Applied Mechanics and Materials Vols. 411-414

Abstract: This paper used signal Cyclostationarity and MUSIC minimum norm method to estimate DOA and polarization parameters with linear polarization array. Cyclostationarity statistics have the advantage of limiting different frequencies of signal cycle stationary colored noise and inhibit both the minimum norm loop correlation function and estimation error. This paper also verifies the effectiveness of the method through simulation experiments.

Abstract: This research aimed to separate the signals of respiration and heartbeat effectively from the biological radar echo signals of vital signs detecting platform. Therefore the characteristics parameters of the respiration and heartbeat could be extracted to provide the basis for clinical diagnosis and disease prevention. This paper put forward a separation algorithm of heartbeat and respiration based on LMS adaptive harmonic cancellation, the combined harmonics of the breathing signal was regarded as a reference input signal of the adaptive filter to improve the algorithm. Related experiments were designed to conduct filter processing. Results show that the algorithm proposed proved to be more effective in the signals separation of respiration and heartbeat.

Abstract: A original design of micro-hotplate is proposed for micro-structural gas sensor. The simulation results of ANSYS reveal that higher temperature and more uniform temperature distribution was achieved in the micro-hotplate when the thickness of SiO₂, thickness of Si substrate, electrode width and electrode space were designed to be 100, 200, 20 and 250 μm, respectively. The new micro-hotplate is beneficial to improving the sensor sensitivity.

Abstract: The surface plasmon resonance (SPR) sensor is proposed based on coating the inner surfaces of an index-guiding microstructured optical fiber (MOF) with a silver layer. Fiber core is surrounded by six large metallized holes which should facilitate the fabrication of the layered sensor structure and the infiltration of the analyte. The relationship between the sensitivity of SPR sensor and the refractive index of MOF material is demonstrated with finite element method (FEM). Numerical simulation results indicate that the sensitivity of SPR sensor decreases as the refractive index of the MOF material increasing and both spectral and intensity sensitivity are estimated to be 6.25×10^-5 and 6.67×10^-5 with low refractive index of MOF material n=1.46.

Abstract: In this paper, we propose a new hollow-core photonic crystal fiber, which can be available for gas sensor. In addition, properties of the fiber are analyzed at the wavelength of C₂H₂ and NH₃ absorption peak 1530nm and 1967nm, respectively. For both wavelengths, relative sensitivity coefficients are higher than 0.95, which makes sense in gas sensing. We also get relationship between relative sensitivity coefficient and radius of fiber core, as well as effective refractive index of the mode field.

Abstract: With the rapid development of sensor technology recently, sensors have been applied to various fields for detecting object states, e.g. intelligent agriculture, intelligent power, intelligent city, the Internet of Things, etc., and have becoming more and more critical for dynamic data acquisition. Due to detection environment, detection technology, costs and other factors, access to actual sensors for developing or debugging a sensor application may cause additional costs and time. Meanwhile, testing new sensor applications and protocols needs appropriate feasible ways with low costs and short time. Therefore, it is fairly urgent for designing and developing a simulation environment of sensors and sensor applications. This paper parsed the general structure of digital sensors, and then designed domain-based high level architecture of digital sensor simulator. Finally, the prototype of digital sensor simulator was developed and demonstrated the proper performance. Results show that digital sensor simulator would provide an effective way for testing novel sensors and protocols and also play an important role for constituting sensor network simulation environment.

Abstract: Based on west of Qimantage of East Kunlun mountain area, takes advantage of ASTER data, according to the altered mineral spectral characteristics, remote sensing alteration information is extracted. Incorporation the anomaly extraction results with high-precision aero geophysical data processing results, a multiple resource information fusion model is proposed. The fusion model of two totally different type of data which is a special attention in geospatial academia now, which can improve the accuracy of geospatial data application. our fusion result analysis show that it provides information more accurately and sufficiently than separate geospatial data application. The fusion can provide decision-making support for mineral resources prediction.

Abstract: In this paper, we study how to improve the efficiency of classic AC matching algorithm for scanning systems, and proposed an algorithm named AC-SUN based on Sunday matching algorithm. In our design, AC-SUN combines jumps strengths of Sunday algorithm and AC algorithm to avoid verbatim matching problem, meanwhile it retaining the advantages of the AC algorithm that establishes state tree and invalid pointer to increasing successful matching percentage. Our experimental result also verified its superiority to the classic AC algorithm.

Abstract: Bone-conducted life sounds are useful for monitoring human healthy situation. Although a number of feature extraction methods were proposed for air-conducted speech, they may not meet the requirements of the recognition task for bone-conducted life sounds since there is a large difference between air-conducted speech and bone-conducted life sounds. In order to obtain features that can characterize bone-conducted signals, in this study, we first analyze the property of bone-conducted life sounds itself and compare each kind of life sounds in the frequency region. Then we adopt the methods of F-ratio and improved F-ratio separately to measure the dependences between frequency components and characteristics of life sounds. According to the result of analysis, we design a new adaptive frequency filter to extract the desired discriminative feature. The new feature is combined with the Hidden Markov Model and applied to classify different kinds of bone-conducted life sounds. The experimental results show that the error rate using the proposed feature based on State mean F-ratio is reduced by 7.2% compared with the MFCC feature.

Abstract: The acoustic detection of SOFC is a current research hotspot, the acoustic characteristics of SOFC are very important to design of detection system. In this paper, we use Kirchhoff approximation to solve the buried SOFC scattering sound field, in order to calculate more convenient, we introduce the concept of effective target strength, and simulate the theoretical results, the result shows that, the work mode which has low working frequency, narrow beam, and large grazing angle can reach the require, provides reference for later work.