2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)最新文献_第2页

Smart Blind Stick Using Node MCU with Voice Alert 基于Node单片机的智能盲棒，带语音报警功能

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114051

Hemalatha Dilli, Kusuma Katragadda, Venkata Mounika Sang, S. K

{"title":"Smart Blind Stick Using Node MCU with Voice Alert","authors":"Hemalatha Dilli, Kusuma Katragadda, Venkata Mounika Sang, S. K","doi":"10.1109/OTCON56053.2023.10114051","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114051","url":null,"abstract":"In this research, Internet of Things (IoT) technology was used to create a low-cost smart stick for those who are blind or visually impaired. This Smart Walking Stick makes navigating and works easier and more comfortable for blind individuals by determining the distance between an object and a person. Previously, users used a regular stick to detect impediments, as a result, blind individuals are incapable of distinguishing objects in front of them which made them ineffective and made moving tough for a blind person. Hence, the concept of a “Smart Blind Stick” is offered as a solution to this severe problem. The ultrasonic sensor on our stick uses ultrasonic waves to find obstacles in front of us. The sensor transmits this information to the microcontroller when it detects impediments and it also estimates the distance between items. When the object is in the specified range then the buzzer rings. An Audio playback module is an additional advantage to the Smart Stick which enables the blind person to get alerted by hearing the sound as it is capable of recording different voices. This strategy is quite helpful for visually challenged people who frequently need assistance. A blind person will be helped to walk more comfortably and avoid danger.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232416","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

Predicting the Survival Status of Patient after Bone Marrow Transplant Using Fuzzy Discernibility Matrix 利用模糊分辨矩阵预测骨髓移植后患者的生存状况

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114043

Mahendra Kumar Gourisaria, Ayush Patel, Rajdeep Chatterjee, B. Sahoo

{"title":"Predicting the Survival Status of Patient after Bone Marrow Transplant Using Fuzzy Discernibility Matrix","authors":"Mahendra Kumar Gourisaria, Ayush Patel, Rajdeep Chatterjee, B. Sahoo","doi":"10.1109/OTCON56053.2023.10114043","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114043","url":null,"abstract":"Bone Marrow Transplant (BMT), also known as Stem Cell Transplant, is a type of medical treatment in which bone marrow having unhealthy cells is replaced by healthy cells. Bone Marrow Transplant helps to cure various types of cancer like lymphoma, leukemia, and other diseases that affect the bone marrow. Being able to predict if a patient can withstand a Bone Marrow Transplant can be very advantageous for doctors and patients as this prediction can be life-saving. In this paper, we have predicted the survival status of patients after Bone Marrow Transplant with the help of machine learning classifiers with the help of two feature selection processes known as the Fuzzy Discernibility Matrix (FDM) and Principal Component Analysis (PCA). We have calculated the Accuracy score, Precision Score, Recall Score, and ROC-AUC score for every classification model, and a confusion matrix is also plotted for a better analysis of the result. We have also highlighted the comparison of results given by machine learning classifiers using two approaches, where the first approach considers every feature after cleaning the dataset for training and testing, and in the second approach, we have performed feature selection by implementing Principal Component Analysis (PCA) and Fuzzy Discernibility Matrix (FDM). The best results were given by ADA Boost when trained using the features selected by the process of the Fuzzy Discernibility Matrix. It achieved an accuracy score of 0.9523, 1.0 precision score, 0.9259 recall score, and 0.9444 ROC-AUC scores. ADA Boost along with FDM had the least amount of training (64689 $mu$s) and testing time (5021 $mu$s) when compared with other approaches. It can also be concluded that using the FDM approach for feature selection will give better results as compared to other traditional feature selection techniques.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128973245","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 Futuristic Perspective on Artificial Intelligence 对人工智能的未来展望

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113980

Sumit Kushwaha

引用次数: 0

Computer aided Breast lesions classification system using digitized fine needle aspirate images 利用数字化细针抽吸图像的计算机辅助乳腺病变分类系统

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113974

Akash Chauhan, I. Kumar, Chandradeep Bhatt, Aditya Agnihotri

{"title":"Computer aided Breast lesions classification system using digitized fine needle aspirate images","authors":"Akash Chauhan, I. Kumar, Chandradeep Bhatt, Aditya Agnihotri","doi":"10.1109/OTCON56053.2023.10113974","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113974","url":null,"abstract":"According to the WHO, the cases of Breast Cancer are now a global issue as the cases are increasing day by day globally. Hence the early detection of malignant tumor is utmost important to prevent patient’s early demise due to patient’s ignorance. If patient comes to doctor and their application detects the tumor is non cancerous or it is just a benign tumor but actually it is malignant tumor then early detection alone can not play such an important role for cancer prevention. So, It is equally important to use best Machine Learning model, which surely detects malignant as malignant tumor and benign as benign tumor. Such accurate model is also highly required along with early detection of Breast Cancer disease. Our work is dedicated in this direction that our suggested model predicts malignant tumor as malignant and benign as benign tumor with high accuracy than existing model is providing. This paper suggests an architecture which produces high accuracy of the model when applied on Wisconsin Diagnostic Breast Cancer (WDBC) dataset obtained by digitized fine needle aspirate images. Our suggested model is the modified version of SVM. It is providing 63% accuracy when data points are not scaled, 98% when date is correctly scaled and 99% when the data points are correctly scaled with appropriate regularization and K fold validation techniques are applied on Support Vector Machine (SVM) instead of simply using default SVM with default parameters. Evidently, our suggested SVM provides 99% accuracy for detecting tumor as benign or malignant over WDBC dataset obtained by digitized fine needle aspirate images.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126702312","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

Management of IT Operations and IT Infrastructure with Virtual Reality 使用虚拟现实管理IT运营和IT基础设施

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114008

Swapnil Saurav, K. Sudeep

引用次数: 0

Prediction of Liver Abnormality using Machine Learning 利用机器学习预测肝脏异常

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113966

Lavanya Gottemukkala, Y. Jeevan Nagendra Kumar, U. Sai Manikanta Phani Teja, N. Tanishq Dhanraj, Y. Nitish

{"title":"Prediction of Liver Abnormality using Machine Learning","authors":"Lavanya Gottemukkala, Y. Jeevan Nagendra Kumar, U. Sai Manikanta Phani Teja, N. Tanishq Dhanraj, Y. Nitish","doi":"10.1109/OTCON56053.2023.10113966","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113966","url":null,"abstract":"Cancer according to the American Society of Clinical Oncology journal was first described back in 1600 B.C. and has been prevalent ever since. The technological advancement in the field of medical sciences aided with advancement in the field of machine learning and deep learning has brought us to a situation today, where a subject can be informed of the dangers or the possibility of possessing an infected liver. In the prediction model, different enzymes were studied, and appropriate ratios were to determine the stability of the hepatocytes in the liver. The data was employed by different Machine Learning algorithms and based on their accuracy levels the final prediction has been made using the most appropriate algorithm. In an attempt to take the model to the next level, a few more algorithms were employed and explored the dataset even more. The results of each algorithm are compared using ROC graphs and ROC AUC SCORE to achieve a better model for this prediction model. Each algorithm is given by certain hyper-parameters which would increase the fitting nature more towards the best. The most important features calculated by each algorithm are mentioned and used accordingly to calculate the results.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470153","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

Precision Agriculture: Influencing factors and challenges faced by farmers in delta districts of Tamil Nadu 精准农业:泰米尔纳德邦三角洲地区农民面临的影响因素和挑战

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113906

S. Arjune, V. S. Kumar

{"title":"Precision Agriculture: Influencing factors and challenges faced by farmers in delta districts of Tamil Nadu","authors":"S. Arjune, V. S. Kumar","doi":"10.1109/OTCON56053.2023.10113906","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113906","url":null,"abstract":"Precision agriculture is a notion with great potential for the agricultural industry, it tends to make sense to implement it to fulfil the requirements of Indian growers since India is a nation where agriculture dominates, with 50 percent of the workforce employed in it. As an illustration, overusing input materials like Inorganic manure, pesticides, and fertilisers frequently causes environmental damage and disturbs the environmental integrity. But by giving growers the ability to spot fields that need care and choose the best combination of water, manure, and herbicides to use, precision farming can assist in reducing the heavy reliance on these environment damaging inputs. While the prospect of precision farming has grown rapidly in recent years, there is still a requirement for enhancing precision farming to make the Agri sector more user-friendly. This study mainly conducted to know the attitude of farmers carry. This study tries to study the demographic factors influence on Precision Agriculture, also access the influence of Agro ecological factors, behavioural factors, institutional factors, informational factors, technical factors, perception factors towards Precision Agriculture adoption. Finally suggest appropriate recommendations for enhancing Precision Agriculture in India. New possibilities for the use of precision agriculture in India are being created by quick social changes like productivity expansion, urban development, and power consumption. Instead of cluelessly adopting the sophisticated Precision Farming innovations used by advanced countries, India should embrace techniques based on the demands of the nation’s economic situation.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125452856","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 Comprehensive Study on Supermarket Indoor Navigation for Visually Impaired using Computer Vision Techniques 基于计算机视觉技术的视障人士超市室内导航综合研究

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114030

S. Kayalvizhi, S. Roshni, Riya Ponraj, S. Priya Dharshini

{"title":"A Comprehensive Study on Supermarket Indoor Navigation for Visually Impaired using Computer Vision Techniques","authors":"S. Kayalvizhi, S. Roshni, Riya Ponraj, S. Priya Dharshini","doi":"10.1109/OTCON56053.2023.10114030","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114030","url":null,"abstract":"The ability to navigate is a fundamental skill that every person must have. People who are visually challenged need regular support when travelling from one place to another. It is difficult for them to have an autonomous shopping experience in a supermarket. The project’s goal is to make one of the daily life’s task easier for visually impaired persons. The project entails aiding visually impaired customers by guiding them to the destination of the corresponding product sections using an indoor navigation technique. The program aids in providing the visually impaired with shopping environment as well as assistance on how to buy their preferred goods. When logging into the Android app, the user or someone who is blind will speak about their shopping list preferences (voice input). The camera is turned on to provide the live-streaming video. The user can then begin navigating indoors to reach the section where the product is found. This incorporates the technology that is used in automated self-driving cars. Modeled highdefinition simulated maps of the supermarkets are used to navigate inside employing the shortest distance. The first item from the list is selected, and the user’s location is identified by matching the features in the image frame with the map and used to compute the path to the product section from there. It provides speech output for navigation. Someone who assists the people to get the products from shelves will help them to get the exact item. The buying process continues until the last item on the list is bought. As a result, this will make tasks comparatively easier for visually impaired persons and make indoor navigation possible.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121791161","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

Autonomic Management of Cloud Resources to meet Service Level Agreement 自主管理云资源以满足服务水平协议

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114010

Fetoun Alzahrani, Zaynab Almutairi, Reema AlRowis, Rabia AlNaseer, Lamya Albraheem

引用次数: 0

Automatic Pet Day–Care Robot 自动宠物日托机器人

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114041

Maya Bembde, Aditi Chavan, Prathmesh Kamble, Aditya Yelmar, Rohan Mane

引用次数: 0