APPLICATION OF WIRELESS COMMUNICATION TECHNOLOGY IN ELECTROMAGNETIC WAVE TRANSMISSION AND SCATTERING MACHINERY

To solve the problem of digital debugging on bullet trans.A technology based on wireless communication in the detection and debugging for control system on bullet trains is proposed.The method is used to communicate between the wireless device on the host computer and the debugging equipment in the train, and the host computer can communicate with debugging equipment inside or outside the train.In the communication process, the environmental compartments need to be considered.The mathematical model is established based on the environment inside and outside the train for numerical calculation.The plane electromagnetic wave theory and the Fresnel formula is used for simulation analysis.The electromagnetic wave inside and outside the train is simulated with MATLAB.Finally the field test is carried on. the result shows that the technology can be effectively applied in the detection and debugging for control system on the train .

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Electromagnetic wave transmission

AccessScience ◽

10.1036/1097-8542.222900 ◽

2015 ◽

Keyword(s):

Electromagnetic Wave ◽

Wave Transmission

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Wireless Communication Technology as Applied to Head Mounted Display for a Tactical Fighter Pilot

10.21236/ada444577 ◽

2005 ◽

Author(s):

Gurdial Saini

Keyword(s):

Wireless Communication ◽

Communication Technology ◽

Head Mounted Display

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Applications of Smart Helmet in Applied Sciences: A Systematic Review

Applied Sciences ◽

10.3390/app11115039 ◽

2021 ◽

Vol 11 (11) ◽

pp. 5039

Author(s):

Yosoon Choi ◽

Yeanjae Kim

Keyword(s):

Applied Sciences ◽

Wireless Communication ◽

Communication Technology ◽

Academic Research ◽

Current Status ◽

Smart Devices ◽

The Past ◽

Modular Concept ◽

Research Questions ◽

Cloud Servers

A smart helmet is a wearable device that has attracted attention in various fields, especially in applied sciences, where extensive studies have been conducted in the past decade. In this study, the current status and trends of smart helmet research were systematically reviewed. Five research questions were set to investigate the research status of smart helmets according to the year and application field, as well as the trend of smart helmet development in terms of types of sensors, microcontrollers, and wireless communication technology. A total of 103 academic research articles published in the past 11 years (2009–2020) were analyzed to address the research questions. The results showed that the number of smart helmet applications reported in literature has been increasing rapidly since 2018. The applications have focused mostly on ensuring the safety of motorcyclists. A single-board-based modular concept unit, such as the Arduino board, and sensor for monitoring human health have been used the most for developing smart helmets. Approximately 85% of smart helmets have been developed to date using wireless communication technology to transmit data obtained from smart helmets to other smart devices or cloud servers.

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REVISITING THE PLANE ELECTROMAGNETIC WAVE TRANSMISSION AND REFLECTION COEFFICIENTS FOR THE LAYER WITH AN ALTERNATING-SIGN DISTURBANCE OF RELATIVE DIELECTRIC PERMITTIVITY

Journal of Physics Conference Series ◽

10.1088/1742-6596/803/1/012098 ◽

2017 ◽

Vol 803 ◽

pp. 012098

Author(s):

V R Milov ◽

L P Kogan ◽

P V Gorev ◽

P N Kuzmichev ◽

P A Egorova

Keyword(s):

Electromagnetic Wave ◽

Dielectric Permittivity ◽

Plane Electromagnetic Wave ◽

Wave Transmission ◽

Reflection Coefficients ◽

Relative Dielectric Permittivity ◽

Transmission And Reflection Coefficients ◽

Transmission And Reflection

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Measuring Dynamic Sales Impacts of LBA Using Wireless Communication Technology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.662.896 ◽

2013 ◽

Vol 662 ◽

pp. 896-901

Author(s):

Zong Jin Liu ◽

Yang Yang ◽

Zheng Fang ◽

Yan Yan Xu

Keyword(s):

Wireless Communication ◽

Error Correction ◽

Communication Technology ◽

Dynamic Error ◽

Rapid Development ◽

Vector Autoregressive ◽

Vector Error Correction ◽

Vector Error ◽

Equilibrium Relationship

Because of rapid development of wireless communication technology, there is an increasing adoption of mobile advertising, such as location based advertising (LBA). To what extent can LBA improve advertising effectiveness is an important topic in the field of wireless communication technology research. Most researches quantify long term impacts of advertisings by VAR (Vector Autoregressive) model. However, compared to VAR model, VECM (Vector Error Correction Model) is a better method in that it allows one to estimate both a long-term equilibrium relationship and a short-term dynamic error correction process. In this study, we employ VECM to explore LBA’s (Location Based Advertising) and PUA’s (Pop-up Advertising) sales impact in both short and long terms. The developed VECM reveals that LBA’s sales impact is about more than2 times as big as PUA’s in short dynamic term and nearly 6 times bigger than PUA’s in long equilibrium term. These findings add to advertising and VECM literatures. These results can give managers more confident to apply wireless communication technology to advertising.

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