• The Journal of the Acoustical Society of Korea
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• v.22 no.4E
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• pp.150-154
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• 2003

The distortion effects of microphones have been analyzed and compensated at mel-frequency feature domain. Unlike popular bias removal algorithms a linear transformation of mel-frequency spectrum is incorporated. Although a diagonal matrix transformation is sufficient for medium-quality microphones, a full-matrix transform is required for low-quality microphones with severe nonlinearity. Proposed compensation algorithms are tested with HTIMIT database, which resulted in about 5 percents improvements in recognition rate over conventional CMS algorithm.

• Interdisciplinary Bio Central
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• v.1 no.3
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• pp.9.1-9.6
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• 2009

Introduction: In the mass spectrometry-based proteomics, biological samples are analyzed to identify proteins by mass spectrometer and database search. Database search is the process to select the best matches to the experimental mass spectra among the amino acid sequence database and we identify the protein as the matched sequence. The match score is defined to find the matches from the database and declare the highest scored hit as the most probable protein. According to the score definition, search result varies. In this study, the difference among search results of different search engines or different databases was investigated, in order to suggest a better way to identify more proteins with higher reliability. Materials and Methods: The protein extract of human mesenchymal stem cell was separated by several bands by one-dimensional electrophorysis. One-dimensional gel was excised one by one, digested by trypsin and analyzed by a mass spectrometer, FT LTQ. The tandem mass (MS/MS) spectra of peptide ions were applied to the database search of X!Tandem, Mascot and Sequest search engines with IPI human database and SwissProt database. The search result was filtered by several threshold probability values of the Trans-Proteomic Pipeline (TPP) of the Institute for Systems Biology. The analysis of the output which was generated from TPP was performed. Results and Discussion: For each MS/MS spectrum, the peptide sequences which were identified from different conditions such as search engines, threshold probability, and sequence database were compared. The main difference of peptide identification at high threshold probability was caused by not the difference of sequence database but the difference of the score. As the threshold probability decreases, the missed peptides appeared. Conversely, in the extremely high threshold level, we missed many true assignments. Conclusion and Prospects: The different identification result of the search engines was mainly caused by the different scoring algorithms. Usually in proteomics high-scored peptides are selected and low-scored peptides are discarded. Many of them are true negatives. By integrating the search results from different parameter and different search engines, the protein identification process can be improved.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.349-354
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• 2016

The emergence and dissemination of extended-spectrum ${\beta}$-lactamse (ESBL) producing Klebsiella pneumoniae isolates make it more difficult to treatment of bacterial infections. In our study, we detected ESBL genes and investigated antimicrobial susceptibility of K. pneumoniae isolates in Chungcheong province. In addition, clonality among the isolates was analyzed by repetitive element sequence (REP)-PCR. Twenty-one of 102 K. pneumoniae isolates produced CTX-M-14 and/or CTX-M-15 and showed high level (over 70%) resistance to third cephalosporins. CTX-M type ESBL producing K. pneumoniae strains isolated in our study showed diverse clonality and some of the isolates have been disseminated in the community. Enhancing infection control will be needed to prevent dissemination of the K. pneumoniae isolates. In addition, for more effective control of resistant bacteria it is considered necessary to monitor the database constructed through convergence of biological investigation and statistical analysis of antimicrobial resistance genes.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.35-46
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• 2017

The purpose of the study was to review the recent literature on applying augmented reality based educational contents for students with autism spectrum disorders and to identify research trends and implications. The search procedures through the Web-database system were implemented to find the proper research and a total of 12 studies were included in this review. The results indicated that most of subjects were elementary school-age children, also single subject design was mostly implemented. Mobile devices were used mostly for augmented reality, and most of data collection methods was behavioral observation. Results founded several contents types: objects manipulation, manipulation for self-modeling, on-site problem solving program, and location-based learning guide. Additionally, the results indicated that the educational effectiveness was the improvements of social behaviors, play and imitation behaviors, and emotion recognition. Furthermore, considerations to develop and apply augmented reality based educational contents for students with autism spectrum disorders were suggested.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.3
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• pp.39-52
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• 2020

Objective : The purpose of this study was to investigate the effect of parent education on feeding problems in children with autism spectrum disorder. Method : Articles published between 2000 and May 2019 were identified through a database search of Cochrane Library, Embase, Ovid-Medline, and PubMed as well as through additional manual searches. A total of six articles were selected and qualitatively analyzed according to the level of evidence of the study and arranged according to PICO (Patient, Intervention, Comparison, Outcome). Results : Six articles were used for the data analysis; four articles were at evidence level 1 and two articles were at evidence level 3. Behavioral therapy was the most common interventional approach to parent education, and all of the articles based on behavioral therapy had evidence level 1. Conclusion : This study examines the various ways of parenting to help families with autism spectrum children with feeding problems in order to find directions for parent education that can be applied in clinical practice.

• The Journal of the Acoustical Society of Korea
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• v.42 no.2
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• pp.94-101
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• 2023

A deep neural network composed of encoders and decoders, such as U-Net, used for speech enhancement, concatenates the encoder to the decoder through skip-connection. Skip-connection helps reconstruct the enhanced spectrum and complement the lost information. The features of the encoder and the decoder connected by the skip-connection are incompatible with each other. In this paper, for complex-valued spectrum based speech enhancement, Self-Attention (SA) method is applied to skip-connection to transform the feature of encoder to be compatible with the features of decoder. SA is a technique in which when generating an output sequence in a sequence-to-sequence tasks the weighted average of input is used to put attention on subsets of input, showing that noise can be effectively eliminated by being applied in speech enhancement. The three models using encoder and decoder features to apply SA to skip-connection are studied. As experimental results using TIMIT database, the proposed methods show improvements in all evaluation metrics compared to the Deep Complex U-Net (DCUNET) with skip-connection only.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.101-110
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• 2024

Purpose : The purpose of this study provided an overview of the general status and recent intervention approaches in overseas research related to feeding problems in children with autism spectrum disorder (ASD). This review aims to explore interventions for feeding problems in order to provide higher quality follow-up research directions and implications, particularly focusing on providing recommendations for future research in the context of domestic studies. Methods : Analyzing studies published in international journals from 2017 to 2023. This review involved six selected articles, through Embase, Pubmed, RISS, KISS database search engine. A literature analysis that includes inclusion and exclusion criteria, six selected articles were examined. The literature analysis categorized the general status of the research and intervention approaches and treatment components into intervention, treatment settings and therapists, and dependent variables, respectively. Results : Among feeding intervention approaches, parent education interventions based on behavioral therapy had the highest proportion, followed by multidisciplinary interventions. To maintain the effectiveness of interventions over the long term and to generalize them to the home environment, parent education that utilizes parents as mediators is considered a crucial factor. The most commonly observed effects as dependent variables were changes in the consumption of disliked foods, health foods and alterations in feeding behavior. Conclusion : This study introduces various intervention approaches for addressing feeding problems in children with autism spectrum disorder (ASD), focusing on the positive effects demonstrated by active intervention research in abroad. Furthermore, it underscores the need for additional research in Korea to validate the efficacy of these feeding intervention methods. Lastly, the study outlines future research directions aimed at developing feeding programs to support children with ASD and their families coping with feeding issues.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.4
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• pp.459-466
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• 2014

This paper deals with the method to classify the aircraft target by analyzing its JEM signal. We propose the method to classify the engine model by analyzing JEM spectrum using the harmonic frequency mask generated from the blade information of jet engine. The proposed method does not need the complicated logic algorithm to find the chopping frequency in each rotor stage and the pre-simulated engine spectrum DB used in the previous methods. In addition, we propose the method to estimate the precise spool rate and it reduces the error in estimating the number of blades or in calculating the harmonic frequency of frequency mask.

• Nuclear Engineering and Technology
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• v.52 no.12
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• pp.2852-2859
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• 2020

This paper deals with the simulation-based design optimization and experimental validation of the characteristics of an in-core silver Self-Powered Neutron Detector (SPND). Optimized dimensions of the SPND are determined by combining Monte Carlo simulations and analytical methods. As a first step, the Monte Carlo transport code MCNPX is used to follow the trajectory and fate of the neutrons emitted from an external source. This simulation is able to seamlessly integrate various phenomena, including neutron slowing-down and shielding effects. Then, the expected number of beta particles and their energy spectrum following a neutron capture reaction in the silver emitter are fetched from the TENDEL database using the JANIS software interface and integrated with the data from the first step to yield the origin and spectrum of the source electrons. Eventually, the MCNPX transport code is used for the Monte Carlo calculation of the ballistic current of beta particles in the various regions of the SPND. Then, the output current and the maximum insulator thickness to avoid breakdown are determined. The optimum design of the SPND is then manufactured and experimental tests are conducted. The calculated design parameters of this detector have been found in good agreement with the obtained experimental results.

• Investigative Magnetic Resonance Imaging
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• v.4 no.2
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• pp.128-135
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• 2000

Purpose : The aim of this study is to develope the Magnetic Resonance Spectroscopy(MRS) data processing S/W which plays an important role as a diagnostic tool in clinical field. Materials and methods : Post-processing software of MRS based on graphical user interface(GUI) under windows operating system of personal computer(PC) was developed using MATLAB(Mathwork, U.S.A.). This tool contains many functions to increase the quality of spectrum data such as DC correction, zero filling, line broadening, Gauss-Lorentzian filtering, phase correction, etc. And we obtained the normal human brain $^1H$ MRS data from parietal white matter, basal ganglia and occipital grey matter region using 1.5T Gyroscan ACS-NT R6 (philips, Amsterdam, Netherland) MRS package. The analysis of the MRS peaks were performed by obtaining the ratio of peak area. Results : The peak ratios of NAA/Cr, Cho/Cr, MI/Cr for the different MRS machines have a little different values. But these peak ratios were not significantly different between different echo time MRS peak ratios in the same machine (p<0.05). Conclusion : MRS post-processing S/W based on GUI using PC was developed and applied to the analysis of normal human brain $^1H$ MRS. This independent MRS processing job increases the performance and throughput of patient scan of main console. Finally, we suggest that the database for normal in-yivo human MRS data should be obtained before clinical applications.