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Acoustical properties of a 3D printed honeycomb structure filled with nanofillers:Experimental analysis and optimization for emerging applications

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Defence Technology（防务技术） 2024年第5期35卷 248-258页

作者： Jeyanthi Subramanian Vinoth kumar selvaraj Rohan Singh Ilangovan S Naresh kakur Ruban Whenish School of Mechanical Engineering Vellore Institute of TechnologyChennai600127Tamil NaduIndia Department of Mechanical Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Chemical Engineering and Materials Science University of Southern CaliforniaLos Angeles90089USA Advanced Materials Research Centre Technology Innovation InstituteAbu Dhabi9639UAE Center for Biomaterials Cellular and Molecular TheranosticsVellore Institute of TechnologyVellore632014Tamil NaduIndia

The novelty of this research lies in the successful fabrication of a 3D-printed honeycomb structure filled with nanofillers for acoustic properties,utilizing an impedance tube setup in accordance with ASTM standard E *** Creality Ender-3,a 3D printer,was used for printing the honeycomb structures,and polylactic acid(PLA)material was employed for their *** organic,inorganic,and polymeric compounds within the composites were identified using fourier transformation infrared(FTIR)*** structure and homogeneity of the samples were examined using a field emission scanning electron microscope(FESEM).To determine the sound absorption coefficient of the 3D printed honeycomb structure,numerous samples were systematically developed using central composite design(CCD)and analysed using response surface methodology(RSM).The RSM mathematical model was established to predict the optimum values of each factor and noise reduction coefficient(NRC).The optimum values for an NRC of 0.377 were found to be 1.116 wt% carbon black,1.025 wt% aluminium powder,and 3.151 mm distance between parallel ***,the results demonstrate that a 3Dprinted honeycomb structure filled with nanofillers is an excellent material that can be utilized in various fields,including defence and aviation,where lightweight and acoustic properties are of great importance.

关键词： 3D printing Honeycomb structure Acoustics Field emission scanning electron microscope Response surface methodology

Going deep:Roots,carbon,and analyzing subsoil carbon dynamics

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Molecular Plant 2024年第1期17卷 1-3页

作者： Ezhilmathi Angela Joseph Fernando Michael selvaraj Yusaku Uga Wolfgang Busch Hunt Bowers Joe Tohme Alliance of Bioversity International and CIAT Km 17 Recta Cali-PalmiraAprtado Aereo 6713Cali 763537Colombia National Institute of Agrobiological Sciences(NIAS) TsukubaIbaraki 305-0856Japan Salk Institute for Biological Studies 10010 N Torrey Pines RoadLa JollaCA 92037USA Earth Optics Suite 840ArlingtonVA 22202USA

Agricultural practices currently contribute to the emission of approximately 10%–12%atmospheric greenhouse gasses,with tillage agriculture accelerating soil disruption and carbon dioxide ***,various options exist,such as converting new lands for agriculture,promoting healthier plant-based diets,adopting advanced management technologies,and minimizing food ***,these measures alone are insufficient to ensure environmental sustainability within planetary boundaries.

关键词： soil measures carbon

Quantitative detection of citrate for early stage diagnosing of prostate cancer:Discriminating normal to cancer in prostate tissues

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Chinese Chemical Letters 2024年第2期35卷 501-506页

作者： selvaraj Muthusamy kanagaraj Rajalakshmi Palanisamy kannan Yun-Sik Nam Dongwei Zhu Yeonggil Seo Jong-Won Song Dong Nyoung Heo Il keun kwon Yuanguo Xu School of Chemistry and Chemical Engineering Jiangsu UniversityZhenjiang 212013China College of Biological Chemical Sciences and EngineeringJiaxing UniversityJiaxing 314001China Advanced Analysis Center Korea Institute of Science & TechnologySeongbuk-guSeoul02792Republic of Korea School of Medicine Jiangsu UniversityZhenjiang 212013China Department of Chemistry Education Daegu UniversityGyeongsan-siGyeongsangbuk-do 38453Republic of Korea Department of Dental Materials School of DentistryKyung Hee UniversitySeoulRepublic of Korea

Prostate cancer(PC)biomarker-citrate detection is clinically important to diagnose PC in early *** iodide(Q)conjugated indole-phenylboronic acid(IB)was designed as a red-emissive QIB probe for the detection of citrate through Lewis acid-base reaction and intramolecular charge transfer(ICT)sensing *** acid acts as Lewis acid as well as citrate(Lewis base)recognition *** probe reacted with citrate,showing enhanced red *** the probe has excellent water solubility and great biocompatibility,practical application in biological systems is *** was monitored precisely in the mitochondria organelle(in vitro)of living cells with a positive charge on ***,endogenous(in situ)citrate was detected quantitatively to discriminate non-cancerous and PC mice,observed strong and lower(negligible)emission intensity on non-cancerous and cancerous prostate tissues,***,the concentration of citrate is higher in healthy prostate compared with PC ***,the analysis of sliced prostate tissues can give PC-related information for clinical diagnosis to prevent and treat PC in the initial ***,we believe that the present probe is a promising biochemical reagent in diagnosing PC.

关键词： Prostate cancer Biomarker-citrate Boronic acid Lewis acid/base-ICT Red-emissive Mitochondria targeting Prostate tissue

Multilayer Strategy for Photoelectrochemical Hydrogen Generation:New Electrode Architecture that Alleviates Multiple Bottlenecks

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Nano-Micro Letters 2022年第5期14卷 92-109页

作者： selvaraj Seenivasan Hee Moon Do‑Heyoung kim School of Chemical Engineering Chonnam National University77 Yongbong‑roGwangju 61186Republic of Korea

Years of research have demonstrated that the use of multiple components is essential to the development of a commercial photoelectrode to address specific bottlenecks,such as low charge separation and injection efficiency,low carrier diffusion length and lifetime,and poor durability.A facile strategy for the synthesis of multilayered photoanodes from atomic-layer-deposited ultrathin films has enabled a new type of electrode architecture with a total multilayer thickness of 15–17 *** illustrate the advantages of this electrode architecture by using nanolayers to address different bottlenecks,thus producing a multilayer photoelectrode with improved interface kinetics and shorter electron transport path,as determined by interface *** photocurrent density was twice that of the bare structure and reached a maximum of 33.3±2.1 mA cm^(−2) at 1.23 *** integrated overall water-splitting cell consisting of an electrocatalytic NiS cathode and Bi_(2)S_(3)/NiS/NiFeO/TiO_(2) photoanode was used for precious-metal-free seawater splitting at a cell voltage of 1.23 V without *** results and root analyses suggest that the distinctive advantages of the electrode architecture,which are superior to those of bulk bottom-up core–shell and hierarchical architectures,originate from the high density of active sites and nanometer-scale layer thickness,which enhance the suitability for interface-oriented energy conversion processes.

关键词： Atomic layer deposition Bismuth sulfide n-p junction Photoelectrochemical Nickel sulfide

Gray-Hole Attack Minimization in IoMT with 5G Based D2D Networks

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Computer Systems Science & Engineering 2022年第9期42卷 1289-1303页

作者： V.Balaji P.selvaraj Department of Computing Technologies College of Engineering and TechnologyFaculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia

Reliable transmission is vital to the success of the next generation ofcommunications technologies and Fifth Generation (5G) networks. Many sensitive applications, such as eHealth and medical services, can benefit from a 5G network. The Internet of Medical Things (IoMT) is a new field that fosters themaintenance of trust among various IoMT Device to Device (D2D) modern technologies. In IoMT the medical devices have to be connected through a wirelessnetwork and constantly needs to be self-configured to provide consistent and effi-cient data transmission. The medical devices need to be connected with sophisticated protocols and architecture to handle the synergy of the monitoring ***, one of the commonly used algorithms in D2D communication is the Optimized Link State Routing protocol (OLSR). The OLSR is considerably good ateffectively utilizing the bandwidth and reserving the paths. One of the majorattack against the OLSR is the Node isolation attack, also known as the Gray holedenial of service attack. The Gray hole attack exploits the vulnerabilities presentwith sharing the topological information of the network. The attackers may usethis topological information to maliciously disconnect the target nodes from theexisting network and stops rendering the communication services to the victimnode. Hence, considering the sensitivity and security concerns of the data usedin e-Health applications, these types of attacks must be detected and disabledproactively. In this work, a novel Node Authentication (NA) with OLSR is proposed. The simulation experiments illustrated that the proposed protocol has anexcellent Packet Delivery Ratio, minimal End-End delay, and minimal Packet losswhen compared to the Ad-hoc On-Demand Distance Victor (AODV) protocol andthe proposed authentication scheme was able to protect the OLSR protocol from anode isolation attack.

关键词： 5G AODV D2D IoMT OLSR security issues

Data Mining with Privacy Protection Using Precise Elliptical Curve Cryptography

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Intelligent Automation & Soft Computing 2023年第1期35卷 839-851页

作者： B.Murugeshwari D.selvaraj k.Sudharson S.Radhika Department of Computer Science and Engineering Velammal Engineering CollegeChennai600066India Department of Electronics and Communication Engineering Panimalar Engineering CollegeChennai600123India Department of Information Technology Velammal Insitutue of TechnologyChennai601204India Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai600124India

Protecting the privacy of data in the multi-cloud is a crucial *** mining is a technique that protects the privacy of individual data while mining those *** most significant task entails obtaining data from numerous remote *** algorithms can obtain sensitive information once the data is in the data *** traditional algorithms/techniques promise to provide safe data transfer,storing,and retrieving over the cloud *** strategies are primarily concerned with protecting the privacy of user *** study aims to present data mining with privacy protection(DMPP)using precise elliptic curve cryptography(PECC),which builds upon that algebraic elliptic curve *** approach enables safe data exchange by utilizing a reliable data consolidation approach entirely reliant on rewritable data concealing ***,it outperforms data mining in terms of solid privacy procedures while maintaining the quality of the *** approximation error,computational cost,anonymizing time,and data loss are considered performance *** suggested approach is practical and applicable in real-world situations according to the experimentalfindings.

关键词： Data mining cryptography privacy preserving elliptic curve information security

Novel Homomorphic Encryption for Mitigating Impersonation Attack in Fog Computing

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Intelligent Automation & Soft Computing 2023年第2期35卷 2015-2027页

Fog computing is a rapidly growing technology that aids in pipelining the possibility of mitigating breaches between the cloud and edge *** facil-itates the beneﬁts of the network edge with the maximized probability of offering interaction with the ***,the fog computing characteristics are suscep-tible to counteract the challenges of *** issues present with the Physical Layer Security(PLS)aspect in fog computing which included authentication,integrity,and conﬁdentiality has been considered as a reason for the potential issues leading to the security *** this work,the Octonion Algebra-inspired Non-Commutative Ring-based Fully Homomorphic Encryption Scheme(NCR-FHE)was proposed as a secrecy improvement technique to overcome the impersonation attack in cloud *** proposed approach was derived through the beneﬁts of Octonion algebra to facilitate the maximum security for big data-based *** major issues in the physical layer security which may potentially lead to the possible security issues were identiﬁ*** potential issues causing the impersonation attack in the Fog computing environment were identiﬁ*** proposed approach was compared with the existing encryption approaches and claimed as a robust approach to identify the impersonation attack for the fog and edge *** computation cost of the proposed NCR-FHE is identiﬁed to be signiﬁcantly reduced by 7.18%,8.64%,9.42%,and 10.36%in terms of communication overhead for varying packet sizes,when compared to the benchmarked ECDH-DH,LHPPS,BF-PHE and SHE-PABF schemes.

关键词： Fog computing physical layer security non-commutative ring-based fully homomorphic encryption impersonation attack

Advance IoT Intelligent Healthcare System for Lung Disease Classification Using Ensemble Techniques

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Computer Systems Science & Engineering 2023年第8期46卷 2141-2157页

作者： J.Prabakaran P.selvaraj Department of Networking communications Faculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia Department of Computing Technologies Faculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia

In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high storage,and computational *** this paper,an intelligent healthcare system has been proposed for the prediction and severity analysis of lung disease from chest computer tomography(CT)images of patients with pneumonia,Covid-19,tuberculosis(TB),and ***,the CT images are captured and transmitted to the fog node through IoT *** the fog node,the image gets modified into a convenient and efficient format for further *** encryption Standard(AES)algorithm serves a substantial role in IoT and fog nodes for preventing data from being accessed by other operating ***,the preprocessed image can be classified automatically in the cloud by using various transfer and ensemble learning *** different pre-trained deep learning architectures(Inception-ResNet-v2,VGG-19,ResNet-50)used transfer learning is adopted for feature *** softmax of heterogeneous base classifiers assists to make individual *** a meta-classifier,the ensemble approach is employed to obtain final optimal *** predicted image is consigned to the recurrent neural network with long short-term memory(RNN-LSTM)for severity analysis,and the patient is directed to seek therapy based on the *** proposed method achieved 98.6%accuracy,0.978 precision,0.982 recalls,and 0.974 F1-score on five class *** experimental findings reveal that the proposed framework assists medical experts with lung disease screening and provides a valuable second perspective.

关键词： Intelligent health care cloud computing fog computing ensemble learning RNN-LSTM

Depth Map Prediction of Occluded Objects Using Structure Tensor with Gain Regularization

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Intelligent Automation & Soft Computing 2023年第7期37卷 1145-1161页

作者： H.Shalma P.selvaraj Department of Computing Technologies Faculty of Engineering and TechnologySchool of ComputingSRM Institute of Science and TechnologyKattankulathurChennai603203Tamil NaduIndia

The creation of the 3D rendering model involves the prediction of an accurate depth map for the input images.A proposed approach of a modified semi-global block matching algorithm with variable window size and the gradient assessment of objects predicts the depth map.3D modeling and view synthesis algorithms could effectively handle the obtained disparity *** work uses the consistency check method to find an accurate depth map for identifying occluded *** prediction of the disparity map by semi-global block matching has used the benchmark dataset of Middlebury stereo for *** improved depth map quality within a reasonable process-ing time outperforms the other existing depth map prediction *** experimental results have shown that the proposed depth map predictioncould identify the inter-object boundaryeven with the presence ofocclusion with less detection error and *** observed that the Middlebury stereo dataset has very few images with occluded objects,which made the attainment of gain *** this gain,we have created our dataset with occlu-sion using the structured lighting *** proposed regularization term as an optimization process in the graph cut algorithm handles occlusion for different smoothing *** experimented results demonstrated that our dataset had outperformed the Tsukuba dataset regarding the percentage of occluded pixels.

关键词： Depth maps occlusion detection reconstruction refined disparity map