2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)最新文献_第6页

Full-scale Investigation of a Dielectric Conical Antenna Small Perturbation 介电锥形天线微扰的全尺寸研究

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368780

K. Zeyde, Alisa Vardugina

引用次数: 1

GOMS-TLM and Eye Tracking Methods Comparison in the User Interface Interaction Speed Assessing Task GOMS-TLM与眼动追踪方法在用户界面交互速度评估任务中的比较

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368590

V. Kompaniets, A. Kazanskaya, A. Tselykh, Valery Grigoryev

引用次数: 2

Mathematical modeling of refractive index based on machine learning (kNN-QSPR) method 基于机器学习(kNN-QSPR)方法的折射率数学建模

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368648

Rifkat Davronov, B. Rasulev, F. Adilova

引用次数: 0

IDEF Models And Innovative System For Search Data In Stochastic Information Environment 随机信息环境下搜索数据的IDEF模型与创新系统

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368581

Muminov B. B., Bekmurodov U.B.

引用次数: 1

An Empirical Study of Goal Setting in UX/UI-design UX/ ui设计中目标设定的实证研究

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368570

V. Kompaniets, A. Lyz, A. Kazanskaya

{"title":"An Empirical Study of Goal Setting in UX/UI-design","authors":"V. Kompaniets, A. Lyz, A. Kazanskaya","doi":"10.1109/AICT50176.2020.9368570","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368570","url":null,"abstract":"The article is devoted to the empirical experience of goal-setting research in the process of UX/UI design. The study was conducted on the basis of the master's program \"Ergodesign of the user interface\", implemented in the Institute of Computer Technologies and Information Security of the Southern Federal University in accordance with the relevant professional standard \"Specialist in the design of graphic and user interfaces.\" The UX/UI-design module of this program is built according to the classical level system of elements by J. Garrett. The article considers filling the system level framework with a minimum set of specific methods and tools that have proved their effectiveness and didactic value. In this regard, it is very promising in the tasks of researching user experience, including its unconscious components, instrumental methods of oculography and electroencephalography are presented, which are now being implemented by relatively inexpensive and compact devices, in particular, Eye Tribe eye tracking and the NeuroSky MindWave neuro headset. The conclusion is made that G. Garrett’s system of elements is still of high practical importance as a visual goal-setting tool in the process of UX/UI design.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126462344","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

Machine Learning Approaches to Predict New Mobile Internet Customers 预测新的移动互联网客户的机器学习方法

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368770

Aktham Sawan, Rashid Jayousi

{"title":"Machine Learning Approaches to Predict New Mobile Internet Customers","authors":"Aktham Sawan, Rashid Jayousi","doi":"10.1109/AICT50176.2020.9368770","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368770","url":null,"abstract":"Globalization and liberalization of the economy dramatically shifted the nature of business competition. The emergence of new technology in business operations has intensified rivalry and generated new opportunities for service providers. In order to deal with increasing situations, businesses are turning their focus to maintaining current clients rather than acquiring new ones. This is more cost-effective and therefore needs fewer energy. In this article, future mobile internet customers are investigated on the basis of machine learning and deep learning strategies applied to consumer activity and usage knowledge, which can assist new mobile internet customers. This paper utilized consumer usage and similar knowledge from a telephone service provider to examine mobile internet customers in the telecommunications industry. XGBoost and Random Forest the decision tree ensembles are used as basic statistical machine learning models for the development of a binary mobile internet classifier. The implementation component was developed using Python, a state-of-the-art structured data processing platform for machine learning and data mining. Many ML and deep learning approaches such as (K-Nearest Neighbors KNN, logistic regression, Support Vector Machine SVM, and Deep Neural Network DNN) have been tested to achieve greater and more successful outcomes and results.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222614","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

The role of blockchain for increase trust on software components and services 区块链在增加对软件组件和服务的信任方面的作用

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368582

Vaidas Giedrimas

引用次数: 1

Ray tracing simulation of wing mirrors for ultrasonic sensor based blind spot monitoring system 基于超声传感器的盲点监测系统翼镜光线追踪仿真

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368615

J. Kholkhujaev, Nodirbek Abdurakhmonov, S. Ruzimov, N. Abdukarimov, J. Inoyatkhodjaev, Abdulla Saidov

{"title":"Ray tracing simulation of wing mirrors for ultrasonic sensor based blind spot monitoring system","authors":"J. Kholkhujaev, Nodirbek Abdurakhmonov, S. Ruzimov, N. Abdukarimov, J. Inoyatkhodjaev, Abdulla Saidov","doi":"10.1109/AICT50176.2020.9368615","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368615","url":null,"abstract":"In this paper, we propose a method for 3D virtual estimation of blind spot zone for passenger vehicle. Blind spot zone (BSZ) is the problem of inconspicuous area that accounts for majority part of lane change related accidents. To estimate BSZ, the wing mirror reconstruction with the driver's eyes as a focal point in the vehicle has been performed. Thus far, the reconstruction of mirrors and driver in the vehicle has been a problem since they are often based on approximations or inaccurate data. Our aim in this paper was to confirm that ray tracing simulation of mirrors can be performed in order to identify the BSZ.The virtual model of wing mirror and contiguous vehicle parts are created in Solidworks and TracePro to make ray tracing simulation. The research was limited to the range of 3600mm. Physical experiment set up is grid-based technique used to model BSZ and make comparative analysis with virtual mirror ray tracing simulation. Matlab is used to compare grid-based technique to identify BSZ and the simulated BSZ angle.Additionally, the paper discusses possibilities of using different sensor technique for blind spot monitoring systems (BSMs) for passenger vehicles. BSMs are often applied in driver assistant systems for autonomous vehicles with level one, while the paper discusses possibility of installing BSMs onto passenger cars with level 0 autonomy.In conclusion, ray tracing simulation of virtual wing mirror can be used to detect 3D BSZ and suggest a BSMs based on the data obtained from simulation. BSMs installment can be done on passenger cars with much cost effective way using the BSZ virtual analysis.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117334635","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 new dataset for the detection of hand movements based on the SEMG signal 基于表面肌电信号的手部运动检测新数据集

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368735

Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov

引用次数: 6

Accident & Emergency Informatics : Terminologies and Standards are needed for Digital Health in the Early Rescue Chain 事故与应急信息学:早期救援链中的数字健康需要术语和标准

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368745

T. Deserno, R. Jakob

{"title":"Accident & Emergency Informatics : Terminologies and Standards are needed for Digital Health in the Early Rescue Chain","authors":"T. Deserno, R. Jakob","doi":"10.1109/AICT50176.2020.9368745","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368745","url":null,"abstract":"Recently, the World Health Organization (WHO) has released a draft of its Global Strategy on Digital Health 2020-2024. Accident & emergency informatics (A&EI) addresses these targets providing fully automatic and specific rescue calls, which are generated by smart implants, smart clothes, smart wearables, smart vehicles, smart homes, or the Internet of Things (IoT). These smart environments monitor unobtrusively and continuously environmental, behavioural, physiological, or psychological parameters. In near future, they will autonomously generate specific alerts on adverse (health) events. A&EI interconnects the information and communication technology (ICT) systems in the early rescue chain. It enables semantically interoperable information exchange by the International Standard Accident Number (ISAN). In this paper, we describe key ICT components of the early rescue chain: alarming, responding, and curing instances. We suggest a minimum dataset that contains an event identifier, time and location, the type of event, and the number of victims including – if available – their identity. Concerning location, we address navigation on static as well as dynamic sites, within buildings, and brute-force getting into vehicles. Here, there is a lack of international classifications, terminologies, and standards to support semantically interoperable information exchange in the early rescue chain without any humans in the loop.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132414136","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