{"title":"Intelligent Approaches for Smart Cities","authors":"U. Tudevdagva, A. Heller","doi":"10.14464/ess.v8i1.482","DOIUrl":"https://doi.org/10.14464/ess.v8i1.482","url":null,"abstract":"The Embedded Self-Organizing System Journal (ESSJ) is calling for contributions to an issue on the subject of \"Smart Cities\". This issue focuses on the wide variety of application areas for the sustainable development of smart cities.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971801","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}
{"title":"An Overview of Massive Open Online Courses with Topics of Robotics","authors":"Danaa Ganbat, U. Tudevdagva","doi":"10.14464/ess52416","DOIUrl":"https://doi.org/10.14464/ess52416","url":null,"abstract":"This article reports short overview of massive open online courses for “robotic” topic. Extensive use of mobile devices opens up various opportunities for educational institutions to transfer contents to learners. Modern learners prefer to manage their learning by personal way. Many online courses are confirming this fact. Nowadays we can find unlimited number of contents on the internet. Almost all universities offer own online courses with various topics. In the last decade massive open online course (MOOC) became one of the opportunities to keep educated. \u0000The robotics is main focus of this issue, therefore we are trying to conduct small study on online educational contents with this topic. We selected five MOOCs in our study. Main criteria of selection were personal experience of author with these MOOCs. An evaluation of MOOCs is not an aim of the article. Through this article we tried to make visible opportunities to get education on robotics free by online with your personal learning management time.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389570","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}
{"title":"Editorial Article","authors":"U. Tudevdagva, Julien Vitay, John Nassour","doi":"10.14464/ess52395","DOIUrl":"https://doi.org/10.14464/ess52395","url":null,"abstract":"The world we are living in changes extremely fast, as technology is improving at an unseen pace. Smart mobile devices were luxury devices just a few years ago, while many people simply cannot imagine their daily life without them today. Robots are nowadays leaving the industrial or laboratory environments to reach people’s homes, schools and workplaces, opening new opportunities for applications of embedded systems.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124519614","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}
{"title":"Content of Issue","authors":"U. Tudevdagva","doi":"10.14464/ess51347","DOIUrl":"https://doi.org/10.14464/ess51347","url":null,"abstract":"Here listed all titles of published articles of Issue: Unmanned Aerial Systems and Its Application","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126457146","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}
{"title":"Timing and Navigation in UAVs","authors":"K. Hünerbein, W. Lange","doi":"10.14464/ess51265","DOIUrl":"https://doi.org/10.14464/ess51265","url":null,"abstract":"Precise timing and precise location information are provided by Global Navigation Satellite Systems (GNSS) and play a crucial role in the positioning, navigation and data acquisition of most Unmanned Aerial Vehicles (UAV). GNSS functions include the following applications in UAVs: time-stamping and geo-referencing of collected data and images, synchronization of swarm flying and follow-me flights, determination of position and attitude in-flight, flight trajectory by following a pre-defined number of waypoints, mission planning, return home automatically without external control, avoidance of obstacles and geo-fencing. \u0000Some of these critical operations have implications for the safety of the UAV, the surrounding environment and health and safety of people, for example UAVs threatening to bring down aircrafts at airports, which are no-fly zones for UAVs. The appropriate GNSS based function to avoid this is geo-fencing. Another example is obstacle avoidance to prevent collisions and damages both for the UAV and the obstacle, e.g. anything from a window pane, tree, human being, to a power line. \u0000In order to ensure health and safety it is thus important to ensure correct function of the navigation and the timing, under a wide variety of circumstances, and in different signal environments. There can be signal disturbances, such as obscurations by buildings or reflected GNSS signals, called multipath. The performance of timing and navigation based on GPS/GNSS can be tested and verified in a controlled and repeatable way in the laboratory with different types of test equipment. We will give an introduction to a wide range of potential threats to GNSS Positioning, navigation and timing and an overview of different test methods. In addition, we are presenting a method for time synchronization of drones to enable safe swarm and follow flights in UAVs.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121494148","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}
{"title":"Analysis of Machine Learning Approach for the modemodel in SWC Mapping in Automotive Systems","authors":"Owes Khan, Geri Shahini, W. Hardt","doi":"10.14464/ess.v7i1.447","DOIUrl":"https://doi.org/10.14464/ess.v7i1.447","url":null,"abstract":"Automotive technologies are ever-increasinglybecoming digital. Highly autonomous driving togetherwith digital E/E control mechanisms include thousandsof software applications which are called as software components. Together with the industry requirements, and rigorous software development processes, mappingof components as a software pool becomes very difficult.This article analyses and discusses the integration possiblilities of machine learning approaches to our previously introduced concept of mapping of software components through a common software pool.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129857741","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}
{"title":"EEG representing on brain surface using volume rendering","authors":"Dmitrii Klementev, V. Guzhov, W. Hardt","doi":"10.14464/ess.v8i1.476","DOIUrl":"https://doi.org/10.14464/ess.v8i1.476","url":null,"abstract":"Brain research is challenging. One of the standard research methods is electroencephalography (EEG). As a rule, this study is presented in the form of graphs. This article describes an approach in which this data is mapped onto a brain model generated from a magnetic resonance imaging (MRI) scan. This allows you to look at the EEG study from a different point of view. An MRI scan will also allow you to take into account some of the features of the brain. This is an advantage over mapping just to a brain template. This non-invasive system can be implemented to monitor the patient in real-time, for example, during space flight.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114214237","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}
{"title":"Towards Collection of Smart City Data for Cloud Storage Using UAVs","authors":"I.Yu. Ageev, W. Hardt","doi":"10.14464/ess.v8i1.478","DOIUrl":"https://doi.org/10.14464/ess.v8i1.478","url":null,"abstract":"The article describes the methodology and process of collecting smart city data using drones for cities that do not have a sufficiently developed infrastructure. For storage and subsequent analysis of data, a cloud server is required; TUC DriveCloud is presented as an example of such a server in the article. Traffic analysis and building inspection are described as examples of drone data collection tasks. The advantages and disadvantages of collecting data using a thermal imaging camera are also discussed using the example of the problem of detecting and tracking the movement of people.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525559","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}
{"title":"Automated Evaluation of Smart City Data from Cloud-System","authors":"Iurii Koniaev-Gurchenko, W. Hardt","doi":"10.14464/ess.v8i1.480","DOIUrl":"https://doi.org/10.14464/ess.v8i1.480","url":null,"abstract":"Smart city data processing is an important taskfor the promotion and development of smart cities. The articledescribes and presents the types of smart city data, discusses theexisting modern methods and approaches to the processing ofsmart city data, such as pre-processing, assessment and analysis,and their tasks. This article contains architectural solutions andmethods used in the developed automated smart city dataevaluation system. There is also a detailed description of theintegration of the developed system with the DriveCloud cloudserver for receiving and storing smart city data.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125926149","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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