International Research Journal of Multidisciplinary Technovation最新文献

Radiology Image Data Augmentation and Image Enhancement in Respiratory Disease Infection Detection Using Machine Learning Approach 利用机器学习方法在呼吸道疾病感染检测中增强放射学图像数据和图像效果

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-03-12 DOI: 10.54392/irjmt24211

Prita Patil, Vaibhav Narawade

{"title":"Radiology Image Data Augmentation and Image Enhancement in Respiratory Disease Infection Detection Using Machine Learning Approach","authors":"Prita Patil, Vaibhav Narawade","doi":"10.54392/irjmt24211","DOIUrl":"https://doi.org/10.54392/irjmt24211","url":null,"abstract":"Medical imaging plays an important role in medical diagnosis and treatment. It is also useful in medical applications. The proposed concept's goal is to understand the importance of data balancing, data augmentation, and segmentation in the clinical field, to improve image data balancing using data augmentation and edge detection techniques, to improve radiology image preprocessing to locate regions of interest (ROI), and to construct custom-built Deep Neural Networks (DNN) in diagnosing respiratory illness using Machine Learning approaches. Images of varying quality from multiple machine types are frequently included in different datasets. This study used four datasets, three of which are online datasets from Kaggle and the fourth is real-time radiology pictures of COVID and Pneumonia-infected persons from neighboring local hospitals. We proposed RESP_DATA_BALANCE for image data balance in dataset construction, and RDD_ROI (Respiratory Disease Detection Region of Interest) algorithm, which combines improved image feature extraction technique using a GLCM and unsupervised K-means clustering for segmentation to identify the region of interest in the detection of respiratory diseases. Our suggested custom-built 28-layer Respiratory Disease Detection Deep Neural Network (RDD_DNN) is used for further training, testing, and validation. Furthermore, experimental results focus on performance characteristics using various data augmentation, edge detection, and preprocessing strategies. The experimental purpose of our research study is to aid in the classification and early diagnosis of respiratory disorders.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140250748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synergistic Analysis of Hydrothermally Synthesized PANI-GO: MnO2/MoO3 Nanocomposites for Enhanced Structural and Supercapacitor Performance 水热合成 PANI-GO：MnO2/MoO3 纳米复合材料在增强结构和超级电容器性能方面的协同分析

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-15 DOI: 10.54392/irjmt2424

K. R, Subbramaniyan P

{"title":"Synergistic Analysis of Hydrothermally Synthesized PANI-GO: MnO2/MoO3 Nanocomposites for Enhanced Structural and Supercapacitor Performance","authors":"K. R, Subbramaniyan P","doi":"10.54392/irjmt2424","DOIUrl":"https://doi.org/10.54392/irjmt2424","url":null,"abstract":"This study explores the potential of PANI-GO:MnO2/MoO3 nanocomposites as high-performance supercapacitors, addressing the increasing energy storage demands in portable electronics devices. By varying the amount of polyaniline (PANI) alongside a ternary composite of GO/MnO2/MoO3, the present study investigates their combined influence on electrochemical performance. XRD analysis confirmed the hexagonal phase with an average particle size of 19 nm, and FTIR analysis showed the functional groups associated with the title compound. FESEM images demonstrated the leaf-like structures, and the EDAX spectrum confirmed the presence of Mn and Mo elements in the as-prepared samples. Electrochemical analysis showed a maximum capacitance of 596 F/g. The unique blend of graphene, polyaniline, and ternary metal oxides in these nanocomposites holds great promise for advanced supercapacitors. The research aims to understand how different levels of polyaniline impact the overall composition, providing insights into the synergies between these components and their effects on energy storage capabilities.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synergistic Analysis of Hydrothermally Synthesized PANI-GO: MnO2/MoO3 Nanocomposites for Enhanced Structural and Supercapacitor Performance 水热合成 PANI-GO：MnO2/MoO3 纳米复合材料在增强结构和超级电容器性能方面的协同分析

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-15 DOI: 10.54392/irjmt2424

K. R, Subbramaniyan P

{"title":"Synergistic Analysis of Hydrothermally Synthesized PANI-GO: MnO2/MoO3 Nanocomposites for Enhanced Structural and Supercapacitor Performance","authors":"K. R, Subbramaniyan P","doi":"10.54392/irjmt2424","DOIUrl":"https://doi.org/10.54392/irjmt2424","url":null,"abstract":"This study explores the potential of PANI-GO:MnO2/MoO3 nanocomposites as high-performance supercapacitors, addressing the increasing energy storage demands in portable electronics devices. By varying the amount of polyaniline (PANI) alongside a ternary composite of GO/MnO2/MoO3, the present study investigates their combined influence on electrochemical performance. XRD analysis confirmed the hexagonal phase with an average particle size of 19 nm, and FTIR analysis showed the functional groups associated with the title compound. FESEM images demonstrated the leaf-like structures, and the EDAX spectrum confirmed the presence of Mn and Mo elements in the as-prepared samples. Electrochemical analysis showed a maximum capacitance of 596 F/g. The unique blend of graphene, polyaniline, and ternary metal oxides in these nanocomposites holds great promise for advanced supercapacitors. The research aims to understand how different levels of polyaniline impact the overall composition, providing insights into the synergies between these components and their effects on energy storage capabilities.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139835341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CTJIF-ICN: A Coadjuvant Trust Joint Interest Forwarding Mechanism in Information Centric Networks CTJIF-CN：信息中心网络中的辅助信任联合利益转发机制

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-10 DOI: 10.54392/irjmt2422

Krishna Delvadia, N. Dutta

{"title":"CTJIF-ICN: A Coadjuvant Trust Joint Interest Forwarding Mechanism in Information Centric Networks","authors":"Krishna Delvadia, N. Dutta","doi":"10.54392/irjmt2422","DOIUrl":"https://doi.org/10.54392/irjmt2422","url":null,"abstract":"The Information centric networks (ICN) transforms the focal point of current Internet paradigm to data centric approach from host centric approach by allowing content driven forwarding and in-network caching mechanisms. Though NDN (Named data networking) paradigm of ICN assures a secure content communication, it is vulnerable to different attacks by the malicious nodes. To minimize the hazards from compromised nodes and to improve the network security, the remaining nodes should transparently receive information about such nodes. This will restrict the forwarding strategy to exploit these malicious nodes for forwarding interest and content as well. Our protocol introduces a dynamic model for prediction of trust in order to evaluate the node trust. Proposed approach observes the historical behaviors of node and uses extended fuzzy logic rules for the prediction of future behaviors to evaluate the node’s trust value. This prediction model is incorporated within the trust based forwarding mechanism that aims to forward interest through secure and shortest path. The extensive simulation study has been carried out to analyze the protocol performance in ns-3 driven ndnSIM-2.0 simulator for performance metrics such as data discovery latency, packet delivery ratio, network overhead, detection ratio and cache hit ratio. When we integrate our trust joint forwarding strategy to state-of-the-art protocols, their performance is significantly improved up to approximately 10-35% against stated performance measures for realistic network topology.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Photocatalysis of CV Dye Under UV Light Degradation using Laboratory Prepared In(OH)3 And In2O3 By Hydrothermal Method: Nano-Matrrials For Dye Sensitive Solar Cell 利用实验室制备的水热法 In(OH)3 和 In2O3 对紫外光下降解的 CV 染料进行光催化：用于染料敏感太阳能电池的纳米材料

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-10 DOI: 10.54392/irjmt2423

M. Panigrahi, Adiraj Behera, Ratan Indu Ganguly, Radha Raman Dash

引用次数: 0

A Photocatalysis of CV Dye Under UV Light Degradation using Laboratory Prepared In(OH)3 And In2O3 By Hydrothermal Method: Nano-Matrrials For Dye Sensitive Solar Cell 利用实验室制备的水热法 In(OH)3 和 In2O3 对紫外光下降解的 CV 染料进行光催化：用于染料敏感太阳能电池的纳米材料

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-10 DOI: 10.54392/irjmt2423

M. Panigrahi, Adiraj Behera, Ratan Indu Ganguly, Radha Raman Dash

引用次数: 0

CTJIF-ICN: A Coadjuvant Trust Joint Interest Forwarding Mechanism in Information Centric Networks CTJIF-CN：信息中心网络中的辅助信任联合利益转发机制

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-10 DOI: 10.54392/irjmt2422

Krishna Delvadia, N. Dutta

{"title":"CTJIF-ICN: A Coadjuvant Trust Joint Interest Forwarding Mechanism in Information Centric Networks","authors":"Krishna Delvadia, N. Dutta","doi":"10.54392/irjmt2422","DOIUrl":"https://doi.org/10.54392/irjmt2422","url":null,"abstract":"The Information centric networks (ICN) transforms the focal point of current Internet paradigm to data centric approach from host centric approach by allowing content driven forwarding and in-network caching mechanisms. Though NDN (Named data networking) paradigm of ICN assures a secure content communication, it is vulnerable to different attacks by the malicious nodes. To minimize the hazards from compromised nodes and to improve the network security, the remaining nodes should transparently receive information about such nodes. This will restrict the forwarding strategy to exploit these malicious nodes for forwarding interest and content as well. Our protocol introduces a dynamic model for prediction of trust in order to evaluate the node trust. Proposed approach observes the historical behaviors of node and uses extended fuzzy logic rules for the prediction of future behaviors to evaluate the node’s trust value. This prediction model is incorporated within the trust based forwarding mechanism that aims to forward interest through secure and shortest path. The extensive simulation study has been carried out to analyze the protocol performance in ns-3 driven ndnSIM-2.0 simulator for performance metrics such as data discovery latency, packet delivery ratio, network overhead, detection ratio and cache hit ratio. When we integrate our trust joint forwarding strategy to state-of-the-art protocols, their performance is significantly improved up to approximately 10-35% against stated performance measures for realistic network topology.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Smart City Waste Management through LBBOA based RIAN Classification 通过基于 LBBOA 的 RIAN 分类加强智慧城市垃圾管理

International Research Journal of Multidisciplinary Technovation Pub Date : 2023-11-18 DOI: 10.54392/irjmt2365

Sankar K, Gokula Krishnan V, V. S, Kaviarasan S, Arockia Abins A

{"title":"Enhancing Smart City Waste Management through LBBOA based RIAN Classification","authors":"Sankar K, Gokula Krishnan V, V. S, Kaviarasan S, Arockia Abins A","doi":"10.54392/irjmt2365","DOIUrl":"https://doi.org/10.54392/irjmt2365","url":null,"abstract":"Effective trash management has become a top environmental priority, especially in urban areas with significant population growth where garbage output is on the rise. As cities work to manage garbage properly, innovative waste management programmes have the potential to increase effectiveness, cut costs, and improve the aesthetic appeal of public places. This article introduces SCM-RIAN, a powerful \"Smart City Management and Classification System\" built on the Internet of Things (IoT) and deep learning (DL) technologies. Convolutional neural networks are used in the garbage classification model that is implemented within this smart city management and classification framework. This system for classifying waste is intended to categorise rubbish into several classes at waste collection sites, encouraging recycling. The Rotation-Invariant Attention Network (RIAN) is a unique approach presented for the categorization process to address a prevalent problem in smart city management (SCM). A Centre Spectral Attention (CSpeA) module built within RIAN isolates spectral bands from other categories of pixels' influence, reducing redundancy. As an alternative to the conventional 3 3 convolution, to obtain rotation-invariant spectral-spatial data contained in SCM patches, the Rectified Spatial Attention (RSpaA) module is also introduced. The suggested RIAN for SCM classification is built on the integration of the CSpeA, 11 convolution, and RSpaA modules. The Ladybird Beetle Optimisation Algorithm (LBBOA) is used to optimise hyperparameters. With improved results compared to other current models, this suggested SCM-RIAN achieved 98.12% accuracy (ACC) with high sensitivity (SEN), specificity (SPEC), and kappa index (KI) using the garbage classification dataset.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computation of Groundwater Quality of Baramati with the help of Fuzzy Water Quality Index (FWQI) 利用模糊水质指数 (FWQI) 计算巴拉马提的地下水质量

International Research Journal of Multidisciplinary Technovation Pub Date : 2023-11-08 DOI: 10.54392/irjmt2364

Sarita Jibhau Wagh, Pradip M. Paithane, M. D. Sangale, Pondhe G.M

{"title":"Computation of Groundwater Quality of Baramati with the help of Fuzzy Water Quality Index (FWQI)","authors":"Sarita Jibhau Wagh, Pradip M. Paithane, M. D. Sangale, Pondhe G.M","doi":"10.54392/irjmt2364","DOIUrl":"https://doi.org/10.54392/irjmt2364","url":null,"abstract":"One of the natural resources having the latent for home, agrarian, and engineering use is surface and groundwater. Due to humanoid and certain natural reasons, the eminence of the groundwater serving Baramati City and Tehsil has deteriorated. Agriculture is using more pesticides and fertilizer, therefore this supply is being affected. Municipal water pollution can be caused by “septic boilers”, “bathe sewage”, “polluted aquatic”, “improper discarded management”, “public excretion”, “improper waste structure”, “public sewage discharges”, and “unorganized solid waste disposal”. The current study will improve the accuracy of the water quality index for areas in Baramati Tehsil that are affected by industry and drinking water supplies. The groundwater zones were created using a weighted index overlay analysis, which assigned weights based on several classes of individual water quality metrics and drinking water standards. Based on few observations, fuzzy logic offers an effective and practical tool for categorizing drinking water quality. This study's objective is to provide a fuzzy logic-based water quality indicator for basin-wide reservoirs. For a weight-based fuzzy quality index, a minimum of 6 physico-chemicals are needed.","PeriodicalId":507794,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139282481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blood Leakage Detection During Self-Dialysis 自我透析过程中的血液渗漏检测

International Research Journal of Multidisciplinary Technovation Pub Date : 2020-03-30 DOI: 10.34256/irjmt2025

Suresh Kumar M, Vanmathi V, Poornima S

引用次数: 0