Volume 1 Issue 2
Authors: Xiang Gao
Abstract: In this note, we present a simple approach to calculate the time of blowing up along the curve and surface contracting flow. Our approach dependents on the famous theorem of turning tangents, Gauss-Bonnet Theorem and Willmore Theorem. We also prove that the rotation index of a closed curve and the Euler characteristic of a closed surface are constants along the curve and surface contracting flow.
Keywords: curve contracting flow; surface contracting flow; square mean curvature flow; theorem of turning tangents; Gauss-Bonnet Theorem; Willmore Theorem
Authors: Hongxia Wang; Shengsheng Yu; Hongbing Pan
Abstract: This paper investigates farther the decomposition of diagnosis problem. Firstly, the relationship of test, component and signal attribute is described, the fault space of system is separated by the free-fault space, which can prune the diagnosis space, and minimal diagnosis was characterized by using function information. Secondly, this paper presents an algorithm for computing minimal diagnosis by using function information and an idea for partitioning the system by using function information. Finally, the correctness and completeness of the algorithm is proved, and the time complexity of the algorithm is also analyzed, which farther improves the effectiveness of diagnosing the systems and extends adaptability of decomposition of diagnosis problem.
Keywords: model-based; diagnosis; test; system partition; Signal Information
Authors: Tian Shaopeng; Fan Ling; Mi Shisheng; Cheng Qin
Abstract: This paper introduces a test-bed of gear shifting behavior on manual transmission. It is used to test the shift force and displacement of shifter. This experiment data can be used to evaluate the shift feeling of manual transmission. Usually, we evaluate the shift feeling subjectively. The test-bed can work automatically, which can avoid the subject factors of shifting by human. In the end of this paper, experiment data is gave to prove the validity of this test-bed.
Keywords: Testing Beach; Manual transmission; Shift; Analysis
Authors: YANG Jin-Fu; YANG Lin-Bao; LI Ming-Ai
Abstract: Electroencephalogram (EEG) signal is quite weak and can be easily contaminated by electrooculogram (EOG). This makes the signal processing and analyzing quite difficult. An automatic correction method with high effectiveness is perceived as an important technique to solve this problem. In this paper, a Hilbert-Huang transform (HHT) based automatic correction method is proposed. According to the local time-frequency properties of EOG and statistical characteristics of intrinsic mode function (IMF), EOG artifacts can be removed from EEG using this method. HHT has perfect local time-frequency properties, which could adapt to EEG with non-stationary signal. The results show that this method can remove EOG artifacts automatically from EEG which is contaminated by it.
Keywords: HHT; EOG; EEG
Authors: Zeng Guoqiang; Ge Liangquan; Li Fei
Abstract: With the development of unclear information transfer technology, modern nuclear analytical techniques has higher demand on nuclear information transmission and processing, especially for some 24 hours monitoring sites, which need for real-time monitoring and processing of data, the system integrates the Server and the Client into one service platform, may exchange functions of each part if necessary. The system sets a specific port to transfer and process nuclear data, and make sure the Client (nuclear detection instruments) is real-time controlled by the Server. The system is widely used in various types of unmanned long-range nuclear data processing and multi-level information transmission.
Keywords: long-range nuclear information transmission; real-time control; function exchange; multi-level information transmission
Authors: Sientang Tsai; Wei-Yeh Chen
Abstract: It is shown first by Adleman that deoxyribonucleic acid (DNA) strands could be employed towards calculating solution to an instance of the NP-complete Hamiltonian Path Problem (HPP). Lipton also demonstrated that Adleman’s techniques could be used to solve the satisfiability (SAT) problem. In this paper, it is demonstrated how the DNA operations presented by Adleman and Lipton can be used to develop the DNA-based algorithm for solving the Subset Product Problem.
Keywords: Biological Computing; Molecular Computing; DNA-based Computing; NP-complete Problems; Subset Product Problem
Authors: Bin Chen
Abstract: Chaotic sequences have been widely used as pseudorandom sequences. But up to now, we have no simple and effective method to test and improve their autocorrelation and RFM autocorrelation performances. In the paper, by method of phase space, relations between autocorrelation and phase space trajectory were studied, simple and effective methods were presented to assess and improve their autocorrelation and RFM autocorrelation performances. Many simulations were presented, too.
Keywords: Chaos; Autocorrelation; Random Frequency Modulation (RFM); Phase space
Authors: QI Chun-hua; ZHU Shou-lin; LI Xiang-Hong
Abstract: Combining with Fatigue Scale the research finding show: Driver fatigue can be described by the growth of hear rate and Heart rate variability in prairie highway landscape environment. Heart rate variability is more sensitively than heart rate.
Keywords: Prairie highway landscape environment; Driver fatigue; Growth of Heart Rate; HRV