International Journal of Innovative Research in Science, Engineering and Technology最新文献

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Smart Brain Tumor Prediction System 智能脑肿瘤预测系统
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-28 DOI: 10.59256/ijire.20230403119
Vishwas Kalunge, Ashish Gaddhane, Ansari Abutalha, Aakash Pawar, Ibrahimkhan Pathan, Jayesh Bhalsing
{"title":"Smart Brain Tumor Prediction System","authors":"Vishwas Kalunge, Ashish Gaddhane, Ansari Abutalha, Aakash Pawar, Ibrahimkhan Pathan, Jayesh Bhalsing","doi":"10.59256/ijire.20230403119","DOIUrl":"https://doi.org/10.59256/ijire.20230403119","url":null,"abstract":"Brain is the regulatory unit in human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem solving, etc. The main reason for brain tumor is the abandoned progress of brain cells. Many health organizations have recognized brain tumor as the second foremost dispute that causes many human deaths all around the world. Identification of brain tumor at a premature stage offers opportunity of effective medical treatment. Use of Magnetic Resonance Imaging images have been recognized as more detailed and more consistent images when compared to Computed Tomography images. In this project we are predicting the brain tumor using machine learning algorithms. there are various techniques to detect brain tumor or neoplasms. The most competent and effective algorithm that we will be using in this project is CNN (Convolutional Neural Network).It is a Deep Learning Algorithm that is Used for Image Processing Starting with Pre-processing brain images then, segmenting them, feature extraction of unwanted noisy and blurry part, clustering and detection of the tumor are the methodologies of our Project. Key Word: Brain Tumor Prediction, MRI Images, CNN, Image Processing and Deep Learning.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75524545","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
NFTKART - A NFT Market place NFTKART -一个NFT市场
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-27 DOI: 10.59256/ijire.20230403118
Aman Sharma, Ajay Sahani, Rahul Singh, Sachin Maddhesiya
{"title":"NFTKART - A NFT Market place","authors":"Aman Sharma, Ajay Sahani, Rahul Singh, Sachin Maddhesiya","doi":"10.59256/ijire.20230403118","DOIUrl":"https://doi.org/10.59256/ijire.20230403118","url":null,"abstract":"A non-fungible token (NFT) is a new kind of blockchain-based token that is unique and indivisible. They were first introduced in late 2017. Fungible tokens have pioneered new use cases such as initial coin offerings, but the value of his NFTs as a component is still unknown. This study fills a gap in theoretical and practical knowledge by demonstrating the effectiveness of NFTs in the event ticketing arena. Using a rigorous design science research approach, we design, build, and extensively evaluate a prototype event ticket system based on NFTs. As a result, we demonstrate how NFTs can be used to tokenize digital products, reduce fraud, and increase control over secondary market transactions. We also provide generalizable information on the benefits and challenges of NFTs and their implications for researchers and practitioners. Key Word :NFTs, Blockchain, Polygon Testnet, Hardhat, Ethereum, NextJS, IPFS","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74365435","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
AI & ML Powered Autonomous Drone System AI和ML驱动的自主无人机系统
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-25 DOI: 10.59256/ijire.20230403116
Ramprasad Kulkarni, Omkar Patil, Viraj Gavhane, Shrikant Mane, Nitin Zinzurke
{"title":"AI & ML Powered Autonomous Drone System","authors":"Ramprasad Kulkarni, Omkar Patil, Viraj Gavhane, Shrikant Mane, Nitin Zinzurke","doi":"10.59256/ijire.20230403116","DOIUrl":"https://doi.org/10.59256/ijire.20230403116","url":null,"abstract":"The use of drone technology is growing in popularity and has many different industrial uses. Drones are used in agriculture for pesticide and fertilizer application, crop monitoring, and mapping. Drones can be used in the building sector to check job sites and track development. In the movie industry, drones are also utilized for aerial photography and in search and rescue efforts to reach inaccessible places. In general, drone technology has the potential to revolutionize a variety of industries and offer fresh approaches to problems that were previously challenging to solve. Our idea is to develop AI ML based autonomous drone system that can be deployed in many areas for multiple applications such as surveillance, warehouse management etc. The layout includes a PI-CAM V2 camera on a quadcopter using GPS and system powered by Robot Operating System, Open CV and other technologies that gives ability to drone to fly without need of pilot autonomously. Key Word: Multipurpose, Robot Operating System, Simulation, Surveillance, Tracking, Quadcopter, OpenCV, Machine Learning, Object Detection.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86087694","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
Tinker Hunt 丁克·亨特
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-25 DOI: 10.59256/ijire.20230403117
Shubham Gulia, Anshika Agrawal, Harsh Jain, Dr. Ankita Gupta
{"title":"Tinker Hunt","authors":"Shubham Gulia, Anshika Agrawal, Harsh Jain, Dr. Ankita Gupta","doi":"10.59256/ijire.20230403117","DOIUrl":"https://doi.org/10.59256/ijire.20230403117","url":null,"abstract":"With tech taking over most of the life process in recent times, primary education still lacks interactive processes using technology in the process of “Learning by Doing”. Most of the Ed. techs offer visual learning with no or near-to-zero input by children. Tinker Hunt can be a possible and one of its kind of interactive learning application used to tackle the same. A rough sketching input by children can yield results over the internet in the form of pictures, detailed information, etc. Tinker Hunt is created using Google’s QuickDraw Dataset, using hundreds of sketch patterns for multiple categories of icon-level doodles, collected from hundreds of individuals that are recognized by CNN trained model. Also, the app is tested for high accuracy in sketch recognition and categorization. Key Word: Machine Learning; QuickDraw Dataset; Interactive Learning; Convolutional Neural Network; Artificial Neural Network","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"223 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80004261","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
Digital Healthcare Application 数字医疗保健应用
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-24 DOI: 10.59256/ijire.20230403114
Aakarshika Verma, Ananya Singh, Eshan Srivastava, Ishika Shukla
{"title":"Digital Healthcare Application","authors":"Aakarshika Verma, Ananya Singh, Eshan Srivastava, Ishika Shukla","doi":"10.59256/ijire.20230403114","DOIUrl":"https://doi.org/10.59256/ijire.20230403114","url":null,"abstract":"The population of the world is multiplying with each coming year and so are the diseases and health issues. There is a rise in the need for blood as the population grows. There are many potential blood donors thanks to the world's expanding population. Blood banks play an important role in the process of collecting blood and managing blood stocks, approving blood requests, updating donations, and updating available blood types. The use of digital healthcare software makes it easier for patients and healthcare professionals to communicate with one another. With the help of this function, medical professionals such as doctors and therapists can interact intimately with their patients and provide them with very individualized health information. The software system is an online healthcare management system that helps in managing various blood banks and healthcare operations effectively. The project comprises a central repository with a variety of blood deposits and related information. These particulars include blood type, storage location, and storage date. These specifics aid in preserving and keeping an eye on the blood deposits. The project is an online system that enables users to determine whether the blood bank has the required blood deposits for a specific group. Moreover, the system also has added features such as patient name and contacts, blood booking, and even use for certain blood groups provided in case of emergency. Also, the project has various other health care facilities like providing contact of hospitals with dialysis services, booking blood test schedules online scheduling of appointments, ambulance services, and ventilator services. Key Word: Flutter, SQL, Languages, Database","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90275566","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
Design of Grey Water Treatment Unit and Investigation of the Treatment Process in a Lab scale Reactor 中水处理装置设计及实验室反应器处理工艺研究
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-24 DOI: 10.59256/ijire.20230403115
Jainul Harrish S, Praveen V, Tamizh A.S., Keerthivasan D
{"title":"Design of Grey Water Treatment Unit and Investigation of the Treatment Process in a Lab scale Reactor","authors":"Jainul Harrish S, Praveen V, Tamizh A.S., Keerthivasan D","doi":"10.59256/ijire.20230403115","DOIUrl":"https://doi.org/10.59256/ijire.20230403115","url":null,"abstract":"In this review, we assess the presentation of a lab-scale filtration framework for grey water treatment and reuse involving sand and granular enacted carbon as channel media. Utilizing a lab, Physic-synthetic and microbiological still up in the air. The treatment proficiency examination is made between lab-scale filtration frameworks that utilization rock + sand and rock + Rice husk + Sand utilizing pre-filtration and post-filtration mean qualities at various water powered maintenance times (HRT). Treated example were gathered at 2 hours discontinuous time. Key Word: Grey water, Filtration process, Absorbent.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91194042","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
Relationship between GDP & Inflation in India and China 印度和中国的GDP和通胀之间的关系
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-23 DOI: 10.59256/ijire.20230403113
K. .
{"title":"Relationship between GDP & Inflation in India and China","authors":"K. .","doi":"10.59256/ijire.20230403113","DOIUrl":"https://doi.org/10.59256/ijire.20230403113","url":null,"abstract":"This paper explores the relation between inflation and Gross Domestic Product (GDP) in India and China during the time period from 1991 to 2021. The study analyzes time-series data from the World Development Indicators database and employs Autoregressive distributed Lag model (ARDL) and error correction models to examine the short-term and long-term dynamics. The research uses the Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) tests to check for stationarity in the variables (including GDP, GCF, Inflation, Male and Female labor force participation, and FDI). Bounds F and T tests are used to check for cointegration, and a Granger causality test is conducted to identify any causal relationships between the variables. The findings reveal that there is a positive short-term relationship between GDP and inflation in India, whereas in China, there is a positive short-term and negative long-term relationship between GDP and Inflation. Additionally, the study reveals that there is no causal relationship between GDP and inflation in India, while in China, the causality runs unidirectionally from GDP to inflation. Policymakers in India may need to adopt measures that balance the need for economic expansion with the need to maintain inflation within a manageable range to ensure sustainable economic growth. In China policymakers may need to focus on long-term strategies to manage inflation and maintain sustainable economic growth at the same time prioritizing strategies that promote economic growth as a means of managing inflation.. Key Word: Inflation; GDP; India; China; ARDL","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"325 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89235024","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
Speech to Sign Language Converter & Vice Versa Using Machine Learning 语音到手语的转换,反之亦然,使用机器学习
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-22 DOI: 10.59256/ijire.20230403112
Khushi Sahu, Kirti Mishra, M. Rai
{"title":"Speech to Sign Language Converter & Vice Versa Using Machine Learning","authors":"Khushi Sahu, Kirti Mishra, M. Rai","doi":"10.59256/ijire.20230403112","DOIUrl":"https://doi.org/10.59256/ijire.20230403112","url":null,"abstract":"Taking into account the complications faced by pupils of speech and hearing impaired, we would like to present a tool that connects the gap in communication and facilitate better interaction. In situations where a spoken person is untrained with sign language, the need is unavoidable for a sign language interpreter in order to setup an interchange of expounding. We propose a system that allows two-way conversation between deaf people and people with other voices. In this paper, we present an efficient prototype in two stages. In the early stages, sign language gestures are fed into the system in real time using the device's computer vision capabilities. These gestures are then recognized using our Deep Neural Network while the fine-tuned hand detection with edge detection algorithm interprets it as text as well as audio. The second stage is to convert the audio to text and optionally display the relevant hand gestures for the same The system can recognize more than 300 sign words in Indian Sign Language. .Key Word: Concurrent Neural Networks, Natural Language Processing, Machine Learning, Sign Language Converter, Computer Vision","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89502413","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
Fault Detection System in an Optical Fiber Using NODEMCU 基于NODEMCU的光纤故障检测系统
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-21 DOI: 10.59256/ijire.20230403111
M. V, Abilash U, G. M, Karthik L, I. M
{"title":"Fault Detection System in an Optical Fiber Using NODEMCU","authors":"M. V, Abilash U, G. M, Karthik L, I. M","doi":"10.59256/ijire.20230403111","DOIUrl":"https://doi.org/10.59256/ijire.20230403111","url":null,"abstract":"The project aims to develop a cost-effective and efficient solution for detecting fiber optic faults by designing a hardware system that can detect abrupt changes in the power of the optical line. The system will alert network administrators of fault occurrence, reducing downtime and minimizing disruption to users.The project also seeks to demonstrate the use of ESP8266 boards for data processing and communication, making it suitable for a wide range of industries and use cases. Additionally, the project aims to integrate with Ubidots, a cloud- based IoT platform, to provide a scalable platform for customization and expansion of fault detection and management systems.The overall objective of the project is to provide a low-cost and easily customizable solution for fiber optic fault detection while showcasing the capabilities of ESP8266 boards for IoT applications. Key Word: NodeMCU; LDR sensor; LCD display; I2C module; Communication","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90077519","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
IoT Based Accident Detection and Management System 基于物联网的事故检测与管理系统
International Journal of Innovative Research in Science, Engineering and Technology Pub Date : 2023-05-21 DOI: 10.59256/ijire.20230403110
Aayesha Y, A. R, Akalya Devi B, Jeevitha D
{"title":"IoT Based Accident Detection and Management System","authors":"Aayesha Y, A. R, Akalya Devi B, Jeevitha D","doi":"10.59256/ijire.20230403110","DOIUrl":"https://doi.org/10.59256/ijire.20230403110","url":null,"abstract":"Accidents on roads are a significant concern worldwide, and the response time to such incidents is crucial in saving lives. The present work proposes a real-time automatic accident detection system using the Internet of Things (IoT) based on a NodeMCU microcontroller, GPS, gyroscope, and vibration sensor. The proposed system is designed to detect accidents in real-time and notify emergency services promptly. The system uses an accelerometer-based vibration sensor to detect any sudden changes in the velocity of the vehicle. A GPS module is used to provide the location of the accident, while a gyroscope sensor provides the orientation of the vehicle The NodeMCU microcontroller is responsible for reading the data from the sensors and sending it to the cloud server. The communication module used in the system is the MQTT protocol, a lightweight messaging protocol designed for IoT devices. The microcontroller sends the data to the cloud server using MQTT, which then sends the data to the emergency services. receives the data from the microcontroller using MQTT and sends it to the emergency services using AWS Lambda. The proposed system is designed to be lightweight, reliable, and cost-effective. It uses off-the-shelf components and can be easily deployed in any vehicle. With the increasing number of vehicles on roads, the automatic accident detection system using IoT can help reduce the response time to accidents and save lives. In conclusion, the proposed system is a step towards creating a more efficient and effective accident detection system that can significantly reduce the response time to accidents and ultimately save lives. Key Word: Accident Detection, IoT, Emergency Service, Response Time.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77013479","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
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