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International Journal of Disaster Risk Science 2020年第1期11卷 119-132页

作者： Md Morshedul Alam Zanbo Zhu berna Eren Tokgoz Jing Zhang Seokyon Hwang Department of Industrial Engineering University of LouisvilleLouisvilleKY 40292USA Department of Computer Science Lamar UniversityBeaumontTX 77710USA Department of Industrial Engineering Lamar UniversityBeaumontTX 77710USA Construction Management Program Lamar UniversityBeaumontTX 77710USA

The utility poles of electric power distribution lines are very vulnerable to many natural hazards, while power outages due to pole failures can lead to adverse economic and social consequences. Utility companies,therefore, need to monitor the conditions of poles regularly and predict their future conditions accurately and promptly to operate the distribution system continuously and *** article presents a novel pole monitoring method that uses state-of-the-art deep learning and computer vision methods to meet the need. The proposed method automatically captures the current pole inclination angles using an unmanned aerial vehicle. The method calculates the bending moment exerted on the poles due to wind and gravitational forces, as well as cable weight, to compare it with the moment of rupture. The method also includes a machine learning-based model that is built by using a support vector machine to predict the resilience conditions of a pole after a wind event in a faster manner. The three modules of the proposed method are effective tools to classify pole conditions and are expected to enable utility companies to increase the resilience of their systems.

关键词： Angular deflection Machine learning Support vector machine Texas Utility pole resilience

Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations

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Computers, Materials & Continua 2022年第3期70卷 5213-5232页

作者： Imran Ashraf Sadia din Soojung Hur Yongwan Park Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Precise information on indoor positioning provides a foundation for position-related customer *** the emergence of several indoor positioning technologies such as ultrawideband,infrared,radio frequency identification,Bluetooth beacons,pedestrian dead reckoning,and magnetic field,Wi-Fi is one of the most widely used ***,Wi-Fi fingerprinting is the most popular method and has been researched over the past two ***-Fi positioning faces three core problems:device heterogeneity,robustness to signal changes caused by human mobility,and device attitude,i.e.,varying *** existing methods do not cover these aspects owing to the unavailability of publicly available *** study introduces a dataset that includes the Wi-Fi received signal strength(RSS)gathered using four different devices,namely Samsung Galaxy S8,S9,A8,LG G6,and LG G7,operated by three surveyors,including a female and two *** addition,three orientations of the smartphones are used for the data collection and include multiple buildings with a multifloor *** levels of human mobility have been considered in dynamic *** analyze the time-related impact on Wi-Fi RSS,data over 3 years have been considered.

关键词： Wi-fi positioning dataset smartphone sensors benchmark analysis indoor positioning and localization spatio-temporal data

Analytical and Numerical Approaches to Squeezing Flow and Heat Transfer between Two Parallel Disks with Velocity Slip and Temperature Jump

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Chinese Physics Letters 2012年第11期29卷 152-156页

作者： Amjad Hussain Syed Tauseef Mohyud-din Taqi Ahmed Cheema Department of Mathematics Zhejiang UniversityHangzhou 310027 Department of Mathematics HITEC UniversityTaxila CantPakistan School of Mechanical Engineering Kyungpook National University1370 Sankyuk-dongBuk-guDeagu702-701Korea

Analytic and numerical techniques are presented to analyze the influence of temperature and wall slip conditions on the unsteady flow and heat transfer via viscous fluid squeezed between two parallel disks in the presence of an applied magnetic *** governing partial differential equations for momentum and heat transfer are reduced to a system of coupled nonlinear ordinary differential equations using similarity *** homotopy analysis method(HAM)is then utilized to find explicit series solution of the resulting *** convergence of the obtained solution is carefully *** check the reliability of the method the same problem is also solved by using the shooting method and an excellent agreement is observed between the two sets of *** of various parameters of practical importance on the velocity and temperature profiles is studied and portrayed *** of skin friction coefficient and local Nusselt number are tabulated by assigning different values to various emerging parameters.

关键词： field ordinary unsteady

The Mathematical Model for Streptococcus suis Infection in Pig-Human Population with Humidity Effect

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Computers, Materials & Continua 2022年第5期71卷 2981-2998页

作者： Inthira Chaiya Kamonchat Trachoo Kamsing Nonlaopon din Prathumwan Department of Mathematics Faculty of ScienceMahasarakham UniversityMahasarakham44150Thailand Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

In this paper,we developed a mathematical model for Streptococcus suis,which is an epidemic by considering the moisture that affects the *** disease is caused by Streptococcus suis infection found in pigs which can be transmitted to *** patients of Streptococcus suis were generally found in adults males and the elderly who contacted pigs or who ate uncooked *** human cases,the infection can cause a severe illness and *** disease has an impact to the financial losses in the swine *** the development of models for this disease,we have divided the population into 7 related groups which are susceptible pig compartment,infected pig compartment,quarantined pig compartment,recovered pig compartment,susceptible human compartment,infected human compartment,and recovered human *** that,we use this model and a quarantine strategy to analyze the spread of the *** addition,the basic reproduction number R0 is determined by using the next-generation matrix which can analyze the stability of the *** numerical simulations of the proposed model are illustrated to confirm the results from *** results showed that there is an effect from moisture to the disease *** the moisture increases the disease infection also increases.

关键词： Streptococcus suis mathematical model stability analysis infectious disease reproduction number

DARTS-Drone and Artificial Intelligence Reconsolidated Technological Solution for Increasing the Oil and Gas Pipeline Resilience

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International Journal of Disaster Risk Science 2022年第5期13卷 810-821页

作者： Premkumar Ravishankar Seokyon Hwang Jing Zhang Ibrahim X.Khalilullah berna Eren-Tokgoz Department of Industrial and Systems Engineering Lamar UniversityBeaumontTX 77710USA Construction Management Program Lamar UniversityBeaumontTX 77710USA Department of Computer Science Lamar UniversityBeaumontTX 77710USA

The need for safe operation and effective maintenance of pipelines grows as oil and gas demand ***,it is increasingly imperative to monitor and inspect the pipeline system,detect causes contributing to developing pipeline damage,and perform preventive maintenance in a timely ***,pipeline inspection is performed at pre-determined intervals of several months,which is not sufficiently robust in terms of *** research proposes a drone and artificial intelligence reconsolidated technological solution(DARTS) by integrating drone technology and deep learning *** solution is aimed to detect the targeted potential root problems-pipes out of alignment and deterioration of pipe support system-that can cause critical pipeline failures and predict the progress of the detected problems by collecting and analyzing image data *** test results show that DARTS can be effectively used to support decision making for preventive pipeline maintenance to increase pipeline system s afety and resilience.

关键词： Artifcial intelligence Asset management Drone application Midstream industry Pipeline resilience Predictive maintenance

Energy-Efficient Scheduling Based on Task Migration Policy Using DPM for Homogeneous MPSoCs

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Computers, Materials & Continua 2023年第1期74卷 965-981页

作者： Hamayun Khan Irfan Ud din Arshad Ali Sami Alshmrany Department of Electrical Engineering Faculty of Engineering&Technology Superior University Lahore54000Pakistan Department of Computer Science Faculty of Computer Science&IT Superior University Lahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahAl Madinah Al Munawarah42351Saudi Arabia

Increasing the life span and efficiency of Multiprocessor System on Chip(MPSoC)by reducing power and energy utilization has become a critical chip design challenge for multiprocessor *** the advancement of technology,the performance management of central processing unit(CPU)is *** densities and thermal effects are quickly increasing in multi-core embedded technologies due to shrinking of chip *** energy consumption reaches a threshold that creates a delay in complementary metal oxide semiconductor(CMOS)circuits and reduces the speed by 10%–15%because excessive on-chip temperature shortens the chip’s life *** this paper,we address the scheduling&energy utilization problem by introducing and evaluating an optimal energy-aware earliest deadline first scheduling(EA-EDF)based technique formultiprocessor environments with task migration that enhances the performance and efficiency in multiprocessor systemon-chip while lowering energy and power *** selection of core andmigration of tasks prevents the system from reaching itsmaximumenergy utilization while effectively using the dynamic power management(DPM)*** in the execution of tasks the temperature and utilization factor(u_(i))on-chip increases that dissipate more *** proposed approach migrates such tasks to the core that produces less heat and consumes less power by distributing the load on other cores to lower the temperature and optimizes the duration of idle and sleep times across multiple *** performance of the EA-EDF algorithm was evaluated by an extensive set of experiments,where excellent results were reported when compared to other current techniques,the efficacy of the proposed methodology reduces the power and energy consumption by 4.3%–4.7%on a utilization of 6%,36%&46%at 520&624 MHz operating frequency when particularly in comparison to other energy-aware methods for *** are running and accurately scheduled to make an energy-efficient

关键词： Dynamic power management dynamic voltage&frequency scaling dynamic thermal management multiprocessor system on chip complementary metal oxide semiconductor reliability

Herbaceous peony in warm climate:Modelling stem elongation and growers profit responses to dormancy conditions

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Information Processing in Agriculture 2016年第3期3卷 175-182页

作者： Menashe Cohen Rina Kamenetsky Gregory Yom din Northern R&D MigalP.O.Box 831Kiryat Shmona 11016Israel Institute of Plant Science Agricultural Research OrganizationVolcani CenterBet Dagan 50250Israel Open University of Israel RaananaIsrael Faculty of Exact Sciences Tel Aviv UniversityTel AvivIsrael

We analysed the data collected for herbaceous peony cultivated in a warm climate region and stored in winter under three constant chilling *** used the quadratic regression model to describe the stem elongation responses to winter dormancy conditions,and the logistic function to describe the weekly stems *** predicted maximal stem length from the first model was used as the input parameter for the second *** than 4000 data for various(a)chilling constant temperatures during dormancy,(b)dormancy duration,and(c)germination duration,were *** models were applied to determine the optimal number of chill *** this purpose,two criteria were used in different versions of the model:the maximal stem length and the maximal profit of *** the two chilling temperatures of 2℃ and 6℃,the optimal values of chill units(in the models of a maximal stem length and maximal profit of farmers)are close to one another,and the values of a maximal stem length and maximal profit are significantly *** the case of the third chilling temperature of 10℃,the model failed to determine the optimal number of chill *** method of inverse confidence intervals for testing the significance of the optimal number of chill units was used.

关键词： Peony Dormancy Regression Logistic function Inverse confidence intervals Profit

Solution to the MHD flow over a non-linear stretching sheet by homotopy perturbation method

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Science China(Physics,Mechanics & Astronomy) 2011年第2期54卷 342-345页

作者： RAFTARI Behrouz MOHYUD-din Syed Tauseef YILDIRIM Ahmet Department of Mathematics Islamic Azad UniversityKermanshah branch Taxila Cantt HITEC University Department of Mathematics Ege University

In this study,by means of homotopy perturbation method(HPM) an approximate solution of the magnetohydrodynamic(MHD) boundary layer flow is *** main feature of the HPM is that it deforms a difficult problem into a set of problems which are easier to *** produces analytical expressions for the solution to nonlinear differential *** obtained analytic solution is in the form of an infinite power *** this work,the analytical solution obtained by using only two terms from HPM *** with the exact solution and the solution obtained by the Pade approximants and shooting method show the high accuracy,simplicity and efficiency of this method.

关键词： boundary layer flow magnetohydrodynamics flow(MHD) nonlinear differential equations homotopy perturbation method

A one-step implicit iterative method for two finite families of asymptotically nonexpansive mappings in a hyperbolic space

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Applied Mathematics(A Journal of Chinese Universities) 2018年第3期33卷 274-286页

作者： Hafiz Fukhar-ud-din Amna Kalsoom Safeer H Khan Department of Mathematics and Statistics King Fahd University of Petroleum and Minerals Department of Mathematics and Statistics International Islamic University Department of Mathematics Statistics and Physics Qatar University

We introduce a one-step implicit iterative method for two finite families of asymptotically nonexpansive mappings in a hyperbolic space and use it to approximate common fixed points of these families. The results presented in this paper are new in the setting of hyperbolic spaces. On top, these are generalizations of several results in literature from Banach spaces to hyperbolic spaces. At the end of the paper, we give an example to validate our results.

关键词： uniformly convex hyperbolic space asymptotically nonexpansive mapping common fixed point strong convergence

Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 496-509页

作者： Ruhul Amin Khalil Nasir Saeed Mohammad Inayatullah Babar Tariqullah Jan Sadia din IEEE Department of Electrical Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawar 25120Pakistan the Department of Electrical Engineering Northern Border UniversityArar 73222Saudi Arabia College of Science and Engineering Hamad Bin Khalifa UniversityDoha 34110Qatar

Localization of sensor nodes in the internet of underwater things(IoUT)is of considerable significance due to its various applications,such as navigation,data tagging,and detection of underwater ***,in this paper,we propose a hybrid Bayesian multidimensional scaling(BMDS)based localization technique that can work on a fully hybrid IoUT network where the nodes can communicate using either optical,magnetic induction,and acoustic *** communication technologies are already used for communication in the underwater environment;however,lacking localization *** and magnetic induction communication achieves higher data rates for short *** the contrary,acoustic waves provide a low data rate for long-range underwater *** proposed method collectively uses optical,magnetic induction,and acoustic communication-based ranging to estimate the underwater sensor nodes’final ***,we also analyze the proposed scheme by deriving the hybrid Cramer-Rao lower bound(H-CRLB).Simulation results provide a complete comparative analysis of the proposed method with the literature.

关键词： Bayesian multidimensional scaling(BMDS) hybrid Cramer-Rao lower bound(H-CRLB) internet of underwater things(IoUT) signals of opportunity(SOA)approach