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Electronic Government 1

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丛书名： Lecture Notes in computer science

1000年

作者： Ida Lindgren Csaba Csáki Evangelos Kalampokis Efthimios Tambouris Marijn Janssen Anneke Zuiderwijk Gabriela Viale Pereira Shefali Virkar

ISBN: (数字)9783031411380

ISBN: (纸本)9783031411373

This book constitutes the proceedings of the 22nd IFIP WG 8.5 International conference on Electronic Government, EGOV 2023, which took place in Budapest, Hungary, during September 5–7, *** 28 full papers included in this book were carefully reviewed and selected from a total of 106 submissions. They were organized in topical sections as follows: Digital government; artificial intelligence, algorithms, and automation; open government and open data; smart cities, regions, and societies; innovation and transformation in government.

关键词： computers and Society computer Systems Organization and Communication Networks Artificial Intelligence

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Robotics tips and tricks for inclusion and integration of students

Robotics tips and tricks for inclusion and integration of st...

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IEEE Global Engineering education conference (EDUCON) - Emerging Trends and Challenges of Engineering education

作者： Peixoto, Aruquia Castro, Manuel Blazquez, Manuel Martin, Sergio Sancristobal, Elio Carro, German Plaza, Pedro CEFET RJ Ctr Fed Educ Tecnol Celso Suckow da Fonseca Rio De Janeiro Brazil Spanish Univ Distance Educ UNED Elect & Comp Engn Dept Madrid Spain Plaza Robot Torrejon De Ardoz Spain

ISBN: (纸本)9781538629574

Robotics and computational thinking are valuable tools for developing science, technology, engineering and mathematics (STEM) pedagogy, and to promote inclusion and integration of students. We currently have a multitude of robotic education tools at our disposal. These tools arise with the aim of promoting innovation and student motivation during the learning process. Robots are becoming more and more common in our society today. Therefore, it is important to integrate robots into all levels of our everyday life. This work is focused on presenting Raspberry Pi as enhancer of educational robotics. The first step is presenting robotics as a tool for promoting the inclusion and integration of students. For this work a background and overview is also provided. The third part proposed different setups to prepare a Raspberry Pi for remote activities and robotics using Arduino as hardware interface. The last but not the least is an open discussion with the aim of exchanging impressions and getting feedback from the attendees.

关键词： education programming robotics STEM

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Real- Time Quality Monitoring and Prediction System for Logistics 4.0 of Mango Agroindustry 14

Real- Time Quality Monitoring and Prediction System for Logi...

引用

14th International conference on Advanced computer science and Information Systems, ICACSIS 2022

作者： Kailaku, Sari Intan Djatna, Taufik Hakim, Muslih Arfiana, Afifah Nur Arkeman, Yandra Purwanto, Y Aris Udin, Faqih IPB University Indonesian National Research and Innovation Agency Agroindustrial Engineering Study Program Bogor Indonesia IPB University Faculty of Agricultural Technology Agroindustrial Technology Department Bogor Indonesia Agroindustrial Engineering Study Program Graduate School IPB University Bogor Indonesia IPB University Faculty of Agricultural Technology Mechanical and Biosystem Engineering Department Bogor Indonesia

ISBN: (数字)9781665489362

ISBN: (纸本)9781665489362

The challenge of distributing climacteric fruit is quality assurance due to the long-distance and perishability nature of the fruit. While monitoring transportation conditions is common, little research has developed a prediction model of fruit quality affected by transportation conditions. The presented study designs a quality monitoring system for mango's long-distance supply chain by integrating the Internet of Things (IoT) and machine learning. The system modeling utilizes Business Process Model and Notation and a Use Case Diagram based on requirement analysis. The design of IoT architecture addresses the needs of the supply chain actors to monitor the transportation process and predict the final quality of mango upon arrival. Artificial Neural Network (ANN) predicts mango grade classification upon arrival. The dataset consists of initial (harvest) maturity level and transportation conditions as predictor variables and mango final grade as the target variable. The accuracy of the prediction model reaches more than 95%. The verification and validation of the system with traceability technique on the user's requirements confirm the fulfillment of each requirement's input, tasks, and output. This conceptual design presents IoT and machine learning as promising solutions to quality assurance problems in the global fresh produce supply chain. © 2022 IEEE.

关键词： Supply chains

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A method on Face Recognition of Contaminated Small Sample

A method on Face Recognition of Contaminated Small Sample

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2021 IEEE International conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Li, Jie Li, Zhuoyang Xu, Xiu Jing, Guoliang China University of Mining and Technology Engineering Research Center of Mine Digitalization of Ministry of Education School of Computer Science and Technology Xuzhou China Institute of Medical Photonics Beihang University Beijing Advanced Innovation Center for Biomedical Engineering Beijing China China University of Mining and Technology School of Computer Science and Technology Xuzhou China Shandong Polytechnic College Department of Aviation Jining China

ISBN: (纸本)9781665401265

In recent years, face recognition technology has been rapidly promoted and used because of its advantages of convenience, non-contact and good recognition performance, and achieved good results. But for the polluted situation, such as expression change, illumination influence, posture change, occlusion, etc., because the collected image lost the original intrinsic characteristics, seriously affect the effect of face recognition. In recent years, the SRC method and its variants have good robustness to shaded and contaminated samples. However, when certain training samples and test samples are contaminated, the performance will degrade. The method based on low rank matrix recovery (LRMR) can effectively deal with the simultaneous contamination of training samples and test samples. However, they either ignore relationships between similar samples or fail to learn a compact dictionary from contaminated training data. To solve these problems, a locally constrained low-rank representation and dictionary learning algorithm (LCLRRDL) is developed and applied to robust face recognition. In this paper, the theoretical and experimental research of locally constrained low-rank representation and dictionary learning algorithm (LCLRRDL) is carried out. A low-rank representation is introduced to deal with possible contamination of training and test data, and local constraints are introduced to identify the inherent manifold structure of training data. Under local constraints, similar samples often have similar representations, and the learned representations can be directly used for classification. At the same time, this method can learn a compact dictionary with better refactoring and recognition ability. The superiority of LCLRRDL algorithm is verified by comparing it with support vector machine (SVM) and Sparse representation (SRC) for contaminated small sample face recognition. By comparing the best recognition effect and classification time of the three algorithms, it is foun

关键词： Face recognition

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16th International conference on computer Analysis of Images and Patterns, CAIP 2015

16th International Conference on Computer Analysis of Images...

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16th International conference on computer Analysis of Images and Patterns, CAIP 2015

ISBN: (纸本)9783319231914

The proceedings contain 69 papers. The special focus in this conference is on computer Analysis of Images and Patterns. The topics include: On-the-fly handwriting recognition using a high-level representation;multiple-object detection and tracking with dynamic occlusion handling;robust pupil detection in real-world scenarios;balancing model robustness and complexity;review of methods to predict social image interestingness and memorability;predicting the number of DCT coefficients in the process of seabed data compression;recognition of images degraded by Gaussian blur;ground truth correspondence between nodes to learn graph-matching edit-costs;recognising familiar facial features in paintings belonging to separate domains;content based image retrieval based on modelling human visual attention;tensor-directed spatial patch blending for pattern-based in painting methods;a novel image descriptor based on anisotropic filtering;a novel method for simultaneous acquisition of visible and near-infrared light using a coded infrared-cut filter;bokeh effects based on stereo vision;confidence based rank level fusion for multimodal biometric systems;optical flow computation with locally quadratic assumption;multimodal output combination for transcribing historical handwritten documents;a dynamic approach and a new dataset for hand-detection in first person vision;segmentation and labelling of EEG for brain computer interfaces;performance analysis of active shape reconstruction of fractured, incomplete skulls;efficient naive bayes nearest neighbor classification and egomotion estimation and reconstruction with kalman filters and GPS integration.

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AMS-02 Monte Carlo Production in science Operation Centre at Southeast University 22

AMS-02 Monte Carlo Production in Science Operation Centre at...

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22nd International conference on Computing in High Energy and Nuclear Physics, CHEP 2016

作者： Luo, Junzhou Zhang, Jinghui Dong, Fang Song, Aibo Xiong, Runqun Shi, Jiyuan Huang, Feiqiao Shi, Renli Liu, Zijian Choutko, Vitaly Egorov, Alexander Eline, Alexandre School of Computer Science and Engineering Southeast University Nanjing China CambridgeMA United States Baidu Inc. United States

Southeast University (SEU) science Operation Centre (SOC) is one of the computing centres of the Alpha Magnetic Spectrometer (AMS-02) experiment. It provides 2016 CPU cores for AMS Monte Carlo production and a dedicated ∼1Gbps Long Fat Network (LFN) for AMS data transmission between SEU and CERN. In this paper, the development and deployment of SEU SOC's automated Monte Carlo production management system is discussed in detail. Data transmission optimizations are further introduced in order to speed up the data transfer in LFN between SEU SOC and CERN. In addition, monitoring tool for SEU SOC's Monte Carlo production is also presented. © Published under licence by IOP Publishing Ltd.

关键词： Data transfer

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Automated Agriculture News Collection, Analysis, and Recommendation 1st

Automated Agriculture News Collection, Analysis, and Recomm...

引用

1st International conference on Agriculture-Centric Computation, ICA 2023

作者： Joy, Shaikat Das Goel, Neeraj Department of Computer Science and Engineering Indian Institute of Technology Ropar Punjab Rupnagar India

ISBN: (纸本)9783031436048

A country like India mainly depends on the sector of agriculture. Most people’s economies are intensely engaged in the field of agriculture. So, developing the agriculture sector will be an excellent benefit for any country. Nowadays, People can immediately find any solution regarding agriculture through technology’s modernization. We can get any news from online articles anytime without any movement. Agriculture news should also be available in online news articles so that people who are intensely engaged with the agriculture field and economy can quickly get their valuable news. People must go through many online news sites to gather all the agriculture-related news. We have proposed an NLP-based solution so people can get all agriculture-related news in one place combining multiple features. In this process, we have collected many articles from multiple online newspapers and classified the agriculture news articles. For the classification process, we have applied several classification models. We have also added a machine learning-based model to check the duplication between news articles. Although, there will be multiple categories of agriculture news so that people can directly follow the news as they want. People will also be recommended articles based on content and times. So, Getting information about agriculture will be more straightforward for the farmer, and they can know about new technologies to apply in their work. Finally, in this proposed work, people can get all the essential agriculture news from various sources in one central point, including many exciting features. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Natural language processing systems

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Co-simulation to bring advanced physics to building thermal performance analysis 15

Co-simulation to bring advanced physics to building thermal ...

引用

15th International conference of the International Building Performance Simulation Association, Building Simulation 2017

作者： Mazuroski, Walter Mendes, Nathan Oliveira, Ricardo C.L.F. PUCPR/PPGEM/LST Pontical Catholic University of Parana Curitiba PR Brazil School of Electrical and Computer Engineering University of Campinas Campinas SP Brazil

ISBN: (纸本)9781510870673

Bringing advanced physics to building performance simulation (BPS) tools, by means of computational fluid dynamics (CFD) coupling, may enable significant improvement of accuracy on the prediction of energy consumption, thermal comfort, pollutant transport and mold growth risk. One of the challenges on coupling is the communication between whole-building simulation tool and the CFD package, with appropriate information about boundary conditions for transient calculation. This paper presents coupling techniques used with the building simulation tool Domus based on both Functional Mockup Interface (FMI) and one-to-one approach. This last one is explored in the present paper, as there is no FMU (Functional Mockup Unit) for CFD coupling, to show the effects of considering the full Navier-Stokes formulation and turbulence modeling on the thermal performance transient simulation of a dwelling. The results show non-neglectable discrepancies when advanced physics is brought for the present attic simulation. © 2017 Building Simulation conference proceedings. All rights reserved.

关键词： Computational fluid dynamics

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Feature extraction of EIT EUV images for solar prominence eruption

Feature extraction of EIT EUV images for solar prominence er...

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2nd International Multi-conference on Engineering and Technological innovation, IMETI 2009

作者： Jing, Ju Wang, Haimin Jenq, John Space Weather Research Lab. New Jersey Institute of Technology Newark NJ 07102 United States Computer Science Department Montclair State University Montclair NJ 07039 United States

ISBN: (纸本)1934272698

Filament or prominence in the solar atmosphere are clouds of relatively dense and cool gas. They are refer to the same thing while view from different perspectives. If the research focus is on the full solar disk surface, then we call them filament. If one's focus is on the limb of the solar surface then it is called prominence. The NJIT solar research group has intensive research on various solar activities and events from prominence, CME, filaments detection and flare. This report focuses on the comparison of using different extreme ultra violet images downloaded from NASA SOHO web sites. The studies of solar limb object detection which is an important preprocessing step that can lead to further detection of prominence eruption events. We discuss and compare various options of limb object detection using different wavelength of EUV images. Then we briefly describe how limb objects can be detected. Due to the effectiveness of using 304 A EUV image to detect prominence eruption, we compute only the features of these limb objects based on EUV 304A images. The results of the EUV Limb Object Detection Catalog, can be found at the NJIT Space Weather Research Lab web site http://***/itr/***.

关键词： Feature extraction

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Research on the Curriculum Development of education for Sustainable Development(ESD) from the Perspective of VR / AR assisted instruction - - Take Guangdong Business and technology University as an Example

Research on the Curriculum Development of Education for Sust...

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2020 International conference on Sustainability Management, ICSM 2020

作者： Du, Xin Yun Guan, Yi Bo Hsieh, Tsung Shun College of Art Guangdong Business and Technology University Duanzhou District Zhaoqing City Guangdong Province China College of Computer Application Technology Guangdong Business and Technology University Duanzhou District Zhaoqing City Guangdong Province China Krirk University Khet Bang Khen Krung Thep Maha Nakhon10220 Thailand

On September 25, 2015, the United Nations Sustainable Development Summit adopted the 2030 Agenda for sustainable development. education, as one of these goals, is an important way to achieve sustainable development, the function and responsibility of Universities to foster sustainable development should be emphasized. About the curriculum development of education of Sustainable Development(ESD), along with VR/AR virtual reality equipment technology getting gradually mature, it is a trend that VR/AR equipment used in the class of universities. Based on this background, we proposed two questions: how to integrate VR/AR equipment into ESD teaching and learning? Does the VR/AR device hybrid model have a significant impact on the effects of the ESD course? A total of 46 sophomore students from Guangdong Business and technology University were selected to participate in the quasi-course experiment. We conducted a questionnaire survey of students, used statistics analysis, compared the pre-test data with the post-test ones and interviewed a teacher. We concluded that VR/AR virtual reality equipment can be integrated into the curriculum of sustainable development. This teaching and learning model has a significant impact on students' grasp of the three dimensions: The cognitive, social emotional and the behavioral dimension of the curriculum of sustainable development. By integrating VR/AR into traditional classes, we can realize the virtualization of teaching environment and the liberalization of teaching space, further stimulate students' learning motivation and practical interest, and realize situational and immersive teaching and learning. © Published under licence by IOP Publishing Ltd.

关键词： Sustainable development

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