This study proposes methods that can be used to examine and interpret comments that users have made after watching videos on YouTube on a particular topic. YouTube tutorials are very popular among young people. They h...
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Distributed processing of measurement results poses a number of challenges. Among important requirements are security, performance, robustness and ability to withstand network failures, need for flexibility and elegan...
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ISBN:
(纸本)9781634391887
Distributed processing of measurement results poses a number of challenges. Among important requirements are security, performance, robustness and ability to withstand network failures, need for flexibility and elegance of a proposed solution. We propose a novel approach to distributed processing, which capitalises on locality of data access. We propose a distributed software architecture that leverages a flexible consistency checking engine and takes advantage of software agency features in order to meet the mentioned distributed processing requirements.
A qualitative dynamical model of a human thyroid is derived using known intrathyroidal processes and pathways. It includes iodide transports from plasma into the thyroid and from the cell to the colloid, thyroid-stimu...
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ISBN:
(纸本)0780390989
A qualitative dynamical model of a human thyroid is derived using known intrathyroidal processes and pathways. It includes iodide transports from plasma into the thyroid and from the cell to the colloid, thyroid-stimulating hormone signaling pathways, organification, endocytosis, proteolysis, and hormone synthesis. Using mainly Michaelis-Menton kinetics, a quantitative model is derived at nominal values of internal concentrations. Simulations at different conditions demonstrate the ability of this model to predict several types of known thyroid behavior such as the Wolff-Chaikoff effect.
This paper studies state estimation in the presence of parametric uncertainties, with flow estimation in Managed Pressure Drilling as a case study. Downhole measurements in most MPD systems have low frequency due to c...
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Previous research on fraud detection modeling is often based on a single algorithm, optimizing categories and clusters to find fraudulent patterns that they have provided unsupervised or supervised methods alone and w...
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作者：
Nengkun YuRunyao DuanMingsheng YingState Key Laboratory of Intelligent Technology and Systems
Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China and Center for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney New South Wales 2007 Australia
In this Rapid Communication, we consider the open problem of the minimum cost of two-qubit gates for simulating the Toffoli gate and show that five two-qubit gates are necessary. Before our work, it was known that fiv...
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In this Rapid Communication, we consider the open problem of the minimum cost of two-qubit gates for simulating the Toffoli gate and show that five two-qubit gates are necessary. Before our work, it was known that five two-qubit gates are sufficient to implement the Toffoli gate, and numerical evidence indicates that five two-qubit gates are also necessary. The idea introduced here can also be used to solve the problem of optimal simulation of Deutsch three-qubit gates.
In an era when healthcare was becoming increasingly crucial, many developing nations, including Yemen, struggled to provide basic medical services. Nearly half of Yemen's population lacked access to adequate healt...
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Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...
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Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, calibration, and modeling efforts to estimate turning movements. In this study, three models were proposed to estimate turning movements at signalized intersections using approach volumes. Two sets of data from the United States and Canada were obtained to develop and test the proposed models. Machine learning-based regression models, including random forest regressor (RFR) and multioutput regressor (MOR) in addition to an artificial neural network (ANN) model, were developed and trained to analyze the relationship between approach volumes and corresponding turning movements. Multiple evaluation measurements were utilized to compare the models. All models produced satisfactory results. The RFR regression model outperformed the MOR model. However, the ANN model had the best performance when compared to the other models. The proposed models provide traffic engineers and planners with reliable and fast methods to estimate turning movements.
作者：
Sazli, Murat H.Isik, CanAnkara University
Faculty of Engineering Electronics Engineering Department Tandogan 06100 Ankara Turkey Syracuse University
L.C. Smith College of Engineering and Computer Science Department of Electrical Engineering and Computer Science Syracuse NY 13244
In this paper, we show that the BCJR algorithm (or Bahl algorithm) can be implemented as a feedforward neural network structure based on a reformulation of the algorithm using matrix algebra. We verified through compu...
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In this paper, we consider the use of reinforcement learning for control of nonlinear dextereous robot. The control problem dictates that the le arning is performed on-line, based on a binary reinforcement signal from...
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