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Beyond the Illustration of Research Data: Using professionally facilitated image making techniques to enable participants to describe, enhance and extend data originally captured using traditional text-based methods of research

机译：超越研究数据的说明：使用专业的图像制作技术，使参与者能够描述，增强和扩展最初使用基于文本的传统研究方法捕获的数据

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conference poster

机译：会议海报

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Mooney-Somers Julie; Smith K;
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年度 2014
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1. Introduction of electronic data capture method using participant-completed online web-based follow up questionnaire in mail-based study achieves expected benefits and positive participant feedback [J] . Jill Barton, Allen Young, Michael Lay Trials . 2015,第SUPPLEMENTa2期

机译：在基于邮件的研究中引入使用参与者完成的基于网络的在线跟进调查表的电子数据捕获方法，可实现预期的收益和积极的参与者反馈
2. Enhancing data collection methods with qualitative projective techniques in the exploration of a university's brand identity and brand image [J] . Louise Spry, Christopher Pich International Journal of Market Research . 2021,第2期

机译：提高了大学品牌标识和品牌形象的定性投影技术的数据收集方法
3. Extended data analysis strategies for high resolution imaging MS: New methods to deal with extremely large image hyperspectral datasets [J] . Klerk LA, Broersen A, Fletcher IW, International journal of mass spectrometry . 2007,第26期

机译：高分辨率成像MS的扩展数据分析策略：处理超大图像高光谱数据集的新方法
4. Triangulation of Three Different Research Methods when Capturing Participant Data During Engineering Education [C] . Jani Kalasniemi, Joona Kurikka, Lauri Repokari American Society for Engineering Education Annual Conference and Exposition . 2018

机译：三种不同研究方法在工程教育期间捕获参与者数据的三角测量
5. Methods to Facilitate the Capture, Use, and Reuse of Structured and Unstructured Clinical Data. [D] . Wu, Tzu-Yu. 2016

机译：促进捕获，使用和重复使用结构化和非结构化临床数据的方法。
6. Introduction of electronic data capture method using participant-completed online web-based follow up questionnaire in mail-based study achieves expected benefits and positive participant feedback [O] . Jill Barton, Allen Young, Michael Lay 2015

机译：在基于邮件的研究中引入使用参与者完成的基于网络的在线跟进调查表的电子数据捕获方法可实现预期的收益和积极的参与者反馈
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

Beyond the Illustration of Research Data: Using professionally facilitated image making techniques to enable participants to describe, enhance and extend data originally captured using traditional text-based methods of research

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