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Logistic regression with Elliptical Curve Cryptography to Establish Secure IoT

Computer Systems Science & Engineering 2023年第6期45卷 2635-2645页

作者： J.r.arunkumar S.Velmurugan Balarengadurai Chinnaiah G.Charulatha M.ramkumar Prabhu A.Prabhu Chakkaravarthy Department of Information Technology Sree Vidyanikethan Engineering College(Autonomous)TirupatiAndhra PradeshIndia Department of Electronics and Communication Engineering TJS Engineering CollegeKavaraipettaiChennaiTamil NaduIndia Department of Computer Science and Engineering Vidyavardhaka College of EngineeringMysuruKarnatakaIndia Department of Electronics and Communication Engineering Peri Institute of TechnologyChennaiTamil NaduIndia Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical ScienceChennaiTamil NaduIndia

Nowadays,Wireless Sensor Network(WSN)is a modern technology with a wide range of applications and greatly attractive benefits,for example,self-governing,low expenditure on execution and data communication,long-term function,and unsupervised access to the *** Internet of Things(IoT)is an attractive,exciting *** applying communication technologies in sensors and supervising features,WSNs have initiated communication between the IoT *** IoT offers access to the highest amount of information collected through WSNs,it leads to privacy management ***,this paper provides a Logistic regression machine learning with the Elliptical Curve Cryptography technique(LrECC)to establish a secure IoT structure for preventing,detecting,and mitigating *** approach uses the Elliptical Curve Cryptography(ECC)algorithm to generate and distribute security *** algorithm is a light weight key;thus,it minimizes the routing ***,the Logistic regression machine learning technique selects the transmitter based on intelligent *** main application of this approach is smart *** approach provides continuing reliable routing paths with small *** addition,route nodes cooperate with IoT,and it handles the resources proficiently and minimizes the 29.95%delay.

关键词： Wireless sensor network internet of things security elliptical curve cryptography machine learning regression analysis

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More on the interplay between gut microbiota,autophagy,and inflammatory bowel disease is needed

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World Journal of Gastroenterology 2024年第27期30卷 3356-3360页

作者： arunkumar Subramanian Afrarahamed Jahabardeen Tamilanban Thamaraikani Chitra Vellapandian Department of Pharmacology SRM College of PharmacySRM Institute of Science and TechnologyKattankulathurChennai 603203India

The concept of inflammatory bowel disease(IBD),which encompasses Crohn’s disease and ulcerative colitis,represents a complex and growing global health concern resulting from a multifactorial *** dysfunctional autophagy and dysbiosis contribute to IBD,with their combined effects exacerbating the related inflammatory *** a result,the existing interconnection between gut microbiota,autophagy,and the host’s immune system is a decisive factor in the occurrence of *** factors that influence the gut microbiota and their impact are another important point in this *** on this initial perspective,this manuscript briefly highlighted the intricate interplay between the gut microbiota,autophagy,and IBD *** addition,it also addressed the potential targeting of the microbiota and modulating autophagic pathways for IBD therapy and proposed suggestions for future research within a more specific and expanded *** studies are warranted to explore restoring microbial balance and regulating autophagy mechanisms,which may offer new therapeutic avenues for IBD management and to delve into personalized treatment to alleviate the related burden.

关键词： Inflammatory bowel disease Gut microbiota Autophagy Crohn’s disease Ulcerative colitis

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Object recognition and Obstacle Avoidance robot

Object Recognition and Obstacle Avoidance Robot

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2009中国控制与决策会议

作者： Karthi Balasubramanian arunkumar r Jinu Jayachandran Vishnu Jayapal Bibin A Chundatt Joshua D Freeman Department of Electronics and Communication Engineering Amrita School of Engineering Amrita VishwavidyapeethamIndia

＜正＞Design highlights of a ’Three-wheeled Autonomous Navigational robot’ are presented in this *** efficient modular architecture is proposed for ease of adding various modules to the *** detection,pattern recognition and obstacle avoidance are the key aspects of the *** robot has intelligence built into it that enables it to recognize and pick up balls of a particular colour and ignore other objects in its path.A single board computer mounted on the robot acts as the central *** communicates with ultrasonic sensors and motors through multiple microcontrollers and controls the entire motion of the *** part of the robot design,a modified H-bridge circuit for driving DC motors efficiently is proposed in this paper.

关键词： Index Terms—Modular robot Architecture Obstacle Detection SONAr Object recognition Hough Transform Modified H-Bridge Circuit

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Autism Spectrum Disorder Diagnosis Using Ensemble ML and Max Voting Techniques

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Computer Systems Science & Engineering 2022年第4期41卷 389-404页

作者： A.arunkumar D.Surendran Computer science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India

Difﬁculty in communicating and interacting with other people are mainly due to the neurological disorder called autism spectrum disorder(ASD)*** diseases can affect the nerves at any stage of the human being in childhood,adolescence,and *** is known as a behavioral disease due to the appearances of symptoms over theﬁrst two years that continue until *** of the studies prove that the early detection of ASD helps improve the behavioral characteristics of patients with *** detection of ASD is a very challenging task among various *** learning(ML)algorithms still act very intelligent by learning the complex data and pre-dicting quality *** this paper,ensemble ML techniques for the early detec-tion of ASD are *** this detection,the dataset isﬁrst processed using three ML algorithms such as sequential minimal optimization with support vector machine,Kohonen self-organizing neural network,and random forest *** prediction results of these ML algorithms(ensemble)further use the bagging concept called max voting to predict theﬁnal *** accuracy,sensitivity,and speciﬁcity of the proposed system are calculated using confusion *** pro-posed ensemble technique performs better than state-of-the art ML algorithms.

关键词： SVM autism disorder Kohonen SONN max voting ensemble machine learning technique random forest SMO–SVM bootstrap gradient boosting

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Secure and Light Weight Elliptic Curve Cipher Suites in SSL/TLS

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Computer Systems Science & Engineering 2022年第1期40卷 179-190页

作者： B.arunkumar G.Kousalya Coimbatore Institute of Technology Coimbatore641014India

In the current circumstance,e-commerce through an online banking system plays a significant *** may either buy goods from E-Commerce websites or use online banking to move money to other *** a user participates in these types of behaviors,their sensitive information is sent to an untrust-worthy *** a consequence,when transmitting data from an internal browser to an external E-commerce web server using the cryptographic protocol SSL/TLS,the E-commerce web server ensures the security of the user’s *** user should be pleased with the confidentiality,authentication,and authenticity properties of the SSL/TLS on both the user’s web browser and the remote E-commerce web server.E-Commerce web servers should choose the best SSL/TLS cipher suites for negotiating the user in order to attain such optimistic scenarios,as the cipher suite used in SSL/TLS plays an important role in securing E-Commerce web *** paper primarily focuses on analyzing the SSL/TLS cipher and elliptic *** paper also recommends the best elliptic curve cipher suites for E-Commerce and online banking servers,based on their power consumption,handshake execution time,and key exchange and signature verification time.

关键词： Elliptic curve cipher suites secp256r1 curve25519 ed25519

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Immunological characterization of recombinant Wuchereria bancrofti cuticular collagen(COL-4)as putative vaccine candidate for human lymphatic filariasis

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Asian Pacific Journal of Tropical Medicine 2014年第7期7卷 505-512页

作者： Chakkaravarthy arunkumar Pandurangan Pandiaraja P.r.Prince Perumal Kaliraj Centre for Biotechnology Anna University

Objective:To elucidate immunoprophylactic potential of recombinant Wuchereria bancrofti(***)cuticular collagen(COL-4)in BALB/c mice and filarial clinical ***:col-4 gene was PCr amplified from *** L3 cDNA library and cloned in prSET B *** COL-4 was over expressed in salt inducible system and was purified by nickel afiinity *** and cellular responses were measured by EUSA and peripheral blood mononuclear cells(PBMC)of various filarial clinical samples respectively using purified recombinant COL-4 *** the protective immune responses of COL-4 immunized BALB/c mice were ***:Sequence analysis of COL-4 with human host proteins reveals lack of *** recombinant COL-4 was found to be at 15 kDa fusion *** affinity purified COL-4 showed significant reactivity with putatively immune sere and in a similar fashion it demonstrated marked proliferation in PBMC *** studies in experimental filarial host(mice)elicited significant liters with protective antibody isotype profile(IgM and IgG).Cellular immune responses were also significant in terms of splenocytes proliferation assay on mice ***:Our immunological findings in experimental host suggest Th2mediated immune ***,we propose that *** COL-4 could be an efficacious vaccine candidate against lymphatic filariasis.

关键词： Lymphatic filariasis Wuchereria banerofti Cuticular collagen Vaccine

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room Temperature Ferromagnetism in Dual Doped (Mn^(2+), Ni^(2+)) ZnO Codoped with Li^(1+) Prepared Using EDTA Sintered at Low Temperature

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Journal of Materials Science & Technology 2014年第3期30卷 275-279页

作者： r.Pugaze A.Sivagamasundari D.Vanidha S.Chandrasekar A.arunkumar S.rajagopan r.Kannan Department of Physics Pondicherry Engineering College Department of Chemistry Pondicherry Engineering College

Nanopowders of Znl_x_y_zMnxNiyLizO [（x = 0.04, y = 0, z = 0）, （x = 0.04, y = 0.03, z = 0） and （x = 0.04, y = 0.03, z = 0.03）] have been synthesized by sol-gel precursor route using ethylene diamine tetraacetic acid （EDTA） as a metal chelating agent. X-ray diffraction analysis confirms the formation of wurtzite hexagonal structure for all the three compositions. Mn2＋ doped ZnO exhibits room temperature ferromagnetism （rTFM）, and it is found that further Ni2＋ doping has decreased Ms because of limit of solid solubility of transition metal in ZnO. But codoping of monovalent Li1＋, further increases the ferromagnetism （FM） value, due to introduction of free carriers compared to the dual doped samples. Photoluminescence （PL） spectra of the system, exhibit near band edge （NBE） emission peak at --464 nm due to the electron transition from interstitials to the valence band. recombination of conduction electron with hole trapped at oxygen vacancy, leads to prominent defect emission peaks at --482 nm and 532 nm. The evidence of the formation of metaI-EDTA complexes are found from the Fourier transform infrared spectra at 2800-3800 cm-1 with shifting, splitting of the peak and also drastic variations in the intensity.

关键词： Mn-doped Dual doped Li codoped Ferromagnetism Photoluminescence Fourier transform infrared (FTIr) spectroscopy

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Multi-spectroscopic characterization of bovine serum albumin upon interaction with atomoxetine

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Journal of Pharmaceutical Analysis 2017年第3期7卷 148-155页

作者： arunkumar T. Buddanavar Sharanappa T. Nandibewoor P.G. Department of studies in Chemistry Karnatak UniversityDharwad 580003India

The quenching interaction of atomoxetine(ATX) with bovine serum albumin(BSA) was studied in vitro under optimal physiological condition(pH=7.4) by multi-spectroscopic techniques. The mechanism of ATX-BSA system was a dynamic quenching process and was confirmed by the fluorescence spectra and lifetime measurements. The number of binding sites, binding constants and other binding characteristics were computed. Thermodynamic parameters ΔH^0 and ΔS^0 indicated that intermolecular hydrophobic forces predominantly stabilized the drug-protein system. The average binding distance between BSA and ATX was studied by F?rsters theory. UV-absorption, Fourier transform infrared spectroscopy(FT-Ir), circular dichroism(CD), synchronous spectra and three-dimensional(3D) fluorescence spectral results revealed the changes in micro-environment of secondary structure of protein upon the interaction with ATX. Displacement of site probes and the effects of some common metal ions on the binding of ATX with BSA interaction were also studied.

关键词： Atomoxetine Bovine serum albumin 3D fluorescence spectra FT-Ir Energy transfer Lifetime measurement

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robust multifocus deep neural network for progression prediction on patient trajectory data

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 589-598页

作者： K.arunkumar S.Vasundra Department of CSE JNTUAAnanthapuramIndia Department of CSE JNTUACEAAnanthapuramIndia

Purpose-Patient treatment trajectory data are used to predict the outcome of the treatment to particular disease that has been carried out in the *** order to determine the evolving disease on the patient and changes in the health due to treatment has not considered existing *** deep learning models to trajectory data mining can be employed to identify disease prediction with high accuracy and less computation ***/methodology/approach-Multifocus deep neural network classifiers has been utilized to detect the novel disease class and comorbidity class to the changes in the genome pattern of the patient trajectory data can be identified on the layers of the *** is employed to learn extracted feature set with activation and weight function and then merged on many aspects to classify the undetermined sequence of diseases as a new *** performance of disease progression learning progress utilizes the precision of the constituent classifiers,which usually has larger generalization benefits than those optimized ***-Deep learning architecture uses weight function,bias function on input layers and max *** of the input layer has applied to hidden layer to generate the multifocus characteristics of the disease,and multifocus characterized disease is processed in activation function using reLu function along hyper parameter tuning which produces the effective outcome in the output layer of a fully connected *** results have proved using cross validation that proposed model outperforms methodologies in terms of computation time and ***/value-Proposed evolving classifier represented as a robust architecture on using objective function to map the data sequence into a class distribution of the evolving disease class to the patient ***,the generative output layer of the proposed model produces the progression outcome of the disease of the particular pa

关键词： Patient trajectory data Deep learning representatives Disease evolution Unstructured hierarchical data Cluster reconstruction error

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Foil-like receptor agonists induce apoptosis in mouse 3-cell lymphoma cells by altering NF-κB activation

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Cellular & Molecular Immunology 2013年第4期10卷 360-372页

作者： Nandini arunkumar Chaohong Liu Haiying Hang Wenxia Song Department of Cell Biology & Molecular Genetics University of Maryland College Park Maryland USA National Laboratory of Biomacromolecules Institute of Biophysics Chinese Academy of Sciences Beijing China

Toll-like receptor 9 （TLr9） recognizes microbial DNA containing unmethylated cytosyl guanosyl （CpG） sequences, induces innate immune responses, and facilitates antigen-specific adaptive immunity. recent studies report that in addition to stimulating innate immunity, TLr9 ligands induce apoptosis of TLr9 expressing cancer cells. To understand the mechanism of TLr9-induced apoptosis, we compared the effects of CpG containing oligodeoxynucleotides （CpG ODN） on a mouse B-cell lymphoma line, CH27, with those on mouse splenic B cells. CpG ODN inhibited constitutive proliferation and induced apoptosis in the CH27 B-cell lymphoma line. In contrast, CpG ODN-treated primary B cells were stimulated to proliferate and were rescued from spontaneous apoptosis. The induction of apoptosis required the ODNs to contain the CpG motif and the expression of TLr9 in lymphoma B cells. A decrease in Bcl-xl expression and an increase in Fas and Fas ligand expression accompanied lymphoma B-cell apoptosis. Treatment with the Fas ligand-neutralizing antibody inhibited CpG ODN-induced apoptosis. CpG ODN triggered a transient NF-κB activation in the B-cell lymphoma cell line, which constitutively expresses a high level of c-Myc, while CpG ODN induced sustained increases in NF-κB activation and c-Myc expression in primary B cells. Furthermore, an NF-κB inhibitor inhibited the proliferation of the CH27 B-cell lymphoma line. Our data suggest that the differential responses of lymphoma and primary B cells to CpG ODN are the result of differences in NF-KB activation. The impaired NF-KB activation in the CpG ODN-treated B-cell lymphoma cell line alters the balance between NF-κB and c-Myc, which induces Fas/Fas ligand-dependent apoptosis.

关键词： apoptosis lymphoma B cells NF-κB Toll-like receptor

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