In this paper we present a means of visually representing information associated with the state and functionality of the myocardium in the left ventricular chamber of the heart. Starting from segmentation contours whi...
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ISBN:
(纸本)9780889868243
In this paper we present a means of visually representing information associated with the state and functionality of the myocardium in the left ventricular chamber of the heart. Starting from segmentation contours which outline the endocardium and the epicardium for several slices and over several phases of motion and stress levels, we construct two surfaces which approximate the shape of the left ventricular wall. Several parameters, such as the thickness, thickening or motion speed of the wall are computed from the contours, and the resulting values are represented on the outer, epicardium surface using methods such as color encoding or so-called "stress bands". The distribution of colors on the outer surface is analogous to the distribution of parameter values along the left ventricular wall. A visual inspection of said colors, depending on the particularities of the analyzed data set, may render visible anomalies or dyssynchronies, or otherwise offer relevant indications on the behavior of the wall across multiple phases of the contraction-dilation cycle and for several levels of strain. The approaches described are meant to provide an alternative and intuitive visual aid in the diagnosis and treatment of cardiovascular diseases.
Enterprise control applications are becoming more and more complex, exploiting distributed object technology in multi-tier architectures. For educational purposes, the development of a manufacturing control laboratory...
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ISBN:
(纸本)1424400716
Enterprise control applications are becoming more and more complex, exploiting distributed object technology in multi-tier architectures. For educational purposes, the development of a manufacturing control laboratory that may emphasize the new control techniques and the overall integration of the system activities is a complex and challenging task. In the paper, an enterprise application solution that integrates the ERP concept in three-tier architecture with a Flexible Manufacturing System is presented. It contains modularized, distributed subsystems in configurable and maintainable software. Starting from the customer order, to planned order dispatch, the ERP main components and the information flow within the system is presented. The software architecture contains the ERP components that are implemented using Enterprise Java Beans, deployed in a J2EE application server. It enables transactions with the business environment, shop-floor system and the database. The application is conceptually designed and analyzed using a visual model developed in Unified Modeling Language.
The paper deals with a particular class of nonlinear control systems Essential PENDULAR control Systems (EPCS). PENDULAR (Pendulum Efficiency with Nonlinear Dynamics and Unconventional Law in Achievement of Robustness...
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ISBN:
(纸本)9780889868052
The paper deals with a particular class of nonlinear control systems Essential PENDULAR control Systems (EPCS). PENDULAR (Pendulum Efficiency with Nonlinear Dynamics and Unconventional Law in Achievement of Robustness) systems are Variable Structure Systems (VSS) with a simple structure. A short description of these systems, the study of stability and the essential PENDULAR system is presented in the paper. Certain illustrative examples are detailed. Simulation and experimental results show the efficiency of Essential PENDULAR systems.
The development area of web technologies has gained great popularity due to the power with which these new technologies can manage resources and due to developers or experts of various types who can build applications...
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Based on literature review and measurements performed on electric power stations which considered adjusted acoustic pressure level, generated during operation of high power transformer units with integrated on load ta...
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The subject area regards realization of scientific research works considering technical condition estimation of electric power transformer cores based on vibroacoustic measurements performed during their normal operat...
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Non-invasive estimation of chlorophyll content in plants plays an important role in precision agriculture. This task may be tackled using hyperspectral imaging that acquires numerous narrow bands of the electromagneti...
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The optimal stochastic approximation procedure (OSAP) is applied to the parameter identification problem of distributed parameter system (DPS) driven by random disturbances and observed through noisy measurements. Thi...
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The optimal stochastic approximation procedure (OSAP) is applied to the parameter identification problem of distributed parameter system (DPS) driven by random disturbances and observed through noisy measurements. This procedure is a stochastic approximation procedure (SAP) with an optimal gain sequence and an optimal transformation on the gradient of the objective function: these optimal values accelerate the convergence rate by minimizing the mean squared parameter estimation error, under the assumption that the density functions of the system and observation noises are known, or can be easily estimated. An example of parameter identification of a stochastic parabolic DPS is simulated on the digital computer. A comparison is made among the results of the optimal, the modified, the nominal first-order, and the nominal second-order SAP. It is shown that the OSAP gives higher accuracy and faster rate of convergence as compared to the nominal SAP
Data collected from the environment in computerengineering may include missing values due to various factors, such as lost readings from sensors caused by communication errors or power outages. Missing data can resul...
Data collected from the environment in computerengineering may include missing values due to various factors, such as lost readings from sensors caused by communication errors or power outages. Missing data can result in inaccurate analysis or even false alarms. It is therefore essential to identify missing values and correct them as accurately as possible to ensure the integrity of the analysis and the effectiveness of any decision-making based on the data. This paper presents a new approach, the Gap Imputing Algorithm (GMA), for imputing missing values in time series data. The Gap Imputing Algorithm (GMA) identifies sequences of missing values and determines the periodic time of the time series. Then, it searches for the most similar subsequence from historical data. Unlike previous work, GMA supports any type of time series and is resilient to consecutively missing values with different gaps distances. The experimental findings, which were based on both real-world and benchmark datasets, demonstrate that the GMA framework proposed in this study outperforms other methods in terms of accuracy. Specifically, our proposed method achieves an accuracy score that is 5 to 20% higher than that of other methods. Furthermore, the GMA framework is well suited to handling missing gaps with larger distances, and it produces more accurate imputations, particularly for datasets with strong periodic patterns.
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