To effectively deploy wireless sensor networks (WSNs) for monitoring and assessing the condition of tunnels, a Propagation Path Loss (PL) Model, which describes the power loss versus distance between the transmitter and the receiver for the tunnel environment is required. For most of the existing propagation measurements that have been conducted in tunnels, the antennas have been positioned alo...

In this paper, to model the path-loss characteristics in urban line-ofsight(LOS) propagation, we performed measurements in Goyang, Republic of Korea, at a frequency of 2.4GHz using the IEEE 802.15.4 standard. Although path-loss variance for any street existed, measurements yielded a typical pathloss of PL(dB) = L r    ) ( log 10 10  , where  is the path-loss coefficient, r is the street le...

Propagation modeling and simulation approaches for the use of High Frequency Surface Wave Radar (HFSWR) are discussed. HFSWR uses vertically polarized surface waves along multi-mixed paths in the lower HF band (3 MHz 15 MHz). Various numerical propagators are reviewed with an early analytical model. Split Step Fast Fourier Transformation, finitedifference, and finite-element solutions of the we...

Abstract Wireless connectivity has been realized for multiple environments and different frequency bands. However, little research exists about mmWave communication in industrial environments. This paper presents the 60 GHz double-directional radio channel a ship hull Line-of-Sight (LOS) non-Line-of-Sight (NLOS) conditions. We performed measurements using Terragraph sounder at locations fitted ...

To effectively deploy wireless sensor networks (WSNs) for monitoring and assessing the condition of tunnels, a Propagation Path Loss (PL) Model, which describes the power loss versus distance between the transmitter and the receiver in a specific environment, is required. For most of the existing propagation measurements conducted in tunnels, the antennas have been positioned along the central ...

We present an analytical technique that uses fault injection data for estimating the coverage of concurrent error detection mechanisms in microprocessors. A major problem in such estimations is that the coverage depends on the program executed by the microprocessor as well as the input sequence to the program. We propose a method that predicts the error coverage for a specified input sequence b...

A routing algorithm is proposed that analyzes network traffic conditions using time series prediction models and determines the best-effort routing path. To predict network traffic, time series models are developed under the stationary assumption, which is evaluated using the Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF). Traffic congestion is assumed when the pre...

This paper proposes a novel method for efficiently generating multiple diverse predictions for structured prediction problems. Existing methods like SDPPs or DivMBest work by making a series of predictions where each prediction is made after considering the predictions that came before it. Such approaches are inherently sequential and computationally expensive. In contrast, our method, Diverse ...

Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation measure that will be used at test time, and partial (weak) label information. When the additional information has structure that factorizes according to small subsets of variables (i.e., is low order, or decomposable),...

A mathematical model for the impulse response of a time-varying shallow water acoustic channel is proposed. The channel is modeled as a superposition of multiple propagation paths, whose lengths and relative delays are calculated from the channel geometry. Each path is characterized by a frequency-dependent path loss, and an additional random time-variation, expressed as a multiplicative distor...