International Journal of Innovative Research in Science, Engineering and Technology最新文献_第2页

Melanoma Detection by Automated Reconfiguration System Using Local Binary Pattern 基于局部二值模式的自动重构系统检测黑色素瘤

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-16 DOI: 10.59256/ijire.20230403128

N. K, M. Mettilda, A. K

引用次数: 0

Sign Language to Speech Translation 手语到语音的翻译

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-05 DOI: 10.59256/ijire.20230403127

Salman Bagwan, Juned Tamboli, Mubasir Siddiqui, Shrikant Shinde

引用次数: 0

A Comparative study of reading skills among elementary school children at Tirupati 蒂鲁帕蒂小学儿童阅读技能的比较研究

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-05 DOI: 10.59256/ijire.20230403126

Surekha Kasaram, Byula Bhavana B

引用次数: 0

A study to assess the effectiveness of structured teaching programme on knowledge regarding first aid management of selected conditions among elementary school teachers, Tirupati 一项评估小学教师在特定条件下急救管理知识的结构化教学计划有效性的研究，蒂鲁帕蒂

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-05 DOI: 10.59256/ijire.20230403125

Surekha Kasaram, Padmaja Dr.A

{"title":"A study to assess the effectiveness of structured teaching programme on knowledge regarding first aid management of selected conditions among elementary school teachers, Tirupati","authors":"Surekha Kasaram, Padmaja Dr.A","doi":"10.59256/ijire.20230403125","DOIUrl":"https://doi.org/10.59256/ijire.20230403125","url":null,"abstract":"The aim of the study to assess the effectiveness of structured teaching programme on first aid management of selected conditions among elementary school teachers at Tirupati. The objectives of the study were to assess the knowledge and knowledge on practices regarding first aid management of selected conditions among elementary school teachers, to elicit the effectiveness of structured teaching programme on knowledge and knowledge on practices regarding first aid management of selected conditions among elementary school teachers and to associate the relationship between selected demographic variables and knowledge and knowledge on practices regarding first aid management of selected conditions among elementary school teachers.A Pre- experimental design one group pre-test, post-test design was adopted. Hundred elementary school teachers were selected by using convenient sampling technique at Elementary schools, Tirupati. To assess the knowledge, knowledge on practices regarding first aid management of selected conditions by using the structured questionnaire. Structured teaching programme on first aid management of selected conditions were conducted. After seven days of the structured teaching programme the post-test were conducted by using the same pre-test questionnaire.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75452368","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

Bridge Crack Identification and Monitoring Using IoT 基于物联网的桥梁裂缝识别与监测

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-04 DOI: 10.59256/ijire.20230403124

Vijayakumar S, P. S, P. P, Sundaresan E

{"title":"Bridge Crack Identification and Monitoring Using IoT","authors":"Vijayakumar S, P. S, P. P, Sundaresan E","doi":"10.59256/ijire.20230403124","DOIUrl":"https://doi.org/10.59256/ijire.20230403124","url":null,"abstract":"The appearance and progression of cracks in a concrete bridge will negatively impact how safely people can use bridge structures. This paper develops an image pre-processing scheme combining multiple adaptive filtering and contrast enhancement based on the image processing technology of concrete crack, which can improve the removal effect of background noise and obtain the characteristic in information of tiny cracks. This approach can better meet the crack detection requirement. Then, in order to retrieve the information about the crack edge and increase the positioning accuracy of the crack border, we developed a local adaptive technique of Otsu threshold segmentation and merged it with a modified Sobel operator for removing isolated noise spots. The target crack is also recognized, classed, and the feature data is calculated in accordance with the image feature of the bridge crack edge. The case analysis findings demonstrate that the detection algorithm's data processing accuracy can satisfy the actual engineering criteria for concrete bridge crack detection by processing data to a precision of 0.02mm. Key Word: Multiple adaptive filtering, Contrast enhancement, Background noise, Local adaptive filtering, Otsu threshold segmentation.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"151 11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83155037","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

Water Pollution Monitoring Using RC Boat 使用RC船监测水污染

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-02 DOI: 10.59256/ijire.20230403123

A. K., Mahabubadsha A, G. A., J. P, J. K

{"title":"Water Pollution Monitoring Using RC Boat","authors":"A. K., Mahabubadsha A, G. A., J. P, J. K","doi":"10.59256/ijire.20230403123","DOIUrl":"https://doi.org/10.59256/ijire.20230403123","url":null,"abstract":"Water is considered as a basic need for human in their daily life. It is needed in different situations including, at home, in agriculture, in industry and manufactures, in hospital etc. To survive in a good life the quality of water should be monitored on highly level frequently and efficiently. Water pollution can be caused by different factors including large number of people who move from rural environment to urban (as long as the city get more rising number of people the waste management become an issue therefore these can provoke pollution in environment), more industries that provide different kind of waste, erosion etc. Unsafe water could lead to different diseases such as diarrhea, cholera, cancer. Generally, the quality of fresh water is described by chemical, biological and physical content and methods used in monitoring the quality of water usually were Water Sampling, Test Sampling and Investigative Analysis. But these methods are performed by the scientists in laboratories, and are found that they are slow. In this project we proposed an affordable system design for monitoring the quality of waterremotely in river by using technology known as Internet of Things (IOT) and this technology provides the required results in real time. A prototype was designed and developed with the use of hardware component together with the software program for implementing this project. ESP32 microcontroller is used in this project data from the ph sensor, Turbidity sensor and Temperature sensor were directly send to the thingspeaks server for further investigation.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73764976","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

Software Defined Radio: A Basic Hardware Realization of SDR Receiver 软件无线电:SDR接收机的基本硬件实现

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-06-01 DOI: 10.59256/ijire.20230403122

Pranay Prashant Vaidya, J. Waykule, Kirtiraj Sardesai, Apurva Patil

引用次数: 0

Chemical Risk in Hospitals: An Overview of Monitoring Strategies and International Regulatory Practical Concerns 医院化学品风险:监测策略概述和国际监管实践问题

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-31 DOI: 10.59256/ijire.20230403120

Soumen Jana, Debarati Chakraborty

引用次数: 0

Diabetes Prediction Using Machine Learning 利用机器学习预测糖尿病

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-31 DOI: 10.59256/ijire.20230403121

Kalunge V.V, Kalpesh Sonawane, Rohan Bhonsle, Saurav More, Nikita Bhosle

{"title":"Diabetes Prediction Using Machine Learning","authors":"Kalunge V.V, Kalpesh Sonawane, Rohan Bhonsle, Saurav More, Nikita Bhosle","doi":"10.59256/ijire.20230403121","DOIUrl":"https://doi.org/10.59256/ijire.20230403121","url":null,"abstract":"Chronic diseases like diabetes have the potential to wreck the world's health care system. According to the International Diabetes Federation, there are 382 million diabetics worldwide. By 2035, this will increase to 592 million. Diabetes is a disease characterised by high blood glucose levels. The signs of this raised blood sugar level include increased thirst, appetite, and frequency of urinating. Diabetes is a significant contributing factor to heart failure, stroke, kidney failure, amputations, blindness, and kidney failure. When we eat, our bodies turn the food we consume into sugars like glucose. Then, we anticipate insulin to be released from our pancreas. Insulin functions as a key to unlock our cells, allowing glucose to enter and be used as fuel by us. However, in diabetes, this mechanism does not work. The most common types of diabetes are type 1 and type 2, but there are others, including gestational diabetes, which develops during pregnancy. Machine learning is a new area in data science that investigates how machines learn from experience. The purpose of this work is to develop a system that, by combining the findings of different machine learning algorithms, can more correctly identify early diabetes in a patient. Some of the approaches used include Logistic Regression, Random Forest, Support Vector Machine, and the Nave Bayes Algorithm. The accuracy of each algorithm is computed alongside.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89464484","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: 35

Sentiment Manifestation of Kannada Tweets 卡纳达语推文的情感表现

International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-30 DOI: 10.15680/ijirset.2023.1205073

S. B, Adithya S Nair, Anirudh D Shasthry, Atishay Sg, Disha R

{"title":"Sentiment Manifestation of Kannada Tweets","authors":"S. B, Adithya S Nair, Anirudh D Shasthry, Atishay Sg, Disha R","doi":"10.15680/ijirset.2023.1205073","DOIUrl":"https://doi.org/10.15680/ijirset.2023.1205073","url":null,"abstract":"In the current world scenario, Internet has become a major platform for online learning, exchanging ideas and sharing opinions. Social networking sites like Twitter, Facebook, Instagram are rapidly gaining popularity as they allow people to share and express their views about topics, have discussion with different communities, or post messages across the world. The main goal of sentiment analysis is to detect and analyse attitude, opinions or sentiments in the text. Sentiment analysis has reached its popularity by extracting knowledge from huge amount data present online. The Process of analysis includes selecting features and opinion which is a challenging task in languages other than English. In this project, we have targeted one of the most promising and widely used social media platform- Twitter where opinions are shared as “Tweets”. We have specifically chosen the tweets made in Kannada and analyse the sentiment of those tweets. Kannada is a Dravidian language spoken majorly in the south Indian state of Karnataka, with minorities in all neighboring states. Emotion analysis is the method of defining and evaluating the emotions conveyed in textual data. Emotion detection and classification are straightforward tasks that can be completed based on the emotions conveyed in the text, such as fear, rage, happiness, sorrow, affection, motivation, or neutral.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84525798","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