公开(公告)号：KR1020130039156A

公开(公告)日：2013-04-19

申请号：KR1020110103645

申请日：2011-10-11

Applicant: 목포대학교산학협력단

Inventor： 이예훈 ,  김동호 ,  최승호 ,  이성로 ,  오일환 ,  양준철 ,  방종대 ,  김동진 ,  김원주

IPC: H04L1/06 ,  H04B7/04

CPC classification number: H04L1/0668 ,  H04B7/0413 ,  H04L1/22

Abstract: PURPOSE: An Alamouti STBC applying method for enhancing performance of an offshore wind power radio communication control system is provided to apply a MIMO Alamouti STBC(Space-Time Block Coding) to a radio communication based control system, thereby improving transmission quality and reliability of the control system. CONSTITUTION: An Alamouti STBC applying method comprises the steps of: building multiple antennas using the overlay network technology; applying MIMO Alamouti STBC for optimal communication of the multiple antennas. When a control system operates normally, the control system processes valid data by interworking an up line with nets of odd numbers and a down line with nets of even numbers. When failing in forming a wireless link of the up line to a radio device in the front car of a train or detecting an error, the control system reads data of the radio device in the tail car for processing the data as valid data.

Abstract translation: 目的：提供一种用于提高海上风电无线电通信控制系统性能的Alamouti STBC应用方法，以将MIMO Alamouti STBC（空时块编码）应用于基于无线电通信的控制系统，从而提高传输质​​量和可靠性 控制系统。 规定：Alamouti STBC应用方法包括以下步骤：使用覆盖网络技术构建多个天线; 应用MIMO Alamouti STBC来实现多个天线的最佳通信。 当控制系统正常运行时，控制系统通过与奇数网络的上行线路和偶数网络的下行线路互相处理有效数据。 当在上行线路的无线链路形成到列车的前车中的无线电设备或检测到错误时，控制系统读取尾巴中的无线电设备的数据，以将数据作为有效数据进行处理。

公开(公告)号：KR1020130037040A

公开(公告)日：2013-04-15

申请号：KR1020110101359

申请日：2011-10-05

Applicant: 목포대학교산학협력단

Inventor： 옥태성 ,  이성로 ,  정민아 ,  강일우 ,  임정수 ,  방종대 ,  장준혁 ,  김홍국

IPC: G10L19/00 ,  G10L15/22

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。

公开(公告)号：KR1020130127225A

公开(公告)日：2013-11-22

申请号：KR1020120050992

申请日：2012-05-14

Applicant: 목포대학교산학협력단

Inventor： 이성호 ,  박희만 ,  양준철 ,  김정욱 ,  방종대 ,  김동진 ,  정민아 ,  이성로

IPC: H04W24/00 ,  H04W84/20

CPC classification number: H04W88/18 ,  H04L41/06 ,  H04W24/04 ,  H04W84/20

Abstract: A debugging method for wireless sensor networks considering mobile sink nodes is disclosed. This method comprises a step of collecting value index to determine the cause of a bug from a sensor node and a sink node; a step of detecting the bug using the value index collected; a step of drawing the basic cause of the bug; and a step of showing the basic cause to a user. [Reference numerals] (AA) Sensor node 1;(BB) Sensor node n;(CC) Collect evaluation index values;(DD) Bug detection;(EE) Draw a basic cause;(FF) Notify to a user;(GG) Sink node evaluation index value;(HH) Sink node component;(II) Sink node;(JJ) User interface

Abstract translation: 公开了一种考虑移动接收节点的无线传感器网络的调试方法。 该方法包括收集价值指数以确定来自传感器节点和汇聚节点的错误的原因的步骤; 使用收集的价值指数检测错误的一个步骤; 绘制错误的基本原因的一步; 以及向用户显示基本原因的步骤。 （AA）传感器节点1;（BB）传感器节点n;（CC）收集评估指标值;（DD）错误检测;（EE）绘制基本原因;（FF）通知用户;（GG ）Sink节点评估指标值;（HH）Sink节点组件;（II）Sink节点;（JJ）用户界面