2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献_第7页

Analysis and Forecast of the COVID-19 Spreading Curve for the Resumption of In-person Classes 面向复课的新冠肺炎传播曲线分析与预测

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721718

Huaze Xie, Da Li, Yuanyuan Wang, Yukiko Kawai

{"title":"Analysis and Forecast of the COVID-19 Spreading Curve for the Resumption of In-person Classes","authors":"Huaze Xie, Da Li, Yuanyuan Wang, Yukiko Kawai","doi":"10.1109/imcom53663.2022.9721718","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721718","url":null,"abstract":"With the COVID-19 pandemic, maintaining social distancing is particularly important in daily life. In recently, indoor situations such as face-to-face teaching for university restart are tried to make feasible suggestions depend on the spread of the COVID-19. In this research, we analyze and forecast the COVID-19 spreading curve of the resumption of in-person classes at university by the graph structure with the spread weight of edges based on each student’s relation. Our approach is based on the effectiveness of three distancing strategies designed to keep the curve flat and aid make the spread of the COVID-19 controllable. By detecting the possibility of student relation by three strategies, we can analyze the COVID-19 spreading curve by Graph Neural Network(GNN) and SIR model. The SIR model is a simple model that considers a population that belongs to one of the following states: Susceptible (S), Infected (I), and Recovered (R), and we calculate the contagion rate of the pathogen. In this article, we discuss two types of Open Group and Closed Group on university campuses and analyze face-to-face lectures, indoor social activities, and campus cafeterias. To verify the effectiveness of our two types of group, we simulated with the random infection curve by graph neural network model. The simulation analysis results show that our social distancing strategies can reduce the risk of COVID-19 transmission after school restarts.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122344122","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 Novel Integrated Model for Positioning Indoor MISO VLC Exploiting Non-Light-of-Sight Communication 一种利用非视光通信的室内MISO VLC集成定位新模型

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721812

Dat Vuong, Tran The Son, Duong Huu Ai, Trong-Hop Do, C. Huynh, H. N. Tan, N. V. A. Quang, Tttvinh

引用次数: 2

Predict joint angle of body parts based on sequence pattern recognition 基于序列模式识别的人体部位关节角预测

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721801

Amin Ahmadi Kasani, H. Sajedi

{"title":"Predict joint angle of body parts based on sequence pattern recognition","authors":"Amin Ahmadi Kasani, H. Sajedi","doi":"10.1109/imcom53663.2022.9721801","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721801","url":null,"abstract":"The way organs are positioned and moved in the workplace can cause pain and physical harm. Therefore, ergonomists use ergonomic risk assessments based on visual observation of the workplace, or review pictures and videos taken in the workplace. Sometimes the workers in the photos are not in perfect condition. Some parts of the workers' bodies may not be in the camera's field of view, could be obscured by objects, or by self-occlusion, this is the main problem in 2D human posture recognition. It is difficult to predict the position of body parts when they are not visible in the image, and geometric mathematical methods are not entirely suitable for this purpose. Therefore, we created a dataset with artificial images of a 3D human model, specifically for painful postures, and real human photos from different viewpoints. Each image we captured was based on a predefined joint angle for each 3D model or human model. We created various images, including images where some body parts are not visible. Nevertheless, the joint angle is estimated beforehand, so we could study the case by converting the input images into the sequence of joint connections between predefined body parts and extracting the desired joint angle with a convolutional neural network. In the end, we obtained root mean square error (RMSE) of 12.89 and mean absolute error (MAE) of 4.7 on the test dataset.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125028463","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

Significance of Syntactic Type Identification in Embedding Vector based Schema Matching 句法类型识别在嵌入向量模式匹配中的意义

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721780

Fahad Ahmed Satti, Musarrat Hussain, Sungyoung Lee, T. Chung

引用次数: 0

Using Feed-forward Backprop, Perceptron, and Self-organizing Algorithms to Predict Students’ Online Behavior 使用前馈反向、感知器和自组织算法预测学生在线行为

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721791

Ha Thi The Nguyen, Ling-Hsiu Chen, Vani Suthamathi Saravanarajan

引用次数: 0

Resu-mizer: Hybrid Resume Information Retrieval System resummizer:混合型简历信息检索系统

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721722

Saeed Ur Rehman Bhatti, M. Shaiq, Hira Sajid, Saad Ali Qureshi, Shujaat Hussain, Kifayat-Ullah Khan

{"title":"Resu-mizer: Hybrid Resume Information Retrieval System","authors":"Saeed Ur Rehman Bhatti, M. Shaiq, Hira Sajid, Saad Ali Qureshi, Shujaat Hussain, Kifayat-Ullah Khan","doi":"10.1109/imcom53663.2022.9721722","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721722","url":null,"abstract":"In the modern era, their exists a need for efficient Information Retrieval (IR), from large number of documents; consequently, leading towards automation. In the past decade, we have observed an exponential increase in data influx, particularly in the case of unstructured data, which includes images, videos, and textual documents. When textual data sources are taken into consideration, like in the case of resumes, there is no standard format, and hence, are liable to subjective experience. On the other hand, current automated information extraction techniques assume a standard format for documents. Previous researchers have employed Rule-based methods, supervised methods and semantics-based methods to extract entities from the resumes. Though these methods heavily depend on large amounts of data, that is usually in an unstructured format. Furthermore, these techniques are time-intensive and are prone to some limitations. Our study includes the selection of a two-step hybrid Information Retrieval methodology. Sequentially it can be broken down into text block classification which employs Boolean Naive Bayes with Laplcian smoothing and a tri-gram approach followed by Entity recognition using BERT-cased. Our approach had an Average F1 Score of 0.80 for Text Block Classification and an average F1 score of 0.52 for Named Entity Recognition.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772453","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

Accurate Non-Contact Body Temperature Measurement with Thermal Camera under Varying Environment Conditions 热像仪在不同环境条件下的精确非接触式体温测量

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721760

Changhoon Song, Sukhan Lee

{"title":"Accurate Non-Contact Body Temperature Measurement with Thermal Camera under Varying Environment Conditions","authors":"Changhoon Song, Sukhan Lee","doi":"10.1109/IMCOM53663.2022.9721760","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721760","url":null,"abstract":"Non-contact measurement of body temperature is preferred due not only to the convenience it provides but also to the necessity for preventing medical staffs and patients from infection and safety risk. For non-contact body temperature measurement, thermal cameras have been used to measure the temperature of facial skins. However, the problem is that temperature of facial skins varies according to varying environmental conditions such as outside temperature, subject activities prior to measurement, etc. Efforts to compensate the temperature of facial skin locations that are least affected by environmental conditions have shown only a limited success, leaving further improvement in accuracy as necessary. This paper presents a deep learning approach to body temperature prediction based on thermal camera facial skin images that provides highly accurate body temperature under varying environmental conditions. We achieve high accuracy by measuring temperature distributions of several Region-of-Interests (ROIs) on facial skins and learning the relationship between the ground truth body temperatures and the temperature distributions on ROIs. The results indicate that we can obtain around 0.2°C average error in body temperature estimation despite that subjects are exposed to hot and cold temperature, engaged in different physical activities.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114393896","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: 3

Probec: A Product hunting tool Probec:一个产品搜索工具

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721732

Hibbah Nadeem, Rukhma Tassadaq, Mobeen Nazar, Ahsan Mustufa

{"title":"Probec: A Product hunting tool","authors":"Hibbah Nadeem, Rukhma Tassadaq, Mobeen Nazar, Ahsan Mustufa","doi":"10.1109/IMCOM53663.2022.9721732","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721732","url":null,"abstract":"In recent years the use of e-commerce platforms has increased rapidly; but unfortunately, in Pakistan, this idea still needs more exposure. Our research and project are based on a web platform related to PRODUCT HUNTING TOOL in Pakistan mainly. People do not use e-commerce platforms mostly because of the lack of ease that could be provided using product hunting tools. Our web application has a simple idea to make product hunting tools similar to the existing ones, using machine learning algorithms at the back-end. Our application will and can be used by all e-commerce sites. There are several third-party tools available for a few e-commerce platforms outside Pakistan but the concept of the Product Hunting Tool in Pakistan needs to get more fame. Moreover, not much research has yet been done on Product Hunting Tools, which will eventually become the necessity of future e-commerce. Product Hunting Tool is a tool that helps sellers in finding the right product to sell. It will help the seller in gaining more profit by understanding what the right product is. This paper focuses on different product hunting tool features and their working along with the algorithms used.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130973271","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

Wireless ECU reprogramming for multiple vehicles in factories and service centers via WiFi 通过WiFi对工厂和服务中心的多辆汽车进行无线ECU重新编程

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721786

Minho Kim, Y. Do, Jaewook Jeon

引用次数: 1

A Comparative Investigation on the Use of Cloud Computing for Big Data Analytics 云计算在大数据分析中的应用比较研究

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721790

Wei Chun Lew, Muhammad Ehsan Rana, Vazeerudeen Abdul Hameed

引用次数: 4