A Neural Network Approach for ETA Prediction in Inland Waterway Transport

Ensuring the accuracy of the estimated time of arrival (ETA) information for ships approaching ports and inland terminals is increasingly critical today. Waterway transportation plays a vital role in freight transportation and has a significant ecological impact. Improving the accuracy of ETA predictions can enhance the reliability of inland...

Prediction of estimated time of arrival for multi-airport systems via “Bubble” mechanism

Predicting Estimated Time of Arrival (ETA) for a Multi-Airport System (MAS) is much more challenging than for a single airport system because of complex air route structure, dense air traffic volume and vagaries of traffic conditions in an MAS. In this work, we propose a novel “Bubble” mechanism to accurately predict medium-term ETA for a...

Proof of Delivery Smart Contract for Performance Measurements

The growth of the enterprise blockchain research supporting supply chain management calls for investigations of their impact and mindfulness of their design, use cases, and pilots. With a blockchain design for the Proof of Delivery (PoD) process management, this paper contributes to learning about performance measurement and the transaction...

Acoustic emission source location using Lamb wave propagation simulation and artificial neural network for I-shaped steel girder

Acoustic emission (AE) is often used for structural health monitoring (SHM) in the wide field of engineering structures and one of its most beneficial attributes is the ability to localize the damage/crack based on the AE events. The vast majority of ongoing work on AE monitoring focues on geometrically simple structures or a confined area,...

Analysis of multipath channel delay estimation using subspace fitting

The presence of rich scattering in indoor and urban radio propagation scenarios may cause a high arrival density of multipath components (MPCs). Often the MPCs arrive in clusters at the receiver, where MPCs within one cluster have similar angles and delays. The MPCs arriving within a single cluster are typically unresolvable in the delay domain....

Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise

The multipath radio channel is considered to have a non-bandlimited channel impulse response. Therefore, it is challenging to achieve high resolution time-delay (TD) estimation of multipath components (MPCs) from bandlimited observations of communication signals. It this paper, we consider the problem of multiband channel sampling and TD...

Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging

In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information about radio-frequency chain distortions and...

Multiresolution Time-of-arrival Estimation from Multiband Radio Channel Measurements

Achieving high resolution time-of-arrival (TOA) estimation in multipath propagation scenarios from bandlimited observations of communication signals is challenging because the multipath channel impulse response (CIR) is not bandlimited. Modeling the CIR as a sparse sequence of Diracs, TOA estimation becomes a problem of parametric spectral...

A Low-Complexity CMOS Receiver for UWB signals

It is well-known that GPS is a widely used technology for localization in outdoors environments. Nonetheless, such standard fails to provide a practical and accurate solution for localization and ranging applications within indoor environments due to the need of satellites and meter-level accuracy, which is poor for indoor environments. It is in...

UWB pulse detection and TOA estimation using GLRT

In this paper, a novel statistical approach is presented for time-of-arrival (TOA) estimation based on first path (FP) pulse detection using a sub-Nyquist sampling ultra-wide band (UWB) receiver. The TOA measurement accuracy, which cannot be improved by averaging of the received signal, can be enhanced by the statistical processing of a...

Structured Total Least Squares Based Internal Delay Estimation For Distributed Microphone Auto-Localization

Auto-localization in wireless acoustic sensor networks (WASNs) can be achieved by time-of-arrival (TOA) measurements between sensors and sources. Most existing approaches are centralized, and they require a fusion center to communicate with other nodes. In practice, WASN topologies are time-varying with nodes joining or leaving the network,...

ETA prediction for containerships at the Port of Rotterdam using Machine Learning Techniques

The hinterland transportation of incoming containers at container terminals is a complex problem, due to the various actors involved and their often conflicting interests. A promising solution towards the problem for hinterland network operators is that of synchromodality, a concept that refers to on-line network planning for hinterland...

Localization and Communication for UWB-based Wireless Sensor Networks

The great demand for location-aware wireless sensor networks (WSNs) motivates the research in this thesis. The unique characteristics of WSNs impose numerous challenges on localization and communication. In this thesis, we handle some key challenges and provide affordable solutions. Impulse radio ultra wideband (IR-UWB) is employed as the...