2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)最新文献_第4页

Securing Healthcare Data with Blockchain for Diabetic and Cardio Disease Prediction 利用区块链保护医疗数据，用于糖尿病和心血管疾病预测

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974663

S. Pallavi Singh, P. Lavanya, Mb Nirmala, R. Madhusudan, Bs Nikhil

{"title":"Securing Healthcare Data with Blockchain for Diabetic and Cardio Disease Prediction","authors":"S. Pallavi Singh, P. Lavanya, Mb Nirmala, R. Madhusudan, Bs Nikhil","doi":"10.1109/DISCOVER55800.2022.9974663","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974663","url":null,"abstract":"Health is wealth. Taking care of one’s health is important. Nowadays, people are following improper lifestyles such as unhealthy diet, lack of exercise, stressful life, consumption of alcohol, and smoking which is making our health condition worse, and slowly our body is becoming prone to different kinds of diseases. Diabetes has been the most common disease in the past few decades. In a survey, a conclusion was obtained that people with diabetes are having more chances of heart disease. Early detection of disease helps us to take preliminary action which saves life. It helps to understand the body’s situation and medicate before any bad thing happens. The details of the test and result are obtained as a hardcopy from clinical labs, which might be lost or tampered with due to certain reasons. Hence, there is a need to store those details in a secured storage platform to know the medical history of the patient. Sharing medical records allows physicians to understand the patient’s health, which helps them to provide the best possible treatment during an emergency. We have obtained ANN and Decision Tree as best models to predict the diabetes and cardio disease which gave an accuracy of 80% and 100% respectively.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127632699","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

VLSI Implementation of Neural Network Based Emergent Behavior Model for Robot Control 基于神经网络的机器人紧急行为控制模型的VLSI实现

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974734

Jimmy Patel, Harsh Advani, Subhadeep Paul, Tapas Kumar Maiti

引用次数: 1

Voice Assisted Form Filling for the Differently Abled 为残疾人士提供语音辅助填写表格

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974834

Shreya Sri Ramasubramanian, Sunit Koodli, Pranav Nair, Mahah Sadique, H. Mamatha

{"title":"Voice Assisted Form Filling for the Differently Abled","authors":"Shreya Sri Ramasubramanian, Sunit Koodli, Pranav Nair, Mahah Sadique, H. Mamatha","doi":"10.1109/DISCOVER55800.2022.9974834","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974834","url":null,"abstract":"It is a cumbersome process for the differently abled, especially the visually impaired to fill out forms themselves. The objective of this project is to provide a voice-based medium for automated record entry in the UDID (Unique Disability ID) form, while simultaneously performing real time analysis with high efficiency and accuracy. The goal is to use this technology at kiosks in banks & government offices. This eliminates the need for a helper to fill out the form for the differently abled, giving them a sense of independence.The technology involves a voice assistance option on the online UDID form, using which the software sends out prompts, i.e., the questions present in the UDID form. To avoid any malpractice, these prompts are sent out only after the User’s identity is verified. The User’s data is collected in the form of voice input and it undergoes several processes within the software. After the completion of these processes, meaningful data is stored as a dictionary. Finally, the recorded data present in the dictionary is uploaded on to the database, thus completing the process of filling the UDID form.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115184865","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 Survey on Artificial Intelligence-based Lung Tumor Segmentation and Classification 基于人工智能的肺肿瘤分割分类研究进展

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974713

T. S. Chandrakantha, B. Jagadale, G. Madhuri

{"title":"A Survey on Artificial Intelligence-based Lung Tumor Segmentation and Classification","authors":"T. S. Chandrakantha, B. Jagadale, G. Madhuri","doi":"10.1109/DISCOVER55800.2022.9974713","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974713","url":null,"abstract":"Lung Tumor (LT) is difficult to detect, making it a particularly dangerous type of cancer. As a result, quick and precise nodule assessment is more crucial for patients of both sexes. LT can now be treated using a wide range of techniques and diagnostics. The earlier the LT is detected, the better the prognosis for the patient. Typically, a pathologist review is utilized to identify a tumor, but this method is time-consuming and error-prone. The automatic detection of the tumor would be extremely beneficial to pathologists. There has been a proliferation of ways for identifying LT with the emergence of Computed Tomography (CT) scans and x-rays in recent years. This study compares and contrasts various Artificial Intelligence (AI) techniques like machine learning (ML) and deep learning (DL) methods for identifying LT. A combination of image recognition and segmentation algorithms can be used to find LT nodules. This paper also includes the metrics used to validate the classification and segmentation technique. Moreover, an overview of imaging modalities and publicly available benchmark databases utilized in prior LT investigations are discussed. This information will be helpful to anyone working in the relevant field.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129540068","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

About IEEE MSS 关于IEEE MSS

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/discover55800.2022.9974772

引用次数: 0

Visualized Document Similarity Framework with the aid of Knowledge Graph 基于知识图谱的可视化文档相似度框架

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974739

Prakhyath Rai, B. Shamantha Rai

{"title":"Visualized Document Similarity Framework with the aid of Knowledge Graph","authors":"Prakhyath Rai, B. Shamantha Rai","doi":"10.1109/DISCOVER55800.2022.9974739","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974739","url":null,"abstract":"Document processing has its foundation laid over the precise and efficient computation of document similarity. With the exponential growth of information resources, the document quantity explodes digitally and there’s always a tendency to equip with tools and frameworks which would assist in capturing the relevant and useful patterns from this free flow of contents. This paper illustrates a text refinement framework to compute the similarity of documents and visualize the similarity analysis. The method proposed in the paper employs knowledge graph technique to aid in visualizing the similarity scores of documents. The visualization is built on top of an information rich corpus extracted from the input documents in the form of triplets. The triplet information corpus then facilitates the computation of similarity score and aids in visualizing the analysis. Prior to triplet generation the input documents are pre-processed to eliminate noise, reduce randomness and lemmatized. The pre-processing and the triplet corpus aid in handling long documents by enhancing the process of similarity computation and visual analysis.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133814109","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

Voltage-Gated Spin-Orbit Torque Magnetic Tunnel Junction model analysis 电压门控自旋轨道转矩磁隧道结模型分析

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974906

Srija Alla, Vinod Kumar Joshi, S. Bhat

引用次数: 0