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IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

作者： Sanggyu Shin Yoichi Seto Yosuke Kasai Rituna Ka Daishi Kuroki Shinichi Toyoda Koji Hasegawa Kazuhiro Midorikawa Dept. of Applied Computer Engineering TOKAI University Hiratsuka-shi Japan Master Program of Information Systems Architecture Advanced Institute of Industrial Technology Tokyo Japan Master Program of Information Systems Architecture Advanced Institute of Industrial Technology

ISBN: (纸本)9781728126289

In this paper, we propose a cybersecurity exercise system in a virtual computer environment. The human resource development for security fields is an urgent issue because of the threat of cyber-attacks, recently, is increasing, many incidents occurring, but there is a not enough security personnel to respond. Some universities and companies are conducting education using a commercial training system on the market. However, built and operates the training system is expensive, therefore difficult to use in higher education institutions and SMEs. However, to build and operates, the training system needs high cost, thus difficult to use in higher education institutions and SMEs. For this reason, we developed the CyExec: a cybersecurity exercise system consisting of a virtual computer environment using VirtualBox and Docker. We also implemented the WebGoat that is an OSS vulnerability diagnosis and learning program on the CyExec and developed an attack and defense exercise program.

关键词： computer science education educational institutions further education security of data Educational institutions Continuing Education Data Security computer science education Network security higher education institute SUPERCONDUCTING MAGNETIC ENERGY STORAGE Security Personnel Training Functional training

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A Tabu Search with Path-Relinking Simheuristic Approach for the Uncapacitated Facility Location Problem Under Uncertainty

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SSRN 2023年

作者： Peidro, David Martin, Xabier A. Panadero, Javier Juan, Angel A. Research Center on Production Management and Engineering Universitat Politècnica de València Plaza Ferrandiz Carbonell Alcoy03801 Spain Dept. of Computer Architecture and Operating Systems Universitat Autònoma de Barcelona Carrer de les sitges Bellaterra08193 Spain

The uncapacitated facility location problem (UFLP) is a well-known combinatorial optimization problem that finds practical applications in various fields, such as logistics and telecommunication networks. While existing literature primarily focuses on the deterministic version of the problem, real-life scenarios often involve uncertainties, such as fluctuating customer demands or service costs. This paper presents a novel algorithm for addressing the UFLP under *** approach combines a tabu search metaheuristic with path-relinking to obtain near-optimal solutions within short computational times for the determinisitic version of the problem. The algorithm is further enhanced by integrating it with simulation techniques to solve the UFLP with random service costs. A set of computational experiments is conducted to illustrate the effectiveness of the solving method. © 2023, The Authors. All rights reserved.

关键词： Tabu search

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Development of an Ontology for Bulgarian Soil Types

Development of an Ontology for Bulgarian Soil Types

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Automatics and Informatics (ICAI), International Conference

作者： Asya Stoyanova-Doycheva Sebiha Madanska Sheban Bilyanov Dept. of Computer Systems University of Plovdiv “Paisii Hilendarski” Plovdiv Bulgaria IICT Bulgarian Academy of Sciences Sofia Bulgaria Dept. of Residential Buildings University of Architecture Civil Engineering and Geodesy Sofia Bulgaria

The article presents the development of an ontology for the Taxonomic List of Soils in Bulgaria (according to the FAO World System). In addition to soil types, the ontology includes knowledge about the different agro-climatic regions in Bulgaria that are suitable for cultivating various agricultural crops. The ontology is part of the knowledge base of the ZEMELA platform for smart agriculture.

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BC4ECO - Using Visual Tools for a Shared Understanding and Pedagogical Approach across an Interdisciplinary Consortium

BC4ECO - Using Visual Tools for a Shared Understanding and P...

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Andy Peruccon Roisin Lyons Amalia de Gotzen Tiziana Margaria Luca Simeone dept. of Architecture Design and Media Technology Aalborg University Copenhagen Denmark Kemmy Business School University of Limerick Limerick Ireland Dept. of Computer Science and Information Systems University of Limerick Limerick Ireland

Effective communication is crucial when working on complex or wicked problems in interdisciplinary, international teams. Developing a shared understanding of critical concepts and aligning knowledge, focus, and resources can be problematic when stakeholders speak different languages, span several disciplines and work within different national or industry-based norms. Using visual tools to represent critical concepts and their relations, and map out our strategic goals has greatly helped combat such issues. This paper recounts the use and impact of adopting visual tools within the transnational and interdisciplinary collaborative environment in the BC4ECO project's international consortium. The Miro Board and the canvas approach greatly helped represent, visualise, and thus concretise the structure and contents of our collaboration, which takes place within a 3 years ERASMUS+ framework that builds and delivers Summer School, MOOCS as well as teacher and multiplier events about harnessing the potential of Distributed Ledger Technologies (DLTs) for environmental sustainability. As the materials and MOOCS are expected to become Open Education Resources and have a wide impact, it is particularly crucial to get the contents as well as the pedagogy right, in spite of the team's differences in almost any dimension of background and culture.

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Application of image processing to measure road distresses

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WSEAS Transactions on Information Science and Applications 2008年第1期5卷 1-7页

作者： Rajab, Maher I. Alawi, Mohammad H. Saif, Mohammed A. Computer Engineering Dept. College of Computer and Information Systems University of Umm Al-Qura P.O. Box 5555 Makkah Saudi Arabia Civil Engineering Dept. College of Engineering and Islamic Architecture University of Umm Al-Qura P.O. Box 5555 Makkah Saudi Arabia

Pavements usually experience different types of distress due to repeated traffic loads, aggressive environmental conditions, construction materials, soil condition of the underline subgrade, and the method of construction. Longitudinal and transverse cracking, potholes, rutting, and bleeding are common examples of such distresses associated with flexible pavements. As time progresses, the severity of these distreaaes increases and consequently, ride quality is adversely affected. Early detection and measurement of the extent of distresses coupled with prompt reactive measures are necessary to keep the pavement function at an acceptable level. Traditional methods for distress detection and measurement are laborious, time consuming, and subject the involved personnel to accidents. In contrast, image measurement methods are effortless, safe, and can be performed in a short time. This research paper performs image processing measurements to estimate areas of a pothole and alligator cracking, and sets a program for plane measurements of an area that experience rutting. The image measurements are compared with the traditional measurements. The results show that image measurements are close to those obtained by using the traditional methods.

关键词： Traffic signals

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Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Introducing SLAMBench, a performance and accuracy benchmarki...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Luigi Nardi Bruno Bodin M. Zeeshan Zia John Mawer Andy Nisbet Paul H. J. Kelly Andrew J. Davison Mikel Luján Michael F. P. O'Boyle Graham Riley Nigel Topham Steve Furber Dept. Computing Imperial College London UK Institute for Computing Systems Architecture The Univ. of Edinburgh Scotland School of Computer Science Univ. of Manchester UK

ISBN: (纸本)9781479969241

Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded platforms is challenging. Meanwhile, trends in low-cost, low-power processing are towards massive parallelism and heterogeneity, making it difficult for robotics and vision researchers to implement their algorithms in a performance-portable way. In this paper we introduce SLAMBench, a publicly-available software framework which represents a starting point for quantitative, comparable and validatable experimental research to investigate trade-offs in performance, accuracy and energy consumption of a dense RGB-D SLAM system. SLAMBench provides a KinectFusion implementation in C++, OpenMP, OpenCL and CUDA, and harnesses the ICL-NUIM dataset of synthetic RGB-D sequences with trajectory and scene ground truth for reliable accuracy comparison of different implementation and algorithms. We present an analysis and breakdown of the constituent algorithmic elements of KinectFusion, and experimentally investigate their execution time on a variety of multicore and GPU-accelerated platforms. For a popular embedded platform, we also present an analysis of energy efficiency for different configuration alternatives.

关键词： Three-dimensional displays Accuracy Benchmark testing Simultaneous localization and mapping Graphics processing units Kernel Cameras

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Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation

Intelligent Resource Allocation in Power Grids: Leveraging V...

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IEEE Workshop on Evolving and Adaptive Intelligent systems (EAIS)

作者： Henrique O. Caetano Matheus de S. S. Fogliatto N. Luiz Desuó Benvindo R. Pereira J Carlos D. Maciel Marco Aiello Dept. of Electrical and Computer Engineering São Carlos School of Engineering University of São Paulo Department of Service Computing Institute for Architecture of Application Systems University of Stuttgart

ISBN: (数字)9798350366235

ISBN: (纸本)9798350366242

Within the paradigm of Evolving and Adaptive Intelligent systems, the Electrical Power System (EPS) represents a Critical Infrastructure demanding robust reliability metrics. This study pioneers the application of Variable Neighborhood Search (VNS) heuristic to the Optimal Switch Allocation (OSA) problem in the EPS. Adapting neighborhood structures and local search methods, we consider the joint allocation of Manual Switches and Remote-Controlled switches, addressing interdependencies. Results highlight VNS efficacy in navigating OSA challenges, showcasing its adaptability in an evolving system. Comparative analyses endorse VNS as a valuable tool for addressing EPS reliability within the dynamic landscape of evolving and adaptive intelligent systems.

关键词： Adaptive systems Uncertainty Switches Search problems Robustness Power grids Critical infrastructure

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Quantifying uncertainty in Bayesian Networks structural learning

Quantifying uncertainty in Bayesian Networks structural lear...

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IEEE Workshop on Evolving and Adaptive Intelligent systems (EAIS)

作者： Vitor O. Barth Henrique O. Caetano Carlos D. Maciel Marco Aiello Dept. of Electrical and Computer Engineering São Carlos School of Engineering University of São Paulo Department of Service Computing Institute for Architecture of Application Systems University of Stuttgart

ISBN: (数字)9798350366235

ISBN: (纸本)9798350366242

The key goals in learning Bayesian networks (BNs) from data are to identify significant statistical relationships between variables and to build a Directed Acyclic Graph (DAG) that represents these relationships through Joint Probability Distributions. Most research relies on score-based or conditional test methods for model selection. However, when using real-world data, it can be challenging to identify whether the learned DAG represents the underlying relations inherent in the limited datasets, particularly when evaluating data obtained from multiple independent sources. This study presents a methodology to assess the credible interval for both the existence and direction of each edge within Bayesian networks derived from data. Furthermore, it explores the fusion of models acquired from distinct and independent datasets. This approach enables the Bayesian learning of Bayesian Networks (BNs) from data by treating the uncertainty associated with the existence and orientation of each edge as a random variable. By evaluating the probability of the orientation of each edge, it is possible to suggest the existence of a potential latent variable within the dataset. If an edge exhibits equiprobable directions and is verified to exist, it becomes a plausible hypothesis for a latent variable. The Fast Causal Algorithm, originally introduced by [1], is the foundation of this approach. Finally, by employing a maximum a posteriori estimation, the most prominent edges and their respective orientations are identified and employed to create the leading DAG. We present our findings in simulated datasets with different length sizes. By comparing the structure of the learned DAGs with existing structures and evaluating the inference capabilities of the final BN, we establish that our approach achieves results comparable to the most recent studies in the field, while offering insights into the model’s reliability and improving the use of the data.

关键词： Maximum a posteriori estimation Uncertainty Scalability Data models Probability distribution Bayes methods Random variables

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Mobile phone-based health application for women: A Singapore study 11

Mobile phone-based health application for women: A Singapore...

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4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11

作者： Xue, Lishan Yen, Ching Chiuan Chang, Leanne Tai, Bee Choo Chan, Hock Chuan Duh, Henry Been-Lirn Choolani, Mahesh Division of Industrial Design 4 Architecture Drive Singapore 117566 Singapore NUS CNM Programme 11 Law Link Block AS6 Singapore 117589 Singapore NUS Dept. of Epidemiology and Public Health 16 Medical Drive Singapore 117597 Singapore NUS Dept. of Information Systems 'COM2' #04-34 15 Computing Drive Singapore 117418 Singapore NUS Dept. of Electrical and Computer Engineering Block E4 Engineering Drive 3 Singapore 117576 Singapore NUS Dept. of Obstetrics and Gynaecology NUHS Tower Block IE Kent Ridge Road Singapore 119228 Singapore

ISBN: (纸本)9781450309134

The purpose of this paper is illustrate why and how a mobile-phone based application was proposed to explore how women react and their acceptance toward well-being management after interacting with the application. It was organized by considering the Female-focused Design Strategy (FDS) and designed to have three features: a description of health topics, a self-help diagnosis through step-by-step questions and quizzes about health topics to test general health knowledge. The paper reports the qualitative user feedback and discusses the recommendations and trends for future design and implementation for women's health. © 2011 ACM.

关键词： Cellular telephones

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Amplitude estimate of the ultra wide band quasi radio signal with unknown initial phase and duration

Amplitude estimate of the ultra wide band quasi radio signal...

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International Conference on Space Science and Communication (IconSpace)

作者： Yury E. Korchagin Oleg V. Chernoyarov Alexander A. Makarov Alexandra V. Salnikova Dept. of Radio physics Voronezh State University (VSU) Voronezh Russia Dept. of Radio engineering Devices and Antenna Systems National Research University “MPEI” Moscow Russia Dept. of Information Technologies and Computer-aided Design Voronezh State University of Architecture and Civil Engineering Voronezh Russia

We considered the new quasi-likelihood amplitude estimate algorithm for the ultra wide band quasi radio signal with unknown initial phase and inaccurately known duration against white Gaussian noise. Its block diagram was presented in single-channel units. We found the statistical characteristics of the introduced estimate and we also investigated the influence of the prior signal duration ignorance on the estimation efficiency. We determined the loss in accuracy of the amplitude estimate because of the duration-offset replica.

关键词： Signal to noise ratio Estimation Joints Random variables Accuracy Dispersion Physics

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