Climatology of ionosphere over Nepal based on GPS TEC data from 
2008 to 2018

Pandit, Drabindra; Ghimire, Basudev; Mazaudier, Christine; Fleury, Rolland; Chapagain, Narayan P.; Adhikari, Binod

doi:10.5194/angeo-2020-82

Cited by 2 publications

(2 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ere are two di erent collisions in the RFID system: the collision generated by the reader and the collision generated by the electronic tag [22]. e collision prevention method can eliminate the collision between tags or readers in four ways [23], as shown in Figure 3.…”

Section: Collision Prevention Technologymentioning

confidence: 99%

Application of Internet of Things Combined with Wireless Network Technology in Volleyball Teaching and Training

Zhang

Jiao

Hui

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Motion information collection technology is a means for measuring, tracking, and recording the movement traces of individuals in space. This method can complete the data collection of volleyball players and the ball trajectory and realize quantification and statistical analysis of the data to present a virtual model of the player’s movement trajectory. It is inseparable from the acquisition of information to complete the information collection. Therefore, this work uses the radio frequency identification (RFID) technology in the Internet of Things technology to build an information collection system and apply it to volleyball sports. The existing positioning system based on RFID has problems such as significant positioning errors and high system costs due to the arrangement of a large number of readers. This paper first introduces the theoretical knowledge of the RFID system, wireless network positioning technology, and RFID system positioning method in the Internet of Things. Besides, the theoretical framework of the volleyball movement information acquisition system is presented based on the Received Signal Strength Indication of the RFID system and Location Identification based on the Dynamic Active RFID Calibration (LANDMARC) algorithm. Then, the LANDMARC algorithm is improved through the Centroid Positioning algorithm, forming the CP-LANDMARC algorithm. Finally, a simulation experiment is conducted to test the system effect. The results demonstrate that: (1) the average error of the basic LANDMARC algorithm is 0.55 meters, and the average error of the CP-LANDMARC algorithm is 0.46 meters; (2) the average error of the CP-LANDMARC algorithm is 0.43 meters when the reference label is set to be evenly distributed in a square, and the average error of the optimized algorithm is 0.38 m when the reference label is set as an equilateral triangle; and (3) when the number of reference labels increases to 110, the average error decreases from 0.38 to 0.29. This paper aims to improve the quality of volleyball teaching and training by designing a relevant sports information acquisition system.

show abstract

Section: Collision Prevention Technologymentioning

confidence: 99%

Application of Internet of Things Combined with Wireless Network Technology in Volleyball Teaching and Training

Zhang

Jiao

Hui

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…A model using an empirical orthogonal function was developed by Jamjareegulgarn et al [12] to forecast TEC over Nepal. The climatology of TEC over Nepal was studied by Pandit et al [13] using a solar cycle GPS data.…”

Section: Introductionmentioning

confidence: 99%

VTEC observations of intense geomagnetic storms above Nepal: comparison with satellite data, CODE and IGSG models

et al. 2022

View full text Add to dashboard Cite

In each period, there are quiet geomagnetic days and intense geomagnetic stormy days. The VTEC observed during these periods has observed both positive and negative ionospheric storms. We compared VTEC Receiver-Independent Exchange Format (RINEX) observations with the Global Ionospheric Map (GIM), Centre for Orbit Determination in Europe (CODE), and IGS working group (IGSG). We found in RINEX observation of the VTEC a noon bite out profile with predominance of morning and afternoon peaks and a nighttime peak, but this was not noticeable clearly with CODE and IGSG models. The comparison between RINEX TEC, CODE, and IGSG models shows that the GIM model does not estimate RINEX VTEC over Nepal. The disagreement between VTEC CODE/IGSG and VTEC RINEX is important during geomagnetically quiet periods, while there is good agreement between VTEC CODE/IGSG and VTEC RINEX during strong geomagnetic storms. We also find a greater disagreement between the models and the data at the equinoxes when the VTEC is larger. It is, therefore, necessary to introduce data from Nepal stations into the models CODE and IGSG in order to improve them.

show abstract

Climatology of ionosphere over Nepal based on GPS TEC data from 2008 to 2018

Cited by 2 publications

References 40 publications

Application of Internet of Things Combined with Wireless Network Technology in Volleyball Teaching and Training

Application of Internet of Things Combined with Wireless Network Technology in Volleyball Teaching and Training

VTEC observations of intense geomagnetic storms above Nepal: comparison with satellite data, CODE and IGSG models

Contact Info

Product

Resources

About