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Hadal trenches are considered to act as depo-centers for organic material at the trench axis and host unique and elevated biomasses of living organisms as compared to adjacent abyssal plains. To explore the diagenetic activity in hadal trench environments we quantified in situ benthic O2 consumption rates and sediment characteristics from the trench axis of two contrasting trench systems in the Pacific...
We report thermal effects on carrier dynamics in graphene revealed by terahertz spectroscopy. We attribute our observations to extreme sensitivity of carrier density and mobility to environmental changes.
Terahertz field-induced transmission enhancement in monolayer epitaxial graphene is observed with increasing terahertz field. Photoexcitation leads to further transmission enhancement that is found to be less for the higher terahertz field amplitudes.
We report temperature dependence and thermal hysteresis behavior of terahertz transmission through photoexcited graphene. We vary the temperature between room temperature and 1800°C, and use the optical-pump/terahertz-probe differential transmission technique.
We report nonlinear terahertz effects in monolayer graphene using intense few-cycle THz pulses. We observe enhancement in the THz transmission through graphene when we increase the THz electric field. Following photo-excitation, we observed reduction in the THz transmission. This photo-induced reduction in the THz transmission is found to decrease when we increase the THz electric field.
A wide range wavelength and repetition rate tunable tens of GHz sub-picosecond pulse source is demonstrated based on optical modulators. A wavelength tunable range of 1530–1575 nm and a repetition rate tunable range of 18–26 GHz were achieved.
Resource reduction design techniques play an important role to implement large-scale FPGA-based accelerator systems in floating point applications since available resources on FPGAs are limited. This paper proposes a dataflow graph classification method which makes groups of graphs based on their similarity in order to bring out efficient graph combining. Aiming at finding effective parameters for...
This paper presents infinite latent process decomposition (iLPD), a new microarray analysis method, as an extension of latent process decomposition. Our method assumes an infinite number of latent processes. Further, our new collapsed variational Bayesian inference improves the inference proposed in in the treatment of Dirichlet hyperparameters. We also give the results of the comparison experiment.
Constituent technology of a driver monitor system using information of a driver's psychosomatic states is expected to create driver's states adaptive drive supporting system for the reduction of traffic accidents. In this study we identified a driver's distraction as one of major psychosomatic states which may result in a traffic accident by using Internet based survey on a questionnaire basis. Then...
Most of the traffic accidents have been caused by driver's inattention. Therefore, driver monitoring is one of the most important challenges in order to prevent traffic accidents. Some studies for evaluating mental workload during driving have been reported; however driver's mental state should be estimated quantitatively for the future. This paper proposes an estimation method of driver's mental...
Driver states adaptive drive supporting system is highly expected in use for the reduction of the number of traffic accidents. This study aimed at creating a constituent technology for detecting driver's cognitive distraction, which may be one of major factors of driver's psychosomatic states just before a traffic accident. We reproduced driver's cognitive distraction by means of imposing cognitive...
Mathematical modeling and simulation of cellular systems are important processes in modern life science, to understand the behavior of life as a system. Kinetic model of a biochemical pathways is described as an ordinary differential system, consists of a variety of equations to represent velocity of corresponding chemical reactions. This paper describes a modular and automated approach to synthesize...
This paper points to a component technology of driver monitoring system which has not been explored yet, namely, automated camera calibration. It proposes that the calibration should not be left to be done manually, as is the case now, but should be automated. In particular, this paper describes an algorithm to automatically update the camera parameters of the in-vehicle driver monitoring camera system...
Human cognitive state monitoring is quite important for active safety which is a technology to prevent accidents. While driving, cognitive distraction like conversation or thoughts unrelated to driving has potential hazards. Identification of cognitive distraction has already been reported in literature. However, multi-class identification of cognitive distraction has yet to be reported. This paper...
In summary, we carefully investigated the dependence of the properties of an EUV emission driven by a sub-10-fs laser pulse on the CEP. We found that a CEP-sensitive structure appeared in a broad wavelength range from the ldquoplateaurdquo to the ldquocut-offrdquo region. An oscillation structure appears in the ldquocut-offrdquo region, and the emission spectra exhibit complicated fine structure near...
Effects of driver's states adaptive driving support systems is highly expected for the prevention of traffic accidents. In order to create this constituent technology, detecting driver's psychosomatic states which occurs just before a traffic accident is essential. Therefore driver's distraction is thought as one of important factors. This study focused on detecting driver's cognitive distraction,...
This paper presented a novel cuffless and non-invasive technique of Blood Pressure (BP) estimation with a pattern recognition method by using a photoplethysmograph (PPG) sensor instead of a cuff. Error-correcting output coding (ECOC) method was adopted as a multi-classifier machine based on an aggregation of general binary classifiers. AdaBoost was applied as binary classifier machine. 368 volunteers...
This paper presents a novel method that uses eyelid closure and heart rate variability to estimate the driver's drowsiness level. Laboratory experiments were conducted by using a proprietary driving simulator, which induced drowsiness among the test drivers. The purposes of these experiments were to obtain the electrocardiogram (ECG) and the eye-blink video sequences. Also the drivers were monitored...
One of the obvious advantages of FPGA-based reconfigurable computing is customizability of a tradeoff point between performance and hardware costs. However, this tradeoff has rarely been discussed in a whole application level, which is the most important view for application users. This paper presents empirical evaluation of a hardware module sharing technique which can shift a tradeoff point of area...
In this paper, we present a comparison study about implementations of phase correlation function using GPUs, ASIC and FPGAs. The Phase Only Correlation(POC) method demonstrates high robustness and subpixel accuracy in the pattern matching and the image registration. However, there is a disadvantage in computational speed because of the calculation of 2D-FFT etc. We have proposed a novel approach to...
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