2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)最新文献_第2页

Mobile Deep Classification of UAE Banknotes for the Visually Challenged 阿联酋纸币的视觉障碍移动深度分类

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00053

A. Khalil, Maha Yaghi, Tasnim Basmaji, Mohamed Faizal, Z. Farhan, Ali Ali, Mohammed Ghazal

{"title":"Mobile Deep Classification of UAE Banknotes for the Visually Challenged","authors":"A. Khalil, Maha Yaghi, Tasnim Basmaji, Mohamed Faizal, Z. Farhan, Ali Ali, Mohammed Ghazal","doi":"10.1109/FiCloud57274.2022.00053","DOIUrl":"https://doi.org/10.1109/FiCloud57274.2022.00053","url":null,"abstract":"This paper proposes an artificial intelligence-powered mobile application for currency recognition to assist sufferers of visual disabilities. The proposed application uses RCNN, a pre-trained MobileNet V2 convolutional neural network, transfer learning, hough transform, and text-to-speech reader service to detect and classify captured currency and generate an auditory signal. To train our AI model, we collect 700 ultra-high definition images from the United Arab Emirates banknotes. We include the front and back faces of each banknote from various distances, angles, and lighting conditions to avoid overfitting. When triggered, our mobile application initiates a capture of an image using the mobile camera. The image is then pre-processed and input to our on-device currency detector and classifier. We finally use text-to-speech to change the textual class into an audio signal played on the user’s Bluetooth earpiece. Our results show that our system can be an effective tool in helping the visually challenged identify and differentiate banknotes using increasingly available smartphones. Our banknote classification model was validated using test-set and 5-fold cross-validation methods and achieved an average accuracy of 70% and 88%, respectively.","PeriodicalId":349690,"journal":{"name":"2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126625285","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

Measure It Yourself - Why Smart Cities Need Custom Weather Data Sources 测量它自己-为什么智能城市需要自定义天气数据源

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00037

Raphaela Erbel, Philipp Brune

引用次数: 1

Towards Possibilities of Energy Minimization in Consensus and Mining Paradigm 论共识与挖掘范式中能量最小化的可能性

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00045

Lydia Ouaili, S. Banerjee, Elena Kornyshova

引用次数: 0

Distributed Synchronous Particle Swarm Optimization for Edge Computing 面向边缘计算的分布式同步粒子群优化

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00027

Riccardo Busetti, Nabil El Ioini, H. Barzegar, C. Pahl

{"title":"Distributed Synchronous Particle Swarm Optimization for Edge Computing","authors":"Riccardo Busetti, Nabil El Ioini, H. Barzegar, C. Pahl","doi":"10.1109/FiCloud57274.2022.00027","DOIUrl":"https://doi.org/10.1109/FiCloud57274.2022.00027","url":null,"abstract":"The wide adoption of edge computing has introduced several issues such as load balancing, resource provisioning, and workload placement as optimization problems. Particle swarm optimization (PSO) is a nature-inspired stochastic optimization algorithm, whose objective is to iteratively improve the solution of a problem over a given objective. The distribution of PSO to the edge would result in the transfer of resource-intensive computational tasks from the cloud to the edge, leading to more efficient use of existing resources. However, it introduces challenges related to performance and fault tolerance, due to the resource-constrained edge environment with a high probability of faults. We introduce multiple distributed synchronous variants of the PSO algorithm built on top of the Apache Spark distributed computing framework and Kubernetes container orchestration platform. These variants of the algorithm aim at addressing the performance and fault tolerance problems introduced by the execution in an edge network. A PSO algorithm that distributes the load across multiple executor nodes can effectively realize coarse-grained parallelism, thus can obtain a significant increase in performance, but also more fault tolerance and scalability.","PeriodicalId":349690,"journal":{"name":"2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115174026","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

Infrastructure Capability Aggregation and Exposure in Cloud Environments 云环境中的基础设施功能聚合和公开

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00043

Ákos Recse, Romicronbert Szabomicron, Carla Mouradian, Wubin Li

引用次数: 0

Sabine: Self-Adaptive BlockchaIn coNsEnsus Sabine:自适应区块链共识

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00039

Guilain Leduc, S. Kubler, J. Georges

{"title":"Sabine: Self-Adaptive BlockchaIn coNsEnsus","authors":"Guilain Leduc, S. Kubler, J. Georges","doi":"10.1109/FiCloud57274.2022.00039","DOIUrl":"https://doi.org/10.1109/FiCloud57274.2022.00039","url":null,"abstract":"The Practical Bizantine Fault Tolerance (PBFT) consensus is a well adopted consensus protocol in private and consortium blockchains, the reason being that it is a light protocol, it is not computational intensive (particularly when compared to proof-based consensus protocols), and it allows to reach high transaction throughput. Security in this consensus depends on the number of nodes (aka validators) involved in the consensus: the higher the number of nodes, the higher the security level. However, increasing the number of validators goes along with an increase in the latency, and consequently a decrease in the throughput. The present research proposes a new SelfAdaptive BlockchaIn coNsEnsus protocol (Sabine), which tries to optimally address this trade-off by continuously adapting the size of the pool of validators with the prime objective that the output throughput (i.e., number of transactions validated at a given time) meets –to the best extent possible - the input throughput (i.e., requested by the application). Sabine is evaluated and validated in real-life settings, whose results show that Sabine has a relative error of 7.79% between the requested and committed transaction throughput, compared to 39.5% for a classic chain with all nodes participating in the consensus, implying a more reactive chain, with less latency.","PeriodicalId":349690,"journal":{"name":"2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124582473","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

Data center disaggregation: when and how much? 数据中心分解:何时分解，分解多少?

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00016

Thomas Begin, A. Brandwajn, A. Tchana

引用次数: 0

Mobile Phone Data Usage Analysis Among Youth Studying at Universities 大学生手机数据使用情况分析

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00048

M. S. Sharif, W. Elmedany, Godwin Onyewumbu

{"title":"Mobile Phone Data Usage Analysis Among Youth Studying at Universities","authors":"M. S. Sharif, W. Elmedany, Godwin Onyewumbu","doi":"10.1109/FiCloud57274.2022.00048","DOIUrl":"https://doi.org/10.1109/FiCloud57274.2022.00048","url":null,"abstract":"The obsessive growth of mobile devices across generations, low-cost smartphones, faster transmission speeds, and cheaper data plans have provided a clear landscape of various data footprints and defined patterns of use. This research paper investigates the penetration pattern of mobile phone data usage among students attending Nigerian universities. It used a quantitative research approach with data collected from 400 randomly chosen students at two main universities. This research work focused on the analysis data from the social and communications aspects of social networking platforms. Considering the use of mobile phones for a wide range of online activities, it was found that participants had service preferences when subscribing to one of the four major mobile network operators in Nigeria (MTN, 9Mobile, Airtel, and Globacom). The results show that the students use the mobile handsets primarily for calls, communications, accessing the web, and instant messaging on social media platforms. They also use their phones for other data-heavy options such as streaming music and movies. Their obsessive behaviors and time spent on social media applications reveal a consistent pattern of using their phones for entertainment rather than academic activities. The predictive analysis from the study confirms an insatiable need among youth for data-intensive applications on mobile phones. Moreover, the various mobile network providers must offer a balance of mobile phone capabilities to accommodate all-inclusive academic and career-related subscription services for customers.","PeriodicalId":349690,"journal":{"name":"2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122816658","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

Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach 边缘数据驱动分析任务管理:一种模糊推理方法

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00019

Tahani Aladwani, Ibrahim A. Alghamdi, Kostas Kolomvatsos, C. Anagnostopoulos

{"title":"Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach","authors":"Tahani Aladwani, Ibrahim A. Alghamdi, Kostas Kolomvatsos, C. Anagnostopoulos","doi":"10.1109/FiCloud57274.2022.00019","DOIUrl":"https://doi.org/10.1109/FiCloud57274.2022.00019","url":null,"abstract":"Dynamic data-driven applications such as tracking and surveillance have emerged in the Internet of Things (IoT) environments. Such applications rely heavily on data generated by connected devices (e.g., sensors). Consequently, leveraging these data in building data-driven predictive analytics tasks improves the Quality of Service (QoS) and, as a result, Quality of Experience (QoE). Such data support various data-driven tasks such as regression and classification. Analytics tasks require data and resources to be executed at the edge since transferring them to the cloud negatively affects response times and QoS. However, the network edge is characterized by limited resources compared to the cloud, being the subject of constraints that are violated upon offloading data-driven tasks to improper edge nodes. We contribute with an analytics task management mechanism based on the context of the requested data, the task delay sensitivity, and the VM utilization. We introduce a novel Fuzzy inference mechanism for determining whether data-driven tasks should be executed locally, offloaded to peer edge servers, or sent to the cloud. We showcase how our fuzzy reasoning mechanism efficiently derives such decisions by calculating the offloading probability per task. The derived optimal actions are compared against benchmark models in Edge Computing (EC).","PeriodicalId":349690,"journal":{"name":"2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124022649","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

Energy Consumption Characterization in University Campus Microgrid Based on Power Data Analysis 基于功率数据分析的高校校园微电网能耗表征

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2022-08-01 DOI: 10.1109/FiCloud57274.2022.00022

Imad Hajjaji, H. E. Alami, Rafiq El Alami, H. Dahmouni

{"title":"Energy Consumption Characterization in University Campus Microgrid Based on Power Data Analysis","authors":"Imad Hajjaji, H. E. Alami, Rafiq El Alami, H. Dahmouni","doi":"10.1109/FiCloud57274.2022.00022","DOIUrl":"https://doi.org/10.1109/FiCloud57274.2022.00022","url":null,"abstract":"This paper presents the analysis of the consumption of electrical power in the university Campus Microgrid throughout one year. This research is conducted to fully understand our data and interpret the daily consumption of energy and its fluctuations for the different profiles. In our study, we analyze power consumption of five different buildings within the university campus: Teacher’s office and labs, Classrooms, Restaurant, Exterior Lighting and, Student Room (Girls-ground floor). Each type of energy consumption is described by observations, graphs, plots and conclusions that properly highlight the most efficient characteristics. The paper begins with a description of the smart meters helping us record consumption history that constitutes our data. Data cleaning is one of the important steps before using the data. In this study, we begin with a general description of the aspects of consumption, using graphs in this way to clearly show the different changes. We then present our own interpretations of these changes in order to provide a general understanding of the energy load consumption.","PeriodicalId":349690,"journal":{"name":"2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116289336","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