349 research outputs found

    The collision avoidance and the controllability for nn bodies in dimension one

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    We present a method of design of control systems for nn bodies in the real line R1\Bbb R^1 and on the unit circle S1 S^1, to be collision-free and controllable. The problem reduces to designing a control-affine system in Rn\Bbb R^n and in nn-torus Tn,T^n, respectively, that avoids certain obstacles. We prove the controllability of the system by showing that the vector fields that define the control-affine system, together with their brackets of first order, span the whole tangent space of the state space, and then by applying the Rashevsky-Chow theorem

    Pressure-dependent Schottky barrier at the metal-nanotube contact

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    We carry out first-principles density-functional calculations to investigate the electronic structure of the gold-carbon nanotube contact. It is found that a pressure applied on the gold-nanotube contact shifts the Fermi level from the valence edge to the conduction edge of the carbon nanotube. This can explain the n -type transport behavior frequently observed in the nanotube field-effect transistor using the gold as electrodes. An atomistic model is proposed for a possible origin of the pressure when the nanotube is embedded in the gold electrode.open101

    An Interacting Multiple Model Approach for Target Intent Estimation at Urban Intersection for Application to Automated Driving Vehicle

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    Research shows that urban intersections are a hotspot for traffic accidents which cause major human injuries. Predicting turning, passing, and stop maneuvers against surrounding vehicles is considered to be fundamental for advanced driver assistance systems (ADAS), or automated driving systems in urban intersections. In order to estimate the target intent in such situations, an interacting multiple model (IMM)-based intersection-target-intent estimation algorithm is proposed. A driver model is developed to represent the driverā€™s maneuvering on the intersection using an IMM-based target intent classification algorithm. The performance of the intersection-target-intent estimation algorithm is examined through simulation studies. It is demonstrated that the intention of a target vehicle is successfully predicted based on observations at an individual intersection by proposed algorithms. Document type: Articl

    Rapid foreign object detection system on seaweed using vnir hyperspectral imaging

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    The consumption of seaweed is increasing year by year worldwide. Therefore, the foreign object inspection of seaweed is becoming increasingly important. Seaweed is mixed with various materials such as laver and sargassum fusiforme. So it has various colors even in the same seaweed. In addition, the surface is uneven and greasy, causing diffuse reflections frequently. For these reasons, it is difficult to detect foreign objects in seaweed, so the accuracy of conventional foreign object detectors used in real manufacturing sites is less than 80%. Supporting realā€time inspection should also be considered when inspecting foreign objects. Since seaweed requires mass production, rapid inspection is essential. However, hyperspectral imaging techniques are generally not suitable for highā€speed inspection. In this study, we overcome this limitation by using dimensionality reduction and using simplified operations. For accuracy improvement, the proposed algorithm is carried out in 2 stages. Firstly, the subtraction method is used to clearly distinguish seaweed and conveyor belts, and also detect some relatively easy to detect foreign objects. Secondly, a standardization inspection is performed based on the result of the subtraction method. During this process, the proposed scheme adopts simplified and burdenless calculations such as subtraction, division, and oneā€byā€one matching, which achieves both accuracy and low latency performance. In the experiment to evaluate the performance, 60 normal seaweeds and 60 seaweeds containing foreign objects were used, and the accuracy of the proposed algorithm is 95%. Finally, by implementing the proposed algorithm as a foreign object detection platform, it was confirmed that realā€time operation in rapid inspection was possible, and the possibility of deployment in real manufacturing sites was confirmed. Ā© 2021 by the authors. Licensee MDPI, Basel, Switzerland.1

    Unintended Negative Effects of the Legitimacy-Seeking Behavior of Social Enterprises on Employee Attitudes

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    In an emerging field such as social enterprise, it is important for an organization to secure legitimacy to obtain resources and sustain its business. Specifically, when a government distributing subsidies does not have adequate information to decide which organization is trustworthy, it is the legitimacy-seeking activities of a social enterprise that determines who receives a subsidy; this, in turn, decides which organization will survive. One of the most effective ways to gain legitimacy is to explicitly emphasize in the public promotion that the organization devotes to its social mission. In the case of Work Integration Social Enterprises (WISEs), an organization emphasizes its social employment of the disadvantaged individuals. However, we argue that social enterprisesā€™ public promotion that emphasizes social employment can lower the expected wage, job satisfaction, and organizational commitment of the employees who are hired due to their disadvantaged social status. This is because such obvious promotional messages makes the employees more keenly aware of their disadvantaged status; as a result, this reinforces their self-prejudice that they are not competitive enough in the labor market. We test our hypotheses in the context of South Korean WISEs and found general support for our arguments

    Accretion Properties of High- and Low-Excitation Young Radio Galaxies

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    Young radio galaxies (YRGs) provide an ideal laboratory to explore the connection between accretion disk and radio jet thanks to their recent jet formation. We investigate the relationship between the emission-line properties, the black hole accretion rate, and the radio properties using a sample of 34 low-redshift (z < 0.4) YRGs. We classify YRGs as high-excitation galaxies (HEGs) and low-excitation galaxies (LEGs) based on the flux ratio of high-ionization to low-ionization emission lines. Using the H{\alpha} luminosities as a proxy of accretion rate, we find that HEGs in YRGs have \sim1 dex higher Eddington ratios than LEGs in YRGs, suggesting that HEGs have higher mass accretion rate or higher radiative efficiency than LEGs. In agreement with previous studies, we find that the luminosities of emission lines, in particular H{\alpha}, are correlated with radio core luminosity, suggesting that accretion and young radio activities are fundamentally connected.Comment: 14 pages, 12 figures, 5 tables. Accepted for publication in Ap
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