卡拉贝利水利枢纽工程坝体填筑优化设计

新疆卡拉贝利水利枢纽工程因泄洪排沙放空洞工程工期滞后一年多,对工程截流及后续坝体施工项目进度产生了重大影响。通过坝体填筑方案的优化设计,不仅使坝体度汛、坝体填筑及蓄水目标能够按照原定进度实现,还节省了工程投资,得到了建设单位、设计单位的一致认可,为土石坝工程施工积累了经验。     

红外球形摄像机补光系统的设计与实现

为解决目前红外球形摄像机普遍存在的红外灯板发热严重、近距离采集图像容易出现中心过曝等问题,搭建了以STM32F103为主控芯片、以PT4115为红外灯调光芯片的硬件电路,设计了一种基于红外灯亮度与镜头倍率匹配算法的新型红外球形摄像机补光系统,实现了在红外灯板上对多个串联红外灯的PWM智能调光。通过实验证明,该设计可以有效节约功耗、降低发热,提高了红外灯板的稳定性,从而提高红外球形摄像机的夜视监控效果。     

基于SystemVerilog可重用测试平台的实现

对于中小型设计,传统的验证效率低、可重用性差,而基于方法学的高级验证测试平台搭建较繁琐,验证流程不太灵活。以ARINC429收发器IP核为验证对象,采用System Verilog语言,通过层次化设计,改善工程组织架构,运用虚接口与回调等关键技术,实现了一种可重用测试平台。将不同的测试案例在测试平台上运行,结合断言与覆盖率驱动等验证技术完成了对ARINC429收发器IP核的功能验证,代码覆盖率和功能覆盖率均达到100%。实践表明,该测试平台具有良好的可重用性、易操作性,验证效率较高。     

Some Results for Pythagorean Fuzzy Sets

Pythagorean fuzzy sets (PFSs), originally proposed by Yager (Yager, Abbasov. Int J Intell Syst 2013;28:436–452), are a new tool to deal with vagueness considering the membership grades are pairs satisfying the condition . As a generalized set, PFSs have close relationship with intuitionistic fuzzy sets (IFSs). PFSs can be reduced to IFSs satisfying the condition . However, the related operations of PFSs do not take different conditions into consideration. To better understand PFSs, we propose two operations: division and subtraction, and discuss their properties in detail. Then, based on Pythagorean fuzzy aggregation operators, their properties such as boundedness, idempotency, and monotonicity are investigated. Later, we develop a Pythagorean fuzzy superiority and inferiority ranking method to solve uncertainty multiple attribute group decision making problem. Finally, an illustrative example for evaluating the Internet stocks performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.     

Incorporating Intra‐Query Term Dependencies in an Aspect Query Language Model

Query language modeling based on relevance feedback has been widely applied to improve the effectiveness of information retrieval. However, intra‐query term dependencies (i.e., the dependencies between different query terms and term combinations) have not yet been sufficiently addressed in the existing approaches. This article aims to investigate this issue within a comprehensive framework, namely the Aspect Query Language Model (AM). We propose to extend the AM with a hidden Markov model (HMM) structure to incorporate the intra‐query term dependencies and learn the structure of a novel aspect HMM (AHMM) for query language modeling. In the proposed AHMM, the combinations of query terms are viewed as latent variables representing query aspects. They further form an ergodic HMM, where the dependencies between latent variables (nodes) are modeled as the transitional probabilities. The segmented chunks from the feedback documents are considered as observables of the HMM. Then the AHMM structure is optimized by the HMM, which can estimate the prior of the latent variables and the probability distribution of the observed chunks. Our extensive experiments on three large‐scale text retrieval conference (TREC) collections have shown that our method not only significantly outperforms a number of strong baselines in terms of both effectiveness and robustness but also achieves better results than the AM and another state‐of‐the‐art approach, namely the latent concept expansion model. © 2014 Wiley Periodicals, Inc.     

一种基于潜在引用网络的专利价值评估方法

专利价值指的是在专利购买交易时的交换价值,它可以为专利的拥有者和购买者提供大量关于专利的珍贵信息,为专利的交易提供决策支持。目前的专利价值评估主要是基于训练或引用的方法。前者过于依赖于人工选择的参数,导致专利价值评估结果的可信度较低;后者往往只考虑了直接引用关联,而忽略了间接引用关联和新颖度对专利价值的影响。针对这些问题,提出一种基于潜在引用网络的专利价值评估方法,并设计了相应的算法来评估各个专利的价值。针对基本算法效率较低的问题,提出了专利价值评估改进算法,极大地提高了专利价值评估的效率。最后,由于新专利加入专利集合时各个专利的价值会发生变化,提出了专利价值评估动态更新算法,用于快速地更新各个专利的价值。实验表明,提出的方法是有效的。     

开放式数控系统网络接口技术研究

数控系统网络接口技术是实现数控机床实时信息采集的基础,是确保数控系统开放式、网络化及智能化的关键技术.通过对数控系统传统信息采集接口和基于网络的MTConnect标准的对比研究,基于后者在兼容性、跨平台性、可读性方面存在的优势,围绕开放式数控系统体系框架,本文设计一种基于MTConnect标准的开放式数控系统网络采集接口.同时,为兼容传统信息采集接口,提出一种可拓展的通用接口架构,阐述架构间模块的功能及互联方式,并从数控系统数据项抽取、数据项适配器(Adapter)、接口代理(Agent)等方面重点阐述接口的设计.最后,在自主研发的数控系统上实现网络接口,并对相关时间延迟开展了测试与分析,表明了该通用接口的正确性与实用性.     

双弯管法煤粉质量流量检测

双弯管法是一种基于弯管单相流测量原理的气固两相流固相质量流量测量方法,其测量结果与输入参数间非线性关系非常复杂,直接影响其测量精度.在双弯管法固相质量流量测量原理基础上,利用人工神经网络优良的非线性映射能力,建立了一种带有附加动量项的BP神经网络软测量模型,并在气固两相流测量实验平台上进行了实验研究.以实验数据为样本对双弯管法软测量模型进行训练,仿真结果与实验数据一致性较好,测量误差小于6％,为煤粉质量流量实时在线测量提供了一种行之有效的方法.     

降低高分子电容式湿敏元件湿滞的实验研究

针对高分子电容式湿敏元件的湿滞无法通过后续电路完全实现补偿的问题,提出了从高分子电容式湿敏元件本身降低湿滞的方法。主要从制作工艺、湿敏材料的选择两方面进行了实验验证,并对制作完成的高分子电容式湿敏元件进行性能测试与数据分析。实验结果表明：通过控制制作工艺和对湿敏材料进行改性可以降低湿滞,湿滞优于1.5%RH。采用该方法制作的湿敏元件无需再次通过后续电路进行湿滞补偿。