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14th Brazilian Symposium on GeoInformatics, GEOINFO 2013

作者： Costa, George Henrique Rangel Baldo, Fabiano Graduate Program in Applied Computing Computer Science Department UDESC Santa Catarina State University Joinville Brazil

Digital road maps have gained fundamental role in population's daily life, so they need to be accurate and up-to-date. A viable solution is to generate maps by processing GPS data. However, one of the most challenging tasks regarding this approach is how to extract road centerlines from the cloud of georeferenced GPS points. The literature presents various methods that do it, but none have been found that is prepared for the continuous update of the map and refinement of its roads' accuracy. In this context, the objective of this work is to propose a method to identify road centerlines using an evolutive algorithm in order to generate and update road maps. This work uses as source of data GPS traces collected by smartphones. Although suitable to obtain a large amount of georeferenced data, these devices bring the additional problem of identifying the transport vehicle used along each trace. Preliminary results indicate that the method's performance is satisfactory, with an average variation of 2.95 meters in relation to satellite images.

关键词： Smartphones

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Applying the Diamond Model of Intrusion Analysis: Brazil's Operation 'Car Wash' Cyberattack

Applying the Diamond Model of Intrusion Analysis: Brazil's O...

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2022 International Symposium on Networks, computers and Communications, ISNCC 2022

作者： Ximenes, Pablo Mello, Patricia School of Cybersecurity and Privacy College of Computing Atlanta United States Computer Science Graduate Program Fortaleza Brazil

ISBN: (数字)9781665485449

ISBN: (纸本)9781665485449

This paper uses the Diamond Model of intrusion analysis to discuss the intricacies and unfoldings of the cyberattack that enabled Operation 'Car Wash' leak (nicknamed 'VazaJato'), one of the most significant leaks in Brazil's political history. Our discussion tries to understand the cyberattack that took place in a threat intelligence perspective and, as a result, it draws conclusions and presents an assessment and some recommendations with regards to cybersecurity policy. © 2022 IEEE.

关键词： Cybersecurity

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An empirical study of PM2.5 forecasting using neural network

An empirical study of PM2.5 forecasting using neural network

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2017 IEEE SmartWorld Ubiquitous Intelligence and computing, Advanced and Trusted Computed, Scalable computing and Communications, Cloud and Big Data computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017

作者： Mahajan, Sachit Chen, Ling-Jyh Tsai, Tzu-Chieh Social Networks and Human Centered Computing Program Taiwan International Graduate Program Taiwan Institute of Information Science Academia Sinica Taiwan Department of Computer Science National Chengchi University Taiwan

ISBN: (纸本)9781538604342

In the recent years, a lot of efforts have been made to regulate air pollutant levels in most of the developed and developing countries. Fine particulate matter (PM2.5) is considered to be one of the major reasons behind deteriorating public health and a lot of efforts are being made to keep a check on PM2.5 levels. Accurately forecasting PM2.5 level is a challenging task and has been highly dependent on model based approaches. In this paper, we explore new possibilities to hourly forecast PM2.5. Choosing the right forecasting model becomes a very important aspect when it comes to improvement in prediction accuracy. We used Neural Network Autoregression (NNAR) method for the prediction task. The paper also provides a comparative analysis of prediction performance for additive version of Holt-Winters method, autoregressive integrated moving average (ARIMA) model and NNAR model. The experimentation and evaluation is done using real world measurement data from Airbox Project, which shows that our proposed method accurately does the prediction with significantly low error. © 2017 IEEE.

关键词： Neural networks

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DiffMat:Latent diffusion models for image-guided material generation

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Visual Informatics 2024年第1期8卷 6-14页

作者： Liang Yuan Dingkun Yan Suguru Saito Issei Fujishiro Graduate School of Science and Technology Keio UniversityKanagawaJapan School of Computing Tokyo Institute of TechnologyTokyoJapan Department of Information and Computer Science Keio UniversityKanagawaJapan

Creating realistic materials is essential in the construction of immersive virtual *** existing techniques for material capture and conditional generation rely on flash-lit photos,they often produce artifacts when the illumination mismatches the training *** this study,we introduce DiffMat,a novel diffusion model that integrates the CLIP image encoder and a multi-layer,crossattention denoising backbone to generate latent materials from images under various *** a pre-trained StyleGAN-based material generator,our method converts these latent materials into high-resolution SVBRDF textures,a process that enables a seamless fit into the standard physically based rendering pipeline,reducing the requirements for vast computational resources and expansive *** surpasses existing generative methods in terms of material quality and variety,and shows adaptability to a broader spectrum of lighting conditions in reference images.

关键词： SVBRDF Diffusion model Generative model Appearance modeling

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Universal algorithm for transforming Hamiltonian eigenvalues

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Physical Review Research 2025年第1期7卷 013331-013331页

作者： Tatsuki Odake Hlér Kristjánsson Philip Taranto Mio Murao Department of Physics Graduate School of Science The University of Tokyo Hongo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan Perimeter Institute for Theoretical Physics 31 Caroline Street North Waterloo Ontario N2L 2Y5 Canada Institute for Quantum Computing University of Waterloo 200 University Avenue West Waterloo Ontario N2L 3G1 Canada Department of Computer Science and Operations Research Université de Montréal Montréal Québec H3T 1J4 Canada Mila – Québec AI Institute Montréal Québec H2S 3H1 Canada Department of Physics & Astronomy University of Manchester Manchester M13 9PL United Kingdom Trans-Scale Quantum Science Institute The University of Tokyo Hongo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan

Manipulating Hamiltonians governing physical systems has found a broad range of applications, from quantum chemistry to semiconductor design. In this work, we provide a way of manipulating Hamiltonians, by transforming their eigenvalues while keeping their eigenstates unchanged. We develop a universal algorithm that deterministically implements any desired (suitably differentiable) function on the eigenvalues of any unknown Hamiltonian, whose positive-time and negative-time dynamics are given as a black box. Our algorithm uses correlated randomness to efficiently combine two subroutines—namely controlization and Fourier series simulation—exemplifying a general compilation procedure that we develop. The time complexity of our algorithm is significantly reduced via said compilation technique compared to a naïve concatenation of the subroutines and outperforms similar methods based on the quantum singular value transformation.

关键词： Subroutines

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Server Cloud Based Security Surveillance Systems: a Design science Research 11

Server Cloud Based Security Surveillance Systems: a Design S...

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11th International Conference on Cyber and IT Service Management, CITSM 2023

作者： Nurenie, Alexander Ramadhan, Arief Abdurachman, Edi Trisetyarso, Agung Zarlis, Muhammad Bina Nusantara University Binus Graduate Program - Computer Science Computer Science Department Jakarta11480 Indonesia Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9798350305968

In this research, the author addresses the prevalent issues faced by users of cloud services, especially those using Peer-to-Peer (P2P) technology, such as connection losses, security concerns, and poor video quality. The study does not delve into the complex problems at the data center level but instead proposes a novel Design science Research approach. This new method, tested with five clients in varied locations, utilizes port forwarding to establish a direct server-client connection, bypassing traditional P2P frameworks. The results show that this approach significantly improves quality over the P2P system. Feedback from clients before and after the experiment indicates a positive response to this new method. This research offers insights into overcoming P2P-related issues in cloud services and contributes to the development of cloud-based server science, presenting a cost-effective, independent alternative to data center-dependent P2P services, with plans for ongoing research in this area. © 2023 IEEE.

关键词： Cost effectiveness

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A power-efficient hierarchical network-on-chip topology for stacked 3D ICs

A power-efficient hierarchical network-on-chip topology for ...

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2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013

作者： Matos, Debora Reinbrecht, Cezar Motta, Tiago Susin, Altamiro PPGC -Graduate Program in Computer Science -UFRGS Institute of Informatics Porto Alegre Brazil

ISBN: (纸本)9781479905249

Multi-Processors Systems-on-Chip (MPSoCs) are demanding for high performance, low power and high density, and therefore, three-dimensional integrated circuits (3DIC) emerge as a solution to integrate these systems. In order to appropriately interconnect the layers of these systems in terms of flexibility and scalability, a Network-on-Chip (NoC) is typically employed. In this paper, we argue about the scenario of 3D designs, covering all important issues about this new concept. In agreement with all features discussed in this paper, we have proposed a hierarchical 3D topology that meets well the reality of these designs. Experimental results analyze different topologies and show the large benefits in area and power of our proposal. © 2013 IEEE.

关键词： Network-on-chip

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Nonlocal flat optics for size-selective image processing and denoising

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Nature Communications 2025年第1期16卷 1-9页

作者： Chamoli, Sandeep Kumar Jin, Chunqi Fan, Yandong Kiani, Mehdi Goh, Heedong Huang, Chen Guo, Shuyu Wang, Yuntong Zhu, Fei Xing, Guohua Li, Bo Bai, Tian Alù, Andrea Li, Wei GPL Photonics Laboratory State Key Laboratory of Luminescence Science and Technology Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun Jilin 130033 China University of Chinese Academy of Sciences Beijing 100049 China Photonics Initiative Advanced Science Research Center City University of New York New York 10031 NY United States Physics Program Graduate Center of the City University of New York New York 10016 NY United States College of Computer Science and Technology Jilin University Changchun 130012 China

All-optical image processing based on metasurfaces is a swiftly advancing field of technology, due to its high speed, large integrability and inherently low energy requirements. So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. Here, we introduce an optical solution for real-time size-selective image processing and experimentally demonstrate the concept with a metal-dielectric-metal film performing a spatial band-pass filter in momentum space. We show high-resolution (~0.9 μm) edge detection and real-time dynamic denoising, ideally suited for bio-imaging applications and target recognitions. Our demonstrated k-space filtering metasurface expands the scope of nonlocal flat optics for analog image processing, ushering in opportunities for ultra-compact, cost-effective, and multifunctional image processors. © The Author(s) 2025.

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Effectively Discriminating Fighting Shots in Action Movies

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Journal of computer science & Technology 2011年第1期26卷 187-194页

作者：马述高王伟强 School of Information Science and Engineering Graduate University of Chinese Academy of Sciences Computer Science Department Boston UniversityBoston MA 02215U.S.A. Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

Fighting shots are the highlights of action movies and an effective approach to discriminating fighting shots is very useful for many applications, such as movie trailer construction, movie content filtering, and movie content retrieval. In this paper, we present a novel method for this task. Our approach first extracts the reliable motion information of local invariant features through a robust keypoint tracking computation; then foreground keypoints are distinguished from background keypoints by a sophisticated voting process; further, the parameters of the camera motion model is computed based on the motion information of background keypoints, and this model is then used as a reference to compute the actual motion of foreground keypoints; finally, the corresponding feature vectors are extracted to characterizing the motions of foreground keypoints, and a support vector machine （SVM） classifier is trained based on the extracted feature vectors to discriminate fighting shots. Experimental results on representative action movies show our approach is very effective.

关键词： video analysis motion concept learning

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Concept, Technology, Barriers To Smart Village: A Systematic Literature Review 11

Concept, Technology, Barriers To Smart Village: A Systematic...

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11th International Conference on Cyber and IT Service Management, CITSM 2023

作者： Utamajaya, Joy Nashar Meyliana Prabowo, Harjanto Hidayanto, Achmad Nizar Ramadhan, Arief Bina Nusantara University Computer Science Department Binus Graduate Program - Computer Science Department Jakarta11480 Indonesia Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9798350305968

Smart villages that utilize digital technology are a solution to assist rural community services in meeting their needs, especially for developing countries. However, financial problems, namely the high cost of infrastructure, the size of the informal economy and governance are challenges in limiting the government's aspirations regarding the smart village concept. The presentation of this article examines the state of smart village development in developing countries, which includes conceptual understanding, motivations, drivers and barriers to smart villages. The purpose of this study is to find answers to research questions by reviewing several selected study articles. The method used was to search for selected studies and there were 60 selected studies identified from a search of five literature databases which initially contained 3394 articles. The results of the data were analyzed using synthetic analysis and thematic analysis. The results of this study found data related to Concept, Technology, Barriers To Smart Village which came from several articles by answering questions from the research, namely RQ1: How many articles from the 10 most populous countries discussed Smart Village, RQ2: What are the basic dimensions of Smart Village, RQ3: What new technologies are discussed in Smart Village digitization, RQ4: What are the Challenges in Smart Village. The results of this SLR can also later be used as a reference for further researchers to find out the background of research related to smart villages. The conclusion obtained in this research is the end of the explanation of this article concludes that there are still many shortcomings in this research and it is hoped that in the future many studies will be able to explore other aspects such as regulations and others that are not discussed in the article so that it is expected to be a reference for further researchers to examine information related to smart villages. in order to find an ideal and up-to-date con

关键词： Developing countries

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