I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments

Sensor Web Enablement (SWE) technologies have been successfully applied to a great variety of outdoor scenarios but, in practical terms, little effort has been applied for indoor environments, and even less in the field of industrial applications. This article presents an intelligent SWE application for an indoor and industrial scenario, with the aim of improving and increasing the levels of human safety. The base low-level architecture is built on top of wireless sensor networks (WSN) connected to a Sensor Observation Service (SOS). Higher layers in the architecture include services that make real time decisions based on the collected data. Both simulation and experimental results are presented. The paper shows the viability of our approach in terms of performance, scalability, modularity and safety.     

合成氨装置铜洗塔的技术改造

针对铜洗塔存在吸收液循环量不足等缺点,对其内件如填料、液体初始分布器和液体收集再 分布器等进行了技术改造。改造后,铜洗塔的生产能力提高20％以上。     

Examining the Effects of Conformal Terrain Features in Advanced Head‐Up Displays on Flight Performance and Pilot Situation Awareness

Synthetic vision systems (SVS) render terrain features for pilots through cockpit displays using a GPS database and three‐dimensional graphical models. Enhanced vision systems (EVS) present infrared imagery of terrain using a forward‐looking sensor in the nose of an aircraft. The ultimate goal of SVS and EVS technologies is to support pilots in achieving safety under low‐visibility and night conditions comparable to clear, day conditions. This study assessed pilot performance and situation awareness (SA) effects of SVS and EVS imagery in an advanced head‐up display (HUD) during a simulated landing approach under instrument meteorological conditions. Videos of the landing with various HUD configurations were presented to eight pilots with a superimposed tracking task. The independent variables included four HUD feature configurations (baseline [no terrain imagery], SVS, EVS, and a combination of SVS and EVS), two visibility conditions, and four legs of the flight. Results indicated that SVS increased overall SA but degraded flight path control performance because of visual confusion with other display features. EVS increased flight path control accuracy but decreased system (aircraft) awareness because of visual distractions. The combination of SVS and EVS generated offsetting effects. Display configurations did not affect pilot spatial awareness. Flight performance was not different among phases of the approach, but levels and types of pilot SA did vary from leg to leg. These results are applicable to development of adaptive HUD features to support pilot performance. They support the use of multidimensional measures of SA for insight on pilot information processing with advanced aviation displays. © 2012 Wiley Periodicals, Inc.     

一种合成聚焦的便携式B型超声成像方法

传统合成聚焦超声成像方法在图像重建过程中处理数据量较大,致使其在便携式B型超声设备中应用受限。针对该问题,提出一种基于压缩感知理论和合成聚焦波束形成算法的便携式B型超声成像方法(SFCS)。该方法通过对接收到的射频回波信号进行随机采样得到欠采样的测量信号,将测量信号经过合成聚焦波束形成处理获得欠采样的射频信号线,基于压缩感知的信号重构算法,由欠采样的射频信号线高质量地恢复信号后供后续成像处理使用。仿真实验结果表明,SFCS可有效地解决合成聚焦超声成像过程中数据量大的问题,从而在保证较高成像质量的前提下满足便携式B型超声设备小型化、低成本的技术要求,具有工程应用价值。     

自主创新,发展新型优质耐火材料

讨论了今后我国耐火材料品种、结构、调整、升级的问题,应当以自主创新为主旋律,充分利用资源优势发展有自己特色的新型质合成原料和高效制品,还介绍了近两三年来这方面的一些科技成果。     

锈蚀损伤混凝土管桩水平承载性状时变分析

为研究锈蚀损伤混凝土管桩的水平承载性状,依据Fick第二定律,建立了氯离子在混凝土管桩中的扩散方程,并结合初始和边界条件,得到扩散方程的解析解.依据厚壁圆筒模型,推导了钢筋混凝土管桩保护层锈胀开裂时的钢筋临界锈蚀深度.基于Faraday定律,对钢筋混凝土管桩保护层锈胀开裂时间进行了预测.并在此基础上,通过引入桩身抗弯刚度折减系数对海洋环境下锈蚀损伤钢筋混凝土管桩的桩身抗弯刚度的衰减规律进行了探讨,进而对海洋环境下锈蚀损伤钢筋混凝土管桩的水平承载性状的时变特性进行了分析.结果表明:海洋环境中氯离子侵蚀引起的钢筋锈蚀对钢筋混凝土管桩的水平承载性状有明显影响.随着暴露时间的延长,桩身抗弯刚度呈非线性衰减,桩身水平位移和桩身负剪力最大值逐渐增大,桩身弯矩逐渐减小.     

一种应用于噪声点分布密集环境下的噪声点识别算法

为了提高DBSCAN及其改进算法在噪声点分布密集环境下的噪声点识别率,通过结合PageRank算法思想及噪声数据分布密集的特点,构造簇间投票映射函数,提出了簇间投票噪声点识别算法-NoiseRank 。实验结果表明,在噪声点分布密集环境下,NoiseRank算法比DBSCAN算法具有更高的噪声点识别率。     

α－淀粉对合脂砂的改性作用及生产实践

针对合脂砂的缺点，尝试用α－淀粉对其改性，并成功应用于大批量生产。生产实践证明，α－淀粉是合脂砂较理想的改性材料。     

A flowchart‐based intelligent tutoring system for improving problem‐solving skills of novice programmers

Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem‐solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one‐to‐one personalized and adaptive teaching. In this paper, a novel Flowchart‐based Intelligent Tutoring System (FITS) is proposed benefiting from Bayesian networks for the process of decision making so as to aid students in problem‐solving activities and learning computer programming. FITS not only takes full advantage of Bayesian networks, but also benefits from a multi‐agent system using an automatic text‐to‐flowchart conversion approach for engaging novice programmers in flowchart development with the aim of improving their problem‐solving skills. In the end, in order to investigate the efficacy of FITS in problem‐solving ability acquisition, a quasi‐experimental design was adopted by this research. According to the results, students in the FITS group experienced better improvement in their problem‐solving abilities than those in the control group. Moreover, with regard to the improvement of a user's problem‐solving ability, FITS has shown to be considerably effective for students with different levels of prior knowledge, especially for those with a lower level of prior knowledge.