一种新型气硬冷芯盒树脂砂工艺试验及其在生产中的应用

原砂加入2．5％水溶性酚醛树脂，固化剂为甲酸甲脂，加入量占树脂的30％～40％。先把甲酸甲脂在气体发生器中气化，然后再与40％的压缩空气混合，吹气硬化制芯，最高抗拉强度1．2MPa，抗压强度0．32MPa，发气量12mL／g。生产浇注试验表明：砂芯表面光洁，轮廓清晰，尺寸精确，铸件缺陷少，无毒或低毒，和一般冷硬树脂砂比较，成本降低30％。     

液态铝合金表面张力快速检测新方法与装置

表面张力是液态合金的重要物性参数之一,铝合金表面张力与其变质处理效果及充型能力等质量参数密切相关,研究铸造铝合金表面张力快速检测方法及装置,对于开发铝合金熔炼质量炉前实时评价系统具有非常重要的实际意义.介绍了一种液态铝合金表面张力快速测试的新方法和新装置,新方法以固定时间内吹入被测液体的气泡个数以及气泡在生长过程中内部压差变化为信息参数,通过回归公式求解表面张力.基于该方法研制的表面张力新型测试装置由单片机测控单元、探头及其锁紧和升降机构、供气单元等部分构成.采用新装置可在5 s内测得铝合金表面张力,且具有较高的测试精度.     

高线粗中轧机"浮动"检测结构设计及故障排除

为克服轧制中因机架锁紧功能降低而产生的机架沿轨座轴向移动的"浮动"现象,对其产生原因进行了分析,并通过改进锁紧装置结构及相关部件,使"浮动"故障得到预防和有效控制并及时排除。     

浅谈基坑支护的有关技术问题

随着我国社会建设的持续推进,基坑工程数量急剧增加,基坑工程所处的地质条件、周边建筑物、通行道路及地下设施等外部环境越来越趋于复杂,明挖缓坡基坑趋于减少,基坑开挖后要保证周围建筑物、道路正常通行等要求的基坑工程数量趋于增多。基坑支护的安全性直接威胁到周边建筑物、道路、地下室及施工人员的安全,基坑一旦失稳,很可能会造成巨大的人员和财产损失,对社会安定造成重大影响。因此,基坑支护工程是基坑工程中的重中之重,需要设计、施工、监理及有关管理部门高度重视。     

Genetic algorithm‐based neural‐network modeling approach applied to AlGaN/GaN devices

An accurate equivalent circuit large‐signal model (ECLSM) for AlGaN‐GaN high electron mobility transistor (HEMT) is presented. The model is derived from a distributed small‐signal model that efficiently describes the physics of the device. A genetic neural‐network‐based model for the gate and drain currents and charges is presented along with its parameters extraction procedure. This model is embedded in the ECLSM, which is then implemented in CAD software and validated by pulsed and continuous large‐signal measurements of on‐wafer 8 × 125‐μm GaN on SiC substrate HEMT. Pulsed IV simulations show that the model can efficiently describe the bias dependency of trapping and self‐heating effects. Single‐ and two‐tone simulation results show that the model can accurately predict the output power and its harmonics and the associated intermodulation distortion (IMD) under different input‐power and bias conditions. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.     

漏电保护器投运难题的解决方案

分析剩余电流动作保护装置的常见故障,编制常见故障排查口袋书,采取简单易懂、能按图索骥的快速查找方法,破解剩余电流动作保护装置投运难题.     

Business intelligence approach to supporting strategy-making of ISP service management

The recent deregulation of telecommunication industry by the Taiwanese government has brought about the acute competition for Internet Service Providers (ISP). Taiwan’s ISP industry is characterized by the heavy pressure for raising revenue after hefty capital investments of last decade and the lack of knowledge to develop competitive strategies. To attract subscribers, all ISP dealers are making an all-out effort to improve their service management. This study proposes a Business Intelligence process for ISP dealers in Taiwan to assist management in developing effective service management strategies. We explore the customers’ usage characteristics and preference knowledge through applying the attribute-oriented induction (AOI) method on IP traffic data of users. Using the self-organizing map (SOM) method, we are able to divide customers into clusters with different usage behavior patterns. We then apply RFM modeling to calibrate customers’ value of each cluster, which will enable the management to develop direct and effective marketing strategies. For network resource management, this research mines the facility utilization over various administrative districts of the region, which could assist management in planning for effective network facilities investment. With actual data from one major ISP, we develop a BI decision support system with visual presentation, which is well received by its management staff.     

基于方案本体的决策模型组装

决策模型组装是智能决策系统中的重要功能。基于本体的决策模型组装在模型之间的匹配上提供了丰富的语义信息,但本体推理的效率造成的响应速度较慢依然是需要解决的问题。本文提出一种基于方案本体的决策模型组装方法,可有效地减少本体建模的复杂度,并设计了相应的算法实现这种方法。     

Integrating scientific modeling and supporting dynamic hazard management with a GeoAgent-based representation of human–environment interactions: A drought example in Central Pennsylvania, USA

Recent natural disasters indicate that modern technologies for environmental monitoring, modeling, and forecasting are not well integrated with cross-level social responses in many hazard-management systems. This research addresses this problem through a Java-based multi-agent prototype system, GeoAgent-based Knowledge System (GeoAgentKS). This system allows: (1) computer representation of institutional regulations and behavioral rules used by multiple social institutions and individuals in cross-level human–environment interactions, (2) integration of this representation with scientific modeling of dynamic hazard development, and (3) application of automated reasoning that suggests to users the appropriate actions for supporting cooperative social responses. This paper demonstrates the software architecture of GeoAgentKS and presents such an integrated approach by modeling the drought management processes in Central Pennsylvania, USA. The results show that it is possible to use GeoAgentKS to represent multilevel human–environment interactions and to use those interactions as input to decision making in hazard management.     

一种新结构的DM-multipath与动态负载平衡

对于存储设备,Linux 在多路径 I/O方面主要有两种类型的解决方案：位于I/O调度器之上的顶层方案(BIO映射器)和位于底层的子系统具体方案(如IDE,SCSI)。因为实施它们的所在存储堆栈中的位置不同,每种方案各有优势。通过与第一种方案比较,介绍具体硬件子系统之上的另一种解决方案,新结构中重点实现移动内核当前多路径层——多路径设备映射器 (dm-multipath)到I/O调度层之下,这种方案能够有效地支持动态的负载平衡。