Investigation of spatial distribution of oil and gas resource and accurate prediction of the geographic location of its undiscovered resource is significant for reducing exploration risk and improving exploration bene...Investigation of spatial distribution of oil and gas resource and accurate prediction of the geographic location of its undiscovered resource is significant for reducing exploration risk and improving exploration benefit.A new method for predicting spatial distribution of oil resource is discussed in this paper.It consists of prediction of risk probability in petroleum exploration and simulation of hydrocarbon abundance. Exploration risk probability is predicted by multivariate statistics,fuzzy mathematics and information processing techniques.A spatial attribute database for sample wells was set up and the Mahalanobis distance and Fuzzy value of given samples were obtained.Then,the Bayesian formula was used to calculate the hydrocarbon-bearing probability at the area of exploration wells.Finally,a hydrocarbon probability template is formed and used to forecast the probability of the unknown area. The hydrocarbon abundance is simulated based on Fourier integrals,frequency spectrum synthesis and fractal theory.Firstly,the fast Fourier transformation（FFT） is used to transform the known hydrocarbon abundance from the spatial domain to the frequency domain,then,frequency spectrum synthesis is used to produce the fractal frequency spectrum,and FFT is applied to get the phase information of hydrocarbon-bearing probability.Finally,the frequency spectrum simulation is used to calculate the renewed hydrocarbon abundance in the play. This method is used to predict the abundance and possible locations of the undiscovered petroleum accumulations in the Nanpu Sag of the Bohai Bay Basin,China.The prediction results for the well-explored onshore area of the northern Nanpu Sag agree well with the actual situations.For the less-explored offshore areas in the southern Nanpu Sag,the prediction results suggest high hydrocarbon abundance in Nanpu-1 and Nanpu-2,providing a useful guiding for future exploration.展开更多
Recent advances in technology provide countless innovative solutions and applications for supporting children with autism in educational learning and personal development. This result is an increasingly recognized nee...Recent advances in technology provide countless innovative solutions and applications for supporting children with autism in educational learning and personal development. This result is an increasingly recognized need to deal with new and unexpected risks and issues such as social exclusion. Diverse advanced technologies were aimed to support learning activity from different perspectives with multiple strategies. However, despite the significant amount of work and explored technology, several common risks pop up due to user’s vulnerability to diverse risks such as negative screen effects. Accordingly, there is still plenty of room for improvement in this regard. To address these vulnerabilities and gaps, this paper aims at identifying issues and challenges improving the technology applied for Autism Spectrum Disorders and autistics dedicated applications. It put forward requirements and design decisions supporting safe autistic dedicated interaction with regards to ISO31000 risk management process.展开更多
公路立交合流区交通环境复杂,交织比例和换道频次高,危险系数大。为描述合流场景下危险驾驶行为的主要表现形式,同时,量化其危险程度,提出操纵量指标表征立交合流区危险驾驶行为,构建基于车辆轨迹数据特征参数的驾驶行为谱;运用风险度...公路立交合流区交通环境复杂,交织比例和换道频次高,危险系数大。为描述合流场景下危险驾驶行为的主要表现形式,同时,量化其危险程度,提出操纵量指标表征立交合流区危险驾驶行为,构建基于车辆轨迹数据特征参数的驾驶行为谱;运用风险度量法量化4种危险驾驶行为,即急打方向、猛踩踏板、危险跟驰和危险换道。结合四分位差法和CRITIC(Criteria Importance Though Intercrieria Correlation)法确定危险驾驶行为特征参数阈值和权重,并综合计算危险驾驶行为谱特征值;结合危险点空间分布及相关研究验证操纵量指标的有效性。研究结果表明:4种危险驾驶行为相关系数均小于0.2,不存在共线性;4种危险驾驶行为中,急打方向权重占比最高,为0.405,对合流区行车安全影响最大;操纵量指标危险点空间分布与现有研究合流区交通冲突点吻合。上述结果证明:采用操纵量指标建立的危险驾驶行为谱可以客观实时的结合车辆轨迹数据辨识合流区危险驾驶人,为公路立交合流区主动安全防控提供依据。展开更多
孤独症谱系障碍(autism spectrum disorder,ASD)是一系列神经发展功能失调的综合,其核心特征包括:社会交往功能异常、刻板、重复性行为[《精神障碍诊断与统计手册(第五版)》(Diagnostic and Statistical Manual of Mental Disorders,DSM...孤独症谱系障碍(autism spectrum disorder,ASD)是一系列神经发展功能失调的综合,其核心特征包括:社会交往功能异常、刻板、重复性行为[《精神障碍诊断与统计手册(第五版)》(Diagnostic and Statistical Manual of Mental Disorders,DSM-5)][1]。随着研究的不断深入,ASD这一概念将之前孤独症的概念进行了整合,包括典型孤独症、不典型孤独症、阿斯伯格综合征(Asperger syndrome)、孤独症边缘、孤独症疑似等[1],因其诊疗和康复原则基本相同,为叙述方便,后文将谱系内疾病统称为孤独症。展开更多
文摘Investigation of spatial distribution of oil and gas resource and accurate prediction of the geographic location of its undiscovered resource is significant for reducing exploration risk and improving exploration benefit.A new method for predicting spatial distribution of oil resource is discussed in this paper.It consists of prediction of risk probability in petroleum exploration and simulation of hydrocarbon abundance. Exploration risk probability is predicted by multivariate statistics,fuzzy mathematics and information processing techniques.A spatial attribute database for sample wells was set up and the Mahalanobis distance and Fuzzy value of given samples were obtained.Then,the Bayesian formula was used to calculate the hydrocarbon-bearing probability at the area of exploration wells.Finally,a hydrocarbon probability template is formed and used to forecast the probability of the unknown area. The hydrocarbon abundance is simulated based on Fourier integrals,frequency spectrum synthesis and fractal theory.Firstly,the fast Fourier transformation（FFT） is used to transform the known hydrocarbon abundance from the spatial domain to the frequency domain,then,frequency spectrum synthesis is used to produce the fractal frequency spectrum,and FFT is applied to get the phase information of hydrocarbon-bearing probability.Finally,the frequency spectrum simulation is used to calculate the renewed hydrocarbon abundance in the play. This method is used to predict the abundance and possible locations of the undiscovered petroleum accumulations in the Nanpu Sag of the Bohai Bay Basin,China.The prediction results for the well-explored onshore area of the northern Nanpu Sag agree well with the actual situations.For the less-explored offshore areas in the southern Nanpu Sag,the prediction results suggest high hydrocarbon abundance in Nanpu-1 and Nanpu-2,providing a useful guiding for future exploration.
基金supported by National Natural Science Foundation of China（81201043,81171267,61102020,81261120410,81361120403） Shanghai Municipal Natural Science Foundation（12ZR1448400）+1 种基金 National Key Clinical Disciplines at Shanghai Mental Health Center（Office of Medical Affairs,Ministry of Health,2011-873OMA-MH,2011-873）
文摘Recent advances in technology provide countless innovative solutions and applications for supporting children with autism in educational learning and personal development. This result is an increasingly recognized need to deal with new and unexpected risks and issues such as social exclusion. Diverse advanced technologies were aimed to support learning activity from different perspectives with multiple strategies. However, despite the significant amount of work and explored technology, several common risks pop up due to user’s vulnerability to diverse risks such as negative screen effects. Accordingly, there is still plenty of room for improvement in this regard. To address these vulnerabilities and gaps, this paper aims at identifying issues and challenges improving the technology applied for Autism Spectrum Disorders and autistics dedicated applications. It put forward requirements and design decisions supporting safe autistic dedicated interaction with regards to ISO31000 risk management process.
文摘公路立交合流区交通环境复杂,交织比例和换道频次高,危险系数大。为描述合流场景下危险驾驶行为的主要表现形式,同时,量化其危险程度,提出操纵量指标表征立交合流区危险驾驶行为,构建基于车辆轨迹数据特征参数的驾驶行为谱;运用风险度量法量化4种危险驾驶行为,即急打方向、猛踩踏板、危险跟驰和危险换道。结合四分位差法和CRITIC(Criteria Importance Though Intercrieria Correlation)法确定危险驾驶行为特征参数阈值和权重,并综合计算危险驾驶行为谱特征值;结合危险点空间分布及相关研究验证操纵量指标的有效性。研究结果表明:4种危险驾驶行为相关系数均小于0.2,不存在共线性;4种危险驾驶行为中,急打方向权重占比最高,为0.405,对合流区行车安全影响最大;操纵量指标危险点空间分布与现有研究合流区交通冲突点吻合。上述结果证明:采用操纵量指标建立的危险驾驶行为谱可以客观实时的结合车辆轨迹数据辨识合流区危险驾驶人,为公路立交合流区主动安全防控提供依据。
文摘孤独症谱系障碍(autism spectrum disorder,ASD)是一系列神经发展功能失调的综合,其核心特征包括:社会交往功能异常、刻板、重复性行为[《精神障碍诊断与统计手册(第五版)》(Diagnostic and Statistical Manual of Mental Disorders,DSM-5)][1]。随着研究的不断深入,ASD这一概念将之前孤独症的概念进行了整合,包括典型孤独症、不典型孤独症、阿斯伯格综合征(Asperger syndrome)、孤独症边缘、孤独症疑似等[1],因其诊疗和康复原则基本相同,为叙述方便,后文将谱系内疾病统称为孤独症。
