检索结果-南通市图书馆

Systematic Review:Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2024年第3期39卷 437-476页

作者： Darakhshan Syed Ghulam Muhammad safdar rizvi Department of Computer Science Bahria UniversityKarachi CampusKarachiPakistan

Cloud Computing has the ability to provide on-demand access to a shared resource *** has completely changed the way businesses are managed,implement applications,and provide *** rise in popularity has led to a significant increase in the user demand for ***,in cloud environments efficient load balancing is essential to ensure optimal performance and resource *** systematic review targets a detailed description of load balancing techniques including static and dynamic load balancing ***,metaheuristic-based dynamic load balancing algorithms are identified as the optimal solution in case of increased *** a cloud-based context,this paper describes load balancing measurements,including the benefits and drawbacks associated with the selected load balancing *** also summarizes the algorithms based on implementation,time complexity,adaptability,associated issue(s),and targeted QoS ***,the analysis evaluates the tools and instruments utilized in each investigated ***,comparative analysis among static,traditional dynamic and metaheuristic algorithms based on response time by using the CloudSim simulation tool is also ***,the key open problems and potential directions for the state-of-the-art metaheuristic-based approaches are also addressed.

关键词： Cloud computing load balancing metaheuristic algorithm dynamic algorithm load balancer QoS

Developing a Breast Cancer Resistance Protein Substrate Prediction System Using Deep Features and LDA

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第8期76卷 1643-1663页

作者： Mehdi Hassan safdar Ali Jin Young Kim Muhammad Sanaullah Hani Alquhayz Khushbakht safdar Department of Computer Science Air UniversitySector E-9PAF ComplexIslamabad44000Pakistan Department of ICT Convergence System Engineering Chonnam National UniversityGwangjuKorea Directorate of National Repository IslamabadPakistan Department of Computer Science Bahauddin Zakariya UniversityMultan60000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Pakistan Atomic Energy Commission General HospitalIslamabadPakistan

Breast cancer resistance protein(BCRP)is an important resistance protein that significantly impacts anticancer drug discovery,treatment,and *** identification of BCRP substrates is quite a challenging *** study aims to predict early substrate structure,which can help to optimize anticancer drug development and clinical *** this study,a novel intelligent approach-based methodology is developed by modifying the ResNet101 model using transfer learning(TL)for automatic deep feature(DF)extraction followed by classification with linear discriminant analysis algorithm(TLRNDF-LDA).This study utilized structural fingerprints,which are exploited by DF contrary to conventional molecular *** proposed in silico model achieved an outstanding accuracy performance of 98.56%on test data compared to other state-of-the-art approaches using standard quality ***,the model’s efficacy is validated via a statistical *** is demonstrated that the developedmodel can be used effectively for early prediction of the substrate *** pipeline of this study is flexible and can be extended for in vitro assessment efficacy of anticancer drug response,identification of BCRP functions in transport experiments,and prediction of prostate or lung cancer cell lines.

关键词： BCRP drug response deep learning transfer learning LDA In silico

Adipose-brain crosstalk: do adipokines have a role in neuroprotection?

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2015年第9期10卷 1381-1382页

作者： Jonathan P.Little Adeel safdar School of Health and Exercise Sciences University of British Columbia Okanagan Departments of Pediatrics and Medicine Mc Master University

Accumulating evidence from epidemiological and experi- mental studies indicate that obesity, and its related metabolic consequences of insulin resistance and type 2 diabetes, are associated with accelerated cognitive decline （Yates et al., 2012）. The etiology of neurodegeneration in obesity is undoubtedly complex, with vascular, metabolic, inflammatory, and structural changes all likely to play a role （Yates et al., 2012）. The discovery of leptin in 1994 and the subsequent advancement in our understanding that adipose tissue is an endocrine organ that can communicate with the brain to regulate appetite （Zhang et al., 1994） brings about the in- triguing possibility that adipose-brain crosstalk can regulate aspects of neuronal physiology and pathology （Aguilar-Valles et al., 2015）. Indeed neurons have been shown to express receptors for various adipokines, indicating that factors released from adipose tissue have the potential to communi- cate directly with the brain. Research in this area is relatively new, and while epidemiological data points towards the negative consequences of adipose-brain crosstalk （Whitmer et al., 2005）, some intriguing new studies highlight that the secretory profile of adipose tissue might be involved in reduction in neurodegeneration via maintenance of neuronal viability （Tezapsidis et al., 2009; Wan et al., 2015）.

关键词： cell Adipose-brain crosstalk

Analysis of socio-environmental impacts of the loss of urban trees and vegetation in Lahore,Pakistan:a review of public perception

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Ecological Processes 2016年第1期5卷 48-59页

作者： safdar Ali Shirazi Jamil H.Kazmi Department of Geography University of the PunjabQuaid-i-Azam CampusLahorePakistan Department of Geography University of KarachiKarachiPakistan

Introduction:This paper focused on the process of urbanization in Lahore and its correlation with the loss of urban vegetation and perceived environmental impacts based on local population’s perception through administration of a questionnaire *** is known as a city of gardens and green spaces in Pakistan and always possessed rich green character in its long *** the past few decades due to rapid urbanization,the city has lost its aesthetically important urban vegetation,tress,and *** field studies and remote sensing data revealed that the loss of vegetation has been experienced at an astonishing rate in many union councils of the ***:This study was conceived to probe importance and value of the urban tress and vegetation of Lahore in an environmental context and its general importance for the residents of the *** objectives were to analyze the role of vegetation in the life of citizens;the specific objective was to reveal the attitudes and responses of city dwellers about loss of urban trees/vegetation and its role in the overall environment,process of urbanization,and maintenance *** the present paper,perception of local people(n=2080)regarding the socio-environmental impacts due to the ongoing process of urbanization and detriments of vegetation loss has been probed through administration of a household *** collected data has been tested with respondent’s age,gender,marital status,education,monthly income,and ***:This study was an attempt to document and explore the change in historical transformation in vegetation and perception of the sample population of *** perception survey has revealed that urbanization is the major cause of loss of vegetation and has caused a number of perceived environmental problems in the ***:The study underlined an analysis of people’s perceptions regarding the loss of trees and *** perceived socio-environmental findings revea

关键词： Anthropogenic Union council Socio-environmental Perception Vegetation Urban trees

Cyber Secure Framework for Smart Containers Based on Novel Hybrid DTLS Protocol

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第12期43卷 1297-1313页

作者： Waseem Ullah Khan safdar Nawaz Khan Marwat Salman Ahmed Department of Computer Systems Engineering University of Engineering and Technology PeshawarPeshawar25120Pakistan

The Internet of Things (IoTs) is apace growing, billions of IoT devicesare connected to the Internet which communicate and exchange data among eachother. Applications of IoT can be found in many fields of engineering and sciencessuch as healthcare, traffic, agriculture, oil and gas industries, and logistics. Inlogistics, the products which are to be transported may be sensitive and perishable, and require controlled environment. Most of the commercially availablelogistic containers are not integrated with IoT devices to provide controlled environment parameters inside the container and to transmit data to a remote *** necessitates the need for designing and fabricating IoT based smart containers. Due to constrained nature of IoT devices, these are prone to different cybersecurity attacks such as Denial of Service (DoS), Man in Middle (MITM) andReplay. Therefore, designing efficient cyber security framework are required forsmart container. The Datagram Transport Layer Security (DTLS) Protocol hasemerged as the de facto standard for securing communication in IoT ***, it is unable to minimize cyber security attacks such as Denial of Serviceand Distributed Denial of Service (DDoS) during the handshake process. Themain contribution of this paper is to design a cyber secure framework by implementing novel hybrid DTLS protocol in smart container which can efficientlyminimize the effects of cyber attacks during handshake process. The performanceof our proposed framework is evaluated in terms of energy efficiency, handshaketime, throughput and packet delivery ratio. Moreover, the proposed framework istested in IoT based smart containers. The proposed framework decreases handshake time more than 9% and saves 11% of energy efficiency for transmissionin compare of the standard DTLS, while increases packet delivery ratio andthroughput by 83% and 87% respectively.

关键词： Logistic container logistics security cyber security perishable products monitoring

End-to-End 2D Convolutional Neural Network Architecture for Lung Nodule Identification and Abnormal Detection in Cloud

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第4期75卷 461-475页

作者： safdar Ali Saad Asad Zeeshan Asghar Atif Ali Dohyeun Kim Department of Software Engineering the University of LahoreDefence Road CampusLahore55150Pakistan Department of Computer Engineering Jeju National UniversityAra CampusJeju City63243Korea

The extent of the peril associated with cancer can be perceivedfrom the lack of treatment, ineffective early diagnosis techniques, and mostimportantly its fatality rate. Globally, cancer is the second leading cause ofdeath and among over a hundred types of cancer;lung cancer is the secondmost common type of cancer as well as the leading cause of cancer-relateddeaths. Anyhow, an accurate lung cancer diagnosis in a timely manner canelevate the likelihood of survival by a noticeable margin and medical imagingis a prevalent manner of cancer diagnosis since it is easily accessible to peoplearound the globe. Nonetheless, this is not eminently efficacious consideringhuman inspection of medical images can yield a high false positive rate. Ineffectiveand inefficient diagnosis is a crucial reason for such a high mortalityrate for this malady. However, the conspicuous advancements in deep learningand artificial intelligence have stimulated the development of exceedinglyprecise diagnosis systems. The development and performance of these systemsrely prominently on the data that is used to train these systems. A standardproblem witnessed in publicly available medical image datasets is the severeimbalance of data between different classes. This grave imbalance of data canmake a deep learning model biased towards the dominant class and unableto generalize. This study aims to present an end-to-end convolutional neuralnetwork that can accurately differentiate lung nodules from non-nodules andreduce the false positive rate to a bare minimum. To tackle the problem ofdata imbalance, we oversampled the data by transforming available images inthe minority class. The average false positive rate in the proposed method isa mere 1.5 percent. However, the average false negative rate is 31.76 *** proposed neural network has 68.66 percent sensitivity and 98.42 percentspecificity.

关键词： Convolutional neural networks medical image processing lung nodule identification data imbalance deep learning

Modelling medium-and long-term purchasing plans for environment-orientated container trucks:a case study of Yangtze River port

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Transportation Safety and Environment 2023年第1期5卷 66-75页

作者： Shuai Li Weijia Wu Xiaofeng Ma Ming Zhong Muhammad safdar Intelligent Transportation Systems Center Wuhan University of TechnologyWuhan 430063HubeiChina National Engineering Research Center for Water Transport Safety Wuhan 430063HubeiChina.

The transportation sector is the most significant contributor to anthropogenic greenhouse gas(GHG)***,maritime transportation,which is predominantly powered by fossil-fuel engines,accounts for more than 90%of world freight movement and emits 3%of global carbon dioxide(CO_(2))*** is the world’s largest emitter of CO_(2 )and plays a key role in mitigating global climate *** order to tackle this pressing concern,this study analyses the port’s throughput,the current number of trucks and their emissions during the container truck purchasing *** studies about container truck purchasing plans mostly focused on the trucks’price and port *** objective of this study is to minimize the total cost of a port’s inland transportation using optimization technique such as the interval uncertainty planning model to convert container truck emissions into social *** study considers the port of Yangtze as a case *** study has designed two scenarios.(i)The base scenario(business-asusual,BAU)is used to quantify the relationship between pollutant emissions and system *** the base scenario,no environmental control facilities are used during the planning period,and there is no need to purchase new energy container trucks.(ii)The expected scenario(Scenario A)is for three planning *** Scenario A,the emissions levels are required to remain at the same level as the first planning period during the whole planning *** solving the above model,the number of all truck types,system cost,container throughput and truck emissions in the port area were *** results showed that if no emission reduction control measures are implemented in the next 9 years,the growth rate of pollutants in the port area could reach 20%.In addition,the findings showed clearly that truck emissions are reduced by purchasing new energy trucks and restricting the number of fossil-fuel(diesel)*** study could also help to minimize sy

关键词： container truck truck emissions optimization model interval uncertainty planning model Yangtze River port

Dynamics of a two-group model for assessing the impacts of pre-exposure prophylaxis,testing and risk behaviour change on the spread and control of HIV/AIDS in an MSM population

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Infectious Disease Modelling 2024年第1期9卷 103-127页

作者： Queen Tollett Salman safdar Abba B.Gumel School of Mathematical and Statistical Sciences Arizona State UniversityTempeAZ85287USA Department of Mathematics University of KarachiUniversity Road75270Pakistan Department of Mathematics University of MarylandCollege ParkMD20742USA Department of Mathematics and Applied Mathematics University of PretoriaPretoria0002South Africa

Although much progress has been made in reducing the public health burden of the human immunodeficiency virus(HIV),which causes acquired immunodeficiency syndrome(AIDS),since its emergence in the 1980s(largely due to the large-scale use and availability of potent antiviral therapy,improved diagnostic and intervention and mitigation measures),HIV remains an important public health challenge globally,including in the United *** study is based on the use of mathematical modeling approaches to assess the population-level impact of pre-exposure prophylaxis(PrEP),voluntary testing(to detect undetected HIV-infected individuals),and changes in human behavior(with respect to risk structure),on the spread and control of HIV/AIDS in an MSM(men-who-have sex-with-men)***,a novel two-group mathematical model,which stratifies the total MSM population based on risk(low or high)of acquisition of HIV infection,is *** model undergoes a PrEP-induced backward bifurcation when the control reproduction number of the model is less than one if the efficacy of PrEP to prevent a high-risk susceptible MSM individual from acquiring HIV infection is not perfect(the consequence of which is that,while necessary,having the reproduction number of the model less than one is no longer sufficient for the elimination of the disease in the MSM population).For the case where the efficacy of PrEP is perfect,this study shows that the disease-free equilibrium of the two-group model is globally-asymptotically stable when the associated control reproduction number of the model is less than *** sensitivity analysis was carried out to identify the main parameters of the model that have the highest influence on the value of the control reproduction number of the model(thereby,having the highest influence on the disease burden in the MSM population).Numerical simulations of the model,using a plausible range of parameter values,show that if half of the MSM population co

关键词： HIV/AIDS MS MHigh(low)-risk groups PrEP Behavior change Antiviral treatment Control reproduction number

Status and Social Capital:A Cross-Sectional Quantitative Investigation of Flood Survivors in South Punjab,Pakistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Disaster Risk Science 2022年第4期13卷 549-560页

作者： Muhammad Siddique Akbar Muhammad Rizwan safdar Farhan Navid Yousaf Daniel P.Aldrich Institute of Social and Cultural Studies University of the PunjabLahore 054590Pakistan Security and Resilience Studies Program Department of Political ScienceNortheastern UniversityBostonMA 02115USA

A growing body of evidence underscores that social capital mitigates the impact of natural hazards such as *** we know less about the distribution of social ties in developing countries regularly hit by *** study examined the differences between demographic groups in South Punjab,Pakistan affected by the 2010 floods,comparing respondents'levels of social capital measured through proxies such as received social support,perceived community cohesion,accessibility to leadership,and general level of *** carried out univariate and multivariate analyses of factors including gender,education,occupation,landholding,family size,annual income,number of livestock,and home *** data collected in face-to-face interviews with 450 flood survivors,our analysis showed no statistically significant difference in the flood victims'scores on all four scales based on gender and family ***,education,occupation,landholding,annual income,and home stability statistically correlated with levels of social *** with high levels of education,high levels of land,higher home stability,and a government job typically had higher scores in all four measurements of social *** results show strong inequality in the distribution of social capital,with better connections and assistance coming to those who already have better socioeconomic positions in society.

关键词： Flood survivors Pakistan Social capital South Punjab