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- Keyword
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- Agriculture (3)
- Broadband antennas (3)
- Dielectric (3)
- Dipole antennas (3)
- Internet of Things (3)
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- Moisture (3)
- Permittivity (3)
- Soil (3)
- Underground communication (3)
- Internet of Underground Things (2)
- Underground Communications (2)
- Wireless Underground Channel (2)
- #antcenter (1)
- Atmospheric compensation (1)
- Digital Agriculture (1)
- Digital agriculture (1)
- Dimension reduction (1)
- Electromagnetic waves (1)
- Hyperspectral imagery (1)
- Neural networks (1)
- Over-the-air wireless (1)
- Sensors for real-time monitoring of soil (1)
- Signals in the soil (1)
- Subsurface antenna (1)
- Sustainability (1)
- Underground sensing (1)
- Wireless underground communications (1)
Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Electromagnetic Characteristics Of The Soil, Abdul Salam, Usman Raza
Electromagnetic Characteristics Of The Soil, Abdul Salam, Usman Raza
Faculty Publications
The electromagnetic characteristics of the soil are discussed in this chapter. The characteristics of porous bedrock, soil medium, and impacts of rain attenuations are also presented. The models of dielectric soil properties are studied with a rigorous focus on the constitutive parameters of subsurface soil medium. Moreover, the permittivity and wavenumber in soil are explained. In addition, the frequency-dependent dielectric properties such as dispersion in soil, absorption characteristic, and penetration depth versus frequency are reviewed. Furthermore, the effective permittivity of soil–water mixture for through-the soil-propagation mechanism is analyzed thoroughly.
Underground Phased Arrays And Beamforming Applications, Abdul Salam, Usman Raza
Underground Phased Arrays And Beamforming Applications, Abdul Salam, Usman Raza
Faculty Publications
This chapter presents a framework for adaptive beamforming in underground communication. The wireless propagation is thoroughly analyzed to develop a model using the soil moisture as an input parameter to provide feedback mechanism while enhancing the system performance. The working of array element in the soil is analyzed. Moreover, the effect of soil texture and soil moisture on the resonant frequency and return loss is studied in detail. The wave refraction from the soil–air interface highly degrades the performance of the system. Furthermore, to beam steering is done to achieve high gain for lateral component improving the UG communication. The …
Signals In The Soil: An Introduction To Wireless Underground Communications, Abdul Salam, Usman Raza
Signals In The Soil: An Introduction To Wireless Underground Communications, Abdul Salam, Usman Raza
Faculty Publications
In this chapter, wireless underground (UG) communications are introduced. A detailed overview of WUC is given. A comprehensive review of research challenges in WUC is presented. The evolution of underground wireless is also discussed. Moreover, different component of UG communications is wireless. The WUC system architecture is explained with a detailed discussion of the anatomy of an underground mote. The examples of UG wireless communication systems are explored. Furthermore, the differences of UG wireless and over-the-air wireless are debated. Different types of wireless underground channel (e.g., In-Soil, Soil-to-Air, and Air-to-Soil) are reported as well.
Modulation Schemes And Connectivity In Wireless Underground Channel, Abdul Salam, Usman Raza
Modulation Schemes And Connectivity In Wireless Underground Channel, Abdul Salam, Usman Raza
Faculty Publications
In this chapter, a thorough treatment of the modulation schemes for UG Wireless is presented. The effects of soil texture and water content on the capacity of multi-carrier modulation in WUC are discussed. The multi-carrier capacity model results are analyzed. Moreover, the underground MIMO design for underground communications is explained thoroughly. An analysis of medium access in wireless underground is done as well. Furthermore, the soil properties are considered for cross-layer communications of UG wireless. The performance analysis of traditional modulation schemes is also considered. The soil moisture-based modulation approach is also explored in this chapter. The connectivity and diversity …
Current Advances In Internet Of Underground Things, Abdul Salam, Usman Raza
Current Advances In Internet Of Underground Things, Abdul Salam, Usman Raza
Faculty Publications
The latest developments in Internet of Underground Things are covered in this chapter. First, the IOUT Architecture is discussed followed by the explanation of the challenges being faced in this paradigm. Moreover, a comprehensive coverage of the different IOUT components is presented that includes communications, sensing, and system integration with the cloud. An in-depth coverage of the applications of the IOUT in various disciplines is also surveyed. These applications include areas such as decision agriculture, pipeline monitoring, border control, and oil wells.
Wireless Underground Channel Modeling, Abdul Salam, Usman Raza
Wireless Underground Channel Modeling, Abdul Salam, Usman Raza
Faculty Publications
A comprehensive treatment of wireless underground channel modeling is presented in this chapter. The impacts of the soil on bandwidth and path loss are analyzed. A mechanism for the UG channel sounding and multipath characteristics analysis is discussed. Moreover, novel time-domain impulse response model for WUC is reviewed with the explanation of model parameters and statistics. Furthermore, different types of the through-the-soil wireless communications are surveyed. Finally, the chapter concludes with discussion of the UG wireless statistical model and path loss model for through-the-soil wireless communications in decision agriculture. The model presented in this chapter is also validated with empirical …
Learning Set Representations For Lwir In-Scene Atmospheric Compensation, Nicholas M. Westing [*], Kevin C. Gross, Brett J. Borghetti, Jacob A. Martin, Joseph Meola
Learning Set Representations For Lwir In-Scene Atmospheric Compensation, Nicholas M. Westing [*], Kevin C. Gross, Brett J. Borghetti, Jacob A. Martin, Joseph Meola
Faculty Publications
Atmospheric compensation of long-wave infrared (LWIR) hyperspectral imagery is investigated in this article using set representations learned by a neural network. This approach relies on synthetic at-sensor radiance data derived from collected radiosondes and a diverse database of measured emissivity spectra sampled at a range of surface temperatures. The network loss function relies on LWIR radiative transfer equations to update model parameters. Atmospheric predictions are made on a set of diverse pixels extracted from the scene, without knowledge of blackbody pixels or pixel temperatures. The network architecture utilizes permutation-invariant layers to predict a set representation, similar to the work performed …