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Consequences of Rényi entropy on the thermal geometries and Hawking evaporation of topological dyonic dilaton black hole

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Communications in Theoretical Physics 2024年第2期76卷 102-110页

作者： muhammad yasir Xia Tiecheng muhammad Usman Shahid Chaudhary Department of Mathematics Shanghai University and Newtouch Center for Mathematics of Shanghai UniversityShanghai200444China Department of Natural Sciences and Humanities University of Engineering and Technology LahoreNew CampusPakistan

The thermodynamics of black holes(BHs)has had a profound impact on theoretical physics,providing insight into the nature of gravity,the quantum structure of spacetime and the fundamental laws governing the *** this study,we investigate thermal geometries and Hawking evaporation of the recently proposed topological dyonic dilaton BH in anti-de Sitter(Ad S)*** consider Rényi entropy and obtain the relations for pressure,heat capacity and Gibbs free energy and observe that the Rényi parameter and dilaton field play a vital role in the phase transition and stability of the ***,we use Weinhold,Ruppeiner and Hendi Panahiyah Eslam Momennia models to evaluate the scalar curvature of the BH and find out that the divergence points of the scalar curvature coincides with the zero of specific ***,using Stefan–Boltzmann law,we determine that the BH without a dilaton field evaporates far more quickly compared to the dilaton BH in Ad S space.

关键词： topological dyonic dilaton black hole phase transition thermal geometry Hawking evaporation

3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data

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Computers, Materials & Continua 2022年第9期72卷 5777-5791页

作者： Siddiqui muhammad yasir Amin muhammad Sadiq Hyunsik Ahn Department of Robot System Engineering Tongmyong UniversityBusan48520Korea Department of Information&Technology University of Central PunjabLahorePakistan Department of Electronics Engineering Tongmyong UniversityBusan48520Korea

3D object recognition is a challenging task for intelligent and robot systems in industrial and home indoor *** is critical for such systems to recognize and segment the 3D object instances that they encounter on a frequent *** computer vision,graphics,and machine learning fields have all given it a lot of ***,3D segmentation was done with hand-crafted features and designed approaches that didn’t achieve acceptable performance and couldn’t be generalized to large-scale *** learning approaches have lately become the preferred method for 3D segmentation challenges by their great success in 2D computer ***,the task of instance segmentation is currently less *** this paper,we propose a novel approach for efficient 3D instance segmentation using red green blue and depth(RGB-D)data based on deep *** 2D region based convolutional neural networks(Mask R-CNN)deep learning model with point based rending module is adapted to integrate with depth information to recognize and segment 3D instances of *** order to generate 3D point cloud coordinates(x,y,z),segmented 2D pixels(u,v)of recognized object regions in the RGB image are merged into(u,v)points of the depth ***,we conducted an experiment and analysis to compare our proposed method from various points of view and *** experimentation shows the proposed 3D object recognition and instance segmentation are sufficiently beneficial to support object handling in robotic and intelligent systems.

关键词： Instance segmentation 3D object segmentation deep learning point cloud coordinates

Optimal‑Control‑Based Eco‑Driving Solution for Connected Battery Electric Vehicle on a Signalized Route

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Automotive Innovation 2023年第4期6卷 586-596页

作者： Hafiz muhammad yasir Naeem yasir Awais Butt Qadeer Ahmed Aamer Iqbal Bhatti Control and Signal Processing Research Group(CASPR) Department of Electrical EngineeringCapital University of Science and Technology(CUST)Islamabad ExpresswayKahuta RoadZone‑V IslamabadIslamabadPakistan Department of Electrical Engineering National University of Technology(NUTECH)IslamabadPakistan Center for Automotive Research Ohio State UniversityColumbusOHUSA

Speed advisory systems have been used for connected vehicles to optimize energy ***,for their practical utilization,presence of preceding vehicles and signals must be taken into ***,for Battery Electric Vehicles(BEVs),factors that deteriorate battery’s life cycle and discharging time must also be *** paper proposes an eco-driving control for connected BEV with traffic signals and other safety *** signals are considered as interior point constraints,while inter-vehicle distance with preceding vehicles,vehicle speed and battery charging/discharging limits,are considered as state safety ***-forward simulator based Speed Guidance Model is applied to follow the optimized velocity under powertrain safety *** of the proposed methodology is tested on a 5.3-km route in Islamabad,*** traffic data using Simulation of Urban Mobility under different driving scenarios is *** the proposed method,around 21% energy can be saved compared to the preceding vehicles that followed their random velocities under the same traffic and route *** means the EV controlled by the proposed method can have longer driving ***,the host BEV has crossed signals during their green time without collision with preceding *** charging rates and terminal Depth of Discharge indicate less number of charging cycles,thus proving the usefulness of the proposed solution as battery’s lifesaving strategy.

关键词： Eco-driving First-order Thevenin model Inter-vehicle safety constraint Interior point constraints

Thermal analysis and Joule-Thomson expansion of black hole exhibiting metric-affine gravity

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Chinese Physics C 2024年第1期48卷 173-183页

作者： muhammad yasir 夏铁成 Faisal Javed G.Mustafa Department of Mathematics Shanghai UniversityShanghai 200444China Department of Physics Zhejiang Normal UniversityJinhua 321004China Zhejiang Institute of Photoelectronics and Zhejiang Institute for Advanced Light Source Zhejiang Normal UniversityJinhua 321004China New Uzbekistan University Mustaqillik Ave.54Tashkent 100007Uzbekistan

This study examines a recently hypothesized black hole,which is a perfect solution of metric-affine gravity with a positive cosmological constant,and its thermodynamic features as well as the Joule-Thomson *** develop some thermodynamical quantities,such as volume,Gibbs free energy,and heat capacity,using the entropy and Hawking *** also examine the first law of thermodynamics and thermal fluctuations,which might eliminate certain black hole *** this regard,a phase transition from unstable to stable is conceivable when the first law order corrections are *** addition,we study the efficiency of this system as a heat engine and the effect of metric-affine gravity for the physical parameters q_(e),q_(m),κ_(s),κ_(d),and κ_(sh).Further,we study the Joule-Thomson coefficient and inversion temperature,and observe the isenthalpic curves in the Ti−Pi *** metric-affine gravity,a comparison is made between a van der Waals fluid and a black hole to study their similarities and differences.

关键词： black hole in metric-affine gravity thermodynamics Joule-Thomson expansion

Entropies of the Y-Junction Type Nanostructures

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2665-2679页

作者： Ricai Luo Aisha Javed muhammad Azeem muhammad Kamran Jamil Hassan Raza muhammad yasir Ilyas School of Mathematics and Physics Hechi UniversityYizhou456300China Abdus Salam School of Mathematical Sciences Government College UniversityLahore54000Pakistan Department of Mathematics Riphah Institute of Computing and Applied SciencesRiphah International UniversityLahore54000Pakistan School of Mathematical Sciences College of Science and TechnologyWenzhou-Kean UniversityWenzhou325060China Department of Physics COMSATS University IslamabadLahore54000Pakistan

Recent research on nanostructures has demonstrated their importance and application in a variety of *** are used directly or indirectly in drug delivery systems,medicine and pharmaceuticals,biological sensors,photodetectors,transistors,optical and electronic devices,and so *** discovery of carbon nanotubes with Y-shaped junctions is motivated by the development of future advanced electronic *** of their interactionwithY-junctions,electronic switches,amplifiers,and three-terminal transistors are of particular *** is a concept that determines the uncertainty of a system or *** concepts are also used in biology,chemistry,and applied *** on the requirements,entropy in the form of a graph can be classified into several *** 1955,graph-based entropy was *** of the types of entropy is edgeweighted *** examined the abstract form of Y-shaped junctions in this *** edge-weight-based entropy formulas for the generic view of Y-shaped junctions were created,and some edge-weighted and topological index-based concepts for Y-shaped junctions were discussed in the present paper.

关键词： Y-shaped junctions three-terminal junctions nanostuctures entropy carbon nanotube

Analysis of Classical Encryption Techniques in Cloud Computing

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Tsinghua Science and Technology 2016年第1期21卷 102-113页

作者： muhammad yasir Shabir Asif Iqbal Zahid Mahmood Ata Ullah Ghafoor Department of Computer Science University of Management Science and Information School of Computer & Communication Engineering University of Science and TechnologyBeijing Department of Computer Science National University of Modern Languages

Cloud computing has become a significant computing model in the IT industry. In this emerging model,computing resources such as software, hardware, networking, and storage can be accessed anywhere in the world on a pay-per-use basis. However, storing sensitive data on un-trusted servers is a challenging issue for this model. To guarantee confidentiality and proper access control of outsourced sensitive data, classical encryption techniques are used. However, such access control schemes are not feasible in cloud computing because of their lack of flexibility, scalability, and fine-grained access control. Instead, Attribute-Based Encryption（ABE） techniques are used in the cloud. This paper extensively surveys all ABE schemes and creates a comparison table for the key criteria for these schemes in cloud applications.

关键词： cloud computing access control fine-grained access weighted attribute

Output Linearization of Single-Input Single-Output Fuzzy System to Improve Accuracy and Performance

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Computers, Materials & Continua 2023年第5期75卷 2413-2427页

作者： Salah-ud-din Khokhar QinKe Peng muhammad yasir Noor Department of Automation Science and Technology(System Engineering Institute) School of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’anShaanxi710049China Department of Computer Science G.C.UniversityLahore54000PunjabPakistan Department of Physics(Electronics) G.C.UniversityLahore54000PunjabPakistan

For fuzzy systems to be implemented effectively,the fuzzy membership function(MF)is essential.A fuzzy system(FS)that implements precise input and output MFs is presented to enhance the performance and accuracy of single-input single-output(SISO)FSs and introduce the most applicable input and output MFs protocol to linearize the fuzzy system’s *** a variety of non-linear techniques,a SISO FS is *** results of FS experiments conducted in comparable conditions are then *** simulated results and the results of the experimental setup agree fairly *** findings of the suggested model demonstrate that the relative error is abated to a sufficient range(≤±10%)and that the mean absolute percentage error(MPAE)is reduced by around 66.2%.The proposed strategy to reduceMAPE using an FS improves the system’s performance and control *** using the best input and output MFs protocol,the energy and financial efficiency of every SISO FS can be improved with very little tuning of *** proposed fuzzy system performed far better than other modern days approaches available in the literature.

关键词： Mean absolute percentage error membership functions relative error fuzzy system

A new decomposition model of sea level variability for the sea level anomaly time series prediction

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Journal of Oceanology and Limnology 2023年第5期41卷 1629-1642页

作者： Qinting SUN Jianhua WAN Shanwei LIU Jinghui JIANG yasir muhammad College of Oceanography and Space Informatics China University of Petroleum(East China)Qingdao 266580China Technology Innovation Center for Maritime Silk Road Marine Resources and Environment Networked Observation Ministry of Natural ResourcesQingdao 266580China

Rising sea level is of great significance to coastal societies;predicting sea level extent in coastal regions is *** carrying out predictions,the subsequences obtained using decomposition methods may exhibit a certain regularity and therefore can provide multidimensional information that can be used to improve prediction *** decomposition methods such as seasonal and trend decomposition using Loess(STL)focus mostly on the fluctuating trend of time series and ignore its impact on *** in the signal decomposition domain,such as variational mode decomposition(VMD),have no physical *** response to the above problems,a new decomposition method for sea level anomaly time series prediction(DMSLAP)is *** this method,the trend term in a time series can be isolated and the effects of abnormal sea level change behaviors can be *** decompose multiperiod characteristics using this method while maintaining the smoothness of the analyzed *** altimetry data from 1993 to 2020 are used in experiments conducted in the study *** results are then compared with predictions obtained using existing decomposition methods such as the STL and VMD methods and time varying filtering based on empirical mode decomposition(TVF-EMD).The performance of DMSLAP combined with a prediction method resulted in optimal sea level anomaly(SLA)predictions,with a minimum root mean square error(RMSE)of 1.40 cm and a maximum determination coefficient(R^(2))of 0.93 during *** DMSLAP method was more accurate when predicting 1-year data and 3-year *** TVF-EMD and DMSLAP methods had comparable accuracies,and the periodic term decomposed by the DMSLAP method was more in line with the actual law than that derived using the TVF-EMD ***,DMSLAP can decompose SLA time series better than existing methods and is an effective tool for obtaining short-term SLA prediction.

关键词： time series decomposition satellite altimetry China Sea and its vicinity sea level change

Ultra-Low Power 1 Volt Small Size 2.4 GHz CMOS RF Transceiver Design for Wireless Sensor Node

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Journal of Beijing Institute of Technology 2018年第4期27卷 584-591页

作者： muhammad yasir Faheem Shun'an Zhong Abid Ali Minhas muhammad Basit Azeem School of Information and Electronics Beijing Institute of TechnologyBeijing College of Computer and Information Systems Al Yamamah University Department of Mechatronics Engineering University of Engineering and Technology

Ultra-low power transceiver design is proposed for wireless sensor node used in the wireless sensor network（WSN）.Typically,each sensor node contains a transceiver so it is required that both hardware and software designs of WSN node must take care of energy consumption during all modes of operation including active/sleep modes so that the operational life of each node can be increased in order to increase the lifetime of *** current declared size of the wireless sensor node is of millimeter order,excluding the power source and crystal *** have proposed a new 2.4 GHz transceiver that has five blocks namely XO,PLL,PA,LNA and *** proposed transceiver incorporates less number of low-drop outs（LDOs）*** size of the transceiver is reduced by decreasing the area of beneficiary components up to 0.41 mm;of core area in such a way that some functions are optimally distributed among other *** proposed design is smaller in size and consumes less power,<1 mW,compared to other *** operating voltage has also been reduced to 1 *** transceiver is most efficient and will be fruitful for the wireless networks as it has been designed by considering modern requirements.

关键词： low-drop outs(LDOs) transceiver metal oxide semiconductor field effect transistor(MOSFET) wireless sensor networks(WSN)