2023 International Conference on Inventive Computation Technologies (ICICT)最新文献_第2页

Smart Door System to Prevent COVID-19 Transmission 防止COVID-19传播的智能门系统

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134100

Hasit Trivedi, Sanjay Parmar, S. Gajjar

{"title":"Smart Door System to Prevent COVID-19 Transmission","authors":"Hasit Trivedi, Sanjay Parmar, S. Gajjar","doi":"10.1109/ICICT57646.2023.10134100","DOIUrl":"https://doi.org/10.1109/ICICT57646.2023.10134100","url":null,"abstract":"The whole world has been witnessing a colossal adversary in the form of Coronavirus disease (COVID-19). With its super-fast spread, it has devastated a major part of the world and found to be the most dangerous virus of the 21st Century. Most of the countries went into lockdown to control the spread of the virus, and the economy shattered. Then slowly and gradually, some workspaces, malls, and public places started opening with the strict guidelines of governments. However, the fear of COVID-19 does not allow us to get back to our everyday lifestyle. Amongst the various symptoms observed in COVID-19-infected humans, the rise in body temperature is the most common symptom. As coronavirus is highly infectious, it is crucial to avoid physical contact with infected people to prevent the virus's spread. The primary reason for the spread of the virus is a lack of hygiene and a proper system to monitor the symptoms. Thus, the development of smart security systems for early symptom identification at the entrance of public places is essential to stop transmission. This paper covers designing a smart door system that measures the body temperature without human intervention and regulates people's entry through a mechanized door using Arduino UNO Board, IR thermometry temperature sensor, PIR sensor, and servo motor. The system will open the door only if the person seeking entry is normothermic, and if a person is hypothermic, it will trigger the alert system, which will eventually prevent the transmission of the virus.","PeriodicalId":126489,"journal":{"name":"2023 International Conference on Inventive Computation Technologies (ICICT)","volume":"1 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128691088","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

Centralised Concurrency of Medical Records 集中并发医疗记录

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134315

P. Yellamma, Sai Siva Kathera, D. S. V. S. U. S. S. N. Sarma, Yasaswin Palukuri

引用次数: 0

Context Monitoring of Patients using Wireless Network 利用无线网络对患者进行情境监测

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134482

Vanajaroselin E Chirchi, Chettiyar Vani Vivekanand, N. V. A. Grace, R. Saranya, S. Venkataramana, K. Praveena

{"title":"Context Monitoring of Patients using Wireless Network","authors":"Vanajaroselin E Chirchi, Chettiyar Vani Vivekanand, N. V. A. Grace, R. Saranya, S. Venkataramana, K. Praveena","doi":"10.1109/ICICT57646.2023.10134482","DOIUrl":"https://doi.org/10.1109/ICICT57646.2023.10134482","url":null,"abstract":"In many hospitals, doctors attend to patients either once or twice per day. A situation may arise in which the patient's health worsens during the time if a doctor is unavailable to the patient, and the patient may die as a result. Most problems in today's world are caused by a lack of efficient therapy and appropriate monitoring within the required time period. To solve these issues with the current method, this research study proposes a health monitoring framework using wireless technology, in which the patient's health is followed and communicated to the physician throughout the entire day. The Internet of Things (IoT) is an emergent technology that uses wireless networking phenomenon to transmit data. The advantage of using IoT-based healthcare monitoring systems is that they can assess many physiological characteristics of the human body and is simpler, more accurate, and more precise than traditional methods. Sensors are utilized to measure the patient's bodily functions over a wireless network. The data from the sensors is gathered and communicated to the cloud through a Wi-Fi module linked to the microprocessor. The data is stored in the cloud, and feedback mechanisms are done on the stored data, which may be analyzed distantly by a physician. Virtual monitoring relieves doctors' workload and offers patients accurate health conditions. The proposed system results suggest that the physiological sensor is more effective in terms of availability and portability. The proposed system is easy to use, will save money, and will change how hospitals work in the future.","PeriodicalId":126489,"journal":{"name":"2023 International Conference on Inventive Computation Technologies (ICICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123618801","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

Novel COVID-19 Prediction Model in Python Using FB Prophet 在Python中使用FB Prophet的新型COVID-19预测模型

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134151

Ganesana Charishma, C. Krishna, Tummala Sai Lasya, Sangana Venkata Mounika

引用次数: 0

Intelligent Production Line Control System based on ASI Communication Considering Machine Vision 基于机器视觉的ASI通信智能生产线控制系统

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134265

Lan Jiang, Yao Zhang

引用次数: 0

Prevention of Spambot Injection in Web form on Cloud Platform 云平台Web表单中Spambot注入的防范

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10133979

D. C. Jullie Josephine, S. Ebenezer, S. Amutha, C. Srivenkateswaran, Jayamabelrani, Munuswamy

引用次数: 0

ResNet-18 comparative analysis of various activation functions for image classification ResNet-18对各种激活函数进行图像分类的比较分析

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134464

Gaurav Pandey, S. Srivastava

{"title":"ResNet-18 comparative analysis of various activation functions for image classification","authors":"Gaurav Pandey, S. Srivastava","doi":"10.1109/ICICT57646.2023.10134464","DOIUrl":"https://doi.org/10.1109/ICICT57646.2023.10134464","url":null,"abstract":"Deep neural network and Machine learning are a latest emerging concept in the field of data science. Due to multi-layer hierarchical feature extraction in conjunction with control variables like number of hidden layers, activation functions, and variable parameters like learning rates, initial weights, and decay functions, deep network models perform better than machine learning techniques. While most of these parameter control the learning dynamics or complexity of representation a neural network can deal with, it is only activation function which introduces non-linearity in a network and current state of activation function poses multiple challenges to both practitioners and researchers some of which are: •Vanishing & Exploding gradients during back-propagation •Zero-mean and range of outputs •Compute complexity of function •Predictive performance Due to this reason our objective in current work in focused to explain with reasoning and experiments the landscape of activation functions available. According to a recent study, we have enough cutting-edge activation functions to modify the architecture of the well-known deep network model. Building on top of widely adopted ResNet-18 network architecture in this study. Subsequently, we evaluate the effectiveness of ResNet-18 for image classification using various activation functions.","PeriodicalId":126489,"journal":{"name":"2023 International Conference on Inventive Computation Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130104454","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 Application of Internet of Things (IoT) a New Wave of Technology for Smart Health Care 预测物联网(IoT)的应用——智能医疗技术的新浪潮

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134279

V. Manjula, C. Vijayabanu

引用次数: 0

Enhanced Capability on Smart Handheld Devices Using On-Device Machine Learning 使用设备上机器学习增强智能手持设备的能力

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134175

Sivasankar Ramamurthy, G. Niranjana

{"title":"Enhanced Capability on Smart Handheld Devices Using On-Device Machine Learning","authors":"Sivasankar Ramamurthy, G. Niranjana","doi":"10.1109/ICICT57646.2023.10134175","DOIUrl":"https://doi.org/10.1109/ICICT57646.2023.10134175","url":null,"abstract":"The current, most popular method for making edge devices intelligent relies on the cloud, where data is gathered from numerous device sources and uploaded. The developed model is then sent back to the device after being used to train a machine learning model in the cloud. The device then uses this trained model & becomes even more intelligent. Given recent developments and a growth in the number of smart devices with improved hardware capabilities, there is an increasing interest in using machine learning on the edge device itself rather than learning in the cloud. Hardware vendors are promoting AI-enabled chipsets that offer improved processing capabilities better tailored to computer vision, IoT, and machine learning based applications and solutions that benefit end users, which is further fostering this interest. This idea also reduces the overhead of offloading data to the cloud every time & also solves the security concern of user data being offloaded to the cloud. This way an enhanced security will be assured for user data and reduce overall latency for certain time-critical machine learning applications. This research study has surveyed the benefits and challenges of implementing Machine learning algorithms on edge devices by paying special attention to how techniques are adapted or designed to execute the resource-constrained devices.","PeriodicalId":126489,"journal":{"name":"2023 International Conference on Inventive Computation Technologies (ICICT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130470932","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

Survey: Analysis of Security Issues on Social Media using Data Science techniques 调查:使用数据科学技术分析社交媒体的安全问题

2023 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2023-04-26 DOI: 10.1109/ICICT57646.2023.10134391

Yadagiri Vamsi Krishna, Gudipudi Jahnavi, Medam Tharun, Sravya Geethika Yegineti, G. Raja, B. Suneetha

引用次数: 1