• Title/Summary/Keyword: 동작벡터

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Interactive VFX System for TV Virtual Studio (TV 가상 스튜디오용 인터랙티브 VFX 시스템)

  • Byun, Hae Won
    • Journal of the Korea Computer Graphics Society
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    • v.21 no.5
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    • pp.21-27
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    • 2015
  • In this paper, we presents visual effect(water, fire, smoke) simulation and interaction system for TV virtual studio. TV virtual studio seamlessly synthesizes CG background and a live performer standing on a TV green studio. Previous virtual studios focus on the registration of CG background and a performer in real world. In contrast to the previous systems, we can afford to make new types of TV scenes more easily by simulating interactive visual effects according to a performer. This requires the extraction of the performer motion to be transformed 3D vector field and simulate fluids by applying the vector field to Navier Stokes equation. To add realism to water VFX simulation and interaction, we also simulate the dynamic behavior of splashing fluids on the water surface. To provide real-time recording of TV programs, real-time VFX simulation and interaction is presented through a GPU programming. Experimental results show this system can be used practically for realizing water, fire, smoke VFX simulation and the dynamic behavior simulation of fish flocks inside ocean.

Implementation of Adaptive Multi Rate (AMR) Vocoder for the Asynchronous IMT-2000 Mobile ASIC (IMT-2000 비동기식 단말기용 ASIC을 위한 적응형 다중 비트율 (AMR) 보코더의 구현)

  • 변경진;최민석;한민수;김경수
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.1
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    • pp.56-61
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    • 2001
  • This paper presents the real-time implementation of an AMR (Adaptive Multi Rate) vocoder which is included in the asynchronous International Mobile Telecommunication (IMT)-2000 mobile ASIC. The implemented AMR vocoder is a multi-rate coder with 8 modes operating at bit rates from 12.2kbps down to 4.75kbps. Not only the encoder and the decoder as basic functions of the vocoder are implemented, but VAD (Voice Activity Detection), SCR (Source Controlled Rate) operation and frame structuring blocks for the system interface are also implemented in this vocoder. The DSP for AMR vocoder implementation is a 16bit fixed-point DSP which is based on the TeakLite core and consists of memory block, serial interface block, register files for the parallel interface with CPU, and interrupt control logic. Through the implementation, we reduce the maximum operating complexity to 24MIPS by efficiently managing the memory structure. The AMR vocoder is verified throughout all the test vectors provided by 3GPP, and stable operation in the real-time testing board is also proved.

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A Study of SPA Vulnerability on 8-bit Implementation of Ring-LWE Cryptosystem (8 비트 구현 Ring-LWE 암호시스템의 SPA 취약점 연구)

  • Park, Aesun;Won, Yoo-Seung;Han, Dong-Guk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.3
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    • pp.439-448
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    • 2017
  • It is news from nowhere that post-quantum cryptography has side-channel analysis vulnerability. Side-channel analysis attack method and countermeasures for code-based McEliece cryptosystem and lattice-based NTRU cryptosystem have been investigated. Unfortunately, the investigation of the ring-LWE cryptosystem in terms of side-channel analysis is as yet insufficient. In this paper, we propose a chosen ciphertext simple power analysis attack that can be applied when ring-LWE cryptography operates on 8-bit devices. Our proposed attack can recover the key only with [$log_2q$] traces. q is a parameter related to the security level. It is used 7681 and 12289 to match the common 128 and 256-bit security levels, respectively. We identify the vulnerability through experiment that can reveal the secret key in modular add while the ring-LWE decryption performed on real 8-bit devices. We also discuss the attack that uses a similarity measurement method for two vectors to reduce attack time.

Motion Generation of a Single Rigid Body Character Using Deep Reinforcement Learning (심층 강화 학습을 활용한 단일 강체 캐릭터의 모션 생성)

  • Ahn, Jewon;Gu, Taehong;Kwon, Taesoo
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.3
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    • pp.13-23
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    • 2021
  • In this paper, we proposed a framework that generates the trajectory of a single rigid body based on its COM configuration and contact pose. Because we use a smaller input dimension than when we use a full body state, we can improve the learning time for reinforcement learning. Even with a 68% reduction in learning time (approximately two hours), the character trained by our network is more robust to external perturbations tolerating an external force of 1500 N which is about 7.5 times larger than the maximum magnitude from a previous approach. For this framework, we use centroidal dynamics to calculate the next configuration of the COM, and use reinforcement learning for obtaining a policy that gives us parameters for controlling the contact positions and forces.

Performance of Magnitude Sum Correlation and Vector Sum Correlation Methods for Robust Frame Synchronization Under Low Signal-to-Noise Ratios (낮은 신호 대 잡음 비에서 강건한 프레임 동기를 위한 크기 합 상관 및 벡터 합 상관 방식의 성능 평가)

  • Lee, Dong-Uk;Kim, Sang-Tae;Sung, Won-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.7
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    • pp.32-37
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    • 2008
  • Satellite communication systems including the DVB-S2 (Digital Video Broadcasting - Satellite Version 2) system require operations under low signal-to-noise ratio (SNR) and large frequency offset values, and the initial frame synchronization process necessitates a robust correlation method. While a variety of conventional correlation structures exist for the initial synchronization, each method has different characteristics and performance in different channel environments. In this paper, we propose new correlation methods which exhibit enhanced performance in low SNR and large frequency offsets, and analyze their performance. The proposed methods use the magnitude sum and vector sum of extended differential correlation values, to maximize the correlation between the received signal and the synchronization sequence by using the spanned differential correlation result. The magnitude sum correlation method has better performance compared to conventional methods including the approximated ML (Maximum likelihood) method for SNR values below 4 dB with or without frequency offsets. The vector sum correlation method has improved performance over the magnitude sum method for channels with relatively small frequency offsets.

Test bed implementation and the indoor antenna algorithms fit for the indoor channel characteristic (옥내 무선 채널에 적합한 옥내 안테나 알고리즘과 검증시스템 구현)

  • Lee Yong up;Seo Young jun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.4C
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    • pp.207-214
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    • 2005
  • In the indoor wireless communication, it is considered the indoor wireless system architecture of single input multiple output (SIMO) that used with multiple antenna in order to cope with the indoor fading characteristic due to severe angler spread. We propose the mean steering vector technique as a method to enhance the system Performance, implement the test bed system composed of a PC and the algorithms of the wireless system, and analysis the performance of those algorithms. In addition, the overall operation scenario, overall architecture, and the execution time of the algorithms, of the test bed for the indoor wireless system are presented.

Short Range Target Tracking Based on Data Fusion Method Using Asynchronous Dissimilar Sensors (비동기 이종 센서를 이용한 데이터 융합기반 근거리 표적 추적기법)

  • Lee, Eui-Hyuk
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.335-343
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    • 2012
  • This paper presents an target tracking algorithm for fusion of radar and infrared(IR) sensor measurement data. Generally, fusion methods with Kalman filter assume that processing data obtained by radar and IR sensor are synchronized. It has much limitation to apply the fusion methods to real systems. A key point which is taken into account in the proposed algorithm is the fact that two asynchronous dissimilar data are fused by compensating the time difference of the measurements using radar's ranges and track state vectors. The proposed fusion algorithm in the paper is evaluated via a computer simulation with the existing track fusion and measurement fusion methods.

Camera Extrinsic Parameter Estimation using 2D Homography and LM Method based on PPIV Recognition (PPIV 인식기반 2D 호모그래피와 LM방법을 이용한 카메라 외부인수 산출)

  • Cha Jeong-Hee;Jeon Young-Min
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.2 s.308
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    • pp.11-19
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    • 2006
  • In this paper, we propose a method to estimate camera extrinsic parameter based on projective and permutation invariance point features. Because feature informations in previous research is variant to c.:men viewpoint, extraction of correspondent point is difficult. Therefore, in this paper, we propose the extracting method of invariant point features, and new matching method using similarity evaluation function and Graham search method for reducing time complexity and finding correspondent points accurately. In the calculation of camera extrinsic parameter stage, we also propose two-stage motion parameter estimation method for enhancing convergent degree of LM algorithm. In the experiment, we compare and analyse the proposed method with existing method by using various indoor images to demonstrate the superiority of the proposed algorithms.

Path Planning and Obstacle Avoidance for Mobile Robot with Vision System Using Fuzzy Rules (비전과 퍼지 규칙을 이용한 이동로봇의 경로계획과 장애물회피)

  • 배봉규;채양범;이원창;강근택
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.6
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    • pp.470-476
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    • 2001
  • This paper presents a new algorithm of path planning and obstacle avoidance for autonomous mobile robots with vision system that is working in unknown environments. Distance variation technique is used in path planning to approach the target and avoid obstacles in work space as well . In this approach, the Sobel operator is employed to detect edges of obstacles and the distances between the mobile robot and the obstacles are measured. Fuzzy rules are used for trajectory planning and obstacle avoidance to improve the autonomy of mobile robots. It is shown by computer simulation that the proposed algorithm is superior to the vector field approach which sometimes traps the mobile robot into some local obstacles. An autonomous mobile robot with single vision is developed for experiments. We also show that the developed mobile robot with the proposed algorithm is navigating very well in complex unknown environments.

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Performance Comparison of Single-Phase PLL Algorithms Using Virtual 2-Phase Strategy (가상 2상 방식을 사용한 단상 PLL 알고리즘의 성능 비교)

  • Lee, Yong-Seok;Lee, Dong-Min;Ji, Jun-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.2
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    • pp.219-225
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    • 2007
  • The frequency and phase angle of utility voltage represent very important information fur applications such as AC/DC converters and Uninterruptible Power Supplies(UPS). In a three-phase system, the utility voltage information can be easily obtained by using a utility voltage vector. However, in the case of a single-phase system. the utility voltage information is much harder to obtain. This paper presents a comparative study of single-phase PLL algorithms using virtual 2-phase strategy. Simulation and experimental results, including operation of the PLL structures introduced in reference papers, are presented to allow a performance comparison of the PLL algorithms.

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