2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献_第2页

A Cross-Cultural Comparative Study on the Startup Discourse in 2000–2019 between United States and China 2000-2019年中美创业话语的跨文化比较研究

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377432

Jaeyeon Jang, Byungjun Kim, Kveo Re Lee, J. Kim

引用次数: 0

Authentication and Trustful Communication Protocol for IoT Devices 物联网设备的认证和可信通信协议

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377369

Seiya Kobayashi, T. Miyazaki

引用次数: 0

Inter-dependent LSTM: Baseball Game Prediction with Starting and Finishing Lineups 相互依赖的LSTM:棒球比赛首发和结束阵容预测

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377370

Sungjin Chun, C. Son, Hyunseung Choo

{"title":"Inter-dependent LSTM: Baseball Game Prediction with Starting and Finishing Lineups","authors":"Sungjin Chun, C. Son, Hyunseung Choo","doi":"10.1109/IMCOM51814.2021.9377370","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377370","url":null,"abstract":"With the wide availability of historical data from baseball games, one of the most popular sports, high accurate winner prediction has become a significant target of statistical analysis and machine learning. However, existing techniques for a pre-game prediction yield poor accuracies due to the incomplete player lists given in starting lineups and substitutions occurring during the game. We exploit the capability of Long Short-Term Memory (LSTM) in identifying hidden patterns of time series data to propose inter-dependent LSTM baseball game prediction with only the starting lineup information. Particularly, we preprocess historical data to generate a pair of pre-game and post-game records for each baseball game. The pre-game record indicates the incomplete player lists given in starting lineups, and the post-game one contains the list of all players who participated in the game. The inter-dependent LSTM model exploits the dependencies of the pairs to predict a game result with only pre-game input. Our experiment results show that the proposed model achieves up to 12% higher accuracy than the existing ones.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551830","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

A Reconcile of Density Based and Hierarchical Clustering Based on the Laws of Physics 基于物理定律的密度聚类与层次聚类的调和

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377417

Nader Bazyari, H. Sajedi

引用次数: 0

Differential Privacy using Fuzzy Convolution Neural Network (DP-FCNN) with Laplace Mechanism and Authenticated Access in Edge Computing 边缘计算中基于拉普拉斯机制和认证访问的模糊卷积神经网络差分隐私

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377383

Jhilakshi Sharma, Donghyun Kim, Ahyoung Lee, Daehee Seo

引用次数: 1

Improving the Two-stage Detection of Cyberattacks in SDN Environment Using Dynamic Thresholding 利用动态阈值改进SDN环境下网络攻击的两阶段检测

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377395

Tao Wang, Yaokai Feng, K. Sakurai

{"title":"Improving the Two-stage Detection of Cyberattacks in SDN Environment Using Dynamic Thresholding","authors":"Tao Wang, Yaokai Feng, K. Sakurai","doi":"10.1109/IMCOM51814.2021.9377395","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377395","url":null,"abstract":"In recent years, the DDoS (Distributed Denial of Service) attack continues to be one of the most dangerous threats even in the SDN (Software Defined Networking) environment. Many approaches have been proposed to deal with the DDoS attacks in the SDN environment. Among those approaches, the two-step detection, in which a trigger mechanism is added before the detection algorithm is called, is gaining more and more attention. In other words, it is the trigger, not the resource-consuming detection algorithm, that constantly monitors network traffic. Thus, the detection algorithm is only called when it is triggered. However, in the existing two-step methods, the trigger uses a static threshold to determine whether or not to start the detection process. In practice, it is difficult to determine an appropriate threshold, and the threshold has a decisive effect on the frequency of the detection process being called and ultimately, it impacts detection performance. In this paper, we propose a self-feedback dynamic thresholding system in which the threshold used in the trigger is dynamically adjusted based on the previous results of trigger and detection. Experimental results and our discussion show that our proposal significantly reduces the number of calls to the resource-consuming detection algorithm with no sacrifice of detection result.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122806141","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

A Cluster Analysis of Lotte Young Plaza Using Semantic Network Analysis Method 用语义网络分析法对乐天青年广场的聚类分析

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377390

ShaoPeng Che, Dongyan Nan, Pim Kamphuis, Xinvu Jin, J. Kim

引用次数: 3

Manipulating Retinal OCT data for Image Segmentation based on Encoder-Decoder Network 基于编码器-解码器网络的视网膜OCT数据分割

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377406

Mingue Song, Yanggon Kim

{"title":"Manipulating Retinal OCT data for Image Segmentation based on Encoder-Decoder Network","authors":"Mingue Song, Yanggon Kim","doi":"10.1109/IMCOM51814.2021.9377406","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377406","url":null,"abstract":"Medical image analysis is consistently being researched in the computer vision in that it captures potential symptoms and enables more delicate diagnosis of patients. Based on the development of medical equipment such as optical coherence tomography(OCT) and magnetic resonance imaging(MRI), it is possible to analyze medical data with clearer and higher resolution than before. However, there are still many data that have limitations in manually diagnosis by human. Moreover, identifying the extent of the damaged retinal layer also remains one of the most challenging tasks since the damaged layer not only contains too many invisible layers, but it is too small. Normal OCT data has smooth layers while age-related macular degeneration(AMD) or diabetic macular edema(DME), which are classified as abnormal, has layers that are damaged by bleeding. The precise regional classification is required for the diagnosis and prescription of the damaged layers and a new approach to effectively training an irregular layer of abnormal data is also needed. Hence, this paper proposes an OCT data manipulation method as a preprocessing step to improve training boundaries of regional layers. The preprocessed data were generated by manual range using the proposed method and applied to the encoder-decoder networks, SegNet and Unet. The experiment shows that the preprocessed datasets were trained much faster than the original and the optimized range was also confirmed through comparison the results of preprocessed dataset by each range.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134584936","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

Deep Learning-Aided 5G Channel Estimation 深度学习辅助5G信道估计

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377351

An Le Ha, Trinh Van Chien, T. Nguyen, Wan Choi, V. Nguyen

引用次数: 31

A Geographical Object Extraction Method Using User's Trajectories for Generating Artificial Maps 一种利用用户轨迹生成人工地图的地理目标提取方法

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377367

Koki Ohtsuka, D. Kitayama, K. Sumiya, Kazushi Fujita, Goto Shin, Isshu Munemasa

引用次数: 0