Canonical Correlation analysis (CCA) is currently very popular in the field of data-driven fault detection. The CCA method usually assumes that the data obeys a Gaussian distribution, but the sample data collected in ...
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ISBN:
(数字)9798350361674
ISBN:
(纸本)9798350361681
Canonical Correlation analysis (CCA) is currently very popular in the field of data-driven fault detection. The CCA method usually assumes that the data obeys a Gaussian distribution, but the sample data collected in the actual complex industrial production process often has non-Gaussian characteristics, and the CCA method is not very suitable for modeling this kind of data. In order to extend the applicability of the CCA method from Gaussian data space to non-Gaussian data space, this paper proposes an information entropy-based quality-related process fault detection method (ECCA) based on CCA. First, the ECCA approach takes as its objective function to maximize the mutual information of typical pairs of variables in the space of process and quality variables. The objective function is also optimized using Particle Swarm Optimization (PSO) algorithm to solve for the optimal pairs of typical variables; Second, when considering the extraction of the next pair of independent typical variable pairs, the extraction of independent typical variable pairs can be achieved by resorting to the framework of the Partial Least Squares (PLS) algorithm in combination with the minimization of the information entropy of the residuals in the space of the process and quality variables; Third, a truncation criterion for the number of typical variables is identified; Fourth, T
2
and Te
2
statistics are constructed to monitor the system; Finally, the ECCA method is applied to synthetic data and TE processdata for comparison with the traditional CCA method. Experimental validation shows that the ECCA method has better monitoring performance than the traditional CCA method in monitoring quality-related process faults.
The proceedings contain 160 papers. The special focus in this conference is on Advanced Information Networking and Applications. The topics include: D-insta: A Decentralized Image Sharing Platform;simulation modeling ...
ISBN:
(纸本)9783031284502
The proceedings contain 160 papers. The special focus in this conference is on Advanced Information Networking and Applications. The topics include: D-insta: A Decentralized Image Sharing Platform;simulation modeling of Human Aortic Valve Blood Flow;ramification of Sentiments on Robot-Based Smart Agriculture: An analysis Using Real-Time Tweets;the Digital Humanities Trend in Chinese Film History: A Case Study of Filmmaker Lvban;A Tool for Creation of Virtual Exhibits Presented as IIIF Collections by Intelligent Agents;recommender Systems in the Museum Sector: An Overview;Towards the Enrichment of IIIF Framework with Semantically Annotated and Geo-Located images;Comparison of ML Solutions for HRIR Individualization Design in Binaural Audio;Performance analysis of a BESU Permissioned Blockchain;AI-Powered Drone to Address Smart City Security Issues;range Proofs with Constant Size and Trustless Setup;sensorless Predictive Maintenance: An Example on a ‘Not 4.0’ Coffee Machine Production process;An Integrated System for Vibration Suppression Using Fuzzy control and 2D-LiDAR;attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review;an Overview and Current Status of Blockchains Performance;AgriBIoT: A Blockchain-Based IoT Architecture for Crop Insurance;distribution of the Training data Over the Shortest Path Between the Servers;a Decentralized Architecture for Electric Vehicle Charging Platform;services and Operations of Electric Vehicle System by Virtual Power Plant in Rural Area;a Triangulation Based Water Level Measuring System for a Water Reservoir Tank;A System Architecture for Heterogeneous Time- Sensitive Networking Based on SDN;a Parking System Based on Priority Scheme;DTAG: A Dynamic Threshold-Based Anti-packet Generation Method for Vehicular DTN;prediction in Smart Environments and Administration: Systematic Literature Review;Optimal and Suboptimal Routing Protocols for WSN;CL-DECCM-SA: A Cluster-based Delauna
Cost estimation is the first step of software development that calculate costs and resources required. The budgeting process involves project analysis and factors such as absence of price calculations used as a basic ...
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Global public emergencies represented by COVID-19 have posed new requirements and challenges to the current governance systems and capacities of governments. Mining decision-level intelligence from massive, multi-sour...
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The proceedings contain 160 papers. The special focus in this conference is on Advanced Information Networking and Applications. The topics include: D-insta: A Decentralized Image Sharing Platform;simulation modeling ...
ISBN:
(纸本)9783031290558
The proceedings contain 160 papers. The special focus in this conference is on Advanced Information Networking and Applications. The topics include: D-insta: A Decentralized Image Sharing Platform;simulation modeling of Human Aortic Valve Blood Flow;ramification of Sentiments on Robot-Based Smart Agriculture: An analysis Using Real-Time Tweets;the Digital Humanities Trend in Chinese Film History: A Case Study of Filmmaker Lvban;A Tool for Creation of Virtual Exhibits Presented as IIIF Collections by Intelligent Agents;recommender Systems in the Museum Sector: An Overview;Towards the Enrichment of IIIF Framework with Semantically Annotated and Geo-Located images;Comparison of ML Solutions for HRIR Individualization Design in Binaural Audio;Performance analysis of a BESU Permissioned Blockchain;AI-Powered Drone to Address Smart City Security Issues;range Proofs with Constant Size and Trustless Setup;sensorless Predictive Maintenance: An Example on a ‘Not 4.0’ Coffee Machine Production process;An Integrated System for Vibration Suppression Using Fuzzy control and 2D-LiDAR;attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review;an Overview and Current Status of Blockchains Performance;AgriBIoT: A Blockchain-Based IoT Architecture for Crop Insurance;distribution of the Training data Over the Shortest Path Between the Servers;a Decentralized Architecture for Electric Vehicle Charging Platform;services and Operations of Electric Vehicle System by Virtual Power Plant in Rural Area;a Triangulation Based Water Level Measuring System for a Water Reservoir Tank;A System Architecture for Heterogeneous Time- Sensitive Networking Based on SDN;a Parking System Based on Priority Scheme;DTAG: A Dynamic Threshold-Based Anti-packet Generation Method for Vehicular DTN;prediction in Smart Environments and Administration: Systematic Literature Review;Optimal and Suboptimal Routing Protocols for WSN;CL-DECCM-SA: A Cluster-based Delauna
The proceedings contain 160 papers. The special focus in this conference is on Advanced Information Networking and Applications. The topics include: D-insta: A Decentralized Image Sharing Platform;simulation modeling ...
ISBN:
(纸本)9783031286933
The proceedings contain 160 papers. The special focus in this conference is on Advanced Information Networking and Applications. The topics include: D-insta: A Decentralized Image Sharing Platform;simulation modeling of Human Aortic Valve Blood Flow;ramification of Sentiments on Robot-Based Smart Agriculture: An analysis Using Real-Time Tweets;the Digital Humanities Trend in Chinese Film History: A Case Study of Filmmaker Lvban;A Tool for Creation of Virtual Exhibits Presented as IIIF Collections by Intelligent Agents;recommender Systems in the Museum Sector: An Overview;Towards the Enrichment of IIIF Framework with Semantically Annotated and Geo-Located images;Comparison of ML Solutions for HRIR Individualization Design in Binaural Audio;Performance analysis of a BESU Permissioned Blockchain;AI-Powered Drone to Address Smart City Security Issues;range Proofs with Constant Size and Trustless Setup;sensorless Predictive Maintenance: An Example on a ‘Not 4.0’ Coffee Machine Production process;An Integrated System for Vibration Suppression Using Fuzzy control and 2D-LiDAR;attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review;an Overview and Current Status of Blockchains Performance;AgriBIoT: A Blockchain-Based IoT Architecture for Crop Insurance;distribution of the Training data Over the Shortest Path Between the Servers;a Decentralized Architecture for Electric Vehicle Charging Platform;services and Operations of Electric Vehicle System by Virtual Power Plant in Rural Area;a Triangulation Based Water Level Measuring System for a Water Reservoir Tank;A System Architecture for Heterogeneous Time- Sensitive Networking Based on SDN;a Parking System Based on Priority Scheme;DTAG: A Dynamic Threshold-Based Anti-packet Generation Method for Vehicular DTN;prediction in Smart Environments and Administration: Systematic Literature Review;Optimal and Suboptimal Routing Protocols for WSN;CL-DECCM-SA: A Cluster-based Delauna
The proceedings contain 17 papers. The topics discussed include: complex-event mining over centralized and distributed data streams;explainable process prescriptive analytics;improving accuracy and explainability in e...
ISBN:
(纸本)9798350397147
The proceedings contain 17 papers. The topics discussed include: complex-event mining over centralized and distributed data streams;explainable process prescriptive analytics;improving accuracy and explainability in event-case correlation via rule mining;mining statistical relations for better decision making in healthcare processes;towards next-location prediction for process executions;encoding high-level control-flow construct information for process outcome prediction;assessing the robustness in predictive process monitoring through adversarial attacks;modeling extraneous activity delays in business process simulation;and stochastic process model-log quality dimensions: an experimental study.
This paper aims to analyze longitudinal data, serial data related to different time points, in knowledge graphs. Knowledge graphs play a central role for linking different data. While multiple layers for data from dif...
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ISBN:
(数字)9788396242396
ISBN:
(纸本)9788396242396
This paper aims to analyze longitudinal data, serial data related to different time points, in knowledge graphs. Knowledge graphs play a central role for linking different data. While multiple layers for data from different sources are considered, there is only very limited research on longitudinal data in knowledge graphs. However, knowledge graphs are widely used in big data integration, especially for connecting data from different domains. Few studies have investigated the questions how multiple layers and time points within graphs impact methods and algorithms developed for single-purpose networks. This manuscript investigates the impact of a modeling of longitudinal data in multiple layers on retrieval algorithms. In particular, (a) we propose a first draft of a generic model for longitudinal data in multi-layer knowledge graphs, (b) we develop an experimental environment to evaluate a generic retrieval algorithm on random graphs inspired by computational social sciences. We present a knowledge graph generated on German job advertisements comprising data from different sources, both structured and unstructured, on data between 2011 and 2021. The data is linked using text mining and natural language processing methods. We further (c) present two different shrinking techniques for structured and unstructured layers in knowledge based on graph structures like triangles and pseudo-triangles. The presented approach (d) shows that on the one hand, the initial research questions, on the other hand the graph structures and topology have a great impact on the structures and efficiency for additional data stored. Although the experimental analysis of random graphs allows us to make some basic observations we will (e) make suggestions for additional research on particular graph structures that have a great impact on the analysis of knowledge graph structures.
In consideration of the poor locomotion ability of most traditional tensegrity robot, a novel tensegrity hopping robot powered by push-pull electromagnets was proposed with better locomotivity. It is able to conduct s...
Bend propagation in an octopus arm refers to a stereotypical maneuver whereby an octopus pushes a bend (localized region of large curvature) from the base to the tip of the arm. Bend propagation arises from the comple...
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ISBN:
(数字)9781665451963
ISBN:
(纸本)9781665451963
Bend propagation in an octopus arm refers to a stereotypical maneuver whereby an octopus pushes a bend (localized region of large curvature) from the base to the tip of the arm. Bend propagation arises from the complex interplay between mechanics of the flexible arm, forces generated by internal muscles, and environmental effects (buoyancy and drag) from the surrounding fluid. In part due to this complexity, much of prior modeling and analysis work has relied on the use of high dimensional computational models. The contribution of this paper is to present a control-oriented reduced order model based upon a novel parametrization of the curvature of the octopus arm. The parametrization is motivated by the experimental results. The reduced order model is related to and derived from a computational model which is also presented. The results from the two sets of models are compared using numerical simulations which is shown to lead to useful qualitative insights into bend propagation. A comparison between the reduced order model and experimental data is also reported.
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