• 방송공학회논문지
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• 제18권2호
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• pp.271-282
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• 2013

최근 ITU-T/VCEG과 ISO/IEC MPEG은 공동으로 차세대 비디오 압축 표준 기술인 High efficient video coding (HEVC)를 제정하고 있다. HEVC는 H.264/AVC 표준 기술과 비교해 보면 매우 향상된 압축 효율을 보여 주고 있으며, 특히 Full HD 이상의 매우 큰 사이즈의 동영상 및 그에 따른 고화질 비디오 서비스를 주요 목표로 하고 있다. 그러나 품질과 압축 효율 향상을 위해 새로운 구조와 압축 도구들이 추가됨으로써 인코더의 연산 복잡도가 매우 증가되어 있으며, 이에 화질의 열화를 최소한으로 유지하면서 계산량을 감소시키는 연구가 필요해 지고 있는 상황이다. 본 연구에서는 화면 간 예측 시에 부호화 단위의 분할을 효율적으로 조기 종료하는 방법을 제안한다. 제안된 방법은 현재 코딩 단위 (Coding unit)의 움직임 벡터 정보, 율-왜곡 비용, 그리고 상위 코딩 단위에서의 개별 사이즈에 대한 평균 율-왜곡 비용값을 활용하여 분할을 조기에 중단한다. 실험 결과를 통하여 제안된 방법이 기존의 ECU 방법보다 약 10% 정도로 속도 향상이 있으며, HM 참조 소프트웨어와 비교 시 BD-rate 증가는 1.975% 정도로 매우 적게 나타남을 보인다.

• 한국재료학회지
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• 제4권3호
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• pp.268-279
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• 1994

단일상을 갖는 $Bi_2S_2CaCu_2O_{8+x}$ (2212)의 x-ray 분말 pattern을 a=5.408, c=30.83 $\AA$의 격자상수 및 역격자 벡터 $q^*=0.211b^*-c^*$을 갖는 pseudo tetragonal subcell을 이용하여 모두 index하였다. 임계온도 110K를 갖는 $Bi_2S_2CaCu_2O_{10+x}$ 상은 incommensurate supercell에 속하는 매우 많은 x-ray분말선들을 가지고 있다. Indixing guide로 전자회절사진(electron diffraction photographs)을 이용 x-ray분말 pattern에 대한 지수결정방법을 얻었다.$Bi_2S_2CaCu_2O_{10+x}$(2223)의 단위세표(unit cell)는 기하학적으로 격자상수 a=5.411, b=5.420, c=37.29(2) A을 갖는 orthorhombic subcell이다. Supercell반사 지수들은 subcell의 파 벡터 $\pm q^*=0.211b^*-0.78c^*$을 갖는 k,1지수로부터 영향을 받은 것이다. b 방향으로의 inconnensurate성분 $\delta$는 두 상에 대해 다 같으나, 2212에서 2223 상으로의 변환에 따라 c 방향으로의 초격자성분(superlattic component)은 connensurate($\varepsilon$=1)로부터 incommensurate($\varepsilon$=0.78)로 변한다.

• Plant Biotechnology Reports
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• 제5권2호
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• pp.147-156
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• 2011

Efficient Agrobacterium-mediated genetic transformation of Scoparia dulcis L. was developed using Agrobacterium tumefaciens strain LBA4404 harboring the binary vector pCAMBIA1301 with ${\beta}$-glucuronidase (GUS) (uidA) and hygromycin phosphotransferase (hpt) genes. Two-day precultured leaf segments of in vitro shoot culture were found to be suitable for cocultivation with the Agrobacterium strain, and acetosyringone was able to promote the transformation process. After selection on shoot organogenesis medium with appropriate concentrations of hygromycin and carbenicillin, adventitious shoots were developed on elongation medium by twice subculturing under the same selection scheme. The elongated hygromycin-resistant shoots were subsequently rooted on the MS medium supplemented with $1mg\;l^{-1}$ indole-3-butyric acid and $15mg\;l^{-1}$ hygromycin. Successful transformation was confirmed by PCR analysis using uidA- and hpt-specific primers and monitored by histochemical assay for ${\beta}$-GUS activity during shoot organogenesis. Integration of hpt gene into the genome of transgenic plants was also verified by Southern blot analysis. High transformation efficiency at a rate of 54.6% with an average of $3.9{\pm}0.39$ transgenic plantlets per explant was achieved in the present transformation system. It took only 2-3 months from seed germination to positive transformants transplanted to soil. Therefore, an efficient and fast genetic transformation system was developed for S. dulcis using an Agrobacterium-mediated approach and plant regeneration via shoot organogenesis, which provides a useful platform for future genetic engineering studies in this medicinally important plant.

• 농업과학연구
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• 제43권1호
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• pp.21-27
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• 2016

Apple stem grooving virus (ASGV), Apple chlorotic leaf spot virus (ACLSV), and Apple stem pitting virus (ASPV) have been known to induce top working disease causing economical damage in apple. Occurrences of these three viruses in pome fruit trees, including apple, have been reported around the world. The transmission of the three viruses was reported by grafting, and there was no report of transmission through mechanical contact, insect vector, or seed except some herbaceous hosts of ASGV. As RNA extraction methods for fruit trees, Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) and multiplex RT-PCR techniques have been improved for reliability and stability, and low titer viruses that could not be detected in the past have become detectable. We studied the seed transmission ability of three apple viruses through apple seedling diagnosis using RT-PCR. Nineteen seeds obtained from commercially grown apple were germinated and two of the resulting plants were ASGV positive. Seven clones of the amplified ASGV coat protein (CP) genes of these isolates were sequenced. Overall sequence identities were 99.84% (nucleotide) and 99.76% (amino acid). Presence of a previously unreported single nucleotide and amino acid variation conserved in all of these clones suggests a possible association with seed transmission of these 'S' isolates. A phylogenetic tree constructed using ASGV CP nucleotide sequences showed that isolate S sequences were grouped with Korean, Chinese, Indian isolates from apple and Indian isolates from kiwi.

• 대한전자공학회논문지SP
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• 제47권3호
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• pp.81-86
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• 2010

CORDIC (COordinate Rotation DIgital Computer) 은 간단한 하드웨어로 벡터의 위상으로의 변환이나 회전 등의 위상 연산을 할 수 있으므로 OFDM 수신 시스템에서의 주파수 동기부를 설계할 때 효과적으로 사용될 수 있다. 그러나 CORDIC 알고리듬에서 위상을 표현하는 방향 시퀀스 (direction sequence, DS) 가 선형적이지 않기 때문에 사용상의 많은 제약이 존재한다. 본 논문에서는 근사적 선형성을 지닌 LBDS (linearized binary direction sequence) 표현 방법을 제안하고, LBDS의 최대 위상오차에 대해 분석한다. 또한 DS로부터 LBDS로 변환하는 하드웨어와 그 역변환 하드웨어의 구조를 제안한다. LBDS를 채택하면 위상 추정, 주파수 오차 루프 필터링, 위상 보정 역회전 등 주파수 동기의 전 과정에 CORDIC과 일반적인 산술 연산기를 사용할 수 있다. T-DMB 복조기에 사용될 수 있는 22비트 LBDS에 대한 예도 기술된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권6호
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• pp.1463-1479
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• 2013

In this paper, we propose an unequal protection physical coding sub-layer (PCS) forward error correction (FEC) scheme for efficient and high-quality transmission of video data over optical access networks. Through identifying and resolving the unequal importance of different video frames and passing this importance information from MAC-layer to PCS, FEC scheme of PCS can be adaptive to application-layer data. Meanwhile, we jointly consider the different channel situations of optical network unit (ONU) and improve the efficiency of FEC redundancy by channel adaptation. We develop a theoretical algorithm and a hardware method to achieve efficient FEC assignment for the proposed unequal protection scheme. The theoretical FEC assignment algorithm is to obtain the optimal FEC redundancy allocation vector that results in the optimum performance index, namely frame error rate, based on the identified differential importance and channel situations. The hardware method aims at providing a realistic technical path with negligible hardware cost increment compared with the traditional FEC scheme. From the simulation results, the proposed Channel and Application-layer data Adaptation Unequal Protection (CAAUP) FEC scheme along with the FEC ratio assignment algorithm and the hardware method illustrates the ability of efficient and high-quality transmission of video data against the random errors in the channel of optical access networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1730-1747
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• 2018

Multi-view video plus depth (MVD) is a mainstream format of 3D scene representation in free viewpoint video systems. The advanced 3D extension of the high efficiency video coding (3D-HEVC) standard introduces new prediction tools to improve the coding performance of depth video. However, the depth video in 3D-HEVC is time consuming. To reduce the complexity of the depth video inter coding, we propose a fast coding unit (CU) size and mode decision algorithm. First, an off-line trained Bayesian model is built which the feature vector contains the depth levels of the corresponding spatial, temporal, and inter-component (texture-depth) neighboring largest CUs (LCUs). Then, the model is used to predict the depth level of the current LCU, and terminate the CU recursive splitting process. Finally, the CU mode search process is early terminated by making use of the mode correlation of spatial, inter-component (texture-depth), and inter-view neighboring CUs. Compared to the 3D-HEVC reference software HTM-10.0, the proposed algorithm reduces the encoding time of depth video and the total encoding time by 65.03% and 41.04% on average, respectively, with negligible quality degradation of the synthesized virtual view.

• 셀메드
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• 제4권1호
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• pp.2.1-2.17
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• 2014

The plant kingdom is considered to be a repository of modern medicine, attributable to their rich source of bio-active molecules and secondary metabolites. It is indeed the Nutraceuticals that enhance immunity and ensure a healthier life because of their prophylactic and therapeutic values. Over centuries, papaya [Caricaceae; (Carica papaya Linn.)] is a renowned nutritious and medicinal plant. Each part of the papaya like root, stem, leaf, flower, fruit, seed, rinds, and latex has its own nutraceutical properties. It serves as food, cooking aid, and Ethnomedicine to prevent and treat wide-range of diseases and disorders. It has also been traditionally used as appetite enhancer, meat tenderizer, purgative, medicinal acne, abortifacient and vermifuge. Over decades, a series of scientific attempts were made to authenticate the nutraceutical properties of papaya. These studies validated that the papaya has antiplasmodial, antitrichochramal, antitrichomonal, antidengue, and anti-cancer activities. They have also exhibited that papaya possesses antiseptic, antiparasitic, anti-inflammatory, antidiabetic, and contraceptive features, and it helps in the management of sickle-cell anaemia, HIV, heart diseases and digestional disorders too. Nevertheless, the responsible bio-active molecules and their mode of actions remain indistinct and imprecise, and this calls for further pharmacological and clinical research on them. Conclusively, papaya is one of the naturally gifted plants; though its nutraceutical properties as a food or as a quasi-drug are poorly understood or undervalued by people. Accordingly, this scrutiny, demand for instigation of public health awareness campaigns to promote papaya consumption, so that the society shall acquire optimal benefits of papaya and in turn prevent and alleviate various diseases and illness.

• 한국전기전자재료학회논문지
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• 제24권2호
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• pp.95-101
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• 2011

In wireless X networks where all transmitters send the independent messages to all receivers, the theoretical bound on the degrees of freedom (DOF) and interference alignment (IA) scheme for its achievability are given by Cadambe and Jafar [1]. However, IA scheme for wireless X network may be infeasible in practice unless the transmitters have the perfect channel information. In addition, if the transmitter with single antenna uses time-varying channel coefficients as a beamforming vector, the infinite channel extension is required to achieve the theoretical bound on the DOF of wireless X networks with perfect IA scheme. In this paper, we consider K-user MIMO X network where K transmitters and K receivers have M antennas each. While the beamforming vectors have been constructed with multiple channel uses over multiple time slot in the earlier work, we consider the beamforming vectors constructed only by a spatial signature over unit time. Accordingly the channel information at the transmitters can be available instantaneously. Then we propose the perfect IA scheme with no channel extension. Based on our sum-rate analysis and the simulation results, we confirm that our proposed scheme can achieve MK/2 DOF which is quite close to the theoretical bound on the DOF region of wireless X networks.

• Journal of Information Processing Systems
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• 제9권1호
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• pp.117-140
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• 2013

Hindi is the most widely spoken language in India, with more than 300 million speakers. As there is no separation between the characters of texts written in Hindi as there is in English, the Optical Character Recognition (OCR) systems developed for the Hindi language carry a very poor recognition rate. In this paper we propose an OCR for printed Hindi text in Devanagari script, using Artificial Neural Network (ANN), which improves its efficiency. One of the major reasons for the poor recognition rate is error in character segmentation. The presence of touching characters in the scanned documents further complicates the segmentation process, creating a major problem when designing an effective character segmentation technique. Preprocessing, character segmentation, feature extraction, and finally, classification and recognition are the major steps which are followed by a general OCR. The preprocessing tasks considered in the paper are conversion of gray scaled images to binary images, image rectification, and segmentation of the document's textual contents into paragraphs, lines, words, and then at the level of basic symbols. The basic symbols, obtained as the fundamental unit from the segmentation process, are recognized by the neural classifier. In this work, three feature extraction techniques-: histogram of projection based on mean distance, histogram of projection based on pixel value, and vertical zero crossing, have been used to improve the rate of recognition. These feature extraction techniques are powerful enough to extract features of even distorted characters/symbols. For development of the neural classifier, a back-propagation neural network with two hidden layers is used. The classifier is trained and tested for printed Hindi texts. A performance of approximately 90% correct recognition rate is achieved.