检索结果-南通市图书馆

Automatic Rule Discovery for Data Transformation Using Fusion of Diversified Feature Formats

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 2024年第7期80卷 695-713页

作者： G.Sunil santhosh kumar M.Rudra kumar Department of CSE Jawaharlal Nehru Technological UniversityAnantapur515002India Department of CSE Marri Laxman Reddy Institute of Technology and ManagementHyderabad500043India Department of Information Technology Mahatma Gandhi Institute of TechnologyHyderabad500075India

This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost,a machine learning algorithm renowned for its efficiency and *** framework proposed herein utilizes the fusion of diversified feature formats,specifically,metadata,textual,and pattern *** goal is to enhance the system’s ability to discern and generalize transformation rules fromsource to destination formats in varied ***,the article delves into the methodology for extracting these distinct features from raw data and the pre-processing steps undertaken to prepare the data for the *** sections expound on the mechanism of feature optimization using Recursive Feature Elimination(RFE)with linear regression,aiming to retain the most contributive features and eliminate redundant or less significant *** core of the research revolves around the deployment of the XGBoostmodel for training,using the prepared and optimized feature *** article presents a detailed overview of the mathematical model and algorithmic steps behind this ***,the process of rule discovery(prediction phase)by the trained XGBoost model is explained,underscoring its role in real-time,automated data *** employingmachine learning and particularly,the XGBoost model in the context of Business Rule Engine(BRE)data transformation,the article underscores a paradigm shift towardsmore scalable,efficient,and less human-dependent data transformation *** research opens doors for further exploration into automated rule discovery systems and their applications in various sectors.

关键词： XGBoost business rule engine machine learning categorical query language humanitarian computing environment

Laparoscopic management of remnant gall bladder with stones: Lessons from a tertiary care centre's experience

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Laparoscopic, Endoscopic and Robotic Surgery 2024年第1期7卷 27-33页

作者： Gilbert Samuel Jebakumar Jeevanandham Muthiah Loganathan Jayapal R.santhosh kumar Siddhesh Tasgaonkar K.S.santhosh Anand J.K.A.Jameel Sudeepta kumar Swain K.J.Raghunath Prasanna kumar Reddy Tirupporur Govindaswamy Balachandar Department of Surgical Gastroenterology Apollo HospitalsChennai 600006India Department of General Surgery Apollo HospitalsChennai 600006India Department of Minimal Access Surgery Apollo HospitalsChennai 600006India

Objective:Laparoscopic cholecystectomy is currently the gold standard for treating symptomatic gallstone *** its success,approximately 10%of patients may experience persistent biliary symptoms,leading to the post-cholecystectomy syndrome.A remnant gallbladder with cystic duct or bile duct stones is one of the causes of this *** objective of this study was to shed light on the clinical manifestations,evaluation,therapeutic strategies,and outcomes associated with laparoscopic management of symptomatic remnant ***:This was a retrospective study,conducted over a five-year period(January 2017 to December 2022)at Apollo Hospitals in South *** patients who underwent laparoscopic completion cholecystectomy for a remnant gall bladder were *** following data were collected:patient demographics,symptoms,preoperative investigations,intraoperative details and post operative ***:In total,36 patients were included and *** majority of patients were male(25,69.4%),with a mean age of 50.7±12.1 *** most common presentation was pain in the upper abdomen or right upper quadrant region(24,66.7%).The laparoscopic approach was attempted in all patients,with a success rate of 94.4%.Two patients required conversion to open *** fistula to the colon was observed in one *** was observed in 7 patients(19.4%),and stone clearance was successfully achieved using endoscopic retrograde cholangiopancreatography in all patients ***:Incomplete gall bladder removal either intentionally or unintentionally leaves a remnant gall bladder that is at risk for stone formation and *** who have this clinical entity with symptoms require a redo or complete cholecystectomy,a complex procedure associated with certain *** study highlights the feasibility and safety of laparoscopic completion cholecystectomy for the management of remnant gallbladder

关键词： Remnant gall bladder Stump cholecystitis Subtotal cholecystectomy Laparoscopic completion cholecystectomy

Tasks Scheduling in Cloud Environment Using PSO-BATS with MLRHE

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 2023年第3期35卷 2963-2978页

作者： Anwar R Shaheen Sundar santhosh kumar Department of Computer Science Alagappa UniversityKaraikudiIndia

Cloud computing plays a signiﬁcant role in Information Technology(IT)industry to deliver scalable resources as a *** of the most important factor to increase the performance of the cloud server is maximizing the resource utilization in task *** main advantage of this scheduling is to max-imize the performance and minimize the time *** researchers examined numerous scheduling methods to achieve Quality of Service(QoS)and to reduce execution ***,it had disadvantages in terms of low throughput and high response ***,this study aimed to schedule the task efﬁciently and to eliminate the faults in scheduling the tasks to the Virtual Machines(VMs).For this purpose,the research proposed novel Particle Swarm Optimization-Bandwidth Aware divisible Task(PSO-BATS)scheduling with Multi-Layered Regression Host Employment(MLRHE)to sort out the issues of task scheduling and ease the scheduling operation by load *** proposed efﬁcient sche-duling provides beneﬁts to both cloud users and *** performance evalua-tion is undertaken with respect to cost,Performance Improvement Rate(PIR)and makespan which revealed the efﬁciency of the proposed ***,comparative analysis is undertaken which conﬁrmed the performance of the intro-duced system than conventional system for scheduling tasks with highﬂexibility.

关键词： Task scheduling virtual machines(VM) particle swarm optimization(PSO) bandwidth aware divisible task scheduling(BATS) multi-layered regression

Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier 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

Intelligent Automation & Soft Computing 2023年第3期35卷 2893-2907页

作者： C.santhosh kumar K.Vishnu kumar Department of Computer Science and Engineering Priyadarshini Engineering College635751TamilnaduIndia Department of Computer Science and Engineering KPR Institute of Engineering&TechnologyCoimbatore641407India

Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare *** patient data pro-cessing from remote places may lead to severe privacy ***,the existing cloud-based healthcare system takes more latency and energy consumption during diagnosis due to ofﬂoading of live patient data to remote cloud *** the privacy *** proposed research introduces the edge-cloud enabled privacy-preserving healthcare system by exploiting additive homomorphic encryption *** can help maintain the privacy preservation and conﬁdentiality of patients’medical data during diagnosis of Parkinson’s *** addition,the energy and delay aware computational ofﬂoading scheme is proposed to minimize the uncertainty and energy consumption of end-user *** proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing health-care systems.

关键词： Peer-to-peer computing energy and delay aware ofﬂoading edge-cloud enabled healthcare system parkinson’s disease prediction

New Preamble Sequence for WiMAX System with Improved Synchronization Accuracy

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 2023年第3期35卷 3187-3197页

作者： Suma Sekhar Sakuntala S.Pillai S.santhosh kumar Department of Electronics and Communication Engineering LBS Institute of Technology for WomenThiruvananthapuramKeralaIndia Mar Baselios College of Engineering and Technology ThiruvananthapuramKeralaIndia Department of Electronics and Communication Govt.Engineering CollegeIdukkiKeralaIndia

Worldwide Interoperability for Microwave Access(WiMAX)trusts Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing(MIMO-OFDM)combination for the deployment of physical layer functions and for connecting the medium access control to the wireless *** though Orthogonal Frequency Division Multiplexing(OFDM)facilitates reliable digital broadband transmission in the fading wireless channels,the presence of synchro-nization errors in the form of Carrier Frequency Offset(CFO)and Time Offset(TO)adversely affect the performance of OFDM based physical *** objective of this work is to improve the accuracy of the frequency and the time offset estimation in the WiMAX physical layer.A method to enhance the synchro-nization accuracy byﬁne-tuning the merit factor of the preamble sequence is sug-gested in this ***,a new preamble with improved synchronization accuracy is proposed for the WiMAX *** performance of the proposed preamble is evaluated in a Rayleigh fading channel and the results of simulations show that the Mean Square Error(MSE)in offset estimation is signiﬁcantly reduced and it outperforms the standard WiMAX preamble.

关键词： WiMAX MIMO OFDM time offset carrier frequency offset preamble sequence integrated sidelobe level merit factor

Cloud-based data security transactions employing blowfish and spotted hyena optimisation algorithm

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Control and Decision 2023年第4期10卷 494-503页

作者： Ch.Chakradhara Rao Tryambak Hiwarkar B.santhosh kumar CSE Department Sri Satya Sai University of Technology and Medical SciencesSehoreIndia CSE Department Guru Nanak Institute of TechnologyTelanganaIndia

Because of its on-demand servicing and scalability features in cloud computing,security and confidentiality have converted to key *** transaction information on thirdparty servers carries significant dangers so that malicious individuals trying for illegal access to information data security *** research proposes a security-aware information transfer in the cloud-based on the blowfish algorithm(BFA)to address the *** user is verified initially with the identification and separate the imported data using pattern matching ***,BFA is utilised to encrypt and save the data in *** can safeguard the data and streamline the proof so that client cannot retrieve the information without identification which makes the environment *** suggested approach’s performance is evaluated using several metrics,including encryption time,decryption time,memory utilisation,and *** to the existing methodology,the investigational findings clearly show that the method takes the least time to data encryption.

关键词： Blowfish algorithm cloud environment data encryption spotted hyena optimisation algorithm user authentication

Multi-Objective Grey Wolf Optimization Algorithm for Solving Real-World BLDC Motor Design Problem

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 2022年第2期70卷 2435-2452页

作者： M.Premkumar Pradeep Jangir B.santhosh kumar Mohammad A.Alqudah Kottakkaran Sooppy Nisar Department of Electrical and Electronics Engineering GMR Institute of TechnologyRajam532127Andhra PradeshIndia Rajasthan Rajya Vidyut Prasaran Nigam Sikar332025RajasthanIndia Department of Computer Science and Engineering GMR Institute of TechnologyRajam532127Andhra PradeshIndia German Jordanian University Amman11180Jordan Department of Mathematics College of Arts and SciencesPrince Sattam Bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

The first step in the design phase of the Brushless Direct Current(BLDC)motor is the formulation of the mathematical framework and is often used due to its analytical ***,the BLDC motor design problem is considered to be an optimization *** this paper,the analytical model of the BLDC motor is presented,and it is considered to be a basis for emphasizing the optimization *** analytical model used for the experimentation has 78 non-linear equations,two objective functions,five design variables,and six non-linear constraints,so the BLDC motor design problem is considered as highly non-linear in electromagnetic ***-objective optimization becomes the forefront of the current research to obtain the global best solution using metaheuristic *** bio-inspired multi-objective grey wolf optimizer(MOGWO)is presented in this paper,and it is formulated based on Pareto optimality,dominance,and archiving *** performance of theMOGWO is verified on standard multi-objective unconstraint benchmark functions and applied to the BLDC motor design *** results proved that the proposedMOGWO algorithm could handle nonlinear constraints in electromagnetic optimization *** performance comparison in terms of Generational Distance,inversion GD,Hypervolume-matrix,scattered-matrix,and coverage metrics proves that the MOGWO algorithm can provide the best solution compared to other selected *** source code of this paper is backed up with extra online support at https://***/mysite and https://***/matlabcentral/fileexchange/75259-multiobjective-non-sorted-grey-wolf-mogwo-nsgwo.

关键词： BLDC motor electromagnetics metaheuristic multi-objective grey wolf optimizer

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

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 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

Investigation of FOXP3 (rs3761548) polymorphism with the risk of preeclampsia and recurrent spontaneous abortion: A systemic review and meta-analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian pacific Journal of Reproduction 2022年第3期11卷 117-124页

作者： Govinda Sri Varshini Sivakumar Harshini Muhammed Ali Siham Govindaraj Krishnamurthy Tejaswini Yasam santhosh kumar Langeswaran Kulanthaivel Gowtham kumar Subbaraj Faculty of Allied Health Sciences Chettinad Hospital and Research InstituteChettinad Academy of Research and Education(Deemed to be University)KelambakkamTamil Nadu 603103India Department of Bioinformatics Alagappa UniversityKaraikudi-630003Tamil NaduIndia

Objective:To investigate the association between forkhead box P3(FOXP3)(rs3761548)polymorphism and the risk of preeclampsia and recurrent spontaneous ***:Literature on the association of FOXP3 gene polymorphisms and susceptibility to preeclampsia and unexplained recurrent spontaneous abortion was retrieved by searching databases such as PubMed,Science Direct,Google Scholar and Embase from 2000 to *** association measure was analyzed using an odds ratio(OR)and 95%confidence interval(CI).All the statistical analyses were executed using RevMan 5.4 ***:In the present meta-analysis,11 articles were *** pooled results showed no association between FOXP3 gene polymorphism(rs3761548)and preeclampsia risk in allelic,recessive,dominant and over dominant contrast ***3 gene polymorphism(rs3761548)showed an association with recurrent abortion in allelic,recessive and dominant models(OR 1.85,CI 1.59-2.14;OR 2.02,95%CI 1.56-2.62;OR 2.69,95%CI 1.50-4.83,respectively),while no association in the over dominant contrast model(OR 1.35,CI 0.87-2.10).Conclusions:In the present study,FOXP3 gene(rs3761548)polymorphism is associated with risk of recurrent spontaneous abortion but not ***,larger sample size and multiracial studies are needed in the future to confirm the findings.

关键词： Preeclampsia FOXP3 gene Single nucleotide polymorphism rs3761548 Unexplained recurrent spontaneous abortion