Time Series Measurement Based on Multiscale High Order Entropy and Roughness Grain Exponents

In multiscale time series analysis, multiscale entropy provides a good framework to quantify the information of time series. Multiscale fractional high-order entropy based on roughness grain exponents (MFHER) is able to identify dynamical, scale dependent and oscillation information. In detail, MFHERcan be seen as a powerful tool to assess the complex characteristics of time series. A set of synthetic time series and an application of real world data financial series are researched. The results show that high order entropy performs well in distinguishing different time series. It has also been found fractional high order entropy is highly sensitive to parameter variation and thus provides a broad perspective to research the complexity of dynamic systems. This study gains an insight into the measurement of MFHER to demonstrate the wide applicability of entropy measures.Aiming at the complexity of network and the uncertainty of internal and external environment, this paper proposes MFHER to quantify the time series information on multiscale time scales. It is of great interests in identifying dynamical properties of nancial series. The results show that the volatility of the sequence is gradually stable when the scale is greater than four. High order entropy can identify the difference among the time series.

An Elderly Monitoring System Based on Multiple Ultra-Sensitive Vibration and Pneumatic Sensors

In recent years, aging of the population has become a major social problem. Various types of sensor networks have been applied to elderly monitoring for addressing the care problems of the elderly living alone. We have also proposed elderly monitoring systems based on wireless sensor network devices. However, vision-based sensors can also cause a mental burden on the elderly’s privacy. Furthermore, the number of sensors must be reduced, if possible. Therefore, this study proposes an elderly monitoring system composed of two vibration sensors placed on the floor and a pneumatic sensor placed on the bed. Because both sensors include considerable measurement noise, we propose a human behavior estimation method that includes anomaly detection from time-series measurement data using an autocorrelation coefficient. Finally, we discuss the effectiveness and usability of the proposed system through several experimental results. The accuracy of walking detection reaches 94.4%, while the error of heartbeat detection is 3.01 bpm.

A versatile DNA origami based plasmonic nanoantenna for label-free single-molecule SERS

DNA origami technology allows for the precise nanoscale assembly of chemical entities that give rise to new functional materials. We have created a versatile DNA Origami Nanofork Antenna (DONA) by assembling Au or Ag nanoparticle dimers with different gap sizes down to 1.17 nm, enabling signal enhancements in surface-enhanced Raman scattering (SERS) of up to 1011. This allows for single-molecule SERS measurements, which can even be performed with larger gap sizes to accommodate differently sized molecules, and at various excitation wavelengths. A general scheme is presented to place single analyte molecules into the SERS hot spots using the DNA origami structure exploiting covalent and non-covalent coupling schemes. By using Au and Ag dimers, single-molecule SERS measurements of three dyes and cytochrome c and horseradish peroxidase proteins are demonstrated even under non-resonant excitation conditions, thus providing long photostability during time-series measurement, and enabling unprecedented optical monitoring of single molecules.

A versatile DNA origami based plasmonic nanoantenna for label-free single-molecule SERS

DNA origami technology allows for the precise nanoscale assembly of chemical entities that give rise to new functional materials. We have created a versatile DNA Origami Nanofork Antenna (DONA) by assembling Au or Ag nanoparticle dimers with 1.17 ± 0.67 nm gap size, enabling signal enhancements in surface-enhanced Raman scattering (SERS) of up to 1011. This allows for single-molecule SERS measurements, which can even be performed with larger gap sizes to accommodate differently sized molecules, and at various excitation wavelengths. A general scheme is presented to place single analyte molecules into the SERS hot spots using the DNA origami structure exploiting covalent and non-covalent coupling schemes. By using Au and Ag dimers, single-molecule SERS measurements of three dyes and cytochrome c and horseradish peroxidase proteins are demonstrated even under non-resonant excitation conditions, thus providing long photostability during time-series measurement, and enabling unprecedented optical monitoring of single molecules and DNA origami based nanomachines.