scholarly journals Hierarchical Subchannel Allocation for Mode-3 Vehicle-to-Vehicle Sidelink Communications

2017 ◽  
Author(s):  
Luis F. Abanto-Leon ◽  
Arie Koppelaar ◽  
Sonia Heemstra de Groot
Keyword(s):  
Vehicle To Vehicle ◽  
Mode 3 ◽  
Subchannel Allocation

HUBUNGAN ANTARA CONSUMPTION ABROAD (MODA 2) DENGAN COMMERCIAL PRESENCE (MODA 3) DI SEKTOR JASA PARIWISATA INDONESIA

2016 ◽  
Vol 10 (1) ◽  
pp. 45-62
Author(s):  
Muhammad Fawaiq
Keyword(s):  
Vector Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Mode 2 ◽  
Variable Mode ◽  
Causality Relationship ◽  
Mode 3

Penelitian ini bertujuan untuk menganalisis hubungan antara Moda 2 dan Moda 3 dalam perdagangan internasional di sektor jasa pariwisata. Metode penelitian yang digunakan dalam penelitian ini adalah Panel Vector Error Correction Model (VECM) Granger. Data yang digunakan adalah data kedatangan wisatawan mancanegara dan Foreign Direct Investment (FDI) jasa hotel dan restoran tahun 1997-2014 di Bali, Jakarta, Kepulauan Riau dan Sumatera Utara. Daerah-daerah ini berkontribusi sebesar 81,26% dari total kedatangan wisatawan mancanegara di Indonesia dan 68% terhadap total FDI di jasa hotel dan restoran Indonesia. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan kausalitas jangka pendek antara kedua variabel tetapi terdapat hubungan jangka panjang satu arah yaitu variabel Moda 3 dipengaruhi oleh variabel Moda 2. Hasil pengujian pada gabungan antara jangka panjang dan jangka pendek menujukkan bahwa variabel Moda 3 secara kuat dipengaruhi oleh variabel Moda 2. Dengan demikian diketahui bahwa semakin banyak jumlah wisatawan mancanegara yang datang ke Indonesia maka akan mendorong meningkatnya FDI di jasa hotel dan restoran, tetapi meningkatnya FDI di jasa tersebut tidak signifikan berpengaruh terhadap masuknya jumlah wisatawan mancanegara. This paper examines the relationship between Mode 2 and Mode 3 of international trade in tourism sector. The method used is the Panel Vector Error Correction Model (VECM) Granger. The data used in this study were the number of foreign tourist arrivals and the Foreign Direct Investment (FDI) in some hotels and restaurants during 1997-2014 in Bali, Jakarta, Riau Islands and Nort Sumatera.These regions contributed for 81.26% out of the total tourist arrivals in Indonesia and 68% of the total FDI in the services of hotels and restaurants Indonesia. The results using VECM Granger demonstrated that there was no short-term causality relationship between these two variables but they had a long-term causality relationship that the Moda 3 was affected by the variable mode 2. Test results on a combination of long-term and short-term showed that the variable mode 3 was strongly influenced by variable mode 2. Thus, it is known that the more foreign tourists coming to Indonesia, the more FDI we gained from the service of hotels and restaurants, but this increase does not significantly affect the number of foreign tourists.

FPGA Based Vehicle to Vehicle Communication in Spartan 3E

2020 ◽  
Vol 8 ◽  
pp. 14-21
Author(s):  
Surya Man Koju ◽  
Nikil Thapa
Keyword(s):  
Signal Processing ◽  
Autonomous Vehicle ◽  
Processing Unit ◽  
Warning Signals ◽  
Vehicle Communication ◽  
Digital Vlsi ◽  
Vehicle To Vehicle ◽  
Vehicle Operation ◽  
Vehicle Technology ◽  
The Voice

This paper presents economic and reconfigurable RF based wireless communication at 2.4 GHz between two vehicles. It implements digital VLSI using two Spartan 3E FPGAs, where one vehicle receives the information of another vehicle and shares its own information to another vehicle. The information includes vehicle’s speed, location, heading and its operation, such as braking status and turning status. It implements autonomous vehicle technology. In this work, FPGA is used as central signal processing unit which is interfaced with two microcontrollers (ATmega328P). Microcontroller-1 is interfaced with compass module, GPS module, DF Player mini and nRF24L01 module. This microcontroller determines the relative position and the relative heading as seen from one vehicle to another. Microcontroller-2 is used to measure the speed of vehicle digitally. The resulting data from these microcontrollers are transmitted separately and serially through UART interface to FPGA. At FPGA, different signal processing such as speed comparison, turn comparison, distance range measurement and vehicle operation processing, are carried out to generate the voice announcement command, warning signals, event signals, and such outputs are utilized to warn drivers about potential accidents and prevent crashes before event happens.

An Adaptive Spatial Subchannel Allocation Algorithm Based on Mean Feedback Model

2011 ◽  
Vol 30 (1) ◽  
pp. 63-66
Author(s):  
Xiao-feng Lu ◽  
Guang-xi Zhu ◽  
Guo-qin Ning ◽  
Zan Li
Keyword(s):  
Allocation Algorithm ◽  
Feedback Model ◽  
Subchannel Allocation

Neanderthals and modern humans

2017 ◽  
Author(s):  
Francisco J. Ayala ◽  
Camilo J. Cela-Conde
Keyword(s):  
Genetic Differentiation ◽  
Nuclear Dna ◽  
Homo Sapiens ◽  
Whole Genome ◽  
Upper Palaeolithic ◽  
Modern Humans ◽  
Homo Neanderthalensis ◽  
Modern Mind ◽  
Similarities And Differences ◽  
Mode 3

This chapter deals with the similarities and differences between Homo neanderthalensis and Homo sapiens, by considering genetic, brain, and cognitive evidence. The genetic differentiation emerges from fossil genetic evidence obtained first from mtDNA and later from nuclear DNA. With high throughput whole genome sequencing, sequences have been obtained from the Denisova Cave (Siberia) fossils. Nuclear DNA of a third species (“Denisovans”) has been obtained from the same cave and used to define the phylogenetic relationships among the three species during the Upper Palaeolithic. Archaeological comparisons make it possible to advance a four-mode model of the evolution of symbolism. Neanderthals and modern humans would share a “modern mind” as defined up to Symbolic Mode 3. Whether the Neanderthals reached symbolic Mode 4 remains unsettled.

LTE-V2X Mode 3 scheduling based on adaptive spatial reuse of radio resources

2020 ◽  
pp. 102351
Author(s):  
Daniel Sempere-García ◽  
Miguel Sepulcre ◽  
Javier Gozalvez
Keyword(s):  
Spatial Reuse ◽  
Radio Resources ◽  
Mode 3

scholarly journals Analysis of Non-Stationarity for 5.9 GHz Channel in Multiple Vehicle-to-Vehicle Scenarios

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3626
Author(s):  
Fang Li ◽  
Wei Chen ◽  
Yishui Shui
Keyword(s):  
Transmission Rate ◽  
Radio Channel ◽  
Vertical Direction ◽  
Statistical Characteristics ◽  
Small Scale ◽  
Delay Spread ◽  
Important Indicator ◽  
Power Delay Profile ◽  
Channel Characteristics ◽  
Vehicle To Vehicle

The vehicle-to-vehicle (V2V) radio channel is non-stationary due to the rapid movement of vehicles. However, the stationarity of the V2V channels is an important indicator of the V2V channel characteristics. Therefore, we analyzed the non-stationarity of V2V radio channels using the local region of stationarity (LRS). We selected seven scenarios, including three directions of travel, i.e., in the same, vertical, and opposite directions, and different speeds and environments in a similar driving direction. The power delay profile (PDP) and LRS were estimated from the measured channel impulse responses. The results show that the most important influences on the stationary times are the direction and the speed of the vehicles. The average stationary times for driving in the same direction range from 0.3207 to 1.9419 s, the average stationary times for driving in the vertical direction are 0.0359–0.1348 s, and those for driving in the opposite direction are 0.0041–0.0103 s. These results are meaningful for the analysis of the statistical characteristics of the V2V channel, such as the delay spread and Doppler spread. Small-scale fading based on the stationary times affects the quality of signals transmitted in the V2V channel, including the information transmission rate and the information error code rate.

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