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公开(公告)号：KR1020130017133A
公开(公告)日：2013-02-20
申请号：KR1020110079387
申请日：2011-08-10
Applicant: 목포대학교산학협력단
Abstract: PURPOSE: A method for determining a position of a movable body of a navigation system is provided to calculate a driving distance of the movable body per unit hour by setting a driving distance conversion factor according to a driving speed of the movable body, thereby enabling to reduce errors. CONSTITUTION: A method for determining a position of a movable body of a navigation system is as follows. The reliability of position information received from a GPS(Global Positioning System) satellite when driving the movable body is determined(S200,S201). When the reliability of the position information is higher than a preset standard, a position of the movable body is determined by reflecting the position information to a position determination algorithm(S202). The determined position information of the movable body is displayed on a digital map by map-matching(S203). When the reliability of the position information is lower than the preset standard, whether or not a driving speed of the movable is higher than a preset speed is determined based on the number of pulse signals per unit hour generated by a speedometer by driving the movable body(S204,S205). When the driving speed of the movable body is higher than the preset speed, a driving distance per unit hour of the movable body is calculated by setting a driving distance conversion factor based on the number of the pulse signals(S206,S208). [Reference numerals] (AA) Start; (BB,EE,GG) No; (CC,FF,HH) Yes; (DD) Performing a different operation; (S200) Movable body is traveling?; (S201) Inputted position information signal is reliable?; (S202) Reflecting the position information signal to position determination algorithm; (S203) Map matching and display; (S204) Counting the number of pulse signals per unit time; (S205) Higher than a preset speed?; (S206) Setting a driving distance conversion factor according to the number of pulse signals; (S207) Setting a driving distance conversion factor of a preset value; (S208) Calculating a driving distance; (S209) Reflecting to the position determination algorithm; (S210) Map matching and display
Abstract translation: 目的：提供一种用于确定导航系统的移动体的位置的方法，以通过根据可移动体的行驶速度设定驾驶距离转换系数来计算每单位时间内的可移动体的行驶距离，从而能够 减少错误。 构成：用于确定导航系统的移动体的位置的方法如下。 确定在驱动移动体时从GPS（全球定位系统）卫星接收的位置信息的可靠性（S200，S201）。 当位置信息的可靠性高于预设标准时，通过将位置信息反映到位置确定算法来确定移动体的位置（S202）。 通过地图匹配在数字地图上显示所确定的可移动体的位置信息（S203）。 当位置信息的可靠性低于预设标准时，基于通过驱动移动体来产生的每单位时间的脉冲信号的数量来确定移动体的驱动速度是否高于预设速度 （S204，S205）。 当可移动体的驱动速度高于预设速度时，通过根据脉冲信号的数量设定行驶距离转换系数来计算移动体的每单位时间的行驶距离（S206，S208）。 （附图标记）（AA）开始; （BB，EE，GG）否; （CC，FF，HH）是; （DD）执行不同的操作; （S200）移动体正在行驶？ （S201）输入位置信息信号可靠？ （S202）将位置信息信号反映到位置确定算法; （S203）地图匹配和显示; （S204）计算单位时间的脉冲信号数; （S205）高于预设速度？ （S206）根据脉冲信号的数量设定驾驶距离转换系数; （S207）设定预设值的行驶距离转换系数; （S208）计算驾驶距离; （S209）反映位置确定算法; （S210）地图匹配和显示
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公开(公告)号：KR1020120136567A
公开(公告)日：2012-12-20
申请号：KR1020110055573
申请日：2011-06-09
Applicant: 목포대학교산학협력단
IPC: G06N3/08
CPC classification number: G06N3/08 , G06N3/0481
Abstract: PURPOSE: A red tide occurrence prediction method using a neural network and SVM(support vector machines) is provided to minimize red tide damages by predicting red tide occurrence based on an ocean environment. CONSTITUTION: A learning material for predicting red tide occurrence is processed in advance(100). A red tide occurrence state for input data is predicted by referring to processed learning material(200). The red tide occurrence is predicted by using an SVM model including a penalty term and composure variable which presents a distance from a focal plane to a material which is wrongly located. [Reference numerals] (100) Pre-processing; (200) Nerve network/SM; (AA) Learning material; (BB) Learning; (CC) Input material; (DD) Predicting occurrence of red tide
Abstract translation: 目的：提供一种使用神经网络和SVM（支持向量机）的红潮发生预测方法，通过预测基于海洋环境的红潮发生来最大限度地减少红潮损失。 构成：预测红潮发生的学习材料（100）。 通过参照处理的学习材料（200）预测输入数据的红潮发生状态。 通过使用SVM模型来预测红潮发生，该SVM模型包括惩罚项和压缩变量，该变量表示从焦平面到被错误定位的材料的距离。 （附图标记）（100）预处理; （200）神经网络/ SM; （AA）学习资料; （BB）学习; （CC）输入材料; （DD）预测红潮的发生
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公开(公告)号：KR1020130034915A
公开(公告)日：2013-04-08
申请号：KR1020110099080
申请日：2011-09-29
Applicant: 목포대학교산학협력단
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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公开(公告)号：KR1020120136565A
公开(公告)日：2012-12-20
申请号：KR1020110055570
申请日：2011-06-09
Applicant: 목포대학교산학협력단
Abstract: PURPOSE: A red tidal occurrence prediction method is provided to predict red tidal by using a fuzzy estimation method and water temperature, temperature, and precipitation information. CONSTITUTION: A group including similar characteristics is estimated from a data group(210). A fuzzy membership is calculated by using a fuzzy membership function for the group(220). A fuzzy rule is created for input data by referring to the fuzzy membership(230). Clustering uses a method of Chiu for estimating a cluster and is used for estimating a potential center. The fuzzy rule is created by using a fuzzy estimation model. [Reference numerals] (100) Pre-processing; (200) Fuzzy estimation; (210) Grouping; (220) Calculating fuzzy membership; (230) Creating fuzzy rule; (AA) Learning material; (BB) Input material; (CC) Predicting occurrence of red tide
Abstract translation: 目的：提出一种红潮预报方法，通过模糊估计法和水温，温度，降水信息预测红潮。 构成：从数据组（210）估计包含相似特征的组。 通过使用组的模糊隶属函数来计算模糊隶属度（220）。 通过参照模糊隶属度（230）为输入数据创建模糊规则。 聚类使用Chiu的方法来估计一个聚类，并用于估计一个潜在的中心。 模糊规则是通过使用模糊估计模型创建的。 （附图标记）（100）预处理; （200）模糊估计; （210）分组; （220）计算模糊隶属度; （230）创建模糊规则; （AA）学习资料; （BB）输入材料; （CC）预测红潮的发生
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