Line Process Research Articles

A Markov random field model for change points detection

Detecting Change Points (CPs) in data sequences is a challenging problem that arises in a variety of disciplines, including signal processing and time series analysis. While many methods exist for PieceWise Constant (PWC) signals, relatively fewer address PieceWise Linear (PWL) signals due to the challenge of preserving sharp transitions. This paper introduces a Markov Random Field (MRF) model for detecting changes in slope. The number of CPs and their locations are unknown. The proposed method incorporates PWL prior information using MRF framework with an additional boolean variable called Line Process (LP), describing the presence or absence of CPs. The solution is then estimated in the sense of maximum a posteriori. The LP allows us to define a non-convex non-smooth energy function that is algorithmically hard to minimize. To tackle the optimization challenge, we propose an extension of the combinatorial algorithm DPS, initially designed for CP detection in PWC signals. Also, we present a shared memory implementation to enhance computational efficiency. Numerical studies show that the proposed model produces competitive results compared to the state-of-the-art methods. We further evaluate the performance of our method on three real datasets, demonstrating superior and accurate estimates of the underlying trend compared to competing methods.

Five-Dimensional Modeling Technology for Intelligent Manufacturing Lines Oriented Towards Digital Twins

Intelligent manufacturing lines constitute a complex system characterized by the integration of multiple technologies, the intersection of various disciplines, multi-dimensional integration, and the interaction of numerous components. Currently, the internal environment of intelligent manufacturing workshops, processing technologies, and production processes all exhibit a high degree of complexity, and the diversity of underlying mechanical equipment is particularly notable. Compared to traditional manufacturing assembly lines, the process coupling between equipment in flow-type production lines is tighter and more significant. Therefore, this paper undertakes digital twin modeling of intelligent manufacturing lines from five aspects: geometry, motion, data, communication, and control. This approach aims to achieve precise and detailed mapping of the physical entity production line's processing operations.

A Research on Li Ning’s Brand Innovation Strategy from the Perspective of Enterprise Life Cycle

When an enterprise crosses a long-term development into mature stage, the organizational structure always tend to be rigid, the willingness to improve will decline, and other problems will also follow. How can we overcome the disease of large enterprises, and even avoid the crisis of decline? The answers given by researchers and managers are often related to organizational reform. Li Ning's development process may point out a new idea for the development of enterprises: brand innovation. Based on the theory of organizational life cycle, this paper will analyze the whole process of Li Ning's brand innovation to overcome the decline, in order to provide reference for other enterprises, especially those in the transitional stage.

Discontinuity preserving phase unwrapping algorithm for simulated InSAR based on MRF model using line process

Phase unwrapping (PU) is one of the important procedures in measuring digital elevation model (DEM) from interferometric synthetic aperture radar (InSAR) images. It is known that the existence of phase discontinuity poses challenges to the traditional PU algorithms. In this study, the authors propose a coupled Markov random fields (MRF) called line process (LP) for PU, abbreviated as the LP-MRF method. First, an 8-neighbourhood line process is used to detect discontinuous phase surfaces while regularising continuous phase surface. Then, a truncated quadratic is utilised in the LP model for optimisation convenience. Finally, the proposed method on four types of simulated experimental data is tested, which yields that the proposed method has better performance than some of the commonly used methods in handling sharp phase discontinuities while regularising continuous phase surfaces.

Piecewise smooth models for electromagnetic inverse problems

This paper presents a new method for constructing one-dimensional (1D) electrical conductivity models of the Earth from surface electromagnetic measurements. The construction of these models is a nonlinear inverse problem that can be approached by linearization techniques combined with iterative methods and Tikhonov's regularization. The standard application of these techniques usually leads to smooth models that represent a continuous variation of conductivity with depth. In this work, the authors describe how these methods can be modified to incorporate what is known in computer vision as the line process (LP) decoupling technique, which has the ability to include discontinuities in the models. This results in piecewise smooth models that are often more adequate for representing stratified media. They have implemented a relaxation technique to construct these types of models and present numerical experiments as well as an application to field data. These examples illustrate the performance of the combined LP and Tikhonov's regularization method.

Using Control Charts to Monitor the Performance of Large-Scale Systems

ABSTRACTThe initial goal of this project was to provide Alcan Rolled Products Company of Kingston, Ontario, with control charts to monitor its new Paint Line Three (PL3) aluminium coil coating facility. As the project progressed, however, it became apparent that the following factors made PL3 ill-suited to traditional statistical quality control methods: the inexact nature of the coil coating science, the level of process interdependence and complexity of the operation, and the economic and technical infeasibility of installing sophisticated measuring devices at all stages of the coating line.Consequently, an effort was made to model the entire system on a macroscopic, rather than a microscopic, level and to use the results of qualitative lab tests to make inferences about the paint line's process capability. To accomplish this, the length of scrap produced by every lot processed in a 1-year period was used to create a statistical model of the of the frequency and severity of the two most costly quality s...