• Title/Summary/Keyword: next-generation method

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An SAD-Based Selective Bi-prediction Method for Fast Motion Estimation in High Efficiency Video Coding

  • Kim, Jongho;Jun, DongSan;Jeong, Seyoon;Cho, Sukhee;Choi, Jin Soo;Kim, Jinwoong;Ahn, Chieteuk
    • ETRI Journal
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    • v.34 no.5
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    • pp.753-758
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    • 2012
  • As the next-generation video coding standard, High Efficiency Video Coding (HEVC) has adopted advanced coding tools despite the increase in computational complexity. In this paper, we propose a selective bi-prediction method to reduce the encoding complexity of HEVC. The proposed method evaluates the statistical property of the sum of absolute differences in the motion estimation process and determines whether bi-prediction is performed. A performance comparison of the complexity reduction is provided to show the effectiveness of the proposed method compared to the HEVC test model version 4.0. On average, 50% of the bi-prediction time can be reduced by the proposed method, while maintaining a negligible bit increment and a minimal loss of image quality.

Novel Beamforming and Scheduling Method for Interference Mitigation at Cell Edge (셀 경계 지역 간섭 완화를 위한 효율적 빔포밍 및 스케쥴링 방법)

  • Kim, Kyung Hoon;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.129-133
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    • 2012
  • Coordinated multi-point transmission (CoMP) is a candidate technique for next generation cellular communications systems. One of the primary elements discussed in LTE-Advanced technology is CoMP, which can improve cell edge user data rate as well as spectral efficiency due to multiple input multiple output - orthogonal frequency division multiplex (MIMO-OFDM). We consider a system with multiple cells in which base stations coordinate with each other by sharing user channel state information (CSI), which mitigates inter cell interference (ICI), especially for users located at the cell edge. We introduce a new user scheduling method of ICI cancellation and the loss reduction of effective channel gain during the beamforming process, the proposed method improves the system sum rate, when compared to the conventional method by an average of 0.55bps/Hz in different number of total users per cell. It also outperforms the conventional method by approximately 0.38bps/Hz using different SNRs.

Analysis, Modeling and Compensation of Dynamic Imbalance Error for a Magnetically Suspended Sensitive Gyroscope

  • Xin, Chaojun;Cai, Yuanwen;Ren, Yuan;Fan, Yahong;Xu, Guofeng;Lei, Xu
    • Journal of Magnetics
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    • v.21 no.4
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    • pp.529-536
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    • 2016
  • Magnetically suspended sensitive gyroscopes (MSSGs) provide an interesting alternative for achieving precious attitude angular measurement. To effectively reduce the measurement error caused by dynamic imbalance, this paper proposes a novel compensation method based on analysis and modeling of the error for a MSSG. Firstly, the angular velocity measurement principle of the MSSG is described. Then the analytical model of dynamic imbalance error has been established by solving the complex coefficient differential dynamic equations of the rotor. The generation mechanism and changing regularity of the dynamic imbalance error have been revealed. Next, a compensation method is designed to compensate the dynamic imbalance error and improve the measurement accuracy of the MSSG. The common issues caused by dynamic imbalance can be effectively resolved by the proposed method in gyroscopes with a levitating rotor. Comparative simulation results before and after compensation have verified the effectiveness and superiority of the proposed compensation method.

A Restoration Method for Improving Fault Recovery in MPLS Networks Routing Protocol (패킷망에서 NGN을 위한 라우팅 프로토콜MPLS망에서 장애 개선을 위한 복구 기법)

  • In Chi-Hyung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.11B
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    • pp.956-966
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    • 2004
  • Nowadays, NGN(Next Generation Network) is evolving into network with packet based QoS.\ulcorner This paper presents the recovery method as a selecting way of more efficient path in MPLS network that reduces the service interruption time. In order to increase the efficiency of usage of recovering resource which is one of major functions of disorder recovering, it opens the state information of each Node both to fault detector and bandwidth broker so that it reduces message transmission time for recovery when functional disorder occurs. in addition, by effective management and adjustment of required bandwidth of entire network depending on the changes of traffic load, it improves the efficiency of bandwidth usage. and in MPLS network supporting priority selection function, it allocates domains depending on the traffic relating to priority order to the entire network so that\ulcorner it efficiently allocates proper resources to the restoring process between the entry and the end for the traffic of high priority and for low priority traffic, it restores path oかy inside disordered domain. by doing this, it reduces resetting time and unnecessary massage transmission.

QoS-Aware Bounded Flooding RWA Algorithm in the Next Generation Optical Internet based on DWDM Networks (DWDM기반의 차세대 광인터넷에서 QoS 기반의 제한적 플러딩 RWA 알고리즘에 관한 연구)

  • Kim Yong-Seong;Lee Jae-Dong;Hwang Jin-Ho;Woo Chong-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.8 s.350
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    • pp.1-14
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    • 2006
  • Multi-constraint QoS routing has been seen as crucial network property in the next generation optical Internet based on DWDM Networks. This paper proposes a new QoS routing algorithm based on flooding method, called bounded flooding routing (BFR) algorithm which can meet multi-constraint QoS requirements. Primarily, the BFR algorithm tries to reduce network overhead by accomplishing bounded-flooding to meet QoS requirements, and improve blocking probability and wavelength utilization. Also, as one effort to improve routing performance, we introduce a new concept, ripple count, which does not need any link-state information and computational process. For extensive analysis and simulation study, as a critical concern, in DWDM-based networks we deploy limited wavelength conversion capability within DWDM nodes. And the simulation results demonstrate that the BFR algorithm is superior to other predominant routing algorithms (both original flooding method and source-directed methods) in terms of blocking probability, wavelength channels required and overhead.

Maximum Torque Operation of IPMSM Drives for the Next Generation High Speed Railway System (차세대 고속전철에 적용되는 IPMSM 구동 시스템의 최대 토크제어)

  • Jin, Kang-Hwan;Kim, Sung-Je;Yi, Du-Hee;Kwon, Soon-Hwan;Kim, Yoon-Ho
    • Journal of the Korean Society for Railway
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    • v.13 no.5
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    • pp.493-499
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    • 2010
  • The next generation domestic high speed railway system is a power dispersed type and uses vector control method for motor speed control. Nowadays, inverter driven induction motor system is widely used. However, recently PMSM drives are deeply considered as a alternative candidate instead of an induction motor driven system due to their advantages in efficiency, noise reduction and maintenance. In this paper, the maximum torque control approach is presented for the IPMSM drives with reluctance torque. The applied control method uses maximum torque control per ampere technique. Simulation programs based on Matlab/Simulink are developed. Finally the designed system is verified by simulation and their characteristics are analyzed by the simulation results.

Real-time Identification of Traffic Light and Road Sign for the Next Generation Video-Based Navigation System (차세대 실감 내비게이션을 위한 실시간 신호등 및 표지판 객체 인식)

  • Kim, Yong-Kwon;Lee, Ki-Sung;Cho, Seong-Ik;Park, Jeong-Ho;Choi, Kyoung-Ho
    • Journal of Korea Spatial Information System Society
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    • v.10 no.2
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    • pp.13-24
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    • 2008
  • A next generation video based car navigation is researched to supplement the drawbacks of existed 2D based navigation and to provide the various services for safety driving. The components of this navigation system could be a load object database, identification module for load lines, and crossroad identification module, etc. In this paper, we proposed the traffic lights and road sign recognition method which can be effectively exploited for crossroad recognition in video-based car navigation systems. The method uses object color information and other spatial features in the video image. The results show average 90% recognition rate from 30m to 60m distance for traffic lights and 97% at 40-90m distance for load sign. The algorithm also achieves 46msec/frame processing time which also indicates the appropriateness of the algorithm in real-time processing.

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An Efficient Dynamic Bandwidth Allocation Algorithm for VoDSL Services (VoDSL 서비스를 위한 효율적인 동적 대역폭 할당 알고리즘)

  • Kim, Hoon;Park, Jong-Dae;Nam, Sang-Sig;Park, Kwang-Chae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.1C
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    • pp.48-58
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    • 2002
  • As internet traffic increases, the problem that it should be efficiently accepted in to the existing voice network in the pending problem importantly to the existing communication corporations. The feature of next generation exchange network is made up of the form of integration network that connect data traffic(internet service. Etc) with the existing voice network and it can be showed with very diverse aspects according to the constitution time of network or the characteristics of business. The progress strategy that develop the existing circuit based communication network into packet-based communication network can be divided into two in a large scale according to the application position These are VoDSL application method(Technology that packetize access network) and softswitch technology application method(after packetizing relay network, packetizing that into the access network). In this paper, we will deduce the desirable technology that can construct packet-based next generation exchange networks in the structure of the existing communication network environment. We will perform the research on a device to offer the necessary core technique VoSDL service with realistic resolutions primarily.

The End-to-end Performance Evaluation Method on Next Generation Network (NGN 환경에 적합한 단대단 성능평가 방법)

  • Nam, Chang-Sup;Kim, Hyung-Soo;Kim, Nam;Jeon, Hong-Beom
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.10B
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    • pp.857-865
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    • 2006
  • In order to test and evaluate the various functions and services of NGN would be promised, a specified methodology is needed and a development for the identification of testing object, configuration and test traffic are required. Simulation and analytical modeling methodshave used for IP performance testing, but further study issue still remains. This paper proposes new evaluation methodology to achieve an objective approach rather than a subjective and isolated, based on the real-field environment, for NGN network. For this purpose, background traffic pattern to interfere test traffic was specified and it was tested in actual NGN testbed with systems having NGN technology, such as per bandwidth and packet size. The results shows the suggested methodology is appropriate, comparing with parameters which are Delay, Jitter and Loss the current approach for the end-to-end performance evaluation on NGN.

Crowd Behavior Detection using Convolutional Neural Network (컨볼루션 뉴럴 네트워크를 이용한 군중 행동 감지)

  • Ullah, Waseem;Ullah, Fath U Min;Baik, Sung Wook;Lee, Mi Young
    • The Journal of Korean Institute of Next Generation Computing
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    • v.15 no.6
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    • pp.7-14
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    • 2019
  • The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.