Applied Mechanics and Materials Vol. 643

Abstract: Newborn pain is a non-stationary made by babies in reaction to certain circumstances. This infant facial expression can be used to recognize physical or psychology condition of newborn. The goal of this study is to evaluate the performance of illumination levels for infant pain classification. Local Binary Pattern (LBP) features are computed at Fuzzy k-NN classifier. Eight different performance measurements such as Sensitivity, Specificity, Accuracy, Area under Curve (AUC), Cohen's kappa (k), Precession, F-Measure and Time Consumption are performed. Fuzzy k-NN classifier is employed to classify the newborn pain. The outcomes accentuated that the suggested features and classification algorithms can be employed to assist the medical professionals for diagnosing pathological condition of newborn pain.

Abstract: The paper analyzes the two kinds magnetic field sensor measuring principle based nuclear Zeeman effect, the signal characteristics are analyzed according to the formula of the sensor output signal, the curve of the sensor maximum output signal VS the earth magnetic field obtained by using the method of combination numerical and experimental. With constant output signal amplitude as a criterion, the amplifier which satisfies the characteristic of the sensor output was designed. To further improve the SNR, program controllable self-tracking band pass filter (PCSTBF) was designed based on the switch capacitor filter and the FFT. The results showed that: the SNR was increased by using the amplifier which contains the PCSTBF, and the bandwidth of the output signal was not reduced.

Abstract: An intelligent measurement system is introduced, which is based on time-triggered embedded system with the characteristics of multitask and multiparameter in the process of measuring parameters. The system is consist of MCU, USB and the time-triggered structure. The predictability makes the system avoid the interrupt loss. The stability and reliability of the system has been improved. The experimental results show that the system not only has the characteristics of flexible measurement control, data transmission, and data storage, but also can analysis the field parameters.

Abstract: This paper presents a 3D gesture recognition technology based on machine vision as the center. Based on a large number of experiments, this paper sums up and introduces the existing gesture recognition technology, the key research contents of gesture recognition, as well as the history of development of gesture recognition technology. Then, the paper does research in the main technology of gesture recognition .The experimental results show that the method can realize 3D gesture recognition in video sequences with real-time and stability, even more; it can get better recognition result.

Abstract: Two-phase flow exists widely in industrial production process. On-line intelligent identification of flow parameters plays an increasingly important role in the industrial production safety. Among flow parameters, the identification of flow regimes is especially important and valuable for industrial processes control. To satisfy the on-line identification, it is necessary to reduce time consuming in training and recognition phase. In the paper, the parameters measurements are implemented in Electrical resistance tomography (ERT), which is a process tomography technology based on electrical resistance sensing mechanism. A new identification method is proposed using PCA feature extraction and Extreme learning neural networks. Simulation was carried out for typical flow regimes core flow, laminar flow, circulation flow and trickle flow. The results show its feasibility. In order to prove its advantage in improving speed, running time using back propagation and support vector machine algorithms are compared with extreme learning machine. The experiments results indicate that this method significant reduces time consuming in training phase.

Abstract: Two-phase flow measurement plays an increasingly important role in the real-time, on-line control of industrial processes including fault detection and system malfunction. Many experimental and theoretical researches have done in the field of tomography image reconstruction. However, the reconstruction process cost quite long time so that there are number of challenges in the real applications. An alternative approach to monitor two-phase flow inside a pipe/vessel is to take advantage of identification of flow regimes. This paper proposes a new identification approach for common two phase flow using LDA feature extraction and Support Vector Machine based on Electrical Tomography measurement. Simulation was carried out for typical flow regimes using the approach. The results show its feasibility, and the results indicate that this method is fast in speed and can identify these flow regimes correctly.

Abstract: This paper discussed the crucial demand regarding the scheme to translate the silence voice from the newborn. The infant can’t afford to express their feeling of pain by voice. Hence, we proudly present an infant pain recognition system to overcome this matter. We employed the Single Scale Retinex (SSR) to remove the illumination level. Secondly, Discrete Cosine Transform (DCT) was adopted as the feature extraction. We determine the condition of the infants (pain/no pain) with Linear Discriminant Analysis (LDA). Several diagnosis tests were performed to estimate the performance of the suggested method under various illumination levels.

Abstract: The methods of observing and processing infrasonic signals from earthquake sources are discussed in this paper. The categories of earthquake infrasound are firstly discussed. Spectrum analysis as well as travel speed calculation are used to distinguish high frequency local infrasound from the acoustic-gravity wave. Monitoring network has been established to capture the signals from the atmosphere. Basing on a simplified correlation method, a triangle array made of three sensors can decide the direction of the coming signal, and locate the earthquake sources. The calculation error and steps of further improvement are also discussed at the end of the paper.

Abstract: In this paper, we propose a novel ship detection method based on multi-visual features after analyzing the characteristics of ship in the sea. According to the principal of the visual contrast, brightness and orientation saliency map of ship object are respectively generated, and then they are integrated to obtain the total saliency map. In addition to the brightness and orientation of the ship objects, the method doesn’t use other prior knowledge of them. In ship detection experiment, the experimental results prove our method can effectively concentrate on the ship objects regardless of their size and brightness, and thereby improve the capacity of visual attention in complex scene. Thus, the design idea of our method is verified.

Abstract: This paper introduce the thought of USB interface application, an automatic measurement system is as an example. The PC control system of automatic measurement by the Labview software programming, then control relay, and control the work state of the HP3. It shows that the design of USB interface application system is realized by using labview programming easy and high efficiency.