检索结果-内蒙古大学图书馆

Long-term spatiotemporal changes in nitrate contamination of municipal groundwater resources after sewerage network construction in the Hungarian Great Plain

引用

Environmental science and Pollution Research 2024年第51期31卷 61114-61137页

作者： Mester, Tamás Szabó, György Kiss, Emőke Balla, Dániel Department of Landscape Protection and Environmental Geography Faculty of Science and Technology University of Debrecen DebrecenH‑4032 Hungary Department of Data Science and Visualization Faculty of Informatics University of Debrecen DebrecenH‑4028 Hungary

Over the last decades, as a consequence of wastewater discharges and other anthropogenic sources, severe nitrate (NO3−) pollution has developed in municipal environment causing global concern. Thus, eliminating the potential sources of pollution is one of the major challenges of the twenty-first century, whereby sanitation services are essential for ensuring public health and environmental protection. In the present study, long-term monitoring (2011–2022) of shallow groundwater NO3− contamination in municipal environment was carried following the construction of the sewerage network (2014) in the light of the pre-sewerage situation. Our primary aim was to assess the long-term effects of sewerage on nitrate NO3− levels in the shallow groundwater and evaluate the efficiency of these sanitation measures over time. Based on the results, significant pollution of the shallow groundwater in the municipality was identified. During the pre-sewer period, NO3− concentrations exceeded the 50 mg/L limit in the majority of monitoring wells significantly, upper quartile values ranged between 341 and 623 mg/L respectively. Using Nitrate Pollution Index (NPI) and interpolated NO3− pollution maps, marked spatial north–south differences were detected. In order to verify the presence of wastewater discharges in the monitoring wells, the isotopic ratio shifts (δ) for 18O and D(2H) were determined, confirming municipal wastewater effluent. Variations in NO3−/Cl− molar ratios suggest also contamination from anthropogenic sources, including septic tank effluent from households and the extensive use of manure. data series of 7 years (2015–2022) after the investment indicate marked positive changes by the appearance of decreasing trends in NO3− values confirmed by Wilcoxon signed rank test and ANOVA. By comparing the pre- and post-sewerage conditions, the mean NO3− value decreased from 289.7 to 175.6 mg/L, with an increasing number of monitoring wells with concentrations below the limit. Our

关键词： Groundwater pollution

来源：评论

学校读者我要写书评

暂无评论

Developing a Learning Material in the 2D and 3D Space to Teach IT Technical Language 2

Developing a Learning Material in the 2D and 3D Space to Tea...

引用

2nd IEEE International Conference on Cognitive Aspects of Virtual Reality, CVR 2023

作者： Boda, Istvan Karoly Toth, Erzsebet Nagy, Laszlo T. Debrecen Reformed Theological University Department of Mathematics and Informatics Debrecen Hungary University of Debrecen Department of Data Science and Visualization Debrecen Hungary

ISBN: (纸本)9798350338638

In our paper we introduce the IT technical language learning material focusing on the specialized use of the English language in the context of information technology (IT) and computing. This material has been developed in the framework of the 3D virtual library project started in 2013 as part of the Cognitive Infocommunications (CogInfoCom) research. The current version of the virtual library has a hypertext or 2D implementation which is freely available in the internet. The advanced 3D presentation of the material uses the 3D features of the MaxWhere Seminar System, arranging and displaying the content of the language learning material in the Fly Podium 3D space. First, we provide a short overview on the virtual library project as an introduction to the IT technical language learning material. In the next section we describe the background and aim of the development of the material, then we present in detail the organization and structure of the 2D and 3D implementation of the learning material. Some inventions and ideas may deserve attention such as the topic map of selected terms, concepts, and texts functioning as a navigational tool, the interactive tests (where the first one is for practice, and the second one is actually a memory game), and the mapping mechanism of the hypertext-based material into the 3D virtual space of the MaxWhere system. © 2023 IEEE.

关键词： E-learning

来源：评论

学校读者我要写书评

暂无评论

Improving A Bilingual Leaning Material in The Three-Dimensional Space Using Google Translate 13

Improving A Bilingual Leaning Material in The Three-Dimensio...

引用

13th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2022

作者： Boda, István Károly Tóth, Erzsébet Nagy, László T. Debrecen Reformed Theological University Department of Mathematics and Informatics Debrecen Hungary University of Debrecen Department of Data Science and Visualization Debrecen Hungary

ISBN: (纸本)9781665492386

In our paper we introduce a bilingual language learning material based on the three dimensional virtual library model (3DVLM). This is an inherent part of the virtual library project started in 2013 in the framework of the Cognitive Infocommunications (CogInfoCom) research. The current version of the 3DVLM uses the 3D features and the hypertext-based presentation capabilities of the MaxWhere Seminar System. The latter is especially important because our material is based on web technology and organized so that it is going to be a scale-free network of interconnected nodes. First, we would like to provide a short overview on the virtual library in general, then introduce the organization and structure of the bilingual language learning material we have developed to support English language learning for Hungarian learners at an advanced level. The learning material is based on selected passages from classical literary works, presented both in English and in Hungarian, which we think may improve both English language skills and cultural awareness of language learners through the background knowledge they acquire. In order to check and test the bilingual language learning material we used the Google Translate service which proved to be a very efficient tool for both improving the learning material and deepening the language learning process. © 2022 IEEE.

关键词： E-learning

来源：评论

学校读者我要写书评

暂无评论

Sensor design and integration into small sized autonomous vehicle 2

Sensor design and integration into small sized autonomous ve...

引用

2nd IEEE Conference on Information Technology and data science, CITDS 2022

作者： Kovacs, Laszlo Baranyai, David Giraszi, Tamas Majoros, Tamas Kovacs, Adam Vagner, Mate Palkovics, Denes Berczes, Tamas University of Debrecen Nvidia Deep Learning Institute Certified Instructor Department of Data Science and Visualization Faculty of Informatics Debrecen Hungary University of Debrecen Department of Data Science and Visualization Faculty of Informatics Debrecen Hungary University of Debrecen Faculty of Informatics Debrecen Hungary University of Debrecen Department of It Systems and Networks Faculty of Informatics Debrecen Hungary

ISBN: (数字)9781665496537

ISBN: (纸本)9781665496537

Autonomous vehicles use several different kinds of sensors to get information about the surrounding area. With sensors and artificial intelligence, the autonomous vehicle tries to find the optimal decision as close as possible to the appropriate behavior. Because of the huge amount of data, the usage of modern machine learning and data-driven approaches is necessary. Although computing big data is not easily handled especially onboard a vehicle, the critical mass of the diverse data generated from different sources is essential. In the field of autonomous vehicles, there have not been standards yet, but the range of applied sensors is well-known. Most systems use a combination of cameras, radar, and LIDAR (Light Detection and Ranging) sensors that transmit data to a central computer that detects the environment around the car. Self-driving development could be supported with model-sized self-driving vehicles because of the complexity of the area. The development of autonomous vehicles consists of security, communication, and data processing issues. Mistakes are increasing the risks of potential accidents. The realistic environment which can be simulated or built makes it possible that the learned behavior can be carried across the platforms while the differences in the sizes are not playing an important role in the matter of learning. The previous reason causes the model-size self-driving development to be more cost-effective. In our work, we developed a self-driving model car with different types of sensors. Measurement data from them can be used to improve the self-driving capabilities of the vehicle. © 2022 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Visual exploration of relationships between document clusters

Visual exploration of relationships between document cluster...

引用

5th International Conference on Information visualization Theory and Applications, IVAPP 2014

作者： Jusufi, Ilir Kerren, Andreas Liu, Jiayi Zimmer, Björn Linnaeus University Department of Computer Science ISOVIS Group Växjö Sweden Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States

ISBN: (纸本)9789897580055

The visualization of networks with additional attributes attached to the network elements is one of the ongoing challenges in the information visualization domain. Such so-called multivariate networks regularly appear in various application fields, for instance, in data sets which describe friendship networks or co-authorship networks. Here, we focus on networks that are based on text documents, i.e., the network nodes represent documents and the edges show relationships between them. Those relationships can be derived from common topics or common co-authors. Attached attributes may be specific keywords (topics), keyword frequencies, etc. The analysis of such multivariate networks is challenging, because a deeper understanding of the data provided depends on effective visualization and interaction techniques that are able to bring all types of information together. In addition, automatic analysis methods should be used to support the analysis process of potentially large amounts of data. In this paper, we present a visualization approach that tackles those analysis problems. Our implementation provides a combination of new techniques that shows intra-cluster and inter-cluster relations while giving insight into the content of the cluster attributes. Hence, it facilitates the interactive exploration of the networks under consideration by showing the relationships between node clusters in context of network topology and multivariate attributes.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based anomaly detection for imaging in autonomous vehicles 2

Deep learning-based anomaly detection for imaging in autonom...

引用

2nd IEEE Conference on Information Technology and data science, CITDS 2022

作者： Kapusi, Tibor Peter Kovacs, Laszlo Hajdu, Andras University of Debrecen Faculty of Informatics Department of Data Science and Visualization Debrecen Hungary Nvidia Deep Learning Institute Certified Instructor Hungary

ISBN: (数字)9781665496537

ISBN: (纸本)9781665496537

Autonomous driving and self-driven vehicles have become among the most pursued research areas in recent years. Nowadays, various driving tasks can be solved by applying the newest machine learning techniques such as line tracking, traffic sign recognition, automated speed adjustment, and parking. However, difficult visual conditions and anomalies can cause problems in selected algorithms, which may occur unexcepted and failure operations in these cases. It is also expected not just very expensive to do such kinds of experiments, but these problematic conditions are also lead to dangerous traffic situations at the same time. We made an effort to put these kinds of studies into a cost-effective and safe model-scale environment. This paper introduces an anomaly detection method capable of recognizing abnormal and burnt-out objects in image scenes. Our proposed method is based on a fast neural network architecture using YOLO layers to detect regions. Our experiments demonstrate the capabilities and detection accuracy of the designed neural network, called anomalyNet, with the complete training and evaluation process. In the study, we work with publicly available datasets, but our model-sized track and DAVE (University of Debrecen Autonomous VehiclE) play an important role also. © 2022 IEEE.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Foreword to the special section on 3D object retrieval 2024 symposium (3DOR2024)

引用

Computers and Graphics 2025年 129卷

作者： Bustos, Benjamin Biasotti, Silvia Veltkamp, Remco C. Schreck, Tobias Sipiran, Ivan Department of Computer Science University of Chile Chile Millennium Institute Foundational Research on Data (IMFD) Chile Istituto di Matematica Applicata e Tecnologie Informatiche “E. Magenes” - CNR Italy Department of Information and Computing Sciences Utrecht University Netherlands Institute of Computer Graphics and Visualization Technical University of Graz Austria

来源：评论

学校读者我要写书评

暂无评论

On triangulations

引用

International Conference on Computational science and its Applications, ICCSA 2004

作者： Kolingerová, Ivana Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plze Czech Republic

ISBN: (纸本)3540220569

Triangulations in 2D and 3D are a necessary part of many applications. This paper brings a brief survey of main triangulations used in computer graphics and computational geometry, then focuses on Delaunay and greedy triangulations in 2D and 3D and presents their most important properties and algorithms. Then three applications from computer graphics and image processing areas are presented and results discussed. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Triangulation

来源：评论

学校读者我要写书评

暂无评论

Fast, GPU-based Computation of Large Point-Spread Function Sets for the Human Eye using the Extended Nijboer-Zernike Approach 2

Fast, GPU-based Computation of Large Point-Spread Function S...

引用

2nd IEEE Conference on Information Technology and data science, CITDS 2022

作者： Csoba, Istvan Kunkli, Roland University of Debrecen Faculty of Informatics Doctoral School of Informatics Debrecen Hungary University of Debrecen Faculty of Informatics Department of Data Science and Visualization Debrecen Hungary

ISBN: (数字)9781665496537

ISBN: (纸本)9781665496537

The point-spread function (PSF) is the diffraction pattern of an infinitesimal light source and plays an important role in the study and simulation of human vision. It forms the backbone of a multitude of vision-rendering algorithms, as it can be used to obtain the necessary kernels for convolution. Its computation is often performed via ray-tracing or the fast Fourier transform (FFT), but recently we also demonstrated that the Extended Nijboer-Zernike (ENZ) approach can be a more efficient alternative, which reduces the computation time of large PSF sets to just a few minutes. In this paper, we present a significantly faster, GPU-based computation scheme of the ENZ approach to further improve the computation process for such large PSF sets. Our algorithm works by reformulating the core V-{n}-{m} function to reusable subterms that are efficient to accumulate in parallel. We demonstrate that our proposed method leads to substantial performance improvements and facilitates the interactive exploration of visual aberrations when paired with our existing vision simulation algorithm. © 2022 IEEE.

关键词： Optical transfer function

来源：评论

学校读者我要写书评

暂无评论

Real time change detection and alerts from highway traffic data 05

Real time change detection and alerts from highway traffic d...

引用

ACM/IEEE 2005 Supercomputing Conference, SC'05

作者： Grossman, Robert Sabala, Michal Aanand, Anushka Eick, Steve Wilkinson, Leland Zhang, Pei Chaves, John Vejcik, Steve Dillenburg, John Nelson, Peter Rorem, Doug Alimohideen, Javid Leigh, Jason Papka, Mike Stevens, Rick National Center for Data Mining University of Illinois Chicago Open Data Research Department of Computer Science University of Illinois Chicago Electronic Visualization Laboratory University of Illinois Chicago Argonne National Laboratory

ISBN: (纸本)1595930612

We developed a testbed containing: real time data from over 830 highway traffic sensors in the Chicago region, data about weather, and text data about events that might affect traffic. The goal was to detect in real time interesting changes in traffic conditions. Given the size and complexity of the data, we choose to build a large number of separate baseline models. We built a separate baseline for each hour in the day, for each day in the week, and for every 2 or 3 traffic sensors, resulting in over 42,000 separate baseline models. We also built a baseline engine to build the necessary baselines automatically. We modified an open source scoring engine to process in real time each new sensor reading, update the appropriate feature vectors, score the updated feature vectors using the baseline models, and send out real time alerts when deviations from the baselines were detected. © 2005 IEEE.

关键词： Real time systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：