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| 1 | Effect of ZSM-5 zeolite morphology on the catalytic performance of the alkylation of toluene with methanol显示文摘A series of ZSM-5 zeolites, with the morphologies of sphere, sphere with cubic particles on the surface, and cubic particles, were synthesized by hydrothermal method using n-butylamine as the template, assisted by the addition of NaCl and crystal seed. X-ray diffraction(XRD),scanning electron microscope(SEM), X-ray fluorescence(XRF) and temperature-programmed desorption of ammonia(NH3-TPD) were used to characterize these samples. The samples were tested with toluene methylation reaction. The modified sample composed of spherical particles with 3 μm crystal particles on the surface had a para-xylene selectivity of 95% and maintained 79% of the initial conversion after running the reaction for 50 h. This modified sample showed the best stability among the tested three modified samples. | Hongyu Wu Min Liu Wei Tan Keke Hou Anfeng Zhang Yiren Wang Xinwen Guo | 2014 | Journal of Energy Chemistry2014，23，4： | 8 |
| 2 | Feature Selection Method Based on Class Discriminative Degree for Intelligent Medical Diagnosis显示文摘By using efficient and timely medical diagnostic decision making,clinicians can positively impact the quality and cost of medical care.However,the high similarity of clinical manifestations between diseases and the limitation of clinicians’knowledge both bring much difficulty to decision making in diagnosis.Therefore,building a decision support system that can assist medical staff in diagnosing and treating diseases has lately received growing attentions in the medical domain.In this paper,we employ a multi-label classification framework to classify the Chinese electronic medical records to establish corresponding relation between the medical records and disease categories,and compare this method with the traditional medical expert system to verify the performance.To select the best subset of patient features,we propose a feature selection method based on the composition and distribution of symptoms in electronic medical records and compare it with the traditional feature selection methods such as chi-square test.We evaluate the feature selection methods and diagnostic models from two aspects,false negative rate(FNR)and accuracy.Extensive experiments have conducted on a real-world Chinese electronic medical record database.The evaluation results demonstrate that our proposed feature selection method can improve the accuracy and reduce the FNR compare to the traditional feature selection methods,and the multi-label classification framework have better accuracy and lower FNR than the traditional expert system. | Shengqun Fang Zhiping Cai Wencheng Sun Anfeng Liu Fang Liu Zhiyao Liang Guoyan Wang | 2018 | Computers, Materials & Continua2018，，6： | 5 |
| 3 | Using Imbalanced Triangle Synthetic Data for Machine Learning Anomaly Detection显示文摘The extreme imbalanced data problem is the core issue in anomaly detection.The amount of abnormal data is so small that we cannot get adequate information to analyze it.The mainstream methods focus on taking fully advantages of the normal data,of which the discrimination method is that the data not belonging to normal data distribution is the anomaly.From the view of data science,we concentrate on the abnormal data and generate artificial abnormal samples by machine learning method.In this kind of technologies,Synthetic Minority Over-sampling Technique and its improved algorithms are representative milestones,which generate synthetic examples randomly in selected line segments.In our work,we break the limitation of line segment and propose an Imbalanced Triangle Synthetic Data method.In theory,our method covers a wider range.In experiment with real world data,our method performs better than the SMOTE and its meliorations. | Menghua Luo Ke Wang Zhiping Cai Anfeng Liu Yangyang Li Chak Fong Cheang | 2019 | Computers, Materials & Continua2019，，1： | 4 |
| 4 | Secure and energy-efficient disjoint multi-path routing for WSNs显示文摘 | LIU Anfeng ZHENG Zhongming ZHANG Chao | 2012 | IEEE Transactions on Vehicular Technology2012，61，7： | 1 |
| 5 | Secure and energy-efficient disjoint multipath routing for WSNs显示文摘 | Liu Anfeng Zheng Zhongming Zhang Chao | 2012 | IEEE Transactions on Vehicular Technology2012，61，7： | 1 |
| 6 | Secure and Energy-efficient Disjoint Multipath Routing for WSNs显示文摘 | Liu Anfeng Zheng Zhongming Zhang Chao | 2012 | IEEE Transactions on Vehicular Technology2012，61，7： | 1 |
| 7 | Research on the energy hole problem based on unequal cluster - radius for wireless sensor networks显示文摘 | Liu Anfeng Wu Xianyou Chen Zhigang | 2010 | Computer Communications2010，33，： | 1 |
| 8 | Theoretical analy- sis of the lifetime and energy hole in cluster based Wire- less Sensor Networks显示文摘 | Liu Anfeng Zhang Penghui Chen Zhigang | 2011 | Journal of Parallel and Distributed Computing2011，71，10： | 1 |
| 9 | Overview on Treatment and Control Technology for Water Eutrophication显示文摘Eutrophication is one of the important reasons for water pollution and is also the problem for water pollution treatment at home and abroad. This article takes an overview on various technical methods and their characteristics applicable for treatment and control of water eutrophication from the aspects of physics, chemistry, biochemistry and environmental factors regulation, and discusses the application and development trend for relevant technologies. | Anfeng LI Tao PAN Chong YANG Xiang HU Jianping LIU Chengxi WU | 2013 | Asian Agricultural Research2013，5，5： | 1 |
| 10 | A new distributed topology control algorithm based on optimization of delay and energy in wireless networks显示文摘 | Gui Jinsong Liu Anfeng | 2012 | Journal of Parallel and Distributed Computing2012，72，8： | 1 |
| 11 | Theoretical Analysis of the Lifetime and Energy Hole in Cluster Based Wireless Sensor Networks显示文摘 | Liu Anfeng Zhang Penghui Chen Zhigang | 2011 | Journal of Parallel and Distributed Computing2011，71，10： | 1 |
| 12 | Purification and biochemical characterization of manganesecontaining superoxide dismutase from deep-sea thermophile Geobacillus sp. EPT3显示文摘Thermostable SOD is a promising enzyme in biotechnological applications. In the present study, thermophile Geobacillus sp. EPT3 was isolated from a deep-sea hydrothermal field in the East Pacific. A thermostable superoxide dismutase(SOD) from this strain was purified to homogeneity by steps of fractional ammonium sulfate precipitation, DEAE-Sepharose chromatography, and Phenyl-Sepharose chromatography. SOD was purified 13.4 fold to homogeneity with a specific activity of 3 354 U/mg and 11.1% recovery. SOD from Geobacillus sp. EPT3 was of the Mn-SOD type, judged by the insensitivity of the enzyme to both KCN and H2O2. SOD was determined to be a homodimer with monomeric molecular mass of 26.0 k Da. It had high thermostability at 50°C and 60°C. At tested conditions, SOD was relatively stable in the presence of some inhibitors and denaturants, such as β-mercaptoethanol(β-ME), dithiothreitol(DTT), phenylmethylsulfonyl fluoride(PMSF), urea, and guanidine hydrochloride. Geobacillus sp. EPT3 SOD showed striking stability across a wide p H range from 5.0 to 11.0. It could withstand denaturants of extremely acidic and alkaline conditions, which makes it useful in the industrial applications. | ZHU Yanbing LI Hebin NI Hui LIU Jingwen XIAO Anfeng CAI Huinong | 2014 | Acta Oceanologica Sinica2014，33，12： | 0 |
| 13 | Unsupervised Anomaly Detection via DBSCAN for KPIs Jitters in Network Managements显示文摘For many Internet companies,a huge amount of KPIs(e.g.,server CPU usage,network usage,business monitoring data)will be generated every day.How to closely monitor various KPIs,and then quickly and accurately detect anomalies in such huge data for troubleshooting and recovering business is a great challenge,especially for unlabeled data.The generated KPIs can be detected by supervised learning with labeled data,but the current problem is that most KPIs are unlabeled.That is a time-consuming and laborious work to label anomaly for company engineers.Build an unsupervised model to detect unlabeled data is an urgent need at present.In this paper,unsupervised learning DBSCAN combined with feature extraction of data has been used,and for some KPIs,its best F-Score can reach about 0.9,which is quite good for solving the current problem. | Haiwen Chen Guang Yu Fang Liu Zhiping Cai Anfeng Liu Shuhui Chen Hongbin Huang Chak Fong Cheang | 2020 | Computers, Materials & Continua2020，，2： | 0 |
| 14 | Substitution of His260 residue alters the thermostability of Pseudoalteromonas carrageenovora arylsulfatase显示文摘This study aimed to improve the thermostability of arylsulfatase from Pseudoalteromonas carrageenovora. A library of P. carrageenovora arylsulfatase mutants was constructed by introducing random mutagenesis using error-prone PCR. After screening, two mutants of H260L and D84A/H260L showed enhanced thermal stability than the wild-type predecessor (WT). Site-directed mutagenesis demonstrated that only amino acid residue at Position 260 plays an important role in the thermostability of P. carrageenovora arylsulfatase. Thermal inactivation analysis showed that the half-life (t1/2) values at 55°C for H260L, H260I, H260Q, H260F and H260R were 40.6, 48.4, 30.9, 29.1 and 34.5 min, respectively, while that of WT was 9.1 min. Structure modeling demonstrated that the additional hydrogen bonds and/or optimization of surface charge-charge interactions could be responsible for the increased thermostability imparted by H260L, H260I, H260Q, H260F and H260R. | Yanbing Zhu Xiaoqian Yin Han Liu Hebin Li Yanhong Chen Lijun Li Anfeng Xiao Hui Ni | 2019 | Acta Oceanologica Sinica2019，38，6： | 0 |
| 15 | Securing Display Path for Security-Sensitive Applications on Mobile Devices显示文摘While smart devices based on ARM processor bring us a lot of convenience,they also become an attractive target of cyber-attacks.The threat is exaggerated as commodity OSes usually have a large code base and suffer from various software vulnerabilities.Nowadays,adversaries prefer to steal sensitive data by leaking the content of display output by a security-sensitive application.A promising solution is to exploit the hardware visualization extensions provided by modern ARM processors to construct a secure display path between the applications and the display device.In this work,we present a scheme named SecDisplay for trusted display service,it protects sensitive data displayed from being stolen or tampered surreptitiously by a compromised OS.The TCB of SecDisplay mainly consists of a tiny hypervisor and a super light-weight rendering painter,and has only^1400 lines of code.We implemented a prototype of SecDisplay and evaluated its performance overhead.The results show that SecDisplay only incurs an average drop of 3.4%. | Jinhua Cui Yuanyuan Zhang Zhiping Cai Anfeng Liu Yangyang Li | 2018 | Computers, Materials & Continua2018，，4： | 0 |
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