公开(公告)号：EP2993460A1

公开(公告)日：2016-03-09

申请号：EP14804538.8

申请日：2014-05-30

Applicant: Osaka Prefecture University Public Corporation

Inventor： IIDA, Takuya ,  TOKONAMI, Shiho

IPC: G01N21/17 ,  G01N21/3577 ,  G01N21/41

CPC classification number: G01N33/54346 ,  C12Q1/6834 ,  C12Q2563/155 ,  C12Q2565/628 ,  G01N21/21 ,  G01N21/554 ,  G01N21/658 ,  G01N33/5308 ,  G01N33/553 ,  G01N2201/061 ,  G01N2201/0683

Abstract: A detection device (100) detects an analyte that may be contained in a specimen. The detection device (100) includes a plurality of gold nanoparticles, an optical trapping light source (101), an illumination light source (102), an objective lens (103), an image pick-up device (108), and a computation unit (106). The plurality of gold nanoparticles are each modified with a probe DNA allowing the analyte to specifically adhere thereto. The optical trapping light source (101) emits polarized light for assembling the plurality of gold nanoparticles together. The objective lens (103) focuses and introduces the polarized light into a liquid containing a specimen and the plurality of gold nanoparticles. The image pick-up device (108) receives light from the liquid. The computation unit (106) detects an analyte based on a signal received from the image pick-up device (108).

Abstract translation: 检测装置（100）检测可能包含在样本中的分析物。 检测装置（100）包括多个金纳米颗粒，光学捕获光源（101），照明光源（102），物镜（103），图像拾取装置（108）和计算 单元（106）。 多个金纳米颗粒各自用探针DNA修饰，使得分析物特异性地粘附于其上。 光捕获光源（101）发射用于将多个金纳米颗粒组装在一起的偏振光。 物镜（103）将偏振光聚焦并引入含有样品和多个金纳米颗粒的液体中。 摄像装置（108）从液体接收光。 计算单元（106）基于从图像拾取装置（108）接收的信号检测分析物。

公开(公告)号：EP2717221A1

公开(公告)日：2014-04-09

申请号：EP12792926.3

申请日：2012-05-15

Applicant: Osaka Prefecture University Public Corporation

Inventor： IWAMURA, Masakazu ,  KISE, Koichi

IPC: G06T1/00 ,  G06F17/30

CPC classification number: G06K9/62 ,  G06F17/30244 ,  G06F17/30271

Abstract: The present application relates to a method whereby a plurality of characteristic vectors which are extracted from image data are logged in a database together with the image data for approximate nearest neighbor searching, and has as an objective reducing computation time and memory use. L groups of K hash tables are generated, and each characteristic vector is respectively logged with each hash table. With one group as a copy destination, another group as a copy source, and each respective division by combination of logging bin of the K hash tables of each group as a bucket: 1) a given characteristic vector is focused on; 2) another characteristic vector which is logged in the same bucket in the copy source as the characteristic vector is identified; 3) a characteristic vector is selected in which a number of groups in which the other characteristic vector is logged in the same bucket as the characteristic vector which is focused on is greater than or equal to a prescribed threshold; and 4) when the characteristic vector which is selected in 3) is not logged in each bin of the copy destination in which the characteristic vector being focused on is logged, the characteristic vector is logged in each bin. After focusing on a prescribed number of characteristic vectors and executing 1) - 4) foregoing for each characteristic vector, the copy source hash tables are deleted.

Abstract translation: 本申请涉及一种方法，其中从图像数据中提取的多个特征向量与用于近似最近邻居搜索的图像数据一起被记录在数据库中，并且具有减少计算时间和存储器使用的目的。 生成L组K个散列表，并且每个散列表分别记录每个特征向量。 将一个组作为复制目的地，将另一个组作为复制源，并且将各个组的K个哈希表的记录单元的记录单元作为一个桶组合起来：1）集中一个给定的特征向量; 2）另一个特征向量，其与特征向量被识别一起记录在复制源中的同一桶中; 3）选择一个特征向量，其中在与所关注的特征向量相同的桶中记录有另一个特征向量的组的数目大于或等于规定的阈值; 以及4）当在3）中选择的特征向量没有记录在其中记录了正在聚焦的特征向量的复制目的地的每个分区中时，特征向量被记录在每个分箱中。 在关注规定数量的特征向量并针对每个特征向量执行1）-4）前述之后，删除复制源哈希表。

公开(公告)号：EP2692471A1

公开(公告)日：2014-02-05

申请号：EP12763193.5

申请日：2012-03-27

Applicant: Osaka Prefecture University Public Corporation ,  Kinki University ,  Isel Co., Ltd

Inventor： TAKASUGI Takayuki ,  KANENO Yasuyuki ,  OKI Sachio ,  HIRATA Tomotake ,  MOCHIZUKI Noboru

IPC: B23K20/12 ,  C22C19/03 ,  C22F1/10 ,  C22F1/00

CPC classification number: B23K20/125 ,  B23K20/1255 ,  C22C19/007 ,  C22C19/03 ,  C22F1/10

Abstract: A friction stir processing tool is formed from a Ni-based dual multi-phase intermetallic compound alloy containing rhenium(Re). The Ni-based dual multi-phase intermetallic compound alloy is preferably formed by casting, while gradually cooling, a melt containing all the components of the composition and is preferably heat treated after casting. Moreover, in a method for friction stir processing, a work is softened by friction heat generated when the friction stir processing tool, while rotating, is pressed against the work to be processed. The friction stir processing tool includes the Ni-based dual multi-phase intermetallic compound alloy, and therefore further high hardness is exhibited to improve abrasion resistance, so that even a long period of friction stir processing can be endured.

Abstract translation: 摩擦搅拌处理工具由含有铼（Re）的Ni基双相金属间化合物合金形成。 Ni基双相金属间化合物合金优选通过在逐渐冷却的同时浇铸含有组合物的全部组分的熔体而形成，并且优选在铸造后进行热处理。 此外，在摩擦搅拌处理方法中，当摩擦搅拌处理工具旋转时产生的摩擦热被压在待加工的工件上，使工件软化。 摩擦搅拌处理工具包括Ni基双相金属间化合物合金，因此显示出更高的硬度以改善耐磨性，从而可以承受长时间的摩擦搅拌加工。

公开(公告)号：EP2690473A2

公开(公告)日：2014-01-29

申请号：EP13177467.1

申请日：2013-07-22

Applicant: FUJIKURA LTD. ,  Osaka Prefecture University Public Corporation

Inventor： Maruyama, Ryo ,  Kuwaki, Nobuo ,  Matsuo, Shoichiro ,  Ohashi, Masaharu

IPC: G02B6/028 ,  G02B6/036

CPC classification number: G02B6/0281 ,  G02B6/02047 ,  G02B6/02214 ,  G02B6/03627 ,  G02B6/4401

Abstract: An optical fiber, including (i) an inner core having an α-power refractive index profile, (ii) an outer core having a refractive index of n1', and (iii) a cladding having a refractive index of n2 (n1'

Abstract translation: 一种光纤，包括（i）具有± - 功率折射率分布的内芯，（ii）折射率为n1'的外芯，以及（iii）折射率为n2（n1' n2

公开(公告)号：EP2650723A1

公开(公告)日：2013-10-16

申请号：EP11846888.3

申请日：2011-12-08

Applicant: Osaka Prefecture University Public Corporation ,  Sumitomo Electric Industries, Ltd.

Inventor： ISHIHARA, Hajime ,  OYAMADA, Atsuyuki ,  KUZUHARA, Satoshi ,  KITAGUCHI, Hisanobu ,  EBATA, Keiji

IPC: G02F1/37

CPC classification number: G02F1/3534 ,  G02F2203/13

Abstract: A terahertz light generation device 1 comprises a resonator structure 12 for intensifying incident light and outputting the intensified light and laser oscillation units 10, 11 for feeding the incident light into the resonator structure 12. The incident light comprises first and second incident light components having polarization states different from each other and frequencies different from each other. The laser oscillation units 10, 11 feed the resonator structure 12 with the first and second incident light components at an angle inclined from a principal surface in the resonator structure 12. The resonator structure 12 outputs light having a frequency corresponding to the difference between the respective frequencies of the first and second incident light components.

Abstract translation: 太赫兹光产生装置1包括用于增强入射光的谐振器结构12，并且输出用于将入射光馈送到谐振器结构12中的增强光和激光振荡单元10,11。入射光包括具有极化的第一和第二入射光分量 状态彼此不同，频率彼此不同。 激光振荡单元10,11以谐振器结构12中的主表面倾斜的角度将谐振器结构12与第一入射光分量和第二入射光分量进行馈送。谐振器结构12输出具有对应于谐振器结构12中的差的频率的光 第一和第二入射光分量的频率。

公开(公告)号：EP2602261A1

公开(公告)日：2013-06-12

申请号：EP11814640.6

申请日：2011-08-02

Applicant: Stella Pharma Corporation ,  Osaka Prefecture University Public Corporation

Inventor： KIRIHATA,Mitsunori ,  HATTORI,Yoshihide ,  UEHARA,Kohki ,  TAKENAKA,Hiroshi

IPC: C07F5/02

CPC classification number: C07F5/05 ,  C07F5/02 ,  C07F5/027

Abstract: The purpose of the present invention is to provide a novel boron-containing compound utilizable in BNCT and so on and a process for preparing same. According to the process, a boron compounds having an amino acid skeleton containing cyclo-type rings or a pharmaceutically acceptable salt thereof is prepared, said boron compound being represented by general formula (I)[wherein l is an integer of 1 to 6; m is 0, 1, or 2; and n is 0, 1 or 2].

Abstract translation: 本发明的目的是提供一种可用于BNCT等的新型含硼化合物及其制备方法。 根据该方法，制备具有含有环型环的氨基酸骨架的硼化合物或其药学上可接受的盐，所述硼化合物由通式（I）表示[其中l为1至6的整数; m为0,1或2; 和n为0,1或2]。

公开(公告)号：EP2442273A1

公开(公告)日：2012-04-18

申请号：EP10786104.9

申请日：2010-06-02

Applicant: Osaka Prefecture University Public Corporation

Inventor： INOUE, Katsufumi ,  KISE, Koichi

IPC: G06T7/00 ,  G06F17/30 ,  G06T1/00

CPC classification number: G06F17/30247

Abstract: The present invention aims to provide a method of compiling and retrieving an image database having excellent space efficiency, wherein an associative data structure is used in order to solve the foregoing problem.
There is provided a method including the steps of: an extracting step for extracting a plurality of feature vectors from an image formed by capturing an object to be stored into an image database, an n bit of identifier (n is a natural number) being previously assigned to the object and each feature vector representing a local feature of the image, and a storing step for storing each feature vector into the image database using a set of data structures, each data structure admitting a false positive in compensation for reduced memory amount and returning a value showing whether specified data is stored to the data structure or not, so that the identifier of the object is associated with the feature vector extracted therefrom, wherein the set of data structures has at least 2 by n identifier data structures, each identifier data structure corresponding to zero value and one value of each bit of the identifier, the storing step stores each feature vector into the identifier data structures of either zero value or one value of each bit according to the object from which the feature vector is extracted, the image database is accessed by a computer to execute, when an image showing an object is given as a query, a recognition process that examines whether the same object as the query is stored in the image database or not, wherein the recognition process includes steps of: extracting a plurality of feature vectors as query vectors from the query, testing whether the corresponding feature vector to each query vector is stored in the identifier data structures or not, and in case where the corresponding feature vector is stored in either zero value or one value of every bit of the identifier data structures, finding an identifier that relates to the query vector according to a stored value of each bit, so that the query is associated with the most strongly related identifier based on the sum of the tests on each query vector.

Abstract translation: 本发明旨在提供一种编译和检索具有优异空间效率的图像数据库的方法，其中使用关联数据结构来解决上述问题。 提供了一种方法，包括以下步骤：提取步骤，用于从通过将要存储的对象捕获到图像数据库中形成的图像中提取多个特征向量，将n位标识符（n是自然数）预先 分配给对象和表示图像的局部特征的每个特征向量，以及存储步骤，用于使用一组数据结构将每个特征向量存储到图像数据库中，每个数据结构允许补偿减少的存储量的假阳性， 返回一个表示是否将数据结构存储到数据结构中的值，使得该对象的标识符与从其中提取的特征向量相关联，其中该组数据结构具有至少2×n个标识符数据结构，每个标识符 数据结构对应于零值和标识符的每个位的一个值，存储步骤将每个特征向量存储到标识符数据结构中 根据从其提取特征向量的对象，零值或每个位的一个值，当计算机显示对象的图像作为查询时，图像数据库被计算机访问以执行识别过程，其中， 检查与查询相同的对象是否存储在图像数据库中，其中识别处理包括以下步骤：从查询中提取多个特征向量作为查询向量，测试是否存储了对每个查询向量的对应特征向量 在标识符数据结构中，以及在对应的特征向量存储在标识符数据结构的每个位的零值或一个值的情况下，根据每个的每个的存储值找到与查询向量相关的标识符 位，使得该查询基于每个查询向量上的测试的总和与最强相关的标识符相关联。

公开(公告)号：EP2218705A1

公开(公告)日：2010-08-18

申请号：EP08859898.2

申请日：2008-12-12

Applicant: Osaka Prefecture University Public Corporation ,  Japan Science and Technology Agency

Inventor： ISHIHARA, Hajime ,  IIDA, Takuya ,  EGUCHI, Hiroki

IPC: C07B57/00 ,  B01D57/00 ,  B82B3/00 ,  C07D519/00 ,  C09B47/00

CPC classification number: C07D519/00 ,  B01D57/00 ,  C07B57/00 ,  C09B47/00 ,  C09B67/0096 ,  C09B69/108 ,  C09B69/109

Abstract: In order to realize a method and an apparatus, each of which requires no contact treatment and no chemical reaction, for separating isomers of a chiral substance by irradiating a chiral substance C with light such as circularly polarized light, so as to separate isomers (C 1 and C 2 ) in accordance with a difference in acceleration between the isomers (C 1 and C 2 ), separation of isomers of a chiral substance in accordance with the present invention includes: (i) a circularly polarized light irradiating apparatus (3) for irradiating, with circularly polarized light, a chiral substance (C) which is a mixture of different isomers (C 1 and C 2 ) and is released from a molecular beam generating apparatus (2) in a vacuum chamber (1) and (ii) isomer inlets (1a and 1b) for separating the different isomers (C 1 and C 2 ) of the chiral substance (C) in accordance with a difference in acceleration between the different isomers (C 1 and C 2 ).

Abstract translation: 为了实现一种方法和装置，其中的每一个非接触方式不通过化学反应，用于通过照射的手性物质C与光分离手性物质的异构体：如圆偏振光，以分离异构体（C 1和C 2）与异构体（C 1和C 2）中雅舞蹈与本发明手性物质的异构体的分离包括之间的加速度的差异雅舞蹈：（ⅰ）一个圆偏振光照射装置（3） 照射，以圆偏振光，手性物质（C），所有这些是不同异构体（C 1和C 2）的混合物中并从分子束发生装置释放（2）在真空室（1）和（ii ）异构体入口（1a和用于与不同的异构体C 1和C 2）之间的加速度的差异分离所述手性物质（C）（以雅舞蹈的不同异构体（C 1和C 2）1b）中。

公开(公告)号：EP2192184A1

公开(公告)日：2010-06-02

申请号：EP08828171.2

申请日：2008-08-29

Applicant: Osaka Prefecture University ,  Fuso Pharmaceutical Industries, Inc.

Inventor： YAMASAKI, Shinji ,  SAMOSORUNSUK, Worada ,  ASAKURA, Masahiro

IPC: C12N15/09 ,  C07K14/205 ,  C07K16/12 ,  C12N1/15 ,  C12N1/19 ,  C12N1/21 ,  C12N5/10 ,  C12P21/02 ,  C12Q1/68 ,  G01N33/569

CPC classification number: C12Q1/689 ,  C07K16/1203 ,  C07K16/121 ,  C07K2317/76 ,  C12Q2600/158 ,  C12Q2600/16 ,  G01N33/56922 ,  G01N2333/205 ,  Y02A50/451

Abstract: An objective of the present invention is to provide the cytolethal distending toxin (CDT) of C. hyointestinalis and polynucleotides encoding it, and novel methods for detection of C. hyointestinalis using the cdt genes.
The present inventors focused on the cytolethal distending toxin (CDT) of Campylobacter bacteria, and detected the cdt genes of a Campylobacter -like bacterium isolated from an enteritis patient in Thailand. The present inventors discovered a bacterial strain whose cdtB gene was amplified by common primers in C. jejuni, C. coli, and C. fetus, but not by multiplex PCR that can specifically detect the cdtA, cdtB, and cdtC genes of the three bacterial species. The bacterial strain was identified as C. hyointestinalis by 16S rRNA gene analysis. Furthermore, the entire nucleotide sequence of the cdt genes was determined by genome walking upstream and downstream of the cdtB gene.

Abstract translation: 本发明的一个目的是提供豚肠弯曲杆菌和多聚核苷酸编码的，和新颖的方法的细胞致死肿胀毒素（CDT），用于检测C的使用cdt基因豚肠弯曲杆菌。 本发明人着眼于弯曲杆菌属细菌的细胞致死肿胀毒素（CDT），和检测出的细菌弯曲杆菌cdt基因样从在泰国肠炎患者中分离。 本发明人发现的细菌菌株是谁的CdtB基因，其通过在空肠弯曲杆菌共用引物，C.大肠杆菌，和C.胎儿扩增，但不被多重PCR做可特异性检测的CDTA，的CdtB，并且三个细菌的cdt基因 种。 其鉴定为C.细菌菌株的16S rRNA基因分析豚肠弯曲杆菌。 进一步，该确定性由基因组开采的cdt基因的完整的核苷酸序列上游的行走和基因的CdtB的下游。

公开(公告)号：EP2063394A1

公开(公告)日：2009-05-27

申请号：EP07791766.4

申请日：2007-08-01

Applicant: Osaka Prefecture University Public Corporation

Inventor： NOGUCHI, Kazuto ,  KISE, Koichi ,  IWAMURA, Masakazu

IPC: G06T7/00

CPC classification number: G06K9/6276 ,  G06K9/4671 ,  G06K9/6211 ,  G06K9/6231

Abstract: The invention provides a method for actualizing a high-speed object recognition process in an object recognition which extracts feature vectors from an input image where an object is captured, the feature vectors representing the object with the large number of the feature vectors; and retrieves, among an image database, one or more images whose features are matched. The invention also provides a method for saving a memory capacity required for the image database.
Suggested are methods each of the methods being capable of reducing a processing time required to perform a task which recognizes the object described by a plurality of the feature vectors with use of an approximate nearest neighbor search technique. One of the suggested methods is actualized by excluding such feature vectors that a large number of feature vectors are present in the vicinity and a large number of distance calculations, therefore, are required. Another suggested method is actualized by only performs voting using a hash table without performing any distance calculation. Moreover, another suggested method is actualized by connecting recognizers in cascaded manner each of which uses the nearest neighbor search technique, varying a degree of approximation applied to the object recognition in accordance with the input image, thereby significantly increasing efficiency.

Abstract translation: 本发明提供了一种实现物体识别中的高速物体识别过程的方法，该对象识别从对象被捕获的输入图像中提取特征向量，表示具有大量特征向量的对象的特征向量; 并且在图像数据库中检索其特征匹配的一个或多个图像。 本发明还提供了一种用于保存图像数据库所需的存储器容量的方法。 建议的方法是每种方法能够减少执行使用近似最近邻搜索技术来识别由多个特征向量描述的对象的任务所需的处理时间。 所提出的方法之一是通过排除在附近存在大量特征向量并且需要大量距离计算的特征向量来实现的。 另一个建议的方法是通过仅使用哈希表执行投票而不执行任何距离计算来实现的。 此外，通过以级联方式连接识别器来实现另一种建议的方法，每个方法使用最近邻搜索技术，根据输入图像改变应用于对象识别的近似度，从而显着提高效率。