• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.2
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• pp.83-89
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• 2005

This study aims to compare a self-reported and expert-observed method on ergonomic risk factors of Work-related Musculoskeletal Disorders (WMSDs). The checklist was developed based on the results of previous studies, and the symptoms of WMSDs were obtained using a self-reported questionnaire from 1,029 shipyard workers. The risk factors were assessed through the self-report by workers and video analysis by ergonomists. The symptom prevalence at the low back (59.2%), shoulders (50.8 %), and knees (49.7%) were relatively higher than those at other body parts. Odds ratios (ORs) by body parts were 2.48 to 2.90 for the risk job, and the ORs were significantly different from those of the low risk job. The risk factor scores by body parts between workers and ergonomist were very high correlation(r=0.82 to 0.92). The rates of self-report from risk job were 54.0% (elbow and arm) to 72.1 % (low back), but sometimes overestimated(105.7 to 122.6%) than those by ergonomists. The checklist, developed in this study, will be an efficient tool for the evaluation of risk jobs using self-report by workers.

• Journal of Mechanical Science and Technology
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• v.16 no.11
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• pp.1448-1456
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• 2002

The present study addresses the flow characteristics involved in the self-induced oscillations of the underexpanded jet impinging upon a cylindrical body. Both experiment and computational analysis are carried out to elucidate the shock motions of the self-induced oscillations and to find the associated major flow factors. The underexpanded sonic jet is made from a nozzle and a cylindrical body is placed downstream to simulate the impinging jet upon an obstacle. The computational analysis using TVD scheme is applied to solve the axisymmetric, unsteady, inviscid governing equations. A Schlieren system is employed to visualize the self-induced oscillations generated in flow field. The data of the shock motions are obtained from a high-speed video system. The detailed characteristics of the Mach disk oscillations and the resulting pressure variations are expatiated using the time dependent data of the Mach disk positions. The mechanisms of the self-induced oscillations are discussed in details based upon the experimental and computational results.

• Journal of IKEEE
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• v.27 no.3
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• pp.251-257
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• 2023

In this paper, we propose a dual-structured self-attention method that improves the lack of regional features of the vision transformer's self-attention. Vision Transformers, which are more computationally efficient than convolutional neural networks in object classification, object segmentation, and video image recognition, lack the ability to extract regional features relatively. To solve this problem, many studies are conducted based on Windows or Shift Windows, but these methods weaken the advantages of self-attention-based transformers by increasing computational complexity using multiple levels of encoders. This paper proposes a dual-structure self-attention using self-attention and neighborhood network to improve locality inductive bias compared to the existing method. The neighborhood network for extracting local context information provides a much simpler computational complexity than the window structure. CIFAR-10 and CIFAR-100 were used to compare the performance of the proposed dual-structure self-attention transformer and the existing transformer, and the experiment showed improvements of 0.63% and 1.57% in Top-1 accuracy, respectively.

• Journal of muscle and joint health
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• v.5 no.1
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• pp.39-56
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• 1998

This study was an quasi-experimental study, done to identify factors Influencing the reduction of symptoms in patients with fibromyalgia. The primary purpose of the study was to develop a Self-Help Program suitable for patients with fibromyalgia in Korea. The secondary purpose was to identify the effects of a Self-Help Program which included stretching exercise. This study was carried out between Feb. 24 and July 8, 1997 and patients in the study Included out patient diagnosed with fibromyalgia based on the criteria developed by the American College of Rheumatology(1990) and H, University which is a tertiary patient care clinic for Rheumatism. The experimental group included 38 patients who were residents of Seoul or Kyungi province, and a control group of 38 patients who were residents of other areas. The control patients were matched to the experimental group patients and they were selected considering the number of tender points on the Fibromyalgia Impact Questionnaire score and a score of self-efficacy. The experimental group participated in a Self-Help Program based on the American Arthritis Foundation(1995) guidelines. The program participants participated in a small group which consisted of 12-15 members attending the program once a week, for 6 weeks with each program lasted two to two and a half hours. The stretching exercise was carried out in each patient's home every day following the video tape exercise provided by the researcher, and the researcher provided encouragement and concern to the patients by calling them once a week. The number times the exercise was performed was divided by the number of participants to calculate the percentage of performance and determine the amount of exercise. Self-efficacy was measured by the Self-Efficacy Scale developed by Lorig et al. (1989) for arthritis patients. The degree of pain was converted to scores based on the Visual Analog Scale, the number of tender points was converted to scores based on the criteria of the ACR(1990) and of Yunus. Depression was measured by CES-D and physical disability, sleep disturbance, fatigue, and anxiety of patients with fibromyalgia were measured by the Fibromyalgia Impact Questionnaire. The level of the exercise performance was converted to scores using the number of times the exercise was performed following the video tape prepared by Association of Rheumatology Health Professionals. Data were analyzed by SPSS windows and the results ire described below. 1. The experimental group which participated in the Self-Help Program showed higher efficacy scores than the control group when both groups were analyzed for depression and the number of tender points as common variables(F=9.146, p=.003). 2. The experimental group which participated in the Self-Help Program showed lower scores than the control group, for pain, the number of tender points, depression, physical disability, fatigue, sleep disturbance and anxiety. These symptoms of fibromyalgia can all be seen to have subsided(F=9.483, p=.003 : F=32.680, p=.001 ; F=11.104, p=.001, F=5.344 : p=.024, F=7.630 : P=.007, F=15.6512, p=.003 : F= 7.5412, p=.008). 3. In the experimental group, the self-efficacy score for the first three weeks showed a positive correlation with the exercise-performance score for four to six weeks (r=.387, p=.043). 4. In the experimental group, the relationship between the level of exercise-performance and the reduction of symptoms showed a significant correlation only to physical disability(r= -.500, p=.001). 5. In the experimental group, the relationship between the self-efficacy score and pain, the number of tender points, depression, physical disability, fatigue, sleep disturbance and anxiety score showed inverse correlations and thus, a reduction of symptoms occured when the self-efficacy score increased(r=-.325, p=.004 ; r= -.253, p=.027, r=-.452, p=.001 : r=-.434, p=.001 ; r=-.316, p=.005 ; r=-.460, p=.001 ; r=-.397, p=.014). Therefore, self-efficacy improved following the Self-Help Program including the stretching exercise. It was also found that physical symptoms (pain, number of tender points, level physical disability) and psychological symptoms (depression, fatigue, sleep disturbance, anxiety) were reduced. Moreover, It was found that the higher the self-efficacy, the the higher the degree of achievement of goals set for the stretching exercises. In addition, the level of exercise-performance influenced the level of physical disability, one of the symptoms of fibromyalgia. Accordingly, the conclusions from this study are that exercise-performance and the reduction of symptoms is achieved through promotion of self-efficacy. Therefore, it is proposed that are the Self-Help Program including stretching exercises is an appropriate nursing intervention for the reduction of symptoms of fibromyalgia.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.73-98
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• 2020

This study aims to redefine Vlog, ASMR, and Muk-bang contents as 'Need Fulfillment Video Contents,' which are emerging as major genres among the video contents. And this study explores the relationships between consumers' motives, viewing satisfaction, and consumers' characteristics such as demographic characteristics, big five personality traits, and individualism-collectivism tendencies in terms of uses and gratifications theory. Statistical analysis techniques such as factor analysis and hierarchical regression analysis were used to analyze 441 samples. As a result, age, income level, and collectivism were found to influence consumers' choice of Need Fulfillment Video Content genre. It was also found that the motivation of using Need Fulfillment Video Contents consisted of five factors: self-assessment and improvement, sensory stimulation and relaxation, entertainment, escapism and passing time, and following trends. Also, each usage motive influenced the viewing satisfaction in various ways. Based on the results of the analyses, the study concludes with discussion of the academic significance and practical implications for Need Fulfillment Video Contents industry development.

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1778-1785
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• 2010

This paper proposes a new video-based method of analyzing human gait which is a highly variable dynamic process. It captures a human gait of varying directions as a trajectory in the phase space. The proposed method includes two options of a stochastic process model and a self-organizing feature map as the tool of feature space representation and analysis. Test results show that the model is highly intuitive and we believe it can contribute to our understanding of human activity as well as gait behavior.

• Korean Journal of Adult Nursing
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• v.20 no.4
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• pp.548-560
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• 2008

Purpose: This study was conducted to develop a simulation-based education course and to evaluate the results after the application for second year nursing students. Methods: This study was a non-equivalent control pre-post design. Based on the clinical situation scenarios about patients with COPD and MI, a total of two simulation-based learning modules was developed. Pretest and posttest was conducted to evaluate the difference in critical thinking disposition, problem solving, and clinical competence between two groups of 102 students for the experimental group, 2007 and 90 students for the control group, 2006. The experimental group conducted a clinical performance evaluation in the final test, on December 10, 2007. Results: In the experimental group, knowledge related to learning objectives was significantly increased and core intervention was performed almost exactly, but the same result was not observed in domains of analysis of laboratory test, and nursing education for patients. Self-evaluated clinical competence and problem solving level were significantly more improved in the experimental group than control group, but critical thinking disposition level wasn't. Conclusion: In conclusion, a simulation-based education course needs to utilize self-directed learning module like computer-based learning through web contents and MicroSim and video productions for improving nursing students' critical thinking.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6420-6426
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• 2013

The indoor areas for the commercial use of automatic monitoring systems of mobile robot localization improves the cognitive abilities and the needs of the environment with this emerging and existing mobile robot localization, and object recognition methods commonly around its great sensor are leveraged. On the other hand, there is a difficulty with a problem-solving self-location estimation in indoor mobile robots using only the sensors of the robot. Therefore, in this paper, a self-position estimation method for an enhanced and effective mobile robot is proposed using a marker and CCTV video that is already installed in the building. In particular, after recognizing a square mobile robot and the object from the input image, and the vertices were confirmed, the feature points of the marker were found, and marker recognition was then performed. First, a self-position estimation of the mobile robot was performed according to the relationship of the image marker and a coordinate transformation was performed. In particular, the estimation was converted to an absolute coordinate value based on CCTV information, such as robots and obstacles. The study results can be used to make a convenient self-position estimation of the robot in the indoor areas to verify the self-position estimation method of the mobile robot. In addition, experimental operation was performed based on the actual robot system.

• Proceedings of the KAIS Fall Conference
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• 2007.11a
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• pp.174-177
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• 2007

이동통신망의 규모나 서비스 등이 기하급수적으로 증가하기 때문에 데이터 트래픽에 대한 정확한 특성분석은 매우 어렵지만, 트래픽 특성분석이 망 설계나 운용에 상당한 영향을 미친다는 점을 고려하면, 데이터 트래픽 모델링에 대한 연구는 가장 기본적으로 이루어져야 할 사항이라 할 수 있다. 따라서 본 논문에서는 데이터 트래픽에 대한 특성을 분석하기 위해 cdma2000 시스템의 국제적인 표준화 단체인 3GPP2에서 언급한 HTTP, FTP, WAP, Near Real Time Video 트래픽에 대한 트래픽 특성을 분석하여 자기 유사성(Self-similarity)을 가짐을 입증하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.85-91
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• 2020

Recently, video-taping equipment such as CCTV have been seeing more use for crime prevention and general safety concerns. Since these video-taping equipment operates all throughout the day, the need for security personnel is lessened, and naturally costs incurred from managing such manpower should also decrease. However, technology currently used predominantly lacks self-sufficiency when given the task of searching for a specific object in the recorded video such as a person, and has to be done manually; current security-based video equipment is insufficient in an environment where real-time information retrieval is required. In this paper, we propose a technology that uses the latest deep-learning technology and OpenCV library to quickly search for a specific person in a video; the search is based on the clothing information that is inputted by the user and transmits the result in real time. We implemented our system to automatically recognize specific human objects in real time by using the YOLO library, whilst deep learning technology is used to classify human clothes into top/bottom clothes. Colors are also detected through the OpenCV library which are then all combined to identify the requested object. The system presented in this paper not only accurately and quickly recognizes a person object with a specific clothing, but also has a potential extensibility that can be used for other types of object recognition in a video surveillance system for various purposes.