• Journal of Multimedia Information System
• /
• v.8 no.2
• /
• pp.101-110
• /
• 2021

In computer vision, single-image super resolution has been an area of research for a significant period. Traditional techniques involve interpolation-based methods such as Nearest-neighbor, Bilinear, and Bicubic for image restoration. Although implementations of convolutional neural networks have provided outstanding results in recent years, efficiency and single model multi-scalability have been its challenges. Furthermore, previous works haven't placed enough emphasis on real-number scalability. Interpolation-based techniques, however, have no limit in terms of scalability as they are able to upscale images to any desired size. In this paper, we propose a convolutional neural network possessing the advantages of the interpolation-based techniques, which is also efficient, deeming it suitable in practical implementations. It consists of convolutional layers applied on the low-resolution space, post-up-sampling along the end hidden layers, and additional layers on high-resolution space. Up-sampling is applied on a multiple channeled feature map via bicubic interpolation using a single model. Experiments on architectural structure, layer reduction, and real-number scale training are executed with results proving efficient amongst multi-scale learning (including scale multi-path-learning) based models.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.6
• /
• pp.1175-1184
• /
• 2015

A depth map is an image which contains 3D distance information. Generally, it is difficult to acquire a high resolution (HD), noise-removed, good quality depth map directly from the camera. Therefore, many researches have been focused on acquisition of the high resolution and the good quality depth map by up-sampling and pre/post image processing of the low resolution depth map. However, many researches are lack of effective up-sampling for the edge region which has huge impact on image perceptual-quality. In this paper, we propose an up-sampling method, based on joint bilateral filter, which improves up-sampling of the edge region and visual quality of synthetic images by adopting different weights for the edge parts that is sensitive to human perception characteristics. The proposed method has gains in terms of PSNR and subjective video quality compared to previous researches.

• Speech Sciences
• /
• v.15 no.2
• /
• pp.169-176
• /
• 2008

This study was intended to analyze difference of vocal folds movements between upon wakeup and in several hours later in the morning. The difference of vocal fold movements was compared with fundamental frequency and a range of fundamental frequencies from maximum to minimum. The participants were 30 female adults between 20 and 29 years old. Voice samples were collected from their reading sentence (Jeong, 1993). The first sampling was conducted within 5 minutes after wakeup, while the second on 1 hour after the first sampling. Finally, the third voice sample was collected on 6 hours after the second sampling. The results of this study were as follows: First, fundamental frequency of the participants were by hour significantly time-dependent(F=7.843). Post-hoc multiple comparison (LSD) was conducted to determine when the difference could be observed. The result showed significant differences between upon wakeup and 6 hours later (p< .001) and between 1 hour later and 6 hours later (p< .05). Second, there were a significantly time-dependent ranges of fundamental frequencies of participants by hour (F=3.130). According to the results of the LSD analysis the significant differences in range of fundamental frequencies were found between upon wakeup and 1 hour later and also between wakeup and 6 hours later (p< .05). The results above indicate that vocal fold movements upon wakeup is different from those of several hours later.

• Journal of Broadcast Engineering
• /
• v.25 no.2
• /
• pp.242-251
• /
• 2020

Recently, many deep convolutional neural networks for image super-resolution have been studied. Existing deep learning-based super-resolution algorithms are architecture that up-samples the resolution at the end of the network. The post-upsampling architecture has an inefficient structure at large scaling factor result of predicting a lot of information for mapping from low-resolution to high-resolution at once. In this paper, we propose a single image super-resolution using Channel Attention Residual Dense Block based on an iterative up-down sampling architecture. The proposed algorithm efficiently predicts the mapping relationship between low-resolution and high-resolution, and shows up to 0.14dB performance improvement and enhanced subjective image quality compared to the existing algorithm at large scaling factor result.

• Journal of The Korean Association For Science Education
• /
• v.14 no.3
• /
• pp.272-284
• /
• 1994

The aim of this research was to compare and analyze the children's ideas on evaporation and condensation between pre- and post-intervention. Forty-eight children from six elementary schools in Seoul and Kyung Ki provinces were sampled by stratified random sampling. A set of structured activities was then provided which allow children to explore evaporation and condensation phenomena. All of these activities had a preliminary phase which required the child to predict or speculate on evaporation and condensation using their existing knowledge. These structured activities on evaporation and condensation were reviewed by three professors and eigth primary school teachers. Their comments were used to revise the original contents of the structured activities. The data analysed were gathered by the questionaire and the interview. Pre- and post-intervention data related to evaporation and condensation were collected by the same teacher, and analysed into the same category scheme. Data coding was carried out several times by the researcher to ensure reliablity. Data collected were then classified and analyzed according to the types of children's ideas. The findings of this study were as follows: Results of this study showed that the the vocabulary used to describe the evaporation phenomena varied according to the context, and the scientific term "evaporated" was more frequently used by the older children after post-intervention. But everyday terms such as"dried up","disappered", "gone up" were also used by children as much as the level of pre-intervention. Scientific conception on the location of evaporated water, the factor of evaporation, the ideas about getting the water back and assumption about the physical state of the missing water has been increased for the most of the children after intervention. It was found that the intervention using was effective SPACE strategies regardless of the grade level of the children.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2005.11a
• /
• pp.513-517
• /
• 2005

The condition monitoring of rotating machinery such as turbines, pumps and compressors, determine what repairs are needed to avoid shutdown and disassembly of the machine in an industrial plant Many diagnosis methods have been developed for use when the machine is running at steady state, the stationary condition. But much information can be gained about a rotor's condition during non-stationary conditions such as run-up and run-down. Order tracking analysis is a powerful tool for analyzing the condition of a rotating machine when its speed changes over time. Powerful OTA using digital signal processing has some advantages(cheap hardware, the powerful methods, the accurate post processing) and also some disadvantages(calculation time, high speed sampling). New OTA tool based on the chirplet transform is similar to the short time Fourier transform. But, it has good resolution at high speed like other OTA methods based STFT and more resolution for constant frequency components than re-sampling OTA.

• Journal of Korean Public Health Nursing
• /
• v.3 no.1
• /
• pp.18-37
• /
• 1989

This study was done in order to analyze the factors which influenced the performance level of community health practitioners' task. Interview survey was done during the period from August to October, 1986. Interviewee were 166 CHPs among total of 217 CHPs in Kyonggi province area. Multiple stepwise regression and canonical correlation analysis were used to identify major factors influenced to perform community health practitioners' task. The results of this study were summarized as follows: 1. General characteristics of CHPs 1) Personal characteristics The average age of CHPs was 37.8 years and their marital status was $77.6\%$ of married, educational back-ground was $65.3\%$ of junior college graduation. Their job career was $38.6\%$ of between 1-3 years, $33.3\%$ of between 3-5 years, $22.2\%$ of less than 1 years. Most of CHPs$(62.8\%)$ were fully satisfied with their job, $33.3\%$ were moderately, and $3.8\%$ were not satisfied. 2) Working environmental condition Only $31.7%$ of CHPs were satisfied with their working condition of primary health post, $26.6\%$ were not satisfied. Half of CHPs$(52.5\%)$ replied having good cooperation with health center, $10.1\%$ replied bad. Cooperation with health subcenter was good in $32.9\%$, and bad in $21.9%$. Cooperation with private health institutions was good in $34.2\%$, bad in $21.6%$. 2. Performance level of community health practitioners' task Among a total of 52 contents of their functions medical history taking. physical examination, referral of diagnostic laboratory work-up($(86.4\%)$, health assessment of pregnant women$(82.1\%)$, development of health information system$(79.4\%)$, supervision of health workers $(78.4\%)$, follow-up of family planning acceptors$(77.3\%)$, and follow-up of family planning acceptors' side effects$(77.3\%)$ were actively performed. Diagnosis of pregnancy$(62.1\%)$, sampling of drinking water for quality test$(52.5\%)$, making list of equipment' & supplies $(51.5\%)$, evaluation of primary health post activities $(37.6\%)$, organization of village health workers$(32.4\%)$ and management of village health workers $(30.1\%)$ were poorly performed. 3. Stepwise multiple regression analysis of job function The factors which influenced the performance level of community health practitioners' function were age, marital status, educational level, job career, job satisfaction, satisfaction of working environment of primary health post, cooperation of health center, cooperation of health center, cooperation of private health instiutions in orders. These 9 variables were able to explain job function from $25.7\%$ of program planning to $6.7\%$ of management of common disease. 4. Canonical correlation analysis between the performance of function and general characteristics of CHPs. Cooperation of private health institutions was found to be the factor influencing task performance of community organization, management of primary health post, technical supervision of health personnels. Job satisfaction of CHPs was also found to be the factor influencing task performance of family planning, management of common disease and maintenance of health information system.

• Safety and Health at Work
• /
• v.13 no.2
• /
• pp.235-239
• /
• 2022

Background: The purpose of present study was to determine the effectiveness of training program based on job stress management in NEDSA and line staff. Methods: The study method of this study was quantitative and quasi-experimental research Methods: From the statistical population (all employees of the NEDSA and line staff in 2020-2021), 30 of these people were selected by judgmental sampling method and considering the inclusion and exclusion criteria. The participants were first matched based on age and education and were randomly divided into experimental and control groups. First, pre-test was taken from both groups (Job Stress Questionnaire). The experimental group was presented with a job stress management training package and no protocol was presented in the control group. After the sessions, post-test was received from both groups (experimental and control). After two months, a follow-up test was performed. Results: The results were entered into SPSS-24 software and analyzed. The results of repeated measure showed high effectiveness of the job stress management package (researcher-made). The results showed that the job stress management training package showed 67.5% effectiveness and also the training effect of job stress management training was stable for two months (follow-up). Conclusion: Based on these results, Training program based on stress management can be effective in military staff.

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2003.11a
• /
• pp.79-84
• /
• 2003

The main objective of this study was to investigate the chemical characteristics of post-harvest biomass burning aerosols from field burning of barley straw in late spring and rice straw in late fall in rural area in Korea. 12-hr integrated intensive sampling of $PM_{10}$ and $PM_{2.5}$ biomass burning aerosols had been conducted continuously at Gwangju, Korea 4-15 June 2001 and 8 October-14 November 2002. The fine and coarse particles of biomass burning aerosols were collected for mass, ionic, elemental, and carbonaceous species analysis. Average fine and coarse mass concentrations of biomass burning aerosols were measured to be 129.6, 24.2 ${{\mu}gm}^{-3}$ in June 2001 and 47.1, 33.2 ${{\mu}gm}^{-3}$ in October to November 2002, respectively. Exceptionally high level of $PM_{2.5}$ concentration up to 157.8 ${{\mu}gm}^{-3}$ well above 24-hour standard was observed during the biomass burning event days under stagnant atmosphere condition. During biomass burning periods dominant ionic species were $Cl^{-}$, ${NO_3}^{-}$, ${SO_4}^{2-}$, and ${NH_4}^{+}$ in fine and coarse mode. In the fine mode $Cl^{-}$ and ${KCl}^{+}$ were unusually rich due to the high content of the semiarid vegetation. High OC values and OC/EC ratios were also measured during the biomass burning periods. Increased amount of fine aerosols with high enrichment, which were originated from biomass burning of post-harvest agricultural waste, resulted in extremely severe particulate air pollution and visibility degradation in the region. Particulate matters from open field burning of agricultural wastes cause great adverse impact on local air quality and regional climate.

• Journal of the Korean Society of Physical Medicine
• /
• v.17 no.2
• /
• pp.41-51
• /
• 2022

PURPOSE: The functional limitations in stroke survivors promote sedentary lifestyles and quality of life inadequacies, but there is increasing evidence that this could be minimized by physical exercise. Therefore, this study examined the effects of physical exercise on the quality of life (QoL) and functional capacity (ability to stand up from a sitting position) among stroke survivors drafted from two tertiary hospitals in Osogbo, Nigeria. METHODS: A purposive sampling technique was used to select 21 registered right or left outpatient hemiplegic stroke survivors in a pre- and post-test experimental research design. The research questions were presented using descriptive statistics of frequency, percentage, mean and standard deviation, while an Analysis of Variance (ANOVA) was used to test the study hypothesis at the .05 alpha level for significance. RESULTS: Compared to the baseline (week 0), there were significant increases in the general quality of life, healthy well-being, physical exercise, pain perception, and environmental domains of QOL among the survivors in week four. Moreover, a significant increase was observed in these indices in week eight, compared to week four, except for the pain perception domain. Compared to the baseline, there was a significant decrease in the time it took the stroke survivors to stand up from a sitting position in week four. A significant decrease was observed in this index in week eight compared to week four. CONCLUSION: Marked corridor 20 meters brief walking exercise for eight weeks significantly improved the quality of life and ability to stand up from a sitting position in stroke survivors in Osogbo, Nigeria.