• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1176-1194
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• 2018

The object classification using the images' contents is a big challenge in computer vision. The superpixels' information can be used to detect and classify objects in an image based on locations. In this paper, we proposed a methodology to detect and classify the image's pixels' locations using enhanced bag of words (BOW). It calculates the initial positions of each segment of an image using superpixels and then ranks it according to the region score. Further, this information is used to extract local and global features using a hybrid approach of Scale Invariant Feature Transform (SIFT) and GIST, respectively. To enhance the classification accuracy, the feature fusion technique is applied to combine local and global features vectors through weight parameter. The support vector machine classifier is a supervised algorithm is used for classification in order to analyze the proposed methodology. The Pascal Visual Object Classes Challenge 2007 (VOC2007) dataset is used in the experiment to test the results. The proposed approach gave the results in high-quality class for independent objects' locations with a mean average best overlap (MABO) of 0.833 at 1,500 locations resulting in a better detection rate. The results are compared with previous approaches and it is proved that it gave the better classification results for the non-rigid classes.

• Journal of The Korean Society of Clinical Toxicology
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• v.7 no.2
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• pp.69-76
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• 2009

Purpose: Various electrocardiogram (ECG) changes can occur in patients with acute organophosphate poisoning (OPP) and may be associated with the clinical severity of poisoning. The present study aimed to evaluate the extent and frequency of ECG changes and cardiac manifestations, and their association with acute OPP clinical severity. Methods: Seventy-two adult patients admitted to our emergency department with a diagnosis of acute OPP were studied retrospectively. ECG changes and cardiac manifestations at admission were evaluated. ECG changes between respiratory failure (RF) group and no respiratory failure (no RF) groups were compared. Results: Prolongation of QTc interval (n=40, 55.6%) was the most common ECG change, followed by sinus tachycardia (n=36, 50.0%). ST-T wave changes such as ST segment elevation or depression and T wave change (inversion or non-specific change) were evident in 16 patients (22.2%). Prolongation of QTc interval was significantly higher in the RF group compared with the no RF group (p=0.03), but was not an independent predictor for RF in acute OPP (OR; 4.00, 95% CI; 0.70-23.12, p=0.12). Conclusion: While patients with acute OPP can display ECG changes that include prolongation of QTc interval, sinus tachycardia, and ST-T wave changes at admission, these changes are not predictors of respiratory failure.

• The Transactions of the Korea Information Processing Society
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• v.4 no.5
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• pp.1172-1181
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• 1997

A militimedia data is a data mixed of formatted data like an audio and video. Multimedia data has characteristics that it need large amount of storage,wide network bandwith andreal time responsibolity. Because of these characteristocs, the VOD server and continous media storage server have a disk stripe structure or disk stripe sructure or disk array structure(RAID).In the parallel disk access system,high-speed play-back of continous media using segment interleavung may not ensure Qos pf other cioents because of the concentrated load within some disks. The load concentration of disks is related to both the number of disks in the system and playback rate of contimous media.In this paper. we describe that high-speed playback scheme,which is independent of the number of disk and plyback rate can be achieved by technique of changing the in-teval of access to segnent location.We show the experimental result of this technique in this pater.

• Journal of International Academy of Physical Therapy Research
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• v.11 no.2
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• pp.2090-2095
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• 2020

Background: Spinal Mobilization is one of the manual therapy technique that clinicians have used to treat pain, however, there is still a lack of research on changes in strength in healthy people. Objectives: To investigate the effect of posterior-anterior lumbar mobilization on lower limb strength in healthy individuals. Design: Two-group pretest-posttest design. Methods: In this study, 23 healthy subjects aged 20 years were assigned to 12 lumbar mobilization group (LMG) and 12 sham group (SG) to perform intervention and measurement through pre- and post-design. Intervention was performed in LMG with grade III~IV on L3-5 of the lumbar spine, and lumbar mobilization was performed for each segment. After intervention, knee flexion and extension strength were measured. To measure the main effect on muscle strength, a comparative analysis was conducted using paired t-test and independent t-test. Results: In LMG, knee flexor and extensor strength were increased significantly at 60°/s (P<.05). In addition, the extensors of LMG and SG were significantly different only at 60°/s, and the flexors were significantly different between groups at both 60°/s and 180°/s (P<.05). Conclusion: In healthy individuals, lumbar mobilization results in improvement of strength of knee flexor and extensor, and additional experiments on the effect of mobilization on the lumbar spine on functional changes in the lower limbs will be needed.

• Asia Pacific Journal of Business Review
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• v.4 no.2
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• pp.1-21
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• 2020

The purpose of this research is to investigate young consumer motivation in regards to shopping mall. Young adults are an emerging age group that has economic autonomy and power of making independent decisions. In addition, this young segment providing an interesting challenges and opportunities for marketing professionals. Therefore, it is pertinent to analyse their shopping motivations, so that the marketers can understand and influence the consumption behaviour of this specific group. A survey using self-administered questionnaire was conducted to assess the mall-directed shopping habits and shopping orientations. A total of 164 usable surveys were obtained. In addition of exploratory factor analysis, confirmatory factor analysis and structural equation modeling was applied to prove the hypotheses. We have found that young Australian shoppers were motivated to visit malls primarily by the role enactment and exploration dimensions. They were the strongest motivators which explaining why young Australian consumers patronize malls. Young consumers of Australia enjoyed the mall environment, exploring new things, socializing with friends, comparing prices and the variety of products and services offered. The results of our study have several implications that should be of benefit to the retailing industry and mall management. Developers of malls must develop their mall more than simply a place for buying products. As such, mall management should make sure that their mall atmospherics offer a mall environment that is pleasing to multiple senses, to ensure it is conducive for shoppers to stay and spend more of their time and money. Mall management must execute strategies to maintain their attraction to younger consumers, perhaps by including stores that are futuristic and offer the most advanced styles or technologies, and appeal to somewhat older adults by offering the tenant, entertainment, and experience mix they will prefer. It is recommended that future research utilize random sampling methods to ensure the generalizability of results.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.461-469
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• 2000

In the paper, the design and the implementation of the netscape plug-in and the speech synthesis enginegenerating the speech sounds from the text information of the web pages are described. The steps of the generating speech sound from an web pages are the speech synthesis plug-in is activated when the netscape finds the audio/xesp MIME data type embedded in the browsed web page; the HTML file referenced in the EMBED MTML tag is down loaded from the referenced URL to send to the commander object located in the said plug-in; The speech synthesis engine control tags and the text characters are extracted from the down loaded HTML document by the commander object the synthesized speech sounds are generated by the speech synthesis engine. The speech synthesis engine interprets the command streams from the commander objects to call the member functions for the processing of the speech segment data in the data banks. The commander object and the speech synthesis engine are designed as an independent object to enhancethe flexitility and the portability.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.135-159
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• 2021

This study aims to analyze communication and experiences between public libraries and to identify these factors affect user satisfaction. Customer experience management (CEM), which is currently used in various fields of management and marketing, was applied to segment and analyze user experiences. After reviewing CEM research in marketing and management to derive user experience points, set physical environment, human factors, communication, and service as independent variables, emotional pleasure as parameters, and user satisfaction as dependent variables. Based on this, questionnaire items were constructed. The survey method was conducted in two ways, online and offline (face-to-face), and statistical analysis was performed based on a total of 60 questionnaires collected. The results indicate the higher the user's experience with the physical environment and convenience, the higher the satisfaction level, but library accessibility had no significant effect. In addition, library staff attitude and problem-solving ability had a great influence on user satisfaction, and problem-solving ability had a more important influence than kindness and emotional pleasure was found to have an mediating effect.

• Korean Journal of Applied Biomechanics
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• v.32 no.3
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• pp.87-93
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• 2022

Objective: The purpose of this research was to investigate the age-related changes in whole-body motor variability during sit-to-stand (STS) task. It has been reported that children perform motor tasks less accurately with greater variability as compared to adults. However, it is still unknown how they utilize the abundant degrees of freedom and accomplish voluntary actions. Uncontrolled manifold (UCM) analysis has been used to partition motor variabilities into two independent variability components, task-relevant variability (V_ORT) and task-irrelevant variability (V_UCM). We investigated what differences exist between children and adults with respect to these two motor variability components in relation to motor development stages. Method: Ten 6-year-old children (height: 116.2 ± 4.3 cm, weight: 23.1 ± 3.9 kg, motor development assessment percentile score: 77.5 ± 18.6%), ten 10-year-old children (height: 138.7 ± 7.2 cm, weight: 35.8 ± 10.3 kg, motor development assessment percentile score: 73.9 ± 12.7%), and ten young adults (age: 23 ± 1.6 year-old, height: 164.3 ± 11.4 cm, weight: 60.8 ± 12.0 kg) participated in this study. Each participant performed STS ten times, and a motion capture system was used to capture the whole-body kinematics. Each segment centers of mass and the whole-body center of mass were calculated, and UCM analysis was used to quantify motor variabilities, V_ORT and V_UCM. One-way ANOVA was used for statistical analysis. Results: We found that children produced more motor variabilities in V_ORT and V_UCM in all three dimensions, anterior-posterior, medial-lateral, and vertical. As age increased, both, V_ORT and V_UCM significantly decreased (p<.05). Conclusion: The greater V_ORT found in children compared to adults indicates that the repeatability over repetitions improves through development, while the greater V_UCM found in children suggests that children better utilize the abundant degrees of freedom during STS compared to adults.

• Journal of Biomedical Engineering Research
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• v.44 no.2
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• pp.125-138
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• 2023

The development of AI systems for radiation therapy is important to improve the accuracy, effectiveness, and safety of cancer treatment. The current system has the disadvantage of monitoring patients using CCTV, which can cause errors and mistakes in the treatment process, which can lead to misalignment of radiation. Developed the PMRP system, an AI automation system that uses depth cameras to measure patient's fine movements, segment patient's body into parts, align Z values of depth cameras with Z values, and transmit measured feedback to positioning devices in real time, monitoring errors and treatments. The need for such a system began because the CCTV visual monitoring system could not detect fine movements, Z-direction movements, and body part movements, hindering improvement of radiation therapy performance and increasing the risk of side effects in normal tissues. This study could provide the development of a field of radiotherapy that lags in many parts of the world, along with the economic and social importance of developing an independent platform for radiotherapy devices. This study verified its effectiveness and efficiency with data through phantom experiments, and future studies aim to help improve treatment performance by improving the posture correction mechanism and correcting left and right up and down movements in real time.

• Journal of Biomedical Engineering Research
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• v.45 no.2
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• pp.95-100
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• 2024

Vitiligo is a condition characterized by the destruction or dysfunction of melanin-producing cells in the skin, resulting in a loss of skin pigmentation. Facial vitiligo, specifically affecting the face, significantly impacts patients' appearance, thereby diminishing their quality of life. Evaluating the efficacy of facial vitiligo treatment typically relies on subjective assessments, such as the Facial Vitiligo Area Scoring Index (F-VASI), which can be time-consuming and subjective due to its reliance on clinical observations like lesion shape and distribution. Various machine learning and deep learning methods have been proposed for segmenting vitiligo areas in facial images, showing promising results. However, these methods often struggle to accurately segment vitiligo lesions irregularly distributed across the face. Therefore, our study introduces a framework aimed at improving the segmentation of vitiligo lesions on the face and providing an evaluation of vitiligo lesions. Our framework for facial vitiligo segmentation and lesion evaluation consists of three main steps. Firstly, we perform face detection to minimize background areas and identify the face area of interest using high-quality ultraviolet photographs. Secondly, we extract facial area masks and vitiligo lesion masks using a semantic segmentation network-based approach with the generated dataset. Thirdly, we automatically calculate the vitiligo area relative to the facial area. We evaluated the performance of facial and vitiligo lesion segmentation using an independent test dataset that was not included in the training and validation, showing excellent results. The framework proposed in this study can serve as a useful tool for evaluating the diagnosis and treatment efficacy of vitiligo.