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Overview of Hydrocarbon Processing Options and Proposed Concepts of Gasification forHydrogen Production with Carbon Dioxide Capture

机译：二氧化碳捕集制氢的烃加工方案概述和气化的拟议概念

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来源
《Annual International Pittsburgh Coal Conference (PCC) 》|2004年|1|共1页
会议地点 Osaka(JP)
作者
Chunshan Song;
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作者单位

Pennsylvania State University, USA;

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会议组织
原文格式 PDF
正文语种 eng
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1. Chemical-Looping Gasification of Biomass for Hydrogen-Enriched Gas Production with In-Process Carbon Dioxide Capture [J] . Bishnu Acharya, Animesh Dutta, Prabir Basu Energy & fuels . 2009 ,第5期

机译：用于生产过程中二氧化碳捕集的富氢气体生产的生物质的化学循环气化
2. Innovative concepts for hydrogen production processes based on coal gasification with CO_2 capture [J] . Calin-Cristian Cormos, Fred Starr, Evangelos Tzimas, International journal of hydrogen energy . 2008 ,第4期

机译：基于煤气化和CO_2捕集的制氢工艺创新概念
3. Hydrogen-rich gas production by the gasification of wet MSW (municipal solid waste) coupled with carbon dioxide capture [J] . Hu Mian, Guo Dabin, Ma Caifeng, Energy . 2015 ,第OCTaPTa1期

机译：通过湿式MSW（市政固体废物）的气化和二氧化碳的捕集来生产富氢气体
4. CHEMICAL LOOPING GASIFICATION OF BIOMASS FOR HYDROGEN ENRICHED GAS PRODUCTION WITH IN-PROCESS CARBON-DIOXIDE CAPTURE [C] . Animesh Dutta, Bishnu Acharya, Prabir Basu Proceedings of the 20th international conference on fluidized bed combustion(FBC) . 2009

机译：过程二氧化碳捕获过程中生物富集气生产气的化学循环气化
5. High temperature reactive separation process for combined carbon dioxide and sulfur dioxide capture from flue gas and enhanced hydrogen production with in-situ carbon dioxide capture using high reactivity calcium and biomineral sorbents. [D] . Iyer, Mahesh V. 2006

机译：高温反应分离工艺，用于从烟道气中捕获二氧化碳和二氧化硫，并使用高反应性钙和生物矿物吸附剂进行原位捕获，从而提高了制氢量。
6. Data concerning adsorption equilibria of carbon dioxide nitrogen and oxygen over a zeolite molecular sieve 13X for the modelling of carbon dioxide capture from gaseous mixtures by adsorptive processes [O] . Manfred Jaschik, Marek Tanczyk, Jolanta Jaschik, 2020

机译：关于分子筛13X上二氧化碳氮和氧的吸附平衡的数据用于模拟通过吸附过程从气态混合物中捕获二氧化碳
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Overview of Hydrocarbon Processing Options and Proposed Concepts of Gasification forHydrogen Production with Carbon Dioxide Capture

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