Recent Trends in Intensive Computing最新文献_第8页

A Robot for Combat and Calamities with Encrypted WSN 基于加密WSN的战斗与灾难机器人

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210293

S. Abiraj, D. Eeswar Samhithan, B. Sanjai Kumar, Y. Venkatesh

引用次数: 0

Automobile Authentication and Tracking System 汽车认证与跟踪系统

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210271

N. Duraichi, K. Arun Kumar, N. Lokesh Sathya, S. Lokesh

{"title":"Automobile Authentication and Tracking System","authors":"N. Duraichi, K. Arun Kumar, N. Lokesh Sathya, S. Lokesh","doi":"10.3233/apc210271","DOIUrl":"https://doi.org/10.3233/apc210271","url":null,"abstract":"Vehicle robbery and unknown car thefts has become a intense issue around the nation. Many culprits use unapproved vehicles to perform numerous illegal activities and leave the vehicles. The utmost reason for accidents is due to the vehicles driven by unknown users, who perform reckless and inexperienced driving without the speed limit will cause many accidents that increases the death rate. Our goal is to make a system which will allow the person who have authorized license. For this purpose, we plan to install an automated system in the vehicle to introduce smart license verification technology. Various techniques and technologies are being explained to detect the details of the driver, and also Various vehicle thefts are being done in spite of various surveillance cameras are set down to keep an eye on the activities and various technologies are being implemented to diminish the vehicle robbery. So, we proposed the system with the concept of deep learning. As compared to normal detection techniques deep learning collects N number of input samples and compares it with the database details. After the authentication process the engine mechanism starts, if not authorized it gives a buzzer sound and vehicle doesn’t start until the details of registered person is authenticated.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132074420","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 Design of Advance Scalable QoS Based Resource Provisioning Framework 基于高级可扩展QoS的资源配置框架分析与设计

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210187

P. Shelke, Rekha Shahapurkar

{"title":"Analysis and Design of Advance Scalable QoS Based Resource Provisioning Framework","authors":"P. Shelke, Rekha Shahapurkar","doi":"10.3233/apc210187","DOIUrl":"https://doi.org/10.3233/apc210187","url":null,"abstract":"In today’s growing cloud world, where users are continuously demanding a large number of services or resources at the same time, cloud providers aim to meet their needs while maintaining service quality, an ideal QoS-based resource provisioning is required. In the consideration of the quality-of-service parameters, it is essential to place a greater emphasis on the scalability attribute, which aids in the design of complex resource provisioning frameworks. This study aims to determine how much work is done in light of scalability as the most important QoS attribute. We first conducted a detailed survey on similar QoS-based resource provisioning proposed frameworks/techniques in this article, which discusses QoS parameters with increasingly growing cloud usage expectations. Second, this paper focuses on scalability as the main QOS characteristic, with types, issues, review questions and research gaps discussed in detail, revealing that less work has been performed thus far. We will try to address scalability and resource provisioning problems with our proposed advance scalable QoS-based resource provisioning framework by integrating new modules resource scheduler, load balancer, resource tracker, and cloud user budget tracker in the resource provisioning process. Cloud providers can easily achieve scalability of resources while performing resource provisioning by integrating the working specialty of these sub modules.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133343876","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

Enhancement of Power Generation in Highway Using Wind Energy Conversion System Integrated with PV 利用集成光伏的风能转换系统增强公路发电能力

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210300

Kiruba.K, Deepika.D, Jaitha.G, Madhuja.S

引用次数: 0

A Review on BCI Emotions Classification for EEG Signals Using Deep Learning 基于深度学习的脑电信号BCI情绪分类研究进展

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210241

Puja A. Chavan, S. Desai

{"title":"A Review on BCI Emotions Classification for EEG Signals Using Deep Learning","authors":"Puja A. Chavan, S. Desai","doi":"10.3233/apc210241","DOIUrl":"https://doi.org/10.3233/apc210241","url":null,"abstract":"Emotion awareness is one of the most important subjects in the field of affective computing. Using nonverbal behavioral methods such as recognition of facial expression, verbal behavioral method, recognition of speech emotion, or physiological signals-based methods such as recognition of emotions based on electroencephalogram (EEG) can predict human emotion. However, it is notable that data obtained from either nonverbal or verbal behaviors are indirect emotional signals suggesting brain activity. Unlike the nonverbal or verbal actions, EEG signals are reported directly from the human brain cortex and thus may be more effective in representing the inner emotional states of the brain. Consequently, when used to measure human emotion, the use of EEG data can be more accurate than data on behavior. For this reason, the identification of human emotion from EEG signals has become a very important research subject in current emotional brain-computer interfaces (BCIs) aimed at inferring human emotional states based on the EEG signals recorded. In this paper, a hybrid deep learning approach has proposed using CNN and a long short-term memory (LSTM) algorithm is investigated for the purpose of automatic classification of epileptic disease from EEG signals. The signals have been processed by CNN for feature extraction from runtime environment while LSTM has used for classification of entire data. Finally, system demonstrates each EEG data file as normal or epileptic disease. In this research to describes a state of art for effective epileptic disease detection prediction and classification using hybrid deep learning algorithms. This research demonstrates a collaboration of CNN and LSTM for entire classification of EEG signals in numerous existing systems.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117084617","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

Enhancing Agricultural Product Supply Chain Management Using Blockchain Technology: Concept 利用区块链技术加强农产品供应链管理:概念

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210240

M. A. Jawale, A. B. Pawar

引用次数: 0

Implementation of IoT in Agriculture 物联网在农业中的应用

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210258

B. Mohamed Arafath Rajack, N. Subramanian, N. Arun Pragadesh, R. Suvanesh, S. Vignesh

引用次数: 0

Smart Ambulance System with Remote Knowledge Communications Through Cloud 基于云的远程知识通信智能救护车系统

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210260

B. Jayashree, A. Shivaranjani, S. Suvetha, M. J. Rani, P., Suresha Barani

{"title":"Smart Ambulance System with Remote Knowledge Communications Through Cloud","authors":"B. Jayashree, A. Shivaranjani, S. Suvetha, M. J. Rani, P., Suresha Barani","doi":"10.3233/apc210260","DOIUrl":"https://doi.org/10.3233/apc210260","url":null,"abstract":"An ambulance is one of saving many lives by taking the people who need health emergencies. Saving the life of the person is one of the challenging and precious ones. Our key idea is to deliver a patient’s health condition before the victim reaches the hospital in this project. Here we use some biomedical sensors like a heartbeat sensor, temperature sensor, and a respiratory sensor to check the patient health status. There will be a continuous update to the hospital about the patient’s condition through the cloud with the help of the internet of things. The hospitals can also track the ambulance’s live location through the GPS placed in the ambulance where it arrives, and they can know at what time the patient reaches the hospital. With this information, if the patient is in critical condition, the hospital staff can make all the earlier arrangements before the patient arrives at the hospital and saves their lives as soon as possible. Here we use the biometric sensor to know the patient’s information by scanning the patient’s fingerprint. The stored database obtains this information. In cases of accident situations, to avoid legal problems, the patient’s information is sent to the cops through the GSM, and it is also intimated to the patient’s relatives as soon as possible. The parameters which are measured by using biomedical sensors are viewed by doctors using the Blynk app.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114581743","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

Node Failure Management to Improve the Performance of Wireless Sensor Networks 节点故障管理提高无线传感器网络性能

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210233

Dr. Pallavi Katkar, Ashwini R Pawar, S. Zalte, Suhas Katkar

引用次数: 1

Shopping Wagon: A Smart Shopping System Using RFID for Shopping Malls 购物车:一种应用于商场的RFID智能购物系统

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210281

S. Deepa, Amala Nihila.A, Prabhavathi.J, Meenatchi.M, Varsha.M.J

引用次数: 1