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5G and Internet of things (IOT) develop rapidly, but the major applications of IOT-wireless sensor networks(WSNs) have numerous data, resulting in serious transmission load. In order to reduce the number of transmitted packets, this paper focuses on data aggregation for WSNs and proposes a novel event-based data aggregation mechanism using both principle component analysis(PCA) and support vector...
Monitoring system provides a clear insight into the state and performance of service components in cloud computing platforms. It collects metrics from dispersed sensors and stores them in databases for show and future query. To choose the most suitable database for a monitoring system is complex, since the performance requirement on cloud monitoring system in different data centers differs widely...
This paper presents a novel multi-sensor-based robot localization framework inspired by human coarse-to-fine recognition mechanism to realize fast and robust localization in the process of robot navigation. This localization framework consists of two parts: coarse place recognition and accurate location estimation. The coarse place recognition is realized using an onboard camera, whereas an image...
Mobile healthcare application development is now facing more challenges than before. How to improve the development speed is an important issue in this area. In this paper, we provide a framework to help developers build applications quickly and easily. Our framework has two features: 1) proposing a questionnaire-based healthcare framework to provide good extensibility for validating user input, judging...
We are interested in tracking human postures by deploying accelerometers on a human body. One fundamental issue in such scenarios is how to calculate the gravity, no matter when human body parts are moving or not. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity on that rigid part. However, how to find...
This paper introduced the development of a prototype wearable respiration biofeedback platform and made a preliminary evaluation of its effects on cardiovascular system. The biofeedback platform consisted of three parts: a shirt with multiple wearable sensors embedded in to acquire necessary physiological signals such as ECG, rib cage and abdomen movement, radial artery pulse, PCG, PPG ,temperature,...
Our solution builds on a kernel-based method called the support vector machine (SVM) for determining the locations of the nodes. The basic SVM algorithm contains two steps: (1) one-region classification using the SVM; and (2) multi-region localization which is a repeated application of one-region classification for a number of different regions. In this paper, we first analyze the error effects of...
This paper proposes a novel circuit architecture and its operation style for three-level ferroelectric random access memory (FeRAM) which can improve storage density by 1.5 times compared to traditional ITIC FeRAM under same technology. A new reference voltage generation scheme is adopted to enhance the reliability of this proposed circuit architecture. Based on the results of simulation, the function...
A community intrusion detection and pre-warning system based on wireless mesh network is presented in this paper. This system is composed of ARM (advanced RISC Machines) data acquisition nodes, wireless mesh network and control centre. The flame, smog and infrared signal of human can be detected by ARM nodes, and video and audio signal is collected and transmitted to control centre by wireless mesh...
Autonomous mobile robots are required to know precisely their position and orientation in order to successfully perform their mission. Since multi-robots collaboration has outstanding advantages, multi-robot collaborative localization method has been studied widely in recent years, but robots should have high performance in this method. As wireless sensors became smaller and cheaper in the recent...
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