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Yaning Liu,Zhen Xiao,Wenkui Zhang,Hui Huang,Jun Zhang,Yongping Gan,Xinping He,Bingjia Wang,Yi Han,Yang Xia 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.107 No.-
Carbon based conductive polymer composites as electrothermal materials offers many merits in highflexibility, light weight, low cost, excellent processability, and rapid heating ability, however, the maximumworking temperature is usually lower than 200 C, hampering seriously the medium–high temperatureapplications. Herein, a series of rationally designed glass fiber reinforced graphite/carbonblack@polyethersulfone (G/CB@PES) composites are developed to significantly promote the maximumworking temperature over 300 C. To be specific, the introduced glass fibers acted as rigid skeleton greatlyenhance the mechanical strength of PES polymer matrix, thereby offering robust structural stability inhigh temperature working scenario. Meanwhile, glass fibers not only endow G/CB@PES composite withexcellent flame-retardant ability, but also provide rapid thermal conduction channels to reduce the riskof heat accumulation and overheating. More importantly, glass fiber reinforced G/CB@PES composites aselectrothermal film heaters exhibit superior electric heating performance in terms of fast temperatureresponsiveness, high electric heating efficiency, stable maximum working temperatures, and high electricpower efficiency under the relatively low applied voltages of 3–21 V. This work provides new insights onthe innovative design and facile fabrication of high working temperature electrothermal film heaters inemerging applications.
Numerical simulation and parameter study of ejector in casing gas recovery system
Yaning Zhang,Junyou Zhao,Zhongping Liu,Peng Zuo,Afimbo Reuben Kwabena 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.6
In order to recover casing gas efficiently and safely, a new scheme is proposed to recover casing gas by using an ejector. The influence of the nozzle diameter and the distance from nozzle to throat on the performance of the ejector under different working conditions is studied. The results show that when the nozzle diameter is constant, the inspiratory capacity increases with the increase of water pressure. Compared three nozzles with different diameters, the inspiratory capacity and water flow were approximately linear. Under different working fluid pressures, as the distance from nozzle to throat increases, the ejection ratio of the ejector first increases and then decreases, and there is an optimal distance. In the field test, the gas flow rate of the recovered casing is about 35.27 m 3 /h.
Shouke Zhang,Yaning Liu,Jinping Shu,Wei Zhang,Yabo Zhang,Haojie Wang 한국응용곤충학회 2019 Journal of Asia-Pacific Entomology Vol.22 No.1
Wireworms are recognized as economically important oligophagous pests of Phyllostachys bamboo shoot, which have caused a huge economic loss in South China. Studies of bamboo shoot wireworm control and management were seriously hampered by the lack of reliable identification of larvae. DNA barcoding has been proved to be an important and useful tool in species identification of morphologically cryptic insects. Accurate knowledge of damage-causing species and the phylogenic structure of elaterids will provide insight into their sustainable and effective management. Here, we use interspecific variation in COI and EF1-a as a robust method of identification and consider the intra- and interspecific genetic variation of bamboo wireworms. This approach has revealed that three Melanotus larvae occurred in Phyllostachys forest. The dominance of one species in different sampling location suggests there maybe underlying difference in habit and host plant preference. These data provide a starting point for determining the distribution of wireworm species feeding on bamboo shoots in South China. The inclusions would further aid identification of wireworm species and relationships between certain wireworm species with specific environments.
Anomaly Detection in Medical Wireless Sensor Networks
Osman Salem,Yaning Liu,Ahmed Mehaoua 한국정보과학회 2013 Journal of Computing Science and Engineering Vol.7 No.4
In this paper, we propose a new framework for anomaly detection in medical wireless sensor networks, which are used for remote monitoring of patient vital signs. The proposed framework performs sequential data analysis on a mini gateway used as a base station to detect abnormal changes and to cope with unreliable measurements in collected data without prior knowledge of anomalous events or normal data patterns. The proposed approach is based on the Mahalanobis distance for spatial analysis, and a kernel density estimator for the identification of abnormal temporal patterns. Our main objective is to distinguish between faulty measurements and clinical emergencies in order to reduce false alarms triggered by faulty measurements or ill-behaved sensors. Our experimental results on both real and synthetic medical datasets show that the proposed approach can achieve good detection accuracy with a low false alarm rate (less than 5.5%).
Anomaly Detection in Medical Wireless Sensor Networks
Salem, Osman,Liu, Yaning,Mehaoua, Ahmed Korean Institute of Information Scientists and Eng 2013 Journal of Computing Science and Engineering Vol.7 No.4
In this paper, we propose a new framework for anomaly detection in medical wireless sensor networks, which are used for remote monitoring of patient vital signs. The proposed framework performs sequential data analysis on a mini gateway used as a base station to detect abnormal changes and to cope with unreliable measurements in collected data without prior knowledge of anomalous events or normal data patterns. The proposed approach is based on the Mahalanobis distance for spatial analysis, and a kernel density estimator for the identification of abnormal temporal patterns. Our main objective is to distinguish between faulty measurements and clinical emergencies in order to reduce false alarms triggered by faulty measurements or ill-behaved sensors. Our experimental results on both real and synthetic medical datasets show that the proposed approach can achieve good detection accuracy with a low false alarm rate (less than 5.5%).