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Aquatic debris monitoring is of great importance to human health, aquatic habitats and water transport. In this paper, we first introduce the prototype of an aquatic sensor node equipped with an embedded camera sensor. Based on this sensing platform, we propose a fast and accurate debris detection algorithm. Our method is specifically designed based on(More)
Measurements of nitrous acid (HONO) and nitrogen dioxide (NO2) in Beijing City have been performed by means of a developed differential optical absorption spectroscopy (DOAS) system based on photodiode array (PDA), during the autumn of 2004. HONO and NO2 were simultaneously identified by their characteristic absorption bands in the spectral region between(More)
This paper presents a novel approach to calculate magnetic inductance with fast-computing magnetic field model, referred here as extended distributed multi-pole (eDMP) model. Mutual inductance has been exploited in plenty of applications, including position/orientation sensing and path tracking. Numerical methods have been widely employed for design and(More)
This paper presents a novel method to calculate magnetic inductance with a fast-computing magnetic field model referred to as the extended distributed multi-pole (eDMP) model. The concept of mutual inductance has been widely applied for position/orientation tracking systems and applications, yet it is still challenging due to the high demands in robust(More)
With the continuous development of brain imaging technology, it has become a hot area of neuroscience and information technology to research the human emotion changes, cognitive status and psychiatric disorders. In recent years, any smart device can be used as a terminal sensor in the Internet of Things for information interaction. It will be the new(More)
Cartographic Knowledge Representation and Reasoning Tan Xiao, Wu Fang, Qian Hai-zhong, Lin yun,Chen yong Institute of Surveying and Mapping, Zheng Zhou, China Abstract River network is one of the most important distributing features group. In this paper, the knowledge in river network automatic generalization include structural river network knowledge,(More)