2021 4th International Conference on Information and Computer Technologies (ICICT)最新文献_第4页

Digital Automation Platforms Comparative Study 数字自动化平台比较研究

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00052

Mohammed Abdou, Abdelrahman M. Ezz, Ibrahim Farag

{"title":"Digital Automation Platforms Comparative Study","authors":"Mohammed Abdou, Abdelrahman M. Ezz, Ibrahim Farag","doi":"10.1109/ICICT52872.2021.00052","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00052","url":null,"abstract":"Digital Automation Platforms are considered as a new category of programming without writing codes which increases the developer's access to many online services and IoT platforms through APIs. The proliferation of IoT, the connectivity of most of the devices to the internet and the growth of cloud-based services introduced new service-based automation platforms. Digital Platforms are a trigger-action programming that aim to make a set of workflows integrating different devices, provide useful functionality without having technical knowledge using graphical interface, automate human repetitive tasks, and offer certain types of decision-making capabilities. Many applications are integrated with these platforms, giving the user a high degree of freedom to create his own service via choosing both trigger and action. In this work, a comparative study is presented in order to differentiate between five automation platforms: Zapier, IFTTT, Integromat, Microsoft Power Automate and Parabola using various comparison metrics: accessibility, usability, time responsiveness with pricing model, integrability, and Security risks.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708717","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: 4

Image Enhancement from Illumination Variation to Improve the Performance of Simultaneous Localization and Mapping Technique 基于光照变化的图像增强提高同时定位和映射技术的性能

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00027

O. Y. Agunbiade, T. Zuva

{"title":"Image Enhancement from Illumination Variation to Improve the Performance of Simultaneous Localization and Mapping Technique","authors":"O. Y. Agunbiade, T. Zuva","doi":"10.1109/ICICT52872.2021.00027","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00027","url":null,"abstract":"The Simultaneous Localization and Mapping (SLAM) is a research problem that has been explored by scholars. The SLAM contribution to autonomous robot navigation has attracted the attention of many researchers and over the decades, many SLAM techniques with outstanding achievement has been presented to resolve the SLAM problem. However, there are factors such as environmental noises that can limit the performance of SLAM techniques. These environmental noises can create misunderstandings in image analysis with an erroneous effect on the robot navigation path. In this study, attention will only focus on shadow and light intensity environmental noise and in resolving this issue, filters were presented to modify the original Monte Carlo algorithm to improve its effectiveness. MATLAB was used for the simulation experiment and evaluation is based on qualitative and quantitative methods. The experimental results acquired were compared to the original Monte Carlo algorithm without filters and the results obtained were amazing. The accomplishment of the modified Monte Carlo algorithm has led to enhancement in robot path and in real-life implementation will facilitate self-directed navigation, exploration, and route planning while it decreases accident rates and injuries for human working in an unstable environment.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114604152","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

Word Segmentation for Arabic Abstractive Headline Generation 阿拉伯语抽象标题生成的分词

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00017

Yaser O. Abdelaziz, S. El-Beltagy

引用次数: 0

An Evaluation of POP Performance for Tuning Numerical Programs in Floating-Point Arithmetic 浮点运算数值程序调优的POP性能评价

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00019

Dorra Ben Khalifa, M. Martel

{"title":"An Evaluation of POP Performance for Tuning Numerical Programs in Floating-Point Arithmetic","authors":"Dorra Ben Khalifa, M. Martel","doi":"10.1109/ICICT52872.2021.00019","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00019","url":null,"abstract":"Most of today's numerical computations are performed using floating-point data operations for representing real numbers. The precision of the related data types should be adapted in order to guarantee a desired overall rounding error and to strengthen the performance of programs. This adaptation lies to the precision tuning technique, which consists of finding the least floating-point formats enabling a program to compute some results with an accuracy requirement. Precision tuning is important for several applications from a wide variety of domains including embedded systems, Internet of Things (IoT), etc. In this work, we evaluate the performance of POP, our static analysis tool, in several manners. First, we compare two ways of optimizing programs in POP throughout the definition of different cost functions given to the solver. Second, we measure the runtime errors between the exact results given by an execution in multiple precision and the results of tuned programs by POP and show that the measured error is always less than the accuracy requirements given by the user for several examples. Third, we provide a detailed comparison of POP versus the prior state-of-the-art tool, Precimonious.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772675","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

A Composited Framework for High-precision Network Public Opinion Risk Event Prediction 高精度网络舆情风险事件预测的综合框架

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00045

Xi Zeng

引用次数: 0

Discovery of Hybrid Ensemble Models Resilient to Input Resolution Deterioration 对输入分辨率退化有弹性的混合集成模型的发现

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00048

Zhenyi Yang, Rebecca Miao, V. Gavrishchaka, O. Senyukova

{"title":"Discovery of Hybrid Ensemble Models Resilient to Input Resolution Deterioration","authors":"Zhenyi Yang, Rebecca Miao, V. Gavrishchaka, O. Senyukova","doi":"10.1109/ICICT52872.2021.00048","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00048","url":null,"abstract":"Recent advances in deep learning (DL) and ensemble learning frameworks significantly improved performance of machine learning (ML) models in different scopes. However, severe data limitations and absence of relevant problems for transfer and meta learning can drastically reduce capabilities of these techniques. Previously we have shown that hybrid approaches leveraging domain-expert knowledge, boosting and DL could discover robust solutions in cases with very limited data availability. Similar challenges are encountered in applications with reduced data sampling rate and resolution due to technological and operational restrictions such as longterm data collection by wearable biomedical devices and fully autonomous robotic systems. Multi-scale features discovered by DL or other empirical ML techniques from high-resolution data could become much less effective or unstable when used with lower resolution inputs. Direct training on low-resolution data may result in the selection of oversimplified and biased model with suboptimal performance. Here we argue that models resilient to input resolution deterioration can be discovered using our previously proposed hybrid framework where boosting-like algorithms are used for effective utilization and enhancement of existing domain-expert models with further non-linear combination of boosted ensemble components via DL or other ML algorithms. Our approach is illustrated in the biomedical context using cardio data from www.physionet.org.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133860803","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

A Visualized Parameter-Tuned Algorithm For Control Loading System 一种控制加载系统的可视化参数整定算法

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00058

Shuchun Zhang, Liu Yu, Zhenyu Sun, Yifu Shi, Ma Zhonghao, Yongbin Chou

引用次数: 0

The Rise of the ‘Quarantine Bar Simulator’: The Uses and Gratifications of Social VR During the COVID-19 Pandemic “隔离酒吧模拟器”的兴起:COVID-19大流行期间社交VR的使用和满足

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00043

Brendan Kelley

引用次数: 2

Plant disease detection based on lightweight CNN model 基于轻量级CNN模型的植物病害检测

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00018

Yang Liu, Guoqin Gao, Zhenhui Zhang

引用次数: 3

Research on Edge Cloud Quality Model and Evaluation System 边缘云质量模型及评价体系研究

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00034

Liyun Yang, Hang Chen, Yangyang Zhang

引用次数: 0