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检索条件"任意字段=24th International Symposium on Algorithms and Computation"

共 208 条记录，以下是1-10 订阅

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algorithms and computation - 24th international symposium, ISAAC 2013, Proceedings

Algorithms and Computation - 24th International Symposium, I...

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24th international symposium on algorithms and computation, ISAAC 2013

ISBN: (纸本)9783642450297

the proceedings contain 68 papers. the topics discussed include: geodesic-preserving polygon simplification;space-efficient and data-sensitive polygon reconstruction algorithms from visibility angle information;on the edge crossing properties of euclidean minimum weight laman graphs;structure and computation of straight skeletons in 3-space;pattern matching with non overlapping reversals - approximation and on-line algorithms;single and multiple consecutive permutation motif search;less space: indexing for queries with wildcards;on determining deep holes of generalized reed-solomon codes;isomorphism on subgraph-closed graph classes: a complexity dichotomy and intermediate graph classes;determinantal complexities and field extensions;algorithms to measure diversity and clustering in social networks through dot product graphs;sublinear-time algorithms for monomer-dimer systems on bounded degree graphs;and the complexity of finding a large subgraph under anonymity constraints.

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algorithms and computation: 24th international symposium, ISAAC 2013, Hong Kong, China, December 16-18, 2013, Proceedings

Algorithms and Computation: 24th International Symposium, IS...

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2013年

作者： Leizhen Cai Siu Wing Cheng Takwah Lam

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24th international symposium on Fundamentals of computation theory, FCT 2023

24th International Symposium on Fundamentals of Computation ...

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24th international symposium on Fundamentals of computation theory, FCT 2023

ISBN: (纸本)9783031435867

the proceedings contain 30 papers. the special focus in this conference is on international symposium on Fundamentals of computation theory. the topics include: Distance-Based Covering Problems for Graphs of Given Cyclomatic Number;an Efficient computation of the Rank Function of a Positroid;minimizing Query Frequency to Bound Congestion Potential for Moving Entities at a Fixed Target Time;complexity of Conformant Election Manipulation;α - β -Factorization and the Binary Case of Simon’s Congruence;bounds for c-Ideal Hashing;parameterized Complexity of the th+1 -Free Edge Deletion Problem;on the Parallel Complexity of Group Isomorphism via Weisfeiler–Leman;the Complexity of (Pk, P) -Arrowing;on Computing a Center Persistence Diagram;subhedge Projection for Stepwise Hedge Automata;robust Identification in the Limit from Incomplete Positive Data;cordial Forests;vertex Ordering with Precedence Constraints;forwards- and Backwards-Reachability for Cooperating Multi-pushdown Systems;shortest Dominating Set Reconfiguration Under Token Sliding;computing Optimal Leaf Roots of Chordal Cographs in Linear Time;verified Exact Real computation with Nondeterministic Functions and Limits;exact and Parameterized algorithms for the Independent Cutset Problem;kernelization for Finding Lineal Topologies (Depth-First Spanning Trees) with Many or Few Leaves;Two UNO Decks Efficiently Perform Zero-Knowledge Proof for Sudoku;the Rectilinear Convex Hull of Line Segments;power of Counting by Nonuniform Families of Polynomial-Size Finite Automata;domino Snake Problems on Groups;parsing Unranked Tree Languages, Folded Once;the Impact of State Merging on Predictive Accuracy in Probabilistic Tree Automata: Dietze’s Conjecture Revisited;computing Subset Vertex Covers in H-Free Graphs;on Computing Optimal Temporal Branchings.

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Edge Computing Data Gateway Architecture 24

Edge Computing Data Gateway Architecture

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24th international symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Pies, Martin Velicka, Jan Hajovsky, Radovan Slanina, Zdenek Jokic, Dejan VSB-TU Ostrava Department of Cybernetics and Biomedical Engineering Ostrava Czech Republic International Burch University Department of Electrical and Electronics Engineering Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9798331515799

this article presents the design of an IoT communication gateway architecture aimed at collecting data from wireless sensor nodes, processing it using edge computing techniques, and distributing it to higher-level systems, such as cloud technologies. the architecture is tailored for long-term outdoor installations and incorporates a backup communication channel to enhance system reliability. the design prioritizes energy efficiency and resilience to harsh climatic conditions. To validate the system's functionality and reliability, in-situ testing was conducted, allowing for real-world testing and generating valuable data for further system optimization. © 2025 IEEE.

关键词： Gateways (computer networks)

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Strategic Energy Storage Allocation In Distribution Network For Energy Cost Reduction And Voltage Profile Improvement 24

Strategic Energy Storage Allocation In Distribution Network ...

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24th international symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Šarić, Mirza Hivziefendić, Jasna Konjić, Tatjana Mustafić, Tihana International Burch University Faculty of Electrical and Electronics Engineering Sarajevo Bosnia and Herzegovina University of Tuzla Faculty of Electrical and Electronics Engineering Tuzla Bosnia and Herzegovina

ISBN: (纸本)9798331515799

the integration of renewable energy sources (RES) and battery energy storage systems (BESS) into electrical power distribution systems (EPDS) is growing rapidly, but presents challenges like increased energy losses, voltage deterioration, and rising costs. this paper proposes a multi-objective optimization framework for optimal BESS allocation in EPDS to reduce costs and improve voltage profiles. Using a genetic algorithm, Non-dominated Sorting Genetic Algorithm III (NSGA-III), it balances objectives while considering system and battery constraints. Python's Pandapower and DEAP (Distributed Evolutionary algorithms in Python) libraries are used for power flow analysis and optimization. the model is validated on a medium-voltage radial network with high renewable energy sources (RES) penetration, showing significant showing significant gains in network performance and highlight the potential for battery energy storage systems (BESS) to become standard components in modern power systems. © 2025 IEEE.

关键词： Battery storage

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Towards Information Sharing Beetle Antennae Search Optimization 24th

Towards Information Sharing Beetle Antennae Search Optimizat...

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24th international Conference on algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Liu, Xuan Wang, Chenyan Liu, Wenjian Zhang, Lefeng Liu, Xianggan Gao, Yutong Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE Minzu University of China Beijing China Hainan International College of Minzu University of China Li’an International Education Innovation pilot Zone Hainan China City University of Macau China Natural Language Processing and Knowledge Graph Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789819615278

the study of bioinformatics-based evolutionary computation has long been of significant interest within the scientific community. Beetle antennae search algorithm is widely used because of its lightweight, however, it lacks information sharing due to individual iteration in the algorithm. In this paper, we propose an innovative pheromone-based beetle antennae search algorithm, which evolves from a single iterative individual in BAS algorithm to multiple parallel iterative individuals and incorporates the pheromone sharing mechanism found in ant colony optimization algorithm. Applying the pheromone-based beetle antennae search algorithm to the virtual machine placement problem in cloud computing, we find that pheromone sharing mechanism allows the PB-BAS algorithm to exhibit superior optimization capabilities and effectively avoids convergence to local optimal. To verify the performance of the algorithm, we select other alternative algorithms and conduct a large number of comparative experiments under different experimental setups, the experimental results show the effectiveness and efficiency of our algorithm. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ant colony optimization

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A Multi-holder Role and Strange Attractor-Based Data Possession Proof in Medical Clouds 24th

A Multi-holder Role and Strange Attractor-Based Data Possess...

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24th international Conference on algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Guo, Jinyuan Sun, Lijuan Wu, Jingchen Chu, Chiawei Gao, Yutong Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China School of Cybersecurity Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance Ministry of Education Minzu University Beijing China Intellectual Property Information Service Center BHU Beihang University Beijing China City University of Macau Taipa China Li’an International Education Innovation Pilot Zone Hainan International College of Minzu University of China Hainan Beijing China

ISBN: (纸本)9789819615278

Proof of Data Possession is a technique for ensuring the integrity of data stored in cloud storage. However, most audit schemes assume only one role for data owners, which is not suitable for complex Smart Healthcare Network with multiple roles. In such schemes addressing the risk of third-party auditors (TPA) colluding with other entities, blockchain is typically employed. However, this necessitates extensive computation, resulting in unacceptably high energy consumption and prolonged verification times. In this paper, we propose a Proof of Data Possession scheme tailored for medical network environments, which incorporates protocols designed for both healthcare professionals and patients, considering the diverse roles that generate data within medical network applications and the varying performance of the devices they use. During the generation of metadata for verification, the protocol incorporates the varying security risk levels associated with medical data. For subsequent metadata selection, an audit block extraction strategy based on strange attractors is employed, effectively mitigating the risk of collusion by third-party TPA, thereby enhancing the security and efficiency of the scheme. Additionally, we conducted experimental analysis and comparisons, demonstrating higher security and practical applicability. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data integrity

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Proceedings - 2022 24th international symposium on Symbolic and Numeric algorithms for Scientific Computing, SYNASC 2022

Proceedings - 2022 24th International Symposium on Symbolic ...

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24th international symposium on Symbolic and Numeric algorithms for Scientific Computing, SYNASC 2022

ISBN: (纸本)9781665465458

the proceedings contain 59 papers. the topics discussed include: prescriptive analytics: when data- and simulation-based models interact in a cooperative way;complex network analysis using artificial intelligence algorithms;implementation techniques for mathematical model checking;extreme points of the unit ball B4 in the space of real polynomials of degree at most four with the supremum norm;homotopy techniques for analytic combinatorics in several variables;balanced dense multivariate multiplication: the general case;detecting implicit indeterminates in symbolic computation;artificial conflict sampling for real satisfiability problems;a web version of Tarski, a system for computing with Tarski formulas and semialgebraic sets;algorithm for intersecting symbolic and approximate linear differential varieties;fully-adaptive model for broadcasting with universal lists;proof of useful work based on matrix computation;evaluation of class activation methods for understanding image classification tasks;and exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification.

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Exploratory Data Analysis of NFL Player Performance and Impact of Age on Speed and Acceleration

Exploratory Data Analysis of NFL Player Performance and Impa...

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international symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Mirza Krupić Lejla Breščić Nedim Bandžović Amila Čaušević Zerina Altoka Department of Information Technology International Burch University Sarajevo Bosnia and Herzegovina

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

this study examines the role of speed and agility in shaping player performance and game strategies in American football. By investigating the relationship between speed, acceleration, and age, the study uncovers trends that shed light on what makes players effective on the field. A comprehensive data analysis process, including preprocessing, feature extraction, and normalization, ensures a robust examination of these relationships. the findings highlight the complex dynamics between physical attributes and age, revealing insights into player development and performance dynamics. While offering valuable insights, the study also emphasizes the need for further investigation to account for outliers and refine the understanding of these critical performance factors. this study lays a solid foundation for improving how we evaluate and predict player potential, making a valuable contribution to performance analysis in football.

关键词： Data analysis Accelerated aging Predictive models Solids Prediction algorithms Time measurement Real-time systems Biomedical monitoring Predictive analytics Sports

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Strategic Energy Storage Allocation In Distribution Network For Energy Cost Reduction And Voltage Profile Improvement

Strategic Energy Storage Allocation In Distribution Network ...

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international symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Mirza Šarić Jasna Hivziefendić Tatjana Konjić Tihana Mustafić Faculty of Electrical and Electronics Engineering International Burch University Sarajevo Bosnia and Herzegovina Faculty of Electrical and Electronics Engineering University of Tuzla Tuzla Bosnia and Herzegovina

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

the integration of renewable energy sources (RES) and battery energy storage systems (BESS) into electrical power distribution systems (EPDS) is growing rapidly, but presents challenges like increased energy losses, voltage deterioration, and rising costs. this paper proposes a multi-objective optimization framework for optimal BESS allocation in EPDS to reduce costs and improve voltage profiles. Using a genetic algorithm, Non-dominated Sorting Genetic Algorithm III (NSGA-III), it balances objectives while considering system and battery constraints. Python’s Pandapower and DEAP (Distributed Evolutionary algorithms in Python) libraries are used for power flow analysis and optimization. the model is validated on a medium-voltage radial network with high renewable energy sources (RES) penetration, showing significant showing significant gains in network performance and highlight the potential for battery energy storage systems (BESS) to become standard components in modern power systems.

关键词： Renewable energy sources Energy loss Costs Battery energy storage system Voltage Power system stability Batteries Resource management Optimization Standards

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