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journal of Pharmaceutical Analysis 2012年第3期2卷 167-173页

作者： Vijaya Kumari Karra nageswara rao Pilli jaswanth Kumar Inamadugu j.V.L.N.Seshagiri rao University College of Pharmaceutical Sciences Jawaharlal Nehru Technological UniversityKukatpallyHyderabad-500085India Analytical and Environmental Chemistry Division Department of ChemistrySri Venkateswara UniversityTirupati-517502India College of Pharmaceutical Sciences Andhra UniversityVisakhapatnam-530003India

A simple and rapid liquid chromatography-tandem mass spectrometric(LC-MS/MS) assay method has been developed and fully validated for simultaneous quantification of pioglitazone and candesartan in human *** was used as an internal *** analytes were extracted from human plasma samples by solid-phase extraction technique using a Strata-X 33 mm polymeric *** reconstituted samples were chromatographed on a C18 column by using a 80:20(v/v) mixture of acetonitrile and 0.1% formic acid as the mobile phase at a flow rate of 0.8 mL/*** calibration curves obtained were linear(rZ0.99) over the concentration range of 15-3000 ng/mL for pioglitazone and 5-608 ng/mL for *** results of the intra-and inter-day precision and accuracy studies were well within the acceptable limits.A run time of 2.7 min for each sample made it possible to analyze more than 300 plasma samples per *** proposed method was found to be applicable to clinical studies.

关键词： Pioglitazone Candesartan Human plasma Solid-phase extraction LC-MS/MS Pharmacokinetics

S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA

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Financial Innovation 2020年第1期6卷 793-811页

作者： Madhavi Latha Challa Venkataramanaiah Malepati Siva nageswara rao Kolusu Department of CSE CMR College of Engineering&TechnologyHyderabadIndia Department of Commerce SG Govt.Degree&PG CollegePilerAndhra PradeshIndia Department of Management Studies Vignan Foundation for ScienceTechnology&ResearchGunturAndhra PradeshIndia

This study forecasts the return and volatility dynamics of S&P BSE Sensex and S&P BSE IT indices of the Bombay Stock *** achieve the objectives,the study uses descriptive statistics;tests including variance ratio,Augmented Dickey-Fuller,Phillips-Perron,and Kwiatkowski Phillips Schmidt and Shin;and Autoregressive Integrated Moving Average(ARIMA).The analysis forecasts daily stock returns for the S&P BSE Sensex and S&P BSE IT time series,using the ARIMA *** results reveal that the mean returns of both indices are positive but near *** is indicative of a regressive tendency in the *** forecasted values of S&P BSE Sensex and S&P BSE IT are almost equal to their actual values,with few ***,the ARIMA model is capable of predicting medium-or long-term horizons using historical values of S&P BSE Sensex and S&P BSE IT.

关键词： Efficient market hypothesis Bombay stock exchange ARIMA KPSS S&P BSE Sensex Forecasting S&P BSE IT

An Efficient Long Short-Term Memory Model for Digital Cross-Language Summarization

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Computers, Materials & Continua 2023年第3期74卷 6389-6409页

作者： Y.C.A.Padmanabha Reddy Shyam Sunder Reddy Kasireddy nageswara rao Sirisala Ramu Kuchipudi Purnachand Kollapudi Department of CSE B V Raju Institute of TechnologyNarsapurMedakT.S502313India Department of IT Vasavi College of EngineeringHyderabadT.S500089India Department of CSE K.S.R.M College of EngineeringKadapaA.P516003India Department of IT C.B.I.TGandipetHyderabadTelangana500075India

The rise of social networking enables the development of multilingual Internet-accessible digital documents in several *** digital document needs to be evaluated physically through the Cross-Language Text Summarization(CLTS)involved in the disparate and generation of the source ***-language document processing is involved in the generation of documents from disparate language sources toward targeted *** digital documents need to be processed with the contextual semantic data with the decoding *** paper presented a multilingual crosslanguage processing of the documents with the abstractive and summarising of the *** proposed model is represented as the Hidden Markov Model LSTM Reinforcement Learning(HMMlstmRL).First,the developed model uses the Hidden Markov model for the computation of keywords in the cross-language words for the *** the second stage,bi-directional long-short-term memory networks are used for key word extraction in the cross-language ***,the proposed HMMlstmRL uses the voting concept in reinforcement learning for the identification and extraction of the *** performance of the proposed HMMlstmRL is 2%better than that of the conventional bi-direction LSTM model.

关键词： Text summarization reinforcement learning hidden markov model cross-language multilingual

Microstructure, properties and hot workability of M300 grade maraging steel

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Defence Technology（防务技术） 2018年第1期14卷 51-58页

作者： K.V.A.Chakravarthi N.T.B.N.Koundinya S.V.S.Narayana Murty B.nageswara rao Materials and Mechanical Entity Vikram Sarabhai Space Centre Research scholar Department of Mechanical Engineering K L University Department of Metallurgical Engineering and Materials Science Indian Institute of Technology Department of Mechanical Engineering K L University

This paper presents isothermal uniaxial compression test results of M300 grade maraging steel over a wide range of temperatures(900 e1200℃) and strain rates(0.001 e100 s^(-1)) to examine hot deformability and concurrent microstructural evolution. Processing map is generated and indicated the optimum processing parameters in the temperature range of 1125℃-1200℃ and strain rate range of 0.001 e0.1 s^(-1). High values of the efficiency of power dissipation, microstructural observations and EBSD results indicate softening mechanism to be the occurrence of dynamic recrystallisation. Material constants in a constitutive relation are evaluated from the flow stress data useful in computer modelling.

关键词： Activation energy Constitutive relation Hot deformation M300 grade maraging steel Processing map

Ca(Ⅱ)、Mg(Ⅱ)和Zn(Ⅱ)与丙二醇-水混合体系中L-多巴的二元配合物的生成平衡(英文)

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无机化学学报 2013年第6期29卷 1235-1242页

作者： Santhee Devi K V Ramaraju B nageswara rao G 安得拉大学无机和分析化学系

在303 K恒温条件下，以NaCl为电解质保持离子强度为0．16mol·L-1，用pH滴定法研究了M（Ⅱ）-Dopa（多巴）二元配合物在0-60％（V/V）的丙二醇（PG）-水体系中的生成平衡。在PG-水体系中，Ca（Ⅱ）和Mg（Ⅱ）的典型配合物为MLH，ML2，M... 详细信息

在303 K恒温条件下，以NaCl为电解质保持离子强度为0．16mol·L-1，用pH滴定法研究了M（Ⅱ）-Dopa（多巴）二元配合物在0-60％（V/V）的丙二醇（PG）-水体系中的生成平衡。在PG-水体系中，Ca（Ⅱ）和Mg（Ⅱ）的典型配合物为MLH，ML2，ML2H和ML2H2，而Zn（Ⅱ）的典型配合物为ML，MLH，ML2，ML2H和ML2H2。根据静电和非静电力解释了稳定常数随介质的介电常数而变化的倾向。还讨论了在不同组成的丙二醇（PG）-水体系中配合物物种随pH值变化的情况。

关键词：二元物种金属配体丙二醇 pH滴定

Blockchain Assisted Intrusion Detection System Using Differential Flower Pollination Model

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Computers, Materials & Continua 2022年第12期73卷 4695-4711页

作者： Mohammed Altaf Ahmed Sara A Althubiti Dronamraju nageswara rao ELaxmi Lydia Woong Cho Gyanendra Prasad joshi Sung Won Kim Department of Computer Engineering College of Computer Engineering&SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science and Engineering Chitkara University Institute of Engineering and TechnologyChitkara UniversityPunjab140401India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Software Convergence Daegu Catholic UniversityGyeongsan38430Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

Cyberattacks are developing gradually sophisticated,requiring effective intrusion detection systems(IDSs)for monitoring computer resources and creating reports on anomalous or suspicious *** the popularity of Internet of Things(IoT)technology,the security of IoT networks is developing a vital *** of the huge number and varied kinds of IoT devices,it can be challenging task for protecting the IoT framework utilizing a typical *** typical IDSs have their restrictions once executed to IoT networks because of resource constraints and ***,this paper presents a new Blockchain Assisted Intrusion Detection System using Differential Flower Pollination with Deep Learning(BAIDS-DFPDL)model in IoT *** presented BAIDS-DFPDLmodelmainly focuses on the identification and classification of intrusions in the IoT *** accomplish this,the presented BAIDS-DFPDL model follows blockchain(BC)technology for effective and secure data transmission among the ***,the presented BAIDSDFPDLmodel designs Differential Flower Pollination based feature selection(DFPFS)technique to elect ***,sailfish optimization(SFO)with Restricted Boltzmann Machine(RBM)model is applied for effectual recognition of *** simulation results on benchmark dataset exhibit the enhanced performance of the BAIDS-DFPDL model over other models on the recognition of intrusions.

关键词： Internet of things feature selection intrusion detection blockchain security deep learning

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轴向磁场混合永磁记忆电机电磁转矩精确分离

东南大学学报（自然科学版） 2024年第3期54卷 730-737页

作者：杨公德饶飞林明耀福州大学电气工程与自动化学院福州350108 东南大学电气工程学院南京210096

为了解决传统记忆电机转矩密度较低,电枢绕组与励磁绕组空间位置冲突等问题,结合轴向磁场永磁电机,提出一种新型轴向磁场混合永磁记忆电机.该电机采用定子分离结构,使用NdFeB与AlNiCo混合励磁,实现宽调速范围和高转矩密度.为了分析不同... 详细信息

为了解决传统记忆电机转矩密度较低,电枢绕组与励磁绕组空间位置冲突等问题,结合轴向磁场永磁电机,提出一种新型轴向磁场混合永磁记忆电机.该电机采用定子分离结构,使用NdFeB与AlNiCo混合励磁,实现宽调速范围和高转矩密度.为了分析不同永磁体对新型电机输出转矩的贡献,解决传统冻结磁导率法无法准确分离电磁转矩的问题,提出一种新型冻结磁导率法,并对比分析了2种方法的分离结果.结果表明:在不同磁化状态下,新型转矩分离方法的分离精度始终高于传统转矩分离方法,与有限元计算结果的相对误差始终小于5%;在正向完全充磁状态下,新型转矩分离方法与有限元计算结果的相对误差仅为0.94%.所提转矩分离方法实现了新型记忆电机中电磁转矩的精确分离.

关键词：混合永磁记忆电机定子分离冻结磁导率转矩分离

Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance

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Computers, Materials & Continua 2023年第1期74卷 1523-1540页

作者： Sandeep Kumar MohdAnul Haq Arpit jain C.Andy jason nageswara rao Moparthi Nitin Mittal Zamil S.Alzamil Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAP522502India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Computer Science and Engineering Teerthanker Mahaveer UniversityMoradabadUttar Pradesh244001India Department of Electronics and Communication Engineering Sreyas Institute of Engineering and TechnologyHyderabad500068India University Centre for Research and Development Chandigarh UniversityMohali140413PunjabIndia

Day by day,biometric-based systems play a vital role in our daily *** paper proposed an intelligent assistant intended to identify emotions via voice message.A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert *** proposed smart assistant aims to provide a support to the people through buzzer and light emitting diodes(LED)alert signals and it also keep track of the places like households,hospitals and remote areas,*** proposed approach is able to detect seven emotions:worry,surprise,neutral,sadness,happiness,hate and *** key elements for the implementation of speech emotion recognition are voice processing,and once the emotion is recognized,the machine interface automatically detects the actions by buzzer and *** proposed system is trained and tested on various benchmark datasets,i.e.,Ryerson Audio-Visual Database of Emotional Speech and Song(RAVDESS)database,Acoustic-Phonetic Continuous Speech Corpus(TIMIT)database,Emotional Speech database(Emo-DB)database and evaluated based on various parameters,i.e.,accuracy,error rate,and *** comparing with existing technologies,the proposed algorithm gave a better error rate and less *** rate and time is decreased by 19.79%,5.13 *** the RAVDEES dataset,15.77%,0.01 s for the Emo-DB dataset and 14.88%,3.62 for the TIMIT *** proposed model shows better accuracy of 81.02%for the RAVDEES dataset,84.23%for the TIMIT dataset and 85.12%for the Emo-DB dataset compared to Gaussian Mixture Modeling(GMM)and Support Vector Machine(SVM)Model.

关键词： Speech emotion recognition classifier implementation feature extraction and selection smart assistance

Co(Ⅱ),Ni(Ⅱ)和Cu(Ⅱ)与L-多巴和1,10-菲咯啉在低介电介质中三元配合物体系的化学物种(英文)

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无机化学学报 2012年第4期28卷 785-794页

作者： Ramaraju R Santhee Devi K V nageswara rao G 安得那大学无机和分析化学系印度维沙卡帕特530003

对M髤[M=Co,Ni and Cu]与L-多巴（L）和1,10-菲咯啉（X）在的1,4-二氧杂环己烷（DOX）-水混合物【0~60%（V/V）】三元配合物体系在（303.0±0.1）K和离子强度为0.16 mol.L-1情况下进行pH滴定。结果表明：对Co髤和Cu髤而言,三元物种为MLX... 详细信息

对M髤[M=Co,Ni and Cu]与L-多巴（L）和1,10-菲咯啉（X）在的1,4-二氧杂环己烷（DOX）-水混合物【0~60%（V/V）】三元配合物体系在（303.0±0.1）K和离子强度为0.16 mol.L-1情况下进行pH滴定。结果表明：对Co髤和Cu髤而言,三元物种为MLX2H,MLXH,ML2X和MLX,但对Ni髤而言,三元物种为MLX2H,MLXH和MLX。三元物种的稳定性和浓度随介质的介电常数的变化趋势根据静电和非静电力作出解释。同时还给出了物种在不同pH值的DOX-水混合物中的分布图。根据滴定曲线推论了各种二元和三元配合物的生成。用两种方法解释了三元配合物比对应的二元配合物稳定的原因。

关键词：稳定常数 pH-滴定化学物种金属配体 1,4-二氧杂环己烷

Simultaneous determination of telmisartan and amlodipine in human plasma by LC-MS/MS and its application in a human pharmacokinetic study

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journal of Pharmaceutical Analysis 2012年第5期2卷 319-326页

作者： Vasu Babu Ravi jaswanth Kumar Inamadugu nageswara rao Pilli Vudagandla Sreenivasulu Venkateswarlu Ponneri Research Studies Rayalaseema UniversityKurnool 518002India Wellquest Clinical Research Laboratories RamanthapurHyderabad 500013India BioPolymer and Thermophysical Lab Department of ChemistrySri Venkateswara UniversityTirupati 517502India Analytical and Environmental Chemistry Division Department of ChemistrySri Venkateswara UniversityTirupati 517502India

A rapid and sensitive liquid chromatography-tandem mass spectrometric （LC-MS/MS） assay method has been developed and fully validated for the simultaneous quantification of telmisartan and amlodipine in human plasma. Carbamazepine was used as an internal standard. Analytes and the internal standard were extracted from human plasma by solid-phase extraction technique using Waters Oasis HLB 1 cm3 （30 mg） extraction cartridge. The reconstituted samples were chromatographed on a Hypurity advance C18 column （50mm × 4.6mm, 5 gm） using a mixture of acetonitrile -5 mM ammonium acetate buffer （pH-4.0）（50：50, v/v） as the mobile phase at a flow rate of 0.8mL/min. The calibration curve obtained was linear （r_〉0.99） over the concentration range of 2.01-400.06 ng/mL for telmisartan and 0.05 -10.01 ng/mL for amlodipine. Method validation was performed as per FDA guidelines and the results met the acceptance criteria. A run time of 2.5 min for each sample made it possible to analyze more than 400 human plasma samples per day. The proposed method was found to be applicable to clinical studies.

关键词： Telmisartan Amlodipine Human plasma Solid-phase extraction LC-MS/MS Pharmacokinetics