• 한국항해항만학회지
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• 제35권5호
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• pp.371-380
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• 2011

교토의정서에서 국제항해 선박의 온실가스 배출규제문제를 IMO에 위임하여 현재 IMO MEPC에서 논의중에 있다. 유엔해양법협약에 따라 모든 국가들은 해양환경보호를 위한 동등한 의무와 책임을 부담하여야 하며, 항만국은 입항하는 외국적 선박을 비차별적 원칙에 따라 통제하도록 하고 있다. 그러나 교토의정서의 기본협약인 기후변화협약은 온실가스 배출의 역사적 책임을 일부 선진국에 부과하는 차별적 공동책임을 기본원칙으로 내세우고 있기 때문에 IMO가 마련하고 있는 선박기인 온실가스 배출규제의 동등한 의무와 책임 원칙과 상반되는 양상을 보이고 있다. 따라서 이 논문에서는 기후변화협약의 발전과정과 기본원칙을 살펴보고 IMO의 선박기인 온실가스 배출규제 최근동향을 통하여 유엔해양법협약과 IMO의 규제에 있어 국제법상 제기될 수 있는 문제점을 검토하여 선박기인 온실가스 규제를 유엔해양법협약과 IMO 협약의 원칙에 따라 현실적으로 구현할 수 있는 이론적 기초와 함께 이행수단을 제공하고자 한다.

• 기술혁신연구
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• 제28권1호
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• pp.31-52
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• 2020

본 연구는 기술금융에 사용되는 '미래 진보성' 중심의 기술력 평가모형을 이용하여 기업의 고활동성 여부에 대한 사전적(Ex-ante) 판별력 검증을 목적으로 한다. 분석 대상기업을 업종(제조업군/비(非)제조업군)과 업력(창업기업군/비(非)창업기업군)으로 구분한 후 해당 군집의 평균 총자산회전율 2배 이상을 달성한 기업을 고활동성 중소기업으로 정의하였다. 의사결정나무 모형 중 하나인 C5.0 기법을 적용하여 판별모형을 작성한 결과 모든 업종과 업력에서 99% 이상의 분류정확도를 보였으며, 모형의 판별력이 안정적임을 확인하였다. 분석 결과 경영진 전문성, 자본참여도, 자금조달능력 항목은 업종·업력과 무관하게 고활동성 중소기업 여부를 결정하는 중요변수로 확인되었으며, 제조업군에서는 기술경영능력과 기술수명주기 또한 고활동성 중소기업 여부를 결정하는 평가항목임이 확인되었다. 이를 통해 기술력 평가항목을 이용하여 고활동성 중소기업 여부에 대한 사전적 판별 및 정책적 활용에 대한 가능성을 일정부분 확인할 수 있었다.

• 분석과학
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• 제36권1호
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• pp.22-31
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• 2023

As the use of e-liquid cigarettes is rapidly increasing worldwide, it multiplies the potential risk undisclosed to the health of non- and smokers. To reduce the hazard, each country has its own set of regulations for controlling e-liquids. In Korea, the narrow definition of tobacco makes it difficult and have been steadily occurring tax evasion exploiting the difference in natural and artificial nicotine. Therefore, it is very important to distinguish source of nicotine for their regulation. To find biochemical discriminant markers, this study established analysis methods based on high-performance liquid chromatography coupled with diode array detector (HPLC-DAD) and high-performance liquid chromatography coupled with triple Quadrupole mass spectrometry (HPLC-MS/MS) for nicotine enantiomers and tobacco alkaloids targeted using the difference in pathways of nicotine biosynthesis and chemical synthesis. The method was validated by experimenting linearity (R² > 0.999), recovery (80.99-108.41 %), accuracy (94.11-109.73 %) and precision (0.04-8.27 %). Then, the results for discrimination of the nicotine obtained from analysis of 65 commercial e-liquid products available in Korean market was evaluated. The method successfully applied to the e-liquids and one sample labelled 'synthetic nicotine' for tax exemption was found to contain a natural nicotine product. This method can be used to determine whether an e-liquid product uses natural or artificial nicotine and monitor non-taxable e-liquid products. The method is more scientific than the existing one, which relies only on field evidence.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.20-27
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• 2020

Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF). In this paper, we proposed a deep learning model that integrates Convolution Neural Network (CNN) with Non-Negative Matrix Factorization (NMF). To improve the separation quality of the NMF, it includes noise update technique that learns and adapts the characteristics of the current noise in real time. The noise update technique analyzes the sparsity and activity of the noise bias at the present time and decides the update training based on the noise candidate group obtained every frame in the previous noise reduction stage. Noise bias ranks selected as candidates for update training are updated in real time with discrimination NMF training. This NMF was applied to CNN and Hidden Markov Model(HMM) to achieve improvement for performance of sound event detection. Since CNN has a more obvious performance improvement effect, it can be widely used in sound source based CNN algorithm.

• Animal cells and systems
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• 제9권1호
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• pp.13-18
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• 2005

Cannibalism plays important roles at the levels of both individual and population. To enhance overall rate of successful survival and reproduction, salamander larvae may have evolved to consume both conspecifics and heterospecifics. Consuming conspecifics could result in decreased inclusive fitness possibly by killing relatives. In several salamander species, discrimination of salamander larval siblings from non-siblings and heterospecifics to avoid such a risk has been reported. To determine whether the Korean salamander larvae consume non-siblings more often than siblings and to analyze prey preferences of the salamander larvae in several different experimental conditions, a series of foraging experiments was conducted in the laboratory. We found that 1) large cannibal larvae preyed on small sibling more often than small non-sibling in a mixed group of sibling and non-sibling, 2) cannibal larvae prefered to consume live, weak, and small larvae to dead, healthy, and large larvae, and 3) cannibal larvae consumed heterospecific tadpoles more often than conspecific nonsibling larvae in a mixed group. In addition, the larval density was positively correlated with the occurrence of spacing behavior, one of the agonistic predator behaviors among salamander larvae.

• 한국발생생물학회지:발생과생식
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• 제25권2호
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• pp.113-121
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• 2021

This article aims to introduce German discussion on the approval of the non-invasive prenatal diagnosis (NIPD), which started with the development of PrenaTest^® by LifeCodexx AG. The discussion started with the concern that the non-invasive nature of NIPD, such as PrenaTest^®, may rapidly expand the use and scope of similar tests, thus leading to a new era of eugenics. Based on this concern, the need for clear clinical guidelines on specific indications for NIPD has been suggested. Along the same line, it was discussed whether PrenaTest^® is against the Basic Law prohibiting discrimination on grounds of disability and whether the test is outside the scope of the purpose of gene testing limited by Genetic Diagnosis Act. Through such discussion, the Federal Ministry of Health of Germany established the preconditions for inclusion of NIPD in the German public health insurance system. For this, the German motherhood guideline was amended and the information for the insured persons provided to pregnant women was included in the amended guideline. Such discussion made in Germany provides insight on which points should be considered when various gene testings are accepted in Korea, in which genetic communication has not been systematized yet. In particular, German counseling system for pregnant women will provide valuable insights for Korea where the direction for regulations on abortion has not been established even after the ruling by the Constitutional Court that charges for abortion are against the constitution.

• Food Science and Biotechnology
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• 제14권4호
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• pp.537-539
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• 2005

Potential of mass spectrometer-based electronic nose to discriminate habitat of Angelicae gigantis radix was evaluated using 24 and 86 Korean and non-Korean samples, respectively. Loading plot(s) of principal component analysis of data measured through this system revealed difference between Korean samples (probability; 100%) and non-Korean ones (probability; 95.3%), suggesting this technique could be used as efficient method to differentiate habitat of A. gigantis radix.

• ETRI Journal
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• 제32권2호
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• pp.345-347
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• 2010

In this letter, we present a new speech hash function based on the non-negative matrix factorization (NMF) of linear prediction coefficients (LPCs). First, linear prediction analysis is applied to the speech to obtain its LPCs, which represent the frequency shaping attributes of the vocal tract. Then, the NMF is performed on the LPCs to capture the speech's local feature, which is then used for hash vector generation. Experimental results demonstrate the effectiveness of the proposed hash function in terms of discrimination and robustness against various types of content preserving signal processing manipulations.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.283-285
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• 2005

To account for the importance of variable in multi-sensor data fusion, random forests are applied to supervised land-cover classification. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. Its distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Supervised classification with a multi-sensor remote sensing data set including optical and polarimetric SAR data was carried out to illustrate the applicability of random forests. From the experimental result, the random forests approach could extract important variables or bands for land-cover discrimination and showed good performance, as compared with other non-parametric data fusion algorithms.

• 음성과학
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• 제8권2호
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• pp.61-71
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• 2001

Speech material, which is collected from ARS(Automatic Response System), was analyzed and classified into disease and non-disease state. The material include 11 different kinds of diseases. Along with ARS speech, DAT(Digital Audio Tape) speech is collected in parallel to give the bench mark. To analyze speech material, analysis tools, which is developed local laboratory, are used to provide an improved and robust performance to the obtained parameters. To classify speech into disease and non-disease class, multi-layered neural network was used. Three different combinations of 3, 6, 12 parameters are tested to obtain the proper network size and to find the best performance. From the experiment, the classification rate of 92.5% was obtained.