在转变教育教学理念，高等教育发展的新常态，创新驱动发展等重大战略下，结合学校实际发展，培养大学生创新意识，用高等教育教学理念的新常态探索，如何通过开放性实验室建设培养学生的创新思维、综合能力和开拓精神。针对开放实验室建设过程中的多元化的实践教学模式、实验项目规划、师资队伍的建设及开放式实验室管理等具体问题进行探讨，列举了建设过程中须要关注的方面和亟须解决的问题，提出了解决的方案。

In order to make embedded and mobile products become more energy-efficient and more environmentally friendly, this paper proposed that adjusting loop structure in program and enhancing program locality could optimize device’s memory-accessing operation,accordingly decreased storage system’s and embedded deviced’s power dissipation.These methods were applied to the breathing sounds dynamic analysis and respiratory function monitoring system in anesthesia surgery developed by the laboratory,then on the energy consumption simulator HMSim,four groups of experiments were made.The results show that every group’s power consumption decreases in different degree.According to the calculation of equivalent method,the largest ratio of energy saving can achieve up to 25 .84%.All these indicate that the methods described by this paper are feasible and effective for reducing device’s power consumption.

"电子技术基础"是电类专业重要的技术基础课,对学生工程应用能力的培养起着重要的作用。为了配合实施"卓越工程师教育培养计划",哈尔滨理工大学电工电子中心对"电子技术基础"课程实施了新一轮的课程体系和教学模式改革。实践证明,这些改革措施和做法有助于学生实践应用能力、思维开创性能力和创新性能力的培养,有效地提高了教育教学效果。

SUMMARYIn spite of numerous works studying file replication strategies on distributed systems, data management policies remain mostly handled by manual operators or very basic algorithms on production grids. Among other causes, this situation is due to the lack of models taking job reliability into account. In this paper, we study file replication using new metrics to evaluate the reliability of distributed storage configurations. A stateful storage availability model is introduced to cope with the inability of the stateless model to account for the commonsense intuition that limiting the number of storage hosts involved in the execution of an application improves reliability. We describe the job success probability and the brittleness entropy, a metric describing the uncertainty of the job failure rate associated to a storage configuration. Results, obtained on synthetic data and on traces extracted from the European Grid Infrastructure, show that the stateful model is more accurate than the stateless on real data, and that it can describe the consequences of limiting the number of storage hosts on application reliability. These findings open the door to the design of new file replication strategies taking storage availability into account. Copyright © 2014 John Wiley & Sons, Ltd.

目的 探讨计算机辅助诊断孤立性肺结节(SPN)对人工诊断的意义.方法 搜集经CT引导下肺组织活检穿刺病理证实的SPN 193例(恶性结节144例,良性结节49例),分析21项(实际应用20项)薄层CT指标(部位、长径、短径、形态、边缘、毛刺、晕征、分叶、棘突、空泡、空洞、细支气管气象、与血管关系、与胸膜关系、钙化、脂肪、卫星灶、透亮影、周围肺气肿、胸膜肥厚、密度).以CT引导下肺活检穿刺的病理结果为金标准,比较神经网络、支持向量机诊断模型及人工诊断3种方法对SPN的诊断效果.结果 神经网络模型诊断准确率71.5%,支持向量机诊断模型诊断准确率68.9%,人工诊断准确率80.3%;敏感性分别为84.0%、65.3%、91.0%;特异性分别为34.7%、79.6%、49.0%.结论 神经网络和支持向量机2种诊断模型对SPN的诊断有一定意义,但准确率低于人工诊断,还不能完全代替人工诊断.

In order to solve the difficulty of determining the growth rules in conventional regional growth algorithm and the slowly of support vector machine segmentation algorithm,an image segmentation method combined support vector machine and regional growth was proposed.Firstly,selected a certain numbers of sample point from target area and non-target area and trained the support vector machine classification,then used the trained classification search seed point and regional growing,the support vector machine classification was used as growth rules,the last,some necessary retrogressing were used for the edge and noise.The experimental results show that this algorithm is feasible and it performs better than conventional region growth segmentation algorithm and faster then conventional support vector machine segmentation algorithm.