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Journal articles on the topic 'Algorithmic Number Generation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Wang, Chao, Shuang Wang, Wei Chen, Zhen-Qiang Yin, and Zheng-Fu Han. "Analysis of entropy extraction efficiencies in random number generation systems." International Journal of Quantum Information 14, no. 01 (2016): 1630001. http://dx.doi.org/10.1142/s0219749916300011.

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Random numbers (RNs) have applications in many areas: lottery games, gambling, computer simulation, and, most importantly, cryptography [N. Gisin et al., Rev. Mod. Phys. 74 (2002) 145]. In cryptography theory, the theoretical security of the system calls for high quality RNs. Therefore, developing methods for producing unpredictable RNs with adequate speed is an attractive topic. Early on, despite the lack of theoretical support, pseudo RNs generated by algorithmic methods performed well and satisfied reasonable statistical requirements. However, as implemented, those pseudorandom sequences we

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Storcz, Tamás, Zsolt Ercsey, Kristóf Roland Horváth, Zoltán Kovács, Balázs Dávid, and István Kistelegdi. "Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations." Energies 16, no. 5 (2023): 2254. http://dx.doi.org/10.3390/en16052254.

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The building industry is responsible for a significant degree of energy consumption in the world, causing negative climate changes and energy supply uncertainties due to low energy efficiency as well as the high resource demand of construction. Consequently, energy design optimization has become an important research field. Passive design strategies are one of the most definitive factors concerning energy-related building development. The given architectural problem calls for a method that can create all potentially feasible building geometries, thus guaranteeing the optimal solution which is

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Storcz, Tamás, Zsolt Ercsey, Kristóf Roland Horváth, Zoltán Kovács, Balázs Dávid, and István Kistelegdi. "Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations." Energies 16, no. 5 (2023): 17. https://doi.org/10.3390/en16052254.

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The building industry is responsible for a significant degree of energy consumption in the world, causing negative climate changes and energy supply uncertainties due to low energy efficiency as well as the high resource demand of construction. Consequently, energy design optimization has become an important research field. Passive design strategies are one of the most definitive factors concerning energy-related building development. The given architectural problem calls for a method that can create all potentially feasible building geometries, thus guaranteeing the optimal solution which is

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Inyutin, S. A. "General Approach to the Description of Computer Number Systems." Informacionnye Tehnologii 28, no. 4 (2022): 178–84. http://dx.doi.org/10.17587/it.28.178-184.

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General relationships, algorithms, and differences for three numerical systems used in the field of computing technology are analyzed: positional, polyadic and modular. Their power-law modifications are obtained. A single basic algorithm for the formation of components of vectors representing numerical values in these systems, which are residues in relatively simple modules from the set of bases of a numerical system, is analyzed with an estimate of complexity. Vector representation of numerical values is a mathematical and algorithmic basis for generating arithmetic computer formats focused o

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Avram, Florin, Rim Adenane, Lasko Basnarkov, and Matthew D. Johnston. "Algorithmic Approach for a Unique Definition of the Next-Generation Matrix." Mathematics 12, no. 1 (2023): 27. http://dx.doi.org/10.3390/math12010027.

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The basic reproduction number R0 is a concept which originated in population dynamics, mathematical epidemiology, and ecology and is closely related to the mean number of children in branching processes (reflecting the fact that the phenomena of interest are well approximated via branching processes, at their inception). Despite the very extensive literature around R0 for deterministic epidemic models, we believe there are still aspects which are not fully understood. Foremost is the fact that R0 is not a function of the original ODE model, unless we also include in it a certain (F,V) gradient

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Park, Suyoun, and Sung Ha Park. "Demonstration of Big Bang-like patterns through logic-implemented DNA algorithmic assembly." AIP Advances 12, no. 7 (2022): 075213. http://dx.doi.org/10.1063/5.0093198.

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A DNA algorithm-based logic gate provides an efficient platform for generating various patterns through self-assembly. Self-assembly algorithms using M-input N-output logic gates are easily implemented in DNA tiles. The patterns generated by a 3-input 1-output logic gate show interesting features, such as demonstrations of mathematical functions, physical phenomena observed in nature, and logic operators. We notice that among the 3-input 1-output logic rules, the algorithmic lattices generated by R30 show interesting Big Bang-like patterns. A pattern generated by R30 and specific initial value

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G, Anahita, Krishnapriya KPM, Shiva Prasad R, and Mohan Kumar N. "HD-Sign: Hardware Based Digital Signature Generation Using True Random Number Generator." International Journal of Engineering & Technology 7, no. 3.8 (2018): 147. http://dx.doi.org/10.14419/ijet.v7i3.8.16850.

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With the recent advancements in the field of computing, a fair share of easier and safer practices to exchange and share information between multiple parties have propped up. While some of these are improvisations, a few such as the Digital Signatures, have fast replaced conventional signing practices. It’s wide use and acceptance in the industry as well as officially, has necessitated higher security to protect data integrity and privacy. These digital Signatures are generated on the basis of various schemes that are designed to accommodate efficiency, crypto security and algorithmic complexi

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Nam, Hyoungwook, Segwang Kim, and Kyomin Jung. "Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4626–33. http://dx.doi.org/10.1609/aaai.v33i01.33014626.

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Inspired by number series tests to measure human intelligence, we suggest number sequence prediction tasks to assess neural network models’ computational powers for solving algorithmic problems. We define the complexity and difficulty of a number sequence prediction task with the structure of the smallest automaton that can generate the sequence. We suggest two types of number sequence prediction problems: the number-level and the digit-level problems. The number-level problems format sequences as 2-dimensional grids of digits and the digit-level problems provide a single digit input per a tim

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Howard, David, Jack Collins, and Nicole Robinson. "Taking Shape: A Perspective on the Future of Embodied Cognition and a new Generation of Evolutionary Robotics." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012018. http://dx.doi.org/10.1088/1757-899x/1261/1/012018.

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Abstract The philosophy of Embodied Cognition (EC) presents an intuitive lens with which to consider a variety of problems that attempt to optimise or refine some physically-grounded combination of form and function. Conceptualised as a Venn diagram, with circles of 'body', 'brain', and 'environment', the prevailing notion is that moving to the centre of the diagram is the ultimate goal - intertwining and leveraging all three components to generate adaptive solutions. Philosophically, at least, this makes sense: nature abounds with examples of life that extol the virtues of tightly-coupled emb

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BERTHÉ, VALÉRIE, JÉRÉMIE BOURDON, TIMO JOLIVET, and ANNE SIEGEL. "A combinatorial approach to products of Pisot substitutions." Ergodic Theory and Dynamical Systems 36, no. 6 (2015): 1757–94. http://dx.doi.org/10.1017/etds.2014.141.

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We define a generic algorithmic framework to prove a pure discrete spectrum for the substitutive symbolic dynamical systems associated with some infinite families of Pisot substitutions. We focus on the families obtained as finite products of the three-letter substitutions associated with the multidimensional continued fraction algorithms of Brun and Jacobi–Perron. Our tools consist in a reformulation of some combinatorial criteria (coincidence conditions), in terms of properties of discrete plane generation using multidimensional (dual) substitutions. We also deduce some topological and dynam

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Alistarh, Dan. "Distributed Computing Column 87 Distributed and Algorithmic Thinking across Domains." ACM SIGACT News 55, no. 2 (2024): 89–101. http://dx.doi.org/10.1145/3674159.3674166.

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Overview. One of the goals of the column is to stimulate and publicise results by the younger generation of Distributed Computing researchers. In this spirit, this month we go into more depth into one of the two theses highlighted by the Doctoral Dissertation Award, by Dr. Siddartha Jayanti. (Unfortunately, the other 2023 recipient, Dr. Dean Leitersdorf, could not contribute this time, due to outside constraints.) Dr. Siddartha Jayanti's thesis comprises novel results in the scope of distributed and concurrent synchronization. The thesis, and Siddartha's work in general, is remarkable for both

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Logunleko, Kolawole Bariu. "DEVELOPMENT OF THE RESIDUE NUMBER SYSTEM-BASESIXTY-FOUR (RNS-B64) ENCRYPTION ALGORITHM FOR SECURE DATA TRANSMISSION." international journal of advanced research in computer science 16, no. 2 (2025): 108–15. https://doi.org/10.26483/ijarcs.v16i2.7205.

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: Over the years, the Base64 cryptographic algorithm has been a crucial component of information security employed in various security protocols and applications including digital signature schemes, random number generation and Message Authentication Codes, to guarantee data integrity and authenticate the origin of data. However, research has identified security vulnerabilities in the algorithm due to its non-availability of key. The research aimed to develop a novel cryptosystem that uses Residue Number System (RNS) to enhance the Base64 (B64) algorithm's performance alongside with the effici

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Döbereiner, Luc. "Between the Abstract and the Concrete: A Constraint-Based Approach to Navigating Instrumental Space." Computer Music Journal 43, no. 1 (2020): 8–20. http://dx.doi.org/10.1162/comj_a_00497.

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This article deals with a way that algorithmic composition systems can be informed by material realities of musical performance. After a general discussion of the relation of abstract algorithms to concrete materiality, the article focuses on the idea of an instrument's space of possibilities. It briefly discusses a number of compositional approaches that seek to derive musical structure from bodily movements and from the physical properties of instruments. The last part describes a new open-source JavaScript library called OboeJS and a Web application based on this library. The system is an e

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Sitzenfrei, R., S. Fach, H. Kinzel, and W. Rauch. "A multi-layer cellular automata approach for algorithmic generation of virtual case studies: VIBe." Water Science and Technology 61, no. 1 (2010): 37–45. http://dx.doi.org/10.2166/wst.2010.782.

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Analyses of case studies are used to evaluate new or existing technologies, measures or strategies with regard to their impact on the overall process. However, data availability is limited and hence, new technologies, measures or strategies can only be tested on a limited number of case studies. Owing to the specific boundary conditions and system properties of each single case study, results can hardly be generalized or transferred to other boundary conditions. virtual infrastructure benchmarking (VIBe) is a software tool which algorithmically generates virtual case studies (VCSs) for urban w

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NATALIIA, Vozna, and Makogin VOLODYMYR. "THEORETICAL FUNDAMENTALS OF STRUCTURING THE METHODS OF SPECTRAL ANALYSIS IN DIFFERENT NUMBER SYSTEMS." Herald of Khmelnytskyi National University 305, no. 1 (2022): 168–74. http://dx.doi.org/10.31891/2307-5732-2022-305-1-168-174.

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This paper deals with solving the scientific problem of developing the theory and methodology of spectral analysis of the processes of generation, conversion, transmission, digital processing and presentation of information based on mathematical principles in various number systems. Theoretical foundations of data structuring in the processes of generation, conversion, transmission, digital processing and presentation of information based on mathematical principles of different code systems make the study of spectral analysis in this area a promising task, as almost all fields of modern civili

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Kostrikov, Sergiy, Rostyslav Pudlo, Dmytro Bubnov, and Vladimir Vasiliev. "ELiT, Multifunctional Web-Software for Feature Extraction from 3D LiDAR Point Clouds." ISPRS International Journal of Geo-Information 9, no. 11 (2020): 650. http://dx.doi.org/10.3390/ijgi9110650.

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Our research presents a complete R&D cycle—from the urban terrain generation and feature extraction by raw LiDAR data processing, through visualizing a huge number of urban features, and till applied thematic use cases based on these features extracted and modeled. Firstly, the paper focuses on the original contribution to algorithmic solutions concerning the fully automated extraction of building models with the urban terrain generation. Topography modeling and extraction of buildings, as two key constituents of the robust algorithmic pipeline, have been examined. The architectural scheme

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Stanevičienė, Evelina, Alfonsas Misevičius, and Armantas Ostreika. "Experimental Analysis of Hybrid Genetic Algorithm for the Grey Pattern Quadratic Assignment Problem." Information Technology And Control 48, no. 2 (2019): 335–56. http://dx.doi.org/10.5755/j01.itc.48.2.23114.

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In this paper, we present the results of the extensive computational experiments with the hybrid genetic algorithm (HGA) for solving the grey pattern quadratic assignment problem (GP-QAP). The experiments are on the basis of the component-based methodology where the important algorithmic ingredients (features) of HGA are chosen and carefully examined. The following components were investigated: initial population, selection of parents, crossover procedures, number of offspring per generation, local improvement, replacement of population, population restart). The obtained results of the conduct

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Wang, Shiqian, Wuqi Gao, and Songhan Wang. "Research on Machine Learning Program Generation Algorithm Based on AORBCO." International Journal of Advanced Network, Monitoring and Controls 9, no. 2 (2024): 23–36. http://dx.doi.org/10.2478/ijanmc-2024-0013.

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Abstract The design and development of machine learning programs require selecting appropriate data and algorithms, and coding and debugging based on specific task requirements and the programming experience of developers. However, the current knowledge structure in the field of machine learning is relatively complex, lacking systematic organization, and developers often face the problem of lack of experience when choosing algorithms and designing programs, resulting in a long development cycle and easy errors in machine learning programs. In response to the above issues, this article proposes

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Grieco, Antonio, Pierpaolo Caricato, and Paolo Margiotta. "Algorithmic Advances for 1.5-Dimensional Two-Stage Cutting Stock Problem." Algorithms 18, no. 1 (2024): 3. https://doi.org/10.3390/a18010003.

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The Cutting Stock Problem (CSP) is an optimization challenge that involves dividing large objects into smaller components while considering various managerial objectives. The problem’s complexity can differ based on factors such as object dimensionality, the number of cutting stages required, and any technological constraints. The demand for coils of varying sizes and quantities necessitates intermediate splitting and slitting stages to produce the finished rolls. Additionally, relationships between orders are affected by dimensional variations at each stage of processing. This specific varian

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Sitzenfrei, R., S. Fach, M. Kleidorfer, C. Urich, and W. Rauch. "Dynamic virtual infrastructure benchmarking: DynaVIBe." Water Supply 10, no. 4 (2010): 600–609. http://dx.doi.org/10.2166/ws.2010.188.

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In environmental engineering, identification of problems and their solutions as well as the identification of the relevant processes involved is often done by means of case study analyses. By researching the operation of urban drainage and water distribution systems, this methodology is suited to evaluate new technologies, strategies or measures with regard to their impact on the overall processes. However, data availability is often limited and data collection and the development of new models are both costly and time consuming. Hence, new technologies, strategies or measures can only be test

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Lam, Michelle S., Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, and Michael S. Bernstein. "End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (2022): 1–34. http://dx.doi.org/10.1145/3555625.

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Because algorithm audits are conducted by technical experts, audits are necessarily limited to the hypotheses that experts think to test. End users hold the promise to expand this purview, as they inhabit spaces and witness algorithmic impacts that auditors do not. In pursuit of this goal, we propose end-user audits-system-scale audits led by non-technical users-and present an approach that scaffolds end users in hypothesis generation, evidence identification, and results communication. Today, performing a system-scale audit requires substantial user effort to label thousands of system outputs

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Eigel, Martin, and Daniel Peterseim. "Simulation of Composite Materials by a Network FEM with Error Control." Computational Methods in Applied Mathematics 15, no. 1 (2015): 21–37. http://dx.doi.org/10.1515/cmam-2014-0027.

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AbstractA novel finite element method (FEM) for the computational simulation in particle reinforced composite materials with many inclusions is presented. It is based on a specially designed mesh consisting of triangles and channel-like connections between inclusions which form a network structure. The total number of elements and, hence, the number of degrees of freedom are proportional to the number of inclusions. The error of the method is independent of the possibly tiny distances of neighboring inclusions. We present algorithmic details for the generation of the problem-adapted mesh and d

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Ivanov, E. G., H. Andrä, and A. N. Kudryavtsev. "Domain Decomposition Approach for Automatic Parallel Generation of Tetrahedral Grids." Computational Methods in Applied Mathematics 6, no. 2 (2006): 178–93. http://dx.doi.org/10.2478/cmam-2006-0009.

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AbstractThe desire to simulate even more geometrical and physical features of technical structures and the availability of parallel computers and parallel numerical solvers which can exploit the power of these machines have led to a steady increase in the number of the grid elements used. Memory requirements and computational time are too large for usual serial PCs. An a priori partitioning algorithm for the parallel generation of 3D non-overlapping compatible unstructured meshes based on a CAD surface description is presented in this paper. Emphasis is placed on practical issues and implement

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Martynenko, Sergey I., and Aleksey Yu Varaksin. "Black-Box Solver for Numerical Simulations and Mathematical Modelling in Engineering Physics." Mathematics 11, no. 16 (2023): 3442. http://dx.doi.org/10.3390/math11163442.

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This article presents a two-grid approach for developing a black-box iterative solver for a large class of real-life problems in continuum mechanics (heat and mass transfer, fluid dynamics, elasticity, electromagnetism, and others). The main requirements on this (non-)linear black-box solver are: (1) robustness (the lowest number of problem-dependent components), (2) efficiency (close-to-optimal algorithmic complexity), and (3) parallelism (a parallel robust algorithm should be faster than the fastest sequential one). The basic idea is to use the auxiliary structured grid for more computationa

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Prathap, Dr K., Ch Anitha, and N. Mounika. "BLACK-BOX SOLVER FOR NUMERICAL SIMULATIONS AND MATHEMATICAL MODELLING IN ENGINEERING PHYSICS." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 3 (2018): 1275–93. http://dx.doi.org/10.61841/turcomat.v9i3.14458.

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This article presents a two-grid approach for developing a black-box iterative solver for a large class of real-life problems in continuum mechanics (heat and mass transfer, fluid dynamics, elasticity, electromagnetism, and others). The main requirements on this (non-)linear blackbox solver are: (1) robustness (the lowest number of problem-dependent components), (2) efficiency (close-tooptimal algorithmic complexity), and (3) parallelism (a parallel robust algorithm should be faster than the fastest sequential one). The basic idea is to use the auxiliary structured grid for more computational

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Yang, Lihong, Hang Ge, Zhiqiang Yang, et al. "Research on Rapid and Accurate 3D Reconstruction Algorithms Based on Multi-View Images." Applied Sciences 15, no. 8 (2025): 4088. https://doi.org/10.3390/app15084088.

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Three-dimensional reconstruction entails the development of mathematical models of three-dimensional objects that are suitable for computational representation and processing. This technique constructs realistic 3D models of images and has significant practical applications across various fields. This study proposes a rapid and precise multi-view 3D reconstruction method to address the challenges of low reconstruction efficiency and inadequate, poor-quality point cloud generation in incremental structure-from-motion (SFM) algorithms in multi-view geometry. The methodology involves capturing a

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Korablev, Yuriy A. "ALGORITHM FOR AUTOMATIC ENUMERATION OF ARBITRARY MODELS OF THE FORMATION PROCESS OF RARE EVENTS IN THE ECONOMY." SOFT MEASUREMENTS AND COMPUTING 9, no. 58 (2022): 62–88. http://dx.doi.org/10.36871/2618-9976.2022.09.006.

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An algorithm for automatic selection of the formation rare events process is described, which can be represented by an arbitrary algorithmic model. Events are studied not only from a statistical point of view, but from the point of view of the processes that generate them. The event generation process can use internal variables and parameters. The ultimate goal is to define process parameters and the process itself. The process selection algorithm consists of two parts, at the beginning a scheme of operators is formed, then for a given scheme, operands and the type of arithmetic operation are

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Shen, Yong, Jiaxuan Liang, Hongwei Kang, Xingping Sun, and Qingyi Chen. "NLAPSMjSO-EDA: A Nonlinear Shrinking Population Strategy Algorithm for Elite Group Exploration with Symmetry Applications." Symmetry 17, no. 2 (2025): 153. https://doi.org/10.3390/sym17020153.

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This work effectively modifies APSM-jSO (a novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism) to offer a new jSO (single objective real-parameter optimization: Algorithm jSO) version called NLAPSMjSO-EDA. There are three main distinctions between NLAPSMjSO-EDA and APSM-jSO. Firstly, in the linear population reduction strategy, the number of individuals eliminated in each generation is insufficient. This results in a higher number of inferior individuals remaining, and since the total number of iterations is fixed, these inferior indi

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Klekovkin, E. "ALGORITHMIC DESIGN OF LOAD-BEARING STRUCTURES OF INDUSTRIAL BUILDINGS USING VISUAL PROGRAMMING." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 10, no. 4 (2025): 56–68. https://doi.org/10.34031/2071-7318-2025-10-4-56-68.

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The process of designing load-bearing structures using information modelling is analysed. High labour intensity of variant elaboration, complexity of data transfer between information and structural models of load-bearing structures, non-perfection of existing tools for converting information models into structural models and vice versa are noted. The use of visual programming for creation of scripts automating information and analytical modelling in CAD is suggested. The possibilities of visual programming for forming scripts of automated modelling of load-bearing structures are considered. T

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McKnight, Matthew. "Generative Design: What it is? How is it being used? Why it’s a game changer." KnE Engineering 2, no. 2 (2017): 176. http://dx.doi.org/10.18502/keg.v2i2.612.

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<p>This paper represents a snapshot of generative design technology looking at what it is, how it works, how it’s being used and why it’s changing the way we design the next generation of things.</p><p>Predominantly companies investing in this technology are looking for ways to help reduce component mass, improve the performance of their designs, minimize manufacturing process time and help them create new products that are suited to the next generation of customer who’s concerned more than ever with customization and uniqueness.</p><p>Through the course of this p

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Belhadj, Salima, Abdelmounaim Moulay Lakhdar, and Ridha Ilyas Bendjillali. "Performance comparison of channel coding schemes for 5G massive machine type communications." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (2021): 902–8. https://doi.org/10.11591/ijeecs.v22.i2.pp902-908.

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Channel coding for the fifth generation (5G) mobile communication is currently facing new challenges as it needs to uphold diverse emerging applications and scenarios. Massive machine-type communication (mMTC) constitute one of the main usage scenarios in 5G systems, which promise to provide low data rate services to a large number of low power and low complexity devices. Research on efficient coding schemes for such use case is still ongoing and no decision has been made yet. Therefore, This paper compares the performance of different coding schemes, namely: tail-biting convolutional code (TB

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Elahi, Muhammad Nouman, Safdar Raza, Faisal Maqsood, and Muhammad Zeeshan. "Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation." Pakistan Journal of Engineering and Technology 3, no. 2 (2020): 59–72. http://dx.doi.org/10.51846/vol3iss2pp59-72.

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Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the country's GDP, a large figure of $1.8 billion is lost every year due to line losses in power generation, transmission, distribution and consumption. In distribution systems, researchers are attracted by the penetration of distributed generation (DG) nowadays. The performance of a distribution network is affected by the significant role of number, capacity and situation of DG units. This study will focus on the distributed generation of a centralized national grid and provide an algorithmic model t

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Ndegwa, Duncan, Loyford Njagi, Stephen Luketero, Benard Nzimbi, and Kikwai Benjamin. "Recursive Partitioning of Odd Integers into Primes and Semiprimes: A Novel Framework Toward Validating Lemoine’s Conjecture." IOSR Journal of Mathematics 21, no. 3 (2025): 36–43. https://doi.org/10.9790/0661-2103033643.

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This paper introduces a novel Recursive Partitioning Framework that builds upon additive number theory, with specific application to Lemoine's Conjecture, which asserts that every odd integer greater than 5 can be expressed as the sum of a prime and a semiprime. Inspired by recent developments in algorithmic formulations of Goldbachtype conjectures, we adapt the framework proposed by Sankei et al. (2023), originally used to partition even integers via expressions of the form; 𝐸 = (𝑃1 + 𝑃2 )+ (𝑃2 −𝑃1 ) 𝑛 with 𝑃1 , 𝑃2 ∈ ℙ, 𝑃2 > 𝑃1 , and 𝑛 ∈ ℕ, to develop a systematic method for generating and

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Gruen, A., S. Schubiger, R. Qin, et al. "SEMANTICALLY ENRICHED HIGH RESOLUTION LOD 3 BUILDING MODEL GENERATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W15 (September 23, 2019): 11–18. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w15-11-2019.

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<p><strong>Abstract.</strong> This paper reports about an effort to generate LoD3 models of buildings semi-automatically, with the highest possible level of automation. It is work in progress. We use multi-sensor data like aerial images from a 5-head camera with a GSD of 10&amp;thinsp;cm, UAV images, and aerial and mobile LiDAR point clouds. We distinguish two cases: LoD2 models are available and they are not. We apply Multi-Photo Geometrically Constrained Least Squares Matching for different kind of point measurements. The regularity of many building fa&amp;ccedil;ad

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Arenas, Marcelo, Luis Alberto Croquevielle, Rajesh Jayaram, and Cristian Riveros. "#NFA Admits an FPRAS: Efficient Enumeration, Counting, and Uniform Generation for Logspace Classes." Journal of the ACM 68, no. 6 (2021): 1–40. http://dx.doi.org/10.1145/3477045.

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In this work, we study two simple yet general complexity classes, based on logspace Turing machines, that provide a unifying framework for efficient query evaluation in areas such as information extraction and graph databases, among others. We investigate the complexity of three fundamental algorithmic problems for these classes: enumeration, counting, and uniform generation of solutions, and show that they have several desirable properties in this respect. Both complexity classes are defined in terms of non-deterministic logspace transducers (NL-transducers). For the first class, we consider

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Pekunov, Vladimir Viktorovich. "Elements of XPath-like languages in problems of constructing semantic XML models of natural language texts." Кибернетика и программирование, no. 1 (January 2020): 29–41. http://dx.doi.org/10.25136/2644-5522.2020.1.32143.

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The subject of the research is the possibility of using XPath-like micro-languages of programming in the generation systems of programs of the PGEN ++ class for the selection and completion of XML-models describing the plan for solving the original problem, according to which the solver program is generated. It is supposed to build such models according to the description of the problem in natural language, thus, we are talking about elements of artificial intelligence technologies. XPath-like language works in the layer of regular-logical expressions (highlighting elements of the primary XML

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Ciliberto, Carlo, Mark Herbster, Alessandro Davide Ialongo, et al. "Quantum machine learning: a classical perspective." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2209 (2018): 20170551. http://dx.doi.org/10.1098/rspa.2017.0551.

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Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning (ML) techniques to impressive results in regression, classification, data generation and reinforcement learning tasks. Despite these successes, the proximity to the physical limits of chip fabrication alongside the increasing size of datasets is motivating a growing number of researchers to explore the possibility of harnessing the power of quantum computation to speed up classical ML algorithms. Here we review the literature in quantum ML and discuss perspectives for a mix

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Belhadj, Salima, Abdelmounaim Moulay Lakhdar, and Ridha Ilyas Bendjillali. "Performance comparison of channel coding schemes for 5G massive machine type communications." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (2021): 902. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp902-908.

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<p><span>Channel coding for the fifth generation (5G) mobile communication is currently facing new challenges as it needs to uphold diverse emerging applications and scenarios. Massive machine-type communication (mMTC) constitute one of the main usage scenarios in 5G systems, which promise to provide low data rate services to a large number of low power and low complexity devices. Research on efficient coding schemes for such use case is still ongoing and no decision has been made yet. Therefore, This paper compares the performance of different coding schemes, namely: tail-biting c

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Okey, Ogobuchi Daniel, Siti Sarah Maidin, Renata Lopes Rosa, et al. "Quantum Key Distribution Protocol Selector Based on Machine Learning for Next-Generation Networks." Sustainability 14, no. 23 (2022): 15901. http://dx.doi.org/10.3390/su142315901.

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In next-generation networks, including the sixth generation (6G), a large number of computing devices can communicate with ultra-low latency. By implication, 6G capabilities present a massive benefit for the Internet of Things (IoT), considering a wide range of application domains. However, some security concerns in the IoT involving authentication and encryption protocols are currently under investigation. Thus, mechanisms implementing quantum communications in IoT devices have been explored to offer improved security. Algorithmic solutions that enable better quantum key distribution (QKD) se

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Sanchez, Torreguitart Ismael, Tom Verstraete, and Lasse Mueller. "Optimization of the LS89 Axial Turbine Profile Using a CAD and Adjoint Based Approach." Int. J. Turbomachinery, Propulsion and Power 3, no. 20 (2018): 1–13. https://doi.org/10.3390/ijtpp3030020.

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The LS89 high pressure axial turbine vane was originally designed and optimized for a downstream isentropic Mach number of 0.9. This profile has been widely used for computational fluid dynamics (CFD) validation in the open literature but very few attempts have been made to improve the already optimized design. This paper presents a sound methodology to design and optimize the LS89 using computer-aided design (CAD) at design conditions. The novelty of the study resides in the parametrization of design space, which is done at the CAD level, and the detailed analysis of the aerodynamic performan

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Gibson, Perry, José Cano, Elliot Crowley, Amos Storkey, and Michael O'Boyle. "DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration." ACM Transactions on Architecture and Code Optimization 22, no. 1 (2025): 1. https://doi.org/10.1145/3688609.

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Deep Neural Networks (DNNs) are very computationally demanding, which presents a significant barrier to their deployment, especially on resource-constrained devices. Significant work from both the machine learning and computing systems communities has attempted to accelerate DNNs. However, the number of techniques available and the required domain knowledge for their exploration continue to grow, making design space exploration (DSE) increasingly difficult. To unify the perspectives from these two communities, this article introduces the Deep Learning Acceleration Stack (DLAS), a conceptual mo

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V. Vijayalakshmi. "Fast Generation of K-Secluded Vertex Sets for Fuzzy Graph Partitioning Subject to Forbidden Induced Subgraphs." Communications on Applied Nonlinear Analysis 32, no. 7s (2025): 296–304. https://doi.org/10.52783/cana.v32.3401.

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To deal with difficulties arising from partitioning the fuzzy graph and its connectivity where forbidden induced subgraphs are a raised consideration, this work introduces the concept of k-secluded vertex sets in graph theory. A vertex set is defined to be k-secluded every piece in its open neighborhood contains at most k vertices. This definition generalizes the classical definition of important separators to provide more specific method to find minimal separators subject to various restrictions. Our analysis provides evidence that proves that the quantity of connected vertex sets of cardinal

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Sanchez Torreguitart, Ismael, Tom Verstraete, and Lasse Mueller. "Optimization of the LS89 Axial Turbine Profile Using a CAD and Adjoint Based Approach †." International Journal of Turbomachinery, Propulsion and Power 3, no. 3 (2018): 20. http://dx.doi.org/10.3390/ijtpp3030020.

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The LS89 high pressure axial turbine vane was originally designed and optimized for a downstream isentropic Mach number of 0.9. This profile has been widely used for computational fluid dynamics (CFD) validation in the open literature but very few attempts have been made to improve the already optimized design. This paper presents a sound methodology to design and optimize the LS89 using computer-aided design (CAD) at design conditions. The novelty of the study resides in the parametrization of design space, which is done at the CAD level, and the detailed analysis of the aerodynamic performan

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Murtiyoso, Arnadi, Mirza Veriandi, Deni Suwardhi, Budhy Soeksmantono, and Agung Budi Harto. "Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds." ISPRS International Journal of Geo-Information 9, no. 12 (2020): 743. http://dx.doi.org/10.3390/ijgi9120743.

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Developments in UAV sensors and platforms in recent decades have stimulated an upsurge in its application for 3D mapping. The relatively low-cost nature of UAVs combined with the use of revolutionary photogrammetric algorithms, such as dense image matching, has made it a strong competitor to aerial lidar mapping. However, in the context of 3D city mapping, further 3D modeling is required to generate 3D city models which is often performed manually using, e.g., photogrammetric stereoplotting. The aim of the paper was to try to implement an algorithmic approach to building point cloud segmentati

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Braguinski, Nikita. "“428 Millions of Quadrilles for 5s. 6d.”: John Clinton's Combinatorial Music Machine." 19th-Century Music 43, no. 2 (2019): 86–98. http://dx.doi.org/10.1525/ncm.2019.43.2.86.

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Quadrilles were a popular genre of group dancing in the nineteenth century. Existing melodies were normally used to accompany the dancing sessions, but the monotony of their repetition and the cost of a professional piano player capable of improvising were an issue. Thus, the idea of a “machine” that would be able to endlessly produce quadrille music at no cost was suggesting itself. The Quadrille Melodist, a paper-based system for the generation of piano pieces, was published in nineteenth-century Victorian London by John Clinton, a “professor in the Royal Academy of Music.” Already in 1650,

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Ahmed, Moustafa, Yas Al-Hadeethi, Ahmed Bakry, Hamed Dalir, and Volker J. Sorger. "Integrated photonic FFT for photonic tensor operations towards efficient and high-speed neural networks." Nanophotonics 9, no. 13 (2020): 4097–108. http://dx.doi.org/10.1515/nanoph-2020-0055.

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AbstractThe technologically-relevant task of feature extraction from data performed in deep-learning systems is routinely accomplished as repeated fast Fourier transforms (FFT) electronically in prevalent domain-specific architectures such as in graphics processing units (GPU). However, electronics systems are limited with respect to power dissipation and delay, due to wire-charging challenges related to interconnect capacitance. Here we present a silicon photonics-based architecture for convolutional neural networks that harnesses the phase property of light to perform FFTs efficiently by exe

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Dolgikh, T. O. "THE INFLUENCE OF PARAMETRISM AND ARTIFICIAL INTELLIGENCE ON THE ARCHITECTURE OF THE FUTURE." Regional problems of architecture and urban planning, no. 18 (December 16, 2024): 154–62. https://doi.org/10.31650/2707-403x-2024-18-154-162.

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Articles, reports, studies of a number of scientists in the field of parametric design were analyzed. The work of leading architects using parametricism and the latest technologies in design, such as Zaha Hadid, Santiago Calatrava, Patrick Schumacher, and others, is highlighted. Ways to solve and implement complex spatial modeling processes thanks to parameterization and the use of artificial intelligence are determined. A number of computer programs that are active have been analyzed used in design, creation of virtual reality, and 3D simulations. The methods of using software tools that invo

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Yang, Hongliu, Duo Zhang, Xusheng Zhang, et al. "From Spatial Domain to Temporal Domain: Unleashing the Capability of CFAR for mmWave Point Cloud Generation." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, no. 2 (2025): 1–29. https://doi.org/10.1145/3729465.

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Point clouds are a crucial data type for mmWave radar and are widely used in sensing applications such as human tracking and activity recognition. However, for indoor human sensing, the point clouds obtained by mmWave radar are often sparse. Previous studies attribute the sparsity to the limited sensing capabilities of mmWave radar, underestimating the impact of CFAR---a key algorithmic component of mmWave systems---on point cloud quality. Through empirical studies, we find that the spatial-based CFAR widely used in existing works suffers from a severe energy masking issue. This is because the

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Lu, Yijun, Wei Wu, Xuechuan Geng, Yanchen Liu, Hao Zheng, and Miaomiao Hou. "Multi-Objective Optimization of Building Environmental Performance: An Integrated Parametric Design Method Based on Machine Learning Approaches." Energies 15, no. 19 (2022): 7031. http://dx.doi.org/10.3390/en15197031.

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Reducing energy consumption while providing a high-quality environment for building occupants has become an important target worthy of consideration in the pre-design stage. A reasonable design can achieve both better performance and energy conservation. Parametric design tools show potential to integrate performance simulation and control elements into the early design stage. The large number of design scheme iterations, however, increases the computational load and simulation time, hampering the search for optimized solutions. This paper proposes an integration of parametric design and optim

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Miao, Yufan, Reinhard Koenig, Katja Knecht, Kateryna Konieva, Peter Buš, and Mei-Chih Chang. "Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town." International Journal of Architectural Computing 16, no. 3 (2018): 212–26. http://dx.doi.org/10.1177/1478077118798395.

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This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally

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