Recently, the Internet of Things （loT） has attracted more and more attention. Multimedia sensor network plays an important role in the IoT, and audio event detection in the multimedia sensor net- works is one of the...Recently, the Internet of Things （loT） has attracted more and more attention. Multimedia sensor network plays an important role in the IoT, and audio event detection in the multimedia sensor net- works is one of the most important applications for the Internet of Things. In practice, it is hard to get enough real-world samples to generate the classifi- ers for some special audio events （e.g., car-crash- ing in the smart traffic system）. In this paper, we introduce a TrAdaBoost-based method to solve the above problem. By using the proposed approach, we can train a strong classifier by using only a tiny amount of real-world data and a large number of more easily collected samples （e.g., collected from TV programs）, even when the real-world data is not sufficient to train a model alone. We deploy this ap- proach in a smart traffic system to evaluate its per- formance, and the experiment evaluations demonstrate that our method can achieve satisfying results.展开更多
Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrl...Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrlic occurs is calculated. Epidemiological processes are analyzed when the infection probability is larger than the percolation threshold. Although different epidemiological processes occur on the underlying tree topology, the number of infected nodes increases exponentially as the infection spreads. The uniform immunization procedure is conducted in the homogeneous small-world network. The infection still extends exponentially Mthough the immunization effectively reduces the prevalence speed.展开更多
A novel fluorescence ＂turnon＂ probe for CH^2＋ detection has been designed based on a Cu^2＋ triggered spirolactam ringopening reaction. The synthetic probe is a doubleresponsive fluorescent and colorimetric Cu^2＋s...A novel fluorescence ＂turnon＂ probe for CH^2＋ detection has been designed based on a Cu^2＋ triggered spirolactam ringopening reaction. The synthetic probe is a doubleresponsive fluorescent and colorimetric Cu^2＋specific sensor. In aqueous solution, it exhibits high selectivity and excellent sensitivity. With a significant color change visible to the naked eye at the concentration of 3 I.tM （ca. 0.19 mg/L）, about one magnitude lower than the WHO （World Health Organization） recommended level （2.0 mg/L） for Cu^2＋ions in drinking water, the probe could be used to monitor Cu^2＋ ions in drinking water.展开更多
The development of sensors for selective detection of cyanide ion(CN^-) is an important mission to accomplish because of the versatility and toxicity of CN^-. In the present work, an "ensemble"-based colorim...The development of sensors for selective detection of cyanide ion(CN^-) is an important mission to accomplish because of the versatility and toxicity of CN^-. In the present work, an "ensemble"-based colorimetric and fluorescent sensor(L2-Zn^(2+)) for CN^-ion has been developed. The addition of cyanide ions removed Zn^(2+) from the ensemble(L2-Zn^(2+)) in aqueous medium, resulting in a color change of the solution from red to buff and a "turn-on" fluorescent response. Also, the sensitivity of both the fluorescenceand colorimetric-based assay is below the maximum allowable level of cyanide ions in drinking water set by the World Health Organization. In addition, test strips, which served as convenient and efficient CN^- test kits, were fabricated based on the sensor.Notably, the selective detection of cyanide with L2-Zn^(2+) for practical application was also performed in sprouting potatoes.展开更多
基金supported by the National Natural Science Foundation of China(No.60821001)the National Basic Research Program of China(No.2007CB311203)
文摘Recently, the Internet of Things （loT） has attracted more and more attention. Multimedia sensor network plays an important role in the IoT, and audio event detection in the multimedia sensor net- works is one of the most important applications for the Internet of Things. In practice, it is hard to get enough real-world samples to generate the classifi- ers for some special audio events （e.g., car-crash- ing in the smart traffic system）. In this paper, we introduce a TrAdaBoost-based method to solve the above problem. By using the proposed approach, we can train a strong classifier by using only a tiny amount of real-world data and a large number of more easily collected samples （e.g., collected from TV programs）, even when the real-world data is not sufficient to train a model alone. We deploy this ap- proach in a smart traffic system to evaluate its per- formance, and the experiment evaluations demonstrate that our method can achieve satisfying results.
基金supported by the National Natural Science Foundation of China under Grant No.61203144the General Financial Grant from the China Postdoctoral Science Foundation under Grant No.2013M540869the Open Fund of Guangdong Provincial Digital Signal and Image Processing Technologies Key Laboratory under Grant No.2013GDDSIPL-06
文摘Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrlic occurs is calculated. Epidemiological processes are analyzed when the infection probability is larger than the percolation threshold. Although different epidemiological processes occur on the underlying tree topology, the number of infected nodes increases exponentially as the infection spreads. The uniform immunization procedure is conducted in the homogeneous small-world network. The infection still extends exponentially Mthough the immunization effectively reduces the prevalence speed.
基金supported in part by the National Natural Science Foundation of China (20921063,20877090 & 20872172)the National High Technology Research and Development Program of China (2007AA06A407)
文摘A novel fluorescence ＂turnon＂ probe for CH^2＋ detection has been designed based on a Cu^2＋ triggered spirolactam ringopening reaction. The synthetic probe is a doubleresponsive fluorescent and colorimetric Cu^2＋specific sensor. In aqueous solution, it exhibits high selectivity and excellent sensitivity. With a significant color change visible to the naked eye at the concentration of 3 I.tM （ca. 0.19 mg/L）, about one magnitude lower than the WHO （World Health Organization） recommended level （2.0 mg/L） for Cu^2＋ions in drinking water, the probe could be used to monitor Cu^2＋ ions in drinking water.
基金supported by the National Natural Science Foundation of China(21662031,21661028,21574104,21262032)the Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT 15R56)
文摘The development of sensors for selective detection of cyanide ion(CN^-) is an important mission to accomplish because of the versatility and toxicity of CN^-. In the present work, an "ensemble"-based colorimetric and fluorescent sensor(L2-Zn^(2+)) for CN^-ion has been developed. The addition of cyanide ions removed Zn^(2+) from the ensemble(L2-Zn^(2+)) in aqueous medium, resulting in a color change of the solution from red to buff and a "turn-on" fluorescent response. Also, the sensitivity of both the fluorescenceand colorimetric-based assay is below the maximum allowable level of cyanide ions in drinking water set by the World Health Organization. In addition, test strips, which served as convenient and efficient CN^- test kits, were fabricated based on the sensor.Notably, the selective detection of cyanide with L2-Zn^(2+) for practical application was also performed in sprouting potatoes.
