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您的检索式：作者名="Weihang Han"
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| 1 | Reinforcement Learning-Based Sensitive Semantic Location Privacy Protection for VANETs显示文摘Location-based services(LBS)in vehicular ad hoc networks(VANETs)must protect users’privacy and address the threat of the exposure of sensitive locations during LBS requests.Users release not only their geographical but also semantic information of the visited places(e.g.,hospital).This sensitive information enables the inference attacker to exploit the users’preferences and life patterns.In this paper we propose a reinforcement learning(RL)based sensitive semantic location privacy protection scheme.This scheme uses the idea of differential privacy to randomize the released vehicle locations and adaptively selects the perturbation policy based on the sensitivity of the semantic location and the attack history.This scheme enables a vehicle to optimize the perturbation policy in terms of the privacy and the quality of service(QoS)loss without being aware of the current inference attack model in a dynamic privacy protection process.To solve the location protection problem with high-dimensional and continuous-valued perturbation policy variables,a deep deterministic policy gradientbased semantic location perturbation scheme(DSLP)is developed.The actor part is used to generate continuous privacy budget and perturbation angle,and the critic part is used to estimate the performance of the policy.Simulations demonstrate the DSLP-based scheme outperforms the benchmark schemes,which increases the privacy,reduces the QoS loss,and increases the utility of the vehicle. | Minghui Min Weihang Wang Liang Xiao Yilin Xiao Zhu Han | 2021 | China Communications2021，18，6： | 3 |
| 2 | Microstructure and Mechanical Properties of Hot Pressed TiB_2-ZrO_2 Composites显示文摘The partially stabilized ZrO_2(PSZ) particles were introduced into TiB_2 ceramics to improve its density and mechanical properties.The results show that the addition of PSZ is very effective not only in bettering the sinterabiiity but also in enhancing the flexural strength and fracture toughness of TiB_2. | Ge Qilu Han Huanqing Liang Xiaoying Wu Wenfang Wu Weihang | 1996 | Journal of Iron and Steel Research(International)1996，3，2： | 2 |
| 3 | High-efficient removal of tetracycline in water via porous magnetic Ce/Fe photocomposite under visible light显示文摘Tetracycline is a typical antibiotic commonly used in various industries which is eco-toxic and quickly causes bacterial resistance.Therefo re,studying the efficient removal of tetracycline is necessary to protect the water environment.Herein,a novel Ce/Fe nanoparticle composite(1CCFO)was prepared by the sol-gel method and its removal effects of tetracycline under visible light were performed.The relationship between physicochemical properties of catalyst and photocatalytic degradation effects of tetracycline was analyzed based on a series of characterizations data such as X-ray diffraction(XRD),Raman spectro scopy,a vibrating sample magnetometer(VSM),scanning electron microscopy(SEM),Brunauer-Emmett-Teller(BET)method,X-ray photoelectron spectroscopy(XPS),and ultraviolet-visible(UV-Vis)spectroscopy.The results show that Ce/Fe photocatalyst possesses a large specific surface area,good visible light response,abundant oxygen vacancies and excellent redox performance,exhibiting good adsorption capacity,remarkable catalytic performance and stability.The optimal conditions for tetracycline removal were explored through orthogonal experiments.About 88%of tetracycline can be photodegraded in 1 h under optimal conditions.The possible decomposition pathways,main reactive oxygen species and suitable mechanism of the photocatalytic system were studied by liquid chromatography-mass spectro metry(LC-MS),an electron spin resonance(ESR)spectrometer and free radical quenching experiments.The results show that 1CCFO has an efficient degradation effect on tetracycline under visible light,which provides a feasible method to improve the performance of 1CCFO. | Weihang Han Jingxuan Shou Yifan Yang Liangchen Chen Luping Zhang Yutong Chen Xuewei Tu Dan Jin Shijie Zhang Yurong Chang Hui Zheng | 2023 | Journal of Rare Earths2023，41，10： | 0 |
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