• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.342-353
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• 2020

Purpose: This study aimed to systematically review literature and conduct a meta-analysis to comprehensively identify and evaluate the effects of workplace risk assessment-based ergonomic intervention on work-related muscular-skeletal disorders in workers. Methods: We searched the Ovid-Medline, EMBASE, and Cochrane library and up to 2018 using search terms such as muscular-skeletal, disorder, impairment, work-related muscular-skeletal disorders, ergonomic, intervention, management with no language limitations; screened reference lists; and contacted experts in the field. Results: We identified 545 references and included 13 randomized controlled tests (3,368 workers). We judged nine studies to have a low risk of bias, while the other four studies have a high risk of bias. Conclusion: Ergonomic intervention based on risk assessment in the workplace did not significantly differ in terms of the intensity of pain or duration of workers in the workplace, but low-quality evidence decreased the frequency of musculoskeletal disorder pain in three to six months moderate-quality evidence and in six to nine months low-quality evidence. Besides, low-quality evidence to reduce discomfort and moderate-quality evidence to improve worker posture. Therefore, ergonomic intervention based on the assessment of risk factors in the workplace should be applied to reduce pain frequency and discomfort and improve workers posture among musculoskeletal disorders.

• Journal of Software Assessment and Valuation
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• v.7 no.1
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• pp.29-39
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• 2011

To evaluate the quality of clone detection tools, we should know how many clones the tool misses. Hence we need to have the standard code-clone reference corpus for a carefully chosen set of sample source codes. The reference corpus available so far has been built by manually collecting clones from the results of various existing tools. This paper presents a tree-pattern-based clone detection tool that can be used for automatic generation of reference corpus. Our tool is compared with CloneDR for precision and Bellon's reference corpus for recall. Our tool finds no false positives and 2 to 3 times more clones than CloneDR. Compared to Bellon's reference corpus, our tools shows the 93%-to-100% recall rate and detects far more clones.

• Educational Technology International
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• v.22 no.2
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• pp.255-283
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• 2021

In the early 2020, COVID-19 changed the traditional way of teaching and learning. This paper aimed to explore the impact of college students' perception of course quality on their online learning satisfaction. A total of 4,812 valid samples were extracted, and the difference analysis and hierarchical regression analysis were used to make an empirical analysis of college students' online learning satisfaction. The research results were as follows. Firstly, there was no difference in online learning satisfaction among students by gender and grade. Secondly, learning assessment, course materials, course activities and learner interaction, and course production had a significant positive impact on online learning satisfaction. Course overview and course objectives had an insignificant correlation with online learning satisfaction. Thirdly, the total effect of online learning satisfaction was as follows. Course production had the greatest effect, followed by course activities and student-student interactions, followed by course materials. It was the learning evaluation that showed the least effect. This study can provide empirical reference for college teachers on how to continuously improve online teaching and increase students' satisfaction with online learning.

• Journal of information and communication convergence engineering
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• v.21 no.2
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• pp.152-158
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• 2023

In recent years, as computer-generated imagery has been applied to more industries, realistic facial animation is one of the important research topics. The current solution for realistic facial animation is to create realistic rendered 3D characters, but the 3D characters created by traditional methods are always different from the actual characters and require high cost in terms of staff and time. Deepfake technology can achieve the effect of realistic faces and replicate facial animation. The facial details and animations are automatically done by the computer after the AI model is trained, and the AI model can be reused, thus reducing the human and time costs of realistic face animation. In addition, this study summarizes the way human face information is captured and proposes a new workflow for video to image conversion and demonstrates that the new work scheme can obtain higher quality images and exchange effects by evaluating the quality of No Reference Image Quality Assessment.

• Nuclear Engineering and Technology
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• v.55 no.7
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• pp.2567-2571
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• 2023

Scintillator materials are widely used in the medical and industrial fields for imaging systems using gamma cameras. In this study, image evaluation is performed by modeling a gamma camera system based on a lutetium-yttrium oxyorthosilicate (LYSO) scintillation detector using a pinhole collimator that can improve the spatial resolution. A LYSO detector-based gamma camera system is modeled using a Monte Carlo simulation tool. The geometric concept of the pinhole collimator is designed using various magnification factors, and the spatial resolution is measured using the acquired source image. To evaluate the resolution, the full width at half maximum (FWHM) and natural image quality assessment (NIQE), a no-reference-based parameter, are used. We confirm that the FWHM and NIQE values decrease simultaneously when the diameter of the pinhole collimator increases. Additionally, we confirm that the spatial resolution improves as the magnification factor increases under the same pinhole diameter condition. Particularly, a 0.57 mm FWHM value is obtained using the modeled gamma camera system with a LYSO scintillation detector. In conclusion, our results demonstrate that a pinhole collimator with a LYSO scintillation detector is a promising gamma camera imaging system.

• Korean Journal of Community Nutrition
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• v.17 no.6
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• pp.772-781
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• 2012

In order to supply the reference data to define the quality of life of the rural agricultural elderly population in the simplified steps, the data were collected by personal visits to 232 elder people over 65 (89 males and 143 females) in Sunchang area. The survey was conducted with written questionnaires concerning the quality of life, health-related habits, basic physical functions and cognitive behavior. The prevalence of the degenerative diseases were assessed by anthropometric and biochemical determinations. The averaged overall quality of life represented by EQ-5D index with Nam's model was calculated to be $0.865{\pm}0.1509$, and the percentages of people below the average were 38% (low QOL group) and 62% (high QOL group) were found to be the above the average. Generally, the subjects with male gender, higher educational background, higher self-rated health status, higher social activities were belonged to the high QOL group. The high QOL group had higher scores of daily living activities KADL and IADL, and lower risks in cognitive functions K-MMSE and depression scale GDS. There was no statistically significant correlation between biochemical indexes of blood and cognitive function and EQ-5D scores when the results were adjusted for age and gender. There were significant differences in nutritional assessment determined by the MNA between the high and low QOL groups. The low QOL group showed inferior nutritional status. The rapidly measurable factors of the quality of life of rural elderly were turned out to be physical activity scores and the simplified nutritional status measurement.

• Journal of Astronomy and Space Sciences
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• v.19 no.4
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• pp.367-376
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• 2002

As of September 2002, there are more than 60 operational permanent Global Positioning System (GPS) stations in South Korea. Their data are being used for a variety of purposes: geodynamics, geodesy, real-time navigation, atmospheric science, and geography. Especially, many of the sites are reference stations for DGPS (Differential GPS). However, there has been no comprehensive and qualitative analysis published to evaluate the data quality. In this study, we present preliminary results of our assessment of the permanent GPS sites in South Korea. We have analyzed the multi-path characteristics of each station using a quality-checking software package called TEQC. Another multipath analysis tool based on post-fit phase residuals was used to check the repeating patterns and the amount of the multipath at each site. The long-term stability of each station was analyzed using the root-mean-square (RMS) error of the estimated site positions for one year, which enabled us to evaluate the mount stability. In addition, the number of cycle slips at each site was derived by TEQC. Based on these series of tests, we compared the stability and data quality of permanent GPS stations in South Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3672-3684
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• 2015

Recently, the standardization of backward compatible JPEG image coding for high dynamic range (HDR) image has been undertaken to establish an international standard called "JPEG XT." The JPEG XT consists of two layers: the base layer and the residual layer. The base layer contains tone mapped low dynamic range (LDR) image data and the residual layer contains the error signal used to reconstruct the HDR image. This paper gives the result of a study to evaluate the overall performance of tone mapping operators (TMOs) for this standard. The evaluation is performed using five HDR image datasets and six TMOs for profiles A, B, and C of the proposed JPEG XT standard. The Tone Mapped image Quality Index (TMQI) and no reference image quality assessment (NR IQA) are used for measuring the LDR image quality. The peak signal to noise ratio (PSNR) is used to evaluate the overall compression performance of JPEG XT profiles A, B, and C. In TMQI and NR IQA measurements, TMOs using display adaptive tone mapping and adaptive logarithmic mapping each gave good results. A TMO using adaptive logarithmic mapping gave good PSNRs.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.343-344
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• 2021

최근 영상의 활용도의 증가에 따라, 비정형 영상 데이터에 대한 양이 기하급수적으로 증가하였다. 디지털 영상을 획득할 시에 처리/압축/저장/전송/재생산 등의 과정을 거치면서 왜곡을 수반하게 되며 영상의 품질을 저하시키는 요인이 된다. 영상의 품질은 활용 결과에도 큰 영향을 미치기 때문에 품질이 저하된 영상은 분류를 하는 것이 중요하다. 하지만 사람이 수신된 모든 영상에 대해서 직접 분류를 하는 것은 많은 시간과 비용이 소요된다는 문제점이 존재한다. 따라서 본 논문에서는 사람이 인지하는 주관적인 영상 품질 평가와 유사하게 품질에 대한 평가를 위한 왜곡영상의 특징정보를 검출 및 분석하는 방안에 대해서 제안한다. 본 방법은 사람이 영상을 인지할 때 가장 많이 사용되는 요소인 색상에 대한 선명도, 블러와 노이즈에 대한 특징정보를 이용한다. 검출된 특징정보를 공간 도메인으로 변환함으로써 왜곡 영상별 특성을 분석하였다. 실험을 위해서 IQA 데이터베이스인 LIVE를 이용하였으며, 원본영상 및 5가지 유형의 왜곡영상으로 구성되어 있다. 실험결과 품질이 좋은 영상과 왜곡영상에 대한 특성을 검출할 수 있었다.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.373-386
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• 2013

In this research, we specify the image consumers' preferred image quality ranges based on objective image quality evaluation factors and follow a method which measures preference of the natural image scenes. In other words, according to No-Reference, we select dynamic range, color, and contrast as factors of image quality measurements. For collecting sample images, we choose the preferred 200 landscapes which have over 30 recommendations by image consumers on the internet photo gallery. According to the scores of three objective factors of image quality measurements, the final expected score which means the image quality preference is measured and its total score is 100 points. In the main test, the actual image sample shows dynamic range 10 stop, LAB mean value L:54.7, A:2.96, B:-15.84, and RSC contrast 376.9. Total 200 image samples' normal distribution z value represents in dynamic range 0.21, LAB mean value L:0.15, A:0.38, B:0.13, and RSC contrast 0.08. In the standard normal distribution table, we can convert the z value as a percentage; dynamic range is 8.32%, LAB mean value is L:5.96%, A:14.8%, B:5.17%, and RSC contrast is 3.19%. And then, we convert the percentage values into the scores of 100; dynamic range is 91.68, LAB mean value is 91.36, and RSC contrast is 96.81. Therefore, we can conclude that the sample image's total mean score is 94.99 based on three objective image quality factors. Throughout our proposed image quality assessment model, we can measure the preference value of natural scenes. Also, we can specify the preferred image quality representation ranges and measure the expected image quality preference.