检索结果-南通市图书馆

BHGSO:Binary Hunger Games Search Optimization Algorithm for Feature Selection Problem

Computers, Materials & Continua 2022年第1期70卷 557-579页

作者： r.manjula devi M.Premkumar Pradeep Jangir B.Santhosh Kumar Dalal Alrowaili Kottakkaran Sooppy Nisar Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Electrical and Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia rajasthan rajya Vidyut Prasaran Nigam Sikar332025RajasthanIndia Department of Computer Science and Engineering Guru Nanak Institute of TechnologyHyderabad501506TelanganaIndia Mathematics Department College of ScienceJouf UniversitySakakaP.O.Box:2014Saudi Arabia Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

In machine learning and data mining,feature selection(FS)is a traditional and complicated optimization *** the run time increases exponentially,FS is treated as an NP-hard *** researcher’s effort to build a new FS solution was inspired by the ongoing need for an efficient FS framework and the success rates of swarming outcomes in different optimization *** paper presents two binary variants of a Hunger Games Search Optimization(HGSO)algorithm based on V-and S-shaped transfer functions within a wrapper FS model for choosing the best features from a large *** proposed technique transforms the continuous HGSO into a binary variant using V-and S-shaped transfer functions(BHGSO-V and BHGSO-S).To validate the accuracy,16 famous UCI datasets are considered and compared with different state-of-the-art metaheuristic binary *** findings demonstrate that BHGSO-V achieves better performance in terms of the selected number of features,classification accuracy,run time,and fitness values than other state-of-the-art *** results demonstrate that the BHGSO-V algorithm can reduce dimensionality and choose the most helpful features for classification *** proposed BHGSO-V achieves 95%average classification accuracy for most of the datasets,and run time is less than 5 *** low and medium dimensional datasets and less than 10 sec for high dimensional datasets.

关键词： Binary optimization feature selection machine learning hunger games search optimization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IrKO:An Improved runge-Kutta Optimization Algorithm for Global Optimization Problems

引用

Computers, Materials & Continua 2022年第3期70卷 4803-4827页

作者： r.manjula devi M.Premkumar Pradeep Jangir Mohamed Abdelghany Elkotb rajvikram Madurai Elavarasan Kottakkaran Sooppy Nisar Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Electrical&Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia rajasthan rajya Vidyut Prasaran Nigam Sikar332025RajasthanIndia Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Mechanical Engineering Department Faculty of EngineeringKafrelsheikh UniversityEgypt Clean and resilient Energy Systems(CArES)Laboratory Texas A&MUniversityGalveston77553TXUSA College of Arts and Sciences Prince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

Optimization is a key technique for maximizing or minimizing functions and achieving optimal cost,gains,energy,mass,and so *** order to solve optimization problems,metaheuristic algorithms are *** of these techniques are influenced by collective knowledge and natural *** is no such thing as the best or worst algorithm;instead,there are more effective algorithms for certain ***,in this paper,a new improved variant of a recently proposed metaphorless runge-Kutta Optimization(rKO)algorithm,called Improved runge-Kutta Optimization(IrKO)algorithm,is suggested for solving optimization *** IrKO is formulated using the basic rKO and local escaping operator to enhance the diversification and intensification capability of the basic rKO *** performance of the proposed IrKO algorithm is validated on 23 standard benchmark functions and three engineering constrained optimization *** outcomes of IrKO are compared with seven state-of-the-art algorithms,including the basic rKO *** to other algorithms,the recommended IrKO algorithm is superior in discovering the optimal results for all selected optimization *** runtime of IrKO is less than 0.5 s for most of the 23 benchmark problems and stands first for most of the selected problems,including real-world optimization problems.

关键词： Engineering design global optimization local escaping operator metaheuristics runge-Kutta optimization algorithm

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Direct injection HILIC-MS/MS analysis of darunavir in rat plasma applying supported liquid extraction

引用

Journal of Pharmaceutical Analysis 2015年第1期5卷 43-50页

作者： Bokka ramesh Nemali manjula Sistla ramakrishna Potturi Sita devi Natural Products Chemistry Division Indian Institute of Chemical TechnologyTarnakaHyderabad 500607India Medicinal Chemistry & Pharmacology Division Indian Institute of Chemical TechnologyTarnakaHyderabad 500607India

A novel bioanalytical method was developed and validated for the quantitative determination of darunavir（DrV） in rat plasma by employing hydrophilic interaction chromatography and tandem mass spectrometry（HILIC-MS/MS） with supported liquid extraction（SLE）.lrbesartan（IrB） was used as an internal standard（IS）.The analyte in rat plasma（200 μL） was isolated through SLE using ethyl acetate as the eluting *** chromatographic separation was achieved on Luna-HILIC（250 mm × 4.6 mm,5 μm）column with a mobile phase of 0.1% of formic acid in water：acetonitrile（5：95,v/v）,at a constant flow rate of 1.0mL/*** MS/MS ion transitions for DrV（548.1→392.0） and IS（429.2→207.1） were monitored on an ion trap mass spectrometer,operating in the multiple reaction monitoring（MrM） *** lower limit of quantitation（LLOQ） was 0.2 ng/mL and quantitation range was 0.2-5000 ng/*** method was validated for its selectivity,sensitivity,carryover,linearity,precision,accuracy,recovery,matrix effect and *** method was successfully applied to pharmacokinetic study in rats.

关键词： Darunavir HILIC-MS/MS rat plasma Supported liquid extraction

来源：

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

LC–HrMS determination of piperine on rat dried blood spots: A pharmacokinetic study

引用

Journal of Pharmaceutical Analysis 2016年第1期6卷 18-23页

作者： Bokka ramesh P. rajesh rao Vadaparthi Genji Sukumar Nemali manjula Katragadda Suresh Babu Potturi Sita devi Natural Products Chemistry Division Indian Institute of Chemical Technology Tarnaka Hyderabad 500607 India

A liquid chromatography-high resolution mass spectrometry （LC-HrMS） method was developed and validated for the determination of piperine （PPr） on dried blood spots （DBS）. DBS samples were prepared by spiking the whole blood with analyte to produce 30 μL of blood spots on specimen collection cards. Chromatographic separation was achieved on an Atlantis dC18 column using acetonitrile and water （0.1% formic acid）（85：15, v/v） as mobile phase in an isocratic mode of elution at a flow rate of 0.75 mL/min. MS detection was carried out in electrospray positive ion mode for the target ions and monitored at m/z 286.1465 for PPr and 272.1303 for the internal standard （IS）. The developed method exhibited a linear dynamic range over 0.01-2000 ng/mL for PPr on DBS. The overall extraction recovery of PPr from DBS was 92.5%. Influence of hematocrit and spot volume on DBS was also evaluated and found to be well within the acceptable limits. The method was successfully applied to pharmacokinetic studies of PPr in rats.

关键词： Dried blood spot LC-HrMS Piperine Pharmacokinetics Trichostachine

来源：

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

An Efficient Modelling of Oversampling with Optimal Deep Learning Enabled Anomaly Detection in Streaming Data

引用

China Communications 2024年第5期21卷 249-260页

作者： r.rajakumar S.Sathiya devi Srinivasa ramanujan Centre SASTRA Deemed UniversityKumbakonamTamil Nadu 612001India University College of Engineering BIT CampusAnna UniversityTiruchirappalli 620024India

recently,anomaly detection(AD)in streaming data gained significant attention among research communities due to its applicability in finance,business,healthcare,education,*** recent developments of deep learning(DL)models find helpful in the detection and classification of *** article designs an oversampling with an optimal deep learning-based streaming data classification(OS-ODLSDC)*** aim of the OSODLSDC model is to recognize and classify the presence of anomalies in the streaming *** proposed OS-ODLSDC model initially undergoes preprocessing *** streaming data is unbalanced,support vector machine(SVM)-Synthetic Minority Over-sampling Technique(SVM-SMOTE)is applied for oversampling ***,the OS-ODLSDC model employs bidirectional long short-term memory(Bi LSTM)for AD and ***,the root means square propagation(rMSProp)optimizer is applied for optimal hyperparameter tuning of the Bi LSTM *** ensuring the promising performance of the OS-ODLSDC model,a wide-ranging experimental analysis is performed using three benchmark datasets such as CICIDS 2018,KDD-Cup 1999,and NSL-KDD datasets.

关键词： anomaly detection deep learning hyperparameter optimization oversampling SMOTE streaming data

来源：

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

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks(SMPISCS)

引用

Cybersecurity 2019年第1期2卷 76-90页

作者： Kanchana devi V Ganesan r School of Computing Science and Engineering VIT University Chennai CampusChennaiTamilNaduIndia

In Wireless Sensor Network(WSN),energy and packet forwarding tendencies of sensor nodes plays a potential role in ensuring a maximum degree of co-operation under data *** quantified level of co-operation signifies the performance of the network in terms of increased throughput,packet delivery rate and decreased delay depending on the data being aggregated and level of control *** performance of a sensor network is highly inclined by the selfish behaving nature of sensor nodes that gets revealed when the residual energy ranges below a bearable level of activeness in packet *** selfish sensor node needs to be identified in future through reliable forecasting mechanism for improving the lifetime and packet delivery *** Markov Process Inspired Selfish aware Co-operative Scheme(SMPISCS)is propounded for making an attempt to mitigate selfish nodes for prolonging the lifetime of the network and balancing energy consumptions of the *** model provides a kind of sensor node’s behavior for quantifying and future forecasting the probability with which the node could turn into *** experiments are carried out through Network Simulator 2 and the performance are analyzed based on varying the number of selfish sensor nodes,number of sensor nodes and range of detection threshold.

关键词： Information security routing overhead Selfish sensor nodes Semi Markov process Wireless sensor networks

来源：

维普期刊数据库

维普期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Comparison of conventional and supported liquid extraction methods for the determination of sitagliptin and simvastatin in rat plasma by LC-ESI-MS/MS

引用

Journal of Pharmaceutical Analysis 2015年第3期5卷 161-168页

作者： B.ramesh N.manjula S.r.Bijargi V.U.M.Sarma P.Sita devi Natural Products Chemistry Division Indian Institute of Chemical Technology Medicinal Chemistry & Pharmacology Division Indian Institute of Chemical Technology

Three extraction methods were compared for their efficiency to analyze sitagliptin and simvastatin in rat plasma by LC-MS/MS, including （1） liquid-liquid extraction （LLE）, （2） solid phase extraction （SPE） and （3） supported liquid extraction （SLE）. Comparison of recoveries of analytes with different extraction methods revealed that SLE was the best extraction method. The detection was facilitated with ion trap-mass spectrometer by multiple reactions monitoring （MrM） in a positive ion mode with ESI. The transitions monitored were m./z 441.1→325.2 for simvastatin, 408.2→235.1 for sitagliptin and 278.1→260.1 for the IS. The lower limit of quantification （LLOQ） was 0.2 ng/mL for sitagliptin and 0.1 ng/mL for simvastatin. The effective SLE offers enhanced chromatographic selectivity, thus facilitating the potential utility of the method for routine analysis of biological samples along with pharmacokinetic studies.

关键词： rat plasma Simvastatin Sita#'ptin Supported liquid extraction

来源：

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

Enhancement of IoT device security using an Improved Elliptic Curve Cryptography algorithm and malware detection utilizing deep LSTM

引用

High-Confidence Computing 2023年第2期3卷 18-31页

作者： r.Aiyshwariya devi A.r.Arunachalam Department of Computer Science and Engineering Dr.M.G.R.Educational and Research InstituteChennai 600095India

Internet of things(IoT)has become more popular due to the development and potential of smart technology *** concerns against IoT infrastructure,applications,and devices have grown along with the need for IoT *** system security protocols are difficult due to the diverse capabilities of IoT devices and the dynamic,ever-changing environment,and simply applying basic security requirements is ***,this proposed work designs a malware detection and prevention approach for secure data transmission among IoT *** malware detection approach is designed with the aid of a deep learning *** initial process is identifying attack nodes from normal nodes through a trust value using contextual *** discovering attack nodes,these are considered for predicting different kinds of attacks present in the network,while some preprocessing and feature extraction strategies are applied for effective *** Deep LSTM classifier is applied for this malware detection *** completed malware detection,prevention is performed with the help of the Improved Elliptic Curve Cryptography(IECC)algorithm.A hybrid MA-BW optimization is adopted for selecting the optimal key during *** 3.8 software is used to test the performance of the proposed approach,and several existing techniques are considered to evaluate its *** proposed approach obtained 95%of accuracy,5%of error value and 92%of *** addition,the improved ECC algorithm is also compared with some existing algorithm which takes 6.02 s of execution *** to the other methods,the proposed approach provides better security to IoT gadgets during data transmission.

关键词： Deep LSTM Improved Elliptic Curve Cryptography Malware detection Prediction of different kinds of attacks IoT gadgets

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy-Aware Scheduling for Tasks with Target-Time in Blockchain based Data Centres

引用

Computer Systems Science & Engineering 2022年第2期40卷 405-419页

作者： I.devi G.r.Karpagam Department of Computer Science and Engineering PSG College of TechnologyCoimbatore641004India

Cloud computing infrastructures have intended to provide computing services to end-users through the internet in a pay-per-use *** extensive deployment of the Cloud and continuous increment in the capacity and utilization of data centers(DC)leads to massive power *** intensifying scale of DCs has made energy consumption a critical *** paper emphasizes the task scheduling algorithm by formulating the system model to minimize the makespan and energy consumption incurred in a data ***,an energy-aware task scheduling in the Blockchain-based data center was proposed to offer an optimal solution that minimizes makespan and energy *** estab-lished model was analyzed with a target-time responsive precedence scheduling *** observations were analyzed and compared with the traditional scheduling *** outcomes exhibited that the developed solution incurs better performance with a response to resource utilization and decreasing energy *** investigation revealed that the applied strategy considerably enhanced the effectiveness of the designed schedule.

关键词： Cloud computing taskscheduling blockchain energy-aware virtual machine

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Visual Enhancement of Underwater Images Using Transmission Estimation and Multi-Scale Fusion

引用

Computer Systems Science & Engineering 2023年第3期44卷 1897-1910页

作者： r.Vijay Anandh S.rukmani devi Department of Electronics and Communication Engineering RMK College of Engineering and TechnologyTiruvallurTamilnadu601206India Department of Electronics and Communication Engineering RMD Engineering CollegeGummidipundiTamilnadu601206India

The demand for the exploration of ocean resources is increasing *** image data plays a significant role in many research *** this,the visual quality of underwater images is degraded because of two main factors namely,backscattering and ***,visual enhancement has become an essential process to recover the required data from the *** algorithms had been proposed in a decade for improving the quality of *** paper aims to propose a single image enhancement technique without the use of any external *** that,the degraded images are subjected to two main processes namely,color correction and image ***,veiling light and transmission light is estimated tofind the color required for *** light refers to unwanted light,whereas transmission light refers to the required light for color *** estimated outputs are applied in the scene recovery *** image obtained from color correction is subjected to a fusion process where the image is categorized into two versions and applied to white balance and contrast enhancement *** resultants are divided into three weight maps namely,luminance,saliency,chromaticity and fused using the Laplacian *** results obtained are graphically compared with their input data using rGB Histogram ***,image quality is measured and tabulated using underwater image quality measures.

关键词： Underwater image backscattering attenuation image fusion veiling light white balance laplacian pyramid

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：