数字指纹的技术分析与模型改进

数字指纹作为数字作品版权保护的一种新型技术,越来越得到人们的重视。首先介绍了研究数字指纹的功能与特征,然后分析了指纹的多种编码方案以及指纹协议的演进过程,最后提出了一种数字指纹的系统模型,该模型可用于一些数字作品的版权保护。     

Inference to the hypothesis of extended cognition

This paper examines the justification for the hypothesis of extended cognition (HEC). HEC claims that human cognitive processes can, and often do, extend outside our head to include objects in the environment. HEC has been justified by inference to the best explanation (IBE). Both advocates and critics of HEC claim that we can infer the truth value of HEC based on whether HEC makes a positive or negative explanatory contribution to cognitive science. I argue that IBE cannot play this epistemic role. A serious rival to HEC exists with a differing truth value, and this invalidates IBEs for both the truth and the falsity of HEC. Explanatory value to cognitive science is not a guide to the truth value of HEC.     

江苏区域旅游游客满意度评价研究

游客满意是旅游市场竞争力的来源,是稳定规模化游客流的根本动力.运用灰色系统中灰色关联分析法,从交通、旅游景区(点)、购物、环境卫生、住宿、餐饮、娱乐、门票价格、导游讲解服务9个要素入手构建评价指标体系,以江苏12个省辖市为例,对游客满意度进行综合评价,揭示影响游客满意度众多指标之间关系的强弱,对12市游客满意度的优势劣势分析,并进行排序,得出江苏区域旅游游客满意度4个层次:镇江、扬州满意度最高,苏州、常州次之,南京、无锡、徐州、南通为第三层次,泰州、盐城、连云港和淮安最低。     

数字经济中基于察觉-动机-能力模型的创新扩散机制

数字经济时代下,创新扩散的模式和机制正随着经济环境的变化发生重大变化.鉴于此,本文对数字经济中的创新归纳出信息数字化、组织网络化、用户参与化等特征,基于察觉-动机-能力分析模型对创新的扩散机制进行过程建模,并基于多智能体仿真分析创新扩散.仿真结果表明,随着信息数字化的发展,创新扩散的网络分布不均匀性增加,引起信息资源高...     

认知和心智的边界——当代认知系统研究概观

传统认知主义不自觉地以为发生在头脑中的认知过程对整个认知任务的认知实现是充分的。然而,随着认知任务的难度和复杂性的增加,人们开始意识到认知任务的实现须依赖更广泛的系统条件;这使得系统性成为20世纪50年代以来认知研究的一个基本维度,并因此引发了关于心智和认知的本性及其边界的广泛的争论。     

高速公路网管理单元实时安全可靠度研究

高速公路运营安全性是实现高速公路高效运营的基本前提，本文提出采用实时安全可靠度来表征高速公路网管理单元的运营安全性。首先，根据研究目的，提出了高速公路网管理单元划分方法。然后，本文将高速公路网管理单元实时安全可靠度分为静态安全可靠度SS[i,t]和动态安全可靠度SD[i,t]，静态安全可靠度采用模糊综合评判方法确定，动态安全可靠度在分析单车行车风险的基础上，采用可靠性图能分析方法确定。最后，本文通过算例，将实时安全可靠度的计算方法加以说明。     

航片数字地图的制作与定位技术研究

在分析一般数字地图制作方法基础上,研究了航片数字地图的制作与定位技术,提出了一种适合无人机目标定位系统的航片数字地图制作与定位方法,并对地图的定位精度作了详细分析,通过提高参考点与采样点的量测精度和扫描分辨率,可以有效地提高航片数字地图的定位精度.     

Cooperative Sensor Anomaly Detection Using Global Information

Sensor networks are deployed in many application areas nowadays ranging from environment monitoring, industrial monitoring, and agriculture monitoring to military battlefield sensing. The accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network. Therefore, this work is motivated to propose approaches that can detect and repair erroneous (i.e., dirty) data caused by inevitable system problems involving various hardware and software components of sensor networks. As information about a single event of interest in a sensor network is usually reflected in multiple measurement points, the inconsistency among multiple sensor measurements serves as an indicator for data quality problem. The focus of this paper is thus to study methods that can effectively detect and identify erroneous data among inconsistent observations based on the inherent structure of various sensor measurement series from a group of sensors. Particularly, we present three models to characterize the inherent data structures among sensor measurement traces and then apply these models individually to guide the error detection of a sensor network. First, we propose a multivariate Gaussian model which explores the correlated data changes of a group of sensors. Second, we present a Principal Component Analysis (PCA) model which captures the sparse geometric relationship among sensors in a network. The PCA model is motivated by the fact that not all sensor networks have clustered sensor deployment and clear data correlation structure. Further, if the sensor data show non-linear characteristic, a traditional PCA model can not capture the data attributes properly. Therefore, we propose a third model which utilizes kernel functions to map the original data into a high dimensional feature space and then apply PCA model on the mapped linearized data. All these three models serve the purpose of capturing the underlying phenomenon of a sensor network from its global view, and then guide the error detection to discover any anomaly observations. We conducted simulations for each of the proposed models, and evaluated the performance by deriving the Receiver Operating Characteristic (ROC) curves.     

广东省普通高校大学生网球运动开展现状分析与对策研究

本文针对广东省普通高校大学生网球运动发展的现状，以广东省普通高校体育部主任、网球教师、网球教练、队员、学生以及有关的专家为调查对象。运用文献资料法、问卷调查法、访谈法、座谈法、观察法、数理统计法与理论分析法等对广东省普通高校大学生网球运动开展的现状进行调查研究，并提出建议，为广东省普通高校大学生网球运动的健康发展提供依据。     

“学导式”与电教巧结合法突破重难点的探索和实践

一堂课的成败,整个教学的得失,关键就在于是否处理好教材中突出重点,突破难点,释化疑点这一问题。教学重点是教材中起关键作用、主要作用并具有现实意义的知识内容,或者说某知识点在某课、节、框中最基本、最重要的原理。思想政治课的教学重点是指在整个教学内容中,具有决定作用的基本理论观点和德育课题。从教材体系看,它占有重要地位;从当前形势和学生的思想实际看,它是不容忽视的。教学难点,一般说来是因为某个知识点或环节比较抽象,不易理解,且知识面广而深的问题;有的是知识内容相近、相似而容易引起混淆的问题;教学重点和难点有时是重合的。由于教材的重、难、疑点在整个教学中所处的地位,所以教师要探讨和把握突出重点、突破难点、释化疑点的教学方法,才能使思想政治课真正地活起来。