• KOREAN POULTRY JOURNAL
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• v.48 no.2
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• pp.128-131
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• 2016

물은 생물체 내에 다량으로 존재하며 생체에서는 각종 생체물질의 이상적 용매와 생화학반의 반응물지로서 중요한 역할을 한다. 20년 간 축적된 기술력과 노하우로 양계장에 음수소독, 환경개선 등으로 농가 수익에 도움을 주고 있는 (주)소프트아쿠아(대표이사 장희정)는 수처리업계에서 큰 정평이 나 있다. 이번호에는 음수관리로 질병예방, 면역력 증강을 제안하는 (주)소프트아쿠아를 소개코자 한다.

• School Mathematics
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• v.8 no.1
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• pp.1-25
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• 2006

To be good at numeration is an important matter in learning mathematics. Unlike the 6-th curriculum, integers are introduced in middle school curriculum for the first time in the 7-th curriculum. Therefore, to help the students team integers systematically and thoroughly, it is necessary that we allow more space for process of introduction, process of operations and practice of operations in the 7-th curriculum text book than that of 6-th curriculum text book. As specific and systemic visualized teaching of operation is especially important in building the concept of operation, by using visualized teaching methods, students can understand the process of operation more fully and systematically. Moreover, students become proficient in operation of positive number and negative numbers by expending this learning process of operations to the operations used absolute value. In 7-th grade mathematics, the expression of positive numbers and negative numbers visually are useful for understanding of operations for numbers. But it is not easy to do so. In this paper we use arrows(directed segments) to express positive numbers and negative numbers visually and apply them to perform the operations for numbers. Using arrows, we can extend the method used in elementary school mathematics to the methods for operations of positive numbers and negative number in 7-th grade mathematics. By experiments, we can know that such processes of introduction for operations are effective and this way helps teachers teach and students learn.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.881-888
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• 2020

In this paper, in order to improve the degraded BER performance of the stronger channel user in non-orthogonal multiple access(: NOMA) with interactive mobile users, we propose the negative correlation bit-to-symbol(: B2S) mapping. First, the closed-form expression for the BER of the negative correlation B2S mapping receiver is derived, and then it is shown that the BER of the negative correlation B2S mapping receiver is improved, compared with those of the ideal perfect successive interference cancellation(: SIC) receiver and positive correlation receiver. Additionally, based on the analytical expression, signal-to-noise(: SNR) gain is calculated, and the superiority of the negative correlation B2S mapping receiver is validated.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.661-666
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• 2010

In this paper, we apply a likelihood ratio test (LRT) to a non-negative matrix factorization (NMF) based voice activity detection (VAD) to find optimal threshold. In our approach, the NMF based VAD is expressed as Euclidean distance between noise basis vector and input basis vector which are extracted through NMF. The optimal threshold each of noise environments depend on NMF results distribution in noise region which is estimated statistical model-based VAD. According to the experimental results, the proposed approach is found to be effective for statistical model-based VAD using LRT.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.3
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• pp.55-62
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• 2017

Non-negative matrix factorization (NMF) is one of the typical parts-based representation in which images are expressed as a linear combination of basis vectors that show the lcoal features or objects in the images. In this paper, we represent face images using various NMF methods and recognize their face identities based on extracted features using a learning vector quantization. We analyzed the various NMF methods by comparing extracted basis vectors. Also we confirmed the availability of NMF to the face recognition by verification of recognition rate of the various NMF methods.

• Monthly Korean Chicken
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• v.16 no.6
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• pp.124-126
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• 2010

양계인이라면 누구나 생독백신 접종 후에 나타나는 백신접종반응(기침 등 호흡기 증상)은 적으면서 백신접종효능(항제 형성능 및 질병방어효과)은 아주 우수한 그런 종류의 생독 백신이나 접종법을 찾게 마련이다. 국내의 경우 1일령 병아리에 대한 닭 뉴캣슬병 생독백신 접종이 의무화되어 있어 부화장에서 병아리 분양 시 분무백신기를 이용한 닭 뉴캣슬병 생독백신을 접종하게 되고, 또한 농장에서 닭 뉴캣슬병 추가백신 접종이나 닭 전염성 기관지염 백신 접종 시에도 분무접종을 실시하기도 하는 등 분무접종에 대한 경험은 누구나 가지고 있을 것이다. 그러나 음수접종법과 달리 분무접종 시 심한 백신접종반응을 경험하게 되는 양계인들도 쉽게 만나볼 수 있다. 생독백신은 음수접종법을 비롯하여 점안접종법 및 분무접종법 등 다양한 접종방법이 현재 야외농장에서 응용되고 있으며, 국내 육계사육 시에는 음수접종법과 분무접종법이 주로 사용되고 있다. 하지만 동일한 종류의 생독백신이라 할지라도 백선접종방법에 따라 백신접종 후 백신접종효능뿐만 아나라 백신접종반응에도 많은 차이를 보이게 되며 동일한 분무접종법이라 하더라도 어떠한 입자 크기의 분무기를 사용했는가에 따라서도 이러한 차이는 있다. 분무접종은 백신 바이러스가 비강，눈(harderian gland) 뿐만 아니라 상부 호흡기도에 직접적으로 작용을 하여 강력함 국소면역능을 유발하는 장점을 가지고 있으나 접종일령이나 접종 백신의 종류를 고려한 분무입자 크기의 선택이 제대로 이루어지지 않아 음수접종법에 비해 접종 부작용이 크게 나타나는 백신접종법으로 인식되어 있는 실정이다. 따라서 이번 호에서는 호흡기 질병의 예방 백신 분무접종에 대해 알아보고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.729-736
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• 2019

In this paper, we propose a method to improve the background sound separation performance by adding a Wiener filter to the end of the non - negative matrix factorization method. In the case of a mixed voice signal with background sound, a part that has not yet been completely separated may remain in the signal that separated first by the non-negative matrix factorization method. In this case, it can be reduced in proportion to the size of the residual signal due to the Wiener filter, so that the background sound separation or reduction effect can be expected. Experimental results show that the addition of the Wiener filter is more effective than the case of applying the non-negative matrix factorization method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.682-689
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• 2019

In part-based image representation, the partial shapes of an object are represented as basis vectors, and an image is decomposed as a linear combination of basis vectors where the coefficients of those basis vectors represent the partial (or local) feature of an object. In this paper, a face recognition for occluded faces is proposed in which face images are represented using non-negative matrix factorization(NMF), one of part-based representation techniques, and recognized using an artificial neural network technique. Standard NMF, projected gradient NMF and orthogonal NMF were used in part-based representation of face images, and their performances were compared. Learning vector quantizer were used in the recognizer where Euclidean distance was used as the distance measure. Experimental results show that proposed recognition is more robust than the conventional face recognition for the occluded faces.

• The Journal of the Acoustical Society of Korea
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• v.41 no.4
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• pp.468-479
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• 2022

To detect targets with active sonar system in the underwater environments, the targets are localized by receiving the echoes of the transmitted sounds reflected from the targets. In this case, reverberation from the scatterers is also generated, which prevents detection of the target echo. To detect the target effectively, reverberation suppression techniques such as pre-whitening based on autoregressive model and principal component inversion have been studied, and recently a Non-negative Matrix Factorization (NMF)-based technique has been also devised. The NMF-based reverberation suppression technique shows improved performance compared to the conventional methods, but the geometry of the transducer and receiver and attenuation by distance have not been considered. In this paper, the performance is improved through preprocessing such as the directionality of the receiver, Doppler related thereto, and attenuation for distance, in the case of using a continuous wave with a bistatic sonar. In order to evaluate the performance of the proposed system, simulation with a reverberation model was performed. The results show that the detection probability performance improved by 10 % to 40 % at a low false alarm probability of 1 % relative to the conventional non-negative matrix factorization.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.469-472
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• 2006

본 논문은 비음수 행렬 인수분해(NMF, non-negative matrix factorization)를 이용하여 문장을 추출하여 문서를 요약하는 새로운 방법을 제안하였다. 제안된 방법은 문장추출에 사용되는 의미 특징(semantic feature)이 비 음수 값을 갖기 때문에 잠재의미분석에 비해 문서의 내용을 정확하게 요약한다. 또한, 적은 계산비용을 통하여 쉽게 요약 문장을 추출할 수 있는 장점을 갖는다.