• Journal of Naturopathy
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• v.13 no.1
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• pp.1-13
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• 2024

Background: There is a need for the development of non-verbal music therapy programs to enhance the social skills of children with intellectual disabilities who face challenges in verbal communication. Objective: The purpose of this study is to propose a music therapy program aimed at improving the social skills of children with intellectual disabilities and to evaluate its clinical effectiveness. Method: This study designed a Social Skills Training based Musical Instrument performance (SST-MIP) intervention program that integrates existing musical instrument performance and social skills in music therapy and targeted children with intellectual disabilities. Clinical effectiveness was evaluated. A total of 51 participants were randomly assigned to either the experimental group (29 participants) or the control group (22 participants). The experimental group participated in the SST-MIP intervention program once a week for 50 minutes over 32 weeks. The level of social skills of the participants was measured using the Social Skills Rating System (SSRS - teacher form, elementary level). Results: The average SSRS score of the experimental group increased by 109.2% from 10.7 to 22.4 (p <.001), while the control group showed a relatively modest increase of 30.7% from 11.3 to 14.7 (p <.05). After the SST-MIP intervention, the SSRS score of the experimental group was 57.2% higher than that of the control group, with significant improvements in specific areas of social skills: self-control (79.6%), assertion (56.8%), and cooperation (43.2%). Conclusion: The SST-MIP has been found to significantly enhance the social skills of children with intellectual disabilities. The proposed SST-MIP intervention is expected to be a useful tool for training social skills in children with intellectual disabilities who struggle with verbal communication.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.4
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• pp.259-266
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• 2014

Understanding the forest fire patterns is necessary to comprehend the stability of the forest ecosystems. Thus, researchers have suggested the simulation models to mimic the forest fire spread dynamics, which enables us to predict the forest damage in the scenarios that are difficult to be experimentally tested in laboratory scale. However, many of the models have the limitation that many of them did not consider the complicated environmental factors, such as fuel types, wind, and moisture. In this study, we suggested a simple model with the factors, especially, the geomorphological structure of the forest and two types of fuel. The two fuels correspond to susceptible tree and resistant tree with different probabilities of transferring fire. The trees were randomly distributed in simulation space at densities ranging from 0.5 (low) to 1.0 (high). The susceptible tree had higher value of the probability than the resistant tree. Based on the number of burnt trees, we then carried out the sensitivity analysis to quantify how the forest fire patterns are affected by the structure and tree density. We believe that our model can be a useful tool to explore forest fire spreading patterns.

• Journal of Korea Multimedia Society
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• v.12 no.7
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• pp.1032-1042
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• 2009

This research is for early extraction and utilization of semantic information from the tags in tagged Web image retrieval. Generally, users attach a tag to a Web image with little thought of the order, up to over 100 ones. In this paper, we suggest a method of selecting prior tags based on their importance when tagged images are uploaded, and using them in image retrieval. Ideas came from the recognition of the important tags which give a better description of the image as the tags sharing more semantic information with other tags of the same image. This method includes calculation of relation scores between tags based on WordNet and multilevel search of tagged images with the scores. For evaluation, we compared the suggested method and other retrieval methods searching images with simple matching of tags to a given keyword. As the results, we found the superiority of our method in precision and recall rate.

• Economic and Environmental Geology
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• v.40 no.6
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• pp.739-749
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• 2007

The seismic velocity at the formation varies widely with physical properties in the layers. These features on seismic shot gathers are not capable of reproducing normally by numerical modeling of homogeneous medium, so that we need that of random inhomogeneous medium instead. In this study, we conducted Gaussian autocorrelation function (ACF), exponential autocorrelation function and von Karman autocorrelation function for getting inhomogeneous velocity model and applied a simple geological model. According to the results, von Karman autocorrelation function showed short wavelength to the inhomogeneous velocity medium. For numerical modeling for a gas hydrate, we determined a geological model based on field data set gathered in the East sea. The numerical modeling results showed that the von Karman autocorrelation function could properly describe scattering phenomena in the gas hydrate velocity model which contains an inhomogeneous layer. Besides, bottom-simulating-reflectors and scattered waves which appear at seismic shot gather of the field data showed properly in the inhomogeneous numerical modeling.

• Journal of Pharmacopuncture
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• v.5 no.2
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• pp.25-38
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• 2002

Spiral taping shows great effectiveness in relieving musculoskeletal pains. The purpose of this research is to compare effectiveness of herbal acupuncture of Carthami semen(Honghwa) vs its cotreatment with spiral taping for the treatment of acute low back pain. The target patients were those who satisfied with all of the following conditions. 1. Those who suffered from acute low back pain but without past history of the pain in the last six weeks. 2. The pain wasn't radiated to the lower limbs and were without any neurotic symptoms. A computerized randomization was used to set the patients in two groups. The control group was consisted of 41 patients and treated with herbal acupuncture. The experimental group was consisted of 49 patients and treated with spiral taping as well as herbal acupuncture. The treatment was given two times a week and the nurses measured the ROM and VAS evaluation before every treatment. The patients wrote ODI by themselves before the first treatment and after the 3rd treatment. After three months, an interview of the patients' condition through a follow up survey was done. In terms of acute low back pain in both the control group and experimental group, significant treatment effects were found by assessing VAS, ROM and ODI. By comparing the control group and the experimental group, there was more significant improvement in the experimental group than the control group of VAS and ROM, but no significant effect was found between the groups of ODI. This study shows that the herbal acupuncture of Carthami Semen plays a significant role in relieving acute low back pain. It also shows that spiral taping of the experimental group was more highly effective. As a result, spiral taping can be used with acupunture of Carthami Semen for a highly effective treatment for acute low back pain.

• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1284-1294
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• 2007

In this paper, a blind nonlinear channel equalization is implemented by using a Modified Fuzzy C-Means (MFCM) algorithm. The proposed MFCM searches the optimal channel output states of a nonlinear channel from the received symbols, based on the Bayesian likelihood fitness function instead of a conventional Euclidean distance measure. Next, the desired channel states of a nonlinear channel are constructed with the elements of estimated channel output states, and placed at the center of a Radial Basis Function (RBF) equalizer to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with that of a hybrid genetic algorithm (GA merged with simulated annealing (SA): GASA), and the relatively high accuracy and fast searching speed are achieved.

• Journal of IKEEE
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• v.22 no.3
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• pp.658-663
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• 2018

In this paper, we consider node deployment algorithms for the sequence-based localization (SBL) which is recently employed for in-door positioning systems, Whereas previous node selection or deployment algorithms seek to place nodes at centrold of the region where more targets are likely to be found, we observe that the boundaries dividing such regions can be good locations for the nodes in SBL systems. Motivated by this observation, we propose an efficient node deployment algorithm that determines the boundaries by using the well-known K-means algorithm and find the potential node locations based on the bi-section method for low-complexity design. We demonstrate through experiments that the proposed algorithm achieves significant localization performance over random node allocation with a substantially reduced complexity as compared with a full search.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.569-578
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• 2020

By estimating conditional quantile functions of the response, quantile regression (QR) can provide comprehensive information of the relationship between the response and the predictors. In addition, kernel quantile regression (KQR) estimates a nonlinear conditional quantile function in reproducing kernel Hilbert spaces generated by a positive definite kernel function. However, it is infeasible to use the KQR in analysing a massive data due to the limitations of computer primary memory. We propose a divide and conquer based KQR (DC-KQR) method to overcome such a limitation. The proposed DC-KQR divides the entire data into a few subsets, then applies the KQR onto each subsets and derives a final estimator by aggregating all results from subsets. Simulation studies are presented to demonstrate the satisfactory performance of the proposed method.

• Journal of Internet Computing and Services
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• v.8 no.4
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• pp.93-103
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• 2007

Networking environments are exposed to outside attacks and privacy threats. Due to broadcast nature of radio transmissions, wireless devices experience more vulnerable situations than those of wired network devices. This paper assumes that a wireless device has two network interfaces, one for accessing internet using 3G services, and the other for constructing an ad hoc network. To deal with privacy threats, this paper introduces an approach in which wireless devices form a special ad hoc network in order to exchange data using anonymous communications. One or more intermediate peers should be involved in the construction of an anonymous path. The proposed anonymous communication mechanism discourages traffic analysis and improves user privacy. According to simulation results, the anonymous connection in an ad hoc network prefers the intermediate peer(s) which is located near the source and/or the destination peer, rather than randomly-selected peers.

• Journal of the Korea Society of Computer and Information
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• v.13 no.3
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• pp.99-106
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• 2008

Recently, digital music retrieval is using in many fields (Web portal. audio service site etc). In existing fields, Meta data of music are used for digital music retrieval. If Meta data are not right or do not exist, it is hard to get high accurate retrieval result. Contents based information retrieval that use music itself are researched for solving upper problem. In this paper, we propose Same music recognition method using similarity measurement. Feature data of digital music are extracted from waveform of music using Simplified MFCC (Mel Frequency Cepstral Coefficient). Similarity between digital music files are measured using DTW (Dynamic time Warping) that are used in Vision and Speech recognition fields. We success all of 500 times experiment in randomly collected 1000 songs from same genre for preying of proposed same music recognition method. 500 digital music were made by mixing different compressing codec and bit-rate from 60 digital audios. We ploved that similarity measurement using DTW can recognize same music.