A two-dimensional temperature measurement technique was developed using fluorescence in order to investigate convective mixing phenomena in a microspace. The present study focused on the spatial and temperature resolu...
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A two-dimensional temperature measurement technique was developed using fluorescence in order to investigate convective mixing phenomena in a microspace. The present study focused on the spatial and temperature resolution using a fluorescence dye, i.e., Ru(bpy)32+, whose flutrescence intensity is strongly dependent on temperature, yielding a precise measurement in the microspace. The temperature resolution obtained from this study showed ±0.26 K in the range from 297 K to 334 K at the spatial resolution of 5 × 5 μm. The present work utilized a T-shaped microchannel with two inlets, which was fabricated with silicone elastamer using the replica molding technique. Velocity measurements in the junction area of the microchannel were performed by a micro-resolution particle image velocimetry. It was observed that the conduction heat flux was more dominant than the convection heat flux when two fluids at different temperature merged together in the junction area. The measurement techniques in microspace accomplished in the present study have an ability to visualize and to investigate mass and thermal diffusion in the microchannel, which will contribute significantly to develop the microdevices.
The source current detection type AF has a merit of robustness to the load variation, but a problem of the resonance between the AF (active filter) and an LC (inductance-capacitance) filter often arises if an LC filte...
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The source current detection type AF has a merit of robustness to the load variation, but a problem of the resonance between the AF (active filter) and an LC (inductance-capacitance) filter often arises if an LC filter is connected parallel to the AF. In this paper, double-LISN (line impedance stabilization network) circuit based AF, resonance analysis and the simulation results comparing with experimental ones are studied and discussed.
Summary form only given. CdSe/sub x/Te/sub 1-x//ZnSe quantum-dots structures have a large conduction and valence band offset at an appropriate composition and are expected to be highly-efficient light-emitting materia...
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Summary form only given. CdSe/sub x/Te/sub 1-x//ZnSe quantum-dots structures have a large conduction and valence band offset at an appropriate composition and are expected to be highly-efficient light-emitting material in the green region. However, to our knowledge, there have been very few reports on CdSeTe epilayers. Composition control of II-VI/sub x/VI/sub 1-x/ mixed crystals is difficult because the vapor pressures of VIth elements are high. In this report, the growth conditions were studied for controlling CdSeTe-epilayer composition.
The authors have developed the quoit filter, which is a kind of mathematical morphological filter, for automatic extraction of candidate pathological areas of lung cancer. The method has problems, however, in processi...
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A measurement technique for a flow field in a microchannel was developed using sub micron fluorescent particles. The present study focused on a novel measurement technique so called Spatial Averaged Time-resolved Part...
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A measurement technique for a flow field in a microchannel was developed using sub micron fluorescent particles. The present study focused on a novel measurement technique so called Spatial Averaged Time-resolved Particle Tracking Velocimetry (SAT-PTV) which is able to detect the temporal variation of a fluid flow eliminating the effect of Brownian motion of the sub-micron tracer particles. Velocity vectors of individual tracer particles were averaged within a local small area, instead of temporal aerage, to realize higher time resolution. SAT-PTV method was evaluated by synthetic particle images in both a uniform flow and a flow with linear velocity gradient and the method confirmed the reduction of the measurement errors associated with Brownian motion. The validation of the present technique was performed in a microchannel flow with the time resolution of 37 ms.
This paper describes an interactive locomotion method for a biped humanoid robot. The method consists of two main parts: a pattern generator and a human-robot interface. The human robot interface is used to achieve re...
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This paper describes an interactive locomotion method for a biped humanoid robot. The method consists of two main parts: a pattern generator and a human-robot interface. The human robot interface is used to achieve real-time interactive locomotion. In particular, visual information and voice instructions are employed to determine locomotion parameters such as step length, step direction, and the number of steps. The motion of the lower-limbs is generated by the online pattern generator based on the locomotion parameters. Continuous locomotion experiments are carried out in real time using WABIAN-RV. The experimental results show the feasibility of the proposed interactive locomotion method.
It is important for walking robots such as quadruped robots to have an efficient gait. Since animals and insects are the basic models for most walking robots, their walking patterns are good examples. In this study, t...
It is important for walking robots such as quadruped robots to have an efficient gait. Since animals and insects are the basic models for most walking robots, their walking patterns are good examples. In this study, the walking energy consumption of a quadruped robot is analyzed and compared with natural animal gaits. Genetic algorithms have been applied to obtain the energy-optimal gait when the quadruped robot is walking with a set velocity. In this method, an individual in a population represents the walking pattern of the quadruped robot. The gait (individual) which consumes the least energy is considered to be the best gait (individual) in this study. The energy-optimal gait is analyzed at several walking velocities, since the amount of walking energy consumption changes if the walking velocity of the robot is changed. The results of this study can be used to decide what type of gait should be generated for a quadruped robot as its walking velocity changes.
This paper describes the spectral image measurement of the agricultural products based on the near infrared diffuse reflectance. Spectral image was obtained by a developed measuring system using the model samples and ...
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This paper describes the spectral image measurement of the agricultural products based on the near infrared diffuse reflectance. Spectral image was obtained by a developed measuring system using the model samples and the real apple samples. The correlation among the near infrared images and the chemical or the taste preferences has been studied. This image measurement could offer a new image information server to monitor the growth of agricultural products on the fields. This paper also describes the maturity judgments model based on spectral image information.
We propose a pipelined architecture for an equalizer based on the multilevel modified constant modulus algorithm (MMCMA). We also provide the correction factor that mathematically converts the adaptive equalizer havin...
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We propose a pipelined architecture for an equalizer based on the multilevel modified constant modulus algorithm (MMCMA). We also provide the correction factor that mathematically converts the adaptive equalizer having the proposed architecture into an equivalent non-pipelined conventional MMCMA based equalizer. The proposed architecture uses modules with 6 filter coefficients, resulting in an overall latency of a single sampling period, along the main transmission line. The basic concepts of the proposed architecture is to implement the finite impulse response (FIR) filter and the algorithm portion of the equalizer, such that the critical path of all circuits has three complex multipliers and three adders.
This paper proposes an intelligent diagnosis method for plant machinery using wavelet transform (WT) genetic programming (GP) and possibility theory. The WT is used to extract feature spectra of each machine state fro...
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This paper proposes an intelligent diagnosis method for plant machinery using wavelet transform (WT) genetic programming (GP) and possibility theory. The WT is used to extract feature spectra of each machine state from measured vibration signal for distinguishing faults. Excellent symptom parameters (SP) for detecting fault states are automatically generated by GP. The membership functions of symptom parameters are established using possibility theory for resolving the ambiguous diagnosis problems. The methods proposed in this paper are verified by applying them to the fault diagnosis of gear equipment.
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