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In this systematic umbrella review we aggregate the current knowledge of how virtual and augmented reality technologies are applicable to and impact remote learning in higher education; specifically, how they impact such learning outcomes as performance and engagement in all stages of higher education from course preparation to student evaluation and grading. This review was done as part of a state wide research effort of Latvia, to mitigate the impact of COVID-19 and specifically to provide a framework for a technological transformation of education in this context. In this work we search the Scopus and Web of Science databases for articles describing the use of virtual and/or augmented reality technologies in remote learning for higher education and their impact on learning outcomes. We identified 68 articles from which, after multiple screening and eligibility phases, nine review articles were left for extraction phase in which 30 structural elements with corresponding interventions and measured effects were extracted. Of these, 24 interventions had a measured effect on student performance (11 positive, seven negative, six no impact) and six interventions had a measured effect on student engagement (all six positive).
Krisjanis Nesenbergs; Valters Abolins; Juris Ormanis; Artis Mednis. Use of Augmented and Virtual Reality in Remote Higher Education: A Systematic Umbrella Review. Education Sciences 2020, 11, 8 .
AMA StyleKrisjanis Nesenbergs, Valters Abolins, Juris Ormanis, Artis Mednis. Use of Augmented and Virtual Reality in Remote Higher Education: A Systematic Umbrella Review. Education Sciences. 2020; 11 (1):8.
Chicago/Turabian StyleKrisjanis Nesenbergs; Valters Abolins; Juris Ormanis; Artis Mednis. 2020. "Use of Augmented and Virtual Reality in Remote Higher Education: A Systematic Umbrella Review." Education Sciences 11, no. 1: 8.
Technologies, such as Wireless Sensor Networks (WSN) and Internet of Things (IoT), have captured the imagination of researchers, businesses, and general public, due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. In an ongoing research effort to highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a five-year period from 2013 to 2017 involving actual sensor network deployments, which will serve as a basis for future in-depth analysis of the field. In the first iteration, 15,010 potentially relevant articles were identified in SCOPUS and Web of Science databases; after two iterations, 3059 actual sensor network deployments were extracted from those articles and classified in a consistent way according to different categories, such as type of nodes, field of application, communication types, etc. We publish the resulting dataset with the intent that its further analysis may identify prospective research fields and future trends in WSN and IoT.
Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs; Krisjanis Nesenbergs. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data 2020, 5, 93 .
AMA StyleJanis Judvaitis, Artis Mednis, Valters Abolins, Ansis Skadins, Didzis Lapsa, Raimonds Rava, Maksims Ivanovs, Krisjanis Nesenbergs. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data. 2020; 5 (4):93.
Chicago/Turabian StyleJanis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs; Krisjanis Nesenbergs. 2020. "Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017." Data 5, no. 4: 93.
Due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years, technologies such as Wireless Sensor Networks (WSN) and Internet of Things (IoT) have captured the imagination of researchers, businesses, and general public. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. To highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a 5-year period from 2013 to 2017 involving actual sensor network deployments. In the first iteration, 15010 potentially relevant articles were identified in SCOPUS and Web of Science databases; after two iterations, 3059 actual sensor network deployments were extracted from those articles and classified in a consistent way according to different categories such as type of nodes, field of application, communication types, etc. We publish the resulting dataset with the intent that its further analysis may identify prospective research fields and future trends in WSN and IoT.
Krisjanis Nesenbergs; Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs. Classification of actual sensor network deployments in research studies from 2013 to 2017. 2020, 1 .
AMA StyleKrisjanis Nesenbergs, Janis Judvaitis, Artis Mednis, Valters Abolins, Ansis Skadins, Didzis Lapsa, Raimonds Rava, Maksims Ivanovs. Classification of actual sensor network deployments in research studies from 2013 to 2017. . 2020; ():1.
Chicago/Turabian StyleKrisjanis Nesenbergs; Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs. 2020. "Classification of actual sensor network deployments in research studies from 2013 to 2017." , no. : 1.
V Abolins; Krisjanis Nesenbergs; E Bernans. Reliability of Loading Rate in Gait Analysis. IOP Conference Series: Materials Science and Engineering 2019, 575, 1 .
AMA StyleV Abolins, Krisjanis Nesenbergs, E Bernans. Reliability of Loading Rate in Gait Analysis. IOP Conference Series: Materials Science and Engineering. 2019; 575 ():1.
Chicago/Turabian StyleV Abolins; Krisjanis Nesenbergs; E Bernans. 2019. "Reliability of Loading Rate in Gait Analysis." IOP Conference Series: Materials Science and Engineering 575, no. : 1.
Even though cooperative driving shows great promise in improving road safety and travel efficiency, full scale experimental testing of related algorithms after simulation phase is prohibitively expensive. Micro Intelligent Vehicles (MicroIV) are commonly used as a more cost efficient, easier and faster way to develop innovations in this field. As GPS is a crucial component in autonomous driving scenarios but is not practical for use at MicroIV scales, alternative solutions are needed. This paper proposes a scalable, low-cost positioning system based on image processing, that can be used as a replacement for GPS in indoor facilities.
Ivars Drikis; Ingars Ribners; Juris Ormanis; Krisjanis Nesenbergs. Scalable in-door positioning system for cooperative Micro Intelligent Vehicle algorithm development. 2018 16th Biennial Baltic Electronics Conference (BEC) 2018, 1 -4.
AMA StyleIvars Drikis, Ingars Ribners, Juris Ormanis, Krisjanis Nesenbergs. Scalable in-door positioning system for cooperative Micro Intelligent Vehicle algorithm development. 2018 16th Biennial Baltic Electronics Conference (BEC). 2018; ():1-4.
Chicago/Turabian StyleIvars Drikis; Ingars Ribners; Juris Ormanis; Krisjanis Nesenbergs. 2018. "Scalable in-door positioning system for cooperative Micro Intelligent Vehicle algorithm development." 2018 16th Biennial Baltic Electronics Conference (BEC) , no. : 1-4.
Wearable electronics have multiple benefits in medical applications, such as feedback, monitoring and prevention. The number of these devices in circulation is rapidly growing, emphasizing increasing problems in their use caused by one of two standard communication types - wireless communications and wired communications. These problems include obtrusiveness and inconvenient usage, limited bandwidth, privacy and security issues and relatively high energy consumption. Wireless communications are less secure, with a more limited bandwidth but more unobtrusive and convenient than wired ones. On the other hand, wired communications don't need so many batteries, thereby devices can be charged more rarely and provide more privacy. A third, emerging technology for wearable sensor network communication using the body itself as communication medium tries to solve these problems. The body coupled communications benefit from the communication privacy of the wired networks, while not requiring obtrusive wiring. Unfortunately this type of communication requires complex signal processing for reliable communications as the signal changes depending on the body parts connected. To solve this problem and allow more rapid adoption of body coupled communications in wearable electronics we develop a transfer function for calculating the parameters of human skin as data transmission medium, allowing more usable and privacy oriented communications between the wearable nodes. Additionally this has the potential of reducing the energy consumption of wearable devices making them more practical to use for a prolonged period of time as well as opening new applications as secure personal data exchange using touch.
Juris Ormanis; Krisjanis Nesenbergs. Human skin as data transmission medium for improved privacy and usability in wearable electronics. 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2018, 1 -6.
AMA StyleJuris Ormanis, Krisjanis Nesenbergs. Human skin as data transmission medium for improved privacy and usability in wearable electronics. 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA). 2018; ():1-6.
Chicago/Turabian StyleJuris Ormanis; Krisjanis Nesenbergs. 2018. "Human skin as data transmission medium for improved privacy and usability in wearable electronics." 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA) , no. : 1-6.
Nauris Dorbe; Ingars Ribners; Krisjanis Nesenbergs. Prospects of Improving the self-Driving Car Development Pipeline: Transfer of Algorithms from Virtual to Physical Environment. International Journal of Machine Learning and Computing 2018, 8, 181 -185.
AMA StyleNauris Dorbe, Ingars Ribners, Krisjanis Nesenbergs. Prospects of Improving the self-Driving Car Development Pipeline: Transfer of Algorithms from Virtual to Physical Environment. International Journal of Machine Learning and Computing. 2018; 8 (2):181-185.
Chicago/Turabian StyleNauris Dorbe; Ingars Ribners; Krisjanis Nesenbergs. 2018. "Prospects of Improving the self-Driving Car Development Pipeline: Transfer of Algorithms from Virtual to Physical Environment." International Journal of Machine Learning and Computing 8, no. 2: 181-185.
We propose an advanced Automatic number-plate recognition (ANPR) system, which not only recognizes the number and the issuing state, but also the type and location of the vehicle in the input image. The system is based on a combination of existing methods, modifications to neural network architectures and improvements in the training process. The proposed system uses machine-learning approach and consists of three main parts: segmentation of input image by Fully Convolutional Network for localization of license plate and determination of vehicle type; recognition of the characters of the localized plate by a Maxout CNN and LSTM; determination of the state that has issued the license plate by a CNN. The training of these neural network models is accomplished using a manually labeled custom dataset, which is expanded with data augmented techniques. The resulting system is capable of localizing and classifying multiple types of vehicles (including motorcycles and emergency vehicles) as well as their license plates. The achieved precision of the localization is 99.5%. The whole number recognition accuracy is 96.7% and character level recognition accuracy is 98.8%. The determination of issuing state is precise in 92.8% cases.
Nauris Dorbe; Aigars Jaundalders; Roberts Kadikis; Krisjanis Nesenbergs. FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country. Automatic Control and Computer Sciences 2018, 52, 146 -154.
AMA StyleNauris Dorbe, Aigars Jaundalders, Roberts Kadikis, Krisjanis Nesenbergs. FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country. Automatic Control and Computer Sciences. 2018; 52 (2):146-154.
Chicago/Turabian StyleNauris Dorbe; Aigars Jaundalders; Roberts Kadikis; Krisjanis Nesenbergs. 2018. "FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country." Automatic Control and Computer Sciences 52, no. 2: 146-154.
When developing a wireless sensor network or embedded device debugging and testing is a time consuming and complex process. It involves tedious routine works, especially when testing is done in real-world environment. To make things worse, simulations and emulations are not sufficient for deployment of new embedded devices, since they are too far from ever changing real world conditions. Some of those problems are solved by testbeds, allowing to increase the prototyping speed by quite a margin, but testbeds still operate in some-what semi real-world conditions due to limited mobility of testbed nodes. In this paper authors present an approach to provide testbed functionality in real-world environment without making any sacrifices on functionality. Authors provide the implementation and evaluation of mobile nodes proving that they can be used to prototype embedded devices in actual real-world scenarios while using all the functionality a stationary testbed provides.
Arnis Salmins; Janis Judvaitis; Rihards Balass; Krisjanis Nesenbergs. Mobile wireless sensor network TestBed. 2017 25th Telecommunication Forum (TELFOR) 2017, 1 -4.
AMA StyleArnis Salmins, Janis Judvaitis, Rihards Balass, Krisjanis Nesenbergs. Mobile wireless sensor network TestBed. 2017 25th Telecommunication Forum (TELFOR). 2017; ():1-4.
Chicago/Turabian StyleArnis Salmins; Janis Judvaitis; Rihards Balass; Krisjanis Nesenbergs. 2017. "Mobile wireless sensor network TestBed." 2017 25th Telecommunication Forum (TELFOR) , no. : 1-4.
To accurately determine current consumption of a device under test in a wireless sensor network testbed, the accuracy of the measurement device must be assessed. The implementation and operation of current measurement circuit of testbed and evaluate errors and possible improvements to reduce these errors have been described in this paper.
Didzis Lapsa; Rihards Balass; Janis Judvaitis; Krisjanis Nesenbergs. Measurement of current consumption in a wireless sensor network TestBed. 2017 25th Telecommunication Forum (TELFOR) 2017, 1 -4.
AMA StyleDidzis Lapsa, Rihards Balass, Janis Judvaitis, Krisjanis Nesenbergs. Measurement of current consumption in a wireless sensor network TestBed. 2017 25th Telecommunication Forum (TELFOR). 2017; ():1-4.
Chicago/Turabian StyleDidzis Lapsa; Rihards Balass; Janis Judvaitis; Krisjanis Nesenbergs. 2017. "Measurement of current consumption in a wireless sensor network TestBed." 2017 25th Telecommunication Forum (TELFOR) , no. : 1-4.
Valters Abolins; Krisjanis Nesenbergs; Edgars Bernans. On improving gait analysis data. Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18 2017, 215 -219.
AMA StyleValters Abolins, Krisjanis Nesenbergs, Edgars Bernans. On improving gait analysis data. Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18. 2017; ():215-219.
Chicago/Turabian StyleValters Abolins; Krisjanis Nesenbergs; Edgars Bernans. 2017. "On improving gait analysis data." Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18 , no. : 215-219.
Wireless sensor network (WSN) TestBed design challenges can be divided into three main sub-categories: architectural, hardware and software. By considering all these challenges, an optimal solution was found and EDI TestBed created. In this paper, a method, which solves software related problems in large scale WSN TestBed, such as how to distribute computational resources, control all of the TestBed devices and how to efficiently acquire and structure the data, is described. The experimental test results shows that proposed method is advantageous for large scale TestBeds (more than 20 sensor nodes), and its efficiency increases rapidly if the number of sensor nodes in TestBed increases.
Janis Judvaitis; Arnis Salmins; Krisjanis Nesenbergs. Network data traffic management inside a TestBed. 2016 Advances in Wireless and Optical Communications (RTUWO) 2016, 152 -155.
AMA StyleJanis Judvaitis, Arnis Salmins, Krisjanis Nesenbergs. Network data traffic management inside a TestBed. 2016 Advances in Wireless and Optical Communications (RTUWO). 2016; ():152-155.
Chicago/Turabian StyleJanis Judvaitis; Arnis Salmins; Krisjanis Nesenbergs. 2016. "Network data traffic management inside a TestBed." 2016 Advances in Wireless and Optical Communications (RTUWO) , no. : 152-155.
The field of wearable computing has great implications in the measurement of the human body and its surrounding environment, with potentially high impact in medical applications such as early detection, treatment, compliance monitoring, care for the frail and elderly, telemedicine, physical therapy, etc. Unfortunately, the field of wearable computing is still held back by the lack of a standardized framework and development process, forcing developers into custom and time intensive solutions. In this paper, the current progress of development of a universal smart textile system is discussed which would solve this problem and accelerate the field of smart wearable electronics, providing a universal platform for attaching several hundreds of sensors to clothing in convenient, unobtrusive and energy efficient ways. The main problems and potential solutions discussed in this article include power and data transfer wire topology, allowing the textile to be arbitrarily cut and sewn into smart clothing, data transmission architecture, providing high bandwidth and low energy data transfer, and support for miniaturization and elasticity, making the potential end product as unobtrusive as possible.
Krisjanis Nesenbergs. Architecture of smart clothing for standardized wearable sensor systems. IEEE Instrumentation & Measurement Magazine 2016, 19, 36 -64.
AMA StyleKrisjanis Nesenbergs. Architecture of smart clothing for standardized wearable sensor systems. IEEE Instrumentation & Measurement Magazine. 2016; 19 (5):36-64.
Chicago/Turabian StyleKrisjanis Nesenbergs. 2016. "Architecture of smart clothing for standardized wearable sensor systems." IEEE Instrumentation & Measurement Magazine 19, no. 5: 36-64.
J. Judvaitis; I. Homjakovs; R. Cacurs; K. Nesenbergs; A. Hermanis; K. Sudars. Improving object transparent vision using enhanced image selection. Automatic Control and Computer Sciences 2015, 49, 380 -389.
AMA StyleJ. Judvaitis, I. Homjakovs, R. Cacurs, K. Nesenbergs, A. Hermanis, K. Sudars. Improving object transparent vision using enhanced image selection. Automatic Control and Computer Sciences. 2015; 49 (6):380-389.
Chicago/Turabian StyleJ. Judvaitis; I. Homjakovs; R. Cacurs; K. Nesenbergs; A. Hermanis; K. Sudars. 2015. "Improving object transparent vision using enhanced image selection." Automatic Control and Computer Sciences 49, no. 6: 380-389.
J. Judvaitis; A. Hermanis; K. Nesenbergs; R. Cacurs; I. Homjakovs; K. Sudars. Object transparent vision combining multiple images from different views. Automatic Control and Computer Sciences 2015, 49, 313 -320.
AMA StyleJ. Judvaitis, A. Hermanis, K. Nesenbergs, R. Cacurs, I. Homjakovs, K. Sudars. Object transparent vision combining multiple images from different views. Automatic Control and Computer Sciences. 2015; 49 (5):313-320.
Chicago/Turabian StyleJ. Judvaitis; A. Hermanis; K. Nesenbergs; R. Cacurs; I. Homjakovs; K. Sudars. 2015. "Object transparent vision combining multiple images from different views." Automatic Control and Computer Sciences 49, no. 5: 313-320.
Field of wearable computing has great implications for medical applications, including early detection, treatment, compliance monitoring, care for the frail and elderly, telemedicine, physical therapy and many others. Unfortunately such wearable technology solutions are still custom made and time and resource intensive to develop. In this paper the current progress of development of a universal smart textile system is discussed which would solve this problem and accelerate the field of smart wearable electronics. Such a textile must be able to accommodate several hundreds of sensors, providing power and data transmission lines in such a way, that mass production of smart garments from such a textile is feasible. The main problems and potential solutions discussed in this article include topology, allowing the textile to be arbitrarily cut and sewn into smart clothing, data transmission architecture providing high bandwidth and low energy data transfer and support for miniaturization and elasticity, making the potential end product as unobtrusive as possible.
Krisjanis Nesenbergs; Leo Selavo. Smart textiles for wearable sensor networks: Review and early lessons. 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings 2015, 402 -406.
AMA StyleKrisjanis Nesenbergs, Leo Selavo. Smart textiles for wearable sensor networks: Review and early lessons. 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings. 2015; ():402-406.
Chicago/Turabian StyleKrisjanis Nesenbergs; Leo Selavo. 2015. "Smart textiles for wearable sensor networks: Review and early lessons." 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings , no. : 402-406.
Atis Hermanis; Ricards Cacurs; Krisjanis Nesenbergs; Modris Greitans; Emil Syundyukov; Leo Selavo. Wearable sensor grid architecture for body posture and surface detection and rehabilitation. Proceedings of the 14th International Conference on Information Processing in Sensor Networks 2015, 1 .
AMA StyleAtis Hermanis, Ricards Cacurs, Krisjanis Nesenbergs, Modris Greitans, Emil Syundyukov, Leo Selavo. Wearable sensor grid architecture for body posture and surface detection and rehabilitation. Proceedings of the 14th International Conference on Information Processing in Sensor Networks. 2015; ():1.
Chicago/Turabian StyleAtis Hermanis; Ricards Cacurs; Krisjanis Nesenbergs; Modris Greitans; Emil Syundyukov; Leo Selavo. 2015. "Wearable sensor grid architecture for body posture and surface detection and rehabilitation." Proceedings of the 14th International Conference on Information Processing in Sensor Networks , no. : 1.
Krisjanis Nesenbergs; A. Hermanis; M. Greitans. A Method for Segment Based Surface Reconstruction from Discrete Inclination Values. Elektronika ir Elektrotechnika 2014, 20, 1 .
AMA StyleKrisjanis Nesenbergs, A. Hermanis, M. Greitans. A Method for Segment Based Surface Reconstruction from Discrete Inclination Values. Elektronika ir Elektrotechnika. 2014; 20 (2):1.
Chicago/Turabian StyleKrisjanis Nesenbergs; A. Hermanis; M. Greitans. 2014. "A Method for Segment Based Surface Reconstruction from Discrete Inclination Values." Elektronika ir Elektrotechnika 20, no. 2: 1.
In this paper a method for efficient data acquisition from sensor network with large number of nodes is proposed. A specific design allows simple device connection in daisy-chain configuration, thus removing addressing problems and allowing synchronized sampling design using just 4 wires. Several limitations are considered to provide mathematical model for estimation of maximum number of sensor nodes. An experimental setup was designed which demonstrated theoretical ability to acquire data from up to 200 sensors with 50 Hz sampling rate using conventional low-cost hardware, however, more advanced setup could allow to increase maximum number of sensors several times. The wiring structure of the network as well as hardware is specifically designed for use in smart garments or similar applications that require sensor integration in compact environment and low-power, real-time performance.
A. Hermanis; Ricards Cacurs; Krisjanis Nesenbergs; M. Greitans. Efficient real-time data acquisition of wired sensor network with line topology. 2013 IEEE Conference on Open Systems (ICOS) 2013, 133 -138.
AMA StyleA. Hermanis, Ricards Cacurs, Krisjanis Nesenbergs, M. Greitans. Efficient real-time data acquisition of wired sensor network with line topology. 2013 IEEE Conference on Open Systems (ICOS). 2013; ():133-138.
Chicago/Turabian StyleA. Hermanis; Ricards Cacurs; Krisjanis Nesenbergs; M. Greitans. 2013. "Efficient real-time data acquisition of wired sensor network with line topology." 2013 IEEE Conference on Open Systems (ICOS) , no. : 133-138.
In this paper a new distributed architecture for real-time intelligent transport systems is proposed and implemented in test environment. This architecture provides data gathering, processing and distribution and other services critical for real-time intelligent transport systems, taking special care of reliability in real-time life-critical tasks.
Krisjanis Nesenbergs; Leo Selavo. A distributed data processing architecture for real time intelligent transport systems. 2013 Second International Conference on Informatics & Applications (ICIA) 2013, 155 -160.
AMA StyleKrisjanis Nesenbergs, Leo Selavo. A distributed data processing architecture for real time intelligent transport systems. 2013 Second International Conference on Informatics & Applications (ICIA). 2013; ():155-160.
Chicago/Turabian StyleKrisjanis Nesenbergs; Leo Selavo. 2013. "A distributed data processing architecture for real time intelligent transport systems." 2013 Second International Conference on Informatics & Applications (ICIA) , no. : 155-160.