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Improved Monarchy Butterfly Optimization Algorithm (IMBO): Intrusion Detection Using Mapreduce Framework Based Optimized ANU-Net

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Computers, Materials & Continua 2023年第6期75卷 5887-5909页

作者： Kunda Suresh Babu yamarthi narasimha rao School of Computer Science and Engineering VIT-AP UniversityAmaravathi522237Andhra PradeshIndia

The demand for cybersecurity is rising recently due to the rapid improvement of network *** a primary defense mechanism,an intrusion detection system(IDS)was anticipated to adapt and secure com-puting infrastructures from the constantly evolving,sophisticated threat ***,various deep learning methods have been put forth;however,these methods struggle to recognize all forms of assaults,especially infrequent attacks,because of network traffic imbalances and a shortage of aberrant traffic samples for model *** work introduces deep learning(DL)based Attention based Nested U-Net(ANU-Net)for intrusion detection to address these issues and enhance detection *** this IDS model,the first data preprocessing is carried out in three stages:duplication elimi-nation,label transformation,and data *** the features are extracted and selected based on the Improved Flower Pollination Algorithm(IFPA).The Improved Monarchy Butterfly Optimization Algorithm(IMBO),a new metaheuristic,is used to modify the hyper-parameters in ANU-Net,effectively increasing the learning rate for spatial-temporal information and resolving the imbalance *** the use of parallel programming,the MapReduce architecture reduces computation complexity while signifi-cantly accelerating *** publicly available data sets were used to evaluate and test the *** investigational outcomes suggest that the proposed technique can more efficiently boost the performances of IDS under the scenario of unbalanced *** proposed method achieves above 98%accuracy and classifies various attacks significantly well compared to other classifiers.

关键词： Intrusion detection system(IDS) attention based nested U-Net

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Evaluation of the microstructure, secondary dendrite arm spacing, and mechanical properties of Al–Si alloy castings made in sand and Fe–Cr slag molds

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International Journal of Minerals,Metallurgy and Materials 2017年第7期24卷 784-793页

作者： I.narasimha Murthy J.Babu rao Department of Metallurgical Engineering Andhra University Visakhapamam 530003 India

The microstructure and mechanical properties of as-cast A356（Al–Si） alloy castings were investigated. A356 alloy was cast into three different molds composed of sand, ferrochrome（Fe–Cr） slag, and a mixture of sand and Fe–Cr. A sodium silicate–CO_2 process was used to make the necessary molds. Cylindrical-shaped castings were prepared. Cast products with no porosity and a good surface finish were achieved in all of the molds. These castings were evaluated for their metallography, secondary dendrite arm spacing（SDAS）, and mechanical properties, including hardness, compression, tensile, and impact properties. Furthermore, the tensile and impact samples were analyzed by fractography. The results show that faster heat transfer in the Fe–Cr slag molds than in either the silica sand or mixed molds led to lower SDAS values with a refined microstructure in the products cast in Fe–Cr slag molds. Consistent and enhanced mechanical properties were observed in the slag mold products than in the castings obtained from either sand or mixed molds. The fracture surface of the slag mold castings shows a dimple fracture morphology with a transgranular fracture nature. However, the fracture surfaces of the sand mold castings display brittle fracture. In conclusion, products cast in Fe–Cr slag molds exhibit an improved surface finish and enhanced mechanical properties compared to those of products cast in sand and mixed molds.

关键词： silica sand ferrochrome slag alloy castings secondary dendrite arm spacing mechanical properties

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An improved analytical model of 4H-SiC MESFET incorporating bulk and interface trapping effects

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Journal of Semiconductors 2015年第1期36卷 64-75页

作者： M.Hema Lata rao N.V.L.narasimha Murty School of Electrical Sciences IIT BhubaneswarBhubaneswar 751013India

An improved analytical model for the current–voltage（I–V） characteristics of the 4H-SiC metal semiconductor field effect transistor（MESFET） on a high purity semi-insulating（HPSI） substrate with trapping and thermal effects is presented. The 4H-SiC MESFET structure includes a stack of HPSI substrates and a uniformly doped channel layer. The trapping effects include both the effect of multiple deep-level traps in the substrate and surface traps between the gate to source/drain. The self-heating effects are also incorporated to obtain the accurate and realistic nature of the analytical model. The importance of the proposed model is emphasised through the inclusion of the recent and exact nature of the traps in the 4H-SiC HPSI substrate responsible for substrate *** analytical model is used to exhibit DC I–V characteristics of the device with and without trapping and thermal effects. From the results, the current degradation is observed due to the surface and substrate trapping effects and the negative conductance introduced by the self-heating effect at a high drain voltage. The calculated results are compared with reported experimental and two-dimensional simulations（Silvaco -TCAD）. The proposed model also illustrates the effectiveness of the gate–source distance scaling effect compared to the gate–drain scaling effect in optimizing 4H-SiC MESFET performance. Results demonstrate that the proposed I–V model of 4H-SiC MESFET is suitable for realizing SiC based monolithic circuits（MMICs） on HPSI substrates.

关键词： SiC MESFET HPSI substrate deep-level traps MMICs

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Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

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Intelligent Automation & Soft Computing 2023年第1期35卷 983-995页

作者： Ravi Samikannu K.Vinoth narasimha rao Dasari Senthil Kumar Subburaj Department of Electrical Computer and Telecommunications Engineering Botswana International University of Science and TechnologyBotswana Department of Electrical and Electronics Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennaiTamil NaduIndia Department of Electrical Power Engineering College of EngineeringDefence UniversityEthiopia Department Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and TechnologySembakkamTamil NaduIndia

Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing *** energy sources are playing a significant role in the modern energy system with rapid *** renewable sources like fuel combustion and solar energy,the generated voltages change due to their environmental *** develop energy resources,electric power generation involved huge *** power and output voltages are plays important role in our work but it not considered in the existing *** considering the power and voltage,Gaussian PI Controller-Maxpooling Deep Convolutional Neural Network Classifier(GPIC-MDCNNC)Model is introduced for the grid-connected renewable energy *** input information is collected from two input *** that,input layer transfer information to hidden layer 1 fuzzy PI is employed for controlling voltage in GPIC-MDCNNC *** layer 1 is transferred to hidden layer *** activation is employed for determining the output voltage with help of the *** last,the output layer offers the last value in GPIC-MDCNNC *** designed method was confirmed using one and multiple sources by stable and unpredictable input ***-MDCNNC Model increases the performance of grid-connected renewable energy systems by enhanced voltage value compared with state-of-the-art *** control technique using GPIC-MDCNNC Model increases the dynamics of hybrid energy systems connected to the grid.

关键词： Multi-port converters renewable sources fuzzy PI controller gaussian activation function fuel cell

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Optical and structural properties of highly porous shell structured Fe doped TiO_2 thin films

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Rare Metals 2014年第5期33卷 578-582页

作者： C.S.Naveen P.Raghu H.M.Mahesh K.narasimha rao R.Rakesh Kumar A.R.Phani Department of Electronic Science Bangalore UniversityJnanabharathi Department of Instrumentation and Applied Physics Indian Institute of Science Nano-Research for Advanced Materials and Technologies (Nano-RAM Technologies)

TiO2thin films with 0.2 wt%, 0.4 wt%, 0.6wt%, and 0.8 wt% Fe were prepared on glass and silicon substrates using sol–gel spin coating technique. The optical cut-off points are increasingly red-shifted and the absorption edge is shifted over the higher wavelength region with Fe content increasing. As Fe content increases, the optical band gap decreases from 3.03 to 2.48 eV whereas the tail width increases from 0.26 to 1.43 eV. The X-ray diffraction（XRD） patterns for doped films at 0.2 wt% and0.8 wt% Fe reveal no characteristic peaks, indicating that the film is amorphous whereas undoped TiO2exhibits（101） orientation with anatase phase. Thin films of higher Fe content exhibit a homogeneous, uniform, and nanostructured highly porous shell morphology.

关键词： Fe TiO2 Porous shell Sol–gel

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DNA Computing with Water Strider Based Vector Quantization for Data Storage Systems

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Computers, Materials & Continua 2023年第3期74卷 6429-6444页

作者： A.Arokiaraj Jovith S.Rama Sree Gudikandhula narasimha rao K.Vijaya Kumar Woong Cho Gyanendra Prasad Joshi Sung Won Kim Department of Networking and Communications College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science Engineering Aditya Engineering CollegeSurampalemAndhra Pradesh533437India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer Science and Engineering Vignan’s Institute of Engineering for WomenVisakhapatnam530049India 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

The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of *** accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be employed,which encodes and decodes binary data to and from synthesized strands of *** quantization(VQ)is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression *** article introduces a newDNAComputingwithWater StriderAlgorithm based Vector Quantization(DNAC-WSAVQ)technique for Data Storage *** proposed DNAC-WSAVQ technique enables encoding data using DNA computing and then compresses it for effective data ***,the DNAC-WSAVQ model initially performsDNA encoding on the input images to generate a binary encoded *** addition,aWater Strider algorithm with Linde-Buzo-Gray(WSA-LBG)model is applied for the compression process and thereby storage area can be considerably *** order to generate optimal codebook for LBG,the WSA is applied to *** performance validation of the DNAC-WSAVQ model is carried out and the results are inspected under several *** comparative study highlighted the improved outcomes of the DNAC-WSAVQ model over the existing methods.

关键词： DNA computing data storage image compression vector quantization ws algorithm space saving

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Finite Element Modeling of Stress Strain Curve and Micro Stress and Micro Strain Distributions of Titanium Alloys— A Review

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Journal of Minerals and Materials Characterization and Engineering 2012年第10期11卷 953-960页

作者： Gangi Setti Srinivasu narasimha rao Raja Department Mechanical Engineering National Institute of Technology Warangal India

Most of the alloys like titanium, steel, brass, copper, etc., are used in engineering applications like automobile, aero- space, marine etc., consist of two or more phases. If a material consists of two or more phases or components it is very difficult to predict the properties like mechanical and other properties based on simple laws such as rule of mixtures. Titanium alloys are capable of producing different microstructures when it subjected to heat treatments, so much of money and time are squandering to study the effect of microstructure on mechanical properties of titanium alloys. This squandering can be reduced with the help of modeling and optimization techniques. There are many modeling tech- niques like Finite element method, Mat lab, Mathematical modeling etc. are available. But Finite element method is widely used for prediction because of capable of producing distributions of stresses and strains at any different loads. From the literature it is observed that there is a good agreement between the calculated and measured stress strain curves. This review paper describes the effect of volume fraction and grain size of alpha phase on the stress strain curve of the titanium alloys. It also can predict the effect of strength ratio on stress strain curve by using FEM. This informa- tion will be of great use in designing and selecting the titanium alloys for various engineering applications.

关键词： Titanium Alloys Finite Element Modeling Stress-Strain Curve

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Hydro Bioreactor a Sustainable Technology for Vermicomposting

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Journal of Environmental Science and Engineering 2010年第1期4卷 42-46页

作者： Syeda Azeem Unnisa Gaddamanugu narasimha rao Centre for Environment 1ST dawaharlal Nehru Technological University Kukatpally-Hyderabad#85 India Project Officer Naandi Foundation 2nd Floor Imperial Plaza 6-3-883 Panjagutta Hyderabad 82 A.P India

The adverse impact of chemical agriculture in the India on the soil, water, environment and human health （of consumers and farm families） exacerbates rural poverty, even as agriculture productivity remains low. Poor families, especially women, are the most affected by the health and environmental risks that are brought on by chemical agriculture, and they are hardest hit by the deteriorating productivity. On the other hand, the solid waste management problem in India is increasingly being felt in rural and urban areas. In this study, the author proposes to practice ofvermicomposting as technology for both sustainable agriculture and solid waste management, using the Hydro Bioreactor with vegetable waste. This technique is studied in the present research work which is simple and potentially inexpensive. Experiments were conducted to determine the changes in the physicochemical parameters and the dominant species of microorganisms at different temperatures during entire process of vermicomposting were investigated. The vermicompost developed in the hydro bioreactor was found to have comparatively high value of nutrients which can serve as natural fertilizer. The hydro bioreactor vermicomposting has proved very effective and efficient for developing compost from vegetable waste.

关键词： Hydro bioreactor vegetable waste vermincomposting agriculture.

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Comparative Studies on Microstructure and Mechanical Properties of Granulated Blast Furnace Slag and Fly Ash Reinforced AA 2024 Composites

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Journal of Minerals and Materials Characterization and Engineering 2014年第4期2卷 319-333页

作者： Inampudi narasimha Murthy Nallabelli Arun Babu Jinugu Babu rao Department of Metallurgical Engineering Andhra University Visakhapatnam India

Composites are most promising materials of recent interest. Metal matrix composites (MMCs) possess significantly improved properties compared to unreinforced alloys. There has been an increasing interest in composites containing low density and low cost reinforcements. In view of the generation of large quantities of solid waste by products like fly ash and slags, the present expensive manner in which it is discarded, new methods for treating and using these solid wastes are required. Hence, composites with fly ash and granulated blast furnace (GBF) slag as reinforcements are likely to overcome the cost barrier for wide spread applications in automotive and small engine applications. In the present investigation, AA 2024 alloy-5 wt% fly ash and GBF slag composites separately were made by stir casting route. Phase identification and structural characterization were carried out on fly ash and GBF slag by X-ray diffraction studies. Scanning electron microscopy with energy dispersive X-ray spectroscopy EDS was used for microstructure analysis. The hardness and compression tests were carried out on all these alloy and composites. The SEM studies reveal that there was a uniform distribution of fly ash and GBF slag particles in the matrix phase and also very good bonding existed between the matrix and reinforcement. Improved hardness and mechanical properties were observed for both the composites compared to alloy;this increase is higher for Al-fly ash composite than Al-GBF slag composite.

关键词： Aluminum Alloys MMCs Fly Ash Blast Furnace Slag Stir Casting

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Electron Paramagnetic Resonance Studies of Cu2+and VO2+Spin Probes in RO-Li2O-Na2O-K2O-B2O3(R = Zn, Mg, Sr and Ba) Glass Systems

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New Journal of Glass and Ceramics 2012年第1期2卷 51-58页

作者： Abdul Hameed Gokarakonda Ramadevudu Siddey Laksmisrinivasa rao Mohmmad Shareefuddin Mudumba narasimha Chary 不详

Mixed alkali and alkaline earth oxide glasses of RO-Li2O-Na2O-K2O-B2O3(R = Zn, Mg, Sr and Ba) system were studied by electron paramagnetic resonance (EPR) and optical absorption spectroscopy. Cu2+ and VO2+ ions were used as the spin probes. The glasses containing 1 mole% of Cu2+ and 2mole% of VO2+ were prepared by the melt quenching method. X-ray diffraction studies of the samples did not reveal crystalline phases. EPR measurements were made at X-band frequencies with 100 kHz field modulation, at 310 K. Optical spectra were recorded in the wavelength range 300 nm - 800 nm. From the EPR spectra the spin-Hamiltonian parameters were evaluated. The spin-Hamiltonian parameter values in the case of Cu2+ indicated that the ground state of Cu2+ was orbital (2B1g) and the site symmetry around Cu2+ is tetragonally distorted octahedral. The variation of gll and All with the alkaline earth oxide (RO) composition was found to be non-linear which may be due to the change in the ligand field strength at the site of Cu2+ ions. From the spin-Hamiltonian parameters of VO2+, it was observed that the vanadyl ions exist as VO2+ ions in octahedral coordination with tetragonal compression and have C4V symmetry with ground state dxy. Tetragonality (△gll/△g) of V4+ ion sites exhibited non-linear variation with RO content, which indicated change in the ligand field at the site of V4+. A broad optical absorption band was observed in the glass containing Cu2+ ions corresponding to the 2B1g → 2B2g transition. From the EPR and optical data the bond parameters were evaluated. In the case of VO2+ ions, the covalency rates were estimated.

关键词： Borate Glasses Electron Paramagnetic Resonance (EPR) Optical Absorption Spin-Hamiltonian Parameters

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