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相关概念视频

Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
Labeling DNA Probes03:31

Labeling DNA Probes

DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell. Samples for...
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Blank Solutions00:56

Blank Solutions

A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
In some experimental cases, the reagents, solvents, or lab equipment used in...
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte properties and...

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相关实验视频

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Methods to Test Visual Attention Online
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在答案表上无监督的光学标记识别,用于大规模打印的多选项测试.

Yahir Hernández-Mier1, Marco Aurelio Nuño-Maganda1, Said Polanco-Martagón1

  • 1Intelligent Systems Department, Polytechnic University of Victoria, Ciudad Victoria 87138, Mexico.

Journal of imaging
|September 26, 2025
PubMed
概括

本研究介绍了一款用于自动光学标记识别 (OMR) 的桌面应用程序,以得分多选项测试. 该系统显著减少了分级时间,并提高了准确性,而不是手动评分.

关键词:
自动考试分级系统自动考试分级系统计算机视觉 计算机视觉图像处理是图像处理的过程.

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科学领域:

  • 计算机科学 计算机科学
  • 图像处理 图像处理
  • 教育技术的教育技术

背景情况:

  • 手动评分多选项测试是耗时的,容易出现错误.
  • 现有的光学标记识别 (OMR) 算法在扫描答案表中的现实世界的变化中扎.
  • 对大规模评估的评分过程的自动化对于效率至关重要.

研究的目的:

  • 开发和评估一个桌面应用程序,用于多选择题 (MCQ) 答案表的光学标记识别 (OMR).
  • 提高评分标准化测试的速度和准确性.
  • 为运营商提供一个用户友好的界面来管理和分析考试结果.

主要方法:

  • 编制了来自墨西哥塔马乌利帕斯州考试的6029张扫描答案表 (564,040个四选项答案) 的数据集.
  • 开发了一种图像处理模块,用于从数字化答案表中提取答案.
  • 创建了一个操作员界面来选择文件和结果表格.

主要成果:

  • OMR系统在评分整个考试时实现了96.15%的准确性,没有错误.
  • 该系统正确分类了99.95%的个别四选项答案.
  • 自动评分平均每张答案表1.04秒,而手动评分2分钟.

结论:

  • 开发的OMR桌面应用程序提供了一个高度准确和高效的解决方案,用于评分多项选择测试.
  • 该系统在速度和精度方面明显优于手动分级.
  • 这项技术有可能简化大规模的教育评估.