Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987259
V. Benedict Vinusha., V. Indhuja, Sandra Johnson
Facial expressions are one of the fundamental ways that people convey their feelings. Perhaps the most remarkable, consistent people can quickly express their feelings and intentions by making facial expressions. There has been significant progress in artificial intelligence and machine learning which are now successfully used in various fields. Additionally, pattern categorization and design recognition problems have significantly impacted machine learning computations. These works have used over 80,000 datasets from Kaggle and other websites to train a model to identify people’s emotions as a website called Real-time Emotion Recognition System Based On The Facial Expressions using Random Forest Algorithm. This recommendation predicates based on the Random Forest technique using OpenCV for Python. The System accomplishes the execution of a Convolutional Brain network for preparing a dataset and accomplishing high-order precision, and decreasing the immaterial pixels (pixels outside looks) with the assistance of the Haar Outpouring library present in the OpenCV module. The proposed innovation can distinguish the persistent feeling of the articles in the video outline. The proposed framework was contrasted with other best-at-school 3D look acknowledgment improvements in the wording of general exactness, getting a presentation of 88% against 84%, separately. The outcomes point out there to the present framework can precisely perceive looks progressively.
面部表情是人们表达情感的基本方式之一。也许最引人注目的是，言行一致的人可以通过面部表情迅速表达自己的感情和意图。人工智能和机器学习已经取得了重大进展，现在已经成功地应用于各个领域。此外，模式分类和设计识别问题也对机器学习计算产生了重大影响。这些工作使用了来自Kaggle和其他网站的8万多个数据集来训练一个模型来识别人们的情绪，这个模型被称为基于面部表情的实时情绪识别系统，使用随机森林算法。本建议基于使用OpenCV for Python的随机森林技术进行预测。该系统借助OpenCV模块中的Haar outpour库实现了卷积脑网络的执行，实现了数据集的准备和高阶精度，并减少了非物质像素(外部像素)。提出的创新可以区分视频大纲中文章的持久感。将提出的框架与其他最好的学校3D外观识别改进的一般准确性进行对比，分别获得88%对84%的呈现。结果表明，现有的框架可以精确地逐步感知外观。
{"title":"Real-time Emotion Recognition System based on the Facial Expressions using Random Forest Algorithm","authors":"V. Benedict Vinusha., V. Indhuja, Sandra Johnson","doi":"10.1109/I-SMAC55078.2022.9987259","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987259","url":null,"abstract":"Facial expressions are one of the fundamental ways that people convey their feelings. Perhaps the most remarkable, consistent people can quickly express their feelings and intentions by making facial expressions. There has been significant progress in artificial intelligence and machine learning which are now successfully used in various fields. Additionally, pattern categorization and design recognition problems have significantly impacted machine learning computations. These works have used over 80,000 datasets from Kaggle and other websites to train a model to identify people’s emotions as a website called Real-time Emotion Recognition System Based On The Facial Expressions using Random Forest Algorithm. This recommendation predicates based on the Random Forest technique using OpenCV for Python. The System accomplishes the execution of a Convolutional Brain network for preparing a dataset and accomplishing high-order precision, and decreasing the immaterial pixels (pixels outside looks) with the assistance of the Haar Outpouring library present in the OpenCV module. The proposed innovation can distinguish the persistent feeling of the articles in the video outline. The proposed framework was contrasted with other best-at-school 3D look acknowledgment improvements in the wording of general exactness, getting a presentation of 88% against 84%, separately. The outcomes point out there to the present framework can precisely perceive looks progressively.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124329971","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987326
Rosebell Paul, Neeraj M, Neeraj Sagar, Vaibhav Nair, Yadukrishnan Ps
Railway is one of our country’s most important sources of transit, yet it is a source of great concern since our railway tracks are vulnerable to damage/cracks. The major causes of railway accidents are railway track crossings and unseen faults in railway tracks. Due to such primitive conditions a numerous number of accidents are seen every year with heavy tolls to human life and infrastructure. The aim of this project is to develop a swarm robotic system to provide a real-time solution to crack detection and danger mitigation. Crack detection has been manual which is time-consuming and tedious, until recently, when the crack detection system started to become automated. But the system still has major flaws such as inability in identifying the different types of cracks, distinguishing between intentional and actual cracks, and providing a real-time solution to the identified problem. The proposed system is aimed towards efficient detection of not just cracks, but obstacles and animal detection along with fault detection in case of agent failure. A swarm robotic approach is implemented where the agents are deployed on the tracks and they are able to communicate among themselves as well as the base station in real-time. The system is integrated with an android application which updates the status of the agents of the assigned cluster in real-time. The agent also has the mechanism of detaching itself off the tracks when a train approaches to avoid collisions.
{"title":"A Swarm-based AI Aided Wheel Bot System to Detect Cracks in Railway Tracks","authors":"Rosebell Paul, Neeraj M, Neeraj Sagar, Vaibhav Nair, Yadukrishnan Ps","doi":"10.1109/I-SMAC55078.2022.9987326","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987326","url":null,"abstract":"Railway is one of our country’s most important sources of transit, yet it is a source of great concern since our railway tracks are vulnerable to damage/cracks. The major causes of railway accidents are railway track crossings and unseen faults in railway tracks. Due to such primitive conditions a numerous number of accidents are seen every year with heavy tolls to human life and infrastructure. The aim of this project is to develop a swarm robotic system to provide a real-time solution to crack detection and danger mitigation. Crack detection has been manual which is time-consuming and tedious, until recently, when the crack detection system started to become automated. But the system still has major flaws such as inability in identifying the different types of cracks, distinguishing between intentional and actual cracks, and providing a real-time solution to the identified problem. The proposed system is aimed towards efficient detection of not just cracks, but obstacles and animal detection along with fault detection in case of agent failure. A swarm robotic approach is implemented where the agents are deployed on the tracks and they are able to communicate among themselves as well as the base station in real-time. The system is integrated with an android application which updates the status of the agents of the assigned cluster in real-time. The agent also has the mechanism of detaching itself off the tracks when a train approaches to avoid collisions.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124367907","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987394
Fushan Ma, Chunhui Shao
Aiming at the problems of low data mining efficiency and low prediction accuracy of traditional fuzzy cognitive map and knowledge map, a data mining method based on intelligent knowledge map is proposed. Using the discrete and mapping of paired variables to build a scatter graph from the original data; define a quadruple fuzzy association rule, and build an intelligent knowledge map on this basis; identify hub nodes and inactive nodes according to the number of associated nodes. This paper discusses the construction of a scientific and technological knowledge service system under the big data environment, including: knowledge service departments of small and medium-sized technological enterprises, universities, scientific research structures and public libraries. financing constraints will cause great obstacles to technological innovation of enterprises and can significantly affect enterprises’ Absorption and utilization of government subsidies.
{"title":"Design of Intelligent Recommendation Information Algorithm based SMSE Intelligent Data Mining","authors":"Fushan Ma, Chunhui Shao","doi":"10.1109/I-SMAC55078.2022.9987394","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987394","url":null,"abstract":"Aiming at the problems of low data mining efficiency and low prediction accuracy of traditional fuzzy cognitive map and knowledge map, a data mining method based on intelligent knowledge map is proposed. Using the discrete and mapping of paired variables to build a scatter graph from the original data; define a quadruple fuzzy association rule, and build an intelligent knowledge map on this basis; identify hub nodes and inactive nodes according to the number of associated nodes. This paper discusses the construction of a scientific and technological knowledge service system under the big data environment, including: knowledge service departments of small and medium-sized technological enterprises, universities, scientific research structures and public libraries. financing constraints will cause great obstacles to technological innovation of enterprises and can significantly affect enterprises’ Absorption and utilization of government subsidies.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115617859","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987369
Wei-ming Zhao
The algorithm first decomposes the original waveform into three layers, and uses the improved absolute value difference method, the improved sequence similarity method, and the normalized cross-correlation method for matching in each layer, and finally achieves accurate matching. Fantasy Skyline brings together his life’s creative approach and presents it with great maturity, with a bright and smooth melody in its structure. The entire musical composition contains more than 40 poems and is named after 14 of them. The creation of the works not only contains the passion and fantasy in the verse, but also is full of many profound irony. The search strategy of the hill-climbing method and the particle swarm optimization algorithm of the swarm intelligence algorithm are respectively used to realize the non-traversal search of the waveform matching algorithm.
{"title":"Spectral Feature Recognition Model based on Waveform Matching Algorithm","authors":"Wei-ming Zhao","doi":"10.1109/I-SMAC55078.2022.9987369","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987369","url":null,"abstract":"The algorithm first decomposes the original waveform into three layers, and uses the improved absolute value difference method, the improved sequence similarity method, and the normalized cross-correlation method for matching in each layer, and finally achieves accurate matching. Fantasy Skyline brings together his life’s creative approach and presents it with great maturity, with a bright and smooth melody in its structure. The entire musical composition contains more than 40 poems and is named after 14 of them. The creation of the works not only contains the passion and fantasy in the verse, but also is full of many profound irony. The search strategy of the hill-climbing method and the particle swarm optimization algorithm of the swarm intelligence algorithm are respectively used to realize the non-traversal search of the waveform matching algorithm.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130803615","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9986505
Haitao Yu
This paper proposes a scheme to realize the networking of different smart devices by using embedded devices with ARM as the core. Then from the perspective of distributed control, the overall architecture of the system is designed, and the overall hardware scheme and software overall scheme of the system are given respectively. The writing of the whole system program is completed. Comprehensive use of Qt programming technology, wireless transmission technology, yC/OS-II operating system, uC/GUI graphical interface and other technologies are used to collect, wirelessly transmit, analyze and process indoor environmental parameters and perform feedback control. Improve the quality of building monitoring. This paper briefly introduces the building automation detection system, analyzes the precautions for the establishment of the automatic monitoring system and the future development prospects.
{"title":"Application of Intelligent Automation Control System based on Virtual Cloud Analysis Algorithm","authors":"Haitao Yu","doi":"10.1109/I-SMAC55078.2022.9986505","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9986505","url":null,"abstract":"This paper proposes a scheme to realize the networking of different smart devices by using embedded devices with ARM as the core. Then from the perspective of distributed control, the overall architecture of the system is designed, and the overall hardware scheme and software overall scheme of the system are given respectively. The writing of the whole system program is completed. Comprehensive use of Qt programming technology, wireless transmission technology, yC/OS-II operating system, uC/GUI graphical interface and other technologies are used to collect, wirelessly transmit, analyze and process indoor environmental parameters and perform feedback control. Improve the quality of building monitoring. This paper briefly introduces the building automation detection system, analyzes the precautions for the establishment of the automatic monitoring system and the future development prospects.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126589805","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987367
J. A. Venice, Kiran Kumar Thoti, H. Henrietta, Muniyandy Elangovan, D. Anusha, Aliya Zhakupova
This work presents the most recent research in Intelligent Intervals, which combines modern information technology and advanced robotics. Researchers use robots outfitted with various sensors and instruments on the surface of other planets, in orbit, or as aides to astronauts. The ability of space robots to move, work, and intelligently explore without needing to be touched on a frequent bas is or relying heavily on human operators is important to their use. This necessitates the ability to comprehend the chaotic or unfamiliar environment in which find ourselves. In such a scenery, intellectual thinking about perception is required to carry out actions in a meaningful and consistent manner. As a result, the effectiveness of robotics and automated space systems in space exploration is intimately related to robot intelligence or autonomy. The Smart Space initiative has evolved in scope and complexity since its inception in 1996. The core of a smart space is a ubiquitous sensor network integrated into the human living environment that can track a large number of people and other objects in space. With the help of intelligent space, mobile robots operate in human living areas and provide a variety of services, such as human direction. Robots are becoming more capable of solving tough space resources and planetary surfaces with autonomy and prowess as space agencies throughout the world improve their robotic missions, proving their value and usefulness in every mission. The demand for this capability is increasing as international space agencies need humans and intelligent robots.
{"title":"Artificial Intelligence based Robotic System with Enhanced Information Technology","authors":"J. A. Venice, Kiran Kumar Thoti, H. Henrietta, Muniyandy Elangovan, D. Anusha, Aliya Zhakupova","doi":"10.1109/I-SMAC55078.2022.9987367","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987367","url":null,"abstract":"This work presents the most recent research in Intelligent Intervals, which combines modern information technology and advanced robotics. Researchers use robots outfitted with various sensors and instruments on the surface of other planets, in orbit, or as aides to astronauts. The ability of space robots to move, work, and intelligently explore without needing to be touched on a frequent bas is or relying heavily on human operators is important to their use. This necessitates the ability to comprehend the chaotic or unfamiliar environment in which find ourselves. In such a scenery, intellectual thinking about perception is required to carry out actions in a meaningful and consistent manner. As a result, the effectiveness of robotics and automated space systems in space exploration is intimately related to robot intelligence or autonomy. The Smart Space initiative has evolved in scope and complexity since its inception in 1996. The core of a smart space is a ubiquitous sensor network integrated into the human living environment that can track a large number of people and other objects in space. With the help of intelligent space, mobile robots operate in human living areas and provide a variety of services, such as human direction. Robots are becoming more capable of solving tough space resources and planetary surfaces with autonomy and prowess as space agencies throughout the world improve their robotic missions, proving their value and usefulness in every mission. The demand for this capability is increasing as international space agencies need humans and intelligent robots.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114720292","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9986498
Arohi Patel, S. Degadwala, Dhairya Vyas
lung disease is now the leading cause of death worldwide. Lung disease is typically discovered in its final stages, after it has progressed to a serious state. However, the early detection of lung disease may assist in treatment. Technological advancements are critical to the delivery of healthcare services in today’s society. Electronic stethoscopes are used to record the audio clips from patients’ lungs. The audio clips provide useful information for lung diagnosis. The medical community is now focusing on the significance of detecting the lung syndrome using audio acoustics, which is a new research topic. This research study provide a range of transfer learning algorithms for lung audio classification, by utilizing the well-known ALEXNET, VGGNET, and RESNET models. With its high accuracy in classifying the lung audio, the aforementioned transfer learning models might be used to diagnose the lung disorders. Transfer learning strategies, its advantages and disadvantages will be discussed in this research study. Furthermore, this research study also suggests future directions for lung audio identification research as a means of distinguishing between the four distinct lung clips.
{"title":"Lung Respiratory Audio Prediction using Transfer Learning Models","authors":"Arohi Patel, S. Degadwala, Dhairya Vyas","doi":"10.1109/I-SMAC55078.2022.9986498","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9986498","url":null,"abstract":"lung disease is now the leading cause of death worldwide. Lung disease is typically discovered in its final stages, after it has progressed to a serious state. However, the early detection of lung disease may assist in treatment. Technological advancements are critical to the delivery of healthcare services in today’s society. Electronic stethoscopes are used to record the audio clips from patients’ lungs. The audio clips provide useful information for lung diagnosis. The medical community is now focusing on the significance of detecting the lung syndrome using audio acoustics, which is a new research topic. This research study provide a range of transfer learning algorithms for lung audio classification, by utilizing the well-known ALEXNET, VGGNET, and RESNET models. With its high accuracy in classifying the lung audio, the aforementioned transfer learning models might be used to diagnose the lung disorders. Transfer learning strategies, its advantages and disadvantages will be discussed in this research study. Furthermore, this research study also suggests future directions for lung audio identification research as a means of distinguishing between the four distinct lung clips.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116887491","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987298
M. Amutha, U. Arul, G.Radha Devi, J. Manikandan, R. Uma
The Web of Things (IoT) enables people to achieve higher levels of automation through means of building systems, sensors and interconnected tools, and the Internet. In intensive care units, silence checking is an important and fundamental activity, as even a slight delay in choosing a treatment for a patient can lead to endless helplessness or, in some cases, death. Organized sensors (worn on frames or provided on living plant elements) provide rich statistics by means and means for physical and intellectual development. Initially, IoT’s possibilities and issues can be assigned when acquiring this creative and attachment as a management restore method. Most ICU units are equipped with a variety of sensors to estimate prosperity boundaries, but it is recommended that you constantly display the screen. Pain is primarily based on the main framework, which is mainly available, mainly based on the main framework, and begins to understand the emergency and speak of the administration’s personnel. At danger, she can help the initial aggressive and fast treatment. Recovery management in this format reduces confidence in important experts for keeping more time to reduce confidence in human mixes and choose as real ideas.
{"title":"Machine Learning and Advanced Technology Based Patient Health Monitoring System","authors":"M. Amutha, U. Arul, G.Radha Devi, J. Manikandan, R. Uma","doi":"10.1109/I-SMAC55078.2022.9987298","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987298","url":null,"abstract":"The Web of Things (IoT) enables people to achieve higher levels of automation through means of building systems, sensors and interconnected tools, and the Internet. In intensive care units, silence checking is an important and fundamental activity, as even a slight delay in choosing a treatment for a patient can lead to endless helplessness or, in some cases, death. Organized sensors (worn on frames or provided on living plant elements) provide rich statistics by means and means for physical and intellectual development. Initially, IoT’s possibilities and issues can be assigned when acquiring this creative and attachment as a management restore method. Most ICU units are equipped with a variety of sensors to estimate prosperity boundaries, but it is recommended that you constantly display the screen. Pain is primarily based on the main framework, which is mainly available, mainly based on the main framework, and begins to understand the emergency and speak of the administration’s personnel. At danger, she can help the initial aggressive and fast treatment. Recovery management in this format reduces confidence in important experts for keeping more time to reduce confidence in human mixes and choose as real ideas.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117261442","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987306
M. Malathi, S. Sarujith, Samyuktha Menon
Nowadays, People prefer restaurants more than for special occasions. Simultaneously, availability of many restaurants in many areas and online food ordering platforms increases the reach of restaurants and restaurant food for people. Proposing a recommendation system will help the people to identify preferred food and restaurants rather than searching a list of restaurants and food items. Recommending restaurants and food items based on people’s rating on food items shows the quality of that food item in that restaurant and increases the reliability to new users on this recommendation system as the ratings are given by public users.
{"title":"Rating-based Restaurant and Food Recommendation System using Nearest Neighbor Algorithm","authors":"M. Malathi, S. Sarujith, Samyuktha Menon","doi":"10.1109/I-SMAC55078.2022.9987306","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987306","url":null,"abstract":"Nowadays, People prefer restaurants more than for special occasions. Simultaneously, availability of many restaurants in many areas and online food ordering platforms increases the reach of restaurants and restaurant food for people. Proposing a recommendation system will help the people to identify preferred food and restaurants rather than searching a list of restaurants and food items. Recommending restaurants and food items based on people’s rating on food items shows the quality of that food item in that restaurant and increases the reliability to new users on this recommendation system as the ratings are given by public users.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115129985","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987315
Zhuo Chen
This paper takes Watson Studio as an example to systematically and comprehensively analyze Watson’s communication cases based on the 5W model, set up a practical teaching platform, load practical cases, and set up courses and practice competitions to discuss how to carry out practice-driven machine learning. health education. Research-based learning and mental health education are inherently consistent in terms of curriculum objectives, curriculum content and teaching methods. 145 interns were used to measure the information software by using the clinical interns’ study and living condition questionnaire and symptom self-rating scale (SCLgO).
{"title":"Intelligent Measurement Information Software for AI-Enabled Education Based on Watson Studio","authors":"Zhuo Chen","doi":"10.1109/I-SMAC55078.2022.9987315","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987315","url":null,"abstract":"This paper takes Watson Studio as an example to systematically and comprehensively analyze Watson’s communication cases based on the 5W model, set up a practical teaching platform, load practical cases, and set up courses and practice competitions to discuss how to carry out practice-driven machine learning. health education. Research-based learning and mental health education are inherently consistent in terms of curriculum objectives, curriculum content and teaching methods. 145 interns were used to measure the information software by using the clinical interns’ study and living condition questionnaire and symptom self-rating scale (SCLgO).","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123538656","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}
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