Modeling and simulating of pedestrians movement have attracted much attention because they provide reproducible results, which are important to evaluate evacuation facilities and risks. It is well accepted the movemen...
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Modeling and simulating of pedestrians movement have attracted much attention because they provide reproducible results, which are important to evaluate evacuation facilities and risks. It is well accepted the movement of individuals is affected by interactions with others and the environment. However, factors affecting the interactions are not fully studied and experiments are needed. This paper studies the impact of speeds on how pedestrians respond to obstacles, i.e., avoid collisions. Experiments were conducted in which participants were instructed to perform collision avoidance tasks with obstacles at two levels of both normal and high speeds. The avoidance tasks include avoiding collisions by stopping at or bypassing obstacles. Trajectories of participants were extracted from video recordings. How speed affects (1) the timing and magnitude of the deceleration of participants stopping at obstacles; (2) and the minimum distance to obstacles for participants bypassing obstacles were studied. It is concluded that speed significantly affects participants' collision avoidance: compared with participants at the normal speed, participants at the high speed start to stop further away from obstacles with higher deceleration when stopping at obstacles; and they need more space when bypassing obstacles. Results of the experiments are now being used to refine pedestrian models.
In this paper, we propose HybridStore, a novel efficient resource-aware data management system for flash-based sensor devices to store and query sensor data streams. HybridStore has three key features. Firstly, it tak...
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We describe a new methodology and environment for Cyber Physical systems (CPS) synthesis and demonstrate it in the design of microrobots viewed as CPS. Various types of microrobots have been developed in recent years ...
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The primary objective of this paper is to detect and identify breast cancer tumor from the scattered field signal. It is known that the scattered electromagnetic fields from a dispersive media contain information abou...
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ISBN:
(纸本)9781479935413
The primary objective of this paper is to detect and identify breast cancer tumor from the scattered field signal. It is known that the scattered electromagnetic fields from a dispersive media contain information about the resonance frequencies of tissues as complex poles or complex natural resonances. These poles for cancerous tissues depend on the tumor shape, depth and size. The computed complex poles are used to identify the existence of a malignancy, shape, size and depth.
The article analyzes consecutive phases of time series modelling with Fuzzy Cognitive Maps. The subject of interest are features determining models of good quality. First, we present the procedure: design phase, learn...
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The article analyzes consecutive phases of time series modelling with Fuzzy Cognitive Maps. The subject of interest are features determining models of good quality. First, we present the procedure: design phase, learning phase, and in the end - application. The discussion is illustrated with experiments on two synthetic time series. We have shown that the design phase determines qualitative and quantitative effectiveness of modelling. We have addressed effects of misdesigns: too large, too small or unfit at all maps on modelling quality.
In this paper, we propose the algorithm that used to identify car license plate that the capture images come in degraded version by combining a PWS filtering technique with a 2DPCA algorithm. From experiment results, ...
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Classification, especially in the case of a small space of features, is prone to errors. This is more important when it is costly to gain data from samples to calculate the values for futures. We study what effect lim...
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Classification, especially in the case of a small space of features, is prone to errors. This is more important when it is costly to gain data from samples to calculate the values for futures. We study what effect limiting the space of features has on the performance of built classifiers and how the quality of classification can be improved by rejecting misclassified elements.
We provide a brief review of recent progress in TriPleX™ Si3N4 waveguide technology for integrated photonic signal processors, with applications in microwave photonic and optical communication systems. We discuss the ...
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With the advent of low-cost solar photovoltaic (PV) panels and our ability to generate, store, and use electrical energy locally without the need for long-range transmission, the world is about to witness transformati...
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With the advent of low-cost solar photovoltaic (PV) panels and our ability to generate, store, and use electrical energy locally without the need for long-range transmission, the world is about to witness transformational changes in electricity infrastructures. The use of DC electricity enhances systemwide efficiency. DC microgrids and nanogrids powered by solar PV systems and gigawatt batteries for electricity storage can sustainably power the needs of all human beings equitably and empower every individual. Ultralarge-scale manufacturing of PV systems and batteries, a vertically integrated business model, and a targeted monetary policy of quantitative easing can rapidly power all human activities.
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