eLog — Teaching and data management system: Seemless data capture and analysis of education data

机译：eLog —教学和数据管理系统：无缝数据采集和教育数据分析

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Gradate and Higher Education sector is witnessing increase proliferation of educationcampus management software for handling and management of all the data pertaining to the students, right from admissions to final graduation. Traditionally all these data was maintained using manual recordlogs and the same was used as supporting documents for ISO and other quality auditscertifications. This transition from paper based data entry to software enabled systems is still in infancy, making the job a faculty members cumbersome as they have to do the job twice, enter into manuals records and then replicate the same in educationcampus management software. This paper proposes eLog, a technology enabled solution to address this gap by seamless capturing of education data, reducing faculty workload and focusing on considerable analysis of data which leads to taking remedial actions to improve performance and attendance.

机译：毕业和高等教育部门目睹了用于管理和管理与学生有关的所有数据（从入学到最终毕业）的教育校园管理软件的激增。传统上，所有这些数据都是使用手动记录日志维护的，并且这些数据被用作ISO和其他质量审核认证的支持文件。从基于纸张的数据输入到启用软件的系统的这种过渡仍处于起步阶段，这使得该教员成为繁琐的工作，因为他们必须做两次工作，输入手册记录，然后在教育校园管理软件中复制相同内容。本文提出了eLog，这是一种技术支持的解决方案，可通过无缝捕获教育数据，减少教师工作量并着重于对数据的大量分析来解决这一差距，从而采取补救措施来提高绩效和出勤率。

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来源
《2013 IEEE International Conference in MOOC, Innovation and Technology in Education》|2013年|310-314|共5页
会议地点 Jaipur(IN)
作者
Sheriff C.Imthyaz; Geetha Angelina;
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作者单位

Department of Computer Science and Engineering, B. S. Abdur Rahman University, Chennai, Indiac;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
attendance; education management; teaching;

机译：出勤;教育管理;教学;;

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机译：现代过程数据捕获系统的应用是控制，收集和分析铸造特定数据的有效工具
2. A Data Logger for Teaching Data Capturing and Analysis to Engineering Students [J] . DOGAN IBRAHIM Computer applications in engineering education . 2010,第2期

机译：数据记录仪，用于向工程专业学生教授数据捕获和分析
3. From data to knowledge: The interaction between data management systems in educational institutions and the delivery of quality education [J] . Hilary Tolley, Boaz Shulruf Computers & education . 2009,第4期

机译：从数据到知识：教育机构的数据管理系统与优质教育的互动
4. eLog — Teaching and data management system: Seemless data capture and analysis of education data [C] . Sheriff C.Imthyaz, Geetha Angelina IEEE International Conference in MOOC, Innovation and Technology in Education . 2013

机译：elog - 教学和数据管理系统：教育数据似乎是数据捕获和分析
5. Data for decisions in developing education systems: An analysis of a computer-based education management information system in the Arab Republic of Egypt. [D] . Cassidy, Thomas James, Jr. 1990

机译：发展教育系统中的决策数据：阿拉伯埃及共和国基于计算机的教育管理信息系统分析。
6. Methodologies for Medical Computing. Date Bases and Management Database Management: Development of a Friendly Self-Teaching Interactive Statistical Package for Analysis of Clinical Research Data: The BRIGHT STAT-PACK [O] . D. Rodbard, B. R. Cole, P. J. Munson 1983

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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

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eLog — Teaching and data management system: Seemless data capture and analysis of education data

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