384 research outputs found

    Effective Method for Rear-end Collision Warning System

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    AbstractThe rear-end collision warning system is prone to give false positive warnings, which can interfere with the driver's concentration while driving, and very often, the high pitched warning sound used in these systems is found to be annoying, and drivers tend to turn the system function off. As a result, this research mainly focused on showing how human beings learn and behave unconsciously, and how a warning sound can be effective without being high pitched.This paper validates the effect of an inconspicuous alarm or warning sound, by testing on a driving simulator. The test subjects learned the false positive warning generation pattern also unconsciously, and they applied the brake quickly only in case of imminent danger

    Mechanical path to a photogenerated structure: ball milling-induced phase transition of a gold(I) complex

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    Ball milling of blue-emitting crystal 1B of gold(I) isocyanide complex 1 induces a phase transition to yellow-emitting powder 1Y(G), which has the same solid structure as the previously reported 1Y obtained upon photoirradiation of 1B. This is the first example of mechanical stimulation inducing a phase change to a photo-accessible crystalline phase

    Bilinear Gaussian Belief Propagation for Massive MIMO Detection with Non-Orthogonal Pilots

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    Ito K., Takahashi T., Ibi S., et al. Bilinear Gaussian Belief Propagation for Massive MIMO Detection with Non-Orthogonal Pilots. IEEE Transactions on Communications , (2023); https://doi.org/10.1109/TCOMM.2023.3325479.We propose a novel joint channel and data estimation (JCDE) algorithm via bilinear Gaussian belief propagation (BiGaBP) for massive multi-user MIMO (MU-MIMO) systems with non-orthogonal pilot sequences. The contribution aims to reduce significantly the communication overhead required for channel acquisition by enabling the use of short non-orthogonal pilots, while maintaining multi-user detection (MUD) capability. Bilinear generalized approximate message passing (BiGAMP), which is systematically derived by extending approximate message passing (AMP) to the bilinear inference problem (BIP), provides computationally efficient approximate implementations of large-scale JCDE via sum-product algorithm (SPA); however, as the pilot length decreases, the estimation accuracy is severely degraded. To tackle this issue, the proposed BiGaBP algorithm generalizes BiGAMP by relaxing its dependence on the large-system limit approximation and leveraging the belief propagation (BP) concept. In addition, a novel belief scaling method complying with the data detection accuracy for each iteration step is designed to avoid the divergence behavior of iterative estimation in the early iterations due to the use of non-orthogonal pilots, especially in insufficient large-system conditions. Simulation results show that the proposed method outperforms the state-of-the-art schemes and approaches the performance of idealized (genie-aided) scheme in terms of mean square error (MSE) and bit error rate (BER) performances

    University Students’ Preferences for Labour Conditions at a Mining Site: Evidence from Two Australian Universities

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    The mining industry makes up a large portion of the gross domestic product (GDP) in Australia, although securing human resources remains a problem in that field. The aim of this paper is to identify Australian university mining students’ preferences, considering it as potential employees’ preferences, for labour conditions at mining sites by means of a discrete choice experiment to promote efficient improvements in labour conditions in the mining industry. The data of 93 respondents analysed in this paper was collected by survey carried out in two universities in Australia. The result of the study showed that students have preferences on several factors such as wage, fatality rate, working position, commuting style, and company. Students having specific sociodemographic characters were found to show specific preferences on labour conditions. The results of this study indicate the potential average of appropriate monetary compensation for each factor
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