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2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)最新文献

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SCBIoT: Smart Cane for Blinds using IoT SCBIoT:使用物联网的智能手杖
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781728
D. Abdelminaam, Ibraheem Abd-Elatief Ahmed, Fatma Sakr
{"title":"SCBIoT: Smart Cane for Blinds using IoT","authors":"D. Abdelminaam, Ibraheem Abd-Elatief Ahmed, Fatma Sakr","doi":"10.1109/MIUCC55081.2022.9781728","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781728","url":null,"abstract":"The old concept of the cane makes no sense in the current technological advancement, as the revolution of smart devices urges us to create a more reliable and more adaptive way to help disabled people. In this paper; we developed intelligent cane that aims to make a more comfortable trip for the visually challenged people. Besides its ultra-sonic sensors, which help to detect obstacles from far away, we decided to make use of the new revolutionary IoT definition. The cane gets connected to the Wi-Fi hotspot of the android phone. It sends a periodic mail with the location of the cane holder using the equipped GPS module on the cane to inform the relatives of the person of his site in case of any emergency. Also, the vibrators beside the buzzer help more with sensing and adequately warn the holder of any obstacles. There is also a LED strip to light up the way and warn the people of the holder's instructions. The proposed solution prove the Superior and cheapest solution for blinds.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115265449","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
Multi-Organ Auto-segmentation using Deep Learning approaches for head and neck section for Cancer treatment 基于深度学习方法的多器官自动分割头颈部肿瘤治疗
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781779
Ahmed Salah, M. Abd-Elaziz, Muhammed Ibrahim Abbas, Youssef Hesham Sayed, Zeyad Mohammed Elsahaer, M. M. Eissa, Soha Ahmed, Ghada Khoriba
{"title":"Multi-Organ Auto-segmentation using Deep Learning approaches for head and neck section for Cancer treatment","authors":"Ahmed Salah, M. Abd-Elaziz, Muhammed Ibrahim Abbas, Youssef Hesham Sayed, Zeyad Mohammed Elsahaer, M. M. Eissa, Soha Ahmed, Ghada Khoriba","doi":"10.1109/MIUCC55081.2022.9781779","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781779","url":null,"abstract":"Cancer treatment using radiotherapy has been drawing the attention of biomedical researchers. Radiotherapy treatment requires specialists to contour the tumor and organs at risk (OARs) which is a time-consuming task. Manual contouring is repetitious and vulnerable to human mistakes. This leads to a decrease in the number of patients treated daily. The previously stated facts have motivated researchers to channel their efforts into auto-segmentation methods for the automation of tumor contouring. Auto-segmentation architectures play a vital role in reducing the enormous workload faced by medical personnel. In our case, we developed our proposed Res-U-Net which is based on the U-Net architecture. The used dataset was the MICCAI dataset which consists of 9 organ's CTs each having its own ground truth. In our approach, we concatenated the organ's masks altogether making it a multiclass segmentation problem. Our proposed Res-U-Net achieved 95.68% dice coefficient (DSC).","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114424713","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
[Blank page] (空白页)
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/miucc55081.2022.9781648
{"title":"[Blank page]","authors":"","doi":"10.1109/miucc55081.2022.9781648","DOIUrl":"https://doi.org/10.1109/miucc55081.2022.9781648","url":null,"abstract":"","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121447370","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
Privacy by Design: A Microservices-Based Software Architecture Approach 隐私设计:一种基于微服务的软件架构方法
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781685
Bahgat Mashaly, Sahar Selim, A. Yousef, K. Fouad
{"title":"Privacy by Design: A Microservices-Based Software Architecture Approach","authors":"Bahgat Mashaly, Sahar Selim, A. Yousef, K. Fouad","doi":"10.1109/MIUCC55081.2022.9781685","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781685","url":null,"abstract":"Data privacy regulations have increased significantly recently. As a result, privacy by design (PbD) has become a critical consideration for enterprises that handle personal data. PbD is no longer a plain principle. Rather than that, the General Data Protection Regulation (GDPR) addresses PbD as a required legal requirement for controllers who may face fines for non-compliance with the GDPR. In this paper, we propose a practical solution, “PbD Microservice,” that can help organizations to achieve privacy regulatory compliance. We will focus on GDPR, one of the most important regulations that provides a high level of protection and control over personal data. The proposed solution depends on a microservices-based software architecture approach, which bridges the gap between data privacy regulation requirements from one side, and the system architecture and design, from the other. Moreover, the provided practical solution complies with the PbD and GDPR principles.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125098384","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
Gender Classification from Tweets Using LSTMs and Transformers 基于lstm和transformer的推文性别分类
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781702
Omar Alaaeldein
{"title":"Gender Classification from Tweets Using LSTMs and Transformers","authors":"Omar Alaaeldein","doi":"10.1109/MIUCC55081.2022.9781702","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781702","url":null,"abstract":"With the rise of social media platforms and personalised Web 2.0, the study of sociolinguistic factors in text such as gender bias has had a huge influx of new data from users that has since been used by consumer-based organizations for data analytics to streamline their digital models and cluster their customers to better cohort their services, and by social scientists and linguistics researchers to further improve their hypotheses and work. In this work, I have gathered data from the social media platform “Twitter”, and used existing data from the web and preprocessing it to train and develop 7 different models for Gender Classification based on short snippet of text using LSTMs and Transformers in conjunction with other techniques including transfer learning using feature extraction and fine-tuning. The results and statistics of the models are discussed, and illustrated in confusion matrices, and a discussion/comparison between the 7 models is performed.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123635774","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
CPSMP_ML: Closing price Prediction of Stock Market using Machine Learning Models CPSMP_ML:基于机器学习模型的股票市场收盘价预测
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781756
Diaa Salama Abd Elminaam, A. E. Tanany, M. A. Salam, Mohamed Abd El Fattah
{"title":"CPSMP_ML: Closing price Prediction of Stock Market using Machine Learning Models","authors":"Diaa Salama Abd Elminaam, A. E. Tanany, M. A. Salam, Mohamed Abd El Fattah","doi":"10.1109/MIUCC55081.2022.9781756","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781756","url":null,"abstract":"Predicting stock market returns is difficult due to financial stock market volatility and non-linear structure. Programmable prediction methods are more efficient in predicting stock values since the emergence of artificial intelligence and increasing processing power. K-Nearest Niebuhr (KNN), Random Forests (RF), Linear Regression (LR), and Gradient Boosting (GB) are used in this study. Three companies from various industries were studied to see how well they could forecast the next day's closing price. The prototype Standard strategic metrics such as R2 Demonstrate that the models are capable of accurately predicting stock closing prices., RMSE and MAE are used to assess the models. These three indicators have low values.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123648983","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: 5
EVASS: Emotional Variational End-to-End Speech Synthesis with Semi-Supervised and Adverserial Learning 基于半监督和广告学习的情感变分端到端语音合成
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781718
Mohamed Osman
{"title":"EVASS: Emotional Variational End-to-End Speech Synthesis with Semi-Supervised and Adverserial Learning","authors":"Mohamed Osman","doi":"10.1109/MIUCC55081.2022.9781718","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781718","url":null,"abstract":"Communicating one's inner state - their emotions and feelings - forms one of the core principles of social communication and behavior in humans. Emotion is an important component of speech, and its inclusion in synthetic speech will allow for breakthroughs in applications like human-machine interfacing, e-book reading, and voice acting. However, modelling emotions in speech in an end-to-end manner has so far remained an under-explored topic of research. To address this, we experiment with novel methods in global emotional modelling in unsupervised, semi-supervised and adverserial contexts using an end-to-end text-to-speech (TTS) architecture. We condition the latent space, duration prediction and audio generation on novel hybrid labels based on ground truth data – 14 emotion labels, 64 sentiment analysis labels, and speaker labels - which may be inferred from input text during inference. Experiments on conditional discriminators were also performed. The final proposed model produces high quality expressive results comparable to the state of the art.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117026884","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
Deep Reinforcement Learning based Video Games: A Review 基于深度强化学习的电子游戏:综述
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/MIUCC55081.2022.9781752
K. Eldahshan, H. Farouk, Eslam Mofreh
{"title":"Deep Reinforcement Learning based Video Games: A Review","authors":"K. Eldahshan, H. Farouk, Eslam Mofreh","doi":"10.1109/MIUCC55081.2022.9781752","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781752","url":null,"abstract":"Video game development is getting increasingly effective as AI paradigms advance. Deep Reinforcement Learning (DRL) is a promising artificial intelligence (AI) approach. It broadens the reinforcement learning paradigm by making use of the complicated representation of deep neural networks. According to recent research, DRL performs extraordinarily well across a variety of sectors, including healthcare, video games, robotics, finance, and medicine. In this article, we provide a complete review of current and cutting-edge research developments in deep reinforcement learning in video games. This review starts by discussing the principles of reinforcement and deep reinforcement learning. Then investigate and assess essential strategies such as value-based, policy gradient, and model-based algorithms in this work. Finally, discusses a set of research challenges of DRL in video games.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126815883","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: 5
Session 01 会话01
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) Pub Date : 2022-05-08 DOI: 10.1109/miucc55081.2022.9781740
{"title":"Session 01","authors":"","doi":"10.1109/miucc55081.2022.9781740","DOIUrl":"https://doi.org/10.1109/miucc55081.2022.9781740","url":null,"abstract":"","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116760929","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
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