详细介绍了移动多媒体广播（China Mobile Multimedia Broadcasting,CMMB）的含义、发展历程、系统架构和核心技术,以及现代远程教育新的发展趋势——移动学习（mobile-Learning）的含义和特点。对于将移动多媒体广播技术用于移动学习...详细介绍了移动多媒体广播（China Mobile Multimedia Broadcasting,CMMB）的含义、发展历程、系统架构和核心技术,以及现代远程教育新的发展趋势——移动学习（mobile-Learning）的含义和特点。对于将移动多媒体广播技术用于移动学习的优势进行了初步的分析。展开更多
Previous studies have identified trust as one of the key factors in the technology acceptance of autonomousvehicles. As these studies mostly investigated the population in general, little is known about segment-specif...Previous studies have identified trust as one of the key factors in the technology acceptance of autonomousvehicles. As these studies mostly investigated the population in general, little is known about segment-specific differences.Furthermore, the widely used survey methods are less able to capture the deeper forms of trust—which neuroscientificmethods are much better suited to capture. The main objective of our research is to study trust as one of the key factors oftechnology acceptance related to autonomous vehicles by using neuroscientific methods for specific consumer segments.Real-time eye-tracking tests were applied to a sample of 113 participants, combined with a posttest self-report. The testswere carried out under laboratory conditions during which our subjects watched videos recorded with the internal camerasof autonomous vehicles. Based on the fixation count, total fixation duration, and pupil dilation, we empirically verified thatthe trust level of all five identified segments is relatively low, while the trust level of the “traditional rejecting” segment is thelowest. An increase in trust level can be shown if the subjects receive extra information about the journey. Anotherimportant finding is that the self-reported trust level is not always congruent with the eye-tracking analysis results;therefore,combined approaches can lead to greater measurement validity.展开更多
Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada...Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occurring during a yellow light at inters展开更多
AVS（Advanced Audio Video Coding Standard in Information Technology,信息技术先进音视频编码标准）是我国具备自主知识产权的第二代信源编码标题。顾名思义，“信源”是信息的源头，信源编码技术解决的重点问题是数字音视频海量数...AVS（Advanced Audio Video Coding Standard in Information Technology,信息技术先进音视频编码标准）是我国具备自主知识产权的第二代信源编码标题。顾名思义，“信源”是信息的源头，信源编码技术解决的重点问题是数字音视频海量数据（即初始数据，信源）的编码压缩问题，故也称数字音视频编解码技术。显而易见，它是其后数字信息传输，存储，播放等环节的前提，因此是数字音视频产业的共性基础标准。展开更多
基金the National Research,Development and Innovation Office–NKFIH,OTKA K137571.
文摘Previous studies have identified trust as one of the key factors in the technology acceptance of autonomousvehicles. As these studies mostly investigated the population in general, little is known about segment-specific differences.Furthermore, the widely used survey methods are less able to capture the deeper forms of trust—which neuroscientificmethods are much better suited to capture. The main objective of our research is to study trust as one of the key factors oftechnology acceptance related to autonomous vehicles by using neuroscientific methods for specific consumer segments.Real-time eye-tracking tests were applied to a sample of 113 participants, combined with a posttest self-report. The testswere carried out under laboratory conditions during which our subjects watched videos recorded with the internal camerasof autonomous vehicles. Based on the fixation count, total fixation duration, and pupil dilation, we empirically verified thatthe trust level of all five identified segments is relatively low, while the trust level of the “traditional rejecting” segment is thelowest. An increase in trust level can be shown if the subjects receive extra information about the journey. Anotherimportant finding is that the self-reported trust level is not always congruent with the eye-tracking analysis results;therefore,combined approaches can lead to greater measurement validity.
文摘Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occurring during a yellow light at inters
文摘AVS（Advanced Audio Video Coding Standard in Information Technology,信息技术先进音视频编码标准）是我国具备自主知识产权的第二代信源编码标题。顾名思义，“信源”是信息的源头，信源编码技术解决的重点问题是数字音视频海量数据（即初始数据，信源）的编码压缩问题，故也称数字音视频编解码技术。显而易见，它是其后数字信息传输，存储，播放等环节的前提，因此是数字音视频产业的共性基础标准。
