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An iterative approach for modal analysis of solid rocket motor incorporating frequency dependent modulus

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航空动力学报 2013年第2期28卷 452-458页

作者： muhammad adnan SUN Bing ZHANG Jian-wei Sarosh Ali School of Astronautics Beijing University of Aeronautics and Astronautics

The modulus of viscoelastic materials varies with excitation ***,during modal analysis of frequency dependent materials,a material evaluation frequency is necessary because stiffness cannot be modified during eigenfrequency *** a result,only those vibration modes are accurate,of which eigenfrequency is close to the material evaluation *** order to obtain vibration modes of solid rocket motor(SRM) using material modulus based on frequency which is the same as the eigenfrequency,an iterative approach was *** of the iterative technique show that frequency modes obtained from the method are in complete agreement with the eigenfrequency and material evaluation frequency.

关键词： solid rocket motor viscoelastic materials modal analysis eigenfrequency frequency dependent modulus

Improved Sequencing Heuristic DSDV Protocol Using Nomadic Mobility Model for FANETS

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Computers, Materials & Continua 2022年第2期70卷 3653-3666页

作者： Inam Ullah Khan muhammad Abul Hassan muhammad Fayaz Jeonghwan Gwak muhammad adnan Aziz Department of Electronic Engineering Isra University(SEAS)Islamabad44000Pakistan Department of Computing and Technology Abasyn University Peshawar25000Pakistan Deparment of Computer Engineering Jeju National UniversityJejuKorea Department of Software Korea National University of TransportationChungju27469Korea Department of Biomedical Engineering Korea National University of TransportationChungju27469Korea Department of AI Robotics Engineering Korea National University of TransportationChungju27469Korea Department of IT&Energy Convergence(BK21 FOUR) Korea National University of TransportationChungju27469Korea

Most interesting area is the growing demand of flying-IoT mergers with smart ***,aerial vehicles,especially unmanned aerial vehicles(UAVs),have limited capabilities for maintaining node energy *** order to communicate effectively,IoT is a key element for smart *** improving network performance,routing protocols can be deployed in flying-IoT to improve latency,packet drop rate,packet delivery,power utilization,and average-end-to-end ***,in literature,proposed techniques are verymuch complex which cannot be easily implemented in realworld *** issue leads to the development of lightweight energyefficient routing in flying-IoT *** paper addresses the energy conservation problem in *** paper presents a novel approach for the internet of flying vehicles using DSDV ***-DSDV gives the notion of bellman-ford algorithm consisting of routing updates,information broadcasting,and stale *** shows optimal results in comparison with other contemporary routing *** mobility model is utilized in the scenario of flying networks to check the performance of routing protocols.

关键词： Flying-IoT DSR smart cities UAV’s FANETS

A geocomputational analysis of Twitter activity around different world cities

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Geo-Spatial Information Science 2014年第3期17卷 145-152页

作者： muhammad adnan Alistair LEAK Paul LONGLEY Department of Geography University College LondonGower StreetLondon WC1E 6BTUK Department of Security and Crime Science University College London35 Tavistock SquareLondon WC1H 9EZUK

The penetration and use of social media services differs from city to *** paper is aimed to provide a comparison of the use of Twitter between different cities of the *** present a temporal analysis of activity on Twitter in 15 *** study consists of two parts:First,we created temporal graphs of the activity in the 15 cities,through which hours of high and low activity could be ***,we created heat map visualizations of the Twitter activities during the period of 19 September 2012–25 September *** heat map visualizations make the periods of intense and sparse activity apparent and provide a snapshot of the activity during the whole year.

关键词： Twitter temporal analysis heat map visualization activity patterns

Role of small bowel capsule endoscopy in the diagnosis and management of iron deficiency anemia in elderly: A comprehensive review of the current literature

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World Journal of Gastroenterology 2014年第26期20卷 8416-8423页

作者： adnan muhammad Gitanjali Vidyarthi Patrick Brady Division of Digestive Diseases and Nutrition University of South FloridaMorsani College of Medicine Division of Gastroenterology James A Haley VA Hospital

Iron deficiency anemia(IDA)is common and often under recognized problem in the *** may be the result of multiple factors including a bleeding lesion in the gastrointestinal *** percent of elderly patients with IDA have a negative upper and lower endoscopy and two-thirds of these have a lesion in the small bowel(SB).Capsule endoscopy(CE)provides direct visualization of entire SB mucosa,which was not possible *** is superior to push enteroscopy,enteroclysis and barium radiography for diagnosing clinically significant SB pathology resulting in *** is one of the commonest lesions seen on the CE in elderly with *** diagnostic yield of CE for IDA progressively increases with advancing age,and is highest among patients over 85 years of *** assisted enteroscopy is used to treat the lesions seen on *** has some limitations mainly lack of therapeutic capability,inability to provide precise location of the lesion and false positive *** CE is a very safe and effective procedure for the evaluation of IDA in elderly.

关键词： Small bowel Capsule endoscopy Iron deficiency anemia Elderly Diagnostic yield

Mobile Devices Interface Adaptivity Using Ontologies

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Computers, Materials & Continua 2022年第6期71卷 4767-4784页

作者： muhammad Waseem Iqbal muhammad Raza Naqvi muhammad adnan Khan Faheem Khan T.Whangbo Department of Software Engineering The Superior UniversityLahore53700Pakistan INP-ENIT University of ToulouseTarbes65000France Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea Department of Computer Engineering Gachon UniversitySeongnam13557Korea

Currently,many mobile devices provide various interaction styles and modes which create complexity in the usage of *** context offers the information base for the development of Adaptive user interface(AUI)frameworks to overcome the *** this purpose,the ontological modeling has been made for specific context and *** type of philosophy states to the relationship among elements(e.g.,classes,relations,or capacities etc.)with understandable satisfied *** contextmechanisms can be examined and understood by anymachine or computational framework with these formal definitions expressed in Web ontology language(WOL)/Resource description frame work(RDF).The Protégéis used to create taxonomy in which system is framed based on four contexts such as user,device,task and *** competency questions and use-cases are utilized for knowledge obtaining while the information is refined through the instances of concerned parts of context *** consistency of the model has been verified through the reasoning software while SPARQL querying ensured the data availability in the models for defined *** semantic context model is focused to bring in the usage of adaptive *** exploration has finished up with a versatile,scalable and semantically verified context learning *** model can be mapped to individual User interface(UI)display through smart calculations for versatile UIs.

关键词： User context adaptive interfaces human computer interaction

A panoramic view of Li_(7)P_(3)S_(11) solid electrolytes synthesis, structural aspects and practical challenges for all-solid-state lithium batteries

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Chinese Journal of Chemical Engineering 2021年第11期34卷 16-36页

作者： muhammad Khurram Tufail Niaz Ahmad Le Yang Lei Zhou muhammad adnan Naseer Renjie Chen Wen Yang Key Laboratory of Cluster Science of Ministry of Education Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials School of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China School of Material Science and Engineering Beijing Institute of TechnologyBeijing 100081China Institute of Advanced Technology Beijing Institute of TechnologyJinan 250300China

The development of an inorganic electrochemical stable solid-state electrolyte is essentially responsible for future state-of-the-art all-solid-state lithium batteries(ASSLBs).Because of their advantages in safety,working temperature,high energy density,and packaging,ASSLBs can develop an ideal energy storage system for modern electric vehicles(EVs).A solid electrolyte(SE)model must have an economical synthesis approach,exhibit electrochemical and chemical stability,high ionic conductivity,and low interfacial *** to its highest conductivity of 17 mS·cm^(-1),and deformability,the sulfide-based Li_(7)P_(3)S_(11) solid electrolyte is a promising contender for the high-performance bulk type of ***,we present a current glimpse of the progress of synthetic procedures,structural aspects,and ionic conductivity improvement *** elucidation and mechanistic approaches have been extensively discussed by using various characterization *** chemical stability of Li_(7)P_(3)S_(11) could be enhanced via oxide doping,and hard and soft acid/base(HSAB)concepts are also *** issues to be undertaken for designing the ideal solid electrolytes,interfacial challenges,and high energy density have been *** review aims to provide a bird’s eye view of the recent development of Li_(7)P_(3)S_(11)-based solid-state electrolyte applications and explore the strategies for designing new solid electrolytes with a target-oriented approach to enhance the efficiency of high energy density allsolid-state lithium batteries.

关键词： Li_(7)P_(3)S_(11)solid electrolyte 30Li_(2)S-70P_(2)S_(5)glass ceramics Chemical stability Electrolyte/electrode interphase High energy density all-solid-state lithium batteries

Evaluation of SWAT Model performance on glaciated and non-glaciated subbasins of Nam Co Lake, Southern Tibetan Plateau, China

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Journal of Mountain Science 2019年第5期16卷 1075-1097页

作者： muhammad adnan KANG Shi-chang ZHANG Guo-shuai muhammad Naveed ANJUM muhammad ZAMAN ZHANG Yu-qing State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences China University of Chinese Academy of Sciences CAS Centre for Excellence in Tibetan Plateau Earth Sciences Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Division of Hydrology Water-Land Resources in Cold and Arid Regions Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Department of Irrigation & Drainage University of AgricultureFaisalabad Research Center of Fluid Machinery Engineering & Technology Jiangsu University School of Urban and Environmental Sciences Huaiyin Normal University

This paper presents an assessment of the Soil and Water Assessment Tool(SWAT) on a glaciated(Qugaqie) and a non-glaciated(Niyaqu) subbasin of the Nam Co Lake. The Nam Co Lake is located in the southern Tibetan Plateau, two subbasins having catchment areas of 59 km^2 and 388 km^2, respectively. The scores of examined evaluation indices(i.e., R^2, NSE, and PBIAS) established that the performance of the SWAT model was better on the monthly scale compared to the daily scale. The respective monthly values of R^2, NSE, and PBIAS were 0.94, 0.97, and 0.50 for the calibration period while 0.92, 0.88, and -8.80 for the validation period. Glacier melt contribution in the study domain was simulated by using the SWAT model in conjunction with the Degree Day Melt(DDM) approach. The conjunction of DDM with the SWAT Model ensued improved results during both calibration(R^2=0.96, NSE=0.95, and PBIAS=-13.49) and validation (R^2=0.97, NSE=0.96, and PBIAS=-2.87) periods on the monthly time scale. Average contribution(in percentage) of water balance components to the total streamflow of Niyaqu and Qugaqie subbasins was evaluated. We found that the major portion(99.45%) of the streamflow in the Niyaqu subbasin was generated by snowmelt or rainfall surface runoff(SURF_Q), followed by groundwater(GW_Q, 0.47%), and lateral(LAT_Q, 0.06%) flows. Conversely, in the Qugaqie subbasin, major contributor to the streamflow(79.63%) was glacier melt(GLC_Q), followed by SURF_Q(20.14%), GW_Q(0.13%), and LAT_Q(0.089%). The contribution of GLC_Q was the highest(86.79%) in July and lowest(69.95%) in September. This study concludes that the performance of the SWAT model in glaciated catchment is weak without considering glacier component in modeling; however, it performs reasonably well in non-glaciated catchment. Furthermore, the temperature index approach with elevation bands is viable in those catchments where streamflows are driven by snowmelt. Therefore, it is recommended to use the SWAT Model in con

关键词： SWAT Model Nam Co Lake Degree-day melt model Streamflow Hydrological Response Unit

Data-Driven Probabilistic S for Batsman Performance Prediction in a Cricket Match

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Intelligent Automation & Soft Computing 2023年第6期36卷 2865-2877页

作者： Fawad Nasim muhammad adnan Yousaf Sohail Masood Arfan Jaffar muhammad Rashid Superior University Lahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan National University of Technology Islamabad44000Pakistan

Batsmen are the backbone of any cricket team and their selection is very critical to the team’s success.A good batsman not only scores run but also provides stability to the team’s *** most important factor in selecting a batsman is their ability to score *** is a generally accepted notion that the future performance of a batsman can be predicted by observing and analyzing their past *** hypothesis is based on the fact that a player’s batting aver-age is generally considered to be a good indicator of their future *** proposed a data-driven probabilistic system for batsman performance prediction in the game of *** captures the dependencies between the runs scored by a batsman in consecutive *** system is evaluated using a dataset extracted from the Cricinfo *** system is based on a Hidden Markov model(HMM).HMM is used to generate the prediction model to foresee players’upcoming *** first-order Markov chain assumes that the probabil-ity of a batsman scoring runs in the next ball is only dependent on how many runs he scored in the current *** use a data-driven approach to learn the para-meters of the HMM from data.A probabilistic matrix is made that predicts what scores the batter can do on the upcoming *** results show that the system can accurately predict the runs scored by a batsman in a ball.

关键词： Probabilistic matrix hidden markov model batsman performance prediction

Single and Mitochondrial Gene Inheritance Disorder Prediction Using Machine Learning

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Computers, Materials & Continua 2022年第10期73卷 953-963页

作者： muhammad Umar Nasir muhammad adnan Khan muhammad Zubair Taher MGhazal Raed A.Said Hussam Al Hamadi Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13120GyeonggidoKorea Faculty of Computing Riphah International UniversityIslamabad45000Pakistan School of Information Technology Skyline University CollegeSharjah1797UAE Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and Technology Universiti Kebangsaan Malaysia43600Malaysia Canadian University Dubai00000UAE Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic ***,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic *** is a challenging process since it must be completed effectively and *** research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical *** the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic *** predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be *** predict genetic disease,deep and machine learning approaches are *** most productive tool model provides more precise *** simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation *** approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives.

关键词： Genetic disorder machine learning deep learning single gene inheritance gene disorder mitochondrial gene inheritance disorder