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Ionospheric precursors of strong earthquakes observed using six GNSS stations data during continuous five years(2011-2015)

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Geodesy and Geodynamics 2023年第1期14卷 65-79页

作者： H.E.Eshkuvatov B.J.Ahmedov Y.A.Tillayev M.arslan Tariq M.Ali Shah Libo Liu Ulugh Beg Astronomical Institute Astronomy St.33Tashkent 100052Uzbekistan National University of Uzbekistan University St.4Tashkent 100174Uzbekistan Institute of Fundamental and Applied Research National Research University TIIAMEKori Niyoziy 39Tashkent 100000Uzbekistan Centre for Earthquake Studies National Centre for PhysicsIslamabadPakistan Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Heilongjiang Mohe Observatory of Geophysics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina

This study reports the morphological characteristics of anomalous variations in Global Navigation Satellite System Total Electron Content(GNSS-TEC) prior to the strong local earthquakes(EQ) that occurred during the period of *** have analyzed 20 earthquakes of magnitude M> 5.6.A statistical technique is implemented on the data of six GNSS stations located in Tashkent,Kitab,and Maidanak in Uzbekistan,and Islamabad,Multan,Quetta in *** results show continuous anomalous variations in TEC during 24 h befo re the occupancy of local *** is shown that the precursors before the occurrence of strong earthquakes,in particular of magnitude 5.7,7.7,7.5,7.8 and 7.3 are detected near Eastern Uzbekistan(26 May 2013),Southwestern Pakistan(24 September 2013),Hindukush region of Afghanistan(26 October 2015),and Central Nepal(25 April 2015) and(12 May 2015),*** ionospheric anomalies appearing before the strong earthquakes at six GNSS stations are registered in 14cases(70%) out of 20 selected *** is depicted that anomalies referred to as ionospheric precursors appeared about 1-7 days prior to the occurrence of strong earthquakes.

关键词： GNSS TEC Earthquakes Ionospheric precursors

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Multi Criteria Decision Making for Evaluation and Ranking of Cancer Information

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Computers, Materials & Continua 2023年第2期74卷 4469-4481页

作者： Shahid Mahmood Muhammad Amin Mubashir Baig Mirza Salem Abu-Ghumsan Muhammad Akram Zahid Mahmood Janjua arslan Shahid Usman Shahid College of Dentistry Prince Sattam Bin Abdul Aziz UniversityAlkharj11942Saudi Arabia Department of Avionics Engineering Institute of Space TechnologyIslamabadPakistan University of Engineering&Technology Lahore56000Pakistan Systems International Lahore56000Pakistan Arif Memorial Hospital Lahore56000Pakistan University of Central Punjab Lahore56000Pakistan

Cancer is a disease that is rapidly expanding in prevalence all over the *** cells canmetastasize,or spread,across the body and impact several different cell ***,the incidence rates of several subtypes of cancer have been on the rise in *** countermeasures for the cancer disease can be taken by determining the specific expansion rate of each *** rank the various forms of cancer’s rate of progression,we used some of the available *** studies are available in the literature which show the growth rate of cancer by different *** accuracy of the scheme in determining the highest growth rate may vary due to the variation in the dependent *** the context of this research,the Fuzzy triangular technique for order preference by similarity to ideal solution(TOPSIS),is utilized to rank the various categorizations of cancer with the help of four groups of medical professionals acting in the capacity of *** number of decision-makers may variate according to the required accuracy of *** findings of the three-dimensional Fuzzy TOPSIS analysis categorize each variety of cancer according to the rate at which it spreads over *** results along with visual representation are presented to examine the efficiency of our proposed work.

关键词： Cancer fuzzy set TOPSIS triangular fuzzy number

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Electrical Tracking,Erosion and Fire Retardancy Performance of Silicone Rubber Insulation Containing Aluminum Trihydrate,Graphene and Glass Fiber Additives

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CSEE Journal of Power and Energy Systems 2023年第5期9卷 1918-1925页

作者： M.Tariq Nazir arslan Khalid B.Toan Phung Arup K.Das Peter Cheetham Ashish Paramane Shakeel Akram Khoi Loon Wong School of Engineering RMIT UniversityMelbourneVIC 3000Australia. the Center for Advanced Power Systems(CAPS) Florida State UniversityFL 32310USA the Flame Security International Pty Limited Australia the School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW 2052Australia Department of Electrical Engineering National Institute of TechnologySilcharAssam 788010India the College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingJiangsu 211816China

Silicone rubber composite is a priority electrical insulating material used in high-voltage outdoor insulation *** electrical tracking/erosion and poor flame resistance performance of silicone rubber once ignited,substantially reduce its working *** paper attempts to investigate tracking/erosion performance of room temperature vulcanized(RTV)silicone rubber along with flame retardant parameters using aluminum trihydrate(ATH),graphene nanosheets(GN)and milled glass fiber(GF)*** inclined plane test(IPT)was performed in line with criteria defined in IEC 60587 using step-up tracking voltage method while flame retardancy is evaluated according to ASTM E 1354.0 using a cone *** suggest 30% of ATH assists in improving physical tracking/erosion resistance of pristine silicone elastomer rubber by impeding development of leakage current and a great reduction in maximum average temperatures on the surface of *** improvement in performance of RTV2 is achieved through introduction of 1%of GN and 5% of GF as seen in ***,30% of ATH reduces heat release rate and smoke production rate,and this trend is improved with the introduction of GN/***4 has pop up as the most promising silicone rubber composite with excellent electrical tracking,erosion,and flame resistance performance relative to its counterparts in this study.

关键词： Dry band arcing electrical tracking heat release rate leakage current silicone rubber smoke production rate

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A review on first principles based studies for improvement of cathode material of lithium ion batteries

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Journal of Energy Chemistry 2018年第1期27卷 219-237页

作者： arslan Ullah Abdul Majid Naema Rani Department of Physics.University of Cujrat.50700 Gujrat Pakistan Office of Research Innovation and CommercializationUniversity of GujratGujratPakistan

Lithium ion batteries（LIBs） are currently best energy storage devices providing rechargeable electrical storage to wide variety of applications – from portable electronics to automobiles. Though, these batteries are fully adopted, widely used and commercialized, but researchers are still extensively working on their constituent materials and developing technology to improve their performance. A major part of related research activities is devoted to the electrode of the battery for improvement in its performance thereby addressing issues like safety, lifetime, specific capacity, energy density and most importantly abundance and cost. There are number of cathode materials that have been proposed and tested at laboratory scale and subsequently utilized in commercialized batteries ever since the appearance of LIBs. Owing to the availability of improved computational resources in the last decade, first principles calculation has become a reliable tool and played a vital role to predict the material properties of electrodes prior to their experimental analysis. This review gives a comprehensive insight and thorough analysis of the global research efforts related to the cathode materials based on first principles framework, sheds light on current status of knowledge and explores the ways forward.

关键词： Lithium ion batteries Electrodes First principles methods

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Geological and Morphological Features of the Karapinar Sinkholes(Konya， Central Anatolia， Türk?ye)

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Journal of Earth Science 2023年

作者： Ya?ar EREN ?eyda PARLAR Berkant CO?KUNER ?ükrü arslan Prime Ministry Disaster And Emergency Management Authority Konya Provincial Directorate of Disaster and Emergency Department of Geological Engineering Faculty of Engineering and Natural Sciences Konya Technical University

Karap?nar region (Konya， Turkey) is one of the important regions of the world in terms of sinkhole formations. The research aimed to map the sinkholes in detail， to determine their spatial distribution and geometrical parameters. For this purpose， the long axes， short axes， depths and the proximity to settlements of the sinkholes were measured and their circumferences and areas were calculated. During the studies， the relationship of the sinkholes with lithology， their cross sections， shapes and the related structures were determined and the sinkholes were divided into five main groups as following; Basement rock sinkholes， Obruk Plateau sinkholes， Seyithac? sinkholes， Siyeklik sinkholes and Basin sinkholes. The d/l ratios of each sinkhole group were separately determined and interpreted. Accordingly， most of the d/l ratios are small than 0.2. Namely， the long axes are higher than the depth and it indicates that the shallow and wide sinkholes are common in the region. It has been determined that the fracture systems in the region， as well as the lithology and groundwater factors， are quite effective in the formation and distribution of the sinkholes in the Karap?nar region. Considering the distance of the sinkholes to the settlements， Seyithac? sinkholes are the most risky group in the region because they are deep and close to the settlements.

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A novel confidence estimation method for neural networks in multispectral image classification

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International Journal of Digital Earth 2009年第4期2卷 343-358页

作者： O.arslan Geodesy and Photogrammetry Engineering Department Engineering FacultyUniversity of Kocaeli41040Turkey

The Digital Earth concept has attracted much attention recently and this approach uses a variety of earth observation data from the global to the local *** techniques have made much progress technically and the methods used for automatic extraction of geo-ralated information are of importance in Digital Earth *** of these methods,artificial neural networks(ANN)techniques,have been effectively used in classification of remotely sensed *** image classification with ANN has been producing higher or equal mapping accuracies than parametric *** studies have,in fact,shown that there is no discernible difference in classification accuracies between neural and conventional statistical *** well designed and trained neural networks can present a better performance than the standard statistical *** are,as yet,no widely recognised standard methods to implement an optimum *** this point of view it might be beneficial to quantify ANN’s reliability in classification *** measure the reliability of the neural network might be a way of developing to determine suitable network *** date,the problem of confidence estimation of ANN has not been studied in remote sensing studies.A statistical method for quantifying the reliability of a neural network that can be used in image classification is investigated in this *** this purpose the method is to be based on a binomial experimentation concept to establish confidence *** novel method can also be used for the selection of an appropriate network structure for the classification of multispectral *** the main focus of the research is to estimate confidence in ANN,the approach might also be applicable and relevant to Digital Earth technologies.

关键词： digital earth neural networks confidence estimation image classification

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GPGPU-parallelised hybrid finite-discrete element modelling of rock chipping and fragmentation process in mechanical cutting

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Journal of Rock Mechanics and Geotechnical Engineering 2020年第2期12卷 310-325页

作者： Mojtaba Mohammadnejad sevda Dehkhoda Daisuke Fukuda Hongyuan Liu Andrew Chan School of Engineering College of Science and EngineeringUniversity of TasmaniaHobartTAS7001Australia CSIRO Minerals Resources Business UnitQCAT 1 Technology CourtPullenvaleQLD4069Australia Hatch BrisbaneQLD4000Australia Division of Sustainable Resources Engineering Faculty of EngineeringHokkaido UniversityHokkaidoJapan

Mechanical cutting provides one of the most flexible and environmentally friendly excavation *** has attracted numerous efforts to model the rock chipping and fragmentation process,especially using the explicit finite element method(FEM) and bonded particle model(BPM),in order to improve cutting *** study investigates the application of a general-purpose graphic-processing-unit parallelised hybrid finite-discrete element method(FDEM) which enjoys the advantages of both explicit FEM and BPM,in modelling the rock chipping and fragmentation process in the rock scratch test of mechanical rock *** input parameters of FDEM are determined through a calibration procedure of modelling conventional Brazilian tensile and uniaxial compressive tests of limestone,A series of scratch tests with various cutting velocities,cutter rake angles and cutting depths is then modelled using FDEM with calibrated input parameters.A few cycles of cutter/rock interactions,including their engagement and detachment process,are modelled for each case,which is conducted for the first time to the best knowledge of the authors,thanks to the general purpose graphic processing units(GPGPU) *** failure mechanism,cutting force,chipping morphology and effect of various factors on them are discussed on the basis of the modelled ***,it is concluded that GPGPU-parallelised FDEM provides a powerful tool to further study rock cutting and improve cutting efficiencies since it can explicitly capture different fracture mechanisms contributing to the rock chipping as well as chip formation and the separation process in mechanical ***,it is concluded that chipping is mostly owed to the mix-mode Ⅰ-Ⅱ fracture in all cases although mode Ⅱ cracks and mode Ⅰ cracks are the dominant failures in rock cutting with shallow and deep cutting depths,*** chip morphology is found to be a function of cutter velocdty,cutting depth and cutter rake angl

关键词： Numerical simulation Finite-discrete element method(FDEM) Rock cutting Chipping Cracking

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AlCuFe共晶合金的显微组织和力学性能

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Transactions of Nonferrous Metals Society of China 2020年第12期30卷 3183-3194页

作者： sevda ENGİN Department of Energy Systems Engineering Faculty of TechnologyKütahya Dumlupınar UniversityKütahyaTurkey

制备特殊用途的AlCuFe合金,评估生长速率变化导致的结果,因为材料生长速率不同而引起的共晶间距(显微组织)的变化会影响其力学、电和热性能。为了研究AlCuFe合金的显微组织,在恒定的温度梯度(G=8.50 K/mm)和5种不同的生长速率(V=8.25,16... 详细信息

制备特殊用途的AlCuFe合金,评估生长速率变化导致的结果,因为材料生长速率不同而引起的共晶间距(显微组织)的变化会影响其力学、电和热性能。为了研究AlCuFe合金的显微组织,在恒定的温度梯度(G=8.50 K/mm)和5种不同的生长速率(V=8.25,16.60,41.65,90.05,164.80μm/s)下,通过定向凝固法制备共晶成分的Al−32.5%Cu−0.5%Fe(质量分数)合金。得到生长速率对共晶间距影响,并通过对显微组织变化的回归分析及Hall−Petch关系得出显微硬度和极限拉伸强度。结果表明,尽管生长速率增加约20倍,但共晶间距却减少约5个数量级,而生长速率和显微组织变化导致的力学性能变化约为1.5个数量级。

关键词：定向凝固铝合金显微组织抗拉强度硬度

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World Journal of Methodology 2022年第4期12卷 224-234页

作者： ÖnerÖzdemir Zeynep arslan Division of Pediatric Allergy and Immunology Sakarya University Medical FacultySakarya 54100Turkey Department of Pediatrics Sakarya University Research and Training HospitalSakarya 54100Turkey

The pandemic caused by severe acute respiratory syndrome coronavirus-2(SARSCoV-2)in 2019-2022 leads to a multisystem illness that results in damage to numerous organ *** this review,our goal was to assess current research on long-term respiratory,cardiac,neurological,digestive,rheumatological,urogenital,and dermatological system complications of coronavirus disease 2019(COVID-19).Bibliographic searches were conducted in December 2021 using PubMed and Google Scholar,retrospectively,covering all COVID-19 literature to determine the consequences of the *** review may help to determine the prospects for new studies and predict the upcoming aspects requiring assessment in post-COVID-19 syndrome.

关键词： Coronavirus COVID-19 Post-COVID-19 syndrome Pandemic SARS-CoV-2

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Efficient Energy and Delay Reduction Model for Wireless Sensor Networks

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Computer Systems Science & Engineering 2023年第7期46卷 1153-1168页

作者： arslan Iftikhar M.A.Elmagzoub Ansar Munir Hamad Abosaq Al Salem Mahmood ul Hassan Jarallah Alqahtani Asadullah Shaikh Institute of Southern Punjab Multan60000Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajran61441Saudi Arabia

In every network,delay and energy are crucial for communication and network *** wireless sensor networks,many tiny nodes create networks with high energy consumption and compute routes for better *** Sensor Networks(WSN)is a very complex scenario to compute minimal delay with data aggregation and energy *** this research,we compute minimal delay and energy efficiency for improving the quality of service of any *** proposed work is based on energy and distance parameters as taken dependent variables with data *** aggregation performs on different models,namely Hybrid-Low Energy Adaptive Clustering Hierarchy(H-LEACH),Low Energy Adaptive Clustering Hierarchy(LEACH),and Multi-Aggregator-based Multi-Cast(MAMC).The main contribution of this research is to a reduction in delay and optimized energy solution,a novel hybrid model design in this research that ensures the quality of service in *** model includes a whale optimization technique that involves heterogeneous functions and performs optimization to reach optimized *** cluster head selection,Stable Election Protocol(SEP)protocol is used and Power-Efficient Gathering in Sensor Information Systems(PEGASIS)is used for driven-path in *** results evaluate that H-LEACH provides minimal delay and energy consumption by sensor *** the comparison of existing theories and our proposed method,HLEACH is providing energy and delay reduction and improvement in quality of *** 2019 is used for simulation work.

关键词： Data aggregation wireless sensor network energy efficiency quality of services delay reduction

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