International Research Journal of Multidisciplinary Technovation最新文献_第2页

IoT-Enabled Flood Monitoring System for Enhanced Dam Surveillance and Risk Mitigation 物联网洪水监测系统用于加强大坝监测和降低风险

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-05-13 DOI: 10.54392/irjmt24311

Thirumarai Selvi C, Sankara Subbramanian R.S, Muthu Krishnan M, Gnana Priya P

{"title":"IoT-Enabled Flood Monitoring System for Enhanced Dam Surveillance and Risk Mitigation","authors":"Thirumarai Selvi C, Sankara Subbramanian R.S, Muthu Krishnan M, Gnana Priya P","doi":"10.54392/irjmt24311","DOIUrl":"https://doi.org/10.54392/irjmt24311","url":null,"abstract":"According to the Indian scenario, the majority of reservoirs for holding water are operated independently, which is problematic when there are crises (abnormal inflow, cloudy conditions), which causes the surrounding communities and agricultural areas to be submerged those aquifers. Due to the vast geographic region and depth, it is challenging to manually measure the essential reservoir life metrics. Therefore, this research work suggests a cutting-edge system of reservoir management that includes sensors that are appropriate for measuring variables such as pressure, water level, outflow velocity, inflow velocity, tilt, vibration, etc. The Arduino Uno integrates all of the sensors, and Microsoft Power BI receives the data in real time, where each parameter is shown in an appropriate format for visualization. In case of an emergency water level rise, the alarm is set off. The procedure begins with the collection of data from sensors and concludes with the presentation of that data on a dashboard in a control room situated in a distant place that links to a website where the relevant information can be seen by visitors.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"100 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140984191","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

Exploring Zinc Vanadate/Cobalt Oxide (Zn3(VO4)2/CoO) Nano Hybrid Composites as Supercapacitors for Sustainable Energy Storage Applications 探索将钒酸锌/氧化钴（Zn3(VO4)2/CoO）纳米杂化复合材料用作可持续储能应用的超级电容器

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-05-09 DOI: 10.54392/irjmt24310

Gowtham M, C. Sivakumar, N. Chandrasekar, Balachandran S, S. N.

{"title":"Exploring Zinc Vanadate/Cobalt Oxide (Zn3(VO4)2/CoO) Nano Hybrid Composites as Supercapacitors for Sustainable Energy Storage Applications","authors":"Gowtham M, C. Sivakumar, N. Chandrasekar, Balachandran S, S. N.","doi":"10.54392/irjmt24310","DOIUrl":"https://doi.org/10.54392/irjmt24310","url":null,"abstract":"A hybrid nanocomposite of zinc vanadate/cobalt oxide (Zn3(VO4)2/CoO at ratios of 90/10, 80/20, 50/50, and 20/80) was obtained using a simple co-precipitation technique, then calcinated for 4 hrs at 400°C. The surface morphological, vibrational, and structural characteristics of the synthesized hybrid nanocomposites were examined. According to the structural study, orthorhombic Zn3(VO4)2 and cubic crystal systems of CoO with space groups Fm-3m were formed. The functional groups of Zinc Vanadate/Cobalt Oxide were examined using FTIR spectroscopy. A scanning electron microscopy (SEM) study reveals the nanosheets structures with the size of 200 nm. The chemical composition and formation of the Zn3(VO4)2/CoO composites were confirmed using X-ray photoelectron spectroscopy (XPS). The electrochemical performance of the hybrid nanocomposites was assessed through CV, GCD and impedance analysis. Among the nanocomposites, Zn3(VO4)2/CoO 80/20 exhibited a high specific capacitance value of 564.36 Fg-1 and retaining 97% of their total capacitance even after 3000 cycles.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140994448","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 Novel Approach for Surveillance Compression using Neural Network Technique 利用神经网络技术进行监控压缩的新方法

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-04-23 DOI: 10.54392/irjmt2436

Nikita Mohod, Prateek Agrawal, Vishu Madaan

{"title":"A Novel Approach for Surveillance Compression using Neural Network Technique","authors":"Nikita Mohod, Prateek Agrawal, Vishu Madaan","doi":"10.54392/irjmt2436","DOIUrl":"https://doi.org/10.54392/irjmt2436","url":null,"abstract":"The integration of closed-circuit television (CCTV) monitoring is crucial in the field of video processing, which provides an efficient method for comprehensive surveillance. However, a key challenge associated with this practice is its substantial demand for storage space. Typically, surveillance footage is stored in hard disk drives, and due to limited storage spaces, it is deleted after some time. To address this issue, an innovative method for compressing CCTV video, named object detection-based surveillance compression (ODSC), is introduced. Our ODSC model is divided into two steps: -i) depending upon the objects in the video, determine the significant and non-significant frames of surveillance video using the neural network approach YOLOv5s & YOLOv7-tiny and Yolov8s ii) construct the video of significant frames. Following a comprehensive analysis of the experimental outcomes, it is noted that YOLOv8s stands out with a remarkable detection accuracy of 99.7% on the COCO dataset. Our ODSC approach is reducing the storage space greatly and achieving an average compression ratio of up to 96.31% using YOLOv8s, which surpasses the existing state-of-the-art methods.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140667881","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

Enhanced Classification of Imbalanced Medical Datasets using Hybrid Data-Level, Cost-Sensitive and Ensemble Methods 使用混合数据级、成本敏感和集合方法增强不平衡医学数据集的分类能力

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-04-22 DOI: 10.54392/irjmt2435

Ayushi Gupta, Shikha Gupta

{"title":"Enhanced Classification of Imbalanced Medical Datasets using Hybrid Data-Level, Cost-Sensitive and Ensemble Methods","authors":"Ayushi Gupta, Shikha Gupta","doi":"10.54392/irjmt2435","DOIUrl":"https://doi.org/10.54392/irjmt2435","url":null,"abstract":"Addressing the class imbalance in classification problems is particularly challenging, especially in the context of medical datasets where misclassifying minority class samples can have significant repercussions. This study is dedicated to mitigating class imbalance in medical datasets by employing a hybrid approach that combines data-level, cost-sensitive, and ensemble methods. Through an assessment of the performance, measured by AUC-ROC values, Sensitivity, F1-Score, and G-Mean of 20 data-level and four cost-sensitive models on seventeen medical datasets - 12 small and five large, a hybridized model, SMOTE-RF-CS-LR has been devised. This model integrates the Synthetic Minority Oversampling Technique (SMOTE), the ensemble classifier Random Forest (RF), and the Cost-Sensitive Logistic Regression (CS-LR). Upon testing the hybridized model on diverse imbalanced ratios, it demonstrated remarkable performance, achieving outstanding performance values on the majority of the datasets. Further examination of the model's training duration and time complexity revealed its efficiency, taking less than a second to train on each small dataset. Consequently, the proposed hybridized model not only proves to be time-efficient but also exhibits robust capabilities in handling class imbalance, yielding outstanding classification results in the context of medical datasets.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"45 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140677540","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

BCSDNCC: A Secure Blockchain SDN framework for IoT and Cloud Computing BCSDNCC：用于物联网和云计算的安全区块链 SDN 框架

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-04-16 DOI: 10.54392/irjmt2433

Sravan Kumar V, Madhu Kumar V, Chandu Naik Azmea, Karthik Kumar Vaigandla

{"title":"BCSDNCC: A Secure Blockchain SDN framework for IoT and Cloud Computing","authors":"Sravan Kumar V, Madhu Kumar V, Chandu Naik Azmea, Karthik Kumar Vaigandla","doi":"10.54392/irjmt2433","DOIUrl":"https://doi.org/10.54392/irjmt2433","url":null,"abstract":"Rapid progress can be observed in the field of computer network technologies. Blockchain technology(BCT) presents a potentially viable alternative for effectively mitigating performance and security issues encountered in distributed systems. Recent studies have focused on exploring a number of exciting new technologies, including BlockChain (BC), Software-Defined Networking (SDN), and the Internet of Things (IoT). Various technologies offer data integrity and secrecy. One such technology that has been utilized for a number of years is cloud computing (CC). Cloud architecture facilitates the flow of confidential information, enabling customers to access remote resources. CC is also accompanied with notable security dangers, concerns, and challenges. In order to tackle these difficulties, we suggest integrating BC and SDN into a CC framework designed for the IoT. The fundamental flexibility and centralized capabilities of SDN facilitate network management, facilitate network abstraction, simplify network evolution, and possess the capacity to effectively handle the IoT network. The utilization of BCT is widely acknowledged as a means to ensure robust security inside distributed SDN (DSDN) and IoT networks, hence enhancing the efficacy of the detection and mitigation procedures.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"155 6‐7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698663","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

An Intelligent Computer Aided Diagnosis System for Classification of Ovarian Masses using Machine Learning Approach 利用机器学习方法对卵巢肿块进行分类的智能计算机辅助诊断系统

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-04-16 DOI: 10.54392/irjmt2434

Smital D. Patil, Pramod J. Deore, Vaishali Bhagwat Patil

{"title":"An Intelligent Computer Aided Diagnosis System for Classification of Ovarian Masses using Machine Learning Approach","authors":"Smital D. Patil, Pramod J. Deore, Vaishali Bhagwat Patil","doi":"10.54392/irjmt2434","DOIUrl":"https://doi.org/10.54392/irjmt2434","url":null,"abstract":"Ovarian cancer, a difficult and often asymptomatic malignancy, remains a substantial global health concern in women. An ovary is a female reproductive organ, which lies on each side of the uterus and used to store eggs. Computer-aided diagnosis (CAD) is an approach that involves using computer algorithms and machine learning techniques to assist medical professionals in diagnosing ovarian malignancies, benign tumors or Poly-cystic ovaries (PCOS). The need for models that can effectively predict benign ovarian tumors and ovarian cancer has led to the use of machine learning techniques. Our research objective is to propose a machine learning-based system for accurate and early ovarian mass detection utilizing novel annotated ovarian masses. We have used an actual patient database whose input features were extracted from 187 transvaginal ultrasound images from database. The input image is preprocessed using the Block Matching 3D filter. The process involves employing binary and watershed segmentation techniques, followed by the integration of Gabor, Gray-Level Co-Occurrence Matrix (GLCM), Tamura, and edge feature extraction methods. K-Nearest Neighbors (KNN) and Random Forest (RF) are two classifiers used for classification. Based on our results, we are able to demonstrate that binary segmentation with RF classifiers is more accurate (above 86%) than KNN classifiers (under 84%).","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698826","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

Green Synthesis of Selenium Nanoparticles: Characterization and Therapeutic Applications in Microbial and Cancer Treatments 硒纳米粒子的绿色合成：微生物和癌症治疗中的表征和治疗应用

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-04-15 DOI: 10.54392/irjmt2432

Yasodha S, Vickram A.S, R. S

{"title":"Green Synthesis of Selenium Nanoparticles: Characterization and Therapeutic Applications in Microbial and Cancer Treatments","authors":"Yasodha S, Vickram A.S, R. S","doi":"10.54392/irjmt2432","DOIUrl":"https://doi.org/10.54392/irjmt2432","url":null,"abstract":"Selenium is one of these micronutrients that are essential for animals, plants and microorganisms to remain functional. This review is about the green synthesis of selenium nanoparticles and its application in microbial and cancer therapies. Our hypothesis was that Se NPs produced using plant extracts might offer the biocompatibility and environmental friendliness advantages, and hence be a new prospect for medical applications. To test our hypothesis, we conducted a comprehensive analysis of recent literature, exploring various green synthesis conditions and processes for Se NPs. Various characterisation techniques such as spectroscopy, microscopy and physicochemistry were discussed in order to provide insight into the formation and function of green-synthesised Se NPs. Our findings show that Se NPs produced by green chemistry methods have good properties such as uniform size, shape and stability as detailed examples from recent studies reveal. Furthermore, we discussed the therapeutic and theranostic applications of Se NPs produced in this manner: their potential in antimicrobial and anticancer treatments. Through illustrations of cases where Se NPs inhibit microbial growth and cause apoptosis in cancer cells, the practical significance of our findings was underscored. In summary, our review affirms that using green-mediated synthesis Se NPs improves their biocompatibility and therapeutic efficacy, thus opening up new realms for their application in medical research.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"43 s7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700272","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

Mitigating Frame Cracks in Off-Highway Vehicle: A Combined Approach of Finite Element Analysis and IoT-based Chassis Health Monitoring System 减轻非公路车辆的车架裂缝：有限元分析和基于物联网的底盘健康监测系统的组合方法

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-04-05 DOI: 10.54392/irjmt2431

Raj vigneshwar R, Rohith S.M, Ravi Shankar K, Mahi Kaarthik G, Shanthi P

引用次数: 0

Transforming E-Waste Management: Challenges and Opportunities 转变电子废物管理：挑战与机遇

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-23 DOI: 10.54392/irjmt2429

Avishek Khanal, Pasang Sherpa, Prakriti Chataut, A. Khanal, Giri Suja

{"title":"Transforming E-Waste Management: Challenges and Opportunities","authors":"Avishek Khanal, Pasang Sherpa, Prakriti Chataut, A. Khanal, Giri Suja","doi":"10.54392/irjmt2429","DOIUrl":"https://doi.org/10.54392/irjmt2429","url":null,"abstract":"The production of electronic waste (e-waste) has reached alarming levels globally, posing significant environmental, economic, and health risks. This review paper comprehensively analyzes the challenges, impacts, and potential solutions associated with e-waste management in developing nations. It highlights the urgent need for proper regulations, infrastructure development, and public awareness to address the growing problem of e-waste. The paper identifies gaps in current research, such as the lack of concrete recommendations and practical solutions, and aims to provide a foundation for future studies to propose strategies for improving e-waste management practices. The findings emphasize the environmental effects of e-waste and the negative consequences on disadvantaged communities, particularly in underdeveloped regions. Furthermore, the review highlights the importance of transitioning to a circular economy and the economic opportunities presented by e-waste, which contains valuable metals that can be recovered and recycled. The paper calls for the formulation of specific policies focusing on the 3Rs (Reduction, Reuse, and Recycle) and the implementation of provisions such as pollution taxes to reduce e-waste and promote responsible consumption. By addressing these challenges and offering sustainable solutions, effective e-waste management can mitigate environmental risks, protect human health, and contribute to a circular economy.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"14 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140436058","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 Brief Analysis of The Production of Building Materials Utilizing Waste-Based Reinforcements and Recycled Textiles 简要分析利用废料加固材料和再生纺织品生产建筑材料的情况

International Research Journal of Multidisciplinary Technovation Pub Date : 2024-02-23 DOI: 10.54392/irjmt24210

V. G, J. Chohan, Rupa B, Priyankka A.L, Thirunavukarasu P, Abinaya M, Jaswanth V, Matcha Doondi Venkata Kodanda Sai Anvesh

{"title":"A Brief Analysis of The Production of Building Materials Utilizing Waste-Based Reinforcements and Recycled Textiles","authors":"V. G, J. Chohan, Rupa B, Priyankka A.L, Thirunavukarasu P, Abinaya M, Jaswanth V, Matcha Doondi Venkata Kodanda Sai Anvesh","doi":"10.54392/irjmt24210","DOIUrl":"https://doi.org/10.54392/irjmt24210","url":null,"abstract":"The utilization of composite materials in construction has recently exerted a significant impact on society, particularly concerning ecological responsibility and environmental considerations. On a daily basis, proposals advocating the use of emerging materials crafted from discarded or repurposed items are put forth to transcend the limitations posed by conventional resources. One notable aspect of this movement revolves around textile components, encompassing fibres such as wool, cotton, cannabis, and flax. Over the past decade, there has been a heightened focus on worn clothing, as it represents an unprocessed product that holds both commercial viability and ecological benefits. Approximately 1.5 percent of the global waste generated daily comprises textile scraps, with blue jeans, crafted from cotton, standing out as the most prevalent type of apparel worldwide. Textile scraps find new life through recycling, serving various purposes such as the creation of electrical wires, the production of pulverized substances for temperature and acoustic insulation materials, and the incorporation as filler or reinforcement in concrete construction. This paper delves into multiple themes, covering (i) the adverse environmental impacts stemming from the extensive use of clothing; (ii) the recycling and reclamation of textile waste; and (iii) the utilization of waste and reclaimed materials from textiles as building components.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"23 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140435377","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