• Journal of Korea Multimedia Society
• /
• v.5 no.4
• /
• pp.386-392
• /
• 2002

In this paper, we propose a novel blocking effect reduction method based on a rational B-spline. The blocking effect results from independent coding of each image block and becomes highly visible especially coded at very low bit rates. The proposed approach adopts a rational open uniform B-spline curve that used to produce a smooth curve through a set of control points. The pixels on the block boundary are treated as control points, and the weight values, which decide the shape of curve, are determined differentially by considering the distance the position of the pixels and that of the block boundary. The simulation results show that the proposed method has excellent performance for all pattern of the blocking effect with less computational complexity.

• Fisheries and Aquatic Sciences
• /
• v.25 no.3
• /
• pp.158-166
• /
• 2022

The complete mitochondrial genome of Tremoctopus violaceus was sequenced to analyze its organization and phylogenetic status within the order Octopoda. The mitochondrial genome of T. violaceus had a structure and organization similar to that of other Octopoda. The content of the nucleotides A, C, G, and T was 31.68 %, 7.71 %, 20.02 %, and 40.58 %, respectively. All protein-coding genes (PCG) began with the ATG codon, excluding ND4 and ATP6, which began with ATC and ATT, respectively, and terminated with TAG, TAA, TA, or T. Codons for isoleucine were the most used codons, whereas those for arginine were used the least. Two extra tRNAs, trnN and trnL, were found in the control region. These tRNAs have a D-armless structure. The control region had excess A + T content (83.16 %) and a stem-loop structure with two elements, which is reported for the first time in Octopoda by our study. Bayesian inference using 13 PCG revealed that Octopus and Octopodidae were polyphyletic, and that Tremoctopodidae diverged relatively earlier within Octopoda. The mitochondrial genome of T. violaceus and its characteristics may help to understand the evolutionary history of Octopoda and establish a marine biodiversity conservation strategy.

• Journal of Genetic Medicine
• /
• v.20 no.2
• /
• pp.39-45
• /
• 2023

As advanced sequencing technologies continue to uncover an increasing number of variants in genes associated with human genetic diseases, there is a growing demand for systematic approaches to assess the impact of these variants on human development, health, and disease. While in silico analyses have provided valuable insights, it is essential to complement these findings with model organism studies to determine the functional consequences of genetic variants in vivo. Drosophila melanogaster is an excellent genetic model for such functional studies due to its efficient genetic technologies, high gene conservation with humans, accessibility to mutant fly resources, short life cycles, and cost-effectiveness. The traditional GAL4-UAS system, allowing precise control of gene expression through binary regulation, is frequently employed to assess the effects of monoallelic variants. Recombinase medicated cassette exchange or CRISPR-Cas9-mediated GAL4 insertion within coding introns or substitution of gene body with Kozak-Gal4 result in the loss-of-function of the target gene. This GAL4 insertion strategy also enables the expression of reference complementary DNA (cDNA) or cDNA carrying genetic variants under the control of endogenous regulatory cis elements. Furthermore, the CRISPR-Cas9-directed tissue-specific knockout and cDNA rescue system provides the flexibility to investigate candidate variants in a tissue-specific and/or developmental-timing dependent manner. In this review, we will delve into the diverse genetic techniques available in Drosophila and their applications in diagnosing and studying numerous undiagnosed diseases over the past decade.

• Journal of Plant Biotechnology
• /
• v.1 no.2
• /
• pp.85-90
• /
• 1999

In order to protect fungal diseases, leaf disc explants of Solanum tuberosum cultivar, Belchip, was infected with an Agrobacterium MP90 strain containing chimeric gene construct, consisting of antibiotic resistance and chitinase gene driven by the CaMV 35S promoter, for transformation. Regenerated multiple shoots were selected on a medium containing kanamycin and carbenicillin after exposure to Agrobacterium. The presence and integration of the npt II and chitinase gene were confirmed by polymerase chain reaction(PCR). Northern blot analysis indicated that the genes coding for the enzyme could be expressed in potato plants. The chitinase activity of transgenic potato plants was higher than the control potato.

• Proceedings of the Korean Information Science Society Conference
• /
• 1999.10b
• /
• pp.259-261
• /
• 1999

본 논문은 MPEG-2 TM 5 video 부호기의 전체구조 및 처리과정을 기술한다. MPEG-2는 저장 매체, 통신, 방송 매체 등을 위한 동영상 압축이 표준이다. MPEG-2 압축 방법에는 공간적 압축과 시간적 압축 방법이 있다. 공간적 압축 방법에는 화면에서의 중복성을 줄이기 위한 표본화 주파수(4:4:4, 4:2:2, 4:2:0, format), DCT, scanning(zigzag 혹은 alternate scanning)과 quantization이 있고 시간적 압축 방법에는 움직임 예측(motion estimation)과 I, P, B-picture를 사용하는 방법이 있다. 본 논문에서는 MPEG-2 부호기의 핵심을 전체 구조, DPCM, MPEG bitstream syntax, MPEG-2 부호화 알고리즘, 움직임 예측, 움직임 벡터, rate control 그리고 가변길이 코딩(variable length coding)으로 구분하여 소개한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2010.11a
• /
• pp.91-92
• /
• 2010

계층적 부호화 구조는 H.264/AVC의 부호화 효율을 최대화하고 시간적 스케일러빌리티를 지원하는 등 다양한 장점을 제공한다. 이러한 구조에서 비트 할당 및 비트율 제어 기술은 비디오 코덱의 성능을 향상시킬 수 있는 중요한 요소들이다. 기존의 비트율 제어 기술에서는 계층적 구조의 특성을 고려하지 못한 비트율-양자화 모델을 사용하여 비디오 코덱의 성능을 최적화하기에 어려움이 있었다. 따라서, 본 논문에서는 계층적 구조에서도 효율적으로 비트 할당 및 비트율 제어를 할 수 있도록, 기존보다 향상된 비트율-양자화 모델을 제안한다. 그리고 실험을 통하여 제안하는 비트율-양자화 모델이 기존 기술에 비해 정확함을 보인다.

• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.931-936
• /
• 2006

This paper presents different issues of the real-time compression algorithms without compromising the video quality in the distributed environment. The theme of this research is to manage the critical processing stages (speed, information lost, redundancy, distortion) having better encoded ratio, without the fluctuation of quantization scale by using IP configuration. In this paper, different techniques such as distortion measure with searching method cover the block phenomenon with motion estimation process while passing technique and floating measurement is configured by discrete cosine transform (DCT) to reduce computational complexity which is implemented in this video codec. While delay of bits in encoded buffer side especially in real-time state is being controlled to produce the video with high quality and maintenance a low buffering delay. Our results show the performance accuracy gain with better achievement in all the above processes in an encouraging mode.

• ETRI Journal
• /
• v.42 no.1
• /
• pp.26-35
• /
• 2020

Herein, we consider uplink multiuser massive multiple-input multiple-output systems when multiple users transmit information symbols to a base station (BS) by applying simple space-time block coding (STBC). At the BS receiver, two detection filters for each user are used to detect the STBC information symbols. One of these filters is for odd-indexed symbols and the other for even-indexed symbols. Using constrained output variance metric minimization, we first derive a special relation between the closed-form optimal solutions for the two detection filters. Then, using the derived special relation, we propose a new blind adaptive algorithm for implementing the minimum output variance-based optimal filters. In the proposed adaptive algorithm, filter weight vectors are updated only in the region satisfying the special relation. Through a theoretical analysis of the convergence speed and a computer simulation, we demonstrate that the proposed scheme exhibits faster convergence speed and lower steady-state bit error rate than the conventional scheme.

• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.120-123
• /
• 1997

This paper presents models of fuzzy inference systems that can be built from a set of input-output training data pairs through hybrid structure-parameter learning. Fuzzy inference systems has the difficulty of parameter learning. Here we develop a coding format to determine a fuzzy neural network(FNN) model by chromosome in a genetic algorithm(GA) and present systematic approach to identify the parameters and structure of FNN. The proposed FNN can automatically identify the fuzzy rules and tune the membership functions by modifying the connection weights of the networks using the GA and the back-propagation learning algorithm. In order to show effectiveness of it we simulate and compare with conventional methods.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.73-77
• /
• 2003

This paper presents a high-speed algorithmic analog-to-digital converter (ADC), which is based on gray coding. The realization method makes use of a two-input maximum circuit to provide a high-speed operation and a low-distortion in the transfer characteristic. The proposed ADC based on the CMOS integrated circuit technique is simple and suitable for implementing a highresolution ADC. The performances of the proposed circuit were studied using the PSPICE analog simulation program. The simulation-results verifying the circuit performances are agreed with the expected values.