2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)最新文献_第6页

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

A Comparative Study of Different MPPT Algorithms and Implementation of Single Axis Solar Tracker 不同MPPT算法与单轴太阳跟踪器实现的比较研究

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974619

R.K Harini, J. Hari Krishna, A. Haneela Reddy, A. Sneha, R. Jayabarathi

引用次数: 1

A Survey on use of FPGA in Automotive System FPGA在汽车系统中的应用综述

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974941

G. Aishwarya, Bhoomika Patil, Prashant V. Joshi, K. M. Sudarsham, Krishnamurthy Vaidyanathan, Parag Parandkar, Allan Dsouza

{"title":"A Survey on use of FPGA in Automotive System","authors":"G. Aishwarya, Bhoomika Patil, Prashant V. Joshi, K. M. Sudarsham, Krishnamurthy Vaidyanathan, Parag Parandkar, Allan Dsouza","doi":"10.1109/DISCOVER55800.2022.9974941","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974941","url":null,"abstract":"Automotive systems are real-time basis systems and are required to be highly fault-tolerant systems. Microcontrollers became a prominent part of the automotive sector. Microcontroller-based ECUs are easier to program, debug and design. However, they lack in non-availability of hard and softcore design suites, processing speed, etc. The Field Programmable Gate Array (FPGA) is one of the System-OnChip (SoC) units. FPGAs are the best choice for low-volume, high-end applications and for pre-and post-silicon validation and firmware development. FPGAs provide access to hardcore and softcore processing. This makes it more likely to be utilized in automotive systems. Clusters with more difficult performance make FPGAs a better choice over microcontrollers as they have higher performance, and parallel processing ability due to which they provide a quicker solution. FPGAs have an Advance Encryption Standard (AES), which protects the hardware from cyber threats. They are also less susceptible to data flip which causes a soft error in the hardware while processing. This paper presents a survey on the role and significance of FPGA in Automotive systems. This survey aims to showcase the opportunities and challenges of FPGAs in next-generation automotive systems.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"23 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":"123086932","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: 2

DISCOVER 2022 Cover Page DISCOVER 2022封面

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/discover55800.2022.9974760

引用次数: 0

Comparative analysis of active contour random walker and watershed algorithms in segmentation of ovarian cancer 主动轮廓随机漫步器与分水岭算法在卵巢癌图像分割中的比较分析

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974855

P. J. Ruchitha, Richitha Y Sai, Ashwini Kodipalli, R. J. Martis, Santosh K. Dasar, Taha Ismail

{"title":"Comparative analysis of active contour random walker and watershed algorithms in segmentation of ovarian cancer","authors":"P. J. Ruchitha, Richitha Y Sai, Ashwini Kodipalli, R. J. Martis, Santosh K. Dasar, Taha Ismail","doi":"10.1109/DISCOVER55800.2022.9974855","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974855","url":null,"abstract":"In the recent era, Image processing has been one of the most commonly used domain in the field of medical science that includes different kinds of procedures namely extraction, image gaining, detection, surgical planning and presentation which indeed helps in giving effective treatment to the patient and using all those techniques, the disease could also be detected at a early stage. When it comes to the case of ovarian cancer, it could be treated successfully when detected at an early stage.As per the following statistics, it is very much important to identify the cancer in the ovaries at the starting stage. Today, there are many algorithms that are being implemented in order to detect the cancer i.e. by segmentation. Here are the three algorithms Random Walker, Active Contour and Watershed that are being implemented in order to segment the ovarian cancer. Finally, a comparative analysis is being performed to identify which gives a better result among the three algorithms.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"198 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":"115528034","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: 8

A Novel Technique to Mathematically Represent the Human Knee Dynamics through the Application of the Integral Concept 应用积分概念表达人体膝关节动力学的一种新方法

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974679

Sithara Mary Sunny, K. S. Sivanandan, Arun P. Parameswaran, T. Baiju, N. Shyamasunder Bhat

{"title":"A Novel Technique to Mathematically Represent the Human Knee Dynamics through the Application of the Integral Concept","authors":"Sithara Mary Sunny, K. S. Sivanandan, Arun P. Parameswaran, T. Baiju, N. Shyamasunder Bhat","doi":"10.1109/DISCOVER55800.2022.9974679","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974679","url":null,"abstract":"The need and importance of developing comparatively affordable yet efficient assistive devices for physically disabled people is the inspiring factor for this research. This manuscript describes a novel method of mathematically formulating the dynamics of the knee joint during human locomotion through the application of the integral concept. The nth order differential equation is modified suitably to accommodate the characteristics of human locomotion. The constant coefficients $(C_{0}, C_{1}, C_{2})$ of the modified infinite series represent the physical and psychological aspects of the person and are determined by processing the data obtained experimentally via optical technique. By the analysis of the data obtained through the conduction of experiments, the mathematical representation of knee dynamics was formulated and successfully validated. The accuracy of the representation was found to be within the acceptable tolerance limit of ± 10%. The resulting model can be further utilized for the design and development of assistive devices for physically disabled people thereby aiding them to reintegrate into society and lead a normal life.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"104 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":"132210347","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

Enhanced Time-to-Time Monitoring and Surveillance in Agriculture Warehouse for Diverse Harvest Crop Yields through IoT Gadget 通过物联网小工具增强农业仓库的实时监测和监视，以实现不同的收获作物产量

2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) Pub Date : 2022-10-14 DOI: 10.1109/DISCOVER55800.2022.9974778

G. Rajesh, B. Saroja, Ab Gurulakshmi, Ramalakshmi S Malladi

{"title":"Enhanced Time-to-Time Monitoring and Surveillance in Agriculture Warehouse for Diverse Harvest Crop Yields through IoT Gadget","authors":"G. Rajesh, B. Saroja, Ab Gurulakshmi, Ramalakshmi S Malladi","doi":"10.1109/DISCOVER55800.2022.9974778","DOIUrl":"https://doi.org/10.1109/DISCOVER55800.2022.9974778","url":null,"abstract":"The losses in agriculture especially during the post-harvest sector is estimated to be from 10 to 25 per cent in fruits and vegetables. The most important entity for farmer is to master the agriculture warehouse conditions in real time, and then to take effective measures. The cold storages are built in domestic and suburban areas which are detached to agricultural fields which causes great management inconvenience. Therefore, it has great realistic meaning to improve the management efficiency using real time monitoring system. The large harvest yield storage always occupies large area and must be adapt to different crop in different seasons. This requires a flexible deployment, wide coverage and low-cost agricultural warehouse for value addition and efficient cold storage monitoring for variant crop preservation. The main objective of this paper is to avoid harvest losses (short and long term) for farmers during harvest cache and monitor agriculture warehouse atmosphere remotely through an IoT Gadget. The designed architectural framework of the cold storage environment monitoring system creates an enhanced time-to-time environmental monitoring and surveillance in agricultural warehouse for diverse harvest crop yields.","PeriodicalId":264177,"journal":{"name":"2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)","volume":"237 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":"133532326","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: 5