2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)最新文献_第6页

A Combined IoT-Enabled SensorDB and Spatial Query Framework for Smart Farming 面向智能农业的物联网传感器数据库和空间查询框架

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686900

Karim Fathallah, Mohamed Amine Abid, N. Hadj-Alouane

{"title":"A Combined IoT-Enabled SensorDB and Spatial Query Framework for Smart Farming","authors":"Karim Fathallah, Mohamed Amine Abid, N. Hadj-Alouane","doi":"10.1109/AICCSA53542.2021.9686900","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686900","url":null,"abstract":"Smart farming is an emerging concept that appeared in the context of agriculture 4.0. It aims at providing the agricultural industry with the infrastructure to leverage advanced technology including the internet of things (IoT) in building Digital Farms. To face the expanding global population and the increasing demand for crop yield, food production needs to reach higher levels of automation and efficiency, and thus the need for tracking, monitoring, automating, and analyzing operations. A wireless sensor network (WSN), and through an adequate IoT application, collects environmental and soil data of a monitored field to help make informed decisions. The nature and frequency of collected data may change throughout the agricultural season or due to a change in agricultural activities. Such changes require reprogramming all the sensor nodes unless the WSN is modeled as a distributed database referred to as SensorDB. The data collection is then reduced to a simple declarative request, in an SQL-like language, formulated by the user to specify the sensory measure of interest, the measurement frequency, and the required execution time, etc. In this research paper, we present QLowPAN, an IoT-enabled SensorDB coupled with a spatial query system that further helps the execution of in-network operations. A performance evaluation of QLowPAN, in the context of a smart farming application to fight against the Late blight potato epidemic pest, shows performance gains in terms of energy consumption, reaching up to 400% on average, when compared to a standard basic approach.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"410 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126689678","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

The importance of signal pre-processing for machine learning: The influence of Data scaling in a driver identity classification 信号预处理对机器学习的重要性:数据缩放对驾驶员身份分类的影响

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686756

Najmeddine abdennour, T. Ouni, N. B. Amor

引用次数: 2

Success Factors for Market Entry of Mobile Health Startups 移动医疗创业公司进入市场的成功因素

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686849

T. Lux, Yannik Kempf

引用次数: 0

A Model for Computing Temporal Eligibility Criteria on Large and Diverse Data Repositories 大型和多样化数据存储库的时间合格标准计算模型

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686822

A. Taweel, E. Lamine, R. Bache

引用次数: 0

Health and Well-being Impact of Coronavirus: A Case study of West Midlands vs England 冠状病毒对健康和福祉的影响:西米德兰兹郡与英格兰的案例研究

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686891

Diana Haidar, Nora Hérault, Abdel-Rahman H. Tawil, Nigel Sharratt, K. Vlachos, Edlira Vakaj

{"title":"Health and Well-being Impact of Coronavirus: A Case study of West Midlands vs England","authors":"Diana Haidar, Nora Hérault, Abdel-Rahman H. Tawil, Nigel Sharratt, K. Vlachos, Edlira Vakaj","doi":"10.1109/AICCSA53542.2021.9686891","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686891","url":null,"abstract":"The COVID-19 pandemic represents a global public health emergency that is becoming an economic crisis, a social crisis and a well-being crisis. Countries around the world have taken unprecedented precautionary measures against COVID-19 to control the spread of the disease and to ensure the well-being of their people. This study investigates the health and well-being impact of COVID-19 based on a case study of West Midlands - a region having several big local authorities including Birmingham, the second biggest UK city - compared to England. The data used in this study are open data from the Office for National Statistics 1. In collaboration with Birmingham City Council and using data analysis techniques and Business Intelligence tools and strategies we demonstrate how to convert raw survey data into actionable and coherent information. The output from our research can be used by local governments to better understand the impact of the Coronavirus and ensued lock-downs on the health and well-being of West Midlands citizens with the aim to support decision making and to direct the provisioning of services. Our analysis showed that the dimensions of well-being (e.g. worthwhile, satisfaction, happiness, anxiety) are improving for West Midlands and England citizens, and that citizens are less worried about the effect of the coronavirus outbreak (from 76% in mid February to 57% in mid May in West Midlands), however, they are less optimistic about when life will return to normal (more than a year). In addition, utilising Linear Regression and correlation analysis, it was proven that the COVID-19 economic and social issues have an influence on the well-being of citizens, thus emphasising the importance of addressing these issues which will consequently mitigate their effect on well-being.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133066697","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

Improvement of the COTA-Orthography system through language modeling 通过语言建模改进COTA-Orthography系统

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686898

Fatma Zahra Besdouri, A. Mekki, Inès Zribi, M. Ellouze

引用次数: 0

Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence in Internet of Things 结合联邦学习和边缘计算实现物联网泛在智能

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/aiccsa53542.2021.9686769

引用次数: 0

Automatic Prostate Cancer Grading Using Deep Architectures 使用深层结构的前列腺癌自动分级

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686869

M. Mohsin, A. Shaukat, M. Akram, Muhammad Kaab Zarrar

{"title":"Automatic Prostate Cancer Grading Using Deep Architectures","authors":"M. Mohsin, A. Shaukat, M. Akram, Muhammad Kaab Zarrar","doi":"10.1109/AICCSA53542.2021.9686869","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686869","url":null,"abstract":"Prostate cancer is the second most aggressive type of cancer among men aged over 45, and it has a major effect on people's lives. Early diagnosis and grading of prostate cancer from tissue images is necessary. Large scale inter observer reproducibility exists in grading the prostate biopsies. This leads us to move towards a computer based model that can accurately detect and grade the cancerous prostate from non-cancerous one. The paper is focused on deep learning based models to automatically grade the prostate cancer from tissue microarray images. Deep learning models directly learn the features via convolutional layers. Two datasets have been used for implementation of our proposed model, Harvard dataset and Gleason Challenge 2019. Our proposed UNET based architecture is used for training as well as validation and testing. We used four different deep learning models, VGG19, ResNet50, Mobilenetv2 and ResNext50 for our UNET based encoder. With our proposed framework, we have achieved 0.728 and 0.732 average Cohen’s kappa with F1 on both datasets respectively. The results show that our proposed UNET based deep learning model shows better performance as compared to other state of the art models.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922367","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

Towards an adaptive gamification Model Based on Ontologies 基于本体的自适应游戏化模型

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686937

Souha Bennani, A. Maalel, H. Ghézala

引用次数: 2

Virtual Process Simulation in Health Care: Potentials and Challenges 虚拟过程仿真在医疗保健:潜力和挑战

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686871

Lisanne Kremer, Robert Gutu, Lea Leeser, B. Breil, M. Spitzhirn, Thomas Lux

{"title":"Virtual Process Simulation in Health Care: Potentials and Challenges","authors":"Lisanne Kremer, Robert Gutu, Lea Leeser, B. Breil, M. Spitzhirn, Thomas Lux","doi":"10.1109/AICCSA53542.2021.9686871","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686871","url":null,"abstract":"The operating room is a site of high complexity, high risk and an intensive use of resources. Analysis and modification of processes are challenging and difficult to implement in practice. The planning software EMA WorkDesigner supports digital production planning and prospective ergonomics as well as productivity assessment by providing an efficient and accurate approach to 3D-human-simulation of manual and semi-automatic and human robot tasks. Main objective of the paper is the transfer of the application of EMA WorkDesigner in healthcare settings. For this purpose, we simulated a preoperative process in a 3D operating room and derived characteristic lines for ergonomics and cycle times for different human models. The results of the process simulation show that most of the workers have a higher risk of musculoskeletal overload according to the Ergonomic Assessment Worksheet evaluation method; on average, women have worse individual evaluation scores than men. There is no difference for the cycle times depending on the various human models. The assessed operating-room nurses have to cover a distance of 1222.5 m in one shift, for this process sequence alone. The EMA WorkDesigner has an enormous potential for use in healthcare simulation. A strength lies in the simple, quick and intuitive creation of working processes with object interaction by using the EMA WorkDesigner tasks library. On the other hand, there is a need for improvement in the creation of processes that require direct interaction with people, e.g. put patients from bed to divan bed. These require more effort. In addition a combination of EMA WorkDesigner with virtual reality methods would increase the spatial perception and interaction in groups.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"5 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124274726","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