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Efficient Motion-Vector Reusing on MPEG-2 to H. 264 Transcoding
Seulki Shin,Jitae Shin 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
In this paper, we propose an efficient Motion Vector (MV) reusing algorithm on transcoding from MPEG-2 to H.264. Basically on transcoding, MVs derived from the input video stream can be a good reference to estimate MVs for the output. So, we propose the MV refinement algorithm based on diamond search algorithm to get the best MV for the output. At the result, we improve computational complexity while the video quality is degraded just a little with the consideration of tremendous rate reduction from 2 Mbps in MPEG-2 to several hundred kbps in H.264 streams.
Yan Wang,Jitae Shin 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3
Modern image inpainting techniques based on deep learning have achieved remarkable performance, and more and more people are working on repairing more complex and larger missing areas, although this is still challenging, especially for facial image inpainting. For a face image with a huge missing area, there are very few valid pixels available; however, people have an ability to imagine the complete picture in their mind according to their subjective will. It is important to simulate this capability while maintaining the identity features of the face as much as possible. To achieve this goal, we propose a three-stage network model, which we refer to as the identity and structure feature refinement network (ISFRNet). ISFRNet is based on 1) a pre-trained pSp-styleGAN model that generates an extremely realistic face image with rich structural features; 2) a shallow structured network with a small receptive field; and 3) a modified U-net with two encoders and a decoder, which has a large receptive field. We choose structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), L1 Loss and learned perceptual image patch similarity (LPIPS) to evaluate our model. When the missing region is 20%-40%, the above four metric scores of our model are 28.12, 0.942, 0.015 and 0.090, respectively. When the lost area is between 40% and 60%, the metric scores are 23.31, 0.840, 0.053 and 0.177, respectively. Our inpainting network not only guarantees excellent face identity feature recovery but also exhibits state-of-the-art performance compared to other multi-stage refinement models.
Proportional-Rate Scheduling in OFDMA System
Kyoungduk Kim,Jitae Shin 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
In OFDMA system, previous proposed algorithms have aimed for focusing on satisfying a certain QoS parameter rather than on fulfillment of multiple QoS parameters. So, in this paper, we propose a subcarrier allocation method that offers proportional service to different user classes, with sustaining basic users’ QoS in OFDMA environment. Proposed proportional-rate QoS scheduling algorithm can offer adaptive service to different user groups according to the groups’ proportional rate ratio with satisfying user’s minimum throughput based on various QoS scheduling algorithm at the same time. And it is validated that the proposed scheduling algorithm is efficient through computer simulations. Simulation results show that the proposed scheduling algorithm has higher efficiency in differential resource allocation for premium service than previous scheduling algorithms for QoS in OFDMA systems.
전혜원,신영규,정지태,독고영창 고려대학교 의과대학 1998 고려대 의대 잡지 Vol.35 No.1
To evaluate postnatal changes of seropositivities and levels of rubella-specific IgG, this study analyzed the serum levels of rubella-specific IgG in term pregnant women and their neonates, unvaccinated infants, vaccinated children and adolescents by the ELISA method. Sera were collected from 44 pairs of pregnant women and neonates, 147 unvaccinated infants, and 491 vaccinated children and adolescents. The results obtained were as follows: 1. The seropositivities of rubella-specific IgG were 38.6% in mother and 38.6% in newborn. And the average antibody levels were 0.141±0.138 in mothers and 0.139±0.132 in neonates respectively. Rubella specific IgG had significant correlation between mothers and their newborns (correlation coefficient r=0.8370, p<0.001). 2. The seropositivities of rubella-specific IgG were 58.8% in ≤ 1 month, 70% in 2-3 months, 13.3% in 4-5 months, and 0% after 6 months of ages in unvaccinated infants respectively. The seropositivities and antibody levels had significantly decreased with age, and there was also significant correlation between rubella-specific IgG and age(correlation coefficient r=-0.5003, p<0.001). 3. The seropositivities in vaccinated children were 72.4% in 1.5-2 years, 75% in 3-4 years, 72.0% in 5-6 years, 60% in 7 years, 44.4% in 8 years, 40.6% in 9 years, 28.2% in 10 years, 23.1% in 11 years, and 17.2% in 12 years of age respectively. The average levels and seropositivities of rubella-specific IgG significantly decreased by age (p<0.001) and there was negative correlation between rubella-specific IgG and children's age (correlation coefficient r=-0.5509, p<0.001). 4. The seropositivities and the levels of rubella-specific IgG in adolescents significantly increased with age (p<0.001) and there was positive correlation between antibody levels and ages(correlation coeffcient r=0.3752, p<0.001). But seropositivity of rubella specific IgG was lowest in 13 years of age and then increased suddenly in 14 years of age. After 15 years of age it decreased slightly with age.
Multi-Objective Handover in LTE Macro/Femto-Cell Networks
Roy, Abhishek,Shin, Jitae,Saxena, Navrati The Korea Institute of Information and Commucation 2012 Journal of communications and networks Vol.14 No.5
One of the key elements in the emerging, packet-based long term evolution (LTE) cellular systems is the deployment of multiple femtocells for the improvement of coverage and data rate. However, arbitrary overlaps in the coverage of these femtocells make the handover operation more complex and challenging. As the existing handover strategy of LTE systems considers only carrier to interference plus noise ratio (CINR), it often suffers from resource constraints in the target femtocell, thereby leading to handover failure. In this paper, we propose a new efficient, multi-objective handover solution for LTE cellular systems. The proposed solution considers multiple parameters like signal strength and available bandwidth in the selection of the optimal target cell. This results in a significant increase in the handover success rate, thereby reducing the blocking of handover and new sessions. The overall handover process is modeled and analyzed by a three-dimensional Markov chain. The analytical results for the major performance metrics closely resemble the simulation results. The simulation results show that the proposed multi-objective handover offers considerable improvement in the session blocking rates, session queuing delay, handover latency, and goodput during handover.