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Incorporation of europium (Ⅱ) nanostructures into the channels of mesoporous silicon oxy-nitride for enhanced photoluminescence

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Journal of Rare Earths 2018年第5期36卷 449-455页

作者： d. suresh M. Yamashita T. Akai a National Institute for Advanced Industrial Science and Technology （AIST） Kansai Center 1-8-31 Midorigaoka lkeda Osaka 563-8577 Japan 6 Department of Chemistry School of Chemical and Biotechnology SASTRA Deemed University Thanjavur 613 401 India

divalent europium（Ⅱ）-doped mesoporous silicon oxy-nitride materials, as a novel type of nanoscopic photoluminescent material, are studied in which the optically active luminescent centers are isolated within the pores. Colorless and transparent blue emitting luminous Eu2＋-doped mesoporous silicon oxy-nitride materials were prepared from mesoporous silica via impregnation, nanocasting and nitrogen-assisted carbothermal reduction and nitridation method. The morphology and porosity of the silica remain unchanged during the synthesis process as revealed by SEM images and by nitrogen sorption studies. Photoluminescence studies reveal a strong blue emission band for Eu2＋ centered at 425 nm with a quantum efficiency of 47%. The luminescent intensity is greatly influenced by the amount of co-dopant, AI3＋ ions.

关键词： Blue luminescence divalent europium Mesoporous silicon oxy-nitride Carbothermal reduction and nitridation(CRN) Rare earths

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Rauvolfia serpentina-Mediated Green Synthesis of CuO Nanoparticles and Its Multidisciplinary Studies

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Acta Metallurgica Sinica(English Letters) 2015年第9期28卷 1134-1140页

作者： K.Lingaraju H.Raja Naika K.Manjunath G.Nagaraju d.suresh H.Nagabhushana department of Studies and Research in Environmental Science Tumkur University Centre for Nano and Material Sciences Jain University department of Chemsitry Siddaganga Institute of Technology department of Studies and Research in Chemistry Tumkur University Prof. C.N.R. Rao Center for Advanced Materials Tumkur University

Copper oxide nanoparticles （CuO Nps） were successfully synthesized by solution combustion method using aqueous leaf extract of Rauvolfia serpentina as a fuel. The structure and morphology of the CuO nanoparticles （Nps） were characterized by powder X-ray diffraction （PXRd）, UV-visible spectroscopy （UV-visible）, scanning electron microscopy （SEM）, transmission electron microscopy （TEM）, etc. The PXRd patterns reveal the formation of monoclinic phase with crystallite structure. SEM images indicate that the particles have sponge-like structure being highly porous and agglom- erated with large surface area. The average crystallite sizes were found to be in the range of 10-20 nm by Scherrer＇s method. The CuO Nps size was further confirmed by TEM. Further, CuO Nps exhibit good photocatalytic activity for the photodegradation of trypan blue dye, indicating that it acts as a promising semiconducting material. The antibacterial properties of CuO nanoparticles were investigated against pathogenic bacterial strains, namely Gram -ve Escherichia coli （NCIM-5051） and Pseudomonas desmolyticum （NCIM-2028） and Gram ＋ve bacteria Staphylococcus aureus （NCIM- 5022） using the agar well diffusion method.

关键词： CuO Nanoparticles Rauvolfia serpentina Photocatalytic activity Antibacterial activity

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Automatic Finding of Brain-Tumour Group Using CNN Segmentation and Moth-Flame-Algorithm,Selected deep and Handcrafted Features

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Computers, Materials & Continua 2024年第5期79卷 2585-2608页

作者： Imad Saud Al Naimi Syed Alwee Aljunid Syed Junid Muhammad lmran Ahmad K.suresh Manic Faculty of Electronic Engineering Technology University Malaysia Perils(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia department of Electrical and Communication Engineering National University of Science and TechnologyAL HailAL Seeb130Sultanate of Oman department of Research and Innovation Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ChennaiTamiNadu602105India

Augmentation of abnormal cells in the brain causes brain tumor(BT),and early screening and treatmentwill reduce its harshness in ***’s clinical level screening is usually performed with Magnetic Resonance Imaging(MRI)due to its multi-modality *** overall aims of the study is to introduce,test and verify an advanced image processing technique with algorithms to automatically extract tumour sections from brain MRI scans,facilitating improved *** research intends to devise a reliable framework for detecting the BT region in the twodimensional(2d)MRI slice,and identifying its class with improved *** methodology for the devised framework comprises the phases of:(i)Collection and resizing of images,(ii)Implementation and Segmentation of Convolutional Neural Network(CNN),(iii)deep feature extraction,(iv)Handcrafted feature extraction,(v)Moth-Flame-Algorithm(MFA)supported feature reduction,and(vi)Performance *** study utilized clinical-grade brain MRI of BRATS and TCIA datasets for the *** framework segments detected the glioma(low/high grade)and glioblastoma class *** work helped to get a segmentation accuracy of over 98%with VGG-UNet and a classification accuracy of over 98%with the VGG16 *** study has confirmed that the implemented framework is very efficient in detecting the BT in MRI slices with/without the skull section.

关键词： Brain tumour VGG-UNet VGG16 moth-flame-algorithm classification

Structural,morphological,optical and antibacterial performances of rare earth(Sm)-doped ZnO nanorods

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Journal of Rare Earths 2024年第11期42卷 2119-2127页

作者： A.Ravi J.Samuel S.Sahaya Jude dhas S.Usharani Turibius Simon d.Senthil Kumar S.K.Jasmin Vijitha A.Sivakumar Raju suresh Kumar C.S.Biju department of Physics University College of Engineering department of Physics and Research Centre Malankara Catholic College Manonmaniam Sundaranar University Saveetha School of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha University department of Chemistry S.I.V.E.T College department of Biotechnology Vivekanandha College of Arts and Science for Woman (Autonomous) department of Physics Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology department of Physics & Research Centre Muslim Arts College Key Laboratory of High-temperature and High-pressure Study of the Earth's Interior Institute of GeochemistryChinese Academy of Sciences department of Chemistry College of ScienceKing Saud University department of Physics St. Alphonsa College of Arts and Science

The significant rise of ultra-violet（UV） radiation and pathogenic infectious bacteria poses a serious threat to global *** researchers' interests are attracted by novel materials with strong UVblocking ability,antibacterial activity and low toxicity to other *** this case,a simple wet chemical method with different annealing temperatures（400,500,and 600℃） was employed to create highly effective rare earth（Sm）-doped ZnO ***（101） plane of wurtzite ZnO shifts towards a lower angle with increasing annealing temperature,according to the X-ray diffraction（XRd） study findings,which additionally establishes the consequence of lattice *** of doublet peaks of Sm 3d(Sm 3d5/2and Sm 3d3/2) in the X-ray photoelectron spectroscopy（XPS） spectrum clearly validates the substitution of Sm3+ions in the 500℃-annealed *** 500℃-annealed nanorods exhibit combined performances of the wide band gap,improved UV absorbance,and vivid green luminescent emission（563 nm）.Additio nally,the nanorods have favorable UV-blocking execution of 96% for UVA at 360 nm,92% for UVB at 320 nm,and 57% for UVC at 225 nm,which is greater than the majority of ZnO-related materials that have been reported up to this *** doping is also appropriate for improving bacterial inhibition against the two studied strains（Escherichia coli and Staphylococcus aureus）,in addition to the intriguing features discussed ***,with maximum inhibition zone diameters of 20±0.72 and 18±0.57 mm,respectively,these nanorods exhibit high inhibitory action against *** and *** bacterial *** rare earth-doped material developed during the current experiment,which was annealed at 500℃,could potentially serve as an effective replacement for UV-blocking and antibacterial material,especially for biomedical applications.

关键词： Bacterial inhibition Metal oxide Rare earth doping UV-Shielding Wet chemical method

Adaptive Marine Predator Optimization Algorithm(AOMA)-deep Supervised Learning Classification(dSLC)based IdS framework for MANET security

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Intelligent and Converged Networks 2024年第1期5卷 1-18页

作者： M.Sahaya Sheela A.Gnana Soundari Aditya Mudigonda C.Kalpana K.suresh K.Somasundaram Yousef Farhaoui department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600069India department of Computer Science and Engineering Saveetha School of EngineeringSIMATSChennai 602105India JNIAS School of Planning and Architecture Hyderabad 500034India department of Computer Science and Engineering NPR College of Engineering and TechnologyNatham Dindigul 624401India department of Computer Science and Engineering PSNA College of Engineering and TechnologyPoolangulathupatti 620009India department of Computer Science and Engineering Sri Muthukumaran Institute of TechnologyChennai 600069India department of Computer Science Moulay Ismail UniversityMeknes 5003Morocco

due to the dynamic nature and node mobility,assuring the security of Mobile Ad-hoc Networks(MANET)is one of the difficult and challenging tasks *** MANET,the Intrusion detection System(IdS)is crucial because it aids in the identification and detection of malicious attacks that impair the network’s regular *** machine learning and deep learning methodologies are used for this purpose in the conventional works to ensure increased security of ***,it still has significant flaws,including increased algorithmic complexity,lower system performance,and a higher rate of ***,the goal of this paper is to create an intelligent IdS framework for significantly enhancing MANET security through the use of deep learning ***,the min-max normalization model is applied to preprocess the given cyber-attack datasets for normalizing the attributes or fields,which increases the overall intrusion detection performance of ***,a novel Adaptive Marine Predator Optimization Algorithm(AOMA)is implemented to choose the optimal features for improving the speed and intrusion detection performance of ***,the deep Supervise Learning Classification(dSLC)mechanism is utilized to predict and categorize the type of intrusion based on proper learning and training *** evaluation,the performance and results of the proposed AOMA-dSLC based IdS methodology is validated and compared using various performance measures and benchmarking datasets.

关键词： Intrusion detection System(IdS) Security Mobile Ad-hoc Network(MANET) min-max normalization Adaptive Marine Predator Optimization Algorithm(AOMA) deep Supervise Learning Classification(dSLC)

Human Bite Mark: A digital Analytical Pilot Study

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Journal of Forensic Science and Medicine 2024年第3期10卷 184-190页

作者： Nidhi Susan suresh Jigna S Shah department of Oral Medicine and Radiology Government Dental College and HospitalAhmedabadGujaratIndia

Background:Bite mark identification is based on the individuality of a dentition and helps in identifying the *** use of three-dimensional(3d)analysis of forensic evidence is highlighted in comparison with traditional *** has been used in registering bite mark on food *** our knowledge this is the first study where CBCT is used to register bite mark from human *** and Objective:To signify the potential of CBCT in registering and analysing the bite mark on human skin and to analyse various identifying *** and Method:60 subjects of either sex were asked to bite their own forearm and alginate impression of the maxillary and mandible dentition was taken and cast was *** bitemark and cast was subjected to CBCT scanning and parameters like arch shape,inter canine width,mesio distal dimension of anterior teeth,and individual characteristics like rotation,buccal/lingual tilting of teeth was noted and compared and assigned a score using simplified version ofABFO scoring ***:Highly significant result with 56.6%definite match,26.66%probable match and 16.66%possible match were obtained using ***:CBCT is a non-destructive,accurate,efficient,objective and reproducible *** of all parameter mesio-distal dimension of teeth is the best parameter to judge the bitemark on skin.

关键词： Arch shape bite mark buccal/lingual tilting cone-beam computed tomography intercanine distance mesiodistal dimension rotation

decoding bovine coronavirus immune targets:an epitope informatics approach

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Animal diseases 2024年第2期4卷 138-153页

作者： Swati Rani Mehnaj Khatoon Jagadish Hiremath Kuralayanapalya Puttahonnappa suresh Jayashree Anandakumar Nagendra Nath Barman Sheethal Manjunath Yamini Sri S Sharanagouda S.Patil Spatial Epidemiology Lab ICAR-National Institute of Veterinary Epidemiology and Disease InformaticsYelahankaBengaluruKarnataka 560064India College of Veterinary Science Assam Agricultural UniversityGuwahatiAssam 785013India Yuvaraja’s College Mysuru University of MysuruMysuruKarnataka 570005India

Bovine coronavirus(BCoV)poses a significant threat to the global cattle industry,causing both respiratory and gastrointestinal infections in cattle *** necessitates the development of efficacious *** several inactivated and live BCoV vaccines exist,they are predominantly limited to *** immunization of adult cattle is imperative for BCoV infection control,as it curtails viral transmission to calves and ameliorates the impact of enteric and respiratory ailments across all age groups within the *** study presents an in silico methodology for devising a multiepitope vaccine targeting *** spike glycoprotein(S)and nucleocapsid(N)proteins,which are integral elements of the BCoV structure,play pivotal roles in the viral infection cycle and immune *** constructed a remarkably effective multiepitope vaccine candidate specifically designed to combat the BCoV *** immunoinformatics technology,B-cell and T-cell epitopes were predicted and linked together using linkers and adjuvants to efficiently trigger both cellular and humoral immune responses in *** in silico construct was characterized,and assessment of its physicochemical properties revealed the formation of a stable vaccine *** 3d modeling of the vaccine construct,molecular docking revealed a stable interaction with the bovine receptor ***,the viability of the vaccine’s high expression and simple purification was demonstrated by codon optimization and in silico cloning expression into the pET28a(+)*** applying immunoinformatics approaches,researchers aim to better understand the immune response to bovine coronavirus,discover potential targets for intervention,and facilitate the development of diagnostic tools and vaccines to mitigate the impact of this virus on cattle health and the livestock *** anticipate that the design will be useful as a preventive treatment for BCoV sickness in cattle,opening the door for furthe

关键词： Immunoinformatics Bovine coronavirus Multiepitope vaccine Molecular docking In silico cloning

Optimized CUdA Implementation to Improve the Performance of Bundle Adjustment Algorithm on GPUs

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Journal of Software Engineering and Applications 2024年第4期17卷 172-201页

作者： Pranay R. Kommera suresh S. Muknahallipatna John E. McInroy department of Electrical Engineering and Computer Science University of Wyoming Laramie Wyoming USA

The 3d reconstruction pipeline uses the Bundle Adjustment algorithm to refine the camera and point parameters. The Bundle Adjustment algorithm is a compute-intensive algorithm, and many researchers have improved its performance by implementing the algorithm on GPUs. In the previous research work, “Improving Accuracy and Computational Burden of Bundle Adjustment Algorithm using GPUs,” the authors demonstrated first the Bundle Adjustment algorithmic performance improvement by reducing the mean square error using an additional radial distorting parameter and explicitly computed analytical derivatives and reducing the computational burden of the Bundle Adjustment algorithm using GPUs. The naïve implementation of the CUdA code, a speedup of 10× for the largest dataset of 13,678 cameras, 4,455,747 points, and 28,975,571 projections was achieved. In this paper, we present the optimization of the Bundle Adjustment algorithm CUdA code on GPUs to achieve higher speedup. We propose a new data memory layout for the parameters in the Bundle Adjustment algorithm, resulting in contiguous memory access. We demonstrate that it improves the memory throughput on the GPUs, thereby improving the overall performance. We also demonstrate an increase in the computational throughput of the algorithm by optimizing the CUdA kernels to utilize the GPU resources effectively. A comparative performance study of explicitly computing an algorithm parameter versus using the Jacobians instead is presented. In the previous work, the Bundle Adjustment algorithm failed to converge for certain datasets due to several block matrices of the cameras in the augmented normal equation, resulting in rank-deficient matrices. In this work, we identify the cameras that cause rank-deficient matrices and preprocess the datasets to ensure the convergence of the BA algorithm. Our optimized CUdA implementation achieves convergence of the Bundle Adjustment algorithm in around 22 seconds for the largest dataset compared

关键词： Scene Reconstruction Bundle Adjustment Levenberg-Marquardt Non-Linear Least Squares Memory Throughput Computational Throughput Contiguous Memory Access CUdA Optimization

Effect of spark plasma sintering and reinforcements on the formation of ultra-fine and nanograins in AA2024-TiB2-Y hybrid composites

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Progress in Natural Science:Materials International 2022年第1期32卷 79-86页

作者： CH.suresh Vidyasagar d.B.Karunakar department of Architecture and Planning Indian Institute of Technology Roorkee Mechanical and Industrial Engineering department Indian Institute of Technology Roorkee

This study reports the influence of sintering mechanism and reinforcement materials on the formation of ultra-fine and nanograins in Al-TiB-Y nanohybrid composites. The mechanical properties of the composites and their corresponding micro and nanostructures are correlated. The experimental and characterization results revealed that despite the addition of TiB, the hard and brittle AlTi phase formation in the composites was suppressed and hence, their ductility was retained. It was found that yttrium content of 0.3 wt% was the optimum amount which created advantageous spark plasma sintering conditions, and the addition of 0.3 wt% promoted the formation of bi-modal size grains（ultra-fine and nano） along with micro grains, Ω and other nano precipitates, resulting in a significant enhancement in the composite properties. The formation of ultra-fine and nanograins may be attributed to the combined effect of melting and rapid solidification at necking zones due to Joule’s heating and thermomechanical fatigue. Among all the sintered composites, the highest hardness（137 HV）, ultimate tensile strength（UTS）(496 MPa), yield strength（YS）(438 MPa) with 15.7% elongation were obtained in the sintered sample reinforced with 1.0 wt% TiBand 0.3 wt% yttrium.

关键词： Hybrid composites Ultra-fine grains Nano grains Spark plasma sintering Nano precipitates Microstructure