Road accidents are skyrocketing, and traffic safety is a severe problem around the world. Many road traffic deaths are related to drivers’ unsafe behaviors. In this paper, we propose two different deep-learning models which classify the driver’s actions in a 60-second time frame into two main categories: Normal and Aggressive driving based on GPS data collected at 1 Hz, which is later preprocessed and passed to the proposed models to identify dominant driving behavior in each time frame. The models achieved an accuracy of 93.75 percent in real-world tests, which proves the efficiency of this method in driving behavior recognition.
{"title":"Driving Behaviors Recognition Using Deep Neural Networks","authors":"Karam Darwish, Majd Ali","doi":"10.14464/ess.v10i5.592","DOIUrl":"https://doi.org/10.14464/ess.v10i5.592","url":null,"abstract":"Road accidents are skyrocketing, and traffic safety is a severe problem around the world. Many road traffic deaths are related to drivers’ unsafe behaviors. In this paper, we propose two different deep-learning models which classify the driver’s actions in a 60-second time frame into two main categories: Normal and Aggressive driving based on GPS data collected at 1 Hz, which is later preprocessed and passed to the proposed models to identify dominant driving behavior in each time frame. The models achieved an accuracy of 93.75 percent in real-world tests, which proves the efficiency of this method in driving behavior recognition.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139360834","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}
The Internet of Things (IoT) has been enforced in different industries, including the electrical sector and the broader industrial landscape. IoT offers immense potential for enhanced electrical system monitoring, control, and optimization by seamlessly connecting devices, sensors, and equipment to the Internet. This issue explores IoT's current realization and implementation in electrical and industrial sectors and its impact on them. Additionally, it delves into the crucial connection between IoT, relay protection, and automation, highlighting the benefits of this integration in terms of efficiency, reliability, and safety. Furthermore, this issue explores perspectives and adaptations of IoT in the energy and industry sectors. The realization of IoT in electrical systems and the industry sector holds significant promise. As IoT technology continues to evolve, it will enable the seamless integration of various components within electrical systems and industrial processes. This integration will lead to intelligent automation, streamlined workflows, and real-time decision-making, improving operational efficiency, productivity, and resource optimization. The convergence of IoT, electrical systems, and the industry sector will create an intelligent ecosystem that redefines traditional practices and establishes a foundation for sustainable growth and competitiveness.
{"title":"Advanced Energy and Industrial IoT","authors":"Zagdkhorol Bayasgalan, Bat-Erdene Byambasuren, Uranchimeg Tudevdagva","doi":"10.14464/ess.v10i6.594","DOIUrl":"https://doi.org/10.14464/ess.v10i6.594","url":null,"abstract":"The Internet of Things (IoT) has been enforced in different industries, including the electrical sector and the broader industrial landscape. IoT offers immense potential for enhanced electrical system monitoring, control, and optimization by seamlessly connecting devices, sensors, and equipment to the Internet. This issue explores IoT's current realization and implementation in electrical and industrial sectors and its impact on them. Additionally, it delves into the crucial connection between IoT, relay protection, and automation, highlighting the benefits of this integration in terms of efficiency, reliability, and safety. Furthermore, this issue explores perspectives and adaptations of IoT in the energy and industry sectors. The realization of IoT in electrical systems and the industry sector holds significant promise. As IoT technology continues to evolve, it will enable the seamless integration of various components within electrical systems and industrial processes. This integration will lead to intelligent automation, streamlined workflows, and real-time decision-making, improving operational efficiency, productivity, and resource optimization. The convergence of IoT, electrical systems, and the industry sector will create an intelligent ecosystem that redefines traditional practices and establishes a foundation for sustainable growth and competitiveness.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135215531","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}
Early detection of chronic diseases and determining the stages of damage to the patient is considered one of the most important stages of treatment, as it helps doctors take important remedial measures that help the patient recover or reduce the risk of the disease to a minimum. Alzheimer's disease is one of the neurological diseases that lead to brain atrophy, which leads to the loss of its functions. MRI images of the brain are used to detect Alzheimer's disease, but it is difficult to determine both the stages of the disease and the amount of damage in a patient using this MRI technique. In this research, we aim to detect Alzheimer's disease in addition to determining its stage based on deep learning techniques by using a classifier that uses the convolutional neural network (CNN). In the research, magnetic resonance images of the brain were used, and the hippocampus region was extracted in assessing the amount of damage because it is the most important region in diagnosing damage to the disease and reduce the amount of data entered into the neural network, our results show an accuracy of 95% in estimating brain damage. The results of the classifier used were able to determine the amount of damage according to four stages of the disease.
{"title":"Staging of Alzheimer's disease based on MRI using CNN","authors":"Douaa Baddour, Majd Ali","doi":"10.14464/ess.v10i5.593","DOIUrl":"https://doi.org/10.14464/ess.v10i5.593","url":null,"abstract":"Early detection of chronic diseases and determining the stages of damage to the patient is considered one of the most important stages of treatment, as it helps doctors take important remedial measures that help the patient recover or reduce the risk of the disease to a minimum. Alzheimer's disease is one of the neurological diseases that lead to brain atrophy, which leads to the loss of its functions. MRI images of the brain are used to detect Alzheimer's disease, but it is difficult to determine both the stages of the disease and the amount of damage in a patient using this MRI technique. In this research, we aim to detect Alzheimer's disease in addition to determining its stage based on deep learning techniques by using a classifier that uses the convolutional neural network (CNN). In the research, magnetic resonance images of the brain were used, and the hippocampus region was extracted in assessing the amount of damage because it is the most important region in diagnosing damage to the disease and reduce the amount of data entered into the neural network, our results show an accuracy of 95% in estimating brain damage. The results of the classifier used were able to determine the amount of damage according to four stages of the disease.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135363513","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}
Call for submission. This editorial introduces the first issue of 2023 for Embedded Selforganising Systems (ESS) journal. The focus of this issue is the deployment of AI solutions in robotics and embedded systems. Our journal uses electronic publication, which provides a flexible way to submit and review contributions of authors from all countries. The advantages of such an e-journal are multifarious. In comparison to traditional paper journals, we replace the classic review and creation process with a new sliding issue model. Each issue starts with an initial editorial and an official call for papers. The submitted articles will be reviewed and, if accepted, published as soon as the final version is received by the committee. Based on this process, each sliding issue can be filled successively until the maximum number of articles is reached. During this period, all accepted papers can, already be read by other researchers while other papers are still in the reviewing process. Accordingly, the time to publish shrinks to a minimum. In addition, multiple issues with different focus can co-exist at the same time, which provides completely new possibilities to react on latest research topics. The journal also allows the integration of discussions and other reactions on published articles in the same journal issue. We are welcoming fresh ideas, on-going research technical reports and novel scientific works. We also intend to create a promising platform for creative and constructive discussions.
{"title":"Applied AI Solutions on Edge Devices","authors":"Mohamed Salim Harras, Shadi Saleh","doi":"10.14464/ess.v10i5.588","DOIUrl":"https://doi.org/10.14464/ess.v10i5.588","url":null,"abstract":"Call for submission. This editorial introduces the first issue of 2023 for Embedded Selforganising Systems (ESS) journal. The focus of this issue is the deployment of AI solutions in robotics and embedded systems. \u0000Our journal uses electronic publication, which provides a flexible way to submit and review contributions of authors from all countries. The advantages of such an e-journal are multifarious. In comparison to traditional paper journals, we replace the classic review and creation process with a new sliding issue model. Each issue starts with an initial editorial and an official call for papers. The submitted articles will be reviewed and, if accepted, published as soon as the final version is received by the committee. Based on this process, each sliding issue can be filled successively until the maximum number of articles is reached. During this period, all accepted papers can, already be read by other researchers while other papers are still in the reviewing process. Accordingly, the time to publish shrinks to a minimum. In addition, multiple issues with different focus can co-exist at the same time, which provides completely new possibilities to react on latest research topics. The journal also allows the integration of discussions and other reactions on published articles in the same journal issue. \u0000We are welcoming fresh ideas, on-going research technical reports and novel scientific works. We also intend to create a promising platform for creative and constructive discussions.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127621490","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}
Rapidly developing computer information technology is bringing significant changes in all aspects of our daily lives. It is no secret to all of us that at present society cannot be imagined without Information Communication Technologies. In general, the development of each country can be judged by the introduction of modern information and communication technologies into the industry. The innovative activity of pedagogues is the main factor in the reform of the education system. One of the most important aspects of modern education is the achievement of the innovative character of the pedagogical activity. The more innovation there is in the pedagogical activity, the better understanding of the teacher's own experiment can be achieved. In it, the teacher participates widely in creating, applying and improving innovation as the subject and organizer of the innovation activity. They seek to analyze the content in science and the essence of changes in knowledge and traditions. This article highlights the importance of using the "mental method" in teaching the" scientific education " module in the development of innovative activities of students of higher educational institutions in an informed environment.
{"title":"Application of the SMART Method in Teaching the Module \"Scientific Education\" in Students","authors":"D. Zaripova","doi":"10.14464/ess.v9i4.580","DOIUrl":"https://doi.org/10.14464/ess.v9i4.580","url":null,"abstract":"Rapidly developing computer information technology is bringing significant changes in all aspects of our daily lives. It is no secret to all of us that at present society cannot be imagined without Information Communication Technologies. In general, the development of each country can be judged by the introduction of modern information and communication technologies into the industry. The innovative activity of pedagogues is the main factor in the reform of the education system. One of the most important aspects of modern education is the achievement of the innovative character of the pedagogical activity. The more innovation there is in the pedagogical activity, the better understanding of the teacher's own experiment can be achieved. In it, the teacher participates widely in creating, applying and improving innovation as the subject and organizer of the innovation activity. They seek to analyze the content in science and the essence of changes in knowledge and traditions. This article highlights the importance of using the \"mental method\" in teaching the\" scientific education \" module in the development of innovative activities of students of higher educational institutions in an informed environment.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582268","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}
U. Tudevdagva, Purev Batbaatar, Munkhdelger Baasan, Lkhagvasuren Tsolmon, Zultsetseg Narangerel
This paper describes self-evaluation and its analysis on study course “Pharmacology” of program “Pharmaceutical” at Mongolian University of Pharmaceutical Sciences (MUPS). The study course “Pharmacology” is one of mandatory study course in “Pharmacology” program. The course teaching and learning hours consists of 48 hours lectures and 96 hours seminars lessons. The study direction “Pharmaceutical” established in 2005 and till 2022 more than 1997 students graduated degree in this program. This study program received accreditation certificates in 2014 and 2021. Lecturers who teach same courses in this study program first time done self-evaluation on their teaching course. For evaluation process applied structure-oriented evaluation (SURE) model. Data collected by google form and processed by the SURE online tool.
{"title":"Evaluation and its Analysis of Study Course: Pharmacology","authors":"U. Tudevdagva, Purev Batbaatar, Munkhdelger Baasan, Lkhagvasuren Tsolmon, Zultsetseg Narangerel","doi":"10.14464/ess.v9i4.586","DOIUrl":"https://doi.org/10.14464/ess.v9i4.586","url":null,"abstract":"This paper describes self-evaluation and its analysis on study course “Pharmacology” of program “Pharmaceutical” at Mongolian University of Pharmaceutical Sciences (MUPS). The study course “Pharmacology” is one of mandatory study course in “Pharmacology” program. The course teaching and learning hours consists of 48 hours lectures and 96 hours seminars lessons. The study direction “Pharmaceutical” established in 2005 and till 2022 more than 1997 students graduated degree in this program. This study program received accreditation certificates in 2014 and 2021. Lecturers who teach same courses in this study program first time done self-evaluation on their teaching course. For evaluation process applied structure-oriented evaluation (SURE) model. Data collected by google form and processed by the SURE online tool.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126637471","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}
Learning analytics is one of the technological tools aiming to investigate educational database collected during the learning delivery process for further purpose of use in decision making or process update. Various types of methods on learning analytics are originated by scholars with their own ambition to contribute the field study. It is emerging study field since 2010s. This paper review literature papers which focused on categorization of learning analytics models with focus of its’ criteria. The papers are chosen from open scholar databases. The selected papers reviewed learning analytics model related studies to bring up their suggested categorization. The category based on the learning analytics models’ main objective as well as used approach. It is observed that prediction of student achievement or success is significant method among learning analytics models.
{"title":"Categorization of Learning Analytics Models: Brief Literature Review","authors":"Garamkhand Surendeleg, U. Tudevdagva","doi":"10.14464/ess.v9i4.558","DOIUrl":"https://doi.org/10.14464/ess.v9i4.558","url":null,"abstract":"Learning analytics is one of the technological tools aiming to investigate educational database collected during the learning delivery process for further purpose of use in decision making or process update. Various types of methods on learning analytics are originated by scholars with their own ambition to contribute the field study. It is emerging study field since 2010s. This paper review literature papers which focused on categorization of learning analytics models with focus of its’ criteria. The papers are chosen from open scholar databases. The selected papers reviewed learning analytics model related studies to bring up their suggested categorization. The category based on the learning analytics models’ main objective as well as used approach. It is observed that prediction of student achievement or success is significant method among learning analytics models.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125668616","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}
The article deals with the didactic possibilities of a business game as a means of educational technology. The possibility of using a business game as a form of conducting seminars and practical classes in the study of the discipline "life safety" in higher educational institutions is substantiated. The use of pedagogical technologies allows the teacher to gain new opportunities to influence the traditional learning process and increase its effectiveness. We have applied and analyzed by anonymous questionnaire on the environment of medical students the effectiveness of application in practical classes of business game.
{"title":"Educational Technologies in Teaching the Subject \"Life Safety\"","authors":"J. Kamilova","doi":"10.14464/ess.v9i4.550","DOIUrl":"https://doi.org/10.14464/ess.v9i4.550","url":null,"abstract":"The article deals with the didactic possibilities of a business game as a means of educational technology. The possibility of using a business game as a form of conducting seminars and practical classes in the study of the discipline \"life safety\" in higher educational institutions is substantiated. The use of pedagogical technologies allows the teacher to gain new opportunities to influence the traditional learning process and increase its effectiveness. We have applied and analyzed by anonymous questionnaire on the environment of medical students the effectiveness of application in practical classes of business game.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129360589","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}
Automation of knowledge testing is one of the important tasks. There are special systems that allow you to test knowledge using a task generator. These systems use a special language similar to programming languages. An interpreter has been developed for the described language, which allows to translate the source text into an internal representation. This representation is transferred to the block in which the question is displayed, as well as the analysis of the student's answers. All tasks can contain random parameters, which makes the tasks unique. Each task can contain up to 16 types of answers. This article describes the system and language developed for knowledge testing. This system allows the student to display the algorithm for solving the problem step by step. The system also allows you to collect statistics of student responses.
{"title":"Description of The Task Generator for Testing Students' Knowledge","authors":"Radik Alkhamov","doi":"10.14464/ess.v9i4.563","DOIUrl":"https://doi.org/10.14464/ess.v9i4.563","url":null,"abstract":"Automation of knowledge testing is one of the important tasks. There are special systems that allow you to test knowledge using a task generator. These systems use a special language similar to programming languages. An interpreter has been developed for the described language, which allows to translate the source text into an internal representation. This representation is transferred to the block in which the question is displayed, as well as the analysis of the student's answers. All tasks can contain random parameters, which makes the tasks unique. Each task can contain up to 16 types of answers. This article describes the system and language developed for knowledge testing. This system allows the student to display the algorithm for solving the problem step by step. The system also allows you to collect statistics of student responses.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121734095","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}
Kai Xu, Jingfang Wei, Zeyu Hu, Jun A. Zhang, Haibin Wu, Y. Iwahori
In this paper, the projection distortion correction method of patient's body surface is studied. First, the applicability of four typical projection image distortion correction methods to different surfaces were compared. Secondly, Based on the correction method based on quadratic surface fitting, and a correction method based on point cloud mapping was designed, which uses structured light to extract the point cloud information on the surface of the projection screen for coordinate transformation. Combined with the depth information, it solves the distortion problem of complex surface projection images, expands the surface applicability of the correction method, and improves the correction accuracy and real-time performance. The projection distortion correction of different types of surfaces is realized by simulation, and the correction effect of the two methods is compared. The correction time is shortened from 67s to 7s by the correction method based on point cloud mapping. Finally, organ simulation experiment was used to verify the intraoperative feasibility, and the virtual "perspective" display effect was presented as a whole.
{"title":"A Novel Projection Distortion Correction Method on Patient's Body Surface","authors":"Kai Xu, Jingfang Wei, Zeyu Hu, Jun A. Zhang, Haibin Wu, Y. Iwahori","doi":"10.14464/ess.v9i3.578","DOIUrl":"https://doi.org/10.14464/ess.v9i3.578","url":null,"abstract":"In this paper, the projection distortion correction method of patient's body surface is studied. First, the applicability of four typical projection image distortion correction methods to different surfaces were compared. Secondly, Based on the correction method based on quadratic surface fitting, and a correction method based on point cloud mapping was designed, which uses structured light to extract the point cloud information on the surface of the projection screen for coordinate transformation. Combined with the depth information, it solves the distortion problem of complex surface projection images, expands the surface applicability of the correction method, and improves the correction accuracy and real-time performance. The projection distortion correction of different types of surfaces is realized by simulation, and the correction effect of the two methods is compared. The correction time is shortened from 67s to 7s by the correction method based on point cloud mapping. Finally, organ simulation experiment was used to verify the intraoperative feasibility, and the virtual \"perspective\" display effect was presented as a whole.","PeriodicalId":322203,"journal":{"name":"Embedded Selforganising Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127964787","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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