With the rapid development of the Internet in recent years, people are using the Internet less and less frequently. People publish and obtain information through various channels on the Internet, and online social networks have become one of the most important channels. Many nodes in social networks and frequent interactions between nodes create great difficulties for privacy protection, and some of the existing studies also have problems such as cumbersome computational steps and low efficiency. In this paper, we take the complex environment of social networks as the research background and focus on the key issues of mobile wireless sensor network reliability from the mobile wireless sensor networks that apply to large-scale, simpler information, and delay tolerance. By introducing intelligent learning methods and swarm intelligence bionic optimization algorithms, we address reliability issues such as mobile wireless sensor network fault prediction methods and topology reliability assessment methods in industrial application environments, the impact of mobile path optimization of mobile wireless sensor networks on data collection efficiency and network reliability, reliable data transmission based on data fusion methods, and intelligent fault tolerance strategies for multipath routing to ensure mobile wireless sensor networks operate energy-efficiently and reliably in complex industrial application environments.
The high-speed test system of current pulses for T-shaped phase change memory (PCM) cells has been studied. This system, which is able to provide the narrowest width of 500 ns, can apply direct current source pulses to the PCM device to do SET and RESET operation. The reliability of the system has been verified through the fixed resistor and the real PCM cells. The test results are presented and analyzed.
Aiming at the problems of low precision, long time, and poor effect of current remote real-time motion location methods, a long-distance real-time motion location method based on wireless network technology was proposed. Through the analysis of wireless network technology, the basic structure and positioning technology of wireless sensor networks are studied. In addition, this paper adopts the core matrix Isomap node location algorithm based on partial least squares (PLS). The distance of geodesic between long-distance running nodes is used to characterize the dissimilarity between nodes, and the sample contribution rate of the partial least squares method is used to find and eliminate the phenomenon of short circuits in long-distance running fields. High-dimensional feature interval is mapped by centroid transformation and kernel transformation. The experimental results show that the method can improve the positioning accuracy and shorten the positioning time effectively.
The heart rate variability (HRV) index can be used as a reference for the accessory diagnostic of the cardiovascular disease and the non-invasive monitoring in the recovery process. The complexity estimation is an important parameter for depicting the information quantities of the time sequence signals. The Kolmogorov Complexity of the HRV indexes among 106 samples from the normal human, patients with Hypertension and patients with coronary heart disease has been calculated in this work. The statistical analysis of the calculated results has been carried out. The results obtained can be used as the reference in the clinical diagnostics.
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