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This paper presents a novel approach for crowd simulation in complex environments. Our method is based on the continuum model proposed by Treuille et al. [13]. Compared to the original method, our solution is well-suited for complex environments. First, we present an environmental structure and a corresponding discretization scheme that helps us to organize(More)
Simulating crowds in complex environment is fascinating and challenging, however, modeling of the environment is always neglected in the past, which is one of the essential problems in crowd simulation especially for multilayered complex environment. This paper presents a semantic model for representing the complex environment, where the semantic(More)
Our lab has previously reported on novel board-level readout electronics for an 8×8 silicon photomultiplier (SiPM) array featuring row/column summation technique to reduce the hardware requirements for signal processing. We are taking the next step by implementing a monolithic CMOS chip which is based on the row-column architecture. In addition, this paper(More)
Visualization of large-scale virtual crowds is ubiquitous in many applications of computer graphics. For reasons of efficiency in modeling, animating and rendering, it is difficult to populate scenes with a large number of individually animated virtual characters in real-time applications. In this paper, we present an effective and readily usable solution(More)
Approximate computing is a promising approach for low power IC design and has recently received considerable research attention. To accommodate dynamic levels of approximation, a few accuracy configurable adder designs have been developed in the past. However, these designs tend to incur large area overheads as they rely on either redundant computing or(More)
Understanding user intent is important for interactive and personalized information retrieval. For ambiguous queries, user intent space actually forms a hierarchical top down architecture: from senses to subtopics, rather than a flat structure. This paper presents the CNU system in NTCIR-11 IMine task. Our method constructs the hierarchical structure by(More)
This paper presents a hybrid approach based on the continuum model proposed by Treuille et al.[5]. Compared to the original method, our solution is well suited for complex environment. We first present an environment structure and a corresponding discretization scheme that help us to organize and simulate crowds in large-scale scenarios. Second, additional(More)
Approximate computing has applications in areas such as image processing, neural computation, distributed systems, and real-time systems, where the results may be acceptable in the presence of controlled levels of error. The promise of approximate computing is in its ability to render just enough performance to meet quality constraints. However, going from(More)
This paper gave an informational consideration on the foundation of institution. Through codification any information was turned into knowledge, which could be learned and thus decoded. Institution could be seen as a codification system, which codified numerous information into limited classifications. After an institution was turned into common knowledge,(More)