2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献_第9页

A Multi-task based Bilateral-Branch Network for Imbalanced Citation Intent Classification 基于多任务的不平衡引文意图分类双边分支网络

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721746

Tianxiang Hu, Jiyi Li, Fumiyo Fukumoto, Renjie Zhou

{"title":"A Multi-task based Bilateral-Branch Network for Imbalanced Citation Intent Classification","authors":"Tianxiang Hu, Jiyi Li, Fumiyo Fukumoto, Renjie Zhou","doi":"10.1109/imcom53663.2022.9721746","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721746","url":null,"abstract":"Identifying the purpose of citations plays an important role in evaluating the impact of the literature. There is a data imbalanced problem on different types of citation intents which harms the performance of the classification model. To alleviate this problem, We adapt the bilateral-branch network proposed in the computer vision domain to our topic in the natural language processing domain by constructing shared and non-shared encoder layers using pre-trained language model and word attention layer respectively. In addition, to learn rich representations by leveraging the auxiliary information, we propose a multi-task based bilateral-branch network. On the issue of how to integrate multi-task model and bilateral-branch network, because one advantage of multi-task learning is using more data or information to learn better representations, we propose a solution of integrating the networks of the auxiliary tasks with the representation learning branch of the bilateral- branch network. The experimental results show that our model outperforms other models used for citation intent classification.","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":"129280107","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

RECP from the Perspective of Chinese Mainlanders and Taiwanese Netizens: A Comparative Semantic Network Analysis 大陆网民与台湾网民的语义网络比较分析

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721777

ShaoPeng Che, Pim Kamphuis, Shunan Zhang, J. Kim

引用次数: 0

An Approach to Improving Anomaly Detection Using Multiple Detectors 一种利用多检测器改进异常检测的方法

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721751

Paaras Chand, M. Moh, Teng-Sheng Moh

引用次数: 0

Intelligent Water Level Prediction Model for small-and medium-sized rivers Based on Small Sample Data 基于小样本数据的中小河流智能水位预测模型

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721793

Q. Chen, D. Wan, Yufeng Yu, Ke Li

引用次数: 2

Medical Image Segmentation for Skin Lesion Detection via Topological Data Analysis 基于拓扑数据分析的医学图像分割用于皮肤病变检测

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721758

N. Jazayeri, Farnaz Jazayeri, H. Sajedi

引用次数: 0

A Framework for an IT-based risk management for the third-party funding process in universities (TRINITY) 大学第三方资助过程中基于it的风险管理框架(TRINITY)

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721792

M. Baumgart, Claudia Hösel, Manuel Heinzig, M. Vodel, Christian Roschke, M. Ritter

{"title":"A Framework for an IT-based risk management for the third-party funding process in universities (TRINITY)","authors":"M. Baumgart, Claudia Hösel, Manuel Heinzig, M. Vodel, Christian Roschke, M. Ritter","doi":"10.1109/imcom53663.2022.9721792","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721792","url":null,"abstract":"For the current needs in research management at universities with a high volume of third-party funding, current systems offer solutions that focus exclusively on specific areas and no longer do justice to the current complexity. For example, ERP systems provide functions for budget and personnel, research information systems for marketing, and document management systems provide functions for administration. What all systems have in common is that they do not holistically map the third-party funding process and do not take into account the multitude of risks associated with soliciting and implementing projects. This paper focuses on the design of a framework for IT-based support of risk management in the third-party funding process (TRINITY). We model the generic workflow and identify relevant risks, from which we derive requirements for an IT-based risk management system to be created. Based on this, we design a framework that maps the generic process of risk management in the third-party funding area.","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":"129838145","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

Self-studying environment with imagery rehearsal for a ball-carrier in basketball 带意象排练的篮球持球者自学环境

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721766

Kenji Matsuura, Hiroki Tanioka, Naka Gotoda, T. Wada

{"title":"Self-studying environment with imagery rehearsal for a ball-carrier in basketball","authors":"Kenji Matsuura, Hiroki Tanioka, Naka Gotoda, T. Wada","doi":"10.1109/imcom53663.2022.9721766","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721766","url":null,"abstract":"This study focuses on a player who carries a ball in basketball and develops a learning support environment for the player’s selecting action. In this study, the targeting actions for next time are passing, dribbling, and shooting as the basic actions for the selection. In order for learners to select an action according to the situation, we apply the Delaunay diagram, which is defined from a two-dimensional overhead view of the court, to automatically extract possible options of the next actions. The system applies an estimation indicator in respect to shooting possibility to the extracted options. The indicator is estimated based on the positions of the ball carrier, other players, and the goal represented in the game data. This indexed value is called \"My Recommendation\" indicating the degree of potential success. We developed a system to present the extracted action options and the degree of recommendation to a learner. When a 2D-animation is shown in this system, the action options are suggested by colored arrows starting from the ball carrier to the target option. Through the prototype use, learners could learn typical behavior patterns.","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":"128539228","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

Designing Ensemble Deep Learning Intrusion Detection System for DDoS attacks in Software Defined Networks 软件定义网络中DDoS攻击的集成深度学习入侵检测系统设计

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721785

Uakomba Mbasuva, G. Lusilao-Zodi

{"title":"Designing Ensemble Deep Learning Intrusion Detection System for DDoS attacks in Software Defined Networks","authors":"Uakomba Mbasuva, G. Lusilao-Zodi","doi":"10.1109/imcom53663.2022.9721785","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721785","url":null,"abstract":"Software Defined Networks (SDN) is gaining popularity in academia and the industry. This is due to SDNs ease of programmability, flexibility and centralized management. These networking features allow network administrators and programmers to easily monitor and control the entire network, at a limited cost. However, because of its centralized architecture, the controller becomes a single point of failure. This vulnerability makes it a target to cyber-attacks, but more specifically to Distributed Denial of Service (DDoS) attacks. The DDoS attack may target the SDN network controller in order to disrupt the entire network, causing network resources unavailable to legitimate users. Hence, in this work, we propose an ensemble Deep Learning (DL) Intrusion Detection System (IDS) to detect DDoS attack traffic in SDNs. Our proposed approach build an ensemble of Convolutional Neural Network (CNN), Deep Neural Network (DNN) and Recurrent Neural Network (RNN) model. To train the model, we use feature selection techniques from the literature and utilized the Canadian Institute for Cybersecurity Intrusion Detection System (CIC-IDS2017) as the evaluation dataset. The performance of the proposed model is compared with existing models, and from the results, it is observed that our proposed ensemble deep learning model performs better than ensemble CNN, ensemble RNN and ensemble voting.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"42 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":"130410695","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: 4

A Preliminary Study of Cashless Payment Face Recognition System Development in Malaysia 马来西亚无现金支付人脸识别系统发展的初步研究

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721723

S. Ismail, S. Ismail

引用次数: 2

A More Effective Book Search System Utilizing Colors Reflecting Reader Impressions 利用颜色反映读者印象的更有效的图书搜索系统

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721633

Shota Nakamura, T. Kajiyama

引用次数: 1