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Neurotypology: A View from Processing of Head-final Languages
Hiromu Sakai 새한영어영문학회 2009 새한영어영문학회 학술발표회 논문집 Vol.2009 No.8
Human languages in the world exhibit remarkable typological variation. Nevertheless, a single human neurocognitive system can process them in fast, accurate, and efficient fashion. A new interdisciplinary field called “"neurotypology”" emerges to inquire into the nature of cognitive mechanisms that enable such remarkable capacity. In this talk, we will overview the current state of this field through a series of experimental studies on Japanese sentence processing.
Incorporating Ghost Module into RCANfor Super-Resolution of Satellite Images
Hiromu Ikeda,Guangxu Li,Tohru Kamiya 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
With the explosion of amount of low cost satellites, satellite images have been widely used for many non-military applications, such as agriculture, landscape, and recognition of environment. Improving the image resolution to mine useful information becomes one of the immediate problems. Therefore, it is expected to improve the recognition accuracy by increasing the resolution of satellite images. Recently, deep learning technique has been proposed to increase the resolution of images. However it requires a large number of learning parameters, which results in huge computational cost. To overcome this problem, we develop a new deep learning model based on ghost module to reduce the parameters while maintaining the quality of results. We utilized Google Earth Pro satellite imagery for the network training and testing. Comparing to the classical convolutional neural network module based methods, the number of parameters used in our model was reduced 49.31% but keeping the same level of Peak Signal - to - Noise Ratio (24.1578) and Structural Similarity (0.7174).
10-Gb/s Data Frame Generation Circuit with Frequency Modulation in 65-nm CMOS
Hiromu Uemura,Kosuke Furuichi,Natsuyuki Koda,Hiromi Inaba,Keiji Kishine 대한전자공학회 2018 Journal of semiconductor technology and science Vol.18 No.2
Currently, there is a great demand for high speed and large capacity communication systems. Therefore, it is important to develop circuit and device technologies that support these systems. Furthermore, it is important that high speed and large capacity systems are developed based on those technologies. In this paper, we propose a transmitter design method for the transmission system that the additional signal add to 10-Gb/s signal. The system transmits the data frames and the additional information simultaneously. To add the additional information, called the "labeling signal", to the data frames, we perform a frequency modulation technique on the transmitted data frames. To confirm the performance of the proposed circuit and design method, we fabricate an IC with the proposed system’s transmitter by using the 65-nm CMOS process. We confirm that the data frames are frequency modulated and the transmitter generates the frequency-modulated data frames.