2023 2nd International Conference on Edge Computing and Applications (ICECAA)最新文献

Method for Monitoring Patterns in the Behavior of Brain Activity Prior to an Episode of Epilepsy, Applied to Young People in Times of the Covid-19 Pandemic, using Low-Cost BCI Devices 使用低成本脑机接口设备监测癫痫发作前大脑活动行为模式的方法，应用于Covid-19大流行时期的年轻人

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212315

W. Auccahuasi, Oscar Linares, Luis Vivanco-Aldon, Martin Campos-Martinez, Humberto Quispe-Peña, Julia Sobrino-Mesias

{"title":"Method for Monitoring Patterns in the Behavior of Brain Activity Prior to an Episode of Epilepsy, Applied to Young People in Times of the Covid-19 Pandemic, using Low-Cost BCI Devices","authors":"W. Auccahuasi, Oscar Linares, Luis Vivanco-Aldon, Martin Campos-Martinez, Humberto Quispe-Peña, Julia Sobrino-Mesias","doi":"10.1109/ICECAA58104.2023.10212315","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212315","url":null,"abstract":"Epilepsy is one of the characteristic diseases of brain activity. People with this disease live with the symptoms and try to control the events to mitigate the effects that they may cause, such as a fall, blow, or any other consequence. In these times of pandemic caused by COVID-19, many of the people who have this disease present many events in a row, which can be caused by many factors, such as being at home most of the day, without being able to go out to get distracted. In this research work, a practical method is presented to monitor and predict an epilepsy event, based on the measurement of stress and meditation levels by using low-cost devices. For the evaluation of the method, measurements were made on a patient who constantly presents epilepsy events. The evaluation was carried out when she took her classes online, where the students present greater pressure. The method uses smartwatches to evaluate the stress level and BCI devices to measure the level of meditation. The results found in the data analysis present grouped values for the positive and negative cases of happening of epilepsy events. In the evaluation, possible threshold values that can be used to classify epilepsy events were determined. The determined threshold value can be used independently if only one device can be counted on. The reference threshold value is determined between values of 41 and 79, on a scale of 1 to 100. It is concluded that the device that can be counted on in the market at a low cost is the smartwatch that measures the stress level, compared to the best-known brain signal analysis device. As for the BCI device, the presented method is easy to implement; it can be easily used by the patients themselves or their relatives.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115748485","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

Human Safety and Vehicle Speed Controlling using Internet of Things (IoT) 基于物联网(IoT)的人类安全和车速控制

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212192

S. Kavitha, Safreen, Padmasree, Niskriyaa, Keerthana

引用次数: 0

Denial of Service Attack Analysis Using Machine Learning Techniques 使用机器学习技术的拒绝服务攻击分析

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212215

Sohail Hussain, R. Karthikeyan, S. Ramamoorthi, I. Arafat, S. M. Gani

引用次数: 0

Building a Light Weight Intelligible Text-to-Speech Voice Model for Indian Accent Telugu 建立轻量级可理解的印度泰卢固语文本到语音语音模型

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212348

C. A. Kumar, Dr. Y. Chalapathi Rao, Vondala Naveen, Kumar, R. K. Senapati

{"title":"Building a Light Weight Intelligible Text-to-Speech Voice Model for Indian Accent Telugu","authors":"C. A. Kumar, Dr. Y. Chalapathi Rao, Vondala Naveen, Kumar, R. K. Senapati","doi":"10.1109/ICECAA58104.2023.10212348","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212348","url":null,"abstract":"Text-to-speech (TTS) synthesis involves creating machines that can talk. It is the process of automatically converting written text into spoken speech. TTS systems are important in human-computer interaction, and they have become more prominent with the advancement of computer technology. There has been a growing demand for speech applications in various areas such as telemedicine, robotics, Google Assistant, and other fields, especially during the Covid-19 era. It is clear that the existing speech technology is not good enough for users. Many speech applications still use pre-recorded prompts instead of text-to-speech because the quality of text-to-speech isn't good, and it can't pronounce non-standard words. In this study, a dependable and effective approach is proposed for creating speech synthesis voices that are specialized for specific domains and can handle non-standard words. This involves developing lexicon rules for non-standard words. By constructing databases that are closely related to the specific domain of the speech application, concatenative unit selection synthesis techniques, implemented using the festival/festvox tool, can be utilized to achieve high-quality, intelligible, and natural speech synthesis within the targeted domain. And the quality of proposed voice model is measured using Melcepstral distortion as an objective metric and Mean Opinion score as a subjective metric.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125435021","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

Scene Style Conversion Algorithm of AI Digital Host: A Deep Learning Approach AI数字主机场景风格转换算法:一种深度学习方法

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212269

Xinli Lyu, Fangli Ying, Pintusorn Onpium

{"title":"Scene Style Conversion Algorithm of AI Digital Host: A Deep Learning Approach","authors":"Xinli Lyu, Fangli Ying, Pintusorn Onpium","doi":"10.1109/ICECAA58104.2023.10212269","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212269","url":null,"abstract":"In the recent years, image diversity generation algorithms based on deep learning have gradually mined feature information that can describe the essential content of images through hierarchical learning, which has become a current research hotspot. In particular, the emergence of GANs has made the qualitative leap in the speed and quality of image data generation due to its good autonomous generation ability and ingenious weakly supervised learning mode. In this study, the focus is deep learning based scene style conversion algorithm of the AI digital host. The proposed model has 2 aspects: (1) Efficient face modelling. In this step, the face features are extracted and combined with deep neural networks to obtain the efficient representations, then, the rough stitching of point cloud data is applied to construct the different perspectives the faces. (2) Efficient style conversion algorithm. This study designs an improved GAN algorithm to create new image conversion scheme to complete the design of the AI host. In the experiment section, the mainstream evaluation methods are adopted to test the performance.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125573006","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 on Smart Traffic Lights and Streetlight System 基于智能交通灯和路灯系统的物联网

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212121

S. S, Shakunthala M, C. V. Josphine, M. T. Kingslin, S. Sivarajan, Chairma Lakshmi K R

{"title":"IoT based on Smart Traffic Lights and Streetlight System","authors":"S. S, Shakunthala M, C. V. Josphine, M. T. Kingslin, S. Sivarajan, Chairma Lakshmi K R","doi":"10.1109/ICECAA58104.2023.10212121","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212121","url":null,"abstract":"Energy wastage, traffic jams, and traffic monitoring are the three main problems the world's population is confronting. The traditional roadway management method is ineffective at controlling the flow of traffic when one lane has significantly more traffic than the others. Additionally, the present street light controller uses lights that are not turned off in the morning even though it is sufficiently light outside and that are turned on in the late afternoon before even the sun sets, which causes some power loss. This proposed system will offer an advanced smart traffic management system and intelligent street lighting system to bring a standardized approach to solving this issue. The enhanced smart traffic control system is accomplished by modifying the signal timings based on the comparison of the densities on all roads, i.e., when a specific lane has much more density compared to the other lanes, that specific lane is modified to a green signal for a specified length of time. By computerizing solar-powered street lights with IoT, energy wastage in the traditional street lighting system is prevented. The street lights are activated whenever an item moves, or they remain off otherwise. This proposed method reduces traffic issues, and energy wastage and improves the traffic monitoring process also.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602250","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

Cloud Security Analysis using Blockchain Technology 使用区块链技术进行云安全分析

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212415

K. Meenakshi, S. Sivasubramanian, B. Bharathi, S. John, Justin Thangaraj

{"title":"Cloud Security Analysis using Blockchain Technology","authors":"K. Meenakshi, S. Sivasubramanian, B. Bharathi, S. John, Justin Thangaraj","doi":"10.1109/ICECAA58104.2023.10212415","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212415","url":null,"abstract":"Cloud computing is now widely employed across a variety of IT-related fields. It has become an essential technology to address infrastructure and data service requirements with minimal effort, low-cost, and with a high degree of scalability. Although the use of cloud computing has increased significantly, information security concerns have not yet been fully resolved. There are still certain information security concerns that must be resolved in order for cloud computing to advance. In terms of integrity, authenticity, and secrecy, in particular, Blockchain has developed into an essential security instrument. The application of Blockchain in cloud computing security is further examined in this article after a review of the different security concerns in blockchain and cloud computing. The main challenge in the cloud computing is cloud computing security. Because data in the cloud must be transported via the Internet, data security becomes a top priority. It is necessary to maintain the primary data protection methods, such as integrity, accountability, privacies, access controls, authentications, and authorizations. Blockchain is a technological advancement that enhances cloud computing. Blockchain resolves cloud computing security problems. This study seeks to analyze and contrast various cloud environment security challenges with blockchain security difficulties.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115032642","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

Raspberry Pi Controller based Sewage Treating Mobile Robot using Machine Learning 基于树莓派控制器的污水处理机器学习移动机器人

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212386

K. M, N. M, Naresh Kumar A, Nitheesh Gokul M

引用次数: 0

A Comprehensive Analysis on Unconstraint Video Analysis Using Deep Learning Approaches 基于深度学习方法的无约束视频分析综合分析

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212227

P. N. Bhushanam, S. S

引用次数: 0

Online Digital Cheque Signature Verification using Deep Learning Approach 基于深度学习方法的在线数字支票签名验证

2023 2nd International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2023-07-19 DOI: 10.1109/ICECAA58104.2023.10212410

A. M., S. Suvarna, Rajgopal K T

引用次数: 0