Driving maneuvers prediction based on cognition-driven and data-driven method

Advanced Driver Assistance Systems (ADAS) improve driving safety significantly. They alert drivers from unsafe traffic conditions when a dangerous maneuver appears. Traditional methods to predict driving maneuvers are mostly based on data-driven models alone. However, existing methods to understand the driver's intention remain an ongoing challenge due to a lack of intersection of human cognition and data analysis. To overcome this challenge, we propose a novel method that combines both the cognition-driven model and the data-driven model. We introduce a model named Cognitive Fusion-RNN (CF-RNN) which fuses the data inside the vehicle and the data outside the vehicle in a cognitive way. The CF-RNN model consists of two Long Short-Term Memory (LSTM) branches regulated by human reaction time. Experiments on the Brain4Cars benchmark dataset demonstrate that the proposed method outperforms previous methods and achieves state-of-the-art performance

Multiple Linear Regression Model of Blood Oxygen Saturation

We used standardized regression analysis to analyze the influence of age and recent smoking status on blood oxygen saturation. We found that blood oxygen saturation was negatively correlated with age and recent smoking status, but whether smoking had a greater influence on blood oxygen saturation than age. In order to further explore whether age and recent smoking status could jointly affect oxygen saturation of blood, we used k-means clustering algorithm and took age as the control variable to conduct clustering analysis. Is obtained by polynomial fitting, and then the blood oxygen saturation under all ages about age, smoking status of recent expression of partial derivatives of recent smoking status, get the following conclusion: smoking is oxygen desaturation, and compared with the young, the elderly smoking more effect on the blood oxygen saturation degree, are more likely to suffer from cardiovascular disease.When the regression results were tested for significance, the significance of all variables was investigated, and it was found that only age and current smoking status were significant for oxygen saturation, while BMI and gender showed no difference from zero in T test, indicating that oxygen saturation was not affected by BMI and gender. Then, taking oxygen saturation as the dependent variable and age and current smoking status as independent variables, the spline interpolation method with the best fitting effect was found, and its expression was given in the text

Female Executives and Corporate Performance: Evidence from China

There is much literature that looks to examine the influence of female executives on corporate performance. Glass ceiling theory, agency theory and stakeholder theory helps to understand the factors that influence the existence of female executives. Empirical evidence shows that glass ceiling and women's self-consideration can hinder women's promotion, while women's unique perspectives and abilities attract companies to promote them to senior management. Moreover, female executives are more democratic and risk-averse. This paper uses empirical evidence to discuss the relationship between female executives and corporate performance. It uses data of 1,395 listed companies in China from the year 2015 to 2019 as a research sample. An empirical analysis on the relationship between female executives and corporate performance is provided, as well as on the mediating effect of female executives' education level. Additionally, this paper explores the relationship of female executives under different corporate ownership structures on corporate performance. The results of this paper find that female executives are more represented in the service and emerging industries. It also finds that there is a significant positive relationship between female executives and corporate performance, and between female executive education levels and corporate performance. Finally, this paper finds that the influence of female directors on corporate performance is higher significant in non-state-owned companies than that in state-owned companies. This paper expands on earlier research in the literature and adds new empirical evidence. Also, this paper provides a unique management perspective for Chinese boards of directors and offers useful guidance for Chinese regulators on the issue

IEEE 802.11be Wi-Fi 7: Feature Summary and Performance Evaluation

While the pace of commercial scale application of Wi-Fi 6 accelerates, the IEEE 802.11 Working Group is about to complete the development of a new amendment standard IEEE 802.11be -- Extremely High Throughput (EHT), also known as Wi-Fi 7, which can be used to meet the demand for the throughput of 4K/8K videos up to tens of Gbps and low-latency video applications such as virtual reality (VR) and augmented reality (AR). Wi-Fi 7 not only scales Wi-Fi 6 with doubled bandwidth, but also supports real-time applications, which brings revolutionary changes to Wi-Fi. In this article, we start by introducing the main objectives and timeline of Wi-Fi 7 and then list the latest key techniques which promote the performance improvement of Wi-Fi 7. Finally, we validate the most critical objectives of Wi-Fi 7 -- the potential up to 30 Gbps throughput and lower latency. System-level simulation results suggest that by combining the new techniques, Wi-Fi 7 achieves 30 Gbps throughput and lower latency than Wi-Fi 6.Comment: 6 pages, 4 figure

Hydrothermal Preparation of Visible-Light-Driven N-Br-Codoped TiO

Using a facile hydrothermal method, N-Br-codoped TiO2 photocatalyst that had intense absorption in visible region was prepared at low temperature (100°C), through a direct reaction between nanocrystalline anatase TiO2 solution and cetyltrimethylammonium bromide (CTAB). The results of X-ray photoelectron spectroscopy (XPS) showed the existence of N-Ti-N, O-Ti-N-R, Ti3+ (attribute to the doped Br atoms by charge compensation), and TiOxNy species, indicating the successful codoping of N and Br atoms, which were substituted for lattice oxygen without any influence on the crystalline phase of TiO2. In contrast to the N-doped sample, the N-Br-codoped TiO2 photocatalyst could more readily photodegrade methylene blue (MB) under visible-light irradiation. The visible-light catalytic activity of thus-prepared photocatalyst resulted from the synergetic effect of the doped nitrogen and bromine, which not only gave high absorbance in the visible-light range, but also reduced electron-hole recombination rate

In-memory photonic dot-product engine with electrically programmable weight banks

Electronically reprogrammable photonic circuits based on phase-change chalcogenides present an avenue to resolve the von-Neumann bottleneck; however, implementation of such hybrid photonic–electronic processing has not achieved computational success. Here, we achieve this milestone by demonstrating an in-memory photonic–electronic dot-product engine, one that decouples electronic programming of phase-change materials (PCMs) and photonic computation. Specifically, we develop non-volatile electronically reprogrammable PCM memory cells with a record-high 4-bit weight encoding, the lowest energy consumption per unit modulation depth (1.7 nJ/dB) for Erase operation (crystallization), and a high switching contrast (158.5%) using non-resonant silicon-on-insulator waveguide microheater devices. This enables us to perform parallel multiplications for image processing with a superior contrast-to-noise ratio (≥87.36) that leads to an enhanced computing accuracy (standard deviation σ ≤ 0.007). An in-memory hybrid computing system is developed in hardware for convolutional processing for recognizing images from the MNIST database with inferencing accuracies of 86% and 87%