Obtaining local and global planarities is one of the prime criteria in dielectric and metal planarisations. Although chemical mechanical planarisation (CMP) helps us achieve these criteria in constant pattern density ...
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This paper deals with understanding referring expressions involving perceptual grouping. The ability to use referring expressions is important for conversational agents aimed at real-world interaction. We conducted a ...
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This paper deals with understanding referring expressions involving perceptual grouping. The ability to use referring expressions is important for conversational agents aimed at real-world interaction. We conducted a psychological experiment to collect referring expressions involving perceptual grouping. A set of methods to identify referents based on the collected data are presented. We were able to identify 78.8% of the referents in the collected expressions
This paper examines MPEG-4 coding efficiency for interlaced and progressively scanned video data recorded during remote patient monitoring. Experiments are performed using both interlaced and progressive coding method...
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This paper examines MPEG-4 coding efficiency for interlaced and progressively scanned video data recorded during remote patient monitoring. Experiments are performed using both interlaced and progressive coding methods to compress interlaced, deinterlaced and progressively scanned video sequences at different bit rates. Our results show that progressively scanned video outperforms interlaced video in both coding efficiency and video quality. We also found that the use of a deinterlacing algorithm improves video coding performance. In addition, we found that interlaced or progressively scanned video data can be compressed using either progressive or interlaced coding algorithms without significant difference in performance.
This study examined the effects of synchrony and the number of cues on the person perception process in computer-mediated communication. One hundred and forty-two participants in groups of three or four engaged in col...
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Advanced driver assistance systems are designed to make driving easier that is, to alleviate the driver's workload, and to increase traffic safety. However, traffic safety is affected by negative behavioral adapta...
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Advanced driver assistance systems are designed to make driving easier that is, to alleviate the driver's workload, and to increase traffic safety. However, traffic safety is affected by negative behavioral adaptation, meaning that drivers tend to increase speed and pay less attention to driving when supported by an advanced assistance system. We relate behavioral adaptation to reinforcement learning at a subconscious level, and propose that driver assistance is dynamically varied within predetermined safety limits. The aim of employing a dynamic assistance policy is to prevent the driver from noticing a constant improvement in vehicle handling. We conclude by describing ongoing work for empirically evaluating an improved lane departure warning system that uses a dynamic assistance policy.
This paper presents a neural network ensemble creation method where component networks are determined automatically by sequential training. Only previously misclassified patterns by existing component networks are use...
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This paper presents a neural network ensemble creation method where component networks are determined automatically by sequential training. Only previously misclassified patterns by existing component networks are used for training coming component networks sequentially. This training strategy forces coming component networks to work only on the unsolved portion of the input space. As a result coming component networks could easily maintain diversity with existing component networks in the ensemble. Finally all component networks are trained simultaneously, while maintaining error interaction among them through a penalty function. This new method has been tested extensively on several benchmark problems of machine learning and neural networks. Experimental result shows that it can produce compact ensemble structure that exhibits good generalization ability
A humanoid robot is a real-time system controlled by a complex computer system that requires huge computing power for perception and planning, high energy efficiency for self-contained control, reduction of physical d...
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A humanoid robot is a real-time system controlled by a complex computer system that requires huge computing power for perception and planning, high energy efficiency for self-contained control, reduction of physical dimensions, and high reliability. This paper proposes a distributed architecture for the humanoid robot control substituting conventional centralized control architectures. In addition to the parallelism that provides scalable computing power at low clock namely at low energy, the distributed architecture contributes to reliable operations by replacing many fragile analog signal wires with a digital network with redundant routes. In order to accomplish a real-time control over the network, RMTP (responsive multi-threaded processor) for parallel and real-time computation has been newly designed. RMTP can synchronize more than thirty nodes distributed over a robot body in less than 5 micro second with a real time network called the responsive link (RL). Architectures of RMTP, RL and Linux-based real-time system software are presented.
Recently, researches and developments for measuring and modeling of human body are taking much attention. Our aim is to capture accurate shape of human foot, using 2D images acquired by multiple cameras, which can cap...
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Recently, researches and developments for measuring and modeling of human body are taking much attention. Our aim is to capture accurate shape of human foot, using 2D images acquired by multiple cameras, which can capture dynamic behavior of the object. In this paper, 3D active shape models is used for accurate reconstruction of surface shape of human foot. We apply principal component analysis (PCA) of human shape database, so that we can represent human's foot shape by approximately 12 principal component shapes. Because of the reduction of dimensions for representing the object shape, we can efficiently recover the object shape from multi-camera images, even though the object shape is partially occluded in some of input views. To demonstrate the proposed method, two kinds of experiments are presented: high accuracy reconstruction of human foot in a virtual reality environment with CG multi-camera images and in real world with eight CCD cameras. In those experiments, the recovered shape error with our method is around 2mm, while the error is around 4mm with volume intersection method.
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