유비쿼터스 지능형 로봇을 이용한 홈 네트워크 서비스 방법
    41.
    发明公开
    유비쿼터스 지능형 로봇을 이용한 홈 네트워크 서비스 방법 失效
    使用UBIQUITIOUS ROBOTIC COMPANION的家庭网络服务方法

    公开(公告)号:KR1020100066918A

    公开(公告)日:2010-06-18

    申请号:KR1020080125435

    申请日:2008-12-10

    CPC classification number: H04L12/2812

    Abstract: PURPOSE: A home network service method using a ubiquitous intelligent robot for offering a service for a location of a user and a robot for the coordinate information are provided to no need to use a remote controller by supplying robot performing voice input through a location sensor. CONSTITUTION: User interface information is inputted through a ubiquitous intelligent robot. The inputted user interface information is transmitted to the ubiquitous intelligent robot server(S300, S302). The ubiquitous intelligent robot server refers to the multimedia device having the multimedia information corresponding to the user interface information from a home network device group(S304). If the multimedia device is detected, the information search result user interface information is outputted through the ubiquitous intelligent robot.

    Abstract translation: 目的:通过提供通过位置传感器执行语音输入的机器人,无需使用遥控器,使用无处不在的智能机器人为用户和机器人的位置提供坐标信息的家庭网络服务方法。 构成:通过无处不在的智能机器人输入用户界面信息。 输入的用户界面信息被发送到无处不在的智能机器人服务器(S300,S302)。 无处不在的智能机器人服务器是指具有与来自家庭网络设备组的用户界面信息相对应的多媒体信息的多媒体设备(S304)。 如果检测到多媒体设备,则通过无处不在的智能机器人输出信息搜索结果用户界面信息。

    우편 용기 라벨 관리 시스템 및 방법
    42.
    发明公开
    우편 용기 라벨 관리 시스템 및 방법 无效
    用于管理邮政容器标签的系统和方法

    公开(公告)号:KR1020100065726A

    公开(公告)日:2010-06-17

    申请号:KR1020080124204

    申请日:2008-12-08

    CPC classification number: G06Q50/32 G06Q10/06312 G09F3/0297

    Abstract: PURPOSE: A mail container label management system and a method thereof for appropriately adjusting the workload of a mail receptionist are provided to reduce workload of a receptionist by attaching the labels to the post container labels. CONSTITUTION: A basic reception information manager(210) manages the acceptance information of a postal matter. A container label controller(220) generates container labels by using the acceptance information. A working load controller(230) adjusts the work load by using the acceptance information. A reception information generator transfers the acceptance information to the receipt basic information manager. The receipt information generator outputs the container label.

    Abstract translation: 目的:提供一种用于适当调整邮件接收者的工作量的邮件容器标签管理系统及其方法,以通过将标签附加到邮政容器标签来减少接待员的工作量。 规定:基本接收信息管理器(210)管理邮件的接受信息。 容器标签控制器(220)通过使用验收信息生成容器标签。 工作负荷控制器(230)通过使用验收信息来调整工作负荷。 接收信息发生器将接受信息传送到接收基本信息管理器。 收据信息生成器输出容器标签。

    지그비 디바이스의 초기 망접속 방법
    43.
    发明公开
    지그비 디바이스의 초기 망접속 방법 有权
    稳定的ZIGBEE系统的网络连接方法

    公开(公告)号:KR1020100065015A

    公开(公告)日:2010-06-15

    申请号:KR1020090021692

    申请日:2009-03-13

    CPC classification number: H04L41/0806 H04W84/18

    Abstract: PURPOSE: An initial network connection method of a zigbee system is provide to perform reattempt about the whole access process, thereby reducing an initial network access failure rate through repetition of the connecting procedure. CONSTITUTION: A device broadcasts a beacon request frame(S40). The device receives a beacon as a response(S42). If the beacon is received, the device checks appropriate parent device through information analysis of the beacon(S46). If the appropriated parent device is selected, the device transmits association request frame to the parent device(S48). If ACK(Acknowledgement) is normally received from a parent device, the device transmits data request frame(S50,S58).

    Abstract translation: 目的:提供zigbee系统的初始网络连接方法来对整个访问过程执行重新尝试,从而通过重复连接过程来减少初始网络访问故障率。 构成:设备广播信标请求帧(S40)。 设备作为响应接收信标(S42)。 如果信标被接收到,则设备通过信标的信息分析来检查合适的父设备(S46)。 如果选择了专用的父设备,则设备向父设备发送关联请求帧(S48)。 如果从父设备正常接收到ACK(确认),则设备发送数据请求帧(S50,S58)。

    마일리지 산정 시스템 및 방법
    44.
    发明公开
    마일리지 산정 시스템 및 방법 有权
    用于微计算的系统和方法

    公开(公告)号:KR1020100064310A

    公开(公告)日:2010-06-14

    申请号:KR1020090060367

    申请日:2009-07-02

    CPC classification number: G06Q30/0226 G06Q50/32

    Abstract: PURPOSE: A mileage calculation system and a method thereof are provided to receipt the postal matter after passing categorization when the agency receives the large amount postal matter by calculating mileage and categorizing the postal matter. CONSTITUTION: An information storage unit(110) stores a mail fee table, a quantity reduction rate table, and a category reduction rate table. A first reduction rate determiner unit(130) determines the amount of materials reduction rate about a plurality of postal matters. A second reduction rate determiner unit(150) determines the category reduction rate about a plurality of postal matters. A mileage calculator unit(170) calculates the integration charge about a plurality of postal matters. The mileage calculator unit calculates the mileage about a plurality of postal matters.

    Abstract translation: 目的:提供一种里程计算系统及其方法,通过分类后通过计算里程和分类邮政事务收到大量邮政物件后收到邮件。 构成:信息存储单元(110)存储邮件费表,数量减少率表和类别缩减率表。 第一减速率确定单元(130)确定关于多个邮政物品的材料减少率的量。 第二减速率确定单元(150)确定关于多个邮政事务的类别减少率。 里程计算器单元(170)计算关于多个邮政事项的积分费用。 里程计算器单元计算关于多个邮政事宜的里程。

    연속 숫자의 음성 인식에 있어서 혼동행렬과 신뢰도치 기반의 다중 인식후보 생성 장치 및 방법
    45.
    发明公开
    연속 숫자의 음성 인식에 있어서 혼동행렬과 신뢰도치 기반의 다중 인식후보 생성 장치 및 방법 有权
    基于混合矩阵产生N-BEST假设的设备和方法和连接数字语音识别中的信心度量

    公开(公告)号:KR1020100062831A

    公开(公告)日:2010-06-10

    申请号:KR1020090027532

    申请日:2009-03-31

    Abstract: PURPOSE: A multiple recognition candidate formation apparatus and a method thereof are provided, which can improve the efficiency of the voice recognition engine by reducing the usage amount of a memory unit and search time for creating the multiple recognition candidate. CONSTITUTION: A voice feature extractor(502) creates the feature vector through the voice recognition about the consecutive numbers voice. A search unit(504) creates the single recognition candidate string through the pattern recognition about the feature vector. The search unit outputs the likelihood point and feature vector about discrete numerical sound composed of the single recognition candidate string. A multiple recognition candidate generation part(508) creates the multiple recognition candidate by referring the order by numerical sound of the confidence measure generator(506) and the pre-set confusion matrix.

    Abstract translation: 目的:提供一种多重识别候选者形成装置及其方法,其通过减少存储单元的使用量和创建多个识别候选者的搜索时间来提高语音识别引擎的效率。 构成:语音特征提取器(502)通过关于连续数字语音的语音识别来创建特征向量。 搜索单元(504)通过关于特征向量的模式识别创建单个识别候选串。 搜索单元输出关于由单个识别候选串组成的离散数字声音的似然点和特征向量。 多重识别候选产生部分(508)通过将置信度测量发生器(506)的数字声音和预设混淆矩阵参考顺序来创建多个识别候选。

    전자소인 처리 방법 및 우편물 검증 방법
    46.
    发明公开
    전자소인 처리 방법 및 우편물 검증 방법 失效
    处理电子指标的方法和验证邮件的方法

    公开(公告)号:KR1020100045768A

    公开(公告)日:2010-05-04

    申请号:KR1020080104865

    申请日:2008-10-24

    CPC classification number: G06Q50/32 G06Q10/06

    Abstract: PURPOSE: A method for processing electronic indicia and a method for verifying mail are provided to add a serial number that a manufacturer manages to a prefix to generate an indicium, thereby assigning the generated electronic indicium by corresponding mail. CONSTITUTION: A prefix corresponding to a manufacturer is allocated(S103). A serial number that the manufacturer manages is added to the prefix to generate an electronic indicium(S107). The number of bits of the serial number used during the predetermined period is determined during a process in which the electronic indicium is generated. The serial number is classified as a plurality of classes in which predetermined segments are included. Each class is classified into prefix segments and representative segments.

    Abstract translation: 目的:提供一种处理电子标记的方法和一种用于验证邮件的方法,以将制造商管理的序列号添加到前缀以产生标记,从而通过相应的邮件来分配生成的电子标记。 构成:分配与制造商对应的前缀(S103)。 制造商管理的序列号被添加到前缀以生成电子标记(S107)。 在产生电子标记的处理期间确定在预定时段期间使用的序列号的比特数。 序列号被分类为其中包括预定段的多个类别。 每个类分为前缀段和代表段。

    무선 센서 네트워크에서 셀을 이용한 위치기반 라우팅 방법
    47.
    发明授权
    무선 센서 네트워크에서 셀을 이용한 위치기반 라우팅 방법 有权
    基于位置的路由方法在无线传感器网络中使用单元

    公开(公告)号:KR100954380B1

    公开(公告)日:2010-04-26

    申请号:KR1020070102763

    申请日:2007-10-11

    Abstract: A position-based routing method by using a cell in a wireless sensor network is provided to minimize the energy and to determine a path until a destination node easily by reducing the periodical communication for the position information confirmation. In a next-hop position calculation process, the virtual ONI(Optimal Next-hop Information) among the paths until the destination node is calculated. In a communication area division process(302), the communication area is divided into fixed cell sizes by using the calculated virtual ONI position. In a packet broadcasting process(303), a packet including the virtual ONI position and the cell sizes is broadcasted to the surrounding node in the communication area. In a next-hop node decision process(305), the firstly transmitted surrounding node is determined as the next-hop node after receiving a response message in regard to the broadcasted packet from the surrounding node. In the next-hop position calculation process, the position joined by the virtual segment for connecting the distance until the destination node and a virtual circle corresponding to one's own communication area is calculated and the calculating result is determined as the next hop position.

    음성 인식 방법 및 장치
    48.
    发明授权
    음성 인식 방법 및 장치 有权
    用于识别语音的方法和装置

    公开(公告)号:KR100925479B1

    公开(公告)日:2009-11-06

    申请号:KR1020070095540

    申请日:2007-09-19

    CPC classification number: G10L15/187 G10L2015/025

    Abstract: 본 발명은 음성 인식 방법 및 장치에 관한 것으로, 음소 인식된 음소열에 대한 신뢰도를 계산하고 이를 이용하여 음성 인식 성능을 향상시키기 위한 방법 및 장치를 제공한다. 이를 위하여, 본 발명에 따른 음성 인식 방법은, 음성으로 입력된 문자열에 포함된 음소 간의 경계를 결정함으로써 각 음소 구간을 검출하는 단계; 상기 검출된 각 음소 구간이 나타내는 음소가 미리 정의된 음소 모델에 속하는 각 음소일 확률에 따른 신뢰도를 계산하는 단계; 상기 계산된 신뢰도 및 미리 훈련하여 저장된 음소 인식 확률 분포를 기반으로 상기 문자열에 대한 음소 정렬 비용을 계산하는 단계; 및 상기 계산된 음소 정렬 비용을 기반으로 음소 정렬을 수행함으로써 상기 입력된 문자열을 음성 인식하는 단계를 포함함으로써, 음소 인식된 음소열에 대한 신뢰도를 계산하고 이를 이용하여 음성 인식 성능을 향상시킬 수 있는 이점이 있다.
    음성 인식, 유사도, 확률, 신뢰도

    어휘 디코딩 방법 및 장치
    49.
    发明公开
    어휘 디코딩 방법 및 장치 无效
    用于解码的方法和装置

    公开(公告)号:KR1020090065102A

    公开(公告)日:2009-06-22

    申请号:KR1020070132546

    申请日:2007-12-17

    CPC classification number: G10L15/10 G10L2015/025

    Abstract: A vocabulary decoding method and an apparatus thereof are provided to shorten overall performance time of voice recognition without deteriorating voice recognition performance. Based on an inputted voice signal, length of a phoneme series which is outputted by decoding phonemes is detected. Based on the detected length of the phoneme series, recognition target words(202) similar to the length of the phoneme series are selected. Edition distance measurement with the phoneme series is carried out on the basis of the selected recognition target words. Through the edition distance measurement, at least one recognition target word having a minimum edition distance with the phoneme series is outputted.

    Abstract translation: 提供一种词汇解码方法及其装置,以缩短语音识别的整体性能时间,而不会降低语音识别性能。 基于输入的语音信号,检测由解码音素输出的音素系列的长度。 基于检测到的音素系列的长度,选择与音素系列的长度相似的识别对象字(202)。 基于所选择的识别目标词,进行基于音素系列的版本距离测量。 通过编辑距离测量,输出与音素系列具有最小编辑距离的至少一个识别对象字。

    음성 인식 방법
    50.
    发明公开
    음성 인식 방법 有权
    语音识别方法

    公开(公告)号:KR1020090041923A

    公开(公告)日:2009-04-29

    申请号:KR1020070107705

    申请日:2007-10-25

    Abstract: A voice recognition method is provided to model various textual language phenomenons into statistical modeling among various knowledge sources. A morpheme is interpreted for a primitive text language corpus consisting of the separate words of Korean(S201). A morpheme language corpus separated is a separate word generated to morpheme. A word trigram which is the language model consisting of a morpheme unigram about a generated morpheme language corpus as described above, and bigram and trigrams is generated(S202). A first N - best recognition candidate to the maximum N is generated for a voice(S204). Recognition result candidates applying a morph-syntactic constraints are revaluated(S205). A second N-best list generated in above step is revaluated(S206). A final N-best list is generated.

    Abstract translation: 提供语音识别方法,将各种文本语言现象建模成各种知识源之间的统计建模。 语素被解释为由韩语单词组成的原始文本语言语料库(S201)。 分离语素语言语料是一个单独的语素词。 生成由上述生成的语素语言语料库的词素单词组成的语言模型的单词trigram,并且生成二进制和三元组(S202)。 为语音产生最大N的第N个最佳识别候选(S204)。 重新评估应用变形语法约束的识别结果候选(S205)。 在上述步骤中生成的第二个N最佳列表被重新评估(S206)。 生成最终的N最佳列表。

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