scholarly journals Critical parameters and measurement methods for post closure monitoring: A review of the state of the art and recommendations for further studies

10.2172/60674 ◽  
1987 ◽  
Author(s):  
H.F. Morrison ◽  
E.L. Majer ◽  
C.F. Tsang
Keyword(s):  
State Of The Art ◽  
Measurement Methods ◽  
The State ◽  
Critical Parameters

scholarly journals Highway Travel Time Prediction of Segments Based on ANPR Data considering Traffic Diversion

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Wenjun Du ◽  
Bo Sun ◽  
Jiating Kuai ◽  
Jiemin Xie ◽  
Jie Yu ◽  
...  
Keyword(s):  
Travel Time ◽  
Traffic Management ◽  
State Of The Art ◽  
The State ◽  
Attention Mechanism ◽  
Critical Parameters ◽  
Depth Information ◽  
Highway Traffic ◽  
Residual Network ◽  
Traffic Diversion

Travel time is one of the most critical parameters in proactive traffic management and the deployment of advanced traveler information systems. This paper proposes a hybrid model named LSTM-CNN for predicting the travel time of highways by integrating the long short-term memory (LSTM) and the convolutional neural networks (CNNs) with the attention mechanism and the residual network. The highway is divided into multiple segments by considering the traffic diversion and the relative location of automatic number plate recognition (ANPR). There are four steps in this hybrid approach. First, the average travel time of each segment in each interval is calculated from ANPR and fed into LSTM in the form of a multidimensional array. Second, the attention mechanism is adopted to combine the hidden layer of LSTM with dynamic temporal weights. Third, the residual network is introduced to increase the network depth and overcome the vanishing gradient problem, which consists of three pairs of one-dimensional convolutional layers (Conv1D) and batch normalization (BatchNorm) with the rectified linear unit (ReLU) as the activation function. Finally, a series of Conv1D layers is connected to extract features further and reduce dimensionality. The proposed LSTM-CNN approach is tested on the three-month ANPR data of a real-world 39.25 km highway with four pairs of ANPR detectors of the uplink and downlink, Zhejiang, China. The experimental results indicate that LSTM-CNN learns spatial, temporal, and depth information better than the state-of-the-art traffic forecasting models, so LSTM-CNN can predict more accurate travel time. Moreover, LSTM-CNN outperforms the state-of-the-art methods in nonrecurrent prediction, multistep-ahead prediction, and long-term prediction. LSTM-CNN is a promising model with scalability and portability for highway traffic prediction and can be further extended to improve the performance of the advanced traffic management system (ATMS) and advanced traffic information system (ATIS).

Steganalysis

2011 ◽  
pp. 245-265 ◽  
Author(s):  
Hafiz Malik ◽  
Rajarathnam Chandramouli ◽  
K. P. Subbalakshmi
Keyword(s):  
Detection Probability ◽  
State Of The Art ◽  
The State ◽  
Critical Parameters ◽  
Secret Key ◽  
Open Problems ◽  
Message Length

In this chapter we provide a detailed overview of the state of the art in steganalysis. Performance of some steganalysis techniques are compared based on critical parameters such as the hidden message detection probability, accuracy of the estimated hidden message length and secret key, and so forth. We also provide an overview of some shareware/freeware steganographic tools. Some open problems in steganalysis are described.

Conceptualization and Measurement of Individual Situation Awareness (SA) in Expert Populations across Operational Domains: a systematic review of the literature with a practical purpose on our minds

2018 ◽  
Vol 62 (1) ◽  
pp. 1093-1097 ◽  
Author(s):  
Luís Meireles ◽  
Luís Alves ◽  
José Cruz
Keyword(s):  
Systematic Review ◽  
Situation Awareness ◽  
Practical Purpose ◽  
State Of The Art ◽  
Human Perception ◽  
Measurement Methods ◽  
The State ◽  
Assessment Methods ◽  
Review Of The Literature ◽  
Inclusion Criteria

From the time when the first formal SA theories were introduced (Endsley 1995; Smith & Hancock, 1995), an underlying ontological debate concerning the nature of human perception and cognition became evident. Indeed, despite more than two decades have passed since their publication, SA epistemological status and methodology are still object of dispute. For that reason, and bearing in mind the ultimate practice-oriented goal of developing/adapting SA measurement methods for elite soccer, a systematic review of the literature was performed regarding the definition and the methods used for SA measurement in expert populations. Fifty-four studies (N=54) met the established inclusion criteria and revealed important differences concerning SA definition and assessment across different operational domains. The results are discussed regarding both the state of the art of SA literature and the adaption/development of SA assessment methods for elite soccer.

Practical Picture Processing

1974 ◽  
Vol 32 ◽  
pp. 338-339
Author(s):  
T. A. Welton
Keyword(s):  
Radiation Damage ◽  
Coherence Length ◽  
Spatial Information ◽  
State Of The Art ◽  
Coherent Radiation ◽  
The State ◽  
Energy Spread ◽  
Electron Micrograph ◽  
Picture Processing ◽  
Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

Hypothesis-Evidence Coordination: The State of the Art

2003 ◽  
Vol 48 (6) ◽  
pp. 826-829 ◽  
Author(s):  
Eric Amsel
Keyword(s):  
State Of The Art ◽  
The State

The State of the Art

1968 ◽  
Vol 13 (9) ◽  
pp. 479-480
Author(s):  
LEWIS PETRINOVICH
Keyword(s):  
State Of The Art ◽  
The State

Needs Assessment: The State of the Art

1984 ◽  
Vol 29 (5) ◽  
pp. 426-428
Author(s):  
Anthony R. D'Augelli
Keyword(s):  
Needs Assessment ◽  
State Of The Art ◽  
The State

Biofeedback: The State of the Art

1991 ◽  
Vol 36 (2) ◽  
pp. 140-140
Author(s):  
John A. Corson
Keyword(s):  
State Of The Art ◽  
The State
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