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Search Results: 1 - 10 of 60915 matches for " 朱锴 "
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燃煤烟气CO2捕集技术的发展与应用
The Development and Application for CO2 Capture from Coal-Fired Flue Gas
 [PDF]

王海文, , 张俊杰, 任建兴
Advances in Environmental Protection (AEP) , 2016, DOI: 10.12677/AEP.2016.62004
Abstract:
CO2捕集技术主要有吸收分离法、吸附分离法、低温蒸馏法、化学循环燃烧、膜分离法、水合物等。本文对这些技术进行了分析比较,探讨了各技术的优缺点与适应场合。根据电厂燃煤烟气的特点,化学吸收法技术可靠性强、经济性高,能够满足发电厂对燃煤烟气捕集回收CO2以减少污染物排放的要求。
The technology of carbon dioxide capture mainly includes the methods of absorption separation, cryogenic distillation, chemical circulation combustion, membrane absorption and hydrate. Comparative analysis is made in this paper with focus on the characteristics and applicable ranges of these technologies. According to the characteristics of flue gas from coal-fired power plant, chemical absorption technology has the advantage of reliability and economy and achieves the goal of reducing carbon dioxide emissions.
电凝并技术脱除燃煤烟气中细颗粒物的研究与应用
Technology Research and Application of Electric Coagulation Removal of Fine Particulate Matter in Coal-Fired Flue Gas
 [PDF]

, 任建兴, 王海文, 张俊杰
Advances in Environmental Protection (AEP) , 2016, DOI: 10.12677/AEP.2016.64011
Abstract:
环境问题是目前人们面临的主要问题之一。本文研究分析了当前脱除可吸入颗粒物的控制方法:电凝并技术。根据电凝并除尘原理探讨了影响电凝并除尘效率的因素,主要包括:粒径大小、粉尘介电特性、交流电厂的频率、离子浓度等,得出了提高电凝并除尘效率的方法。
At present the problem environment is one of the main problems, which people have to solve. This paper studied and analyzed the current control method of removing particulate matter—Electric coagulation and technology. According to the principle of electric coagulation and dusting we discuss the influencing factors of electric coagulation and dust removal efficiency, which conclude dust particle size, dielectric properties, the frequency of the ac power plant, ion concentration and so on. People have found the method to improve the efficiency of coagulation and dust removal.
再热凝汽式汽轮机调速系统模型的仿真及验证
,晓星
热力发电 , 2014,
Abstract: 对某火电厂再热凝汽式汽轮机的调速系统参数进行测试,采用电力系统综合分析程序(psasp)的用户自定义建模功能(ud)建立了机组协调控制方式下的调速系统模型,并分别在功率及协调控制方式下,对机组调速系统参数测试的结果进行了仿真校验和现场试验。结果表明:该模型能够较好地与实际工况相吻合;调速系统的控制方式对发电机组的功率响应特性具有显著影响。
基于自适应均值漂移的超声心动图左心室分割方法
Left ventricle segmentation in echocardiography based on adaptive mean shift

,付忠良,陶攀,
- , 2018, DOI: 10.7507/1001-5515.201702037
Abstract: 利用超声心动图进行心室分割能够获得心室容积参数,对评价心功能有重要意义。但超声图像有噪声大、难以分割等特点,仅仅靠人工对目标区域进行手动分割工作量巨大,且目前自动分割技术尚无法保证分割精度。针对这些问题,本文提出了一种全新的算法框架对心室结构进行了分割提取。首先,采用更快速的基于区域的卷积神经网络目标检测算法对目标区域进行定位,得到感兴趣区域;然后使用 K 均值(K-means)算法对目标区域进行初始聚类;接着使用一种自适应核函数带宽的均值漂移(mean shift)算法进行分割;最后采用种子填充算法提取目标区域。该算法结构实现了自动提取分割目标区域,免去了人工定位的过程。实验表明,在定量评价标准下,这种分割框架能够对目标区域进行精确的提取,同时提出的自适应均值漂移算法较传统固定带宽均值漂移算法更稳定,且分割效果更好。研究结果显示,本文所述方法有助于实现超声心动图左心室切面的自动分割。
The use of echocardiography ventricle segmentation can obtain ventricular volume parameters, and it is helpful to evaluate cardiac function. However, the ultrasound images have the characteristics of high noise and difficulty in segmentation, bringing huge workload to segment the object region manually. Meanwhile, the automatic segmentation technology cannot guarantee the segmentation accuracy. In order to solve this problem, a novel algorithm framework is proposed to segment the ventricle. Firstly, faster region-based convolutional neural network is used to locate the object to get the region of interest. Secondly, K-means is used to pre-segment the image; then a mean shift with adaptive bandwidth of kernel function is proposed to segment the region of interest. Finally, the region growing algorithm is used to get the object region. By this framework, ventricle is obtained automatically without manual localization. Experiments prove that this framework can segment the object accurately, and the algorithm of adaptive mean shift is more stable and accurate than the mean shift with fixed bandwidth on quantitative evaluation. These results show that the method in this paper is helpful for automatic segmentation of left ventricle in echocardiography.
STUDIES ON THE TECHNIQUE OF FERMENTATION TO A NEW GENRE OF INSECTICIDE——SPINOSAD
新型杀虫剂——Spinosad发酵工艺的研究

陈晓霞,郭聆讯,张宇,
微生物学通报 , 2002,
Abstract: 采用60Co正交设计的方法 ,选择最优种子培养基配方和发酵培养基配方 ,在此基础上进行UV、60Co等诱变 ,得突变株 ,其发酵水平较原始菌株提高了 1 5 0 %。同时 ,对菌株的发酵接种量、发酵液处理及发酵曲线也作了研究。
新型杀虫剂——Spinosad发酵工艺的研究
陈晓霞,郭聆讯,张宇,
微生物学通报 , 2002,
Abstract: 采用^60Co正交设计的方法,选择最优种子培养基配方和发酵培养基配方,在此基础上进行UV,^60Co等诱变,得突变株,其发酵水平较原始菌株提高了150%,同时,对菌株的发酵接种量,发酵液处理及发酵曲线也作了研究。
Study on Combined Classifier Based on Error Analysis
基于误差分析的组合分类器研究

陈学泓,陈晋,杨伟,
遥感学报 , 2008,
Abstract: Remote sensing iswidely used inmapping land use /land cover types and monitoring land use /land cover changes from regional to global scale. Supervised classificationmethod is a powerful tool in extracting land cover and land use information from remotely sensed mi ages. Although many supervised classification method have been developed in machine learning field, there are not a universal best performingmethod yet. That is, different kinds of classification methods have theirown advantages and defects. Thisphenomenon is called selective superiority. It isnecessary to explore amethod thatcan integrate advantagesofdifferentclassifiers and avoid theirweakness. Combining classifiersproperlymay mi prove classification accuracy, because different classifiersmay have differentmistake sets. Combined classifiers have been studiedwidely inmachine learning field; however, itwas seldom studied in remote sensing mi age classification. This paper proposed one type of combined classifier based on error analysis, which incorporates the rule outputs ofmaxmi um likelihood classification (MLC) and supportvectormachine (SVM), to achieve higher classification accuracy. MLC is themostwidely used classificationmethod in computer processing of remotely sensed mi ages. It is based on classical statistical theory and has solid probabilitymeanings. However, the classified accuracy of thismethod would be affected seriously if the training sample distribution does not follow normal distribution. SVM is a newly developed classifier, which is based on statistical learning theory. SVM is robust for small sample, and it has shown a good performance inmany studies. However, the originalSVM classifier is a binary classifier, which needs to be extended to a multi-class classifier through extraworks. How to effectively extend binary SVM tomulti-class classification is still an on- going research issue and itprobably affect the performance ofSVM. The newmethod proposed in thispaper firstestmi ates the errorsoftwo classifiers, which are denoted by the confidence intervalsofrule outputs, then combines their rule outputs withweights depending on the confidence intervals, and finally acquires a more accurate rule output. Classification expermi entswere conducted on case study area (Summer Palace area in Beijing). Classification accuracies of the combined classifier and two single classifiers were compared with different sample distribution and different sample amount. And the results demonstrated that the new combined classifier can acquire a higher accuracy than other two classifiers. The results also revealed that combined classifier performs betterwhen two classifiers aremore independent. Another compared expermi entwas done between new combined classifier and previous combined classifier by averaging, and resultalso showed thatnewmethod had betterperformance. However, there are still some defects in the newmethod. Firstly, error analysis is not completely finished for the two classif
f -3 项与投影函数对电离层延迟的影响
郑 磊,,李征航,
大地测量与地球动力学 , 2008,
Abstract: 依据Chapman正常电离层理论,构造Chapman剖面函数加权投影函数,给出VTEC三角多项式模型,并以武汉站2005年1月1日观测数据进行实例解算,分析电离层延迟 f -3 项、电离层单层高度、电离层投影函数形式等对电离层延迟的影响。
三峡库区区域经济形势及其发展战略探讨
,,王强,袁超
长江流域资源与环境 , 2011,
Abstract: 长江三峡工程是举世瞩目的大型水利水电工程,库区的经济发展问题与相关生态环境问题同样引人关注。三峡库区经济的发展不仅有利于整个长江上游地区的全面发展,而且关系到库区百万移民的生计和社会稳定的大局。基于区域经济理论,运用SWOT方法对三峡库区经济发展的现状进行了分析评价。通过库区经济发展优势、劣势、机遇和挑战因素的客观分析,结果发现,特色生态农业、沿江旅游、物流业将成为库区产业的优先发展方向,与民生相关的移民安稳致富、城乡统筹发展等政策则成为库区经济战略的重要选择。旨在进一步整合库区资源、优化产业结构、提高经济增长质量、提升整体经济实力,为库区制定具针对性的区域经济发展战略提供有益参考。
基于WebGIS三峡干流水质模拟平台研究
,,,,吴炳方,,
长江流域资源与环境 , 2012,
Abstract: 三峡蓄水成库后仍属于典型的河道型水库,其总体水流、水质运动特性符合一维水流水质运动规律。针对三峡库区总体水流、水质运动特性,采用一维水流水质模型对三峡库区水流和水质进行了模拟。以该模型为核心,利用WebServices技术开发并在互联网上发布了模型服务,在此基础上采用成熟的WebGIS和富客户端Flex等技术构建了适用于三峡库区的干流水质模拟平台;能够实现包括各计算断面流速、流量、水位以及污染物浓度时空过程在内的三峡库区干流流速场和浓度场的数值模拟。以库区干流清溪场至十里铺断面内的江段作为模拟实例,利用该平台模拟计算江段内水流和水质状况,并以水文水质同步观测数据对模拟结果进行验证,结果表明其具有较好的模拟效果;为三峡库区污染物总体输移扩散特性研究提供了有利工具,同时也为国家和地方政府进行库区水环境决策提供了技术支持
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