2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献_第2页

Older People’s Online Information Search During the Pandemic 大流行期间老年人在线信息搜索

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721773

Snehasish Banerjee, A. Kapetanaki, L. Dempsey

{"title":"Older People’s Online Information Search During the Pandemic","authors":"Snehasish Banerjee, A. Kapetanaki, L. Dempsey","doi":"10.1109/IMCOM53663.2022.9721773","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721773","url":null,"abstract":"As the world continues to grapple with the pandemic, how competently people search and process COVID-19-related information online has serious ramifications. In this vein, a demographic segment that is particularly research-worthy includes older people, who are usually slower in technology adoption and use compared with younger people. For these reasons, the objective of this paper is to explore how people aged 65+ search and process online information related to COVID-19. Fifteen semi-structured, in-depth interviews were conducted in the UK. The older people were found to maintain varied and broad information portfolios. Many found the internet to be an efficient avenue to seek and share information. The participants generally dismissed social media but deemed authoritative information sources (e.g., the WHO website) to be reliable. They were cautious about scams and misinformation online, and were likely to adopt an ‘if in doubt, avoid’ approach to unfamiliar sites. The study shows that older people in their effort to avoid misinformation may limit their information consumption journeys; nevertheless, this practice keeps them safe. Based on these findings, several implications for theory and practice are discussed.","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":"132299780","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

Exploring User Experience of "Animal Crossing" via Semantic Network Approach

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721764

Dongyan Nan, Min Hyung Park, Woomin Nam, Yerin Kim, ShaoPeng Che, Jang-Hyun Kim

引用次数: 2

Automatic Forecasting of Volcanoes Eruption Time 火山喷发时间的自动预报

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721804

Abdulrahman Hussien Mustafa, Farah Mahmoud AbdelMoneim, Magy Gamal Matta, Toka Ossama Barghash, W. Gomaa

{"title":"Automatic Forecasting of Volcanoes Eruption Time","authors":"Abdulrahman Hussien Mustafa, Farah Mahmoud AbdelMoneim, Magy Gamal Matta, Toka Ossama Barghash, W. Gomaa","doi":"10.1109/IMCOM53663.2022.9721804","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721804","url":null,"abstract":"Detecting volcanic eruptions before they occur is a significant issue that has traditionally proved to be challenging. However, it is an interesting concern because of its great potential in saving millions of lives by accurately forecasting the eruption time of volcanoes in the proximity of the inhabited areas, which would provide additional time and facilitate the evacuation processes of people early enough before the catastrophe. In order to forecast the eruption of volcanoes, 10 sensors were mounted around 4431 volcanoes to monitor the eruption time. The goal is to estimate the time of the eruption of another 4520 volcanoes in the coming years. Now that we have established the problem, our approach is formulated using various regression models of machine learning to see the best solution for prediction. These are: Random Forest (RF), Artificial Neural Network (ANN), Convolution Neural Network (CNN), and Long ShortTerm Memory (LSTM). We used the Mean Absolute Error (MAE) as our loss function as well as performance metric, since the time to erupt values are large, the loss will be as well. We have labeled data for training and validation, and unlabeled data for testing. The best unlabeled loss is 6,042,665 belongs to CNN model. Finally, we analyzed the results and compared between the four models and found that RF doesn’t work well with noisy data. On the other hand LSTM, ANN, and CNN have nearly the same behaviour but the latter gave better results.","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":"115388537","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 Approach for UAV-Aided Vehicle-to-Everything Networks 一种无人机辅助车对万物网络的新方法

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721776

Tran Anh Kiet, Nguyen Thi Le Quyen, P. Ho, T. Vo

引用次数: 0

Network Probabilistic Connectivity: Optimal Structures II 网络概率连通性:最优结构2

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721775

A. Rodionov

引用次数: 0

Hybrid Neural Networks for Electroencephalography Motor Imaging Classification 脑电运动成像分类的混合神经网络

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721749

Nhan Trinh, Duc Duong, Binh Tran, Hoai Su

{"title":"Hybrid Neural Networks for Electroencephalography Motor Imaging Classification","authors":"Nhan Trinh, Duc Duong, Binh Tran, Hoai Su","doi":"10.1109/imcom53663.2022.9721749","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721749","url":null,"abstract":"The classification of Electroencephalogram (EEG) Motor-Imaging (MI) signals is becoming a hot topic of research in the field of brain-computer interface (BCI). But this study has many challenges, such as The properties of the electroencephalogram (EEG) are often noisy when collected. The EEG signal is complex with many features in space and time domains, so the electricity EEG is more difficult to decipher than other data types such as text, images, archival data, and EEG that differ individually for each sample examined and collected. Recently, Convolutions Neural Networks (CNN) studies have demonstrated that CNN can be used to efficiently extract features from electroencephalographic (EEG-MI) motor images. Especially convolutional neural networks that combine many layers of convolutional neural networks, the combination of convolutional neural networks and transfer learning methods, or convolutional neural networks combined with bugs, short- long-term memory (LSTM), fully-connected (FC) to increase the efficiency of motor image EEG classification. From those studies, in this paper, we propose Hybrid Convolutional Neural Network (HCNN) as a method combined with transfer learning (TL) to extract and classify 4-dass (right arm, left arm, foot, and tongue) EEG-MI features of the competing BCI sample dataset IV 2a. A mixed neural network (HCNN) is a combination of integrated neural network (CNN) and Long-term Short-Term Memory (LSTM) used to classify features in the spatial and temporal domains of signals. EEG-MI signal. To solve the problems of individual differences in EEG, we implement Full Connection (FC) to fine-tune the parameters relative to the training data. Our proposed method improved the results obtained compared to the results we selected for the match.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"4 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":"123707710","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

The Product Development of Portable Laboratory Integrated with Local Wisdom (PL-ILW) by Undergraduate Student 大学生集成本地智慧的便携式实验室产品开发

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721731

Rudi Susanto, Mohd Nizam Husen, Adidah Lajis

{"title":"The Product Development of Portable Laboratory Integrated with Local Wisdom (PL-ILW) by Undergraduate Student","authors":"Rudi Susanto, Mohd Nizam Husen, Adidah Lajis","doi":"10.1109/imcom53663.2022.9721731","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721731","url":null,"abstract":"The purpose of this research is to determine the effectiveness of the product development of Portable Laboratory Integrated with Local Wisdom (PL-ILW) with the use of the Project-Based Learning (PBL) approach to increase the ability of students in the Department of Informatics Engineering, Duta Bangsa University, Surakarta, Indonesia. Data were obtained using observation, questionnaires, and tests. The results of this research indicate that local wisdom and portable laboratory can be integrated into learning aid products known as an PL-ILW. Other than that, the results of this research indicate that the collaboration of PBL and product development of PL-ILW can improve students' abilities in various aspects, such as the aspects of attitudes, knowledge, skills, 21st-century skills, and character development. This paper contributes to an empirical study on the integration of local wisdom and portable laboratory into a product of learning media or learning aid. In addition, it provides an alternative in the learning model especially PBL to develop the product of PL-ILW in improving student abilities.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"53 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":"122299818","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: 2

Hotel Recommendation based on Review Analysis by Considering Tourism Needs 基于旅游需求评价分析的酒店推荐

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721727

Yuanyuan Wang

{"title":"Hotel Recommendation based on Review Analysis by Considering Tourism Needs","authors":"Yuanyuan Wang","doi":"10.1109/imcom53663.2022.9721727","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721727","url":null,"abstract":"Nowadays, people often use sightseeing sites on the Web as a means of gaining information on travel destinations to make travel plans by a comprehensive judgment of information such as users’ reviews and ratings. However, this information is limited to either tourist spots or hotel facilities, and it does not consider the relationships between them. In addition, sightseeing sites such as Tripadvisor and Yahoo! Travel, provide hotel facility rankings based on popularity or rating, they are not considering complaints about hotel facilities or tourism needs. In this work, we focus on the relationships between tourist spots and hotel facilities and extract the relationships between tourist spots and hotel facilities based on location information, the reviews and ratings of hotel facilities, and the physical distance between the tourist spot and each hotel facility. Therefore, we propose a method to recommend users with a ranking of the most suitable hotel facilities for a certain tourist spot, to support efficient travel planning. It allows users to detect hotel facilities in the surroundings while searching for tourist spots. Finally, we compared the distance calculation methods and evaluated the usefulness of our proposed hotel facility recommendation method by a questionnaire survey.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"3 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":"116617611","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: 2

An Intelligent Gamification Tool to Boost Young Kids Cybersecurity Knowledge on FB Messenger 一个智能游戏化工具，以提高孩子的网络安全知识FB信使

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721733

B. Faith, Zalizah Awang Long, S. Hamid, O. F. Johnson, C. I. Eke, A. Norman

{"title":"An Intelligent Gamification Tool to Boost Young Kids Cybersecurity Knowledge on FB Messenger","authors":"B. Faith, Zalizah Awang Long, S. Hamid, O. F. Johnson, C. I. Eke, A. Norman","doi":"10.1109/IMCOM53663.2022.9721733","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721733","url":null,"abstract":"With the blind connectivity of many individuals across the Internet today, a lot of cyber-crimes and cyber-assaults occur in diverse forms. Cybersecurity knowledge among kids on Facebook Messenger within the ages of 6-12 years is a major concern due to their age group and perhaps their inability to manage security/privacy issues of their personal information and attitudes to issues while surfing the Facebook Messenger App. In view of this, this research first analysed recent issues regarding cybersecurity of young children, focusing more on Facebook Kids Messenger. All the data analysed were gotten from secondary and tertiary sources. The qualitative research approach was employed as this is purely an innovative ideation based on literature and recent security publications. Further, the innovativeness/ ingenuity of this article is the proposal of a Gamification Awareness (GA) prototype designed to ensure the boost of cybersecurity knowledge for kids on FB Messenger, which could be applicable to other online social media platforms as well. A major novelty of this paper is that, it seems to be the first research in the domain to propose an innovative knowledge approach through the use of Intelligent Gamification to boost young kid’s cybersecurity consciousness on FB Messenger. Finally, it is important to note that this paper presents the ideation stage of the development and hopes to present in a future report the development and deployment of the actual gamification technique. This could ensure that kids are fully and duly aware of necessary cybersecurity knowledge in an interactive way, while surfing the Internet, as well as boost their positive healthy development online.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"24 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":"116740495","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

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721784

Sebastian Robson, Snehasish Banerjee, Avneet Kaur

引用次数: 2