Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368780
K. Zeyde, Alisa Vardugina
This article is based on the conclusion that the observability of small perturbations of an electrodynamic system may be a priori estimated at the stage of finite element mesh optimization. In this paper, an attempt has been made to generalize the formulation of the problem using mathematical perturbation theory, electrodynamic Mie theory, Rayleigh scattering, and computational methods of electrodynamics. In this work, we consider a certain calibration element, which is a sphere for which there is reliable solution, and on which we may check the hypothesis and requirements regarding the considered problem. Developed specific rules for objects decomposition into a computational mesh and its a priori control for conducting accurate modeling. Validation of the optimization technique was carried out by comparing the numerical data and experimental data. The objects of study are thin metal plate and metal spheres. The electrodynamic system is a well-studied conical dielectric antenna.
{"title":"Full-scale Investigation of a Dielectric Conical Antenna Small Perturbation","authors":"K. Zeyde, Alisa Vardugina","doi":"10.1109/AICT50176.2020.9368780","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368780","url":null,"abstract":"This article is based on the conclusion that the observability of small perturbations of an electrodynamic system may be a priori estimated at the stage of finite element mesh optimization. In this paper, an attempt has been made to generalize the formulation of the problem using mathematical perturbation theory, electrodynamic Mie theory, Rayleigh scattering, and computational methods of electrodynamics. In this work, we consider a certain calibration element, which is a sphere for which there is reliable solution, and on which we may check the hypothesis and requirements regarding the considered problem. Developed specific rules for objects decomposition into a computational mesh and its a priori control for conducting accurate modeling. Validation of the optimization technique was carried out by comparing the numerical data and experimental data. The objects of study are thin metal plate and metal spheres. The electrodynamic system is a well-studied conical dielectric antenna.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"66 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":"129228075","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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368590
V. Kompaniets, A. Kazanskaya, A. Tselykh, Valery Grigoryev
The article describes a part of the ergonomic study of a mobile application user interface. It briefly presents the methodological review of the study, based on the of Schneiderman. This assessment was expanded by the GOMS-TLM method adapted for touch input and the eye tracking procedure on Tribe Eye Tracking equipment in the task of assessing the speed of a user interaction with an application. It has been demonstrated that the actual speed of the user, who is interacting with the test application for the first time, measured in eye tracking, is, on average, significantly lower than the prediction received by the GOMS-TLM method. It is higher the prediction for users familiar with the interface, however. Thus, in the work it was concluded that the GOMS-TLM method can give acceptable results that do not contradict the empirical oculographic experiment with minimal resource expenditure
{"title":"GOMS-TLM and Eye Tracking Methods Comparison in the User Interface Interaction Speed Assessing Task","authors":"V. Kompaniets, A. Kazanskaya, A. Tselykh, Valery Grigoryev","doi":"10.1109/AICT50176.2020.9368590","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368590","url":null,"abstract":"The article describes a part of the ergonomic study of a mobile application user interface. It briefly presents the methodological review of the study, based on the of Schneiderman. This assessment was expanded by the GOMS-TLM method adapted for touch input and the eye tracking procedure on Tribe Eye Tracking equipment in the task of assessing the speed of a user interaction with an application. It has been demonstrated that the actual speed of the user, who is interacting with the test application for the first time, measured in eye tracking, is, on average, significantly lower than the prediction received by the GOMS-TLM method. It is higher the prediction for users familiar with the interface, however. Thus, in the work it was concluded that the GOMS-TLM method can give acceptable results that do not contradict the empirical oculographic experiment with minimal resource expenditure","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":"121105392","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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368648
Rifkat Davronov, B. Rasulev, F. Adilova
In the present work, we created new software in R system, strictly following to the kNN-QSPR approach, used PaDEL and Dragon Descriptor software for generation of initial set of descriptors and developed the program for automatic scaling. Based on this new software, we propose models of quantitative relationships between refractive indices (RI) and polymer structure. An important conclusion of this study is confirmed by the correct interpretation of the constructed models.
{"title":"Mathematical modeling of refractive index based on machine learning (kNN-QSPR) method","authors":"Rifkat Davronov, B. Rasulev, F. Adilova","doi":"10.1109/AICT50176.2020.9368648","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368648","url":null,"abstract":"In the present work, we created new software in R system, strictly following to the kNN-QSPR approach, used PaDEL and Dragon Descriptor software for generation of initial set of descriptors and developed the program for automatic scaling. Based on this new software, we propose models of quantitative relationships between refractive indices (RI) and polymer structure. An important conclusion of this study is confirmed by the correct interpretation of the constructed models.","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":"121246301","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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368581
Muminov B. B., Bekmurodov U.B.
IDEF models of the method of forming a semantic connection through calculations of the relevance on the basis of the area with the zone and attributes, and the calculation of the most cost-effective value of g, the method of calculating the weight of the data frequency and the frequency with inverse data, based on the model of intellectual semantic search, the creation of the ISIDR in the SIS and for software.
{"title":"IDEF Models And Innovative System For Search Data In Stochastic Information Environment","authors":"Muminov B. B., Bekmurodov U.B.","doi":"10.1109/AICT50176.2020.9368581","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368581","url":null,"abstract":"IDEF models of the method of forming a semantic connection through calculations of the relevance on the basis of the area with the zone and attributes, and the calculation of the most cost-effective value of g, the method of calculating the weight of the data frequency and the frequency with inverse data, based on the model of intellectual semantic search, the creation of the ISIDR in the SIS and for software.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"24 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":"122604432","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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368570
V. Kompaniets, A. Lyz, A. Kazanskaya
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.
{"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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368770
Aktham Sawan, Rashid Jayousi
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.
{"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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368582
Vaidas Giedrimas
Software components and services are the main building blocks for distributed software projects, enabling them to make software engineering really global. However, the trust for binary components or service is still an open question. Because the components and services are provided to the system without the possibility of the detailed inspection of its internals, global system integrators are walking on edge to approve such building blocks inside the system. In the times when software quality now is critically important (as the financial data), we need solutions as secure as those which are used to preserve financial data. In this paper, the authors discuss the main issues of the software components and services trust and to present the blockchain-based model of software metadata registration and retrieval to increase the trust for the software composition entities.
{"title":"The role of blockchain for increase trust on software components and services","authors":"Vaidas Giedrimas","doi":"10.1109/AICT50176.2020.9368582","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368582","url":null,"abstract":"Software components and services are the main building blocks for distributed software projects, enabling them to make software engineering really global. However, the trust for binary components or service is still an open question. Because the components and services are provided to the system without the possibility of the detailed inspection of its internals, global system integrators are walking on edge to approve such building blocks inside the system. In the times when software quality now is critically important (as the financial data), we need solutions as secure as those which are used to preserve financial data. In this paper, the authors discuss the main issues of the software components and services trust and to present the blockchain-based model of software metadata registration and retrieval to increase the trust for the software composition entities.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"20 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":"128083408","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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368615
J. Kholkhujaev, Nodirbek Abdurakhmonov, S. Ruzimov, N. Abdukarimov, J. Inoyatkhodjaev, Abdulla Saidov
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.
{"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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368735
Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov
in this article, we would like to present a new dataset (DS-dataset) designed to detect hand movements based on SEMG (surface electromyography) signal. This DS includes data from 42 healthy people and seven hand movements, which included three complete arm movements, i.e. punch, grip, finger touch, open hand, three-finger movements, i.e. flexion of the index finger, flexion of the middle finger, flexion of the ring finger, and one waiting state. This data was obtained using BTS's state-of-the-art Free-EMG 10-channel recorder. Based on the data in DS, the characteristic vector of the signal was generated, and were classified using classical classification algorithms (support vector machine - SVM, random forest - RF and k-nearest neighbor algorithm - k-NN). The presented DS can be used as a basis for determining the localization of electrodes and for detecting hand movements when receiving the SEMG correctly.
{"title":"A new dataset for the detection of hand movements based on the SEMG signal","authors":"Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov","doi":"10.1109/AICT50176.2020.9368735","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368735","url":null,"abstract":"in this article, we would like to present a new dataset (DS-dataset) designed to detect hand movements based on SEMG (surface electromyography) signal. This DS includes data from 42 healthy people and seven hand movements, which included three complete arm movements, i.e. punch, grip, finger touch, open hand, three-finger movements, i.e. flexion of the index finger, flexion of the middle finger, flexion of the ring finger, and one waiting state. This data was obtained using BTS's state-of-the-art Free-EMG 10-channel recorder. Based on the data in DS, the characteristic vector of the signal was generated, and were classified using classical classification algorithms (support vector machine - SVM, random forest - RF and k-nearest neighbor algorithm - k-NN). The presented DS can be used as a basis for determining the localization of electrodes and for detecting hand movements when receiving the SEMG correctly.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"21 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":"127890465","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}
Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368745
T. Deserno, R. Jakob
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.
{"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}
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