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Treatment of bauxite residue dust pollution by improving structural stability via application of synthetic and natural polymers

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Journal of Central South University 2019年第2期26卷 440-448页

作者： DING Xu-han XU Guang ZHOU Wei GUO Xing-yun Department of Mining Engineering and Metallurgical Engineering Western Australian School of MinesCurtin University State Key Laboratory of Coal Resources and Safe Mining China University of Mining and Technology Sustainable Engineering Group School of Civil and Mechanical Engineering Curtin University

The residue drying area(RDA)is the major source of fugitive red sand(RS)dust emissions in the bauxite mining industry and causes serious environmental and safety *** stabilizer(PS)is one of the promising non-traditional stabilizers to mitigate such *** research investigated the unconfined compressive strength(UCS)of RS using synthetic polymer stabilizer(SPS)and natural polymer stabilizer(NPS),and to determine the optimum application concentration and mixing ratio of the PAM and Guar gum *** illustrated that PAM apparently outperform Guar gum in stabilizing sand *** mixture of PAM and Guar gum is more effective than individual *** optimum polymer concentration and the mixing ratio are 0.94 wt.%and 0.6(PAM:total(PAM+Guar gum)),respectively.A rigorous regression model was developed to predict the UCS value based on application concentration and mixing ratio for the purpose of cost and time efficiency.

关键词： unconfined compressive strength experimental design polyacrylamide Guar gum combined application

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Evaluation of thermal sprayed coating using ultrasonic inspection by means of bottom echo back reflection

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中国有色金属学会会刊：英文版 2009年第4期19卷 984-987页

作者： Toshifumi KUBOHORI Toru ITO wahidul lah WAHI Yasuyuki INUI Toshiro IKUTA School of Science and Engineering Kinki University

Thermal spraying technique is widely used in various mechanical parts as a surface reforming ***,as demand to maintain superior mechanical performance in harsh operating environment increases,the need for non-destructive evaluation method for thermal spray coating becomes more *** this purpose,we thinned the thickness of the thermal sprayed coating by abrasion with blasting and used ultrasonic inspection by means of bottom echo reflection for effective measurement of abrasion quantity in thermal sprayed *** results obtained are summarized as *** the thickness of thermal sprayed coating becomes thin,the echo height *** is because thermal sprayed coatings absorb ultrasonic *** energy absorbed by Al2O3 is smaller compared with Fe-13Cr *** sprayed coatings submerged in water have a lower echo height compared with *** mentioned above,the thermal sprayed coating thickness can be estimated using ultrasonic inspection by means of bottom echo back reflection.

关键词：超声波检测热喷涂层评价方法声反射底部热喷涂涂层涂层厚度能量吸收

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Detecting Deepfake Images Using Deep Learning Techniques and Explainable AI Methods

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Intelligent Automation & Soft Computing 2023年第2期35卷 2151-2169页

作者： wahidul Hasan Abir Faria Rahman Khanam Kazi Nabiul Alam Myriam Hadjouni Hela Elmannai Sami Bourouis Rajesh Dey Mohammad Monirujjaman Khan Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka1229Bangladesh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Electronics and Communication Engineering Brainware Group of Institutions-SDETBarasatKolkata700124West BengalIndia

Nowadays,deepfake is wreaking havoc on *** content is created with the help of artiﬁcial intelligence and machine learning to replace one person’s likeness with another person in pictures or recorded *** visual media manipulations are not new,the introduction of deepfakes has marked a breakthrough in creating fake media and *** manipulated pic-tures and videos will undoubtedly have an enormous societal *** uses the latest technology like Artiﬁcial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL)to construct automated methods for creating fake content that is becoming increasingly difﬁcult to detect with the human ***,automated solutions employed by DL can be an efﬁcient approach for detecting *** the“black-box”nature of the DL system allows for robust predictions,they cannot be completely *** is theﬁrst step toward achieving transparency,but the existing incapacity of DL to explain its own decisions to human users limits the efﬁcacy of these *** Explainable Artiﬁcial Intelligence(XAI)can solve this problem by inter-preting the predictions of these *** work proposes to provide a compre-hensive study of deepfake detection using the DL method and analyze the result of the most effective algorithm with Local Interpretable Model-Agnostic Explana-tions(LIME)to assure its validity and *** study identiﬁes real and deepfake images using different Convolutional Neural Network(CNN)models to get the best *** also explains which part of the image caused the model to make a speciﬁc classiﬁcation using the LIME *** apply the CNN model,the dataset is taken from Kaggle,which includes 70 k real images from the Flickr dataset collected by Nvidia and 70 k fake faces generated by StyleGAN of 256 px in *** experimental results,Jupyter notebook,TensorFlow,Num-Py,and Pandas were used as software,InceptionResnetV2,DenseNet201,Incep

关键词： Deepfake deep learning explainable artificial intelligence(XAI) convolutional neural network(CNN) local interpretable model-agnostic explanations(LIME)

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Annual pattern of zooplankton communities and their environmental response in a subtropical maritime channel system in the northern Bay of Bengal, Bangladesh

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Acta Oceanologica Sinica 2018年第8期37卷 65-73页

作者： ABDULLAH Al Mamun ALAM Md.Didarul AKHTAR Aysha XU Henglong ISLAM Md.Shafiqul MUSTAFA KAMAL Abu Hena UDDIN M Muslem ALAM Md.wahidul Laboratory of Microbial Ecology Ocean University of China Faculty of Marine Sciences and Fisheries University of Chittagong Department of Animal Science and Fishery Faculty of Agriculture and Food Sciences Universiti Putra Malaysia Campus Bintulu

Zooplankton plays an important role in aquatic food webs by fluxing of energy from primary producer to subsequent trophic levels in the food chain. The annual pattern of zooplankton communities and potential environmental drivers were studied in the Kohelia channel, Bangladesh from summer 2014 to spring *** were collected using net at a depth of 1 m. A total of 32 species belonged to 18 orders, 27 families and 15 taxonomic groups were identified. Of these species, 22 distributed in all four seasons of which 8 were dominant and highly contributing to the total communities. Species number peaked in summer next to winter and fall in spring while maximum abundance was in summer and minimum in spring. Multivariate analyses showed that there was a clear annual pattern in the zooplankton communities. Species diversity and evenness peaked in spring but fall in autumn while the high value of species richness was found in winter. Biological-environmental best matching（BIO-ENV） analyses conformed that community pattern of zooplankton was mainly driven by transparency salinity, and temperature individually or combined with water nutrients. These results demonstrate that annual pattern of the zooplankton community shaped by channel environmental factors in subtropical channel ecosystems, thus might be used for community-based subtropical coastal water bioassessment.

关键词： zooplankton trophic levels subtropical channel community structure multivariate approach

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