目的:建立本土化的中国面部表情视频系统(chinese facial expression video system,CFEVS)以增加情绪研究的取材范围。方法:录制强度分为三等级的喜悦、悲伤、惊奇、恐惧、愤怒、厌恶及中性(无表情及咀嚼动作两种)等面部表情视频片段,...目的:建立本土化的中国面部表情视频系统(chinese facial expression video system,CFEVS)以增加情绪研究的取材范围。方法:录制强度分为三等级的喜悦、悲伤、惊奇、恐惧、愤怒、厌恶及中性(无表情及咀嚼动作两种)等面部表情视频片段,经两轮粗选后,请50名中国大学生对剩余视频片段的表情类型、愉悦度、唤醒度及表演者的长相进行自我报告式评定。将表情类型、愉悦度、唤醒度一致性高且表情类型与愉悦度相一致的片段纳入CFEVS,做分布分析,同时分析评测者性别、表演者长相对愉悦度、唤醒度分值的影响。结果:纳入CFEVS的喜悦表情男18女43共61个,悲伤表情男23女28共51个,无表情中性男13女17共31个,咀嚼中性男7女17共24个。散点图显示CFEVS在愉悦度及唤醒度上分布较为广泛。方差分析表明评测者性别及表演者长相对视频片段的愉悦度、唤醒度的影响与其表情类型有关。结论:本研究初步建立了一个拥有喜悦、悲伤及中性表情的CFEVS,并发现评测者的性别及表演者的长相可影响实验结果。展开更多
Over the last 45 years, the development of backbone telecommunications systems and construction of strategic oil and gas pipelines has spanned tens of thousands ofkilometres in harsh environments （arctic to tropical,...Over the last 45 years, the development of backbone telecommunications systems and construction of strategic oil and gas pipelines has spanned tens of thousands ofkilometres in harsh environments （arctic to tropical, unmanned or developing areas）. As the vast majority of these areas are without an electrical power lines infrastructure, the need arose for a highly reliable and maintenance-free power supply to allow the continuous operations of these projects. ORC （Organic Rankine Cycle） based on CCVT （closed cycle vapor turbogenerator） was specially developed for the special requirements. The paper presents the CCVT and its mode of operation, design criteria and case studies in projects implemented in the last 45 years.展开更多
r-learning,which is based on e-learning and u-learning,is defined as a learning support system that intelligent robots serve verbal and nonverbal interactions on ubiquitous computing environment.In order to guarantee ...r-learning,which is based on e-learning and u-learning,is defined as a learning support system that intelligent robots serve verbal and nonverbal interactions on ubiquitous computing environment.In order to guarantee the advantages of r-learning contents with no limits of timc and place and with nonverbal interaction which are not in e-learning contents,in recent years,assessment criteria for r-learning contents are urgently rcquired.Therefore,the reliable and valid assessment criteria were developed for nonverbal interaction contents in r-learning,and its detailed research content is as follows.First,assessment criteria for nonverbal interaction in r-learning contents will be specified into gesture,facial expression,semi-verbal message,distance,physical contact and time.Second,the validity of the developed assessment criteria will be proved by statistics.Consequently,the assessment criteria for nonverbal interaction contents will be helpful when choosing the better r-learning content and producing the better r-learning content,and the reliability of school education is improved ultimately.展开更多
文摘目的:建立本土化的中国面部表情视频系统(chinese facial expression video system,CFEVS)以增加情绪研究的取材范围。方法:录制强度分为三等级的喜悦、悲伤、惊奇、恐惧、愤怒、厌恶及中性(无表情及咀嚼动作两种)等面部表情视频片段,经两轮粗选后,请50名中国大学生对剩余视频片段的表情类型、愉悦度、唤醒度及表演者的长相进行自我报告式评定。将表情类型、愉悦度、唤醒度一致性高且表情类型与愉悦度相一致的片段纳入CFEVS,做分布分析,同时分析评测者性别、表演者长相对愉悦度、唤醒度分值的影响。结果:纳入CFEVS的喜悦表情男18女43共61个,悲伤表情男23女28共51个,无表情中性男13女17共31个,咀嚼中性男7女17共24个。散点图显示CFEVS在愉悦度及唤醒度上分布较为广泛。方差分析表明评测者性别及表演者长相对视频片段的愉悦度、唤醒度的影响与其表情类型有关。结论:本研究初步建立了一个拥有喜悦、悲伤及中性表情的CFEVS,并发现评测者的性别及表演者的长相可影响实验结果。
文摘Over the last 45 years, the development of backbone telecommunications systems and construction of strategic oil and gas pipelines has spanned tens of thousands ofkilometres in harsh environments （arctic to tropical, unmanned or developing areas）. As the vast majority of these areas are without an electrical power lines infrastructure, the need arose for a highly reliable and maintenance-free power supply to allow the continuous operations of these projects. ORC （Organic Rankine Cycle） based on CCVT （closed cycle vapor turbogenerator） was specially developed for the special requirements. The paper presents the CCVT and its mode of operation, design criteria and case studies in projects implemented in the last 45 years.
基金Project(2011)supported by the research grant of the Chungbuk National University,South Korea
文摘r-learning,which is based on e-learning and u-learning,is defined as a learning support system that intelligent robots serve verbal and nonverbal interactions on ubiquitous computing environment.In order to guarantee the advantages of r-learning contents with no limits of timc and place and with nonverbal interaction which are not in e-learning contents,in recent years,assessment criteria for r-learning contents are urgently rcquired.Therefore,the reliable and valid assessment criteria were developed for nonverbal interaction contents in r-learning,and its detailed research content is as follows.First,assessment criteria for nonverbal interaction in r-learning contents will be specified into gesture,facial expression,semi-verbal message,distance,physical contact and time.Second,the validity of the developed assessment criteria will be proved by statistics.Consequently,the assessment criteria for nonverbal interaction contents will be helpful when choosing the better r-learning content and producing the better r-learning content,and the reliability of school education is improved ultimately.
