• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권8호
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• pp.299-308
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• 2014

신체 동작, 얼굴 표정과 같이 아주 복잡한 생체 패턴을 인식하고 분류하는 인간의 능력을 모방한 정보처리 컴퓨팅 관련 연구가 최근 다수 등장하고 있다. 특히 컴퓨터비전 분야에서는 인간의 뛰어난 인지 능력 중 상황정보 없이 시각시퀀스에서 동작을 분류하는 기능을 통해 시공간적 패턴 코딩과 빠른 인식 방법을 이해하고자 한다. 본 연구는 비디오 시퀀스상의 동작인식에 생물학적 시각인지과정의 영향을 받은 생체 기반 컴퓨터비전 모델을 제시하였다. 제안 모델은 이미지 시퀀스에서 동작을 검출하고 시각 패턴을 판별하는 데 생체 시각처리과정의 신경망 구조 단계를 반영하였다. 실험을 통해 생체 기반 동작인식 모델이 인간 시각인지 처리의 여러 가지 속성을 고려했을 뿐 아니라 기존 동작인식시스템에 비해 시간 정합성이 뛰어나며 시간 변화에 강건한 분류 능력을 보임을 알 수 있다. 제안 모델은 지능형 로봇 에이전트와 같은 생체 기반 시각정보처리 시스템 구축에 기여할 수 있다.

• Journal of Oral Medicine and Pain
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• 제23권2호
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• pp.127-141
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• 1998

This study was performed to investigate the clinical features of internal derangement of temporomandibular joint. For this study, 117 patients with temporomandibular disorders and 81 dental students without any signs and symptoms of temporomandibular disorders were selected as the patients group and as the control group, respectively. Preferred chewing side, Angle's classification, lateral guidance pattern, maximal mouth opening range, and affected side were recorded clinically. Head and shouldeer posture was measured in a groundplate on which square diagram of five centimeters each had been drawn, and cephalograph was also taken for measurement of head and neck posture. Sonopak of Biopak system (Bioresearch inc., USA) was used to record joint vibration for evaluation of internal healthy status of temporomandibular joint. The data collected were analyzed by SAS statistical program. The results of this study were as follows : 1. Frequency of left side chewing subjects was higher in patients than in control group, but there was no difference in distribution of subjects by Angle's classification. Other types was prvalent in patients whereas group function was more in control group for lateral guidance pattern. 2. As to lateral guidance pattern by clinical diagnosis, patients with internal derangement and/or degenerative joint disease showed higher frequency was consistent with the result by Sonopak impression. 3. There was no difference for shoulder height between the two groups, however, tilting of head and backward extension of cervical spine was more frequent in control group. 4. Acromion was positioned more anteriorly in patients with internal derangement and/or degenerative joint disease than in control group and angle between eye and tragus was larger in patients. Patients with degenerative joint disease showed more flexed head posture than control group did in cephalometric profile. 5. Maximal mouth opening range in patients with internal derangement was the least in all subgroups in patients classified by Sonopak impression.

• 정보처리학회논문지C
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• 제13C권7호
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• pp.859-864
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• 2006

웹의 개방성은 사람들로 하여금 언제, 어디서든 손쉽게 유용한 정보를 획득할 수 있게끔 하였다. 하지만 인터넷은 유용한 정보의 손쉬운 활용이라는 순기능과 더불어 사회적으로 통제를 필요로 하는 유해한 정보 역시 인터넷을 이용하는 이용자들에게 무차별적으로 제공함으로써 역기능을 발생시키고 있다. 성인 컨텐츠 같은 정보들은 모든 사용자들, 특히 청소년들에게 악영향을 미칠 수 있다. 또한, 변태적인 성인 사이트들이 담고 있는 컨텐츠들은 성인들의 정신 건강에도 해를 미치게 된다. 한편, 인터넷은 전 세계적으로 연결된 개방망이므로 유해정보 제공자를 각국의 법적, 제도적 장치를 이용하여 규제하는데 한계가 있다. 또한, 유해 사이트, 유해성 스팸 메일, P2P 등 다양한 경로를 통해 유해 정보를 접할 수 있기 때문에, 어떤 시스템에 특화된 유해정보 분류기술을 개발하는 것은 바람직하지 않다. 따라서, 유해정보의 내용 자체에 기반하여 유해 여부를 자동으로 판별할 수 있는 유해정보 판별 핵심 기술의 연구 및 개발의 중요성이 점차 부각되고 있다. 이에 본 논문에서는 내용 기반 기술을 이용한 효율적인 유해 웹 문서 텍스트 판별 시스템을 제시한다.

• 한국전자통신학회논문지
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• 제16권6호
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• pp.1081-1088
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• 2021

현대 무선통신 시스템은 대규모의 안테나 요소가 장착된 메시브 배열 안테나를 사용하여 다수의 사용자에게 원활한 통신 서비스를 지원하기 위해 빔형성 기술을 활용한다. 신뢰도 높은 빔형성 기술은 안테나로 입사되는 신호에 대한 도래각(Angle-of-Arrival : AOA) 정보가 필수적으로 요구되는데, 일반적으로 도래각 정보는 고분해 성능을 가지는 MUSIC(: Multiple Signal Classification)과 같은 도래각 추정 알고리즘을 통해 추정된다. MUSIC 알고리즘은 우수한 추정성능을 갖지만, 메시브 배열 안테나 사용 시 알고리즘의 급격한 복잡도 증가로 인해 실시간 도래각 추정이 어렵다. 이와 같은 문제점을 개선하기 위해, 본 논문은 안테나 요소 ON/OFF 기능을 가지는 FMCCA(: Flexible Massive Concentric Circular Array) 안테나 기반의 캐스케이드 도래각 추정 알고리즘을 제안한다. 제안된 캐스케이드 AOA 추정 알고리즘은 전체 안테나 요소 중 일부 안테나 요소를 사용하는 CAPON 알고리즘과 전체 안테나 요소를 사용하는 Beamspace MUSIC 알고리즘으로 구성되며, 다양한 시나리오를 가정한 컴퓨터 시뮬레이션을 통해 알고리즘의 도래각 추정 성능을 검증한다.

• Journal of Multimedia Information System
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• 제9권2호
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• pp.113-120
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• 2022

Mongolian folk songs are inspired by Mongolian labor songs and are classified into long and short songs. Mongolian long songs have ancient origins, are rich in legends, and are a great source of folklore. So it was inscribed by UNESCO in 2008. Mongolian written literature is formed under the direct influence of oral literature. Mongolian long song has 3 classes: ayzam, suman, and besreg by their lyrics and structure. In ayzam long song, the world perfectly embodies the philosophical nature of world phenomena and the nature of human life. Suman long song has a wide range of topics such as the common way of life, respect for ancestors, respect for fathers, respect for mountains and water, livestock and animal husbandry, as well as the history of Mongolia. Besreg long songs are dominated by commanded and trained characters. In this paper, we proposed a method to classify their 3 types of long songs using machine learning, based on their lyrics structures without semantic information. We collected lyrics of over 80 long songs and extracted 11 features from every single song. The features are the name of a song, number of the verse, number of lines, number of words, general value, double value, elapsed time of verse, elapsed time of 5 words, and the longest elapsed time of 1 word, full text, and type label. In experimental results, our proposed features show on average 78% recognition rates in function type machine learning methods, to classify the ayzam, suman, and besreg classes.

• 대한물리의학회지
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• 제18권1호
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• pp.99-110
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• 2023

PURPOSE: This study was conducted to suggest a way to easily understand and utilize the International Classification of Functioning, Disability and Health (ICF) or Korean Standard Classification of Functioning, Disability and Health (KCF), a common and standard language related to health information. METHODS: The tools used by physical therapists to evaluate the functioning of neurological patients were collected from 10 domestic hospitals. By applying the ICF linking rule, two experts compared, analyzed, and linked the concepts in the items of the collected tools and the ICF/KCF codes. The frequency of use of the selected tool, the matching rate of the liking results of two experts, and the number of the codes linked were treated as descriptive statistics and the code set was presented as a list. RESULTS: The berg balance scale, trunk impairment scale, timed up and go test, functional ambulation category, 6 Minute walk test, manual muscle test, and range of motion measurements were the most commonly used tools for evaluating the functioning. The total number of items of the seven tools was 33, and the codes linked to the ICF/KCF were 69. Twenty-two codes were mapped, excluding duplicate codes. Ten codes in the body function, 11 codes in the activity, and one code in the environmental factor were included. CONCLUSION: The information on the development process of the code set will increase the understanding of ICF/KCF and the developed code set can conveniently be used for collecting patients' functioning information.

• Journal of Electrical Engineering and Technology
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• 제12권6호
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• pp.2388-2398
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• 2017

In this study, we propose a robust face recognition system to pose variations based on automatic pose estimation. Radial basis function neural network is applied as one of the functional components of the overall face recognition system. The proposed system consists of preprocessing and recognition modules to provide a solution to pose variation and high-dimensional pattern recognition problems. In the preprocessing part, principal component analysis (PCA) and 2-dimensional 2-directional PCA ($(2D)^2$ PCA) are applied. These functional modules are useful in reducing dimensionality of the feature space. The proposed RBFNNs architecture consists of three functional modules such as condition, conclusion and inference phase realized in terms of fuzzy "if-then" rules. In the condition phase of fuzzy rules, the input space is partitioned with the use of fuzzy clustering realized by the Fuzzy C-Means (FCM) algorithm. In conclusion phase of rules, the connections (weights) are realized through four types of polynomials such as constant, linear, quadratic and modified quadratic. The coefficients of the RBFNNs model are obtained by fuzzy inference method constituting the inference phase of fuzzy rules. The essential design parameters (such as the number of nodes, and fuzzification coefficient) of the networks are optimized with the aid of Particle Swarm Optimization (PSO). Experimental results completed on standard face database -Honda/UCSD, Cambridge Head pose, and IC&CI databases demonstrate the effectiveness and efficiency of face recognition system compared with other studies.

• 전기학회논문지
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• 제64권6호
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• pp.940-947
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• 2015

A Sitting posture is a very important issue for moderns who is mostly sedentary. Also, a wrong sitting posture causes back-pain and spinal disease. Many researchers have been proposed numerous approaches that classifying and monitoring for a sitting posture. In this paper, we proposed a real-time sitting posture monitoring system that was developed to measure pressure distribution in the human body. The proposed system consists of a pressure sensing module (six pressure sensors), data acquisition and processing module, a communication module and a display module for an individual sitting posture monitoring. The developed monitoring system can classify into five sitting postures, such as a correct sitting, sitting on forward inclination, leaning back sitting, sitting with a right leg crossed and a left leg crossed. In addition, when a user deviates from the correct posture, an alarm function is activated. We selected two kinds of chairs, one is rigid material and fixed form, the other one is a soft material and can adjust the height of a chair. In the experiments, we observed appearance changes for subjects in consequence of a comparison between before the correction of posture and after the correction of posture when using the proposed system. The data from twenty four subjects has been classified with a proposed classifier, achieving an average accuracy of 83.85%, 94.56% when the rigid chair and the soft chair, respectively.

• 대한공간정보학회지
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• 제16권4호
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• pp.3-10
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• 2008

지적도는 토지의 소재, 지번, 지목, 경계, 면적을 지적법에 근거하여 연속하는 일필지에 의해 구성되어진 공적장부이다. 수년 전까지 지적도는 7개의 일정한 축척을 가진 2차원 평면 종이지도로 관리되어졌다. 최근 컴퓨터 시스템이 발달함으로써 지적도는 한 단계 발전할 수 있는 발판을 마련하였고, 그것의 형태가 래스터 방식에서 벡터 방식으로 전환 된 것이다. 그 결과 벡터화된 지적도는 다양하게 응용될 수 있게 되었다. 따라서 수치지적도는 한국토지정보시스템(KLIS)에 의해 다목적으로 이용될 수 있도록 시스템을 갖추었다. 본 연구에서는 수치지적도와 한국토지정보시스템을 기본으로 지적도상의 토지 이용 현황 표시를 원래의 일필지보다 구체적으로 표시하고자 한다. 필지 단위로 구성되어 있는 지적도를 "지적도의 토지현황표시를 위한 일필지 표현기법 모형 연구"에 의해 새로운 표현 기법을 적용하였다. 지적도면의 기능을 소유권의 위치관계 및 지적법에 명시된 28가지 지목별 토지이용현황의 표현뿐만 아니라 GIS 구축 사업의 기초 자료 등으로도 쓰일 수 있게 하기 위하여 도로, 철도, 구거, 하천 등의 공공용지를 중심으로 각각의 필지와 지목에 대한 일필지 표현 기법을 개발하였다. 특히, 공공용지 중 도로를 대상으로 일필지 표현 기법 개발과 이에 따른 지적도 기능 향상에 대하여 분석하였다.

• Clinics in Shoulder and Elbow
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• 제21권2호
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• pp.59-66
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• 2018

Background: Massive, irreparable rotator cuff tears (RCTs) are a challenging clinical problem in young patients. In recent years, arthroscopic superior capsular reconstruction (ASCR) is a popular treatment in the massive, irreparable RCTs. However, studies reporting clinical results of ASCR are rare in the literature. Methods: Between 2013 and 2015, six patients underwent ASCR. One patient treated with dermal allograft, while five patients with autogenous fascia lata graft. Demographic data, as well as preoperative and last follow-up clinical data including pain, range of motion (ROM), strength, American Shoulder and Elbow Surgeons system, the Constant system, the University of California at Los Angeles system, the Simple Shoulder Test, and the Shoulder Pain and Disability Index system were obtained. Acromiohumeral distances and Hamada classification were measured on standard anteroposterior x-ray. Results: All patients were men, and the average age was $59.5{\pm}4.18years$ (range, 53-65 years).The minimum follow-up was 18 months with a mean follow-up was $27.33{\pm}7.58months$ (range, 18-36). All patients had postoperative improvement in pain scores and functional scores. The ROM and strength did not improve after surgery. The Hamada score progressed of radiographic stage in 2 patients. In the case of dermal allograft, there was graft failure 6 weeks after ASCR. Conclusions: Our results support the ASCR as a viable treatment for surgical salvage in massive, irreparable RCTs. This treatment option may provide patients with decreased pain and increased function. And studying our case of dermal allograft failure provides opportunities to decrease graft failure in ASCR using dermal allograft.