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Choudhary, Priyanka
- Effectiveness of Video Assisted Teaching Vs Demonstration Method on Female Urinary Catheterization in Terms of Knowledge and Practice
Authors
1 Medical Surgical Nursing, Subharti Nursing College, Meerut, IN
2 Fundamental of Nursing, Subharti Nursing College, Meerut, IN
3 Subharti Nursing College, Meerut, IN
Source
International Journal of Nursing Care, Vol 2, No 1 (2014), Pagination: 13-16Abstract
Background: Urinary tract infection (UTI) is the most common infectious disease especially among women. Accounting for approximately 8.3 million doctor visits each year, urinary tract infections rank as the second most common in all types of infection. The choice of teaching method also affects the student's interest, knowledge&skills.
Aim: The objective of this study was to assess the effectiveness of video assisted teaching verses demonstration method on female urinary catheterization in terms of knowledge and practice.
Method: In this study Pre-Test Post-Test Design was used which is a quasi experimental design. Sample size was 60. A semi structured questionnaire&observation checklist was used to assess the knowledge and practice among GN.M.2nd year female students of Panna Dai Maa Subharti nursing college Meerut
Findings: In video assisted teaching, the post test knowledge was increased (20.76) than demonstration method (18.03) as well as the post test practice was increased in demonstration method (16.4) than video teaching (16.8) regarding female urinary catheterization. The post test Knowledge and practice correlation coefficient of Group A was 0.219517 where as in the Group B it was found 0.271137.
Conclusion: For improving the clinical competencies of the students, demonstration method is more effective than video assisted teaching.
Keywords
Female Urinary Catheterization, Video Assisted Teaching, Demonstration Method. Nursing Students (G.N.M - General Nursing Midwifery)
- Determination of Rate of Degradation of Iron Plates due to Rust using Image Processing
Authors
1 Kurukshetra University, N.C. College of Engineering and Technology, Panipat, Haryana, IN
Source
International Journal of Engineering Research, Vol 4, No 2 (2015), Pagination: 76-84Abstract
Most of industries and bridges around us make use of iron for manufacturing their products. On the other hand corrosion is a natural process that deteriorates the integrity of iron surface. Therefore, rusting of iron takes place. To avoid unwanted accidents in industries and bridges, it is necessary to detect rusting in earlier stage, so that it can be prevented. Digital image processing for the detection of the rusting provides fast, accurate and objectives results. In this research paper, we have done a systematic review of algorithms that help us to detect the rust area from a metal (iron).it has been found that most of researches are bring their images, processing series in usage for this purpose due to its simplicity in implementing and due to fact the images help capturing the visual inspection process easily and due to the ground teeth. The image processing techniques explored by other peoples based on in-depth analysis, we have also proposed a novel technique to overcome the limitation.Keywords
Rust Detection, Visual Inspection, Image Processing.Full Text
- Determination of Rate of Degradation of Iron Plates Due to Rust Using Image Processing-A Review
Authors
1 Deptt. of ECE, Kurukshetra University, N.C. College of Engineering and Technology, Panipat, Haryana, IN
2 Department of ECE, Kurukshetra University, Panipat, Haryana, IN
Source
International Journal of Engineering Research, Vol 3, No 2 (2014), Pagination: 100-103Abstract
Most of industries and bridges around us make use of iron for manufacturing their products. On the other hand corrosion is a natural process that deteriorates the integrity of iron surface. Therefore, rusting of iron takes place. To avoid unwanted accidents in industries and bridges, it is necessary to detect rusting in earlier stage, so that it can be prevented. Digital image processing for the detection of the rusting provides fast, accurate and objectives results. In this research paper, we have done a systematic review of algorithms that help us to detect the rust area from a metal (iron). It has been found that most of researches are bring their images, processing series in usage for this purpose due to its simplicity in implementing and due to fact the images help capturing the visual inspection process easily and due to the ground teeth. The image processing techniques explored by other peoples based on in-depth analysis, we have also proposed a novel technique to overcome the limitation.Keywords
Rust Detection, Visual Inspection, Image Processing.Full Text