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检索条件"任意字段=19th International Conference on Logic Programming"

共 2634 条记录，以下是2621-2630 订阅

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Digital-Twin Enabled Construction System For Supply Chain Risk Management

Digital-Twin Enabled Construction System For Supply Chain Ri...

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IEEE international conference on Automation Science and Engineering (CASE)

作者： Wennan Zhang Chenglin Yu Jijie Xiao Dennis Cheung Ho Kin Ray Y Zhong Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong Hong Kong Mattex Asia Development Limited Hong Kong China

ISBN: (数字)9798350320695

ISBN: (纸本)9798350320701

the supply chain in the construction industry faces numerous risks during the holistic construction process due to complex materials management and intricate relationships among stakeholders. Risk management is essential for stakeholders to effectively operate supply chains and avoid unpunctual deliveries. this paper presents a supply chain risk management strategy that uses a digital-twin enabled construction system with Kanban. With the advent of Industry 4.0, technologies such as the Internet of things (IoT), big data, and artificial intelligence have emerged in supply chain management. these technologies are applied in Digital twin to precisely connect the physical and virtual worlds and achieve deep synchronization. It monitors the supply chain networks and ensures the visibility of risks. Kanban is a lean approach that intuitively displays the operational parameters and decision-making support. the warning mechanism on Kanban utilizes Gaussian Mixture Model (GMM) with probabilistic density fitting (PDF) of historical data to predict delays. the results show that the possibility of false positives is less than 15% before five days of arrival. As the forecast days get shorter, the accuracy rate will increase. the reflection of the Digital twin enabled construction system contributes to the research and practical supply chain risk management.

关键词： Supply chain management Supply chains Fitting Decision making Probabilistic logic Digital twins Delays

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Investigation of Processes of Heating a Non-Ferromagnetic Rod under the Action of an Unsteady Electromagnetic Field

Investigation of Processes of Heating a Non-Ferromagnetic Ro...

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international conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Roman Musii Khrystyna Drohomyretska Halyna Bilushchak Nataliia Melnyk Ihor Demkiv Andrii Kunynets Department of Mathematics Lviv Polytechnic National University Lviv Ukraine Department of Computational Mathematics and Programming Lviv Polytechnic National University Lviv Ukraine Department of Software Lviv Polytechnic National University Lviv Ukraine

ISBN: (数字)9798350378627

ISBN: (纸本)9798350378634

A physical and mathematical model is formulated for determining the axial component of the magnetic field intensity vector and specific Joule heat density in a non-ferromagnetic conductive rod under the conditions of its induction heating through an unsteady electromagnetic field. the initial relations for the initial-boundary value problem of electrodynamics were written for the considered rod. We chose the axial component of the magnetic field intensity vector as a determining function. To obtain the solution, the cubic approximation along the radial coordinate of distribution of the determining function along the radius of the rod was used. In consequence of this, the original initial-boundary value problem is reduced to Cauchy problem in time for the integral characteristics of the determining function in the radial variable. Applying the integral Laplace transform, the expression for the integral characteristics and the axial component of the magnetic field intensity vector is written down. Expressions of Joule heat and the determining function in the considered rod under the action of an unsteady electromagnetic field were obtained. A numerical analysis of change in time and distribution along radius of the rod of the axial component of the magnetic field intensity vector and Joule heat was performed depending on frequency of the carrier electromagnetic oscillations and duration of the unstable electromagnetic field.

关键词： Electromagnetic heating Time-frequency analysis Numerical analysis Vectors Mathematical models Magnetic fields Electromagnetic fields

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the Carabela Project and Manuscript Collection: Large-Scale Probabilistic Indexing and Content-based Classification

The Carabela Project and Manuscript Collection: Large-Scale ...

引用

international Workshop on Frontiers in Handwriting Recognition

作者： E. Vidal Verónica Romero A. H. Toselli J.A. Sánchez V. Bosch L. Quirós José Miguel Benedí Jose Ramón Prieto Moisés Pastor F. Casacuberta C. Alonso C. García L. Márquez C. Orcero PRHLT Research Center UPV Valencia Spain CAS IAPH Cádiz Spain

ISBN: (数字)9781728199665

ISBN: (纸本)9781728199672

the main aim of the Carabela project was to develop and apply techniques that allow textual searching on massive Spanish collections of 15th-19th century manuscripts. the project focused on a relatively small subset of 125 000 images of collections of interest to underwater archaeology. For this type of manuscripts, state-of-the-art automatic transcription techniques, generally fail to achieve usable transcription accuracy. therefore, rather than insisting in actual transcription, methodologies for probabilistic indexing of handwritten text images have been adopted. this has allowed us to effectively cope with the intrinsically high degree of uncertainty of the text contained in most historical manuscripts, leading to highly effective systems for textual search and retrieval. Carabela has gone one step further by developing new techniques to classify probabilistically indexed, but otherwise untranscribed, text images according to their textual content. these techniques have been successfully used to automatically classify Carabela bundels (each containing hundreds or thousands of pages) according to their “level of risk” of public exposure, in order to control their access and avoid as much as possible the plundering of Spanish underwater heritage.

关键词： Probabilistic logic Optical imaging Indexing Computational modeling Adaptive optics Training Optical network units

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Fuzzy logic Based Speed Control of an Induction Motor with Considering Core Loss, Stray Load Loss, and Variations of Motor Parameters

Fuzzy Logic Based Speed Control of an Induction Motor with C...

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international conference on Electrical Machines and Systems

作者： Effat Jahan Md. Rifat Hazari Mohammad Abdul Mannan Junji Tamura Department of Electrical and Electronic Engineering Kitami Institute of Technology (KIT) Japan Department of Electrical and Electronic Engineering American International University-Bangladesh (AIUB) Bangladesh

ISBN: (纸本)9781467388634

Most of the controllers of Induction Motors (IM) for industrial applications have been designed based on PI controller without consideration of core loss (CL) and stray load loss (SLL). In order to obtain precise performances of torque as well as rotor speed and flux, the mentioned losses should be considered. the overshoot problems are the common phenomena occurred in conventional PI based controller. Also the performance is degraded under the variations of motor parameters such as rotor resistance, moment of inertia, etc. To overcome the above mentioned drawbacks of PI based speed controller, in this paper a fuzzy logic based speed controller is proposed. Fuzzy logic Controller (FLC) is a perfect choice for smooth operation of IM during transient condition and during the variations of motor parameters. the effectiveness of the proposed control scheme is verified by simulation analysis using MATLAB/SIMULINK. the simulation analysis shows the proposed FLC performs well and gives satisfactory results under the variations of rotor speed, load torque, rotor resistance, and moment of inertia compared to conventional PI based speed control strategy.

关键词： vector control core loss stray load loss fuzzy logic

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An Efficient Skip Link-based Traffic Prediction Algorithm with Multi-Scale Feature Extraction

An Efficient Skip Link-based Traffic Prediction Algorithm wi...

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international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Chaoqun Liu Xuanpeng Li Guangyu Li Chen Gong PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security Nanjing University of Science and Technology Southeast University Nanjing China

ISBN: (数字)9798350358261

ISBN: (纸本)9798350358278

Traffic prediction is an important component in the development of Intelligent Transportation Systems (ITS). To improve the accuracy of traffic prediction, many existing studies focus on combining recurrent neural networks and graph neural networks and achieve certain effects, but these works still suffer from some limitations on realizing rigorous long-term traffic foreseeing in highly dynamic spatio-temporal environments. To address this issue, we propose an efficient skip link-based traffic prediction algorithm with multiscale feature extraction (SKMSGCN). Specifically, we firstly design an available Spatio-temporal Traffic Feature Extraction module (STFE) based on the established information fusion scheme, to sufficiently obtain long-term traffic feature correlations. In addition, by means of memory networks, we propose a Critical traffic Feature Classification module (CFC), to obtain notable features from traffic sensor nodes with different attributions and further increase traffic prediction accuracy. Moreover, in order to efficiently process the input data of enhanced traffic features from CFC module and achieve the precise traffic foreseeing, we construct a long-term traffic prediction module based on graph convolutional networks and gate recurrent units. the extensive experimental results on two typical benchmark datasets firmly demonstrate the effectiveness of the proposed SKMSGCN in quantitative aspects.

关键词： Accuracy Recurrent neural networks Time series analysis Predictive models logic gates Prediction algorithms Feature extraction

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ACORN: Adaptive Compression-Reconstruction for Video Services in 5G-U Industrial IoT

ACORN: Adaptive Compression-Reconstruction for Video Service...

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international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Jiale Lei Peihao Yang Linghe Kong Yehan Ma Xingjian Lu Deyu Lin Guihai Chen E Zhao Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Yunnan Dali Research Institute of Shanghai Jiao Tong University Dali China College of Computer Science and Technology East China Normal University Shanghai China Aerospace Technology Holding Group Co. Ltd China

ISBN: (数字)9798350358261

ISBN: (纸本)9798350358278

IoT devices are enabled to capture and upload videos with increasing bitrates. Massive IIoT is eager for effective video processing techniques to satisfy the requirements of real-time video services. With the emergence of 5G-unlicensed (5G-U), ultra-low latency video applications become possible. However, existing encoding standards for video services in Web 2.0, such as H.265, are not naturally designed for IIoT video streaming, leading to bandwidth pressure where 5G-U coexists with various other wireless signals. To tackle this problem and to support low-latency video utilization by IIoT video sources, we propose an Adaptive Compression-Reconstruction framework named ACORN, which is based on compressed sensing and recent advances in deep learning. At end nodes, we compress multiple sequential video frames into a single frame to reduce video volume. We design a QoE-aware parameter selection mechanism to deal with volatile network environments during compression. With learnable gated convolution layers and channel-wise soft-thresholding operators, ACORN also builds a real-time reconstruction module. Experimental results reveal that video analytics can be conducted on compressed frames. the reconstruction algorithm in ACORN is with $1-4 \mathrm{~dB}$ improvements. Moreover, both the encoding time cost and the encoded video volume are reduced by more than $4 \times$ under the ACORN framework.

关键词： Visual analytics logic gates Streaming media Real-time systems Encoding Servers Image reconstruction

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Enhancing ontology-based home Care Services platform using Bayesian networks

Enhancing ontology-based home Care Services platform using B...

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international conference on Machine Learning and Applications (ICMLA)

作者： Abdelweheb Gueddes Mohamed Ali Mahjoub ISITCom LATIS Laboratory of Advanced Technology and Intelligent Systems Sousse University Sousse Tunisia LATIS Laboratory of Advanced Technology and Intelligent Systems Sousse University National School of Engineers of Sousse Sousse Tunisia

ISBN: (数字)9781728184708

ISBN: (纸本)9781728184715

During the first generation of home intervention and support, complaints were usually triggered by telephone call. In most situations needs where described orally; there were no sufficient information neither on the patient's condition nor on his medical history. thanks to the advance of technology, especially systems based on data mining, artificial intelligence time is saved, and immediate service is offered. Although home intervention and care have been the subject of numerous studies, the resolution of the overall decision-making problem is not sufficiently developed. Due to the lack of information such as the state of health of a patient, the set of parameters characterizing the daily life habits of the person analyzed in parallel with the evolution of physiological and environmental parameters. In addition to that, it is necessary to take into consideration the Medical Core, his location, his profile not only his professional status, but also his capacities and skills, which are not explicitly described in his curriculum. Different studies and systems exist in literature. Each them takes into account only part of the parameters. Indeed, these studies face either the monitoring of daily activities, the monitoring of physiological data or other environmental part. Either they take into account the specific features of the medical core profile. Either these systems use probabilistic data mining, which involves many interactions with experts to interpret the data, or an expert system based on the rules of inference defined by medical experts. In addition, most do not use controlled vocabulary, which provides semantics to the system. this complicates information sharing and collaborative work. We proposed in a previous work an ontology-based solution [3], the goal is to help the collaborator to make a decision and to draw new information. as the complexity of the data increases, so does the need to deal with uncertainty. Several approaches to the representation and

关键词： Uncertainty Semantics OWL Ontologies Probabilistic logic Data mining Monitoring

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A Study on Controlled Node Sized Network Clustering for Unweighted Network Data

A Study on Controlled Node Sized Network Clustering for Unwe...

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international Symposium on Advanced Intelligent Systems

作者： Shusuke Nakano Yukihiro Hamasuna Yasunori Endo Graduate School of Sci. and Eng. Kindai University 3-4-1 Kowakae Higashiosaka Osaka Japan School of Sci. and Eng. Kindai University 3-4-1 Kowakae Higashiosaka Osaka Japan Faculty of Eng. Info. and Sys. University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki Japan

ISBN: (纸本)9781538626344;9781538626337

the Louvain method is one of the typical network clusterings. It is well-known that the Louvain method obtains better cluster partition in a short time. However, there are several network data which are not obtained better cluster partition by the Louvain method. One of the reasons for the above is that the Louvain method focuses on an only edge connection. We proposed the method which focuses on node size. the proposed method optimizes the objective function of k-medoids by solving the linear programming problem under the constraints on node size. We verified the usefulness of the proposed method in the viewpoint of calculation time and accuracy with an artificial and benchmark unweighted network datasets. the numerical examples show that the proposed method is faster and obtains better cluster partition than the Louvain method. the Euclidean distance in adjacency matrix does not obtain better cluster partition for the datasets, which consist of terminal nodes or high degree nodes.

关键词： Network clustering Linear programming problem Modularity K-medoids Controlled size

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Implementation of Robot Journalism by programming Custombot using Tokenization and Custom Tagging

Implementation of Robot Journalism by Programming Custombot ...

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international conference on Advanced Communication Technology

作者： Naeun Lee Kirak Kim Taeseon Yoon Hankuk Academy of Foreign Studies

ISBN: (纸本)9781509048922

the paper introduces a prototype of an algorithm that creates personalized news articles about IT and technology based on each personal preference for a specific theme, criteria, or element. When provided a specific personal preference, the algorithm Custombot analyses the data, derives the most appropriate topic that contains the most elements preferred by a person, and eventually produces a one and only news article on that topic. While processing and analysing data by inductive reasoning, Custombot considers the concepts of news angle and filter bubble. Text segmentation (tokenization) and custom tagging are two of the tasks that are used for the construction of this system, allowing to make custom tags and insert matching information in appropriate places. Its result of customized news article can serve as a new service provided by news organizations to satisfy each consumer's needs, and can also be a stepping stone in expanding the role or increasing the importance of robot journalism in a broad field of journalism.

关键词： Custom Tagging Filter Bubble News Angle Personalized News Robot Journalism Tokenization

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Server for SQLite Database: Multithreaded HTTP Server with Synchronized Database Access and JSON Data-Interchange

Server for SQLite Database: Multithreaded HTTP Server with S...

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international conference on Advanced Communication Technology

作者： Noprianto Benfano Soewito Sani Muhamad Isa Karto Iskandar Ford Lumban Gaol Raymond Kosala Doctor of Computer Science Bina Nusantara University Master in Computer Science Bina Nusantara University School of Computer Science Bina Nusantara University

ISBN: (纸本)9781509048922

SQLite database engine is small, fast, reliable, and does not need a server to work. And, if needed, multiple applications may work with same SQLite database, optionally, using filesystem sharing services. However, file sharing option is not always available and reliable in certain conditions. In this paper, we propose a server for SQLite database. this server will be using HTTP as communication protocol. To enable multiuser application, this server will be multithreaded. However, access to the database file will be synchronized to help prevent database corruption. And, as data-interchange format, JSON will be used. We also run several tests to make sure that proposed server is usable. Test results show that the database file is not corrupted, while still maintain acceptable performance.

关键词： Embedded database Database server HTTP server Concurrent programming Multithreaded application

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