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    • 2. 发明授权
    • Method of fabricating semiconductor laser using selective growth
    • 使用选择性增长制造半导体激光器的方法
    • US06171878B2
    • 2001-01-09
    • US09157246
    • 1998-09-18
    • Tsuyoshi FujimotoYumi NaitoAtsushi OkuboYoshikazu Yamada
    • Tsuyoshi FujimotoYumi NaitoAtsushi OkuboYoshikazu Yamada
    • H01S302
    • H01S5/2231B82Y20/00H01S5/2077H01S5/2206H01S5/34313H01S5/3432H01S2304/00
    • In a self-aligned structure semiconductor laser in which a pair of optical guide layers are respectively formed on both faces of an active layer, the optical guide layers having a bandgap which is wider than that of the active layer, a pair of cladding layers are formed so as to sandwich the active layer and the optical guide layers, the cladding layers having a bandgap which is wider than bandgap of the optical guide layers, a pair of carrier blocking layers are respectively formed between the active layer and the optical guide layers, the carrier blocking layers having a bandgap which is wider than bandgaps of the active layer and the optical guide layers, and a current blocking layer having a stripe-like window is embedded in at least one of the optical guide layers, the current blocking layer is formed by selective growth. In this way, a window of a current blocking layer can be accurately formed and the fabrication yield can be improved while avoiding maleffects on other layers.
    • 在其中在有源层的两个表面上分别形成一对导光层的自对准结构半导体激光器中,具有比有源层宽的带隙的导光层,一对包覆层是 形成为夹持有源层和导光层,包层具有比导光层的带隙宽的带隙,在有源层和导光层之间分别形成一对载流子阻挡层, 具有比有源层和导光层的带隙宽的带隙的载流子阻挡层和具有条状窗口的电流阻挡层嵌入到至少一个导光层中,电流阻挡层是 通过选择性生长形成。以这种方式,可以精确地形成电流阻挡层的窗口,并且可以提高制造产率,同时避免对其他层的不良影响。
    • 3. 发明授权
    • Semiconductor laser device
    • 半导体激光器件
    • US6118799A
    • 2000-09-12
    • US817602
    • 1997-06-10
    • Atsushi OkuboYoshikazu YamadaTsuyoshi FujimotoSatoru OkadaYumi NaitoKiyofumi Muro
    • Atsushi OkuboYoshikazu YamadaTsuyoshi FujimotoSatoru OkadaYumi NaitoKiyofumi Muro
    • H01S5/20H01S5/22H01S5/223H01S5/343H01S3/085
    • B82Y20/00H01S5/2231H01S5/2238H01S5/204H01S5/222H01S5/3432
    • A semiconductor device including a buffer layer 32 on n-GaAs, a clad layer 31, a wave guide layer 30 and a carrier block layer 29 of n-AlGaAs, a side barrier layer 28 of non-doped AlGaAs, an active layer 27 which is formed by two non-doped GaAs quantum well layers and a barrier layer of AlGaAs, a side barrier layer 26 of non-doped AlGaAs, a carrier block layer 25, a wave guide layer 23 and a clad layer 22 of p-AlGaAs, and a cap layer 21 of p-GaAs are grown in this order. Inside the wave guide layer 23, current blocking layers 24 having a lower refractive index and higher Al-composition than that of the wave guide layer and sandwich a strip-shaped active region 34. This creates a refractive index difference between the active region 34 and buried regions 33 in which each of the current blocking layers 24 exists, thereby forming a refractive index guide structure. Thus, it is possible to obtain a high-output semiconductor laser device of the refractive index guided type which is easy to manufacture.
    • PCT No.PCT / JP95 / 02118 Sec。 371日期:1997年6月10日 102(e)日期1997年6月10日PCT提交1995年10月16日PCT公布。 WO96 / 12328 PCT出版物 日期:1996年04月25日包括n-GaAs上的缓冲层32,n-AlGaAs的覆盖层31,波导层30和载流子层29的半导体器件,非掺杂AlGaAs的侧面阻挡层28, 由两个非掺杂GaAs量子阱层和AlGaAs的势垒层,非掺杂AlGaAs的侧阻层26,载流子阻挡层25,波导层23和覆盖层22形成的有源层27 的p-AlGaAs,并且p-GaAs的覆盖层21依次生长。 在波导层23内,电流阻挡层24具有比波导层低的折射率和更高的Al组分,并且夹持条形有源区域34.这在活性区域34和 其中存在每个电流阻挡层24的埋入区域33,从而形成折射率引导结构。 因此,可以获得易于制造的折射率导向型的高输出半导体激光器件。
    • 4. 发明授权
    • Image processing apparatus, image processing method, image recognition apparatus, and image recognition method
    • 图像处理装置,图像处理方法,图像识别装置和图像识别方法
    • US08411906B2
    • 2013-04-02
    • US11951437
    • 2007-12-06
    • Atsushi OkuboJun Yokono
    • Atsushi OkuboJun Yokono
    • G06K9/00
    • G06K9/00268G06K9/6231G06K9/6234
    • The present invention provides an information processing apparatus including combination generating means for getting a first feature quantity of N dimensions, N being an integer of at least two, from first information prepared for execution of learning and use the first feature quantity of N dimensions to generate at least two of a first feature quantity combination that are not greater than N dimensions of the first feature quantity; and learning processing executing means for computing a correlation coefficient between the plurality of first feature quantity combinations generated by the combination generating means and a learning model feature quantity matching each dimension of the plurality of first feature quantity combinations and, by use of the first correlation coefficient, classify the first information, thereby executing learning processing for classifying predetermined second information.
    • 本发明提供了一种信息处理装置,包括从用于执行学习的第一信息获得N维的第一特征量N,至少为2的整数的组合生成装置,并且使用N维的第一特征量来生成 不大于第一特征量的N维的第一特征量组合中的至少两个; 以及学习处理执行装置,用于计算由组合生成装置生成的多个第一特征量组合和与多个第一特征量组合中的每个维度相匹配的学习模型特征量之间的相关系数,并且通过使用第一相关系数 对第一信息进行分类,从而执行用于对预定的第二信息进行分类的学习处理。
    • 10. 发明申请
    • INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
    • 信息处理设备,信息处理方法和程序
    • US20100329544A1
    • 2010-12-30
    • US12816779
    • 2010-06-16
    • Kohtaro SabeAtsushi OkuboKenichi Hidai
    • Kohtaro SabeAtsushi OkuboKenichi Hidai
    • G06K9/62
    • G06K9/6256G06K9/00288G06K9/4614
    • An information processing apparatus includes the following elements. A learning unit is configured to perform Adaptive Boosting Error Correcting Output Coding learning using image feature values of a plurality of sample images each being assigned a class label to generate a multi-class classifier configured to output a multi-dimensional score vector corresponding to an input image. A registration unit is configured to input a register image to the multi-class classifier, and to register a multi-dimensional score vector corresponding to the input register image in association with identification information about the register image. A determination unit is configured to input an identification image to be identified to the multi-class classifier, and to determine a similarity between a multi-dimensional score vector corresponding to the input identification image and the registered multi-dimensional score vector corresponding to the register image.
    • 信息处理装置包括以下要素。 学习单元被配置为使用多个样本图像的图像特征值来执行自适应提升误差校正输出编码学习,每个样本图像被分配类别标签,以生成被配置为输出与输入相对应的多维得分向量的多类分类器 图片。 注册单元被配置为将注册图像输入到多类分类器,并且与关于注册图像的识别信息相关联地注册与输入注册图像相对应的多维分数向量。 确定单元被配置为将要识别的识别图像输入到多类分类器,并且确定与输入的标识图像相对应的多维得分向量与对应于寄存器的登记的多维得分向量之间的相似度 图片。