基于K60可动态配置通用测控系统的应用研究

针对提高嵌入式系统的开发效率、减少系统开发时间和降低重复工作等问题,提出基于K60动态配置通用测控系统方案。首先,采用构件化设计思想和组态软件设计思想,将系统设计成不针对具体应用的硬件可裁减、软件可配置的通用型测控系统。其次,将系统的配置参数通过修改LCF链接文件定义成Flash变量,存储在可指定的Flash参数扇区中,可单独动态在线擦写参数区而不影响其他部分。最后,将此方案成功地应用到温室大棚环境测控系统中。实践结果表明,可配置的通用型测控系统方案具可行性和高效性。     

钢铁工业废气及PM_（2.5）排放特性与污染控制对策

钢铁行业在新的发展时期须从战略发展的高度制定行业废气污染控制的对策和技术路线。本文收集国际先进钢企主要废气污染物排放因子,对比分析中国钢企的排放水平,并按照国家新颁布的环境空气质量标准和行业污染物排放标准要求,进行行业全工序各主要污染物大气等标污染负荷分析,系统判别主要污染工序和重点污染物,明确主要控制方向;通过国内外文献资料的综合分析,重点介绍主要生产工序的颗粒物及细颗粒排放特性。针对国家当前节能减排要求和行业废气污染控制存在的问题,提出行业废气污染控制应从行业发展的多种需求整体出发,综合考虑行业布局调整、加快技术升级、注重前端和过程控制及末端治理强化多污染物协同控制的技术路线,最大限度地减轻行业的废气污染,并就深化行业废气污染控制提出相关建议。     

钱家营矿地表沉陷区综合治理问题的探讨

文中结合开滦钱家营矿区生态环境现状,对矿区地表沉陷情况进行综合分析,提出利用复垦土地搬迁村庄、利用积水沉陷区复垦成精养鱼塘、利用矸石加固维护河堤、铁路等综合治理沉陷区的方案.实现边生产、边复垦,建立新的生态环境,为地表沉陷区综合治理开辟一条新的技术途径.     

Cr12型模具钢成材工艺改进

本文从理论上分析了Cr12型冷作模具钢在加热和锻造过程中客易产生缺陷的原因，并结合其它钢种的联锻工艺特性，对Cr12型冷作模具钢的二火成材工艺进行了改进，改进后的工艺为“两锤联锻、一次成材”。工艺改进后，不但增加了锻材长度和提高了产品实物质量，而且降低了加工步骤费用和缓解了退火压力、为模具钢放量生产起到了显著的作用。     

苏丹共和国TUTI大桥缆索系统施工

简要介绍了苏丹共和国TUTI大桥缆索结构,以及主缆的架设、辅助猫道的架设及调整、索夹与吊索的安装等上部悬吊结构关键施工技术。     

一种铜铁铝复合载氧体化学链燃烧性能

利用溶胶-凝胶法制备了一种Cu-Fe-Al-O复合载氧体,以CO为还原介质,在固定床反应器上探究了该载氧体的化学链燃烧性能,以及4种还原程度下该载氧体的循环反应稳定性。结果显示：在20次化学链循环反应中,Cu-Fe-Al-O 复合载氧体对应的化学链反应中CO2产率较为稳定,约为4 mmol/g;而对比样品氧化铁在第20次化学链循环时,对应的化学链反应中CO2产率仅有0.95 mmol/g。进一步实验发现,当还原程度小于75%时,使用Cu-Fe-Al-O载氧体的化学链反应运行稳定,因为在氧化还原过程中,活性组分铜、铁与尖晶石载体存在溶出现象,限制了活性组分的聚集,因此,Cu-Fe-Al-O复合载氧体具有较高的化学链反应循环稳定性。     

双金属复合板冷轧变形行为的Avitzur上限模式分析

应用Avitzur上限理论建立双金属冷轧塑性变形模式的数学模型。应用此模型计算变形区域的速度场、能量消耗及轧制力的上限解等变形行为,给出相关参数的相应计算公式。应用这些理论公式对铝-钢复合板进行分析,计算与试验结果得到较好的吻合。分析模型能够很好地应用于模拟双金属冷轧过程,并能为双金属复合板的生产提供一些有益的理论依据。     

3D Macroscopic Architectures from Self‐Assembled MXene Hydrogels

Assembly of 2D MXene sheets into a 3D macroscopic architecture is highly desirable to overcome the severe restacking problem of 2D MXene sheets and develop MXene‐based functional materials. However, unlike graphene, 3D MXene macroassembly directly from the individual 2D sheets is hard to achieve for the intrinsic property of MXene. Here a new gelation method is reported to prepare a 3D structured hydrogel from 2D MXene sheets that is assisted by graphene oxide and a suitable reductant. As a supercapacitor electrode, the hydrogel delivers a superb capacitance up to 370 F g^?1 at 5 A g^?1, and more promisingly, demonstrates an exceptionally high rate performance with the capacitance of 165 F g^?1 even at 1000 A g^?1. Moreover, using controllable drying processes, MXene hydrogels are transformed into different monoliths with structures ranging from a loosely organized porous aerogel to a dense solid. As a result, a 3D porous MXene aerogel shows excellent adsorption capacity to simultaneously remove various classes of organic liquids and heavy metal ions while the dense solid has excellent mechanical performance with a high Young's modulus and hardness.     

State-of-art approaches for review spammer detection: a survey

E-commerce websites are now favourite for shopping comfortably at home without any burden of going to market. Their success depends upon the reviews written by the consumers who used particular products and subsequently shared their experiences with that product. The reviews also affects the buying decision of customer. Because of this reason the activity of fake reviews posting is increasing. The brand competitors of the product or the company itself may involve in posting fraud reviews to gain more profit. Such fraudulent reviews are spam review that badly affects the decision choice of the prospective consumer of the products. Many customers are misguided due to fake reviews. The person, who writes the fake reviews, is called the spammer. Identification of spammers is indirectly helpful in identifying whether the reviews are spam or not. The detection of review spammers is serious concern for the E-commerce business. To help researchers in this vibrant area, we present the state of art approaches for review spammer detection. This paper presents a comprehensive survey of the existing spammer detection approaches describing the features used for individual and group spammer detection, dataset summary with details of reviews, products and reviewers. The main aim of this paper is to provide a basic, comprehensive and comparative study of current research on detecting review spammer using machine learning techniques and give future directions. This paper also provides a concise summary of published research to help potential researchers in this area to innovate new techniques.