2023 International Conference on Smart Applications, Communications and Networking (SmartNets)最新文献_第2页

Aχon: IoT Attribute-based dynamic connector For Emergency Applications Aχon:用于紧急应用的基于物联网属性的动态连接器

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215654

Mohamad Ghandour, H. Mcheick, M. Dbouk

{"title":"Aχon: IoT Attribute-based dynamic connector For Emergency Applications","authors":"Mohamad Ghandour, H. Mcheick, M. Dbouk","doi":"10.1109/SmartNets58706.2023.10215654","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215654","url":null,"abstract":"Internet of Things (IoT) paradigm-based applications are becoming essential in our daily lives in smart houses, medical equipment, agriculture, industries, smart cities, and other fields. While building an IoT system, architects and developers use distributed architectures where the system is a set of interoperated components by connectors. Different limitations incur the development of a connector in IoT devices, i.e., connectivity and internal resources. The reason is that each service needs an exclusive allocation of the device’s storage, memory, and processing power which makes running multiple services on the same device cumbersome. In this research, we design a generic \"Software Connector\" that aims to optimize the use of the device’s resources. The proposed connector will dynamically allocate and deallocate necessary resources at runtime when receiving a message, and it will adapt its behavior based on a set of attributes obtained from the local database and the incoming messages. The connector improves messages’ reliability by following the broadcast-default function, especially in case of network failure. We applied the proposed approach to an \"Emergency Response System\" with different IoT device types, describing an emergency scenario to validate the proposed approach. More ever, to make the proposed connector more accessible for developers to extend its functionalities and increase the number of supported platforms, we will commit it to an online repository.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"28 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":"124556506","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

Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks 利用空间相关性:安全物联网设备网络的组密钥生成

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216109

Mohammed Omar, A. Badawy, Khalid Abulsaud, Elias Yaacoub, M. Guizani

引用次数: 0

A Smart Desk: A Smart Solution for Young Students 智能书桌:年轻学生的智能解决方案

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216118

Ahmed Shuhaiber, Rund Hiyasat, Amjad Abuelsamen, Nasreen Ghanem, Mouza Alhammadi, Alreem Alghafri

{"title":"A Smart Desk: A Smart Solution for Young Students","authors":"Ahmed Shuhaiber, Rund Hiyasat, Amjad Abuelsamen, Nasreen Ghanem, Mouza Alhammadi, Alreem Alghafri","doi":"10.1109/SmartNets58706.2023.10216118","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216118","url":null,"abstract":"Boredom while doing homework is a common problem faced by young school students. This can affect their learning progress and achievements. On the other hand, toddlers and young children are becoming more and more experience with technology. This paper aims towards taking advantage of kids’ vast experience with technology to better achieve learning outcomes; thereby, developing a smart desk that can smartly check for progress, entertain student while studying, and provide comfort to young users and their parents for daily learning activities. The methodology followed to develop this smart desk is the waterfall SDLC, where a system is developed, analyzed, designed and initially implemented. More precisely, requirements were gathered, modeled, and analyzed, the interfaces and databases were designed, coding and testing took place subsequently. The desk’s features include following up with students’ homework, measuring students’ learning progress based on the scheduled tasks, cheering students when achieving a milestone, alerting for time breaks and more. The smart desk is also a friendly to-use system for juniors. Further, schools and academic institutions can embrace the new technology, thus benefitting from the gains of having a smart desk. The study concluded with implications and future development directions.","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":"117041943","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

Intellitell: A Web-based Storytelling Platform for Emotion Recognition with Machine Learning Intellitell:一个基于网络的基于机器学习的情感识别故事平台

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216042

A. Argel, Madeleine M. Ragmac, Markus Elija Thomas E. Lindo, N. Tiglao

{"title":"Intellitell: A Web-based Storytelling Platform for Emotion Recognition with Machine Learning","authors":"A. Argel, Madeleine M. Ragmac, Markus Elija Thomas E. Lindo, N. Tiglao","doi":"10.1109/SmartNets58706.2023.10216042","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216042","url":null,"abstract":"Remote learning is relatively new for the education sector and is proving to be a challenge. Preschoolers are in a stage where they are highly active, and making sure that they are immersed in their educational activities is important. However, surveys and studies have shown that many students are not engaged in module-based distance learning methods. Higher engagement has been associated with higher emotional investment and higher chances of receiving positive learning outcomes. The goal of this paper was to develop a web-based storytelling platform, Intellitell, that gathered data on the student’s engagement. The paper assessed a preschooler’s engagement by gathering their emotional response using faceAPI.js during a storytelling activity using emotion match accuracy as a defining metric. The results showed that the emotion match accuracy of the students using the Intellitell webapp was 80.16% for defined data points. Further analysis showed that the ground truth is susceptible to distractions due to the low sample size, and classifying emotions that are similar like surprised and fearful is inconsistent without prior context to stimuli.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"40 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":"116287373","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

Towards an Infrastructure and Architecture of Nanotechnology in Agriculture for Abu Dhabi 面向阿布扎比农业纳米技术的基础设施和体系结构

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215618

Salama Alhameli, Amna Almazrouei, Amal Almenhali, Ahmed Shuhaiber

{"title":"Towards an Infrastructure and Architecture of Nanotechnology in Agriculture for Abu Dhabi","authors":"Salama Alhameli, Amna Almazrouei, Amal Almenhali, Ahmed Shuhaiber","doi":"10.1109/SmartNets58706.2023.10215618","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215618","url":null,"abstract":"Nanotechnology and Nano biosensors in agriculture effectively assess major elements, such as soil Ph, ions sound in the soil, and germination components, crucial in ensuring that the plants have higher germination rates that lead to healthy plants, thus contributing to higher yields. The nano biosensors comprise of three main elements: the probe, Transducer, and detector, which are interconnected to ensure that all information acquired from the target object is processed and interpreted for further decision-making processes. Population in Abu Dhabi is continuously increasing. That is why there is a dire need for the incorporation of new technological innovations to ensure that the agricultural lands can produce higher yields in order to meet the growing food demand. The applicability of the nanotechnology infrastructure in Abu Dhabi will be assessed through qualitative research, where the researcher will assess diverse literature sources as well as views from target respondents. The research process will also lead to possible limitations that will lead to future research suggestions.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"4 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":"129607084","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

Towards symbolic representation-based modeling of Temporal Knowledge Graphs 基于符号表示的时态知识图建模研究

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215541

Siraj Munir, S. Ferretti

引用次数: 0

A Novel Graph-Based Energy Efficient Sensor Selection Scheme in Edge Computing 一种新的基于图的边缘计算节能传感器选择方案

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216179

Mohammad Soleimanikia, O. Bushehrian, Davood Mahmoodi

引用次数: 0

FPGA-based tunable Keccak core 基于fpga的可调谐Keccak核心

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215714

A. Maache, Abdesattar Kalache

{"title":"FPGA-based tunable Keccak core","authors":"A. Maache, Abdesattar Kalache","doi":"10.1109/SmartNets58706.2023.10215714","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215714","url":null,"abstract":"Nowadays’ great emphasis on data security has led to a great need for hardware accelerated cryptograhic algorithms to cope with the high communication bandwidth demand. These hardware accelerators need to be highly tunable in order to support multiple operation modes for different security applications. In this paper, a Field Programmable Gate Array (FPGA)-based design and implementation of a tunable Keccak core is presented. The Keccak core’s performance and security parameters are configurable in the sense that bitrate, capacity, and the number of rounds can be user-specified with an extendable output length. Keccak’s sponge construction is exploited to enable different modes of operation. This level of flexibility makes the core a suitable fit for a large range of security requirements and applications. The implemented core can be operated as a sponge-based Pseudo Random Number Generation (PRNG). The design was implemented in VHDL (VHSCI Hardware Description Language) targeting a low-cost IntelFPGA Cyclone-V. The core achieved the following maximum throughput figures of: 11, 8.4, and 5.81Gbps for the three Secure Hash Algorithm-3 (SHA-3) variants 256, 384, and 512-bit respectively, while occupying only 8% of the FPGA’s area. The random sequences generated by the sponge-based PRNG successfully passed the National Institute of Standards and Technology (NIST) test suite. This paper demonstrated respectable area/performance results compared to other studies in literature.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"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":"131981021","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 Computational Drug Repositioning Effort using Patients’ Reviews Dataset 使用患者评论数据集的计算药物重新定位工作

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215985

Ali Akkaya, Gokhan Bakal

{"title":"A Computational Drug Repositioning Effort using Patients’ Reviews Dataset","authors":"Ali Akkaya, Gokhan Bakal","doi":"10.1109/SmartNets58706.2023.10215985","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215985","url":null,"abstract":"The drug discovery process is one of the core motivations in both medical and, specifically, pharmaceutical disciplines. Due to the nature of the process, it requires an excessive amount of time, clinical experiments, and budget to cover each discovery phase. In this sense, computational drug discovery efforts can shorten the discovery process by providing plausible candidates since many of the attempts fail for several reasons, such as a lack of participants, financial problems, or ineffective results. In this study, the goal is to identify plausible candidate drugs for diseases. To do that, we utilize a personal experience of drugs dataset generated by patients. Beyond the user-generated comments, the users also give a rate between 1 and 10. Since we want to ensure the dataset quality, we first performed sentiment analysis experiments to prove that the reviews/comments are consistent with the given rating score. Then, only the review pairs having an effectiveness rate of 6 or more are selected as pre-filtered drug-disease pairs. We also build a knowledge graph using treatment-related biomedical relations using predications from Semantic Medline Database to identify drug similarities utilizing the Simrank similarity algorithm. As a result, we reported a list of plausible drugs as repurposing/repositioning candidates for further experiments.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"21 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":"116695026","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 Music Generation Scheme with Beat Weight Learning 基于节拍权重学习的音乐生成方案

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216030

Y. Chen, Chih-Shun Hsu, Fang-Yu Chang Chien

{"title":"A Music Generation Scheme with Beat Weight Learning","authors":"Y. Chen, Chih-Shun Hsu, Fang-Yu Chang Chien","doi":"10.1109/SmartNets58706.2023.10216030","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216030","url":null,"abstract":"The generation of music by neural network is an interesting research topic. Since songs are composed of long-term structures of melody, rhythm, and chord progression, the construction of a good music generation model is challenging. This paper proposes a music generation scheme that uses aligned beats to fuse two segments of music. First, a certain segment in the song is selected as the starting segment of the song. In order to take into account the relationship between notes and the relationship between the whole bar, the music generated by two music generation schemes is used. The two different music segments generated by the two schemes are used to learn the fusing weight of each beat so as to generate new fused melodies with coherence and harmony. The experimental result generated by the model are evaluated using an objective evaluation mechanism. The performance results illustrate that, the proposed scheme outperforms the other music generation schemes in terms of the Pitch Class Consistency (PCC), Note Length Consistency (NLC), Grooving Consistency (GC), and Limited Macroharmony (LM).","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"69 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":"121821949","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