Cyclist Safety in Urban Areas

Cycling as an alternative means of transport is encouraged in urban areas because of the societal and environmental benefits it brings to most cities. However, the conflicts between cyclists and motorists become more obvious in complex urban areas, which places cyclists in a dangerous situation- a higher chance to get involved in serious injuries. To analyze how the problem happens, this paper talks about the user research, environment and collisions analysis. Then, this paper presents survey procedure and results related to user demands for cycling safety. The visibility limitation was found to be the main reason for the conflicts. In terms of solutions, this paper introduces theoretical methods and existing products suggested to enhance cyclists’ visibility, and it proposes a visibility system which is designed with the consideration of Maslow\u27s hierarchy of needs. The whole system makes cyclists conspicuous so as to reduce the collisions between cyclists and motorists

Research on Translation of English Film Titles into Chinese From the Cultural Perspective

With the increasing development of globalization, films become a significant medium of cultural exchange among different countries. The film title, a key component of a film, plays an essential role in the propaganda of the film. Therefore, the translation of the film titles is critically important. This paper discusses the functions of film titles, analyzes the basic principles of English film title translation and cultural differences between China and western countries influencing the translation of English film titles, and then puts forward some translation strategies, including literal translation and transliteration, literal translation plus explanatory words and transliteration plus explanatory words, liberal translation, and creative translation, in the hope that these strategies to some extent can give some enlightenment to translators when English film titles are translated

Sparse Fast Fourier Transform and its application in intelligent diagnosis system of train rolling bearing

Healthy status monitoring of train bearing online is very meaningful work. But as traditional diagnosis system does, performing Fourier spectrum with the datum from more than 200 bearings in a marshalling train is an enormous challenge. Here a healthy status monitoring system of train rolling bearing based on Sparse Fast Fourier Transform (SFFT) is proposed. The monitoring system consists two sequential parts. First, extract fault features based on SFFT spectrum and other time-domain parameters. According to train bearing working environment, altogether 7 fault features are extracted in this paper. Another part is constructing a classifier based on BP neural network. Experimental results show that the system proposed here achieves gratifying results comparing with traditional fault diagnosis syste

Optimal Power Allocation for Two-Way Decode-and-Forward OFDM Relay Networks

This paper presents a novel two-way decode-and-forward (DF) relay strategy for Orthogonal Frequency Division Multiplexing (OFDM) relay networks. This DF relay strategy employs multi-subcarrier joint channel coding to leverage frequency selective fading, and thus can achieve a higher data rate than the conventional per-subcarrier DF relay strategies. We further propose a low-complexity, optimal power allocation strategy to maximize the data rate of the proposed relay strategy. Simulation results suggest that our strategy obtains a substantial gain over the per-subcarrier DF relay strategies, and also outperforms the amplify-and-forward (AF) relay strategy in a wide signal-to-noise-ratio (SNR) region.Comment: 5 pages, 2 figures, accepted by IEEE ICC 201

DoSTra: Discovering common behaviors of objects using the duration of staying on each location of trajectories

Since semantic trajectories can discover more semantic meanings of a user\u27s interests without geographic restrictions, research on semantic trajectories has attracted a lot of attentions in recent years. Most existing work discover the similar behavior of moving objects through analysis of their semantic trajectory pattern, that is, sequences of locations. However, this kind of trajectories without considering the duration of staying on a location limits wild applications. For example, Tom and Anne have a common pattern of Home→Restaurant → Company → Restaurant, but they are not similar, since Tom works at Restaurant, sends snack to someone at Company and return to Restaurant while Anne has breakfast at Restaurant, works at Company and has lunch at Restaurant. If we consider duration of staying on each location we can easily to differentiate their behaviors. In this paper, we propose a novel approach for discovering common behaviors by considering the duration of staying on each location of trajectories (DoSTra). Our approach can be used to detect the group that has similar lifestyle, habit or behavior patterns and predict the future locations of moving objects. We evaluate the experiment based on synthetic dataset, which demonstrates the high effectiveness and efficiency of the proposed method

Galactic Phylogenetics

Phylogenetics is a widely used concept in evolutionary biology. It is the reconstruction of evolutionary history by building trees that represent branching patterns and sequences. These trees represent shared history, and it is our intention for this approach to be employed in the analysis of Galactic history. In Galactic archaeology the shared environment is the interstellar medium in which stars form and provides the basis for tree-building as a methodological tool. Using elemental abundances of solar-type stars as a proxy for DNA, we built in Jofre et al 2017 such an evolutionary tree to study the chemical evolution of the solar neighbourhood. In this proceeding we summarise these results and discuss future prospects.Comment: Contribution to IAU Symposium No. 334: Rediscovering our Galax