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Asian Herpetological Research 2011年第4期2卷 245-250页

作者： Fozia tabassum Muhammad RAIS Maqsood ANWAR Tariq MEHMOOD Iftikhar HUSSAIN Shahid ALI KHAN Department of Wildlife Management Pir Mehr Ali Shah Arid Agriculture University

The population density and breeding of two frog species, i. e., the Skittering Frog （Euphlyctis eyanophlyctis） and the Bull Frog （Hoplobatrachus tigerinus） were studied at Rawal Lake, Islamabad, Pakistan, by using visual encounter method from September 2009 to August 2010. Mean population density for the two frogs was 1.55 ± 0.44 frogs per ha, with that for the Skittering Frog being 1.09 ± 0.33 frogs/ha and that of the Bull Frog 0.46 ± 0.11 frog/ha, respectively. It is concluded that both frog species are explosive breeders, i. e., their breeding activities were confined to the first showers of the monsoon season. The mean spawn weight of the Skittering Frog was 1.5 g with more than 1000 eggs in each spawn, while that of the Bull Frog was 0.26 g with less than 1000 eggs in a spawn. The spawning sites of the two species were investigated in detail. Generally, no threat to their populations was observed. However, the opening of the spillway of Rawal Dam following the torrential rain destroyed the breeding sites of the frogs. It is maintained that the event did not produce any significant impact on their populations and breeding as the two species were quite common.

关键词： Ranidae population status breeding habitat destruction

Bit Rate Reduction in Cloud Gaming Using Object Detection Technique

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Computers, Materials & Continua 2021年第9期68卷 3653-3669页

作者： Daniyal Baig Tahir Alyas Muhammad Hamid Muhammad Saleem Saadia Malik Nadia tabassum Natash Ali Mian Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan School of Computer and Information Technology Beaconhouse National University Lahore53700Pakistan

The past two decades witnessed a broad-increase in web technology and on-line *** the broadband confinements is viewed as one of the most significant variables that prompted new gaming *** immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud *** internet capabilities are enhanced new ways of gaming are being used to improve the gaming *** cloud-based video gaming,game engines are hosted in cloud gaming data centers,and compressed gaming scenes are rendered to the players over the internet with updated *** such systems,the task of transferring games and video compression imposes huge computational complexity is required on cloud *** basic problems in cloud gaming in particular are high encoding time,latency,and low frame rates which require a new methodology for a better *** improve the bandwidth issue in cloud games,the compression of video sequences requires an alternative mechanism to improve gaming adaption without input *** this paper,the proposed improved methodology is used for automatic unnecessary scene detection,scene removing and bit rate reduction using an adaptive algorithm for object detection in a game *** a result,simulations showed without much impact on the players’quality experience,the selective object encoding method and object adaption technique decrease the network latency issue,reduce the game streaming bitrate at a remarkable scale on different *** proposed algorithm was evaluated for three video game *** this paper,achieved 14.6%decrease in encoding and 45.6%decrease in bit rate for the first video game scene.

关键词： Video encoding object detection bit rate reduction game video motion estimation computational complexity

Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

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Computers, Materials & Continua 2021年第6期67卷 3129-3141页

作者： Nadia tabassum Allah Ditta Tahir Alyas Sagheer Abbas Hani Alquhayz Natash Ali Mian Muhammad Adnan Khan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science NCBA&ELahore54000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia School of Computer and Information Technology Beaconhouse National UniversityTarogilLahore53700Pakistan Faculty of Computing Riphah School of Computing&InnovationRiphah International University Lahore CampusLahore54000Pakistan

Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the *** design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter *** a hyperconverged cloud ecosystem environment,building high-reliability cloud applications is a challenging *** selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud *** emergence of cloud computing is significantly reshaping the digital ecosystem,and the numerous services offered by cloud service providers are playing a vital role in this *** software-based unified utilities combine storage virtualization,compute virtualization,and network *** availability of the latter has also raised the demand for *** to the diversity of services,the respective quality parameters are also in abundance and need a carefully designed mechanism to compare and identify the critical,common,and impactful *** is also necessary to reconsider the market needs in terms of service requirements and the QoS provided by various *** research provides a machine learning-based mechanism to monitor the QoS in a hyperconverged environment with three core service parameters:service quality,downtime of servers,and outage of cloud services.

关键词： Cloud computing hyperconverged neural network QoS parameter cloud service providers ranking prediction

Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第5期67卷 2585-2600页

作者： Gulzar Ahmad Saad Alanazi Madallah Alruwaili Fahad Ahmad Muhammad Adnan Khan Sagheer Abbas Nadia tabassum School of Computer Science NCBA&ELahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Department of Basic Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan

Security is a significant issue for everyone due to new and creative ways to commit *** Closed-Circuit Television(CCTV)systems are being installed in offices,houses,shopping malls,and on streets to protect *** monitor CCTV;however,it is difficult for a single person to monitor the actions of multiple people at one ***,there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study,we have designed a new Intelligent Ammunition Detection and Classification(IADC)system using Convolutional Neural Network(CNN).The proposed system is designed to identify persons carrying weapons and ammunition using CCTV *** weapons are identified,the cameras sound an *** the proposed IADC system,CNN was used to detect firearms and *** CNN model which is a Deep Learning technique consists of neural networks,most commonly applied to analyzing visual imagery has gained popularity for unstructured(images,videos)data ***,this system generates an early warning through detection of ammunition before conditions become *** the faster and earlier the prediction,the lower the response time,loses and potential *** proposed IADC system provides better results than earlier published models like VGGNet,OverFeat-1,OverFeat-2,and OverFeat-3.

关键词： CCTV CNN IADC deep learning intelligent ammunition detection DnCNN

Mass Transfer： a Deciding Factor for the Multiplicity of an Event in Deep Inelastic Collisions

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Chinese Physics Letters 2006年第10期23卷 2714-2716页

作者： tabassum Nasir J.J.Baluch E.U.Khan F.N.Khattak M.I.Shahzad Department of Physics Gomal University D.I. Khan Pakistan Department of Physics CIIT Islamabad Pakistan U.W.C. Gomal UniversityD.I.KhanPakistan physics Research Division PINSTECH Islamabad Pakistan

Intermediate stage of the three and four-pronged events is investigated in the reaction ^208Pb＋^197Au at beam energy 11.67 MeV/u. Multiprong events are analysed numerically using an empirical mass-dependent velocityrauge relation. Using the measured three-dimensional coordinates of correlated tracks, it is possible to determine the quantities such as mass transfer and total kinetic energy loss. These quantities are then used to study the intermediate stage of the reaction. It has been observed that mass transfer and total kinetic energy loss at the first step of the reaction decides the multiplicity of an event at the second stage of the sequential fission process.

关键词： HEAVY-ION INTERACTION MICA TRACK DETECTORS CHANNELS FISSION U-238

ANN Based Novel Approach to Detect Node Failure in Wireless Sensor Network

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Computers, Materials & Continua 2021年第11期69卷 1447-1462页

作者： Sundresan Perumal Mujahid tabassum Ganthan Narayana Suresh Ponnan Chinmay Chakraborty Saju Mohanan Zeeshan Basit Mohammad Tabrez Quasim Faculty of Science and Technology Universiti Sains Islam MalaysiaNilai71800Malaysia Advanced Informatics Department Razak Faculty of Technology and InformaticsUniversiti Teknologi MalaysiaKuala Lumpur54100Malaysia Department of ECE Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology600062TamilnaduIndia Department Electronics&Communication Engineering Birla Institute of TechnologyMesraJharkhandIndia Faulty of Information Technology University of Technology and Applied SciencesMuscat133Oman College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

A wireless sensor network(WSN)consists of several tiny sensor nodes to monitor,collect,and transmit the physical information from an environment through the wireless *** node failure is considered as one of the main issues in the WSN which creates higher packet drop,delay,and energy consumption during the *** the node failure occurred mostly due to persistent energy exhaustion during transmission of data *** this paper,Artificial Neural Network(ANN)based Node Failure Detection(NFD)is developed with cognitive radio for detecting the location of the node *** ad hoc on-demand distance vector(AODV)routing protocol is used for transmitting the data from the source node to the base ***,the Mahalanobis distance is used for detecting an adjacent node to the node failure which is used to create the routing path without any node *** performance of the proposed ANN-NFD method is analysed in terms of throughput,delivery rate,number of nodes alive,drop rate,end to end delay,energy consumption,and overhead ***,the performance of the ANN-NFD method is evaluated with the header to base station and base station to header(H2B2H)*** packet delivery rate of the ANN-NFD method is 0.92 for 150 nodes that are high when compared to the H2B2H ***,the ANN-NFD method provides data consistency during data transmission under node and battery failure.

关键词： AODV artificial neural network artificial intelligence Mahalanobis distance node failure throughput wireless sensor network

In vitro antioxidant and anti-cancer activities and phytochemical analysis of Commelina benghalensis L. root extracts

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Asian Pacific Journal of Tropical Biomedicine 2020年第9期10卷 417-425页

作者： Riffat Batool Ejaz Aziz Javed Iqbal Hina Salahuddin Benny Kwong-Huat Tan Saira tabassum Tariq Mahmood University Institute of Biochemistry and Biotechnology PMAS-UAAR RawalpindiPakistan Department of Botany GDC KhanpurHaripur Pakistan Department of Plant Sciences Faculty of Biological SciencesQuaid-i-Azam UniversityIslamabad-45320Pakistan Department of Zoology University of OkaraOkaraPakistan Department of Pharmacology Yong Loo Lin School of MedicineNational University of SingaporeSingapore Department of Biotechnology Faculty of Biological SciencesQuaid-i-Azam UniversityIslamabad-45320Pakistan

Objective:To explore antioxidant potential,anti-cancer activity,and phytochemicals of Commelina benghalensis ***:The roots of Commelina benghalensis were extracted in different solvents(methanol,ethanol,benzene,chloroform,n-hexane)with a range of *** activity was evaluated by reducing power assay,DPPH radical scavenging activity and phosphomolybdenum method,cytotoxicity by MTT assay,apoptotic and cell cycle analysis by flow cytometry,migratory and invasive potential by wound scratch assay and invasion assay,respectively,functional groups analysis by FT-IR spectroscopy and phytochemicals by aluminum chloride colorimetric and FolinCiocalteu ***:The extracts showed worthy antioxidant *** chloroform extract demonstrated the most significant cytotoxic effect on MDA-MB-231(breast cancer)cell line,induced apoptosis and reduced migratory and invasive potential of MDA-MB-231 *** and ethanol extracts presented good yield of total phenolic and total flavonoid *** FTIR spectroscopic studies revealed different characteristic peak values with various functional compounds such as alkenes,alkanes,aliphatic amines,aromatics,alkyl halides,carboxylic acid,alcohols,ester,aldehydes and ***:The results demonstrate the potential use of Commelina benghalensis as a good antioxidant with significant anticancer effect.

关键词： Commelina benghalensis Anti-cancer Antioxidant FT-IR

Resource Based Automatic Calibration System (RBACS) Using Kubernetes Framework

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Intelligent Automation & Soft Computing 2023年第1期35卷 1165-1179页

作者： Tahir Alyas Nadia tabassum Muhammad Waseem Iqbal Abdullah S.Alshahrani Ahmed Alghamdi Syed Khuram Shahzad Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science&IT Virtual University of PakistanLahore54000Pakistan Department of Software Engineering The Superior UniversityLahore54000Pakistan Department of Computer Science&Artificial Intelligence College of Computer Science&EngineeringUniversity of Jeddah21493Saudi Arabia Department of Software Engineering College of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia Department of Informatics&Systems University of Management&TechnologyLahore54000Pakistan

Kubernetes,a container orchestrator for cloud-deployed applications,allows the application provider to scale automatically to match thefluctuating intensity of processing *** cluster technology is used to encapsulate,isolate,and deploy applications,addressing the issue of low system reliability due to interlocking ***-based platforms usually entail users define application resource supplies for eco container *** is a constant problem of over-service in data centers for cloud service *** operating costs and incompetent resource utilization can occur in a waste of *** revolutionized the orchestration of the container in the cloud-native *** can adaptively manage resources and schedule containers,which provide real-time status of the cluster at runtime without the user’s *** clusters face unpredictable traffic,and the cluster performs manual expansion configuration by the *** to operational delays,the system will become unstable,and the service will be *** work proposed an RBACS that vigorously amended the distribution of containers operating in the entire Kubernetes *** allocation pattern is analyzed with the Kubernetes *** estimate the overall cost of RBACS,we use several scientific benchmarks comparing the accomplishment of container to remote node migration and on-site *** experiments ran on the simulations to show the method’s effectiveness yielded high precision in the real-time deployment of resources in eco *** to the default baseline,Kubernetes results in much fewer dropped requests with only slightly more supplied resources.

关键词： Docker container virtualization cloud resource kubernetes

Incorporating the mutational landscape of SARS-COV-2 variants and case-dependent vaccination rates into epidemic models

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Infectious Disease Modelling 2022年第2期7卷 75-82页

作者： Mohammad Mihrab Chowdhury Md Rafiul Islam Md Sakhawat Hossain Nusrat tabassum Angela Peace Department of Mathematics and Statistics Texas Tech UniversityLubbockTXUSA Department of Mathematics Iowa State UniversityAmesIAUSA

Coronavirus Disease(COVID-19),which began as a small outbreak in Wuhan,China,in December 2019,became a global pandemic within months due to its high *** the absence of pharmaceutical treatment,various non-pharmaceutical interventions(NPIs)to contain the spread of COVID-19 brought the entire world to a *** almost a year of seemingly returning to normalcy with the world's quickest vaccine development,the emergence of more infectious and vaccine resistant coronavirus variants is bringing the situation back to where it was a year *** the light of this new situation,we conducted a study to portray the possible scenarios based on the three key factors:impact of interventions(pharmaceutical and NPIs),vaccination rate,and vaccine *** our study,we assessed two of the most crucial factors,transmissibility and vaccination rate,in order to reduce the spreading of COVID-19 in a simple but effective *** order to incorporate the time-varying mutational landscape of COVID-19 variants,we estimated a weighted transmissibility composed of the proportion of existing strains that naturally vary over ***,we consider time varying vaccination rates based on the number of daily new *** method for calculating the vaccination rate from past active cases is an effective approach in forecasting probable future scenarios as it actively tracks people's attitudes toward immunization as active case *** simulations show that if a large number of individuals cannot be vaccinated by ensuring high efficacy in a short period of time,adopting NPIs is the best approach to manage disease transmission with the emergence of new vaccine breakthrough and more infectious variants.

关键词： Break-through variants Waning immunity Reinfection Non-pharmaceutical interventions(NPIs) Vaccination rate

Design and Development of Weather Monitoring and Controlling System for a Smart Agro (Farm)

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Intelligent Control and Automation 2018年第3期9卷 65-73页

作者： Sumya tabassum Afzal Hossain Department of Computer Science and Engineering World University of Bangladesh Dhaka Bangladesh

Weather plays an important role in our farming system. In greenhouse or internal farming system, weather monitoring is important. For better production and maintenance, it is important to monitor. This project is developed for forecasting weather parameters like humidity, temperature, soil moisture, and raid detection. Humidity and temperature are monitored for internal temperature. The soil is the most important part of a greenhouse. In this project, soil moisture level is monitored and controlled for maintaining soil moisture level. Rain detection is used in outside of the farm. It detects rainwater and sends a message to the server. It is monitored by using a local server. In remote routing area, it also can be monitored and controlled without physical existence. Also, it is a low-cost weather monitoring system for the agro farm. The Raspberry Pi is a low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. The monitoring system could be designed by using the sensor. It is useful for forecasting and data analysis process. In this project weather forecasting system is designed by using a sensor. In this project, Raspberry Pi work like a remote monitoring and controlling system for the agro farm.

关键词： Weather Forecast Monitor Agro Farm Raspberry Pi Sensor