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security vulnerability Analyses of Large Language Models (LLMs) through Extension of the Common vulnerability scoring system (Cvss) Framework

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A hybrid BFA-PsO algorithm for economic dispatch with valve-point effects

Journal of software Engineering and Applications（软件工程与应用） 2024年第5期 340页

作者： Alicia Biju vishnupriya ramesh vijay K.Madisetti

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Frontiers in Energy 2012年第2期6卷 155-163页

作者： T.JAYABARATHI Prateek BAHL Harsha OHRI Afshin YAZDANI v. ramesh school of Electrical Engineering V I T University Vellore 632014India

This paper presents a novel and efficient method for solving the economic dispatch （ED） problems with valve-point effects, by integrating the biased velocity of particle swarm optimization （PsO） to the chemotaxis, swarming and reproduction steps of bacterial foraging algorithm （BFA）. To include valve point effects sinusoidal terms are added to the fuel cost function. This makes the ED problems highly non-linear. In order to solve such problems the best cell （or particle） biased velocity （vector） is added to the random velocity of the BFA to reduce randomness in movement （evolution） and to increase swarming. This results in the hybrid bacterial foraging algorithm （HBFA）. To demonstrate the effectiveness of the proposed HBFA method, numerical studies have been performed for three different sample systems. Comparison of the results obtained by the HBFA with the BFA and other evolutionary algorithms clearly show that the proposed method outperforms other methods in terms of convergence rate and solution quality in solving the ED problems with valve-point effects.

关键词： bacterial foraging algorithm (BFA) economic dispatch (ED) particle swarm optimization (PsO) valve- point effects

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution system

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Frontiers in Energy 2012年第1期6卷 47-56页

作者： L.ramesh N.CHAKRABORTY s.P.CHOWDHURY Electrical Engineering Department Jadavpur Universitykolkata 700032India Centre for Power Distribution Research Dr.MGRUniversityChermai 600095India Power Engineering Department Jadavpur Universitykolkata 700032India Electrical Engineering Department University ef Cape TownCape Town 7701South Africa

The advancement in power distribution system poses a great challenge to power engineering researchers on how to best monitor and estimate the state of the distribution network. This paper is exe,：uted in two stage processes. The first stage is to identify the optimal location for installation of monitoring instrument with minimal investment cost. The second stage is to estimate the bus voltage magnitude, where real time measurement is conducted and measured through identified meter location which is more essential for decision making in distribution supervisory control and data acquisition system （DsCADA）. The hybrid intelligent technique is applied to execute the above two algorithms. The algorithms are tested with institute of electrical and electronics engineers （IEEE） and Tamil Nadu electricity board （TNEB） bench- mark systems. The simulated results proves that the swarm tuned artificial neural network （ANN） estimator is best suited for accurate estimation of voltage with different noise levels.

关键词： artificial intelligence power distribution control state estimation

Evaluation of genetic potential of the polyvoltine silkworm (Bombyx mori L.) germplasm and identification of parents for breeding programme

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Journal of Zhejiang University-science B(Biomedicine & Biotechnology) 2006年第3期7卷 215-220页

作者： RAO C.G.P. sEsHAGIRI s.v. ramesh C. IBRAHIM BAsHA K. NAGARAJU H. CHANDRAsHEKARAIAH Andhra Pradesh state sericulture Research and Development Institute (APSSRDI) Kirikera Hindupur-515 211 India

In the present study, polyvoltine germplasm stock ofAndhra Pradesh state sericulture Research and Development, Institute （APssRDI） was evaluated for its performance based on quantitative and qualitative traits. Twenty-one oval and 10 peanut cocoon shaped lines were reared in different seasons of the year. since the polyvoltines are non-diapausing, six generations were reared and evaluated for various economically important traits based on evaluation index and sub-ordinate function statistical methods. Ten top ranked lines obtained by using both the methods were identified as potential parental strains. Among oval lines, APMI4, APMI 1, APMIs, APMW9, and APMI9, and among peanut lines APMD5, APMDI, APMD3, APMD9 and APMD8 were selected as base material. The identified high yielding lines will be used in various breeding programmes as initial parents for the synthesis of superior polyvoltine breeds/hybrids.

关键词： Polyvoltine silkworm Germplasm Performance Evaluation

Novel Contiguous Cross Propagation Neural Network Built CAD for Lung Cancer

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Computer systems science & Engineering 2023年第2期44卷 1467-1484页

作者： A.Alice Blessie P.ramesh Department of Electronics&Communication Engineering Government College of EngineeringTirunelveli627007TamilnaduIndia Department of Electrical&Electronics Engineering University College of EngineeringRamanathapuram623513TamilnaduIndia

The present progress of visual-based detection of the diseased area of a malady plays an essential part in the medicalﬁ*** that case,the image proces-sing is performed to improve the image data,wherein it inhibits unintended dis-tortion of image features or it enhances further processing in various applications andﬁ*** helps to show better results especially for diagnosing *** late the early prediction of cancer is necessary to prevent disease-causing *** work is proposed to identify lung cancer using lung computed tomo-graphy(CT)scan *** helps to identify cancer cells’affected *** the present work,the original input image from Lung Image Database Consortium(LIDC)typically suffers from noise *** overcome this,the Gaborﬁlter used for image processing is highly *** the next stage,the spherical Iterative Reﬁnement Clustering(sIRC)algorithm identiﬁes cancer-suspected areas on the CT scan *** approach can help radiologists and medical experts recognize cancer diseases and syndromes so that serious progress can be avoided in the early *** new methods help to remove unwanted por-tions of the CT image and better utilization the *** subspace extraction of features approach is beneﬁcial for evaluating lung *** paper introduces a novel approach called Contiguous Cross Propagation Neural Network that tends to locate regions afﬂicted by lung cancer using CT scan pictures(CCPNN).By using the feature values from the fourth step of the procedure,the proposed CCPNN tends to categorize the lesion in the lung nodular *** efﬁciency of the suggested CCPNN approach is evaluated using classiﬁcation metrics such as recall(%),precision(%),F-measure(percent),and accuracy(%).Finally,the incorrect classiﬁcation ratios are determined to compare the trained networks’effectiveness,through these parameters of CCPNN,it obtains the outstanding per-formance of 98.06%and it has provided the lowest false ratio of

关键词： Contiguous cross propagation neural network(CCPNN) Gaborﬁlter

Chatter stability prediction in high-speed micromilling of Ti6Al4 vvia finite element based microend mill dynamics

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Advances in Manufacturing 2018年第1期6卷 95-106页

作者： Kundan K. singh ramesh singh Department of Mechanical Engineering Indian Institute of Technology Bombay Powai Mumbai 400076 India

High-speed micromilling （spindle speeds 100 000r/min） can create complex three-dimensional microfeaturesin difficult-to-machine materials. The micromachined sur-face must be of high quatity, to meet functional require-ments. However, chatter-induced dynamic instabilitydeteriorates the surface quality and can be detrimental totool life. Chatter-free machining can be accomplished byidentifying stable process parameters via stability lobe dia-gram. To generate accurate stability lobe diagram, it isessential to determine the microend mill dynamics. Fre-quency response function is required to determine the tool-tip dynamics obtained by experimental impact *** that application of impact load at the microend mill tip（typically 100 - 500 μm） is not feasible as it would invari-ably end with tool failure. Consequently, alternative meth-ods need to be developed to identify the microend milldynamics. In the present work, the frequency responsefunction for the microend mill is obtained by finite elementmethod modal analysis. The frequency response functionobtained from modal analysis has been verified from theexperimentally obtained frequency response function. Theexperimental frequency response function was obtained byimpacting the microend mill near the taper portion with animpact hammer and measuring the vibration of the tool-tipwith a laser displacement sensor. The fundamental fre-quency obtained from finite element method modal analysisshows a difference of 6.6% from the experimental funda-mental frequency. Microend mill dynamics obtained fromthe finite element method is used for chatter prediction inhigh-speed micromilling operations. The stability lobe dia-gram predicts the stability boundary accurately at 60 000r/min and 80 000 r/min; however, a slight deviation isobserved at 100 000 r/min.

关键词： Chatter Micromilling Microend milldynamics Frequency response function Finite elementmodal analysis

导电纤维材料在高柔性可穿戴超级电容器中的研究进展

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新型炭材料（中英文） 2023年第2期38卷 211-229页

作者： Nujud Badawi M Namrata Agrawal syed Farooq Adil s ramesh K ramesh shahid Bashir Centre for Ionics University of Malaya Department of PhysicsFaculty of ScienceUniversiti MalayaKuala Lumpur 50603Malaysia University of Hafr Al-Batin College of ScienceHafer Al-Batin 39921Saudi Arabia swami shraddhanand College University of DelhiDelhiIndia Department of Chemistry College of ScienceKing Saud UniversityRiyadhKingdom of Saudi Arabia Department of Physics/saveetha school of Engineering Saveetha University(SIMATS)ChennaiIndia Higher Institution Centre of Excellence(HICoE) UM Power Energy Dedicated Advanced Centre(UMPEDAC)Universiti MalayaJalan Pantai Baharu59990 Kuala LumpurMalaysia

采用纤维材料制备的超级电容器因柔韧性好、质量轻、能量密度高等优点,成为人们关注的电化学储能器件。目前,他们已广泛应用在信息传感、数据计算和通信等电子系统中。这些基于纤维材料的超级电容器(sCs)拥有比标准的平行平板电容器和... 详细信息

采用纤维材料制备的超级电容器因柔韧性好、质量轻、能量密度高等优点,成为人们关注的电化学储能器件。目前,他们已广泛应用在信息传感、数据计算和通信等电子系统中。这些基于纤维材料的超级电容器(sCs)拥有比标准的平行平板电容器和电池具有更高的功率密度,因而再电子纺织品中大量使用。本文详细阐述了碳纳米管(CNTs)、石墨烯和聚(3,4-乙烯二氧噻吩):聚(苯乙烯磺酸)(PEDOT:Pss)的组成、纺丝和制备条件对可穿戴储能装置电化学性能的影响。

关键词：纺织基超级电容器智能织物柔性系统储能

Fabrication and functional characterization of engineered features on pyrolytic carbon

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Advances in Manufacturing 2016年第2期4卷 134-141页

作者： vivek Bajpai Bablu Prasad ramesh singh Department of Mechanical Engineering Indian Institute ofTechnology Bombay Powai Mumbai 400076 India Centre for Environmental science and Engineering IndianInstitute of Technology Bombay Powai Mumbai 400076India

Engineered features on pyrolytic carbon （PyC） have been reported to improve the functional performance of the bio-implants. This paper is focused on the functional characterization of micro-features created on the surface of PyC. Two different types of micro-features （wide channels and arrayed holes） have been created by micro-electrical discharge machining （micro-EDM）. Two other micro-fea- tures （fine channels and micro-pillars） have been created by micromilling process. Coliform bacterial strain was iso- lated from a sample of water and grown on all four tex- tured. Cell growth was carried out on an unmachined surface to see the behavior of the isolated bacterial strain on the textured/non-textured surfaces. The samples were examined under sEM before and after wash to see cell growth and cell adhesion capability of the textures. The wide channels by micro-EDM show the maximum cell growth but poor cell adhesion. 184% higher cell growth has been observed on the wide channels in comparison with unmachined surface. The fine channels by micro-milling show comparatively lower growth but the cell adhesion on this surface was found excellent. 71% cells remain unwa- shed after washing of the surface having fine channel textures. It means that the channels structure shows the maximum cell growth and adhesion independent of machining process.

关键词： Pyrolytic carbon Micro-features surfacetexturing Cell growth and adhesion

A novel mathematical morphology based algorithm for shoreline extraction from satellite images

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Geo-spatial Information science 2017年第4期20卷 345-352页

作者： C.A.Rishikeshan H.ramesh National Institute of Technology Karnataka Surathkal India

shoreline extraction is fundamental and inevitable for several *** the precise spatial location of the shoreline is ***,the need for using remote sensing data to accomplish the complex task of automatic extraction of features,such as shoreline,has considerably *** feature extraction can drastically minimize the time and cost of data acquisition and database *** and fast approaches are essential to monitor coastline retreat and update shoreline ***,we present a flexible mathematical morphology-driven approach for shoreline extraction algorithm from satellite *** salient features of this work are the preservation of actual size and shape of the shorelines,run-time structuring element definition,semi-automation,faster processing,and single band *** proposed approach is tested with various sensor-driven images with low to high *** of the developed methodology has been assessed with manually prepared ground truths of the study area and compared with an existing shoreline classification *** proposed approach is found successful in shoreline extraction from the wide variety of satellite images based on the results drawn from visual and quantitative assessments.

关键词： Feature extraction shoreline detection satellite image processing remote sensing mathematical morphology