2023 International Conference on Smart Applications, Communications and Networking (SmartNets)最新文献_第10页

Edge-based Battery Remaining Useful Life Estimation Using Deep Learning 基于深度学习的边缘电池剩余使用寿命估计

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215733

Christian Jay C. Adducul, John Rufino I. Macasaet, N. Tiglao

{"title":"Edge-based Battery Remaining Useful Life Estimation Using Deep Learning","authors":"Christian Jay C. Adducul, John Rufino I. Macasaet, N. Tiglao","doi":"10.1109/SmartNets58706.2023.10215733","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215733","url":null,"abstract":"Lithium-ion batteries are the most commonly used type of battery today that they are used from tiny electronic devices to large electric vehicles. As a result, there has been increasing attention on remaining useful life (RUL) estimation for lithium-ion batteries to predict their failure and ensure their safe operation. However, most research on battery RUL do not test their models to run on low-power edge nodes which are the logical target devices. In this paper, we developed a deep learning-based approach called Edge-Based RUL Estimation (EBRULE). EBRULE performs battery RUL prediction on an edge device. Four deep neural network architectures were trained on two data sets namely the NASA and CALCE datasets, using a GPU, and inference was done on a Raspberry Pi single board computer. The experimental results show that the models were able to make predictions with accuracy of 89% or more within seconds. Our work achieved 0.02-6.81% of RMSE and 0.8-5.67% of MAE. Moreover, the DeTransformer model improves upon the mean absolute error (MAE) and root mean-square error (RMSE) by as much as 71.95% and 77.31% respectively compared to the baseline DeTransformer method while the RNN model shows a reduction in MAE and RMSE by 78.89% and 90.77% respectively compared to the baseline RNN approach.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"7 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130381353","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

Wideband MIMO Antenna in the Shape of a Hand Grip 握把形状的宽带MIMO天线

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215989

Hussein Mohammed Naser, O. A. Al-Ani, K. S. Muttair, M. Mosleh, H. B. Taher

引用次数: 0

Software Defined Networking (SDN) for Campus Networks, WAN, and Datacenter 用于校园网、广域网和数据中心的软件定义网络(SDN)

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215722

Olubukola David, P. Thornley, Maryam Bagheri

{"title":"Software Defined Networking (SDN) for Campus Networks, WAN, and Datacenter","authors":"Olubukola David, P. Thornley, Maryam Bagheri","doi":"10.1109/SmartNets58706.2023.10215722","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215722","url":null,"abstract":"As the demand for internet and cloud services continues to grow, enterprise network infrastructures are becoming complex to manage. Methods of deployment and management of traditional network devices can become cumbersome and error prone as infrastructure complexity increases. Thus, the need for an easier but highly effective and secured networking approach to confront the growing demands of network environments is necessary. In recent years, software defined networking (SDN) became an effective way that supports the future of networking especially with the introduction of virtualization and cloud computing. The adoption of SDN concepts across different organizations, offers advantages resulting in the reduction of operational cost using simplified software, hardware, and management method. This paper reviews some of the current SDN solutions developed for campus networks, wide area networks (WANs) and datacenters identified by the Gartner Peer Insights reviews. A survey was also conducted to find out how these solutions have been adapted in different organizations.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131772853","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

Optimum Noise Mechanism for Probabilistic Differentially Private Queries in Discrete Finite Sets 离散有限集上概率差分私有查询的最优噪声机制

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215578

Sachin Kadam, A. Scaglione, Nikhil Ravi, S. Peisert, B. Lunghino, Aram Shumavon

{"title":"Optimum Noise Mechanism for Probabilistic Differentially Private Queries in Discrete Finite Sets","authors":"Sachin Kadam, A. Scaglione, Nikhil Ravi, S. Peisert, B. Lunghino, Aram Shumavon","doi":"10.1109/SmartNets58706.2023.10215578","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215578","url":null,"abstract":"Most published work on differential privacy (DP) focuses exclusively on meeting privacy constraints by adding to the query noise with a pre-specified parametric distribution model, typically with one or two degrees of freedom. The accuracy of the response and its utility for the intended use are often not part of the design. Considering that several database queries are categorical in nature (e.g., label, color, etc.), or discrete numerical data (e.g., ranking, histogram, etc.), or can be quantized to discrete values, the parameters that define the randomized mechanism’s distribution are finite. Thus, it is reasonable to search through numerical optimization for the probability masses that meet the privacy constraints while minimizing the query distortion. Considering the modulo summation of random noise as the probabilistic DP mechanism, the goal of this paper is to introduce a tractable framework to design the optimum noise probability mass function (PMF) for database queries with a discrete and finite set, optimizing with an expected distortion metric for a given privacy requirement. This paper shows that the optimum PMF can be obtained by solving a mixed integer linear program (MILP) and that the proposed optimal mechanism significantly outperforms the state-of-the-art.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130276740","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

Emerging Role of Artificial Intelligence in Addressing The Electricity Crisis 人工智能在解决电力危机中的新作用

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216210

N. Mulongo, K. Mushavhanamadi

引用次数: 0

Extracting Insights from Big Source Code Repositories with Automatic Clustering of Projects by File Names and Types 通过按文件名和类型自动集群项目从大型源代码存储库中提取见解

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215598

Yu. E. Yakhno, Selin Metin

{"title":"Extracting Insights from Big Source Code Repositories with Automatic Clustering of Projects by File Names and Types","authors":"Yu. E. Yakhno, Selin Metin","doi":"10.1109/SmartNets58706.2023.10215598","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215598","url":null,"abstract":"Software project delivery requires a set of related activities to be conducted. The output of these activities form a collection of unstructured data such as specifications, requirements, manuals, source code and packaging files which is stored in configuration management systems. Software repositories are infrastructures to support project management activities and can be composed with several systems that include code change management, bug tracking, code review, build system, release binaries, wikis, forums, etc. This large and variable data collection provides opportunities for text mining tasks which further can be utilized for software delivery or business intelligence related goals. The proposed approach uses machine learning methods to inspect large software repositories and classifies the results to propose insights to project managers as an aide to make strategic business decisions. In the present work every software project is described by a certain representation (vector or set of vectors), which is constructed from names and types of the files from project content. These representations are used to find clusters of similar projects in big code repositories and highlight specific properties of the found groups: most used names and types of the file.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134109895","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

Arabic Geo-Social Event Detection using a Hybrid Learning Architecture 使用混合学习架构的阿拉伯地理社会事件检测

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216180

Imad Afyouni, Baraa Kakah, Maissan Bazazeh

{"title":"Arabic Geo-Social Event Detection using a Hybrid Learning Architecture","authors":"Imad Afyouni, Baraa Kakah, Maissan Bazazeh","doi":"10.1109/SmartNets58706.2023.10216180","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216180","url":null,"abstract":"Modern smart cities are increasingly driven by citizens’ generated content over social media. More people in the Arab world than ever are using social networks and user generated content to express their thoughts and feedback on trending topics. With this increase in use, the demand has risen to be able to analyze data from social networks using the native Arabic language. Because Arabic is one of the most complex languages, this presents many challenges such as how to differentiate dialects, how to infer the semantics of sentences and even words, and what to do with the numerous diacritics involved in the language. In this paper, we discuss geo-social event detection from Arabic tweets without focusing on any dialect. We propose a hybrid learning architecture by using a deep learning model and a clustering technique to detect social events and map them to their spatial and temporal properties. Our system features a semantic keyword generation tool powered by AraBERT, which is used to prepare datasets for event classification. The classification process involves using both CNN and bidirectional LSTM techniques. To determine the location of events, we utilized a hierarchical density-based spatial clustering method. Experiments were performed on Twitter datasets to assess the system’s effectiveness and efficiency. The findings indicate that this hybrid approach for extracting spatio-temporal events is well-suited for detecting and tracking events in real-time from social media.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121926382","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

A Sentiment Analysis Approach for Identifying Users’ Security and Privacy Perception of Metaverse In Twitter 基于情感分析的Twitter用户安全与隐私感知识别方法

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215677

Mousa Al-kfairy, Ahmed Al-Adaileh, Mohammad Tubishat, O. Alfandi, Maitha BinAmro, Ayham Alomari

{"title":"A Sentiment Analysis Approach for Identifying Users’ Security and Privacy Perception of Metaverse In Twitter","authors":"Mousa Al-kfairy, Ahmed Al-Adaileh, Mohammad Tubishat, O. Alfandi, Maitha BinAmro, Ayham Alomari","doi":"10.1109/SmartNets58706.2023.10215677","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215677","url":null,"abstract":"Metaverse technology has gained the attention of researchers and professionals due to its numerous potential applications. It serves as a virtual world that connects people socially and offers them an immersive experience. However, we lack knowledge about how users perceive this technology, particularly regarding their optimism or pessimism towards it. Of specific concern is users’ feelings about their security and privacy in the virtual world. To address this gap, we analyzed over 300,000 tweets about Metaverse, including more than 1,000 tweets that mentioned security and privacy keywords. The study aimed to understand how people perceive Metaverse security and privacy by applying sentiment analysis to the collected tweets. The results indicate that approximately 59% of users had a positive view of their security in the Metaverse, while around 66% had a positive view of their privacy. However, the study revealed that people were uncertain about these two factors and raised legal and ethical concerns about the technology. The study’s findings highlight research and practical implications for the future development of the Metaverse.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619188","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

Integration of Industry 4.0 in the Metal Roofing Manufacturing Industry 工业4.0在金属屋面制造业中的整合

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215894

N. Mulongo, K. Mushavhanamadi, Avumile Fetsha

{"title":"Integration of Industry 4.0 in the Metal Roofing Manufacturing Industry","authors":"N. Mulongo, K. Mushavhanamadi, Avumile Fetsha","doi":"10.1109/SmartNets58706.2023.10215894","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215894","url":null,"abstract":"The study explores how the increasingly industry 4.0 technology can be integrated into the Metal manufacturing sector to increase production output so that the adequate capacity of a plant is achieved. The design methodology approach used in designing and gathering information is qualitative and has been divided into three critical stages; the first stage is using second-hand information that is already present in the organisation’s books; this gave me a clear depiction of how to structure my methodology. The second stage includes a framework to evaluate and analyse data and sort it so the information can follow a chronological order. The final stage confirms the choice of methodology by collecting extensive qualitative data through observation and semi-formal interviews with factory operators, managers, and researchers. The study's findings clearly depict a strong correlation between optimising 4.0 technologies and reaching production targets within the relevant range. The results show a positive influence on how the 4.0 technologies have an impact on employee satisfaction and improving the organisation’s sustainability by ensuring that proper training seminars are held on a monthly basis with the staff members so they can keep up with new 4.0 technological advancements.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132105710","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

Opportunistic RL-based WiFi Access for Aerial Sensor Nodes in Smart City Applications 智慧城市应用中空中传感器节点的机会式基于rl的WiFi接入

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215658

Mehmet Ariman, Lal Verda Çakır, Mehmet Özdem, B. Canberk

引用次数: 0