Estimating Gridded Population using Mobile Station Data

2021 ◽  
Vol 23 (4) ◽  
pp. 1535-1548
Author(s):  
Dongchan Lee ◽  
Keewhan Kim
Keyword(s):  
Mobile Station ◽  
Station Data

SIMULASI NEURAL NETWORK UNTUK PREDIKSI LOKASI USER PADA MOBILE NETWORK

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Alexander Driyarkoro ◽  
Nurain Silalahi ◽  
Joko Haryatno
Keyword(s):  
Neural Network ◽  
Mobile Station ◽  
Mobile Network ◽  
Learning Rate ◽  
Noise Factor ◽  
Optimal Learning ◽  
Air Interface ◽  
Location Area ◽  
Optimal Learning Rate

Prediksi lokasi user pada mobile network merupakan hal sangat penting, karena routing panggilan pada mobile station (MS) bergantung pada posisi MS saat itu. Mobilitas MS yang cukup tinggi, terutama di daerah perkotaan, menyebabkan pencarian (tracking) MS akan berpengaruh pada kinerja sistem mobile network, khususnya dalam hal efisiensi kanal kontrol pada air interface. Salah satu bentuk pencarian adalah dengan mengetahui perilaku gerakan yang menentukan posisi MS. Dari MSC/VLR dapat diketahui posisi MS pada waktu tertentu. Karena location area suatu MS selalu unik dari waktu ke waktu, dan hal itu merupakan perilaku (behaviour) MS, maka dapat dibuat profil pergerakannya. Dengan menggunakan Neural Network (NN) akan diperoleh location area MS pada masa yang akan datang. Model NN yang digunakan pada penelitian ini adalah Propagasi Balik. Beberapa parameter NN yang diteliti dalam mempengaruhi kinerja prediksi lokasi user meliputi noise factor, momentum dan learning rate. Pada penelitian ini diperoleh nilai optimal learning rate = 0,5 dan noise factor = 1.

Design of Solar System for LTE Networks

2020 ◽  
Vol 11 (2) ◽  
pp. 1-15
Author(s):  
Naglaa Kamel Bahgaat ◽  
Nariman Abdel Salam ◽  
Monika Mady Roshdy ◽  
Sandy Abd Elrasheed Sakr
Keyword(s):  
Mobile Networks ◽  
Renewable Energy Sources ◽  
Mobile Station ◽  
Electrical Energy ◽  
Environmental Problems ◽  
Base Stations ◽  
Energy Sources ◽  
Solar Panels ◽  
Lte Networks ◽  
Photovoltaic Panel

Rapid growth in mobile networks and the increase of the number of cellular base stations requires more energy sources, but the traditional sources of energy cause pollution and environmental problems. Therefore, modern facilities tend to use renewable energy sources instead of traditional sources. One renewable source is the photovoltaic panel, which made from semiconductor materials which absorb sunlight to generate electricity. This article discusses the importance of using solar panels to produce energy for mobile stations and also a solution to some environmental problems such as pollution. This article provides a design for a solar-power plant to feed the mobile station. Also, in this article is a prediction of all loads, the power consumed, the number of solar panels used, and solar batteries can be used to store electrical energy. Finally, an estimation of the costs of all components will be presented. Good discussion and conclusion will be presented about the results obtained. The results obtained are promising. In addition, a future plan is described to complete this important study.

scholarly journals Can Gridded Precipitation Data and Phenological Observations Reduce Basis Risk of Weather Index–Based Insurance?

2016 ◽  
Vol 8 (4) ◽  
pp. 409-419 ◽  
Author(s):  
Tobias Dalhaus ◽  
Robert Finger
Keyword(s):  
Crop Production ◽  
Market Failure ◽  
Weather Station ◽  
Yield Losses ◽  
Grid Data ◽  
Weather Index ◽  
Basis Risk ◽  
Promising Alternative ◽  
Station Data ◽  
Adverse Weather

Abstract Adverse weather events occurring at sensitive stages of plant growth can cause substantial yield losses in crop production. Agricultural insurance schemes can help farmers to protect their income against downside risks. While traditional indemnity-based insurance schemes need governmental support to overcome market failure caused by asymmetric information problems, weather index–based insurance (WII) products represent a promising alternative. In WII the payout depends on a weather index serving as a proxy for yield losses. However, the nonperfect correlation of yield losses and the underlying index, the so-called basis risk, constitutes a key challenge for these products. This study aims to contribute to the reduction of basis risk and thus to the addition of risk-reducing properties of WII. More specifically, the study tests whether grid data for precipitation (vs weather station data) and phenological observations (vs fixed time windows for index determination) that are provided by public institutions can reduce spatial and temporal basis risk and thus improve the performance of WII. An empirical example of wheat production in Germany is used. No differences were found between using gridded and weather station precipitation, whereas the use of phenological observations significantly increases expected utility. However, even if grid data do not yet reduce basis risk, they enable overcoming several disadvantages of using station data and are thus useful for WII applications. Based on the study’s findings and the availability of these data in other countries, a massive potential for improving WII can be concluded.

scholarly journals On the robustness of the estimates of centennial-scale variability in heavy precipitation from station data over Europe

2005 ◽  
Vol 32 (14) ◽  
pp. n/a-n/a ◽  
Author(s):  
Olga Zolina ◽  
Clemens Simmer ◽  
Alice Kapala ◽  
Sergey Gulev
Keyword(s):  
Heavy Precipitation ◽  
Station Data

A mobile station modem VLSI for CDMA2000-1x

2002 ◽  
Author(s):  
Sung-Chul Han ◽  
Tae Hee Han ◽  
Yong-Chan Kim ◽  
Chul-Jin Kim ◽  
Kyung-Hal Lee ◽  
...  
Keyword(s):  
Mobile Station
Sign in / Sign up

Export Citation Format

Share Document