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Deformation Kinematics of Main Central Thrust Zone(MCTZ)in the Western Himalayas

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Journal of Earth Science 2022年第2期33卷 452-461页

作者： Mohsin Ahmad ahanger Ghulam Jeelani Department of Earth Sciences University of KashmirSrinagar 190006India

The main central thrust(MCT)is one of the major thrusts in *** central Himalaya,MCT was defined as a contact between underlying Lesser Himalayan Sequence(LHS)and overlying higher Himalayan crystallines(HHC).However,in the Kashmir Himalayas,the main central thrust zone(MCTZ),shear zone associated with MCT,is overlain by Kashmir Tethyan Sequence suggesting that the MCTZ has been deformed through a mechanism different than the mechanism responsible for MCTZ evolution in other parts of the *** the present study we used structural,microfabric and kinematic analyses to investigate the deformation kinematics of *** investigation revealed that the quartz in orthogneiss mylonites of MCTZ was dynamically recrystallized by grain boundary migration(GBM)and sub-grain rotation recrystallisation(SGR)with top-toSW sense of *** mean kinematic vorticity number(W;)just above the thrust ranges from 0.72to 0.84(40%–52%pure shear component)decreasing upwards to 0.65–0.71(35%–50%pure shear component).Deformation in the MCTZ is characterized by Rxzstrain ratio varying from 2.7 to *** present study suggested that the MCTZ suffered 3%–40%vertical shortening and 3%–66%transportparallel *** results suggested that the HHC’s were not completely exhumed to the topographic surfaces in the Kashmir *** the basal decollement,i.e.,the main Himalayan thrust(MHT),the deformation continued until MCTZ reached the brittle-ductile transition where deformation mechanism changed to the brittle and the MCTZ rocks were transported to the surface through slip on brittle MCT.

关键词： kinematics mylonites finite strain mean kinematic vorticity number(Wm) general shear tectonics

Secure Dengue Epidemic Prediction System: Healthcare Perspective

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Computers, Materials & Continua 2022年第10期73卷 1723-1745页

作者： Abdulaziz Aldaej Tariq Ahamed ahanger Mohammed Yousuf Uddin Imdad Ullah College of Computer Engineering and Science Prince Sattam bin Abdulaziz University Al-Kharj11942Saudi Arabia

Viral diseases transmitted by mosquitoes are emerging public health problems across the *** is considered to be the most significant mosquito-oriented ***,the present study provides an effective architecture for Dengue Virus Infection *** proposed system involves a 4-level architecture for the prediction and prevention of dengue infection *** architectural levels including Dengue Information Acquisition level,Dengue Information Classification level,DengueMining and Extraction level,and Dengue-Prediction and Decision Modeling level enable an individual to periodically monitor his/her probabilistic dengue fever *** prediction process is carried out so that proactive measures are taken *** predictive purposes,probabilistic analysis in terms of Level of Dengue Fever(LoDF)was carried out using the Adaptive NeuroFuzzy Inference *** on the Self-Organized Mapping procedure,the presence of LoDF is *** simulations on datasets of 16 individuals cumulating to 32,255 instances were conducted to test the effectiveness of the presented *** comparison to other decision-modeling methods,significantly improved results in form of classification efficacy,a temporal delay,prediction effectiveness,reliability,and stability were reported for the presented model.

关键词： Internet of things smart air real-time healthcare adaptive neuro-fuzzy inference system

Hybridizing Artificial Bee Colony with Bat Algorithm for Web Service Composition

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Computer Systems Science & Engineering 2023年第8期46卷 2429-2445页

作者： Tariq Ahamed ahanger Fadl Dahan Usman Tariq Department of Management Information Systems College of Business AdministrationPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Management Information Systems College of Business Administration-Hawtat Bani TamimPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Sciences Faculty of Computing and Information Technology Al-TurbahTaiz UniversityTaiz9674Yemen

In the Internet of Things(IoT),the users have complex needs,and the Web Service Composition(WSC)was introduced to address these *** WSC’s main objective is to search for the optimal combination of web services in response to the user needs and the level of Quality of Services(QoS)*** challenge of this problem is the huge number of web services that achieve similar functionality with different levels of QoS *** this paper,we introduce an extension of our previous works on the Artificial Bee Colony(ABC)and Bat Algorithm(BA).A new hybrid algorithm was proposed between the ABC and BA to achieve a better tradeoff between local exploitation and global *** bat agent is used to improve the solution of exhausted bees after a threshold(limits),and also an Elitist Strategy(ES)is added to BA to increase the convergence *** performance and convergence behavior of the proposed hybrid algorithm was tested using extensive comparative experiments with current state-ofthe-art nature-inspired algorithms on 12 benchmark datasets using three evaluation criteria(average fitness values,best fitness values,and execution time)that were measured for 30 different *** datasets are created from real-world datasets and artificially to form different scale sizes of WSC *** results show that the proposed algorithm enhances the search performance and convergence rate on finding the near-optimal web services combination compared to *** signed-rank significant test is usedwhere the proposed algorithm results significantly differ fromother algorithms on 100%of datasets.

关键词： Internet of things artificial bee colony bat algorithm elitist strategy web service composition

Securing Consumer Internet of Things for Botnet Attacks: Deep Learning Approach

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Computers, Materials & Continua 2022年第11期73卷 3199-3217页

作者： Tariq Ahamed ahanger Abdulaziz Aldaej Mohammed Atiquzzaman Imdad Ullah Mohammed Yousuf Uddin College of Computer Engineering and Science Prince Sattam bin Abdulaziz University Al-Kharj11942Saudi Arabia School of Computer Science University of Oklahoma Norman73019-6151United States

DDoS attacks in the Internet of Things(IoT)technology have increased significantly due to its spread adoption in different industrial *** purpose of the current research is to propose a novel technique for detecting botnet attacks in user-oriented IoT ***,an attack identification technique inspired by Recurrent Neural networks and Bidirectional Long Short Term Memory(BLRNN)is presented using a unique Deep Learning(DL)*** text identification and translation of attack data segments into tokenized form,word embedding is *** performance analysis of the presented technique is performed in comparison to the state-of-the-art DL ***,Accuracy(98.4%),Specificity(98.7%),Sensitivity(99.0%),F-measure(99.0%)and Data loss(92.36%)of the presented BLRNN detection model are determined for identifying 4 attacks over Botnet(Mirai).The results show that,although adding cost to each epoch and increasing computation delay,the bidirectional strategy is more superior technique model over different data instances.

关键词： Internet of Things deep learning security DDoS attack botnet

Marigold: From Mandap to Medicine and from Ornamentation to Remediation

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American Journal of Plant Sciences 2019年第2期10卷 309-338页

作者： Rayees Ahmad Mir Mohammad Abass ahanger R. M. Agarwal School of Studies in Botany Jiwaji University Gwalior MP India College of Life Sciences Northwest University Xi’an China Gwaliar MP India

Importance of medicinal plants to health care has been great and herbal preparations are being produced at industrial scale particularly in developing countries. The plant products obtained have a long history of use in therapeutics, aromatherapy and food depending on the chemical constituents and their bioactivity. In the recent past, marigolds have received a great attention in scientific research, because of their multiple use and also the information available about their phytochemistry and bioactivity. Tagetes species commonly known as marigold is native to Mexico, being used for medicinal and ornamental purposes. The plant is useful due to its unique phytoconstituents for a range of diseases and disorders and is reportedly effective against piles, kidney troubles, muscular pain, ulcers and wound healing and the flowers are helpful in fever, stomach and liver complaints and also in eye diseases. In India, marigold is also extensively used on religious and social occasions such as in the beautification of mandaps and pooja places;offerings at temples;marriage decorations and landscape planning due to variable size and colour of its flower. Present review is an effort to bring together the different strategies developed for the growth and cultivation of marigold, its ecophysiological and remediation relevance under a variety of environmental conditions and possible allelopathic potential. It includes reports on pharmacological aspects like antibacterial, antifungal, larvicidal, hepatoprotective, insecticidal, mosquitocidal, nematicidal, wound healing, antioxidant, anticancer and antidiabetic properties/activity of Tagetes.

关键词： Tagetes spp Pharmacological Aspects Phytoremediation Allelopathic Potential and Cultivation and Production