Towards Automated Record Keeping, Interfaces for the Capture of Records of Business Processes

In June 1996, the National Archives of Canada issued its Guideline on the Management of Electronic Records in the Electronic Work Environment to all Canadian federal government institutions. Part of the Guideline contained a vision of automated record keeping in which records would be captured automatically based on the incorporation of record keeping rules in the design of automated work processes. As an illustration of this concept, the National Archives developed a demonstration prototype based on a project management work process situated within one of the operational activities of the department. This paper provides an overview of the prototype and an outline of both the lessons learned and the outstanding questions that have emerged concerning the feasibility of building an electronic work environment reflecting automated record keeping.     

不同界面上“Plyometric”训练对运动表现与肌肉损伤的研究进展及对运动训练的启示

采用文献资料法、逻辑分析法等探究硬地面与非硬地(水中、沙地)界面上进行“plyometric”训练对运动表现与肌肉损伤的影响,并提出运动训练实践建议。研究发现:硬地与水中plyometric训练均可以提高运动表现,且干预效果相似;硬地与沙地进行plyometric训练,均可以提高运动表现,不同的测试指标反向纵跳、蹲跳、垂直跳的干预效果存在异同。水中和沙地相对于硬地面进行plyometric训练可以明显较少训练后肌肉酸痛程度,降低运动损伤风险。硬地面适应机制:肌腱复合体和关节的训练适应机制;神经-肌肉对训练的适用机制等。水中和沙地的适应机制:“离心-向心”转化速度;神经冲动与适应机制等。对运动训练的建议:在水中进行plyometric训练时,水面一般在身体的腰部-胸部位置,水温的选择一般在27°C左右;水中、硬地plyometric训练的干预周期介于6-10周之间,每周干预频率介于2-3次之间;组合界面plyometric训练的相关研究文献较少,需进一步研究论证;当在硬界面时,中等负荷量可诱导出最佳的效果;在进行Plyometric训练时,强度比量更重要,且小强度优于大强度;不同年龄、性别进行Plyometric训练时,要选择适应的训练手段,水中和沙地面可以作为传统训练的替换手段。     

基于脑机接口技术的病房呼叫系统研究

针对有肢体障碍但大脑思维正常的患者,特别是重症患者使用病房呼叫系统不便的问题,提出了一种基于脑机接口技术的病房呼叫系统.该系统通过提取被试的脑电信号并进行处理来实现对病房呼叫系统按键开关的控制,当陪护人员不在病房时,一旦出现紧急情况,患者可以通过大脑想象手的运动来控制呼叫系统,达到自救目的.     

无线供能技术在智能轮椅供电系统中的应用

利用基于谐振的无线供能技术对智能轮椅进行无接触充电设计,并利用BCI技术实现对轮椅充电开关的控制,为有肢体障碍但脑部思维正常的人乘坐轮椅出行提供一种电能补充途径.     

Design issues for human-machine platform interface in cable-based parallel manipulators for physiotherapy applications

We outline problems and potential solutions for feasible human-machine interfaces using cable-based parallel manipulators for physiotherapy applications. From an engineering perspective, we discuss the design constraints related to acceptance by patients and physiotherapist users. To date, most designs have focused on mobile platforms that are designed to be operated as an end-effector connected to human limbs for direct patient interaction. Some specific examples are illustrated from the authors＇ experience with prototypes available at Laboratory of Robotics and Mechatronics （LARM）, Italy.     

基于局部线性嵌入算法的 SSVEP脑机接口系统研究

提出一个多频率刺激源诱发的稳态视觉诱发电位（SSVEP）脑—机接口系统,针对时域脑电信号特征维数过多等问题,采用一种局部线性嵌入算法（LLE）对经过预处理的脑电数据进行降维。实验结果表明,随着分析时间窗的增大,经典功率谱密度分析（PSDA）与典型相关分析（CCA）等方法相比,基于 LLE 的非线性数据降维方法具有一定优势。当时间窗为 1.65s 时,其分类准确率达 92.92%,信息传输率达 59.62 bits/min,远远优于其它方法。     

异构数据库间的数据交换研究

分析了多个异构数据库间数据共享的连接访问技术,指出了目前访问异构数据库系统所存在的问题,并提出了一种解决方案:在2个或多个异构数据库管理系统前端增加接口模块,数据交换双方经过约定,各自开发己方数据接口,首先信息发起方将自身访问信息形成统一格式的XML信息,然后将该信息发送给接收方。接收方将相应XML信息解析,形成自身格式信息后访问数据库得到所需信息,再将其形成XML信息回发给发起方,发起方再做相应的数据处理。这种方式可以是单向的,也可以是双向的。在整个数据交换的过程中双方不需知道对方具体的数据格式。这种方法解决了异构数据带来的一系列数据共享问题。     

脑机接口隐私风险治理

阐述脑机接口技术自身和技术应用可能带来的隐私风险,以及这种风险所带有的新特征,并试图从技术本身、法律与伦理这3个角度给出解决上述问题的框架.     

Individualization of data-segment-related parameters for improvement of EEG signal classification in brain-computer interface

In electroencephalogram (EEG) modeling techniques, data segment selection is the first and still an important step. The influence of a set of data-segment-related parameters on feature extraction and classification in an EEG-based brain-computer interface (BCI) was studied. An auto search algorithm was developed to study four datasegment-related parameters in each trial of 12 subjects’ EEG. The length of data segment (LDS), the start position of data (SPD) segment, AR order, and number of trials (NT) were used to build the model. The study showed that, compared with the classification ratio (CR) without parameter selection, the CR was increased by 20% to 30% with proper selection of these data-segment-related parameters, and the optimum parameter values were subject-dependent. This suggests that the data-segment-related parameters should be individualized when building models for BCI.     

CONTENTdm Digital Collection Management Software and End-User Efficacy

ABSTRACT

Digital libraries and collections are a growing facet of today's traditional library. Digital library technologies have become increasingly more sophisticated in the effort to provide more and better access to the collections they contain. The evaluation of the usability of these technologies has not kept pace with technological developments, however, and the end-user has in some cases been left behind. This research study evaluates the usability of digital collections created using the CONTENTdm Digital Collection Management System, a software system used by the University of North Carolina at Chapel Hill. Specifically, this study addresses the following questions: Does CONTENTdm meet users' needs? Is the interface sufficiently intuitive for them to use it? Is the experience of exploring digital collections using CONTENTdm satisfying to users? Employing usability testing techniques with actual-end users, this study attempts to assess the efficacy of the CONTENTdm public interface as well as user attitudes toward it. Ten participants from three user groups—faculty, library science graduate students, and the general public—performed eleven tasks designed to test the key functions of CONTENTdm-created collections and then answered a series of questions about their experiences. Key findings from this study indicate that while the included digital collections are useful and desirable to end-users, the interface generated by CONTENTdm can be confusing even for those who have considerable experience using the Internet. Results from this study may be used to improve this software system and add to the literature surrounding the usability of digital libraries in general.