• Bulletin of the Korean Chemical Society
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• 제27권11호
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• pp.1733-1736
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• 2006

A new biologically active peptide with structural similarity to neuromedin N (NMN) has been isolated from extracts of visceral tissue of the African lungfish, Protopterus dolloi, using the rectum of the quail as the bioassay system. The primary structure of NMN-related peptide was established as Lys-Ala-Pro-Tyr-Ile-Leu-OH ([$Ala_2$]-NMN) and contained one substitution ($Ala_2\rightarrow$Ile) compared with the porcine NMN. [$Ala_2$]-NMN was found to have an excitatory effect on rectal muscle tissues of quail (Coturnix japonica), newt (Cynops pyrrhogaster) and black bass (Micropterus sulmoides). The threshold concentration of [Ala2]-NMN for contraction of C. japonica muscle was found to be approximately $10^-11$M. [$Ala_2$]-NMN showed contractile activities in the following order: C. japonica > C. pyrrhogaster > M. sulmoides. The identification of [Ala2]-NMN provides evidence that NMN family, hitherto confined to mammals, has a widespread occurrence in lungfish.

• 한국융합학회논문지
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• 제11권5호
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• pp.165-173
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• 2020

무인 농기계의 출현으로 정밀 농업의 발전에 새로운 연구 콘텐츠가 등장했다. 무인 농기계의 핵심 기술 연구를 가속화시키기 위해 먼저 무인 농기계 지능 수준 분류가 일 차적 과제가 되어 왔다. 이에 본 연구는 무인 곡물 수확기, 작업, 운전 환경으로 구성된 복합 양방향 시스템을 연구 대상으로 하고, 무인 곡물 수확기의 지능화 수준을 등급화하고 분류하는 연구를 수행한다. 본 연구의 연구자들은 인적 개입 정도, 환경적 복잡성, 작업 복잡성으로 구성된 무인 곡물 수확기 차량의 평가 모델을 확립한다. 또한, 무인 곡물 수확기의 지능화 수준 등급화와 분류는 인적 개입 정도, 환경적 복잡성과 작업 난이도에 따라 이루어진다. 무인 농기계의 미래 발전 방향을 제시하고 있다.

• 대한한방내과학회지
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• 제40권4호
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• pp.612-628
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• 2019

Objective: The aim of this review was to investigate clinical studies on Korean medical treatments for dysmenorrhea. Method: Using the keywords "dysmenorrhea," "Korean medical treatment," "acupuncture," and "herbal medicine," searches were conducted using domestic databases, including the National Discovery for Science Leaders (NDSL), the Research Information Sharing Service(RISS), and the Oriental Medicine Advanced Searching Integrated System (OASIS). The keywords were combined in various ways, instead of being searched individually. Papers that did not cover clinical studies or were not matched with the subject, absent of the abstract and text, were excluded. Results: Using the above searching method, 20 studies were found. Of these, 15 were in the form of case reports and five were in the form of randomized controlled trials. Acupuncture, herb medicine, pharmacopuncture, moxibustion, and cupping were used as treatments for dysmenorrhea. All of these studies reported that the Korean medical treatment was effective. Conclusion: According to the results, Korean medical treatments can provide an effective treatment for dysmenorrhea. However, more clinical studies on dysmenorrhea should be conducted for further clinical applications.

• 공업화학
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• 제32권3호
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• pp.237-242
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• 2021

미세먼지와 함께 질소산화물, 황산화물, 휘발성 유기화합물, 암모니아 비롯한 유발물질에 대한 동시 저감기술은 엄격해지는 환경규제와 실질적인 저감효과 제고를 위해 꾸준히 주목받아 왔다. 오존산화에 의한 비수용성 질소산화물 고속산화 공정은 전통적으로 적용되고 있는 선택적 촉매환원 공정에 비해 공간절약형 시스템 적용을 가능하게 할 뿐만 아니라 운영비용 절감 측면에서 매우 효과적인 방법으로 평가되고 있으며 황산화물을 비롯한 산성가스와 동시 저감이 가능한 공정 구현이 가능하다는 장점까지 있다. 본 논문에서는 오존 고속산화 공정에 대한 기술 이슈 및 개발 동향을 소개하며 향후 산업적 이용 확대를 위한 개발 방향에 대해서 고찰하고자 한다.

• 한방안이비인후피부과학회지
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• 제35권1호
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• pp.48-57
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• 2022

Objectives : The purpose of this review study is to identify clinical indications of Hwangryunhaedok-tang(HHT) external application and to suggest directions for future research and treatment by analyzing domestic cases applying HHT external treatment except for pharmacopuncture research. Methods : We searched 235 studies published in Korean since 2000 from four domestic databases: Oriental Medicine Advanced Searching Integrated System(OASIS), Research Information Sharing Service(RISS), Korean Traditional Knowledge Portal(KTKP), and Korean studies Information Service Systems(KISS) using keywords such as 'HTT and external use', 'HHT and external agent' 'HHT and wet dressing', or 'HHT and case'. We excluded duplicate papers, papers related to acupuncture including pharmacopuncture, or papers not related to the topic. Results : We selected and analyzed seven case reports. HHT external agent was used alone in one case, as main treatment in two cases, and as adjuvant treatment in four cases. HHT external application was applied to various skin diseases accompanied by inflammation mainly in the form of wet dressings. Conclusion : HHT external agent may be effective on various skin diseases accompanied by inflammation when applied alone or in combination with other agents according to the treatment stage. Based on this results, further studies will be needed to establish the primary clinical indication of HHT external agent.

• Journal of Biosystems Engineering
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• 제21권3호
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• pp.325-335
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• 1996

표고의 외관 특징들은 표고의 재배 시 생육상태의 정량적 측정을 위해서, 표고의 건조 시 건조 성능을 나타내는 정량적 지표로서, 그리고 건표고의 품질을 판정하는 요인으로서 중요한 역할을 한다. 본 논문에서는 컴퓨터 시각시스템 및 신경회로망 기술을 적용하여 표고의 갓 및 내피에 고루 분포되어 있는 외관특징을 정량적으로 추출하는 알고리즘을 개발하였다. 기존의 영상 처리 과정에서 유도되는 경험적 판정규칙 또는 명확한 수치적 판정조건에 의한 등급판정은 입력데이타의 결핍 또는 애매모호성에 따른 오차가 발생하기 쉽다. 신경회로망을 이용한 영상인식 기능을 도입함으로써 다양하고 애매모호한 표고의 외관 영상특징들을 효율적으로 처리하여 기존 영상처리 알고리즘에서 발생하는 오차를 개선하였다. 본 논문에서 제안하는 알고리즘은 표고의 갓과 내피면의 인식 및 특징 분할, 꼭지부의 검출, 제거 및 재생 등을 포함한다. 제안한 알고리즘에 의거하여 건표고의 등급판정에 주요한 품질인자들을 추출하고 정량화 하였다. 그리고 알고리즘의 개발은 흑백의 다치입력영상을 이용하여 수행하였다.

• 산업경영시스템학회지
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• 제46권4호
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• pp.152-159
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• 2023

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies - Bitcoin, Ethereum, Litecoin, and EOS - and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies - AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet - representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning-based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

• 방사선산업학회지
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• 제17권4호
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• pp.391-396
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• 2023

Currently, state-of-the-art devices such as SPECT, PET/CT, and PET/MRI are rapidly spreading nationwide, and the penetration rate of nuclear medical devices is also ranked fifth in the world. However, PET/MRI's system is slower and less common because it is more complex than PET/CT. The purpose of this study is to provide optimal information on PET/MRI according to the patient's disease. The subjects obtained information on head and neck cancer, pediatric patients, breast cancer patients, heart disease patients, lung cancer patients, and rectal cancer patients. We tried to accumulate protocols by obtaining a lot of information about each disease. In diagnosing head and neck cancer, it is believed that it is highly likely to be used in evaluating preoperative stage determination, recurrence and remote metastasis after treatment, and unclear primary cervical lymph node metastasis. Diagnosis and continuous follow-up of pediatric patients can increase patient benefits by minimizing radiation exposure. Breast cancer provides a comprehensive evaluation of the clinical need to determine the extent of disease in breast and local lymph nodes and the systematic stages of early diagnosis or recurrence. In diagnosing heart disease patients, MR-based PET motion correction helps to realize the full potential of PET images. For lung cancer patients, the clinical value and usefulness of the resolution and detection ability of integrated PET/MRI for soft tissues such as lung cancer will be sufficient. In diagnosing rectal cancer patients, the detection of missing residual diseases can change the clinical response evaluation for rectal cancer patients treated with TNT, and both the initial stage and treatment response evaluation are possible. Therefore, this literature study provided basic clinical data for PET/MRI tests.

• 한국해양공학회지
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• 제33권6호
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• pp.590-596
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• 2019

Numerous deaths and substantial property damage have occurred recently due to frequent disasters of the highest intensity according to the abnormal climate, which is caused by various problems, such as global warming, all over the world. Such large-scale disasters have become an international issue and have made people aware of the disasters so they can implement disaster-prevention measures. Extensive information on disaster prevention actively has been announced publicly to support the natural disaster reduction measures throughout the world. In Japan, diverse developmental studies on disaster prevention systems, which support hazard map development and flood control activity, have been conducted vigorously to estimate external forces according to design frequencies as well as expected maximum frequencies from a variety of areas, such as rivers, coasts, and ports based on broad disaster prevention data obtained from several huge disasters. However, the current reduction measures alone are not sufficiently effective due to the change of the paradigms of the current disasters. Therefore, in order to obtain the synergy effect of reduction measures, a study of the establishment of an integrated system is required to improve the various disaster prevention technologies and the current disaster prevention system. In order to develop a similar typhoon search system and establish a disaster prevention infrastructure, in this study, techniques will be developed that can be used to forecast typhoons before they strike by using artificial intelligence (AI) technology and offer primary disaster prevention information according to the direction of the typhoon. The main function of this model is to predict the most similar typhoon among the existing typhoons by utilizing the major typhoon information, such as course, central pressure, and speed, before the typhoon directly impacts South Korea. This model is equipped with a combination of AI and DNN forecasts of typhoons that change from moment to moment in order to efficiently forecast a current typhoon based on similar typhoons in the past. Thus, the result of a similar typhoon search showed that the quality of prediction was higher with the grid size of one degree rather than two degrees in latitude and longitude.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2007년도 추계학술발표회
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• pp.61-67
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• 2007

2007년 6월 14일, OPRC-HNS 의정서의 발효로 해양에서 대형 위험 ${\cdot}$ 유해물질 (HNS) 오염사고발생시 범국가적 차원에서 신속하고 효율적으로 대응할 수 있는 사고대응체제 구축이 필요하게 되었다. 이에 따라 이미 화학물질에 대한 긴급계획을 수립하여 운영하고 있는 미국에서의 화학물질 해양오염사고에 대한 국가방제체제의 특성을 분석하였다. 주요 특징으로는 단일화된 신고접수체계와 통합된 사고지휘시스템을 운용하고 재난대응기관간 공동책임제로 인하여 장비의 공유 및 기술협조 등 협력이 원활이 이루어진다는 것이다. 또한 재난관리 및 대응에 있어 주정부 및 지방정부에 많은 권한과 책임을 부여하고 있으며 정부(지방정부 포함)에서 방제작업을 실시할 경우 소요된 방제비용의 3배를 오염행위자에게 부과한다. 실제 방제작업은 민간방제업체를 통하여 이루어지며 다만, 행위자의 노력에도 그 능력을 초과할 경우에 한하여 국가가 대응하고 이에 대한 경비로 별도 기금(Superfund)을 운용 ${\cdot}$ 보전하고 있다. 그러나 미국은 화학물질 사고대응에 있어 안전을 최우선으로 고려하고 오염물질을 회수하는 방제활동은 지양하고 있다. 한편, 화학사고에 대한 전문성 향상을 위하여 연안경비대 및 환경청 등의 대응요원은 교육과정을 이수하여야 하며 특수자격 인증제도를 시행하고 있다.