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Mr. Krisjanis Nesenbergs
Institute of Electronics and Computer Science

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Research Keywords & Expertise

0 Embedded Systems
0 Human Computer Interaction
0 ITS
0 sensor networks
0 IoT

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sensor networks
IoT
Wireless sensor networks (WSNs)
Human Computer Interaction
wearable systems

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Review
Published: 31 December 2020 in Education Sciences
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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).

ACS Style

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 Style

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 (1):8.

Chicago/Turabian Style

Krisjanis 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.

Data descriptor
Published: 30 September 2020 in Data
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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.

ACS Style

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 Style

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 (4):93.

Chicago/Turabian Style

Janis 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.

Preprint
Published: 21 August 2020
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Krisjanis 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.

Conference paper
Published: 13 August 2019 in IOP Conference Series: Materials Science and Engineering
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ACS Style

V Abolins; Krisjanis Nesenbergs; E Bernans. Reliability of Loading Rate in Gait Analysis. IOP Conference Series: Materials Science and Engineering 2019, 575, 1 .

AMA Style

V Abolins, Krisjanis Nesenbergs, E Bernans. Reliability of Loading Rate in Gait Analysis. IOP Conference Series: Materials Science and Engineering. 2019; 575 ():1.

Chicago/Turabian Style

V Abolins; Krisjanis Nesenbergs; E Bernans. 2019. "Reliability of Loading Rate in Gait Analysis." IOP Conference Series: Materials Science and Engineering 575, no. : 1.

Conference paper
Published: 01 October 2018 in 2018 16th Biennial Baltic Electronics Conference (BEC)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Ivars 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.

Proceedings article
Published: 01 June 2018 in 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Juris 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.

Journal article
Published: 01 April 2018 in International Journal of Machine Learning and Computing
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ACS Style

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 Style

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 (2):181-185.

Chicago/Turabian Style

Nauris 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.

Journal article
Published: 01 March 2018 in Automatic Control and Computer Sciences
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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.

ACS Style

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 Style

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 (2):146-154.

Chicago/Turabian Style

Nauris 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.

Proceedings article
Published: 01 November 2017 in 2017 25th Telecommunication Forum (TELFOR)
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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.

ACS Style

Arnis Salmins; Janis Judvaitis; Rihards Balass; Krisjanis Nesenbergs. Mobile wireless sensor network TestBed. 2017 25th Telecommunication Forum (TELFOR) 2017, 1 -4.

AMA Style

Arnis Salmins, Janis Judvaitis, Rihards Balass, Krisjanis Nesenbergs. Mobile wireless sensor network TestBed. 2017 25th Telecommunication Forum (TELFOR). 2017; ():1-4.

Chicago/Turabian Style

Arnis Salmins; Janis Judvaitis; Rihards Balass; Krisjanis Nesenbergs. 2017. "Mobile wireless sensor network TestBed." 2017 25th Telecommunication Forum (TELFOR) , no. : 1-4.

Conference paper
Published: 01 November 2017 in 2017 25th Telecommunication Forum (TELFOR)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Didzis 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.

Conference paper
Published: 01 January 2017 in Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18
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ACS Style

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 Style

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.

Chicago/Turabian Style

Valters 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.

Proceedings article
Published: 01 November 2016 in 2016 Advances in Wireless and Optical Communications (RTUWO)
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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.

ACS Style

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 Style

Janis 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 Style

Janis Judvaitis; Arnis Salmins; Krisjanis Nesenbergs. 2016. "Network data traffic management inside a TestBed." 2016 Advances in Wireless and Optical Communications (RTUWO) , no. : 152-155.

Journal article
Published: 30 September 2016 in IEEE Instrumentation & Measurement Magazine
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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.

ACS Style

Krisjanis Nesenbergs. Architecture of smart clothing for standardized wearable sensor systems. IEEE Instrumentation & Measurement Magazine 2016, 19, 36 -64.

AMA Style

Krisjanis Nesenbergs. Architecture of smart clothing for standardized wearable sensor systems. IEEE Instrumentation & Measurement Magazine. 2016; 19 (5):36-64.

Chicago/Turabian Style

Krisjanis Nesenbergs. 2016. "Architecture of smart clothing for standardized wearable sensor systems." IEEE Instrumentation & Measurement Magazine 19, no. 5: 36-64.

Journal article
Published: 01 November 2015 in Automatic Control and Computer Sciences
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ACS Style

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 Style

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 (6):380-389.

Chicago/Turabian Style

J. 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.

Journal article
Published: 01 September 2015 in Automatic Control and Computer Sciences
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ACS Style

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 Style

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 (5):313-320.

Chicago/Turabian Style

J. 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.

Conference paper
Published: 01 May 2015 in 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Krisjanis 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.

Conference paper
Published: 13 April 2015 in Proceedings of the 14th International Conference on Information Processing in Sensor Networks
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ACS Style

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 Style

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.

Chicago/Turabian Style

Atis 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.

Journal article
Published: 11 February 2014 in Elektronika ir Elektrotechnika
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ACS Style

Krisjanis Nesenbergs; A. Hermanis; M. Greitans. A Method for Segment Based Surface Reconstruction from Discrete Inclination Values. Elektronika ir Elektrotechnika 2014, 20, 1 .

AMA Style

Krisjanis 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 Style

Krisjanis Nesenbergs; A. Hermanis; M. Greitans. 2014. "A Method for Segment Based Surface Reconstruction from Discrete Inclination Values." Elektronika ir Elektrotechnika 20, no. 2: 1.

Conference paper
Published: 01 December 2013 in 2013 IEEE Conference on Open Systems (ICOS)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

A. 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.

Conference paper
Published: 01 September 2013 in 2013 Second International Conference on Informatics & Applications (ICIA)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Krisjanis 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.