• 한국정보통신학회논문지
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• 제23권3호
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• pp.254-260
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• 2019

최근 다양한 분야에서 영상매체의 사용 빈도가 증가함에 따라 신호처리의 중요성이 높아지고 있다. 하지만 송수신 과정에서 많은 종류의 잡음이 발생하며 신호의 정보에 영향을 미치고 있으며, 이러한 이유로 잡음 제거를 전처리 과정으로서 필수적으로 행한다. 본 논문에서는 임펄스 잡음과 AWGN이 혼합된 잡음을 제거하기 위한 알고리즘을 제안하였다. 제안한 알고리즘은 복합 잡음 환경에서 효율적인 잡음 제거를 위해 잡음 판단을 통해 영상 복원을 진행하며, 공간적 특성과 화소 변화를 고려하여 잡음을 제거한다. 시뮬레이션 결과 제안한 알고리즘은 기존 방법과 달리 두 잡음의 영향을 모두 최소화하여 잡음을 제거하여 우수한 잡음제거 특성을 나타내었으며, 객관적인 판단을 위해 PSNR 및 프로파일 등을 이용하여 비교 및 분석하였다.

• 한국정보전자통신기술학회논문지
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• 제12권1호
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• pp.13-21
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• 2019

내용기반 영상검색은 영상 내의 정보인 색상, 질감, 형태 등의 특징 값을 추출하여 검색에 이용한다. 본 논문에서는 $8{\times}8$ 이산여현변환, 즉 $8{\times}8$ DCT(Discrete Cosine Transform) 후 얻어지는 DC, AC계수를 이용하여 필터뱅크(filter-bank)를 생성하고, 이를 영상의 내용기반 검색에 이용하는 검색방법을 제안한다. 제안된 방법은 생성된 DCT 필터뱅크에서 DC성분과 주요한 AC성분인 AC01, AC10, AC11 만을 이용하며, DC성분에 대한 양자화를 수행하여 계산량을 최소화한다. 그리고 양자화된 DC성분에 대한 히스토그램 정보를 기반으로 영상 검색에 필요한 특징 값을 산출한다. AC성분에 대해서는 Otsu 이진화를 통하여 개괄적인 형태정보를 취득한 다음 이에 대한 수평/수직 방향으로의 투영 히스토그램을 계산하여 특징 값을 취득한다. 추출된 AC성분의 특징 값은 DC성분의 특징 값과 함께, 특징벡터 빈(feature vector bins)을 구성하여 검색을 수행한다. 실험은 1000장의 데이터베이스를 이용하여 수행 되었으며, 기존의 색상정보를 이용한 검색방법보다 우수한 성능을 보임을 확인하였다.

• 정보관리학회지
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• 제36권1호
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• pp.191-213
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• 2019

과학적 지식을 얻는 과정은 연구자의 연구를 통해 이루어진다. 연구자들은 과학의 불확실성을 다루고 과학적 지식의 확실성을 구축해나간다. 즉, 과학적 지식을 얻기 위해서 불확실성은 반드시 거쳐가야 하는 필수적인 단계로 인식되고 있다. 현존하는 불확실성의 특성을 파악하는 연구는 언어학적 접근의 hedging 연구를 통해 소개되었으며 컴퓨터 언어학에서 수작업 기반으로 불확실성 단어 코퍼스를 구축해왔다. 기존의 연구들은 불확실성 단어의 단순 출현 빈도를 기반으로 특정 학문 영역의 불확실성의 특성을 파악해오는데 그쳤다. 따라서 본 연구에서는 문장 내 생의학적 주장이 중요한 역할을 하는 생의학 문헌을 대상으로 불확실성 단어 기반 과학적 지식의 패턴을 시간의 흐름에 따라 살펴보고자 한다. 이를 위해 생의학 온톨로지인 UMLS에서 제공하는 의미적 술어를 기반으로 생의학 명제를 분석하였으며, 학문 분야의 패턴을 파악하는데 용이한 DMR 토픽 모델링을 적용하여 생의학 개체의 불확실성 기반 토픽의 동향을 종합적으로 파악하였다. 시간이 흐름에 따라 과학적 지식의 표현은 불확실성이 감소하는 패턴으로 연구의 발전이 이루어지고 있음을 확인하였다.

• Current Optics and Photonics
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• 제5권3호
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• pp.250-260
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• 2021

A tapered As₂S₃ photonic crystal fiber (PCF) with four layers of air holes in a hexagonal array around the core is designed in this paper. Numerical simulation shows that the dispersion D decreases and the nonlinearity coefficient γ increases from the thick to the thin end along the tapered PCF. We simulate the midinfrared pulse compression in the tapered As₂S₃ PCF using the adaptive split-step Fourier method. Initial Gaussian pulses of 4.4 ps and a central wavelength of 2.5 ㎛ propagating in the tapered PCF are located in the anomalous dispersion region. With an average power of assumed input pulses at 3 mW and a repetition frequency of 81.0 MHz, we theoretically obtain a pulse duration of 56 fs and a compression factor of 78 when the pulse propagates from the thick end to the thin end of the tapered PCF. When confinement loss in the tapered PCF is included in the simulation, the minimum pulse duration reaches 72 fs; correspondingly, the maximum compression factor reaches 61. The results show that in the anomalous-dispersion region, midinfrared pulses can be efficiently compressed in a dispersion-decreasing and nonlinearity-increasing tapered As₂S₃ PCF. Due to confinement loss in the tapered fiber, the efficiency of pulse compression is suppressed.

• Journal of Audiology & Otology
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• 제24권2호
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• pp.85-90
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• 2020

Background and Objectives: The present study aimed to compare thresholds of direct bone-conduction (BC direct) with those of behaviorally measured BC pure-tone audiometry (PTA) and objectively measured BC auditory brainstem response (ABR) to confirm the clinical feasibility of their relationships. Subjects and Methods: Young adults with normal hearing participated in the study to determine the thresholds from three measurements at four testing frequencies. In the BC direct, the vibrator of a bone-anchored hearing aid softband was placed on the right mastoid of each subject. In both PTA and ABR, a B71 bone oscillator was placed on the subject's right mastoid. While the subject's thresholds of BC direct and BC PTA were determined with a clinically routine 5-dB step procedure, BC ABR was conducted to determine the individual's hearing sensitivity by a peak V of the waveform using tone-burst and click stimuli. Results: The BC direct showed a different pattern between low and high frequencies. Precisely, its thresholds were 13.25 and 12.25 dB HL at 0.5 and 1 kHz, respectively, but 19 and 19.75 dB HL at 2 and 4 kHz, respectively. A significant positive correlation existed between BC direct and PTA at 1 kHz, which was also correlated with ABR. Conclusions: Based on the current data, the thresholds of BC direct were similar to BC PTA at low frequencies and BC ABR at high frequencies. The thresholds of BC direct might be predictable at approximately 5 dB higher (or lower) than that in PTA, although a large data set is required for standardization.

• 한국산업정보학회논문지
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• 제27권5호
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• pp.37-48
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• 2022

디지털 기술의 발전으로 사회적 이슈들이 SNS와 같은 디지털 기반 플랫폼을 통해서 소통되고 여론을 형성하기도 한다. 본 연구에서는 소셜미디어를 통해서 공유되고 있는 정보보호 이슈관련 여론을 살펴보기 위하여 대표적인 단문 소셜네트워크서비스인 트위터 빅데이터 분석을 진행하였다. 2021년 1년간 14개 정보보호 관련 키워드를 중심으로 데이터를 수집한 후, 데이터마이닝 기술을 활용하여 용어 빈도(TF)분석과 피어슨 계수를 활용한 상관분석을 통해 키워드간의 상관관계를 밝혔다. 또한 잠재적 확률기반 LDA 토픽모델링을 실시하여 정보보호분야에 많은 관심을 받았던 6개의 주요 토픽을 도출하였다. 이러한 결과는 관련 산업의 전략수립이나, 정부 정책수립 시 주요 키워드를 도출하는 기초데이터로 활용될 수 있을 것으로 기대된다.

• 대한청각학회지
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• 제24권2호
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• pp.85-90
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• 2020

Background and Objectives: The present study aimed to compare thresholds of direct bone-conduction (BC direct) with those of behaviorally measured BC pure-tone audiometry (PTA) and objectively measured BC auditory brainstem response (ABR) to confirm the clinical feasibility of their relationships. Subjects and Methods: Young adults with normal hearing participated in the study to determine the thresholds from three measurements at four testing frequencies. In the BC direct, the vibrator of a bone-anchored hearing aid softband was placed on the right mastoid of each subject. In both PTA and ABR, a B71 bone oscillator was placed on the subject's right mastoid. While the subject's thresholds of BC direct and BC PTA were determined with a clinically routine 5-dB step procedure, BC ABR was conducted to determine the individual's hearing sensitivity by a peak V of the waveform using tone-burst and click stimuli. Results: The BC direct showed a different pattern between low and high frequencies. Precisely, its thresholds were 13.25 and 12.25 dB HL at 0.5 and 1 kHz, respectively, but 19 and 19.75 dB HL at 2 and 4 kHz, respectively. A significant positive correlation existed between BC direct and PTA at 1 kHz, which was also correlated with ABR. Conclusions: Based on the current data, the thresholds of BC direct were similar to BC PTA at low frequencies and BC ABR at high frequencies. The thresholds of BC direct might be predictable at approximately 5 dB higher (or lower) than that in PTA, although a large data set is required for standardization.

• 품질경영학회지
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• 제50권4호
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• pp.863-876
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• 2022

Purpose: The purpose of this study is to propose the product quality satisfaction index based on multiple linear regression using customer reviews. Methods: The proposed framework is composed of four steps. First, we collect online reviews and divide it into insight phrases. The insight phrases are classified using product attribute dictionary and sentiment analysis is conducted. Second, the importance of attributes is calculated in consideration of both regression coefficient and frequency. Third, the positive rate is calculated concerning sentiment analysis result. Therefore, the quality satisfaction index is measured by the weighted sum of importance and positive rate in the last step. Results: We conduct a case study using 2-years(2020, 2021) of Samsung TV reviews to confirm the effectiveness of the proposed methodology. As a result, we found that Picture quality is the most crucial attribute in TV evaluation. The importance of Gaming and content has grown up as the positive rate has also increased. Therefore, the overall satisfaction of TV has increased in 2021 compared to 2020. Conclusion: The result of this study shows that the proposed index reveals the customer's mind efficiently and can be explained by the importance and positive rate of each attribute. By using the proposed index, companies are able to improve and the priority of improvement can be determined.

• Clinical and Experimental Pediatrics
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• 제65권3호
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• pp.142-149
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• 2022

Background: Individuals with Down syndrome present with several impairments such as hypotonia, ligament laxity, decreased muscle strength, insufficient muscular cocontraction, inadequate postural control, and disturbed proprioception. These factors are responsible for the developmental challenges faced by children with Down syndrome. These individuals also present with balance dysfunctions. Purpose: This systematic review aims to describe the motor dysfunction and balance impairments in children and adolescents with Down syndrome. Methods: We searched the Scopus, ScienceDirect, MEDLINE, Wiley, and EBSCO databases for observational studies evaluating the motor abilities and balance performance in individuals with Down syndrome. The review was registered on PROSPERO. Results: A total of 1,096 articles were retrieved; after careful screening and scrutinizing against the inclusion and exclusion criteria, 10 articles were included in the review. Overall, the children and adolescents with Down syndrome showed delays and dysfunction in performing various activities such as sitting, pulling to stand, standing, and walking. They also presented with compensatory mechanisms to maintain their equilibrium in static and dynamic activities. Conclusion: The motor development of children with Down syndrome is significantly delayed due to structural differences in the brain. These individuals have inefficient compensatory strategies like increasing step width, increasing frequency of mediolateral center of pressure displacement, decreasing anteroposterior displacement, increasing trunk stiffness, and increasing posterior trunk displacement to maintain equilibrium. Down syndrome presents with interindividual variations; therefore, a thorough evaluation is required before a structured intervention is developed to improve motor and balance dysfunction.

• 대한의용생체공학회:의공학회지
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• 제43권4호
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• pp.185-192
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• 2022

Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.