• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.440-451
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• 2019

We propose a system that allows three dimensional manipulation of face in video. The 3D face manipulation of the proposed system overlays the 3D face model with the user 's manipulation on the face region of the video frame, and it allows 3D manipulation of the video in real time unlike existing applications or methods. To achieve this feature, first, the 3D morphable face model is registered with the image. At the same time, user's manipulation is applied to the registered model. Finally, the frame image mapped to the model as texture, and the texture-mapped and deformed model is rendered. Since this process requires lots of operations, parallel processing is adopted for real-time processing; the system is divided into modules according to functionalities, and each module runs in parallel on each thread. Experimental results show that specific parts of the face in video can be manipulated in real time.

• Journal of Broadcast Engineering
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• v.20 no.3
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• pp.421-429
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• 2015

This paper is about an approach for pedestrian detection and tracking with infrared imagery. We used the CUDA(Computer Unified Device Architecture) that is a parallel processing language in order to improve the speed of video-based pedestrian detection and tracking. The detection phase is performed by Adaboost algorithm based on Haar-like features. Adaboost classifier is trained with datasets generated from infrared images. After detecting the pedestrian with the Adaboost classifier, we proposed a particle filter tracking strategies on HSV histogram feature that exploit adaptively at the same time. The proposed approach is implemented on an NVIDIA Jetson TK1 developer board that is full-featured device ideal for software development within the Linux environment. In this paper, we presented the results of parallel processing with the NVIDIA GPU on the CUDA development environment for detection and tracking of pedestrians. We compared the object detection and tracking processing time for night-time images on both GPU and CPU. The result showed that the detection and tracking speed of the pedestrian with GPU is approximately 6 times faster than that for CPU.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.18 no.2
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• pp.9-15
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• 2010

ADS-B(Automatic Dependent Surveillance-Broadcast) has been recognized as a key component of Surveillance and ATM in CNS/ATM System. In addition to providing surveillance for air traffic control(ATC), ADS-B also supports airborne applications such as enhanced traffic situational awareness through the display of other aircraft to pilots and flight crew. It provides the real-time and same air traffic information to pilots in the aircraft cockpit, air traffic controllers in tower and surface vehicles on the ground at the same time. Aircraft Cockpit Display Unit will display the given information precisely and accurately. This paper describes progress in the development of a Cockpit Display with ADS-B data that enable pilots to acquire, verify and maintain pre-defined spacing intervals from other aircraft for general aviation and small regional aircraft. The designed display provides analogous information in the form of traffic position, range, and ground speed, etc.

• Journal of Communications and Networks
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• v.12 no.4
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• pp.358-365
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• 2010

We develop a low complexity cooperative diversity protocol for low energy adaptive clustering hierarchy (LEACH) based wireless sensor networks. A cross layer approach is used to obtain spatial diversity in the physical layer. In this paper, a simple modification in clustering algorithm of the LEACH protocol is proposed to exploit virtual multiple-input multiple-output (MIMO) based user cooperation. In lieu of selecting a single cluster-head at network layer, we proposed M cluster-heads in each cluster to obtain a diversity order of M in long distance communication. Due to the broadcast nature of wireless transmission, cluster-heads are able to receive data from sensor nodes at the same time. This fact ensures the synchronization required to implement a virtual MIMO based space time block code (STBC) in cluster-head to sink node transmission. An analytical method to evaluate the energy consumption based on BER curve is presented. Analysis and simulation results show that proposed cooperative LEACH protocol can save a huge amount of energy over LEACH protocol with same data rate, bit error rate, delay and bandwidth requirements. Moreover, this proposal can achieve higher order diversity with improved spectral efficiency compared to other virtual MIMO based protocols.

• Journal of Broadcast Engineering
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• v.12 no.4
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• pp.373-376
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• 2007

Recently, research on the enhancement of the conventional VSB scheme for DTV signal transmission have been done. Not to affect on the performance of the widely spread conventional receivers and at the same time be able to receive the enhanced stream. there have been efforts to enhance the coding scheme which is backward compatible with the conventional method. The conventional schemes proposed so far is based on the idea of combining a new trellis encoder with the standard 8-VSB trellis encoder. In this paper, we Propose serial concatenated turbo TCM scheme which combines two trellis encoder with the interleaver between them. We compare the performance of the proposed scheme and the existing scheme through computer simulation.

• Journal of Broadcast Engineering
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• v.15 no.2
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• pp.217-223
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• 2010

In this paper, an interchannel interference (ICI) cancellation method is proposed for multiple frequency offsets in orthogonal frequency division multiplexing (OFDM) systems. When several same signals are received from different transmitters simultaneously, multiple frequency offsets may occur at the receiver because of the frequency difference of the oscillators of the two transmitters and the receiver. This causes degradation of system performance because OFDM systems are very sensitive to the frequency offsets. In this paper, we propose a method to eliminate the effect of the multiple frequency offsets for OFDM systems. The method is accomplished in two steps: compensation of the frequency offset in the time domain and subsequent cancellation of the ICI in the frequency domain. Through computer simulations, we verify the effectiveness of the proposed ICI cancellation method.

• Journal of Broadcast Engineering
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• v.8 no.3
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• pp.297-305
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• 2003

In this paper, we propose a wavelet based fast motion estimation algorithm for video sequence encoding with very low bit-rate. By using one of properties oi wavelet transform, multi-resolution analysis(MRA) property and spatial Interpolation of an image, we are able to reduce both prediction error and computational complexity at the same time. Especially, by defining a significant block(SB) based on the differential information of wavelet coefficients between successive frames, the proposed algorithm makes up a defect of multi-resolution motion estimation(MRME) algorithm of increasing the number of motion vectors. As experimental results. we can reduce the computational load up to 70% but also improve PSNR up to about 0.1 ∼ 1.2 dB comparing with the MRME algorithm.

• Korean journal of communication and information
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• v.84
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• pp.7-27
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• 2017

This study explores the possibility of maximizing locality through synergy between local terrestrial broadcasters and cable local channels. To this end, it examines the significance of the concept of locality in the changing environment represented by the 4th Industrial Revolution. It also analyzes the existing situation of broadcasting locality and the terrain of existing studies concerning cable local channels. Based on the reviews, the study searches for the connection points between local terrestrial and cable channels, which are still heterogeneous operators. The difference in the size of broadcast region and the programming time constitutes the optimum condition. As a result of this, the study discusses the issue of appropriateness and feasibility of bundling the local terrestrial and pay-TV channels in the same legal system. By doing so, it reveals the biggest obstacle in institutionalizing the cable channel into the public category is the emotional rejection towards cable TV. In order to overcome this problem, the study suggests to abolish both the current policy guideline characterized as the same service, same regulation principle and the abolition of local business right of cable TV. It also proposes to allow news commentary function of cable local channels and strengthen cable TV's own capabilities.

• Journal of Broadcast Engineering
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• v.13 no.6
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• pp.804-816
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• 2008

In this paper, we propose an adaptive rate control in frame-level for real-time H.264/AVC. For given QP, bits according to video characteristics, and current frame is close correlation between the adjacent frames. Using the statistical characteristic, we obtain change of occurrence bit about QP to apply the bit amount by QP from the video characteristic and applied in the estimated bit amount of the current frame. In addition, we use weight with QP and occurrence bit amount that is statistical information of encoded previous frames. Simulation results show that the proposed rate control scheme achieves time saving of more than 99% over JM 12.1 rate control algorithm. Nevertheless, PSNR and bit rate were almost same as the performances of JM.

• Journal of Positioning, Navigation, and Timing
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• v.8 no.4
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• pp.209-214
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• 2019

Precise point positioning (PPP) requires precise orbit and clock products. International GNSS service (IGS) real-time service (RTS) data can be used in real-time for PPP, but it may not be possible to receive these corrections for a short time due to internet or hardware failure. In addition, the time required for IGS to combine RTS data from each analysis center results in a delay of about 30 seconds for the RTS data. Short-term orbit prediction can be possible because it includes the rate of correction, but the clock correction only provides bias. Thus, a short-term prediction model is needed to preidict RTS clock corrections. In this paper, we used a long short-term memory (LSTM) network to predict RTS clock correction for three minutes. The prediction accuracy of the LSTM was compared with that of the polynomial model. After applying the predicted clock corrections to the broadcast ephemeris, we performed PPP and analyzed the positioning accuracy. The LSTM network predicted the clock correction within 2 cm error, and the PPP accuracy is almost the same as received RTS data.