Real-Time Road Hazard Information System

Pena-Caballero, Carlos; Kim, Dongchul; González, Adolfo Hidalgo; Castellanos, Osvaldo; Cantu, Angel A.; Ho, Jungseok

doi:10.3390/infrastructures5090075

Cited by 18 publications

(4 citation statements)

References 40 publications

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“…However, such behavior was clearly visible for the composite in the Mix-L1 series (Table 11). This proves that the concrete in the Mix-L2 series was more brittle than both of the analyzed composites [66,67].…”

Section: L2mentioning

confidence: 53%

Effect of Coarse Aggregate Grading on Mechanical Parameters and Fracture Toughness of Limestone Concrete

Golewski

2023

Infrastructures

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This work presents a discussion of the basic properties of broken mineral limestone aggregates with the specification of the properties affecting the fracture toughness of concretes made with these aggregates. To determine the influence of the grain-size distribution of coarse aggregates for each concrete series, two types of aggregate grain were used, with maximum grain sizes of 8 mm (series of concrete L1) and 16 mm (series of concrete L2). Fracture-toughness tests were carried out using mode I fractures in accordance with the RILEM Draft recommendations, TC-89 FMT. During the experiments the critical stress-intensity factor (KIcS) and crack-tip-opening displacements (CTODc) were determined. The main mechanical parameters, i.e., the compressive strength (fcm) and splitting tensile strength (fctm), were also assessed. Based on the obtained results, it was found that the grain-size distribution of the limestone aggregate influenced the concrete’s mechanical and fracture-mechanics parameters. The obtained results showed that the series-L2 concrete had higher strength and fracture-mechanics parameters, i.e.,: fcm—45.06 MPa, fctm—3.03 MPa, KIcS—1.22 MN/m3/2, and CTODc —12.87 m10−6. However, the concrete with a maximum grain size of 8 mm (series of concrete L1) presented lower values for all the analyzed parameters, i.e.,: fcm—39.17 MPa, fctm—2.57 MPa, KIcS—0.99 MN/m3/2, and CTODc —10.02 m10−6. The main reason for the lower fracture toughness of the concretes with smaller grain sizes was the weakness of the ITZ in this composite compared to the ITZ in the concrete with a maximum grain size of 16 mm. The obtained test results can help designers, concrete producers, and contractors working with concrete structures to ensure the more conscious composition of concrete mixes with limestone aggregates, as well as to produce precise forecasts for the operational properties of concrete composites containing fillers obtained from carbonate rocks.

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Section: L2mentioning

confidence: 53%

Effect of Coarse Aggregate Grading on Mechanical Parameters and Fracture Toughness of Limestone Concrete

Golewski

2023

Infrastructures

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“…This network uses a region proposal network (RPN) to identify rectangular boundary boxes through shared convolution features and classify and locate multiple targets. Pena-Caballero et al [ 20 ] used the YOLO9000 network and semantic segmentation to classify and detect pixel-level objects. However, because of the use of image segmentation technology, it is easily affected by the noise produced by high-speed motion.…”

Section: Related Workmentioning

confidence: 99%

Improved YOLOv5 Network for Real-Time Object Detection in Vehicle-Mounted Camera Capture Scenarios

Ren

Zhang

2023

Sensors

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Object detection in the process of driving is a convenient and efficient task. However, due to the complex transformation of the road environment and vehicle speed, the scale of the target will not only change significantly but also be accompanied by the phenomenon of motion blur, which will have a significant impact on the detection accuracy. In practical application scenarios, it is difficult for traditional methods to simultaneously take into account the need for real-time detection and high accuracy. To address the above problems, this study proposes an improved network based on YOLOv5, taking traffic signs and road cracks as detection objects and conducting separate research. This paper proposes a GS-FPN structure to replace the original feature fusion structure for road cracks. This structure integrates the convolutional block attention model (CBAM) based on bidirectional feature pyramid networks (Bi-FPN) and introduces a new lightweight convolution module (GSConv) to reduce the information loss of the feature map, enhance the expressive ability of the network, and ultimately achieve improved recognition performance. For traffic signs, a four-scale feature detection structure is used to increase the detection scale of shallow layers and improve the recognition accuracy for small targets. In addition, this study has combined various data augmentation methods to improve the robustness of the network. Through experiments using 2164 road crack datasets and 8146 traffic sign datasets made by LabelImg, compared to the baseline model (YOLOv5s), the modified YOLOv5 network improves the mean average precision (mAP) result of the road crack dataset and small targets in the traffic sign dataset by 3% and 12.2%, respectively.

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“…This approach enables the portrayal of these dynamics and provides a compelling argument in support of the theoretical framework supporting this investigation. Pena-Caballero, Kim, Gonzalez, Castellanos, Cantu, and Ho [36] posit that the implementation of information infrastructures is a means for companies to enhance their competitiveness and progress their business strategies. Enterprises operating in fiercely competitive industries encounter external pressures, and the implementation of Intelligent Information Systems (IIs) can be regarded as a tactical remedy to these predicaments.…”

Section: Systems Featuresmentioning

confidence: 99%

The Development of a Design Theory for Web Based Information Systems

Emadi

2023

JRS

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There is a common assumption among individuals that the complexity involved in developing novel systems utilizing Web technologies implies that Information Systems (IS) that are Web-based must possess fundamental and significant distinctions from conventional IS. This study raises skepticism regarding the veracity of this claim. The literature pertaining to academic research, manuals, and sales material frequently espouses optimistic claims regarding the capabilities of e-commerce and e-business technologies and applications, often grounded in the assumption of novelty associated with the Internet. The objective of the research is to establish a systematic classification system for information systems theory based on its efficacy in addressing four fundamental objectives: analysis, explanation, prescription, and prediction. This study utilized both experimental and descriptive qualitative methodologies. Subsequent to the analysis phase in the system development cycle of information technology, the design phase ensues. The results indicate that the evolution of an information technology system can be delineated by its phases of requirement specification, design planning, and execution. The manifestation of this phenomenon is observed through the development of a strategic blueprint, the production of a visual representation or draft, or the organization of multiple components into a functional entirety. In conclusion, it is imperative for information systems to give priority to both the user and the integration of the system.

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Real-Time Road Hazard Information System

Cited by 18 publications

References 40 publications

Effect of Coarse Aggregate Grading on Mechanical Parameters and Fracture Toughness of Limestone Concrete

Effect of Coarse Aggregate Grading on Mechanical Parameters and Fracture Toughness of Limestone Concrete

Improved YOLOv5 Network for Real-Time Object Detection in Vehicle-Mounted Camera Capture Scenarios

The Development of a Design Theory for Web Based Information Systems

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