Storm drains and sanitary sewers are prone to backups overflows due extra amount wastewater entering the pipes. To prevent that, it is imperative efficiently monitor urban underground infrastructure. The combination of sensors system wireless communication can be used realize IoT applications, e.g., storm water overflow monitoring systems. aim this article establish a feasibility use communications techniques, wave propagation through subsurface soil asphalt layers, in an pavement for sewer...

Energy efficiency is vital for uninterrupted long-term operation of wireless underground communication nodes in the field decision agriculture. In this paper, energy harvesting and power transfer techniques are discussed with applications communications (UWC). Various external explored. Moreover, key technologies presented that utilize available sources such as vibration, solar, wind. regard, Electromagnetic (EM)- Magnetic Induction (MI)-based approaches explained. Furthermore,...

This paper studies a WiFi indoor localisation technique based on using deep learning model and its transfer strategies. We take CSI packets collected via the standard channel sounding as training dataset verify CNN subsets in three experimental environments. achieve accuracy of 46.55 cm an ideal (6.5m × 2.5m) office with no obstacles, 58.30 102.8 sports hall (40 35m). Then, we evaluate ability proposed to different The results show that, for trained model, feature extraction layers can be...

Energy autonomy and system lifetime are critical concerns in wireless sensor networks (WSNs), for which energy harvesting (EH) is emerging as a promising solution. Nevertheless, the tools supporting design of EH-WSNs limited to few simulators that require developers re-implement application with programming languages different from WSN ones. Further, notoriously provide only rough approximation reality low-power communication. In this paper we present SENSEH, software framework allows move...

Wireless Underground Communication (WUC) is an emerging field that being developed continuously. It provides secure mechanism of deploying nodes underground which shields them from any outside temperament or harsh weather conditions. This paper works towards introducing WUC and give a detail overview WUC. discusses system architecture along with the anatomy sensor motes deployed in systems. also compares Over-the-Air highlights major differences between both type channels. Since, UG...

In this article, the results of experiments for observation Zenneck surface waves in sub GHz frequency range using dipole antennas are presented. Experiments conducted over three different soils communications distances up to 1 m. This empirical analysis confirms existence soil surface. Through power delay profile (PDP) analysis, it has been shown that other subsurface components exhibit rapid decay as compared waves. A potential application energy transmission area decision agriculture is...

This paper studies the indoor localisation of WiFi devices based on a commodity chipset and standard channel sounding. First, we present novel shallow neural network (SNN) in which features are extracted from state information (CSI) corresponding to subcarriers received different antennas used train model. The single-layer architecture this makes it lightweight easy-to-deploy with stringent constraints computational resources. We further investigate for use deep learning models design...

Localization accuracy varies significantly across multiple radio and optical technologies. The choice of which technology is a best-fit for particular application not only based on the alone but also other factors including cost, availability in commodity hardware such as mobile phones, need to have pre-existing fixed infrastructure. As such, there no one-size-fits-all solution therefore we provide, from single indoor testbed, localization data collected three very different technologies...

Most Chest X-Rays (CXRs) are used to spot the existence of chest diseases by radiologists worldwide. Examining multiple X-rays at busiest medical facility may result in time and financial loss. Furthermore, detection disease, expert abilities attention needed. CXRs usually for heart lung region anomalies. In this research, multi-level Deep Learning ailment has been identify solutions these issues. Spotting anomalies with high precision automatically will significantly improve processes...

In recent years, much attention has been paid to wireless localization schemes that exploit receptions of messages sent by a mobile unit. However, existing methods assume an accurate knowledge the location unit and precise propagation model actual radio environment. By getting rid these two requirements, our proposed algorithms make mobility-assisted far more practical as we do not need equip with global positioning system or run time-consuming campaign survey LEMOn estimates position target...