Many works have been done in the methods of improving performance by proposing new speech characteristics and new perception measurements. However, they only focus on one of the two aspects. In this paper, we try to study the relationship between them. That is, we discuss which acoustic features or their combinations are the most consistent with the real perception of Chinese initials. We propose a method that can measure the acoustic distance and keep it monotonically related to the perceptual distance of Chinese initials. We first define the acoustic distance and perceptual distance between different Chinese initials, and single out a proper combination of acoustic features and two compatible distance metrics by conducting clustering analysis on the samples of all types of Chinese initials using MFCC and PLP. Based on the data provided by the General Hospital of the People's Liberation Army, we then calculate the acoustic distance and perceptual distance. Finally, we calculate the Spearman's rho between two types of distance corresponding to the two calculation method. The experiment results show that there is a relatively high strength of monotonic relationship with the selected acoustic features between two types of distance.

The fuzzy comprehensive evaluation model of comfort of high-speed train was established by using Fuzzy-ANP. In this model,firstly, the weight of each multiple index was determined by employing ANP; Secondly, the fuzzy evaluation matrix of multiple index was assessed by the expert scoring method; Finally, the evaluation grade of comfort of high-speed train under multi-hierarchy was discussed by using the fuzzy comprehensive evaluation method combined with the weight and the fuzzy evaluation matrix of each multiple index . The evaluation method provided an effective theoretical support for comprehensive assessment research of comfort of high-speed train through the analysis of an example. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications.

There are still enormous amount of collision between trains even if comprehensive and complex technology, such as train control system, is extensively deployed in the infrastructure which should help to avoid such collisions. Experiences from aviation, maritime, and road transport systems have shown that the probability of collisions can be significantly reduced with collision avoidance systems basing on direct vehicle-to-vehicle communication on-board, which do hardly require infrastructure components. Additional Collision Avoidance System overlay Train Control System (CASOTCS) for Chinese railway, which is independent of the regular control mechanism, is provided in this paper. CASOTCS unit architecture and its key issues: position detection, direct train-to-train communication and collision surveillance resolution are also discussed. CASOTCS receives and evaluates the information broadcasted by other infinity trains, if a potential collision is detected, lead to collision alerts and avoidance resolution advisories. CASOTCS has the potential to increase safety and efficiency in the future, such as shorten the distance between trains.

Introducing the Lagrangian approach to acoustic simulation is supposed to reduce the difficulty in solving problems with deformable boundaries, complex topologies, or multiphase media. Specific examples are sound generation in the vocal track and bubble acoustics. As a Lagrangian meshfree particle method, the traditional smoothed particle hydrodynamics (SPH) method has been applied in acoustic computation but in a quiescent medium. This study presents two Lagrangian approaches for modeling sound propagation in moving fluid. In the first approach, which can be regarded as a direct numerical simulation method, both standard SPH and the corrective smoothed particle method (CSPM) are utilized to solve the fluid dynamic equations and obtain pressure change directly. In the second approach, both SPH and CSPM are used to solve the Lagrangian acoustic perturbation equations; the particle motion and the acoustic perturbation are separated and controlled by two sets of governing equations. Subsequently, sound propagation in flows with different Mach numbers is simulated with several boundary conditions including the perfected matched layers. Computational results show clear Doppler effects. The two Lagrangian approaches demonstrate convergence with exact solutions, and the different boundary conditions are validated to be effective.

Traditional Live Wire algorithm distinguished the strength edge of objectives uneasily and executive speed of algorithm is slow. For these problems, an improved Live-Wire algorithm is proposed. First it implements anisotropic diffusion filtering to images and constructs a new expense function, then combined with region growing segmentation algorithm, it implements interactive segmentation to medical images. Improved algorithm avoids the shortcomings of the traditional Live-wire algorithm which is sensitive to noise and can not effectively distinguish the edge of the strength, also reduces the time and blindness of dynamic programming to find the optimal path and improves the accuracy and implementation efficiency of the image segmentation.