Three-dimensional stacked Wide I/O DRAMs have been proposed as a promising solution to overcome the pin-limited memory performance growth, the power vs. bandwidth dilemma and the Memory Wall. This new DRAM architectur...
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This study presents a pilot study on the potential future use of aerial sound sources utilizing parametric array loudspeakers (PALs) in drones via fifth-generation (5G) networks. Integrating superdirectional loudspeak...
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In this study, we demonstrated light shift detection in a running atomic clock using the multi-photodetection method. This method enables the observation of atomic resonances with different intensities using the inten...
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Transforming knowledge between connectionist and symbolic machine learning approaches is not a uniform task and there is no general recipe for performing it. Irrespective of the way the transformation of knowledge, th...
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Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised inf...
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Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised information content is necessary for efficient training. In this paper, an approach for optimising sensor configurations for predicting thermal deformations is presented. From initially 300 temperature sensors, the number of required sensors was significantly reduced while maintaining predictive accuracy. Furthermore, a pattern for sensor placement was identified, providing the potential for an efficient sensor layout that enables cost-effective data acquisition and improved monitoring of machining and wear progression of machine tool components.
We have developed an expert system comprising a self-aware framework for resource-efficient and accurate data transmission within a low-power lossy sensor network (LLN) deployed for indoor monitoring. We derived both ...
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Modeling and numerical simulation techniques for performing a detailed finite element analysis of a composite beam are presented. The finite element analysis is performed using E-Simulator, which is under development ...
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Modeling and numerical simulation techniques for performing a detailed finite element analysis of a composite beam are presented. The finite element analysis is performed using E-Simulator, which is under development at the Hyogo Earthquake engineering Research Center (E-Defense) of the National Research Institute for Earth Science and Disaster Prevention (NIED). A piecewise linear isotropic-kinematic hardening law is used for the steel material, and heuristic and implicit rules are incorporated to simulate its complex cyclic elastoplastic behavior. The extended Drucker-Prager model is used for the concrete material. The steel beam, steel column and reinforced concrete slab are discretized into solid elements. The wire mesh consisting of steel bars in the slab is also modeled using solid elements and rigid beams are used for the stud bolts. Detailed analyses are carried out for both a steel beam and a composite beam subjected to static cyclic loading. Good agreement is found with experimental results such as strength degradation due to local buckling of the flange, and asymmetric behaviors resulting from contact between the slab and the column.
In this paper, we propose a novel and flexible codeword assignment technique for a Code Division Multiple Access (CDMA) based Network-on-Chip (NoC). This approach allows bandwidth to be reallocated to ports dynamicall...
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[...]the rapid development of machine learning technology, such as deep learning, has been proved to be able to greatly improve the visual perception ability.[...]the learning-based vision perception can further enhan...
[...]the rapid development of machine learning technology, such as deep learning, has been proved to be able to greatly improve the visual perception ability.
[...]the learning-based vision perception can further enhance the ability of industrial robots, which enables their fast deployment and high autonomy.
Motion blur on images captured while it moves is efficiently handled and the region of interest for retrieving a book’s information is detected.
[...]six parallel cameras enable Pars to check books and decide moving paths.
In this review, the authors investigate papers published in the past 15 years and emphasize contact-based shape sensors.
[...]fiber-optics-based shape sensing methodology is discussed for comparison purpose.
In this paper, we develop multi-level signaling schemes for on-chip interconnects in order to achieve energy-efficient communication. The methodology uses both bus multiplexing and low-swing signaling characteristics,...
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