2015 International Conference on Electrical and Information Technologies (ICEIT) 2015
DOI: 10.1109/eitech.2015.7162953
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A wireless sensor network monitoring system for highway bridges

Abstract: As wireless smart sensor networks and geographical information systems (GIS) are evolving nowadays, applications of remote monitoring in wide spread geographical areas are becoming cost-effective and possible. An example of such applications is the structural health status monitoring of highway bridges that connect roads in both rural and urban areas. Many of these bridges are subject to deterioration due to external and internal factors. Online, real-time structural health monitoring is a resourceful complime… Show more

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Cited by 27 publications
(10 citation statements)
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“…This universe of discourse U and an interval of U is represented by mS. According to [34], mS(e) is a membership function that that is based on a set of ordered pairs of elements e and probability of e that belongs to S. The proposed Smart irrigation system takes five inputs: temperature, time, humidity, light, and moisture denoted by a fuzzy subset of S i.e., A, B, C, D, and E, respectively. Here, temperature is denoted by a variable A, humidity is donated by a variable B, light is denoted by a variable C and moisture is denoted by a variable D. For these five variables, mA(x), mB(x), mC(x), mD(x) denote degree of membership of x in A, B, C, and D variables, respectively.…”
Section: Fuzzy Logic Based Smart Irrigation Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…This universe of discourse U and an interval of U is represented by mS. According to [34], mS(e) is a membership function that that is based on a set of ordered pairs of elements e and probability of e that belongs to S. The proposed Smart irrigation system takes five inputs: temperature, time, humidity, light, and moisture denoted by a fuzzy subset of S i.e., A, B, C, D, and E, respectively. Here, temperature is denoted by a variable A, humidity is donated by a variable B, light is denoted by a variable C and moisture is denoted by a variable D. For these five variables, mA(x), mB(x), mC(x), mD(x) denote degree of membership of x in A, B, C, and D variables, respectively.…”
Section: Fuzzy Logic Based Smart Irrigation Systemmentioning
confidence: 99%
“…Abovementioned Equations (2) and (3) help in computing the strength of a decision rule. Conventionally, value of a linguistic variable is described as a fuzzy set [34]. in the defined universe of discourse of a fuzzy logic system, each input value is mapped to a membership value in the range of 0 and 1 by a typical membership function [35].…”
Section: Fuzzy Logic Based Smart Irrigation Systemmentioning
confidence: 99%
“…Genetic algorithms are a family of computational models inspired by natural evolution [17][18][19][20]. In a genetic algorithm, a population of candidate solutions to a problem is evolved toward better solutions.…”
Section: Genetic Algorithmsmentioning
confidence: 99%
“…Using the time series data, anomaly detection through classification, clustering, association analysis, trend analysis and outlier analysis among others are possible [13]. Trend analysis of time-series data identifies significant increase or decrease in the magnitude of a variable and has been used in fields including energy [14], power [15], social media [16] and weather [17][18] [19] using methods such as regression models, pattern mining, self-organizing map, fuzzy logic [20], graph-based methods [21], network anomaly detection [22] and others [23], Euclidean distance, knearest neighbors (KNNs), recurrences (REC) and support vector data description among others [24]. The data trends also provide insights into future performance of the monitored devices.…”
Section: Introductionmentioning
confidence: 99%