2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献_第9页

Individual Tree Crown Detection using GAN and RetinaNet on Tropical Forest 基于GAN和retanet的热带森林树冠检测

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377360

Zhafri Hariz Roslan, Zalizah Awang Long, R. Ismail

{"title":"Individual Tree Crown Detection using GAN and RetinaNet on Tropical Forest","authors":"Zhafri Hariz Roslan, Zalizah Awang Long, R. Ismail","doi":"10.1109/IMCOM51814.2021.9377360","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377360","url":null,"abstract":"The detection performance of tree crowns in forest environment has not been satisfactory compared to common objects, especially using aerial RGB imagery. Previous methods regarding Individual Tree Crown Detection (ITCD) utilizes different data sources to improve the detection rate due to the noisy image. Image enhancement methods such as super-resolution provide a solution to the noisy image by reconstructing the image using the low-resolution image. Generative Adversarial Network (GAN)-based model has shown success in super-resolution techniques. However, the GAN-based model created artefacts that may hinder the accuracy of the detection. In this paper, a noise-cancelling GAN-based model is proposed by averaging the weights of a compressed image and non-compressed image. The proposed method forces the network to discriminate the noise to generate a more photorealistic image. This method is inspired by super-resolution GAN (SRGAN) architecture with Residual Dense Network as the generator network. A two-stage object detection RetinaNet model is then used to detect the individual tree crowns in a sequential fashion. Extensive experiments have been conducted on a self-assembled tree crown dataset which showed the proposed model is more superior than a non-enhanced model with 0.6017 and 0.5908 respectively. Based on the results of the proposed method, the super-resolution technique can be used in conjunction with object detection algorithm to improve the detection in ITCD to improve the detection rate.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"39 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":"125207598","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

Machine Learning for Prediction of Imbalanced Data: Credit Fraud Detection 预测不平衡数据的机器学习:信用欺诈检测

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377352

Thanh Cong Tran, T. K. Dang

引用次数: 7

Generative Adversarial Networks for Retinal Image Enhancement with Pathological Information 基于病理信息的视网膜图像增强生成对抗网络

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377363

Quang T. M. Pham, Jitae Shin

引用次数: 0

Method for Changing Users' Attitudes Towards Fashion Styling by Showing Evaluations After Coordinate Selection 通过坐标选择后的评价来改变用户对时尚造型态度的方法

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377430

Yuichi Chiken, D. Kitayama

{"title":"Method for Changing Users' Attitudes Towards Fashion Styling by Showing Evaluations After Coordinate Selection","authors":"Yuichi Chiken, D. Kitayama","doi":"10.1109/IMCOM51814.2021.9377430","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377430","url":null,"abstract":"When users perform a fashion coordination search, they tend to select their “preferred styles,” or styles that match their personal tastes, from among the search results. However, for effective fashion coordination, it is also important for one's fashion style to not only be suited to one's own preferences but also be highly evaluated by other people. In this paper, we propose a method that displays the evaluation values, such as the number of favorites, of fashion coordinates in the search results not when the search results are first displayed, but after the user has selected his/her preference from among the search results. The purpose of this method is to emphasize the difference between how a user perceives his/her own preference and how it is evaluated by other people, and to help users become aware of the differences between their preferred styles and others' preferences and perceptions. In this study, we implemented a system for fashion coordination search wherein the inputs are the desired items and styles from the user. In addition, we designed an experiment wherein we would vary the presentation timing of metadata such as user evaluation and style information in the search results. This experimentation method would clarify the effect of the system on changing users' attitudes toward fashion styling with respect to the timing of the presentation of user evaluation scores.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"29 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":"114462931","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

Comparing the Impact of Service Quality on Customers' Repurchase Intentions Based on Statistical Methods and Artificial Intelligence-Taking an Automotive Aftermarket (AM) Parts Sales Company as an Example 基于统计方法和人工智能的服务质量对顾客再购买意愿的影响比较——以某汽车后市场(AM)零部件销售公司为例

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377415

Li-Hua Li, Chang-Yu Lai

{"title":"Comparing the Impact of Service Quality on Customers' Repurchase Intentions Based on Statistical Methods and Artificial Intelligence-Taking an Automotive Aftermarket (AM) Parts Sales Company as an Example","authors":"Li-Hua Li, Chang-Yu Lai","doi":"10.1109/IMCOM51814.2021.9377415","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377415","url":null,"abstract":"In today's rising consumer awareness, companies are paying more and more attention to customer satisfaction. In order to survive in a fiercely competitive environment and maintain their competitive advantages, the only way to continuously provide consumers with high-quality services is the key to the sustainable operation of modern enterprises. The purpose of this research is focusing on the impact of service quality for automotive aftermarket parts and customers' willingness to repurchase. In this study, 400 questionnaire invitations through e-mail were distributed to existing customers and 164 valid questionnaires were responded. The responded answers were encoded, filed, and verified using SPSS. Degree and validity analysis, narrative statistics, single factor analysis of variance (ANOVA), regression analysis and structural equation modeling were applied for analysis. Through empirical analysis, there are many findings: Sales Service & Marketing, R&D capabilities, and innovative services in service quality are positively and significantly related to customers' willingness to repurchase. In the single factor variation analysis and structural equations, it is found that the impact of customer type on service quality and customer repurchase intention is not significantly related. In this study, Artificial Intelligence (AI) was also applied to compare the impact of service quality and to build the prediction model for customer repurchasing. These AI techniques include decision tree, neural network models, and multiple-linear regression. It is concluded that Artificial Neural Networks (ANN) have better predictive ability after training with sufficient data and proper input data. For decision tree and regression analysis, these models' predicting power will decrease when the data becomes more complex.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"57 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":"124813142","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

Predicting who will benefit from relaxation or stress reduction through virtual reality 通过虚拟现实预测谁将受益于放松或减轻压力

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377387

Hyewon Kim, H. Jeon

{"title":"Predicting who will benefit from relaxation or stress reduction through virtual reality","authors":"Hyewon Kim, H. Jeon","doi":"10.1109/IMCOM51814.2021.9377387","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377387","url":null,"abstract":"Although the attempts to use virtual reality (VR) for stress reduction or relaxation are increasing, the evidence on who will benefit is still lacking. In this study, we aimed to identify the clinical and physiological predictors for effectiveness of stress reduction or relaxation using VR. 83 healthy, but highly stressed adults were enrolled for the study. At baseline, demographic information and medical history were collected and physiological parameters including heart rate variability were extracted. Subjects were evaluated subjective discomfort using the State-Trait Anxiety Inventory-X-1, the 0–100 Numeric rating scale repetitively throughout the VR application. To identify the predictors for the effectiveness of VR relaxation, correlation analyses and multivariate regression analyses were conducted. As results, we found that smoking is negatively associated with the effectiveness of VR relaxation and baseline subjective discomfort, respiratory rate and heart rate are positively associated with the effectiveness of VR relaxation. This suggest that the effect of VR relaxation is large in people with high respiratory rate and heart rate, and that the effect is reduced in smokers.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"28 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":"121926187","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

A Feature Selection Based DNN for Intrusion Detection System 基于特征选择的深度神经网络入侵检测系统

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377405

Li-Hua Li, Ramli Ahmad, Weng-Chung Tsai, Alok Kumar Sharma

{"title":"A Feature Selection Based DNN for Intrusion Detection System","authors":"Li-Hua Li, Ramli Ahmad, Weng-Chung Tsai, Alok Kumar Sharma","doi":"10.1109/IMCOM51814.2021.9377405","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377405","url":null,"abstract":"The goal of networking has the idea of “resource sharing” and “communication” in a convenient way. However, more convenience services are provided, more problems of security and privacy issues may occur. In order to prevent these problems, an IDS (Intrusion Detection System) is designed to enhance the network security and to observe abnormal behavior. Model accuracy and the training time required to build the model are affected greatly if we use the unselected features and irrelevant data. This is the reason why the selection of features is a significant process in building an Intrusion Detection System (IDS). This paper aims to boost the Deep Neural Network (DNN) capabilities by selecting the feasible features before processing networking data. This research employed the KDD Cup 99 dataset which is considered as one of the representative datasets for intrusion detection. Based on our experimental results, it is concluded that the selection of the proper features has effects on the improvement of IDS compared to the method without feature selection. This research has proved that the improvement of DNN for IDS can reach up to 99.4% for accuracy, 99.7% for precision, 97.9% for recall, and 98.8 for F1 score.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 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":"127570361","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: 7

Document Embedding using piped ELM-GAN Model 基于管道ELM-GAN模型的文档嵌入

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377413

Arefeh Yavary, H. Sajedi

引用次数: 0

Bangla Handwritten Word Recognition System Using Convolutional Neural Network 基于卷积神经网络的孟加拉语手写词识别系统

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377410

Md. Tanvir Hossain, Md. Wahid Hasan, A. Das

引用次数: 7

FTTH Zero-Touch Multi-Service Provisioning on CORD-Based Access Network Virtualization Platform 基于cord接入网虚拟化平台的FTTH零接触多业务发放

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2021-01-04 DOI: 10.1109/IMCOM51814.2021.9377435

Tri Trinh, N. V. Bang, Manabu Yoshino, H. Suzuki, Nguyen Huu Thanh

引用次数: 1