检索结果-南通市图书馆

Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life

Computers, Materials & Continua 2024年第1期78卷 781-794页

作者： S.Sofana Reka Ankita Bagelikar Prakash venugopal V.Ravi Harimurugan Devarajan Centre for Smart Grid Technologies School of Electronics EngineeringVellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India Department of Electrical Engineering Dr.B R Ambedkar National Institute of TechnologyJalandharPunjab144008India

The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional value.The primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to consumers.The impact of rotten fruits can foster harmful bacteria,molds and other microorganisms that can cause food poisoning and other illnesses to the consumers.The overall purpose of the study is to classify rotten fruits,which can affect the taste,texture,and appearance of other fresh fruits,thereby reducing their shelf life.The agriculture and food industries are increasingly adopting computer vision technology to detect rotten fruits and forecast their shelf life.Hence,this research work mainly focuses on the Convolutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten fruits.The proposed methodology involves real-time analysis of a dataset of various types of fruits,including apples,bananas,oranges,papayas and guavas.Similarly,machine learningmodels such as GaussianNaïve Bayes(GNB)and random forest are used to predict the fruit’s shelf life.The results obtained from the various pre-trained models for rotten fruit detection are analysed based on an accuracy score to determine the best model.In comparison to other pre-trained models,the visual geometry group16(VGG16)obtained a higher accuracy score of 95%.Likewise,the random forest model delivers a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf life.By developing an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated produce.Thereby,the proposed approach will have a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits.

关键词： Rotten fruit detection shelf life deep learning convolutional neural network machine learning gaussian naïve bayes random forest visual geometry group16

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

Solvent-free aerobic oxidation of ethylbenzene over supported Ni catalysts using molecular oxygen at atmospheric pressure

引用

Journal of Natural Gas Chemistry 2008年第3期17卷 293-297页

作者： G.Raju P.Shiva Reddy J.Ashok B.Mahipal Reddy a.venugopal Catalysis & Physical Chemistry Division Indian Institute of Chemical Technology

We investigated the aerobic oxidation of ethylbenzene in the absence of solvent or any additive carried out over Ni on different types of supports namely SiO2, hydroxyapatite, SBA-15, and USY Zeolites. The oxidation of ethylbenzene activities was measured in a round bottom flask immersed in oil bath at known reaction temperature. The physicochemical characteristics of the catalysts were examined by BET surface area, XRD, FT-IR and the oxidation activities were correlated with the acidities of the catalysts obtained by TPD of NH3. It was observed that both hydroxyapatite and USY （13% Na2O） supported Ni catalysts displayed higher ethylbenzene conversion and 80% selectivity towards acetophenone.

关键词： nickel SBA-15 zeolites hydroxyapatite ethylbenzene oxidation TPD of NH3

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

Reversed-Phase-HPLC Assay Method for Simultaneous Estimation of Sorbitol, Sodium Lactate, and Sodium Chlorides in Pharmaceutical Formulations and Drug Solution for Infusion

引用

American Journal of Analytical Chemistry 2024年第2期15卷 57-71页

作者： Sreenivas Pippalla.venugopal Komreddy Srinivasulu Kasa Vaishnavi Chintala Poluri Venkata Reddy Department of Chemistry Sikkim Professional University Gangtok India Analytical Research & Development Hikma Pharmaceuticals USA Inc. Bedford USA Department of Chemistry Osmania University Hyderabad India Analytical Research & Development Cambrex High Point High Point USA Department of Analytical Chemistry Annamalai University Annamalai Nagar India

A rapid, straightforward, sensitive, efficient, and cost-effective reverse-phase high-performance liquid chromatographic method was employed for the simultaneous determination of Sorbitol, Sodium Lactate, and Chlorides in a drug solution for infusion. Sorbitol, Sodium lactate, and Chloride are all officially recognized in the USP monograph. Assay methods are provided through various techniques, with titrations being ineffective for trace-level quantification. Alternatively, IC, AAS, and ICP-MS, though highly accurate, are costly and often unavailable to most testing facilities. When considering methods, it’s important to prioritize both quality control requirements and user-friendly techniques. A simple HPLC simultaneous method was developed for the quantification of Chlorides, Sorbitol, and Sodium Lactate with a shorter run time. The separation utilized a Shimpack SCR-102(H) ion exclusion analytical column (7.9 mm × 300 mm, 7 μm), with a flow rate of 0.6 mL per min. The column compartment temperature was maintained at 40°C, and the injection volume was set at 10 μL, with detection at 200 nm. All measurements were conducted in a 0.1% solution of phosphoric acid. The analytical curves demonstrated linearity (r > 0.9999) in the concentration range of 0.79 to 3.8 mg per mL for Sodium Lactate (SL), 0.16 to 0.79 mg per mL for Sodium Chloride (SC), and 1.5 to 7.2 mg per mL for Sorbitol. Validation of the developed method followed the guidelines of the International Conference on Harmonization (ICH Q2B) and USP. The method exhibited precision, robustness, accuracy, and selectivity. In accelerated stability testing over 6 months, no significant variations were observed in organoleptic analysis and pH. Consequently, the developed method is deemed suitable for routine quality control analyses, enabling the simultaneous determination of Sodium Lactate, Sodium Chloride, and Sorbitol in pharmaceutical formulations and infusions.

关键词： Sorbitol Sodium Lactate and Chloride Assay Analytical Validation HPLC

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

微弧氧化处理对AA7075铝合金在3.5%NaCl溶液中局部腐蚀行为的影响(英文)

引用

Transactions of Nonferrous Metals Society of China 2012年第3期22卷 700-710页

作者： a.venugopal Rajiv PANDA Sushant MANWATKAR K.SREEKUMAR L.RAMA KRISHNA G.SUNDARARAJAN Material Characterization Division Materials and Metallurgy GroupVikram Sarabhai Space CentreThiruvananthapuram-695022India International Advanced Research Centre for Powder Metallurgy and New Materials Hyderabad-500005India

采用微弧氧化法在AA7075铝合金上生成氧化铝膜层,并对氧化铝膜层在3.5%NaCl溶液中的腐蚀和应力腐蚀开裂行为进行测试。采用电化学阻抗谱来研究膜层随浸泡时间的变化,构建合适的等效电路图。对常载荷应力腐蚀开裂测试后的试样进行金相观... 详细信息

采用微弧氧化法在AA7075铝合金上生成氧化铝膜层,并对氧化铝膜层在3.5%NaCl溶液中的腐蚀和应力腐蚀开裂行为进行测试。采用电化学阻抗谱来研究膜层随浸泡时间的变化,构建合适的等效电路图。对常载荷应力腐蚀开裂测试后的试样进行金相观察。结果表明,微弧氧化膜可以有效避免富Cu、Fe金属间化合物相引发的严重局部腐蚀而导致的合金过早失效。

关键词：铝合金微弧氧化阻抗谱应力腐蚀

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

Al-Cu-Li合金AA2195在低应变速率和3.5%NaCl溶液中的抗裂性能

引用

Transactions of Nonferrous Metals Society of China 2017年第2期27卷 241-249页

作者： R.GHOSH a.venugopal P.RAMESH NARAYANAN S.C.SHARMA P.V.VENKITAKRISHNAN Materials and Metallurgy Group Materials and Mechanical EntityVikram Sarabhai Space CentreThiruvananthapuram-695022KeralaIndia

研究Al-Cu-Li合金AA2195在3.5% NaCl环境中的耐蚀和抗裂性能,并将其与另一高强合金AA2219进行比较。采用浸泡腐蚀和恒电位极化实验测定合金的总耐蚀性能;采用低应变速率测试法确定合金的应力腐蚀开裂(SCC)性能。利用SEM-EDS和光学测量... 详细信息

研究Al-Cu-Li合金AA2195在3.5% NaCl环境中的耐蚀和抗裂性能,并将其与另一高强合金AA2219进行比较。采用浸泡腐蚀和恒电位极化实验测定合金的总耐蚀性能;采用低应变速率测试法确定合金的应力腐蚀开裂(SCC)性能。利用SEM-EDS和光学测量技术对合金样品进行表征以研究其腐蚀形貌、元素含量和腐蚀深度的变化。用韧性的减少量作为估算合金应力腐蚀开裂(SCC)敏感性的一个参数。结果表明,由于较低的腐蚀速率、较小的腐蚀深度和宽度,AA2195合金比AA2219合金具有更好的耐蚀性能。然而,两种合金的SCC参数(ε_(NaCl)/ε_(air))均大于0.90,说明此两种合金均具有较好的抗裂性能。断裂样品的SEM-EDS结果表明,两种合金均为典型的脆性断裂形貌。

关键词： Al-Cu-Li合金应力腐蚀开裂断口形貌动电位极化

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

BHLM:Bayesian theory-based hybrid learning model for multi-document summarization

引用

International Journal of Modeling, Simulation, and Scientific Computing 2018年第2期9卷 229-250页

作者： S.Suneetha a.venugopal Reddy Computer Science and Engineering Department Hasvita Institute of Engineering and Technology Hyderabad India Jawaharlal Nehru Technological University Hyderabad India

In order to understand and organize the document in an efficient way,the multidocument summarization becomes the prominent technique in the Internet world.As the information available is in a large amount,it is necessary to summarize the document for obtaining the condensed information.To perform the multi-document summarization,a new Bayesian theory-based Hybrid Learning Model(BHLM)is proposed in this paper.Initially,the input documents are preprocessed,where the stop words are removed from the document.Then,the feature of the sentence is extracted to determine the sentence score for summarizing the document.The extracted feature is then fed into the hybrid learning model for learning.Subsequently,learning feature,training error and correlation coefficient are integrated with the Bayesian model to develop BHLM.Also,the proposed method is used to assign the class label assisted by the mean,variance and probability measures.Finally,based on the class label,the sentences are sorted out to generate the final summary of the multi-document.The experimental results are validated in MATLAB,and the performance is analyzed using the metrics,precision,recall,F-measure and rouge-1.The proposed model attains 99.6%precision and 75%rouge-1 measure,which shows that the model can provide the final summary efficiently.

关键词： Multi-document text feature sentence score hybrid learning model Bayesian theory

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

Blockchain: Secured Solution for Signature Transfer in Distributed Intrusion Detection System

引用

Computer Systems Science & Engineering 2022年第1期40卷 37-51页

作者： Shraddha R.Khonde venugopal Ulagamuthalvi Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyChennai600119India Department of Computer Engineering M.E.S.College of EngineeringS.P.Pune UniversityPune411001India

Exchange of data in networks necessitates provision of security and confidentiality.Most networks compromised by intruders are those where the exchange of data is at high risk.The main objective of this paper is to present a solution for secure exchange of attack signatures between the nodes of a distributed network.Malicious activities are monitored and detected by the Intrusion Detection System(IDS)that operates with nodes connected to a distributed network.The IDS operates in two phases,where the first phase consists of detection of anomaly attacks using an ensemble of classifiers such as Random forest,Convolutional neural network,and XGBoost along with genetic algorithm to improve the performance of IDS.The novel attacks detected in this phase are converted into signatures and exchanged further through the network using the blockchain framework in the second phase.This phase uses the cryptosystem as part of the blockchain to store data and secure it at a higher level.The blockchain is implemented using the Hyperledger Fabric v1.0 and v2.0,to create a prototype for secure signature transfer.It exchanges signatures in a much more secured manner using the blockchain architecture when implemented with version 2.0 of Hyperl-edger Fabric.The performance of the proposed blockchain system is evaluated on UNSW NB15 dataset.Blockchain performance has been evaluated in terms of execution time,average latency,throughput and transaction processing time.Experimental evidence of the proposed IDS system demonstrates improved performance with accuracy,detection rate and false alarm rate(FAR)as key parameters used.Accuracy and detection rate increase by 2%and 3%respectively whereas FAR reduces by 1.7%.

关键词： Blockchain intrusion detection system machine learning algorithms secured communication ensemble approach

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

Critical roles of non-coding RNAs in lifecycle and biology of Marek's disease herpesvirus

引用

Science China(Life Sciences) 2023年第2期66卷 251-268页

作者： Man Teng Zhi-Jian Zhu Yongxiu Yao venugopal Nair Gai-Ping Zhang Jun Luo Key Laboratory of Animal Immunology Ministry of Agriculture and Rural Affairs of China&Henan Provincial Key Laboratory of Animal ImmunologyHenan Academy of Agricultural SciencesZhengzhou 450002China UK-China Centre of Excellence for Research on Avian Diseases Henan Academy of Agricultural SciencesZhengzhou 450002China School of Biological and Food Processing Engineering Huanghuai UniversityZhumadian 463000China The Pirbright Institute&UK-China Centre of Excellence for Research on Avian Diseases PirbrightAsh RoadGuildfordSurrey GU240NFUnited Kingdom International Joint Research Center of National Animal Immunology&College of Veterinary Medicine Henan Agricultural UniversityZhengzhou 450002China Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses Yangzhou UniversityYangzhou 225009China Key Laboratory of Animal Disease and Public Safety College of Animal Science and TechnologyHenan University of Science and TechnologyLuoyang 471003China

Over the past two decades, numerous non-coding RNAs(ncRNAs) have been identified in different biological systems including virology, especially in large DNA viruses such as herpesviruses. As a representative oncogenic alphaherpesvirus, Marek’s disease virus(MDV) causes an important immunosuppressive and rapid-onset neoplastic disease of poultry, namely Marek’s disease(MD). Vaccinations can efficiently prevent the onset of MD lymphomas and other clinical disease, often heralded as the first successful example of vaccination-based control of cancer. MDV infection is also an excellent model for research into virally-induced tumorigenesis. Recently, great progress has been made in understanding the functions of ncRNAs in MD biology.Herein, we give a review of the discovery and identification of MDV-encoded viral miRNAs, focusing on the genomics,expression profiles, and emerging critical roles of MDV-1 miRNAs as oncogenic miRNAs(oncomiRs) or tumor suppressor genes involved in the induction of MD lymphomas. We also described the involvements of host cellular miRNAs, lincRNAs, and circRNAs participating in MDV life cycle, pathogenesis, and/or tumorigenesis. The prospects, strategies, and new techniques such as the CRISPR/Cas9-based gene editing applicable for further investigation into the ncRNA-mediated regulatory mechanisms in MDV pathogenesis/oncogenesis were also discussed, together with the possibilities of future studies on antiviral therapy and the development of new efficient MD vaccines.

关键词： herpesvirus MDV miRNA lincRNA circRNA CRISPR pathogenesis oncogenesis

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

Numerical analysis of the performance of a three-bladed vertical-axis turbine with active pitch control using a coupled unsteady Reynolds-averaged Navier-Stokes and actuator line model

引用

水动力学研究与进展B辑:英文版 2023年第3期35卷 516-532页

作者： Rui-wen Zhao Angus C.W.Creech Ye Li Vengatesan venugopal Alistair G.L.Borthwick Laboratory of Multi-function Towing Tank State Key Laboratory of Ocean EngineeringSchool of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Engineering and Physical Sciences Heriot-Watt UniversityEdinburghUK School of Engineering The University of EdinburghEdinburghUK School of Engineering Computing and MathematicsUniversity of PlymouthPlymouthUK

In this paper,we present a numerical model of a vertical-axis turbine(VAT)with active-pitch torque control.The model is based upon the Wind and Tidal Turbine Embedded Simulator(WATTES)and WATTES-V turbine realisations in conjunction with the actuator line method(ALM),and uses OpenFOAM to solve the unsteady Reynolds-averaged Navier-Stokes(URANS)equations with two-equation k-εturbulence closure.Our novel pitch-controlled system is based on an even pressure drop across the entire rotor to mitigate against dynamic stall at low tip speed ratio.The numerical model is validated against experimental measurements and alternative numerical predictions of the hydrodynamic performance of a 1:6 scale UNH-RM2 hydrokinetic turbine.Simulations deploying the variable pitch mechanism exhibit improved turbine performance compared to measured data and fixed zero-pitch model predictions.Near-wake characteristics are investigated by examining the vorticity distribution near the turbine.The pitch-controlled system is demonstrated to theoretically decrease turbulence generated by turbine rotations,mitigate the intensity of vortex shedding and size of detached vortices,and significantly enhance the performance of a vertical-axis hydrokinetic turbine for rated tip-speed ratios.

关键词： Vertical-axis turbine pitch control hydrodynamic performance unsteady Reynolds-averaged Navier-Stokes(URANS) numerical simulation

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

Pattern Recognition of Modulation Signal Classification Using Deep Neural Networks

引用

Computer Systems Science & Engineering 2022年第11期43卷 545-558页

作者： D.venugopal V.Mohan S.Ramesh S.Janupriya Sangsoon Lim Seifedine Kadry Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyCoimbatore641048India Department of Electronics and Communication Engineering Saranathan College of EngineeringTrichy620012India Department of Computer Science and Engineering Krishnasamy College of Engineering&TechnologyCuddalore607109India Department of Electronics and Communication Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Engineering Sungkyul UniversityAnyangKorea Department of Applied Data Science Noroff University CollegeKristiansandNorway

In recent times,pattern recognition of communication modulation signals has gained significant attention in several application areas such as military,civilian field,etc.It becomes essential to design a safe and robust feature extraction(FE)approach to efficiently identify the various signal modulation types in a complex platform.Several works have derived new techniques to extract the feature parameters namely instant features,fractal features,and so on.In addition,machine learning(ML)and deep learning(DL)approaches can be commonly employed for modulation signal classification.In this view,this paper designs pattern recognition of communication signal modulation using fractal features with deep neural networks(CSM-FFDNN).The goal of the CSM-FFDNN model is to classify the different types of digitally modulated signals.The proposed CSM-FFDNN model involves two major processes namely FE and classification.The proposed model uses Sevcik Fractal Dimension(SFD)technique to extract the fractal features from the digital modulated signals.Besides,the extracted features are fed into the DNN model for modulation signal classification.To improve the classification performance of the DNN model,a barnacles mating optimizer(BMO)is used for the hyperparameter tuning of the DNN model in such a way that the DNN performance can be raised.A wide range of simulations takes place to highlight the enhanced performance of the CSM-FFDNN model.The experimental outcomes pointed out the superior recognition rate of the CSM-FFDNN model over the recent state of art methods interms of different evaluation parameters.

关键词： Pattern recognition signal modulation communication signals deep learning feature extraction

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：