International Journal of Scientific Research in Science, Engineering and Technology最新文献_第4页

Enhancing Flood Impact Analysis through the Integration of Landsat and MODIS Imagery 通过整合 Landsat 和 MODIS 影像加强洪水影响分析

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-22 DOI: 10.32628/ijsrset2411257

Tran Vu Van Hoa, Thien Chi Nguyen, Tung Thanh Truong, Tuan Anh Nguyen, Hoang Bao Lam, Son Thai Dang

引用次数: 0

Roadway Inspection System 路面检测系统

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-22 DOI: 10.32628/ijsrset2411259

Aditya Patil, Aniket Kshirsagar, Suraj Lokhande, Suraj Jorwar, Prof. Anuja Garande

引用次数: 0

Risk Factors for Anaemia, Iron Deficiency, and Iron Deficiency Anaemia in Women of Reproductive Age Using Logistic Regression 利用 Logistic 回归分析育龄妇女贫血、缺铁和缺铁性贫血的风险因素

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-22 DOI: 10.32628/ijsrset2411260

Shaly Wanda Hamzah, Muhammad Nur Aidi, I Made Sumertajaya, Fitrah Ernawati

{"title":"Risk Factors for Anaemia, Iron Deficiency, and Iron Deficiency Anaemia in Women of Reproductive Age Using Logistic Regression","authors":"Shaly Wanda Hamzah, Muhammad Nur Aidi, I Made Sumertajaya, Fitrah Ernawati","doi":"10.32628/ijsrset2411260","DOIUrl":"https://doi.org/10.32628/ijsrset2411260","url":null,"abstract":"Women of reproductive age (WRA) are vulnerable to anaemia, iron deficiency (ID), or iron deficiency anaemia (IDA). To identify the factors influencing anaemia, ID, and IDA to WRA in Indonesia, logistic regression analysis was employed. This study aims to determine the prevalence of anaemia, ID, and AID among WRA, as well as to identify influencing factors and evaluate the classification results produced by Logistic Regression methods. The data used were obtained from the Research and Development Agency, Ministry of Health of Indonesia. Haemoglobin data, demographic, and socioeconomic data were derived from the Basic Health Research 2013, and ferritin (Fe) and CRP data used stored serum samples collected in 2013 and analyzed in 2016. The results of this study found that the prevalence of anaemia among WRA in Indonesia is 11%, ID 14%, and AID 9%. Significant factors influencing health conditions include BMI, marital status, family size, malaria, and ARI. Individuals with overweight or obesity have a lower chance of experiencing anaemia, ID, and IDA compared to those who are thin, while individuals who are divorced have a higher risk than those who are unmarried. Additionally, individuals affected by malaria or ARI also have a higher risk of experiencing anaemia. Consumption of animal protein and education also emerges as significant factors affecting ID conditions. Although the model using Multinomial Logistic Regression shows higher accuracy than the binary model, both still have weaknesses in identifying cases of anaemia, ID, and IDA with low sensitivity. Model evaluation indicates that despite proficiency in recognizing normal cases, they still struggle to detect cases of anaemia, ID, and IDA.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"25 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140673234","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

Growth Dynamics of Flexor Muscle Fibers in Developing Male White Leghorn Chicks 发育中雄性白羽雏鸡屈肌肌纤维的生长动态

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-21 DOI: 10.32628/ijsrset2411256

Mayalata Dimpal, Rahul Kundu

引用次数: 0

An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach 安全云端协作中的优化数据存储容错方法

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-21 DOI: 10.32628/ijsrset2411255

M. Manideepsai, U. Vineeth Goud, CH. Vinay Goud, P. Vignesh Yadav, D. Saidulu

{"title":"An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach","authors":"M. Manideepsai, U. Vineeth Goud, CH. Vinay Goud, P. Vignesh Yadav, D. Saidulu","doi":"10.32628/ijsrset2411255","DOIUrl":"https://doi.org/10.32628/ijsrset2411255","url":null,"abstract":"The rise of edge smart IoT devices has led to the development of edge storage systems (ESS) for efficient access to massive edge data. ESS can reduce the load on cloud centers and improve user experience. However, ESS still faces challenges in improving fault tolerance and efficiency. Thus, there is a need for a secure and efficient fault-tolerant storage scheme. Existing schemes have drawbacks like high edge storage overhead, difficulty in protecting edge data privacy, and low data writing performance. To address these issues, we propose a Hierarchical Cloud-Edge Collaborative Fault-Tolerant Storage (HCEFT) model. This model aims to enhance system robustness, reduce edge storage overhead, and ensure edge data privacy. We also introduce an optimization method for data writing in HCEFT, called ECWSS (Erasure Code data Writing method based on Steiner tree and SDN). This method improves the trade-off between data writing time and traffic consumption. Our scheme improves data robustness, availability, and security. Additionally, the writing optimization method reduces data write time by 13%-67% and network traffic consumption by 20%-62%, enhancing network load balance performance.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"108 46","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140678800","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

Characterization, Comparative Assessment and Antibacterial Potential of Copper(II) Soya Complexes against Staphylococcus Aureus 大豆铜(II)络合物对金黄色葡萄球菌的表征、比较评估和抗菌潜力

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-20 DOI: 10.32628/ijsrset2411253

Dr. Vandana Sukhadia

引用次数: 0

Unveiling Anomaly : Empowering Video Surveillance through Intelligent Anomaly Detection 揭示异常：通过智能异常检测增强视频监控能力

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-19 DOI: 10.32628/ijsrset2411248

Dikshendra Sarpate, Isha Tadas, Radhesh Khaire, Mokshad Antapurkar, Amisha Sonone

{"title":"Unveiling Anomaly : Empowering Video Surveillance through Intelligent Anomaly Detection","authors":"Dikshendra Sarpate, Isha Tadas, Radhesh Khaire, Mokshad Antapurkar, Amisha Sonone","doi":"10.32628/ijsrset2411248","DOIUrl":"https://doi.org/10.32628/ijsrset2411248","url":null,"abstract":"Video surveillance has become a cornerstone of security for public spaces and private property. However, the effectiveness of this approach is hampered by the limitations of manual monitoring. Human analysts face challenges such as fatigue, distraction, and the sheer volume of video data, leading to missed incidents and inefficient use of resources. This research project proposes a revolutionary solution: intelligent anomaly detection through artificial intelligence (AI). This system transcends the constraints of human observation by automatically identifying deviations from established patterns within video footage. The core concept lies in leveraging the power of AI to analyze various aspects of video data. This includes movement analysis, object recognition, and scene dynamics. Through this comprehensive approach, the system can detect anomalous events that might escape human notice – activities such as loitering, intrusions, or suspicious behavior. This project delves into the design and development of this intelligent anomaly detection system. It explores the vast potential of machine learning techniques, specifically focusing on unsupervised learning and deep learning algorithms. These algorithms play a crucial role in modeling normal behavior within video data. The system then utilizes these models to identify deviations that fall outside the established patterns. By flagging these anomalies, the system empowers security personnel to prioritize their attention on critical events. This significantly enhances overall security efficiency by allowing human analysts to focus on investigating the most relevant situations. This research project seeks to contribute significantly to the advancement of video surveillance technology. By harnessing the power of AI and machine learning, this intelligent anomaly detection system offers a promising approach to enhancing security in public spaces and private property.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140682876","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

Microstrip Patch Antenna Development at K Band for Satellite Communication 卫星通信 K 波段微带贴片天线开发

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-18 DOI: 10.32628/ijsrset2411225

R. Arivarasu, N. Ramabasi Reddy, K. Madhavi, A. Niranjan

引用次数: 0

A Review of Tobacco User and Non-user 烟草使用者和非使用者回顾

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-13 DOI: 10.32628/ijsrset2411229

Namrata. N. Nangare, Smitesh. S. Nalage

引用次数: 0

Interpretable AI Services for Enhanced Air Quality Forecasting 为增强空气质量预测提供可解释的人工智能服务

International Journal of Scientific Research in Science, Engineering and Technology Pub Date : 2024-04-13 DOI: 10.32628/ijsrset2411239

Ketan Shahapure, Samit Shivadekar, Bhrigu Bhargava

引用次数: 0