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    22008 research outputs found

    ESTIMATION OF TYPES AND QUANTITY OF LIQUID IN A BOTTLE USING SHAKING MOTION : ESTIMATION METHOD WITH ROBOT ARM USING REAL-WORLD PROPERTIES

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    In general, when an unknown liquid is contained in a bottle, by shaking it, we can roughly estimate its quantity and type. In this study, we focus on multiple shaking motions and real-world properties and aim to estimate the types and quantities of unknown liquids in bottle using Bayesian inference. Therefore, A robotic arm was developed in this study. First, to prepare the pre-information, various liquids in the bottle were shaken with two motions, and the voltage obtained from the strain gauges, average sound pressure, and maximum sound pressure were obtained. After that, two motions were alternately used to shake the unknown liquid. By updating the probability based on the obtained sensor data, the probability increases, and the estimation is successfully conducted

    IMPROVEMENT OF LUMINESCENT PROPERTIES FOR Eu-DOPED STRONTIUM ALUMINATE PHOSPHORS

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    This paper describes the preparation of Eu-doped strontium aluminate phosphors using a solid-state reaction method and the evaluation of their luminescence properties. The strontium aluminate phosphors co-doped with different rare earth ions were prepared, and photoluminescence (PL) measurements were performed. The results showed that Tb was more suitable than Tm as a photosensitizer for the three rare-earth-element-activated samples. The photoluminescence experiments showed that Eu and Dy, which are co-activated with two rare earth elements, were easily phosphorescence, and Eu, Dy, and Tb, which are co-activated with three rare earth elements, were also phosphorescence at similar temperatures. Considering the above two facts, it was confirmed that the combination of Eu, Dy, and Tb is the best material for luminescence intensity and phosphorescence

    SARCASM DETECTION USING CONVOLUTIONAL NEURAL NETWORK WITH FINE-TUNING

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    Sarcasm detection is an important task in correctly understanding a sentence. This study proposes a method of sarcasm detection using a Convolutional Neural Network (CNN) with fine-tuning. Assuming sarcasm is caused by sentiment, we attempt to pre-train the CNN on a sentiment analysis task to determine whether a sentence is negative or positive. We fine-tune the pre-trained CNN on the sarcasm detection task to determine whether a sentence is sarcastic or non-sarcastic. We found that the proposed method could detect sarcasm more accurately than CNN, Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) with randomly initialized parameters

    Simulation on position control of the Space Gravitational Wave Telescope DECIGO satellite

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    DECIGO (DECi-hertz Interferometer Gravitational wave Observatory) is a space gravitational wave antenna planned in Japan for the detection of gravitational waves in the 0.1-10 Hz frequency range.DECIGO\u27s key technologies are Formation Flight Control and Drag Free Control. These technologies enable DECIGO to counteract the effects of disturbances such as solar wind and solar radiation pressure. However, it is not possible to achieve all degrees of freedom on the ground. In this paper, simulations are performed to study the feasibility of thesontrols

    Development of Navigation Environment Recognition Algorithm for Stable Autonomous Mobile Robot using 3D-Lidar Considering Rain Conditions

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    For autonomous mobile robots to move safely, it is important that they have a stable recognition of their environment. Most autonomous mobile robots use LiDAR (Light Detection and Ranging) to sense the environment. Under normal weather circumstances, this LiDAR can assess the environment stably and accurately. However, in rainy weather, it has the problem of recognizing raindrops as objects. When an autonomous mobile robot uses LiDAR to detect obstacles in rainy weather, the laser emitted from LiDAR may hit raindrops and misdetect them. In this paper, 3D LiDAR is used to investigate the effect of rain on sensors and how the robot can navigate autonomously in the rain to enable an autonomous mobile robot in a rainy environment

    Ground-based demonstration of 6-DOF drag-free control for Space Gravitational Wave Detector DECIGO

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    DECIGO (DECi- hertz Interferometer Gravitational wave Observatory) is Japanese space antenna project for detecting gravitational wave. One of DECIGO\u27s technologies, "drag-free control", is the research theme. Drag-free control is to actively control the effects of external disturbances by tracking the satellite against a non-contact floating test mass inside the satellite in space. This research\u27s final purpose is to ensure the 6-DOF drag-free control operation on the ground by constructing a ground-suspended demonstration system. Sensors mounted on the simulated satellite measure the distance to the test mass that is swinging in 6-DOF. And then, feedback is given to the actuator that drives the 6-DOF motion on the simulated satellite so that the distance between the simulated satellite and the test mass is kept constant. In this experiment, control of the Pendulum in a 2-D is demonstrated, along with 6-DOF sensing verification

    DEVELOPMENT OF AN INDICATION DEVICE FOR THE ACTION INTENTION OF A TWO-WHEELED DIFFERENTIAL DRIVE ROBOT IN AN ENVIRONMENT WHERE IT PASSES BY PEDESTRIANS

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    The two-wheel differential drive type is widely used in mobile robots, which can efficiently perform accurate speed adjustment and quick course changes through the rotational difference between the two wheels on either side. It is difficult to guess how such a mobile robot will move from its appearance. Therefore, they may cause collisions with pedestrians when traveling in urban areas in the future. In this paper, we propose the development of a new device for indication of the mobile robot\u27s intention to action for passing pedestrians. RGB LED strip lights were employed as the action intention indicator. By emitting light from the RGB LED strip lights mounted around the vehicle body, the mobile robot indicates its action to passing pedestrians. In order to determine an effective method of indicating the action to passing pedestrians, we conducted a two-stage evaluation in a scenario in which the vehicle was passing a pedestrian. In the first stage, we evaluated the validity of the system by conducting a reaction time and action comprehension experiment on 12 subjects. In the second stage, we evaluated the power consumption of the action intention indicator device, and finally determined the proposed action intention indicator method for the mobile robot

    Challenges and Prospects in the Medical Device Industry : Heading toward a Leading Japanese Industry

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    This paper examines the challenges and prospects for further development of the medical device industry, which is becoming increasingly important as an industry that leads innovation and contributes to medical care. Issues include insufficient understanding of the industry as a whole due to the wide range of medical devices, inadequate insurance reimbursement systems to evaluate new innovations, and a shortage of database development and utilization. There are still insufficient industrial promotion measures, and how to ensure the balance between the sustainability of the medical insurance system and the reimbursement of medical equipment with the aging of the population and the rapid decline in the working generation is also of critical importance. In the future, based on these issues, it is necessary to promote product development from the patient’s perspective under an insurance reimbursement system that can appropriately evaluate innovation, and to achieve both further international expansion and a stable domestic supply

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    English-medium Programmes in Japan : A Critical Analysis of Research into Teacher Beliefs

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    This paper critically evaluates Annette Bradford’s 2019 paper “It’s not all about English! The problem of language foregrounding in English-medium programmes in Japan”, an example from a modest body of literature concerning teacher beliefs about policy-level English-medium instruction issues in Japan. Bradford’s research engages with the debate around language proficiency in these programmes and advocates for a reduced emphasis, in favour of a pedagogical and intercultural skills focus. The critique here systematically evaluates Bradford’s research design using an analysis schema adapted from the four “elements” of research design outlined by Crotty (1998). The limitations of Bradford’s study are discussed, with particular reference to Guba and Lincoln’s (1985) trustworthiness criteria, researcher positionally and the ramifications of data reuse. This critical analysis finds that whilst Bradford’s overarching conclusions and recommendations are a meaningful contribution to the literature, there are problems with aspects of the research design, ones which future scholars should take note of and make a conscious effort to avoid

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