2023 2nd International Conference for Innovation in Technology (INOCON)最新文献_第7页

Bone Cancer Identification and Separation Using K-Means and KNN Classifiers 使用K-Means和KNN分类器识别和分离骨癌

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101031

S. Shashikala, H. Uma, A. N. Sunad Kumara, N. Taranath, Lokesh Singh, D. Sisodia

{"title":"Bone Cancer Identification and Separation Using K-Means and KNN Classifiers","authors":"S. Shashikala, H. Uma, A. N. Sunad Kumara, N. Taranath, Lokesh Singh, D. Sisodia","doi":"10.1109/INOCON57975.2023.10101031","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101031","url":null,"abstract":"The unregulated cell growth will lead to the dangerous and deadliest cancer disease. In the body of humans various kinds of cancer has been detected, after going on many researches. Among all these, bone cancer is the one which will spread more widely, because of this it will leads to death. There is no anticipation for the bone cancer, therefore the bone cancer detection is more critical. Nowadays, methods like data mining and the image processing methods are utilized for the most of the studies in the process of medical image analysis. Many scientific researchers have been predicted the data, related websites and the collection of knowledge from the large databases. There are many methods used in the approaches for bone cancer detection and classification like supports vector machines, Association rule mining and fuzzy theory. In this approach of segmentation k-means will be utilized for segmenting the bone regions. In further processes for bone cancer detection the segmented image will be used by the mean intensity evaluation of the area identified. To check whether there is a presence or absence of bone cancer in the medical images that is for the classification process threshold values are used. This approach can be used for jpeg images, CT scan images. The proposed work will use the K-Nearest Neighbor (KNN) classifier as a classification technique and achieved to produce better accuracy.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131789214","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: 1

Leach Protocol with AODV based Data Transmission in Wireless Sensor Networks and IoT Applications 无线传感器网络和物联网应用中基于AODV数据传输的浸出协议

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101152

Bhawna Wadhwa, S. Yadav

{"title":"Leach Protocol with AODV based Data Transmission in Wireless Sensor Networks and IoT Applications","authors":"Bhawna Wadhwa, S. Yadav","doi":"10.1109/INOCON57975.2023.10101152","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101152","url":null,"abstract":"WSNs, or wireless sensor networks, may be used in many different contexts. The Internet of Things (IoT) is one of the most cutting-edge areas of potential use, since it paves the way for the networked linking of hitherto unrelated physical things and systems. When comparing WSNs to mobile ad hoc networks, however, limiting battery capacity is the biggest issue. As a result, there has been much study devoted to finding ways to cut down on the power that WSNs use. One of the many methods to reduce the WSNs’ energy consumption is the development of a hierarchy clustering algorithm. This research improves upon prior work by establishing a threshold limit for cluster head selection while concurrently adjusting the power level across the nodes in the current low adaptive clustering hierarchy (LEACH) clustering procedure. The proposed approach LEACH protocol improves upon the current LEACH protocol by increasing throughput by 67% and increasing the number of still-alive nodes to 1750 rounds, both of which may be leveraged to increase the WSN’s lifespan. The suggested method outperforms previous energy-efficient protocols in terms of stable period and network longevity over a wide range of parameters including coverage area, energy budget, and node density.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134264471","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

Stock Prices Prediction Using Machine Learning 利用机器学习预测股票价格

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101226

Aditi Gupta, Akansha, Khushboo Joshi, Madhu Patel, Ms. Vibha Pratap

{"title":"Stock Prices Prediction Using Machine Learning","authors":"Aditi Gupta, Akansha, Khushboo Joshi, Madhu Patel, Ms. Vibha Pratap","doi":"10.1109/INOCON57975.2023.10101226","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101226","url":null,"abstract":"Precise prediction of the stock market is incredibly difficult due to how volatile and non-linear it is. The growth of artificial intelligence and improvements in processing power have increased the accuracy of programmed methods of prediction in predicting stock values. In this paper, we used Multilayer Linear-Regression, Convolutional Neural Network (CNN), and long short-term memory (LSTM) algorithms to analyze the price trends over different time periods to predict the closing price of five companies, operating in different sectors. The final features we used were open, high, low, and close prices (OHLC), which were chosen using data pre-processing techniques. The dataset we used was made up of daily prices from 3 November 2012 to 3 November 2022. The number of previous days that would be required to predict the current day’s closing price is known as the sequence length. Then, using a different set of information, we adjusted this length and evaluated the accuracy. Our models performed the best for a sequence length of 5 and LSTM outperforms other models for each company’s dataset with different sequence lengths.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204690","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

Analysis and Evaluation of Medical Care Data using Analytic Fuzzy Process 医疗保健数据的模糊分析与评价

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101089

Parth Batra, Dr. Shuchi Sethi, Kanishk Kandoi

引用次数: 0

Design and Implementation of a Method for Diagnosing Various Stages of Alzheimer’s Illness Using Deep Learning 基于深度学习的不同阶段阿尔茨海默病诊断方法的设计与实现

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101263

P. Rachana, B. Rajalakshmi, P. Guna Keerthi., S. Kavya, R. Likitha.

引用次数: 0

Automating the Machine Learning Process using PyCaret and Streamlit 使用PyCaret和Streamlit自动化机器学习过程

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101357

Nikhilesh Sarangpure, Vipul Dhamde, Ankita Roge, Janhawi Doye, Shivam Patle, Sukhad Tamboli

引用次数: 0

An Innovation Development of Cost Wise Task Scheduling Model for Complex Transmission in Ultra Dense Cloud Networks 超密集云网络中复杂传输成本智能任务调度模型的创新发展

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101059

M. Arvindhan, Hitesh Singh

引用次数: 0

Low Power DET Flip-Flops Using C-Element 使用C-Element的低功耗DET触发器

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101275

Aravind M Abhishek, M. Veena, S. Archana

引用次数: 0

Optimal Utilization of Water for Smart Farming Using Internet of Things (IoT) 利用物联网(IoT)优化水的智能农业利用

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101227

Madhusudhana Reddy Barusu, P. Pavithra, Pallem Setty Rani Chandrika

{"title":"Optimal Utilization of Water for Smart Farming Using Internet of Things (IoT)","authors":"Madhusudhana Reddy Barusu, P. Pavithra, Pallem Setty Rani Chandrika","doi":"10.1109/INOCON57975.2023.10101227","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101227","url":null,"abstract":"The agriculture is a very important sector of Indian economy. The farming is facing various challenges present days. The main problem faced in today’s agriculture by farmers is the lack of knowledge of the requirement of the water for the crops. The farmers provide the excess amount of the water or insufficient water for the crop. In this competitive world, farmers not only depend on farming for their livelihood, but also on other occupations. Hence, there may be disturbance in watering crops. This may lead to a decrease in water levels for the crops and sometimes excess water which may also lead to damage of the crop. To get rid of this problem, smart farming system is developed using Internet of Things (IoT). Using this, the farmer comes to know about the moisture content in his field through messages that will be received. Not only just a message, in a smart agriculture system he also can water the field automatically. The main advantage of this paper is that farmers need not to spend his time to decide how much water need for specific crops. Here, moisture sensors placed in the field with the predefined quantity of the water, programmed it with a keyword mois. When the moisture reaches or above the scale value, the motor gets automatically turned off and vice versa. A soil moisture sensor is used to calculate the moisture values in the soil and gives an input to the smart farming system, consists of ESP32 and the data obtained from the sensor is sent to the cloud. The thingspeak is used as cloud, where the data gets stored. The proposed system also updates the information regarding the status of moisture levels regularly with messages to the owner. Later, the website is designed using thingspeak URL and the messages are displayed in the website.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123386831","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 Compact Circularly Polarized Slot Antenna With Wide Axial Ratio Bandwidth 一种具有宽轴比带宽的紧凑型圆极化缝隙天线

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101189

Satavisha Mitra, Upasana Nayak, Prasun Chongder

引用次数: 0