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响应面分析法优化稀土废水map沉淀法脱氮

环境工程学报 2013年第12期7卷 4748-4754页

作者：王浩成官文宋晓薇徐子涵蒙金结董传强桂林理工大学环境科学与工程学院桂林541006 桂林理工大学广西矿冶与环境科学实验中心桂林541006

经过预处理后的稀土生产废水,其氨氮浓度大幅降低,但并未达到中华人民共和国《稀土工业污染物排放标准》(GB26451-2011)中氨氮浓度限值。实验通过响应面分析法中的Box-Behnken实验设计(BBD),取pH、n(Mg)∶n(N)、n(P)∶n(N)3因素,采用Des... 详细信息

经过预处理后的稀土生产废水,其氨氮浓度大幅降低,但并未达到中华人民共和国《稀土工业污染物排放标准》(GB26451-2011)中氨氮浓度限值。实验通过响应面分析法中的Box-Behnken实验设计(BBD),取pH、n(Mg)∶n(N)、n(P)∶n(N)3因素,采用Design-Expert 8.0.6,建立合适的剩余氨氮浓度及剩余总磷浓度模型,得到回归方程,并分析模型各项指标,各因素及其相互作用对剩余氨氮浓度及剩余总磷浓度的影响。利用预测模型预测最佳实验条件,在最佳实验条件下验证预测结果,并对沉淀物进行X射线衍射(XRD)分析。结果显示,二次响应模型适用于剩余氨氮浓度及剩余总磷浓度,2个模型均拥有较好的拟合程度、可信度及精密度,最优反应条件为:pH=9.88、n(Mg)∶n(N)=1.50∶1、n(P)∶n(N)=1.38∶1时,剩余氨氮浓度为46.58 mg/L,剩余总磷浓度为7.85 mg/L。在最优条件下所得到的沉淀物并非纯净的MgNH4PO4·6H2O,还有Mg3(PO4)2·22H2O生成。

关键词：响应面分析氨氮 map 稀土废水 XRD

map Aided Pedestrian Dead Reckoning Using Buildings Information for Indoor Navigation Applications

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Positioning 2013年第3期4卷 227-239页

作者： Mohamed Attia Adel Moussa Naser El-Sheimy Mobile Multi-Sensor Systems Research Group Department of Geomatics Engineering University of Calgary Calgary Canada.

Navigation systems play an important role in many vital disciplines. Determining the location of a user relative to its physical environment is an important part of many indoor-based navigation services such as user navigation, enhanced 911 (E911), law enforcement, location-based and marketing services. Indoor navigation applications require a reliable, trustful and continuous navigation solution that overcomes the challenge of Global Navigation Satellite System (GNSS) signal unavailability. To compensate for this issue, other navigation systems such as Inertial Navigation System (INS) are introduced, however, over time there is a significant amount of drift especially in common with low-cost commercial sensors. In this paper, a map aided navigation solution is developed. This research develops an aiding system that utilizes geospatial data to assist the navigation solution by providing virtual boundaries for the navigation trajectories and limits its possibilities only when it is logical to locate the user on a map. The algorithm develops a Pedestrian Dead Reckoning (PDR) based on smart-phone accelerometer and magnetometer sensors to provide the navigation solution. Geospatial model for two indoor environments with a developed map matching algorithm was used to match and project navigation position estimates on the geospatial map. The developed algorithms were field tested in indoor environments and yielded accurate matching results as well as a significant enhancement to positional accuracy. The achieved results demonstrate that the contribution of the developed map aided system enhances the reliability, usability, and accuracy of navigation trajectories in indoor environments.

关键词： Indoor Navigation map Matching Geospatial Data Model Pedestrian Dead Reckoning (PDR)

map-Fenton法预处理垃圾渗滤液的实验研究

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环境污染与防治 2015年第10期37卷 42-47页

作者：王小飞王增长太原理工大学环境科学与工程学院山西太原030024

采用map-Fenton法对垃圾渗滤液进行预处理研究,以氨氮和COD的去除率为衡量指标,根据单因素实验和正交实验确定其最佳工艺条件。map阶段的最佳工艺条件:pH=9.5、Mg2+∶NH+4∶PO3-4(摩尔比)=1.3∶1.0∶1.3、反应时间为25min;Fenton阶段的... 详细信息

采用map-Fenton法对垃圾渗滤液进行预处理研究,以氨氮和COD的去除率为衡量指标,根据单因素实验和正交实验确定其最佳工艺条件。map阶段的最佳工艺条件:pH=9.5、Mg2+∶NH+4∶PO3-4(摩尔比)=1.3∶1.0∶1.3、反应时间为25min;Fenton阶段的最佳工艺条件:pH=3.5、30%(质量分数)H2O2投加量20mL/L、H2O2∶FeSO4·7H2O(摩尔比)=5∶1、反应时间为2.0h。在上述最佳工艺条件下,垃圾渗滤液氨氮和COD去除率的平均值分别为93.89%和90.12%。

关键词：垃圾渗滤液 map Fenton氧化氨氮去除率 COD去除率

Syntactic Characteristics and a Smart Construction Mechanism for Thematic map Symbols

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Journal of Geodesy and Geoinformation Science 2019年第1期2卷 37-48页

作者： Fei ZHAO Qingyun DU Fu REN Guizhi WANG School of Resource Environment and Earth Science Yunnan UniversityKunming 650091China School of Resources and Environmental Science Wuhan UniversityWuhan 430079China National Geomatics Center of China Beijing 100830China

The construction of thematic map symbols is a very complex and intellectually demanding process,but thematic symbols can be automatically generated and easily shared on the web using the syntactic structure of semantic *** this paper,the symbol types,inner structure,and design pattern are discussed.A syntactic construction theory based on letter (thematic maps primitive)-word (single thematic symbol)-sentence (combined symbols or complex symbols) structure model is proposed to automate the construction of thematic map *** a result of this research,symbols can be defined using cartographic primitives which are arranged according to syntactic principles.A semiotic model and word-centered construction theory can be integrated into interactive cartography as represented by the technology of ***,the concepts and schema of this theory are discussed,and some examples are presented based a web thematic cartographic system to verify its utility.

关键词： syntax thematic map symbol linguistics web cartography construction

A Flower Image Classification Algorithm Based on Saliency map and PCANet

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通讯和计算机（中英文版） 2019年第1期15卷 14-24页

作者： Yan Yangyang Fu Xiang Institute of Computer Vision Nanchang Hang Kong UniversityNanchangChina

Flower Image Classification is a Fine-Grained Classification *** main difficulty of Fine-Grained Classification is the large inter-class similarity and the inner-class *** this paper,we propose a new algorithm based on Saliency map and PCANet to overcome the *** algorithm mainly consists of two parts:flower region selection,flower feature *** first part,we combine saliency map with gray-scale map to select flower *** second part,we use the flower region as input to train the PCANet which is a simple deep learning network for learning flower feature automatically,then a 102-way softmax layer that follow the PCANet achieve *** approach achieves 84.12%accuracy on Oxford 17 Flowers *** results show that a combination of Saliency map and simple deep learning network PCANet can applies to flower image classification problem.

关键词： Saliency map PCANet deep learning flower image classification

Enhanced Self-Organizing map Neural Network for DNA Sequence Classification

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Intelligent Information Management 2013年第1期5卷 25-33页

作者： Marghny Mohamed Abeer A. Al-Mehdhar Mohamed Bamatraf Moheb R. Girgis Faculty of Information and Computers Assiut University Assiut Egypt Faculty of Science Hadhramout University of Science and Technology Hadhramout Yemen Faculty of Science Minia University Minia Egypt

The artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due to their robust, powerful, distributed, fault tolerant computing and capability to learn in a data-rich environment. ANNs has been used in several fields, showing high performance as classifiers. The problem of dealing with non numerical data is one major obstacle prevents using them with various data sets and several domains. Another problem is their complex structure and how hands to interprets. Self-Organizing map (SOM) is type of neural systems that can be easily interpreted, but still can’t be used with non numerical data directly. This paper presents an enhanced SOM structure to cope with non numerical data. It used DNA sequences as the training dataset. Results show very good performance compared to other classifiers. For better evaluation both micro-array structure and their sequential representation as proteins were targeted as dataset accuracy is measured accordingly.

关键词： Bioinformatics Artificial Neural Networks Self-Organizing map Classification Sequence Alignment

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map技术的研究与MINI—map的实施

小型微型计算机系统 1991年第5期12卷 12-18,26页

作者：金正谊白英彩上海交通大学计算机系

MINI—map/EPA的研究与实现是我们受国家高技术自动化领域CIMS支持的项目,本文论述了我们所做的工作,如网络物理层、链路层和综合应用层的设计与实现,还提出了适用于CSMA/CD和TOKEN BUS两种机制的网络适配器.

关键词： map MINI-map 计算机网络

SCENARIO-BASED URBAN FLOOD FORECAST WITH FLOOD INUNDATION map

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Tropical Cyclone Research and Review 2019年第1期8卷 27-34页

作者： JINHOON KIM HYOSEOB CHO Han River Flood Control Office

The objective of this study is to introduce how to apply the urban flood forecast with numerous flood inundation map scenario in Korea. In modeling of urban flood, drainage networks 1D model like SWMM(Storm Water Management Model) used to analysis stormwater runoff within drainage pipe system and 2D surface model used to simulate inundation area and depth. This 1D-2D model(drainage network 1D coupled to 2D surface model) is used to make the inundation map of urban flood. The accuracy of the 2D model is highly dependent of the input data resolution. The cell by cell running on these high surface resolution need to be required more computation time. Thus, the 1D-2D models have some limitations in using operational real-time forecast. In this sense, the scenario-based approach can be a good alternative method to forecast urban flood. The flood inundation maps would be completed with 320 rainfall scenarios which are finely divided according to rainfall intensity and duration on the basis of design rainfall. The forecast process is very simple if we use pre-existing scenarios. We use a predicted radar rainfall as input for simulated scenario selection, and then selected inundation map would be serviced to people. In this study, the current results for the scenario-based urban flood forecast with flood inundation map are demonstrated.

关键词： urban flood forecast flood inundation map scenario-based radar rainfall estimation

Recovery and Upgrading of Phosphorus from Digested Sewage Sludge as map by Physical Separation Techniques

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Journal of Environmental Protection 2016年第6期7卷 816-824页

作者： Tsuyoshi Hirajima Takao Hagino Mia Kose Mohsen Farahat Keiko Sasaki Department of Earth Resources Engineering Kyushu University Fukuoka Japan SWING Corporation Fujisawa Japan LIXIL Corporation Chita Japan Central Metallurgical Research & Development Institute Helwan Egypt

Physical separation apparatuses;a vibrating screen, a 4-inch hydrocyclone and a Multi-Gravity Separator (MGS) were used to recover phosphorus as map (magnesium ammonium phosphate, MgNH4PO4.6H2O) from anaerobic digested sludge of two sewage-treatment plants A and B. For plant A, the map grade increased from 0.08% to 88.9% with 90.4% recovery and for plant B, the grade increased from 0.11% to 73.8 with 93.2% recovery. The collected map products containing impurities such as organic materials and heavy metals were further upgraded through dry and wet magnetic separation tests at different magnetic flux densities. A dry magnetic separator was tested on both map products (map-A and map-B), while the wet magnetic separation process was exclusively experimented for the removal of impurities from map-B. Feed samples, as well as magnetic and nonmagnetic products were analyzed by absorption spectroscopy, XRD, ICP-AES, polarizing microscope observation, and SEM-EDX. The grade of map products could be improved by about 4% - 9% after magnetic separation (the most appropriate magnetic force being 15,000 Gauss). During both dry and wet magnetic separation processes, not only heavy metals have been removed, but also nonmagnetic constituents like Al, Ba, and Ca. This may be attributed to the attachment of fine magnetic particles on the nonmagnetic surfaces, rendering them magnetic properties.

关键词： Phosphorus Recovery Sewage Sludge map Physical Separation Removal of Heavy Metals