PFMIPv6 기반의 수직 핸드오버 방법
    1.
    发明公开
    PFMIPv6 기반의 수직 핸드오버 방법 无效
    基于移动IPV6快速切换的垂直切换方法

    公开(公告)号:KR1020130037047A

    公开(公告)日:2013-04-15

    申请号:KR1020110101367

    申请日:2011-10-05

    CPC classification number: H04W36/14 H04L29/06 H04W36/18 H04W88/08

    Abstract: PURPOSE: A PFMIPv6 based vertical handover method is provided to continuously offer a multimedia service by connecting various APs(Access Point) through a terminal including a multi-wireless interface. CONSTITUTION: When a report message is transmitted by an MIHF(Media Independent Handover Function) of a corresponding terminal, the MIHF transmits a network layer message which notifies the initialization of handover to a previous MAG(Mobile Access Gateway). When the previous MAG receives the layer message, the previous MAG previously transmits information which is the same as an MN-ID(Mobile Node-Identification) and LMAA to a new MAG. After an IP(Internet Protocol) address is set, the new MAG transmits a PBU(Proxy Binding Update) message and receives PBA(Proxy Binding Acknowledgement).

    Abstract translation: 目的:提供基于PFMIPv6的垂直切换方法,通过包括多无线接口的终端连接各种AP(接入点)来连续提供多媒体业务。 构成:当通过相应终端的MIHF(媒体独立切换功能)发送报告消息时,MIHF将通知初始化切换的网络层消息发送到先前的MAG(移动接入网关)。 当先前的MAG接收到层消息时,先前的MAG先前将与MN-ID(移动节点识别)和LMAA相同的信息发送到新的MAG。 在设置IP(因特网协议)地址之后,新的MAG发送PBU(代理绑定更新)消息并接收PBA(代理绑定确认)。

    해양 음향을 위한 마스크기반 다채널 음원 분리를 결합한 음향모델 보상방법
    2.
    发明公开
    해양 음향을 위한 마스크기반 다채널 음원 분리를 결합한 음향모델 보상방법 无效
    用于海洋声音识别的基于掩蔽的多通道声音,组合分离研究补偿的声学模型

    公开(公告)号:KR1020130037041A

    公开(公告)日:2013-04-15

    申请号:KR1020110101360

    申请日:2011-10-05

    CPC classification number: G10L15/14 G10L19/038 G10L21/02

    Abstract: PURPOSE: A sound model compensation method which combines mask based multi-channel sound separation for marine sound is provided to analyze noise and voice properties, thereby improving performance of voice recognition. CONSTITUTION: A noise model and a weighted value necessary for sound model adaptation are obtained by using an HMM based mask. Mask information is estimated from a binaural signal. Noise is decreased by using the mask. After MMSS(Mask-based Multi-channel Source Separation) is performed, a 13th MFCC(Mel Frequency Cepstral Coefficient) is extracted from a voice signal.

    Abstract translation: 目的:提供一种组合基于屏蔽的多声道声音分离用于海洋声音的声音模型补偿方法,用于分析噪声和声音特性,从而提高语音识别的性能。 构成:通过使用基于HMM的掩模获得声音模型适应所需的噪声模型和加权值。 屏蔽信息由双耳信号估计。 使用面罩降低噪音。 在执行MMSS(基于掩码的多信道源分离)之后,从语音信号中提取第13个MFCC(Mel频率倒谱系数)。

    해양 텔레매틱스 환경에서 동일 주파수 무선중계기에서의 간섭제거 방법
    3.
    发明公开
    해양 텔레매틱스 환경에서 동일 주파수 무선중계기에서의 간섭제거 방법 无效
    在RF频率范围内使用自适应数字滤波器消除干扰的方法

    公开(公告)号:KR1020130047189A

    公开(公告)日:2013-05-08

    申请号:KR1020110112063

    申请日:2011-10-31

    CPC classification number: H04B7/15585 H04L25/0204 H04L25/03305

    Abstract: PURPOSE: An interference elimination method of a frequency wireless repeater in a marine telematics environment is provided to control a step size of an LMS(Least Mean Square) filter by estimating a channel state of a feedback signal. CONSTITUTION: A channel state of a feedback signal is estimated based on an output signal of an LMS filter. The feedback signal is eliminated by controlling the step size of the LMS filter based on the estimated channel state of the feedback signal. When the power change of the output signal is rapidly changed as time passed, the channel state is determined as fast fading. When the power change of the output signal is slowly changed as time passed, the channel state is determined as slow fading.

    Abstract translation: 目的:提供海上远程信息处理环境中的频率无线中继器的干扰消除方法,以通过估计反馈信号的信道状态来控制LMS(最小均方)滤波器的步长。 构成:基于LMS滤波器的输出信号来估计反馈信号的通道状态。 通过基于反馈信号的估计信道状态来控制LMS滤波器的步长来消除反馈信号。 当输出信号的功率变化随着时间的推移而迅速变化时,通道状态被确定为快速衰落。 当输出信号的功率变化随着时间的推移而缓慢变化时,通道状态被确定为慢衰落。

    OFDMA 부채널을 활용한 선박-육상 간 데이터 통신 방법
    4.
    发明公开
    OFDMA 부채널을 활용한 선박-육상 간 데이터 통신 방법 无效
    使用正交频分多址访问子信道进行数据传输的数据传输系统

    公开(公告)号:KR1020130043959A

    公开(公告)日:2013-05-02

    申请号:KR1020110108172

    申请日:2011-10-21

    CPC classification number: H04W72/08 H04J11/00

    Abstract: PURPOSE: A data communication method between ship and land by utilizing an OFDMA sub-channel is provided to overcome a limited frequency resource in the environment where the number of ships increases and to efficiently avoid collision of important data of ships. CONSTITUTION: If a navigation identifier receives a plurality of maritime communication data carried in an OFDMA sub-channel of a plurality of group As, the navigation identifier confirms the existence of a repeatedly used OFDMA sub-channel in the OFDMA sub-channels of a plurality of the group As. If there is an OFDMA sub-channel with collision, the navigation identifier modulates maritime communication data carried in the collided OFDMA sub-channel with an OFDMA sub-channel in a group B and transmits the data to a land integration base station. [Reference numerals] (AA) OFDMA sub-channel; (BB) Sub-channel group A; (CC) Sub-channel group B; (DD) OFDMA sub-channel selector

    Abstract translation: 目的:提供利用OFDMA子信道的船舶与陆地之间的数据通信方式,以克服船舶数量增加的环境中有限的频率资源,有效避免船舶重要数据的碰撞。 规定:如果导航标识符接收到多个组As的OFDMA子信道中携带的多个海事通信数据,则导航标识符确认在多个OFDMA子信道中存在重复使用的OFDMA子信道 的组As。 如果存在具有冲突的OFDMA子信道,则导航标识符利用组B中的OFDMA子信道来调制在冲突的OFDMA子信道中携带的海上通信数据,并将该数据发送到陆地集成基站。 (标号)(AA)OFDMA子信道; (BB)子信道组A; (CC)子信道组B; (DD)OFDMA子信道选择器

    해양/음성 통신에서 변별적 가중치 학습기반 보이스 피싱 검출 방법
    5.
    发明公开
    해양/음성 통신에서 변별적 가중치 학습기반 보이스 피싱 검출 방법 无效
    基于海洋/语音通信中增加价值学习的语音检测方法

    公开(公告)号:KR1020130037040A

    公开(公告)日:2013-04-15

    申请号:KR1020110101359

    申请日:2011-10-05

    Abstract: PURPOSE: A voice phishing detection method based on distinctive weighted value learning in marine/voice communication is provided to detect voice phishing without a separate feature vector extraction process by using only a parameter extracted in a process which changes a signal into a voice signal. CONSTITUTION: An SMV(Selectable Mode Vocoder) decoder comprises a new feature vector by using a feature vector which is extracted in a process which changes an LSF(Line Spectral Frequency) into an LPC(Linear Prediction Coding); and a feature vector extracted in a process which changes the obtained LPC into a voice signal. The SMV decoder calculates likelihood for the transmitted bitstream by using a GMM(Gaussian Mixture Model) and selects a flag for a value with the maximum likelihood.

    Abstract translation: 目的:提供一种基于海洋/语音通信中特色加权值学习的语音网络钓鱼检测方法,通过仅使用将信号改变为语音信号的过程中提取的参数,无需单独的特征向量提取过程来检测语音网络钓鱼。 构成:SMV(可选模式声码器)解码器通过使用在将LSF(线谱频率)改变为LPC(线性预测编码)的处理中提取的特征向量来包括新特征向量; 以及在将所获得的LPC改变为语音信号的处理中提取的特征向量。 SMV解码器通过使用GMM(高斯混合模型)来计算所发送的比特流的可能性,并且选择具有最大似然度的值的标志。

    베이스 노드의 이동성이 높은 센서 네트워크에서 지역 탐색 알고리즘을 이용한 에너지 효율적인 신장 트리 기반 라우팅 방법
    6.
    发明公开
    베이스 노드의 이동성이 높은 센서 네트워크에서 지역 탐색 알고리즘을 이용한 에너지 효율적인 신장 트리 기반 라우팅 방법 无效
    使用本地搜索算法在高速移动台站的无线传感器网络中基于传播树的能量有效路由

    公开(公告)号:KR1020120044704A

    公开(公告)日:2012-05-08

    申请号:KR1020100106144

    申请日:2010-10-28

    CPC classification number: Y02D30/20

    Abstract: PURPOSE: A spanning tree based routing method using a local searching algorithm in a high mobility sensor network is provided to improve network utilization by providing an effective local searching algorithm. CONSTITUTION: An MST(Minimal Spanning Tree) is used as a start point of local searching(S210). A proximity solution is created(S220). Numbers of wiener are calculated for the proximity solution(S230). A tree including the smallest numbers of the wiener in the proximity solution are searched(S240). The numbers of the wiener is not changed, the tree which is acquired at the last is determined as the solution.

    Abstract translation: 目的:提供一种在高移动性传感器网络中使用局部搜索算法的基于生成树的路由方法,通过提供有效的局部搜索算法来提高网络利用率。 构成:使用MST(最小生成树)作为本地搜索的起始点(S210)。 创建邻近解决方案(S220)。 计算邻近解的数量(S230)。 搜索包括接近解中的最小维数的树(S240)。 维纳人的数量没有改变,最后得到的树被确定为解。

    스펙트럼 변이 기반의 음성 존재 불확실성 추정 방법
    7.
    发明公开
    스펙트럼 변이 기반의 음성 존재 불확실성 추정 방법 无效
    基于频谱梯度的语音存在不确定性估计技术

    公开(公告)号:KR1020150019831A

    公开(公告)日:2015-02-25

    申请号:KR1020130097199

    申请日:2013-08-16

    CPC classification number: G10L25/78

    Abstract: 본 발명은 현재 프레임 직전의 두 프레임에서의 음성 존재 여부 및 음성 스펙트럼 변이 값을 확인하는 단계, 상기 음성 존재 여부의 결과와 상기 음성 스펙트럼 변이 값을 고려하여 음성 부재와 존재에 대한 연역적(a priori) 확률값의 비(q)의 값을 능동적으로 설정하는 단계, 및 능동적으로 설정된 상기 연역적 확률값의 비를 이용하여 음성 부재 확률을 구하는 단계를 포함하는 스펙트럼 변이 기반의 음성 존재 불확실성 추정 방법에 관한 것이다.

    Abstract translation: 本发明涉及一种基于频谱梯度的语音存在不确定性估计方法,包括以下步骤:在当前帧之前的两帧中检查语音频谱梯度和速度存在; 考虑到语音频谱梯度和语音存在的结果,积极地设定关于语音不存在和存在的先验概率值的比值(q)的值; 并使用主动设置的先验概率值的比率来产生语音缺失概率。

    해양 음성 통신에서 음성 코딩 파라미터 기반의 효율적인 음성 신호 강화 방법
    8.
    发明公开
    해양 음성 통신에서 음성 코딩 파라미터 기반의 효율적인 음성 신호 강화 방법 无效
    一种基于海洋语音通信语音编码参数的有效语音信号综合方法

    公开(公告)号:KR1020130034915A

    公开(公告)日:2013-04-08

    申请号:KR1020110099080

    申请日:2011-09-29

    Abstract: PURPOSE: A method for efficiently reinforcing a voice signal based on a voice coding parameter in marine voice communications is provided to reinforce excitation signals among a bitstream parameter based on a voice encoding device in root environment, thereby supplying excellent performance. CONSTITUTION: An excitation signal gain ratio estimation unit(140) estimates an excitation signal gain ratio by using an excitation signal gain of background noises estimated by an excitation signal gain estimation block(130), and a decoding result which applies a fixed codebook gain by a fixed codebook vector decoding block(120). An excitation signal generation unit(150) generates an excitation signal by using a decoding result which applies an adaptive codebook gain by an excitation signal gain ratio estimation result and an adaptive codebook vector decoding block(110). [Reference numerals] (110,120) Adaptive codebook vector decoding; (130) Excitation signal gain estimation of background noise; (140) Excitation signal gain ratio estimation; (150) Excitation signal generation; (160) Linear prediction synthesis filter; (170) Postprocessor; (AA,BB) Input bit stream; (CC) Adaptive codebook gain application; (DD) Fixed codebook gain application; (EE) Enhanced voice signal; (FF) Near-end background noise estimation;

    Abstract translation: 目的:提供一种在海洋语音通信中基于语音编码参数有效加强语音信号的方法,以加强基于根环境中的语音编码装置的比特流参数中的激励信号,从而提供出色的性能。 激励信号增益比估计单元(140)通过使用由激励信号增益估计块(130)估计的背景噪声的激励信号增益来估计激励信号增益比,以及解码结果,其通过 固定码本向量解码块(120)。 励磁信号生成单元(150)通过使用通过激励信号增益比估计结果应用自适应码本增益的解码结果和自适应码本矢量解码块(110)来产生激励信号。 (110,120)自适应码本矢量解码; (130)背景噪声的激励信号增益估计; (140)励磁信号增益比估计; (150)励磁信号发生; (160)线性预测合成滤波器; (170)后处理; (AA,BB)输入位流; (CC)自适应码本增益应用; (DD)固定码本增益申请; (EE)增强语音信号; (FF)近端背景噪声估计;

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