Paramedics on the job: Dynamic trunk motion assessment at the workplace

Many paramedics' work accidents are related to physical aspects of the job, and the most affected body part is the low back. This study documents the trunk motion exposure of paramedics on the job. Nine paramedics were observed over 12 shifts (120 h). Trunk postures were recorded with the computer-assisted CUELA measurement system worn on the back like a knapsack. Average duration of an emergency call was 23.5 min. Sagittal trunk flexion of >40° and twisting rotation of >24° were observed in 21% and 17% of time-sampled postures. Medical care on the scene (44% of total time) involved prolonged flexed and twisted postures (∼10 s). The highest extreme sagittal trunk flexion (63°) and twisting rotation (40°) were observed during lifting activities, which lasted 2% of the total time. Paramedics adopted trunk motions that may significantly increase the risk of low back disorders during medical care and patient-handling activities.     

民族文化差异与日用陶瓷的文化营销

在经济全球化的背景下,由于民族文化、区域文化差异性和多样性的存在,日用陶瓷企业在开展国际营销活动时需要一个行之有效的营销策略。本文通过分析民族文化差异,为日用陶瓷企业实施国际文化营销提供一些建议。     

Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

Epilepsy is a neurological disorder which is characterized by transient and unexpected electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used signal for detection of epileptic seizures. This paper presents a new method for classification of ictal and seizure-free EEG signals. The proposed method is based on the empirical mode decomposition (EMD) and the second-order difference plot (SODP). The EMD method decomposes an EEG signal into a set of symmetric and band-limited signals termed as intrinsic mode functions (IMFs). The SODP of IMFs provides elliptical structure. The 95% confidence ellipse area measured from the SODP of IMFs has been used as a feature in order to discriminate seizure-free EEG signals from the epileptic seizure EEG signals. The feature space obtained from the ellipse area parameters of two IMFs has been used for classification of ictal and seizure-free EEG signals using the artificial neural network (ANN) classifier. It has been shown that the feature space formed using ellipse area parameters of first and second IMFs has given good classification performance. Experimental results on EEG database available by the University of Bonn, Germany, are included to illustrate the effectiveness of the proposed method.     

Cloud based intelligent system for delivering health care as a service

The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity.     

基于轨迹频率抑制的轨迹隐私保护方法

移动终端和定位技术的快速发展带来了轨迹大数据.研究者通过挖掘和分析发布的轨迹数据集,可获得一些有价值的信息.攻击者也可利用所掌握的知识对发布的轨迹数据集进行推理分析,以较高的概率推断出用户的隐私信息.轨迹抑制是一类实现隐私保护的重要方法,然而轨迹抑制的点数越多会造成数据效用越低.因此,在满足用户隐私需求的情况下,如何选择合理的抑制点来提高匿名处理后的数据效用是数据发布中要解决的重要问题.针对以上问题,文中提出两种基于轨迹频率的方案对轨迹数据进行匿名处理.第一种方案是根据情况抑制整条有问题的轨迹数据或向有问题的轨迹数据集中添加假数据;第二种方案是采用特定的轨迹局部抑制法对数据进行抑制处理.实验表明相对于已有方案,在满足同等隐私需求的情况下,文中方案处理后的数据效用提升了近30%.     

国产耐火砖在德士古水煤浆气化炉的使用

分析气化炉耐火材料损蚀原因及国产耐火砖在德士古水煤浆加压气化炉中的使用情况，使用结果证明，国产耐火砖可以替代进口砖，每年节约设备投资600万元左右。     

一种融合服务满意度的多因素感知云服务性能预测策略

提出了一种多因素感知的云服务性能预测策略,它基于综合权衡服务提供商的利益,通过合理定价和性能保障来量化和优化服务满意度,并以之驱动性能预测,并引入效用理论实现服务满意度的合理定价.最后通过模拟实验表明,它能够降低SLA破坏率,有效提高云服务的资源利用率.     

尾部烟气增湿活化脱硫原理性研究

论述应用大速差射流的尾部烟气脱硫增湿活化原理怀试验台架及其系统，试验结果及分析，在尾部烟气中ＳＯ２气体直接与固相脱硫剂（ＣａＯ粉及Ｃａ（ＯＨ）２粉）反应能力很弱；ＳＯ２气体直接与水滴反应生成Ｈ２ＳＯ３的能力也能弱，它受到ＳＯ２气体在水中溶解能力的限制；增湿活化的机理在于水滴与脱硫剂粒子碰撞后在其表面生在液态Ｃａ（ＯＨ）２离子膜，由它与ＳＯ２气体反应脱硫。因此，良好的活化反应器必须具有良好的水滴与脱     

二维多层次的云服务可靠性评估方法研究

针对云服务业务流程管理的特点, 给出了云服务的组合实现框架; 依据随机Petri网的建模理论, 探讨了组合云服务流程网模型的细粒度建模方法; 根据动态多变的用户需求, 设计了二维多层次的云服务组合可靠性动态评估框架, 并给出了马尔可夫过程和等值约简的两种可靠性计算方法。应用示例分析结果表明, 该方法具有较好的动态适应性和灵活性, 能有效满足云服务的可靠性评估需求。     

双渠道供应链中服务对定价和需求的影响研究

研究了集中式决策和基于Stackelberg博弈这两种情况下的双渠道供应链的定价、服务及需求的关系。制造商和零售商提供的服务对价格、需求会产生影响,渠道商改善服务有利于本渠道价格的提高,同时会影响到另一渠道的定价,影响程度与双渠道决策模式相关。与服务对定价的影响不同,渠道商提供的服务对本渠道需求产生的影响是双向的,当服务水平在一定的范围内,改善服务可以增加本渠道市场需求,降低另一渠道需求;当服务水平过高,继续改善服务不仅不能增加需求反而减少需求,同时对另一渠道的需求产生影响,这种影响与消费者市场类型存在密切关系。当消费者市场属于价格敏感型时,服务水平存在一个帕累托区间,任一渠道商改善服务都会促进双渠道需求的增加。