The purpose of this project is to demonstrate that a comprehensive polygraphic audiovisual monitoring system supported by computerized heuristic algorithms can detect, analyze, predict and diagnose in a reproducible manner the onset and characteristics of apnea-bradycardia syndrome. The system will consist of three major components: an audiovisual polygraphic recording system, transducer banks, and...
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