• Health Policy and Management
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• v.30 no.1
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• pp.120-125
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• 2020

Unmet healthcare needs lead to increased disease severity, increased likelihood of complications, and worse disease prognosis. To examine the latest status of unmet healthcare needs in South Korea, the four different data configured with nationally representative sample of South Korean population were used: the Korea Health and Nutrition Examination Survey (KNAHANES, 2007-2018), the Community Health Survey (CHS, 2008-2018), the Korea Health Panel Survey (KHP, 2011-2016), and the Korean Welfare Panel Study (KOWEPS, 2006-2018). The proportion of individuals reporting unmet healthcare needs were 7.8% (KNHANES, 2018), 8.8% (CHS), and 10.8% (KHP, 2016). Annual percentage change which characterizes trend for the follow-up period was -9.1%, -3.2%, and -6.8%, respectively. The proportion of individuals reporting unmet healthcare needs due to cost were 1.2% (KNAHANES, 2018), 1.2% (CHS, 2018), 2.5% (KHP, 2016), and 0.5% (KOWEPS, 2018). Annual percentage change which characterizes trend for the follow-up period was -10.3%, -12.0%, -11.3%, and -18.8, respectively. The low-income population and the elderly population were vulnerable groups reporting the highest rate of unmet health care needs. The rate of unmet healthcare needs has been declining since the past decade, still, the disparity between different income groups and age groups suggests that there are many challenges to address.

• Journal of Climate Change Research
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• v.5 no.3
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• pp.231-248
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• 2014

The goal of this research is to develop an evaluation method applying 'Green Management Index' introduced by Korean government to assess overall Green management level of the industrial sector. The method can help to grasp the present condition of Green management in Korea and analyze changes in trend. For this research, business types are classified into 8 categories and each evaluation method is developed according to each category. Green management evaluation was conducted in 2013, targeting 513 enterprises and the result was analyzed comparing that of 2011 to understand changes in trend. The evaluation shows that 1) 'strategy and system' section is tentatively vulnerable than other sections, 2) industry with higher sensitivity towards regulations has higher score, 3) there is a significant gap conducting green management between conglomerates and SMEs especially in 'system' section. The total score was elevated by 3 points compared to 2011. It is considered that the elevation of score was attributed to tightened regulations such as Target Management Scheme. Controlled Entities scored 4 points higher and 'GHG and environmental pollution' section increased by 10 points. Also, there is a wide disparity in green management evaluation between controlled entities and non-controlled entities from 5 points in 2011 to 10 points in 2013.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.256-257
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• 2022

In this paper, we introduce a method of extracting three-dimensional feature points through the movement of a single mobile device. Using a monocular camera, a 2D image is acquired according to the camera movement and a baseline is estimated. Perform stereo matching based on feature points. A feature point and a descriptor are acquired, and the feature point is matched. Using the matched feature points, the disparity is calculated and a depth value is generated. The 3D feature point is updated according to the camera movement. Finally, the feature point is reset at the time of scene change by using scene change detection. Through the above process, an average of 73.5% of additional storage space can be secured in the key point database. By applying the algorithm proposed to the depth ground truth value of the TUM Dataset and the RGB image, it was confirmed that the\re was an average distance difference of 26.88mm compared with the 3D feature point result.

• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.11-22
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• 2024

PURPOSE: This study examined the effects of lumbar stabilization exercise using a Pilates reformer on the visual analog scale (VAS), Oswestry disability index (ODI), and quality of life of patients with chronic low back pain. METHODS: The study evaluated individuals aged 30 years and above who had been suffering from persistent back pain exceeding three months. The participants were allocated into two groups: an experimental cohort of 15 individuals utilizing a reformer and a control group of 15 individuals engaging in lumbar stabilization exercises on a mat without a reformer for eight weeks. Each exercise session encompassed a 10-minute warm-up, a 30-minute main exercise, and a 10-minute cool-down, totaling 50 minutes. The lumbar stabilization group using the reformer was also subjected to the same level of resistance provided by the springs. Assessments were conducted before and after the intervention using the VAS, ODI, and quality of life evaluations. RESULTS: Significant disparity existed between the experimental group utilizing the reformer and the control group before and after the intervention in terms of the VAS, ODI change, and quality of life change (p < .05). Furthermore, a significant distinction was observed in the comparison between the experimental and control groups (p < .05). CONCLUSION: Both cohorts showed a decrease in pain, a decrease in the ODI, and an improvement in the quality of life. Furthermore, the experimental group exhibited superior outcomes to the control group regarding pain reduction, reduction in the ODI, and improved quality of life.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.81-89
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• 2004

In this paper, we compare face recognition rate by PCA algorithm using distance change and embedded data being input left side and right side image in stereo images. The proposed method detects face region from RGB color space to YCbCr color space. Also, The extracted face image's scale up/down according to distance change and extracts more robust face region. The proposed method through an experiment could establish standard distance (100cm) in distance about 30∼200cm, and get 99.05% (100cm) as an average recognition result by scale change. The definition of super state is specification region in normalized size (92${\times}$112), and the embedded data extracts the inner factor of defined super state, achieved face recognition through PCA algorithm. The orignal images can receive specification data in limited image's size (92${\times}$112) because embedded data to do learning not that do all learning, in image of 92${\times}$112 size averagely 99.05%, shows face recognition rate of test 1 99.05%, test 2 98.93%, test 3 98.54%, test 4 97.85%. Therefore, the proposed method through an experiment showed that if apply distance change rate could get high recognition rate, and the processing speed improved as well as reduce face information.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.1-8
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• 2017

Depending on the degree of access to information, social inequalities, especially economic inequalities, can increase. The information gap can lead to an income disparity, leading to an economic disparity. Recently, as we have evolved into a smart environment, our society is in a more complex situation in the digital divide. In the smart environment, unlike the wired Internet based environment based on the existing PC, various media services that are not tied to the transmission means are emerging and the information gap in the smart environment is causing even more serious problems. The purpose of this study is to analyze the correlation between the informatization level and income of the Korean people based on the information gap index and the results of surveys conducted on the general public in Korea. If there is a difference in the level of income depending on the level of access, utilization, and utilization of information by the Korean people, a new approach or change is needed in the policy or strategy for resolving the digital divide of the Korean government.In particular, it should be accompanied by the consideration and concern for the information alienated group and efforts for the continuous support for the solution of the digital divide. The results show that the correlation between the informatization level of the Korean people and the household income is statistically significant (+). In addition, the correlation coefficient trend is positive, suggesting that the government needs various informatization policies to increase the informatization level of the general public in Korea.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.1
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• pp.94-110
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• 2008

This study examines the unemployment and labor market demand dynamics as well as their implication for social exclusion in the metropolitan areas of Korea since the financial crisis of 1997. The unemployment research containing significant implication for social exclusion is a key area to be explored with the research of skill and income polarization due to structural economic transformation. Skill polarization usually results in the job loss for some people, which most likely leads to the economic deprivation and social exclusion. The unemployment rate and its regional disparity began to fall since 2000, but the disparity reversed to increase after 2005. The labor market dynamics of the metropolitan areas are turned out to be related with the size of the city and the relative shares of both manufacturing and service sectors. In addition, the employment growth is turned out to be related with the changes of both output and productivity. It is also found that the unemployment is affected with the job change and the tertiarization of the economy. However, it is of more significance to recognize that the dynamics and patterns of the labor market in the metropolitan areas are quite spatially differentiated and the differentiation is likely determined by the factors such as industrial structure, employment dynamics and job demand changes.

• 재활복지
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• v.18 no.4
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• pp.1-24
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• 2014

The purpose of this study is to analyze that change of social environment, disability perspective and rehabilitation paradigm of Korea rehabilitation for the past 60 years and to propose future direction for rehabilitation of Korea. The major results of this study are summarized as follow : First of all, there is a disparity of 30 years between persons with disabilities and persons without disabilities for the perspective of social inclusion in Korea. Second, social environment is one of the most important effective variable on rehabilitation for persons with disabilities in Korea, it has been rapidly changed from agrarian society, going through industrial society and intellectual society, to convergence society. Third, disability perspective has been changing to universalist model with change of the social environment and also paradigm of the rehabilitation has been changing from the target of treat, education and training to the member of society that can empower and support persons with disabilities. Forth, rehabilitation policies have been changing from the welfare policies to the empowerment policies in company with change of paradigm. On the basis of the results, the following suggestions can be made : First, universalist model have to be permeated in the society at large. Second, rehabilitation paradigm should change to emphasize the holistic and universalist perspective. Third, the main purpose of rehabilitation policies are equality, mean and target of the policies are to emphasize universal services.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.3 s.309
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• pp.30-38
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• 2006

In this paper, we improved to drops recognition rate according to distance using distance and depth information with 3D from stereo face images. A monocular face image has problem to drops recognition rate by uncertainty information such as distance of an object, size, moving, rotation, and depth. Also, if image information was not acquired such as rotation, illumination, and pose change for recognition, it has a very many fault. So, we wish to solve such problem. Proposed method consists of an eyes detection algorithm, analysis a pose of face, md principal component analysis (PCA). We also convert the YCbCr space from the RGB for detect with fast face in a limited region. We create multi-layered relative intensity map in face candidate region and decide whether it is face from facial geometry. It can acquire the depth information of distance, eyes, and mouth in stereo face images. Proposed method detects face according to scale, moving, and rotation by using distance and depth. We train by using PCA the detected left face and estimated direction difference. Simulation results with face recognition rate of 95.83% (100cm) in the front and 98.3% with the pose change were obtained successfully. Therefore, proposed method can be used to obtain high recognition rate with an appropriate scaling and pose change according to the distance.

• Korean Journal of Cognitive Science
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• v.27 no.3
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• pp.355-376
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• 2016

We used holes defined by color similarity (Experiment 1) and binocular disparity (Experiment 2) to study how the inner contour of an object (i.e., boundary of a hole in it) is encoded in visual working memory. Many studies in VWM have shown that an object's boundary properties can be integrated with its surface properties via their shared spatial location, yielding an object-based encoding benefit. However, encoding of the hole contours has rarely been tested. We presented objects (squares or circles) containing a bar under a change detection paradigm, and relevant features to be remembered were the color of objects and the orientation of bars (or holes). If the contour of a hole belongs to the surrounding object rather than to the hole itself, the object-based feature binding hypothesis predicts that the shape of it can be integrated with color of an outer object, via their shared spatial location. Thus, in the hole display, change detection performance was expected to better than in the conjunction display where orientation and color features to be remembered were assigned to different parts of a conjunction object, and comparable to that in a single bar display where both orientation and color were assigned into a single bar. However, the results revealed that performance in the hole display did not differ from that in the conjunction display. This suggests that the shape of holes is not automatically encoded together with the surface properties of the outer object via object-based feature binding, but encoded independently from the surrounding object.