Infrared Image Series Automatic Registration and a History & Tendency Analysis

Infrared camera has been widely used in electrical power systems for predictive and preventive thermal fault diagnosis. Without historical IR images being considered, most thermograph analysis used at present are concerned with static image. The dynamic history and tendency analysis which compares the newly taken image with historical images is particularly attractive. Conclusions can be drawn from temperature variations rather than just from anomalous thermal pattern. However the spatial distortions prevent such dynamic analysis from being practicable. So the need to register infrared images arises. This paper proposes an automatic registration algorithm based on closed temperature contour matching for infrared image series of a target equipment taken at different times. Centroid Distance Function is used in image registration for the first time. The algorithm can remove spatial distortions, bring temperature variations into prominence and endow infrared camera with dynamic analysis ability. Experiment shows that the algorithm is simple, effective and extensible.     

High-dimensional MRI data analysis using a large-scale manifold learning approach

A novel manifold learning approach is presented to efficiently identify low-dimensional structures embedded in high-dimensional MRI data sets. These low-dimensional structures, known as manifolds, are used in this study for predicting brain tumor progression. The data sets consist of a series of high-dimensional MRI scans for four patients with tumor and progressed regions identified. We attempt to classify tumor, progressed and normal tissues in low-dimensional space. We also attempt to verify if a progression manifold exists—the bridge between tumor and normal manifolds. By identifying and mapping the bridge manifold back to MRI image space, this method has the potential to predict tumor progression. This could be greatly beneficial for patient management. Preliminary results have supported our hypothesis: normal and tumor manifolds are well separated in a low-dimensional space. Also, the progressed manifold is found to lie roughly between the normal and tumor manifolds.     

戈枕水利枢纽工程混凝土施工配合比的优化

戈枕水利枢纽工程通过优化调整混凝土施工配合比,改变了混凝土观感,降低了单方成本,有效延缓并降低了坝体内部混凝土水泥水化热温升。通过工程实例,强调了优化混凝土施工配合比的重要性。     

汉语框架自动识别中的歧义消解

该文研究了汉语框架自动识别中的歧义消解问题,即对给定句子中的目标词,基于其上下文环境,从现有的框架库中,为该目标词自动标注一个合适的框架。该文将此任务看作分类问题,使用最大熵建模,选用词、词性、基本块、依存句法树上的若干特征,并使用开窗口技术和BOW策略,以目前汉语框架语义知识库中的88个词元的2 077条例句为训练、测试语料,进行了3-fold交叉验证实验,最好结果取得69.28%的精确率(Accuracy)。     

D315大孔弱碱性阴离子交换树脂在柠檬酸精制中的应用

选用多种弱碱性阴离子交换树脂去除柠檬酸解液中ＳＯ＾２－４，Ｃｌ＾－等阴离子，比较其交换容量，柠檬酸的回收率，再生性能，机械强度等，实验表明，Ｄ３１５弱碱性树脂的效果明显优于其他几种树脂。     

基于FPGA的Intel 8254的设计与实现

针对Intel 8254在某些工程应用中的局限性,提出利用FPGA和VHDL语言实现8254的设计思想;按照8254的内部逻辑结构及功能,将VHDL设计分为4个独立的功能模块,并分别介绍了各个功能模块的主要设计要点;以Altera公司的FPGA(Cyclone)系列产品为载体,在QuartusⅡ开发环境下,进行仿真和下载验证,效果良好;结果表明,利用FPGA设计并实现8254芯片功能具有可行性,同时,采用FPGA设计方法可以根据实际应用需求对芯片功能进行取舍和优化,因而具有更好的灵活性。     

Characterization of Spartina alterniflora as feedstock for anaerobic digestion

Smooth cordgrass (Spartina alterniflora), a saltmarsh plant with high production, was characterized for its potential for use as feedstock for anaerobic digestion processes. The anaerobic digestibility and biogas yield of S. alterniflora were evaluated by anaerobic batch digestion experiments performed at 35 ± 1 °C at initial volatile solids (VS) of 6%. The nutrient content analysis indicated that S. alterniflora contained the required nutrition for anaerobic microorganisms, but its high C/N of 58.8, high K and Na contents of 8.1, 22.7 g kg^?1, respectively, may be disadvantageous to its anaerobic digestion. The cumulative biogas yield was determined to be 358 L kg^?1 VS and the biodegradation efficiency was 45% after 60 days of digestion. The methane content of biogas increased from 53% on day 3 to around 62% after 13 days of digestion. The changes of volatile fatty acids (VFAs) indicated that the acidification of S. alterniflora was propionate-type fermentation with proportion of acetate and propionate ranging from 54.8% to 98.4%, and the hydrolysis of lignocellulose was the rate-limiting step for its anaerobic digestion. The analysis of cations suggested that K⁺ and Mg²⁺, with the maximum concentration of 1.35 and 0.43 g L^?1 in fermentation liquor, respectively, could be inhibitory to the anaerobic digestion of S. alterniflora. It is concluded that S. alterniflora can be transformed into clean energy by anaerobic digestion and the high contents of K, Na, Ca and Mg may be the inhibitory factors when S. alterniflora is digested by continuous or semi-continuous anaerobic process.     

基于“四轮驱动模式”的大学生创新能力培养模式研究与实践

立德树人是高校的根本使命。本科阶段是科研创新型人才培养的关键时期，而学科竞赛是提高本科生科研创新能力、培养创新型人才的重要环节。基于中国矿业大学力学与土木工程学院的多年实践经验，提出了以“学科竞赛+课程建设+大创项目+制度保障”四轮驱动模式的大学生创新能力培养模式，多层次、递进式地培养大学生的创新实践能力，也能够有效鼓励学生个性化发展，促使人才培养质量从“单一型、封闭型、知识灌输型”向“复合型、开放型、能力创新型”转化，真正树立起开拓创新的科学理念，最终达到“知识和技能传授”与“科研创新素质培养”并重的教学目的。     

水泥基胶凝材料水化放热行为的分析和试验研究

大体积混凝土结构中降低温度应力的关键是降低混凝土中胶凝材料水化热,所以研究掺硅灰、磨细矿渣、粉煤灰、膨胀剂胶凝材料体系的水化放热行为十分重要.首先在化学反应动力学原理基础上,采用微积分理论推导出水泥基胶凝材料恒温水化放热过程的统一表达式;然后用溶解法测试掺硅灰、矿粉、粉煤灰、膨胀剂胶凝材料体系的水化热,在试验的基础上分析加掺合料胶凝材料的水化放热行为.