• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.509-510
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• 2013

• 대한약침학회지
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• 제24권4호
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• pp.173-181
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• 2021

Objectives: The aim of this review was to appraise Korean studies published between 2010 and 2021 which examined the role of acupuncture in the treatment of obesity. Methods: We performed a search of the NDSL, KISS, RISS, OASIS, PubMed, EMBASE electronic databases for relevant animal researches, case reports, and clinical trials, using the following search terms: 'obesity', 'acupuncture', 'electroacupuncture', and 'pharmacopuncture'. We excluded previous reviews and meta-analyses, studies not related to obesity or acupuncture treatment, as well as studies conducted in countries other than Korea. We also excluded studies where relevant information on acupuncture treatment in obesity could not be obtained. Results: Most studies were conducted in animals, followed by case reports and clinical trials. In animal researches and case reports, pharmacopuncture was the most used intervention. In case studies, electroacupuncture, thread-embedding therapy, manual acupuncture, acupotomy, and auricular acupuncture were also used. In animal researches, pharmacopuncture treatment was associated with improvement in obesity indices. In the case of local obesity, specific acupuncture techniques such as thread-embedding therapy and pharmacopuncture were associated with significant improvements in local obesity, even when diet and exercise were not controlled for. Conclusion: Acupuncture treatment showed significant benefit in the treatment of obesity, with a local effect evident for certain approaches, such thread-embedding therapy and acupotomy.

• Journal of Acupuncture Research
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• 제30권4호
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• pp.35-44
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• 2013

Objectives : This study was designed to compare the effect between needle-embedding therapy and sweet bee venom pharmacopuncture therapy on early stage of peripheral facial paralysis. Methods : We investigated 60 patients with peripheral facial paralysis. Subjects were randomly divided into two groups and dropped out 20 patients. : needle-embedding therapy group(group A, n=20, dropped out 9 cases among 29 cases) and sweet bee venom pharmacopuncture therapy group(group B, n=20, dropped out 11 cases among 31 cases). needle-embedding therapy was performed for group A three times a week dividing face into three areas during 4 weeks and Sweet bee venom pharmacopuncture therapy was performed for group B two or three times a week during 4 weeks. To evaluate the effect of treatment applied for two groups, we used Yanagihara's unweighed grading system and House-Brachmann grading system at before treatment, after one week from visit, two weeks from visit, three weeks from visit, and four weeks from visit. Results : After treatment, Yanagihara's score and House-Brachmann grading system were improved in each group except during first week. But there was no significant difference in improvement between group A and group B. Conclusions : Needle-embedding therapy would be as effective to improve symptoms of early stage of peripheral facial paralysis as sweet bee venom pharmacopuncture therapy.

• 정보처리학회 논문지
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• 제13권8호
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• pp.367-373
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• 2024

모바일 기기와 네트워크 인프라의 성장은 음악 산업에 상당한 변화를 초래하였다. 온라인 스트리밍 서비스의 등장으로 시공간의 제약 없이 음악 청취가 가능해졌고 소비자의 음악 창작과 공유 활동의 증가로 방대한 양의 음원 데이터가 축적되었다. 이로써 사용자의 취향에 맞는 추천을 위해 사용자의 행동 데이터를 기반으로 한 개인 맞춤형 음악 추천 모델이 활발히 연구되고 있다. 그러나 신규 사용자의 경우, 데이터가 부족하여 적절한 추천이 어려운 콜드 스타트 현상을 초래할 수 있다. 본 연구에서는 플레이리스트를 활용하여 음원 메타데이터를 Song sentence로 정의하고, 고차원 벡터 공간에 임베딩하여 유사도를 계산한 추천 알고리즘을 제안한다. 성능 평가 결과 가수, 장르, 작곡가, 작사가, 편곡가, 시대, 계절, 감정, 태그 리스트를 모두 활용한 제안하는 음원 추천 알고리즘이 가장 높은 성능을 보임을 알 수 있었다. 제안하는 추천 알고리즘은 사용자의 과거 행동 데이터에 기반한 추천 시스템이 아닌 음원이 자체적으로 보유한 정보에 근거하기 때문에 콜드 스타트 현상과 더불어 정보 편식 현상을 보완하여 사용자에게 보다 편리한 음악 감상 경험을 제공할 수 있을 것으로 기대된다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문초록집
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• pp.335.1-335
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• 2002

Among many structural dynamics modification methods for plate and shell vibration problems, embedding an emboss to the surface is very efficient. But deciding an optimal position and shape using optimization algorithm needs defining geometry and remeshing the model for every iteration step to implement the method, which takes much numerical cost. (omitted)

• 대한전자공학회논문지SD
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• 제42권12호
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• pp.79-90
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• 2005

본 논문에서는 의사무작위패턴만으로는 생산하기 힘든 결정론적 테스트 큐브의 생산확률을 높일 수 있는 새로운 clustered reconfigurable interconnect network (CRIN) 내장된 자체 테스트 기법을 제안한다. 제안된 방법은 주어진 테스트 큐브들의 신호확률에 기반을 둔 스캔 셀 재배치 기술과 규정 비트(care-bit: 0 또는 1)가 집중된 스캔 체인 테스트 큐브의 생산확률을 높이기 위한 전용의 하드웨어 블록을 사용한다. 테스트 큐브의 생산확률을 최대로 할 수 있는 시뮬레이티드 어닐링(simulated annealing) 기반 알고리듬이 스캔 셀 재배치를 위해 개발되었으며, CRIN 하드웨어 합성을 위한 반복 알고리듬 또한 개발되었다. 실험을 통하여 제안된 CRIN 내장된 자체 테스트 기법은 기존의 연구 결과보다 훨씬 적은 저장 공간과 짧은 테스트 시간으로 $100\%$의 고장검출율을 달성할 수 있음을 증명한다.

• 한국정보과학회논문지:정보통신
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• 제37권2호
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• pp.150-156
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• 2010

오디오 워터마킹이란 오디오 신호에 귀에 들리지 않게 정보를 삽입하는 과정을 말하며, 주로 저작권 보호 목적에 이용되어 왔다. 본 연구에서는 오디오 워터마킹을 저작권 보호가 아닌 사용자 편의를 위한 부가 정보 전송이라는 목적에 이용하고자 하며, 이러한 목적에 적합한 오디오 워터마킹 알고리듬을 제안한다. 본 연구에서 제안하는 오디오 워터마킹 알고리듬은 공기 중 음향 전송을 통해 스피커로부터 모바일 장치로 부가 정보를 전송하는 방식이며, 오디오 신호의 에너지 변조를 이용한 워터마크 삽입/추출 방법 및 2단계에 걸친 효율적인 동기화 방법을 포함한다. 제안된 알고리듬은 스피커 시스템과 휴대폰 단말기를 이용한 실험을 통해 그 성능을 평가하였으며, 실험 결과 5m 거리에서 성공적으로 부가 정보를 전송이 가능함을 확인하였다. 이는 기존의 방식보다 높은 성능이다.

• Journal of Acupuncture Research
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• 제29권3호
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• pp.129-137
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• 2012

Objectives : Polyarteritis nodosa is a progressive disease of connective tissue that is characterized by nodules along arteries; nodules may block the artery and result in inadequate circulation to the particular area. This report is intended to estimate the efficacy using oriental complex treatment on a patient with Polyarteritis nodosa. Materials and Methods : From 19th March, 2012 to 12th May, 2012, One male inpatient diagnosed with polyarteritis nodosa was treated with general oriental medicine therapy : needle-embedding therapy ; acupuncture ; pharmacopuncture ; acupotomy therapy and herbal medication. VAS(visual analogue scale) was used for evaluation of both leg pain. Other subjective symptoms including night sweat, tinnitus, upper heat were evaluated by percentage comparing the symtoms before and after treatment. Results : The patient showed a certain degree of improvement in both leg pain and other subjective symtoms. Conclusions : Oriental treatments such as needle-Embedding therapy, acupuncture and moxibustion therapy, pharmacopuncture therapy, acupotomy therapy and herbal medication can be effective for controlling pain and other accompanied symtoms due to polyarteritis nodosa.

• 대한수의학회지
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• 제56권2호
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• pp.85-89
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• 2016

We tested a set of conditions for obtaining optimal tissue quality in preparation for histology in samples of mouse brain. C57BL/6J mice were sacrificed and perfused with 4% paraformaldehyde, after which the brains were removed and dehydrated in 30% sucrose solution. The brains were then divided into four groups according to freezing temperature and usage of optimal cutting temperature (OCT) compound. Next, we stained the sectioned brain tissues with Harris hematoxylin and eosin Y and immunohistochemistry was performed for doublecortin. The best quality tissue was obtained at $-25^{\circ}C$ and by not embedding with the OCT compound. When frozen at $-25^{\circ}C$, the embedded tissue was significantly damaged by crystals, while at $-80^{\circ}C$ there were no meaningful differences between qualities of embedded- and non-embedded tissues. Overall, we identified a set of conditions to obtain quality frozen brain sections. Our developed protocol will help resolve matters associated with damage caused to sectioned brain tissue by crystal formation during freezing.

• 인터넷정보학회논문지
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• 제25권1호
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• pp.49-56
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• 2024

There have been emerging many use-cases applying recommendation systems especially in online platform. Although the performance of recommendation systems is affected by a variety of factors, selecting appropriate features is difficult since most of recommendation systems have sparse data. Conventional matrix factorization (MF) method is a basic way to handle with problems in the recommendation systems. However, the MF based scheme cannot reflect non-linearity characteristics well. As deep learning technology has been attracted widely, a deep neural network (DNN) framework based collaborative filtering (CF) was introduced to complement the non-linearity issue. However, there is still a problem related to feature embedding for use as input to the DNN. In this paper, we propose an effective method using singular value decomposition (SVD) based feature embedding for improving the DNN performance of recommendation algorithms. We evaluate the performance of recommendation systems using MovieLens dataset and show the proposed scheme outperforms the existing methods. Moreover, we analyze the performance according to the number of latent features in the proposed algorithm. We expect that the proposed scheme can be applied to the generalized recommendation systems.