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Proceedings - 37th international conference on logic programming (Technical Communications), iclp 2021

Proceedings - 37th International Conference on Logic Program...

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37th international conference on logic programming (Technical Communications), iclp 2021

The proceedings contain 37 papers. The topics discussed include: answering questions using neural knowledge representations;logic-based formulation of ethical principles;structural characterizations of rule-based languages;combining probability and first-order logic;why datalog?;datalog perspectives;the downs and ups of datalog;no logic is an island: internal and external integration of logic programming paradigms;MentorLP — mentoring workshop on logic programming;a logic program transformation for strongly persistent forgetting;and syntactic requirements for well-defined hybrid probabilistic logic programs.

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Introducing programming Concepts through Interactive Online workshops 21

Introducing Programming Concepts through Interactive Online ...

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22nd ACM Annual conference on Information Technology Education, SIGITE 2021

作者： Mosquera Reina, Valentina Cunico, Ryan Williams, Josiah Bauer, Matthew Doloc-Mihu, Anca Robertson, Cindy Georgia Gwinnett College LawrencevilleGA United States

ISBN: (纸本)9781450383554

Students from the Technology Ambassadors Program (TAP) at Georgia Gwinnett College introduce basic programming concepts to online workshop participants by demonstrating and creating an interactive racing game using the Scratch programming language. The workshop encourages interest in the STEM fields, while teaching basic programming skills to control the game's logic. Our study results showed that our workshops were successful and engaging. © 2021 Owner/Author.

关键词： Students

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An Optimal Sensor Deployment Technique for Spectrum Monitoring Applications

An Optimal Sensor Deployment Technique for Spectrum Monitori...

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IEEE international conference on Communications (ICC)

作者： Zhou, Yifeng Commun Res Ctr Ottawa ON Canada

ISBN: (纸本)9781728194417

Spectrum monitoring is a key element of spectrum management process, in which spectrum sensors are considered the most crucial component. In this paper, we discuss the problem of optimal sensor deployment for spectrum monitoring applications. Optimal sensor deployment can significantly reduce the cost of sensor deployment and improve spectrum monitoring performance and efficiency. An optimal sensor deployment technique is developed, which provides the minimized number of sensors required, as well as their locations of deployment, for monitoring transmissions by desired stations in an area of interest. The problem of optimal sensor deployment is formulated using binary linear integer programming that is solved using efficient numerical optimization algorithms. The technique is scalable in the sense that it considers the effects of pre-installed or existing spectrum sensors in the area. Finally, we apply the technique to an Ottawa area for deploying sensor to monitor all down-link transmissions in the 800 MHz Land Mobile Radio (LMR) band to demonstrate its effectiveness and performance.

关键词： spectrum management spectrum monitoring spectrum sensing spectrum sharing Citizens Broadband Radio Service (CBRS) Land Mobile Radio (LMR) optimal sensor deployment binary linear integer programming (BLIP)

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DPU Offloading programming with the OpenMP API

DPU Offloading Programming with the OpenMP API

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2023 international conference on High Performance Computing, Network, Storage, and Analysis, SC workshops 2023

作者： Usman, Muhammad Iserte, Sergio Ferrer, Roger Peña, Antonio José Spain

ISBN: (纸本)9798400707858

Data processing units (DPUs) as network co-processors are an emerging trend in our community, with plenty of opportunities yet to be explored. These have been generally used as domain-specific accelerators transparent to application developers;In the HPC field, DPUs have been used as MPI accelerators, but also to offload some tasks from the general-purpose processor. However, the latter required application developers to deploy MPI ranks in the DPUs, as if they were remote (weak) compute nodes, hence considerably hindering programmability. The wide adoption of OpenMP as the threading model in the HPC arena, along with that of GPU accelerators, is making OpenMP offloading to GPUs a wide trend for HPC applications. In this paper we introduce, for the first time in the literature, OpenMP offloading support for network co-processor DPUs. We present our design in LLVM to support OpenMP standard offloading semantics and discuss the programming productivity advantages with respect to the existing MPI-based programming model. We also provide the corresponding performance analysis demonstrating competitive results in comparison with the MPI baseline. © 2023 ACM.

关键词： Semantics

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Using Genetic programming and Linear Regression for Academic Performance Analysis 23rd

Using Genetic Programming and Linear Regression for Academic...

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23rd international conference on Artificial Intelligence in Education (AIED)

作者： Esmeraldo, Guilherme Feitosa, Robson Mendes, Cicero Samuel Oliveira, Cicero Carlos Junior, Esdras Bispo de Sousa, Allan Carlos Campos, Gustavo Fed Inst Ceara Crato Ceara Brazil Univ Fed Pernambuco Recife PE Brazil Fed Univ Jatai Jatai Go Brazil Univ Estadual Ceara Fortaleza Ceara Brazil

ISBN: (纸本)9783031116476;9783031116469

The academic evaluation process, even today, is the subject of much discussion. This process can use quantitative analysis to indicate the level of learning of students to support the decision about whether the student can attend the next curriculum phase. From this context, this paper analyzes the history of students' grades in the 1st year of a technical course in informatics integrated to high school, for the years 2020 and 2021, through the linear regression method, supported by genetic programming, to find out the influence of the grades of the first two bimesters concerning the final grade. The main results show that the genetic programming algorithm favored the search for linear regression models with a good fit to the datasets with students' data. The resultant models proved accurate and explained more than 74% of the datasets.

关键词： Academic performance analysis Linear regression Genetic programming

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Probabilistic defeasible logic programming: Towards explainable and tractable query answering 37

Probabilistic defeasible logic programming: Towards explaina...

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37th international conference on logic programming (Technical Communications), iclp 2021

作者： Leiva, Mario A. García, Alejandro J. Shakarian, Paulo Simari, Gerardo I. Bahia Blanca Argentina Cyber Reconnaissance Inc. TempeAZ United States

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Symbolic AI for XAI: Evaluating LFIT Inductive programming for Fair and Explainable Automatic Recruitment

Symbolic AI for XAI: Evaluating LFIT Inductive Programming f...

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IEEE Winter conference on Applications of Computer Vision (WACV)

作者： Ortega, Alfonso Fierrez, Julian Morales, Aythami Wang, Zilong Ribeiro, Tony Univ Autonoma Madrid Sch Engn Madrid Spain Natl Inst Informat Lab Sci Numer Nantes Tokyo Japan

ISBN: (纸本)9781665419673

Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) explanations of systems bullion machine learning methods can become crucial. Inductive logic programming (ILP) is a subfield o f symbolic AI aimed to automatically learn declarative theories about the process of data. Learning from Interpretation Transition (urn is an ILP technique that can learn a propositional logic theory equivalent to a given blackbox system (under certain conditions). The present work takes a first step to a general methodology to incorporate accurate declarative explanations to classic machine learning by checking the viability of LFIT in a specific AI application scenario: fair recruitment based on an automatic tool generated with machine learning methods for ranking Curricula Vitae that incorporates soft biornetric information (gender and ethnicity). We show the expressiveness of LFIT for this specific problem and propose a scheme that can be applicable to other domains.

关键词： Biometrics

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Investigating transformers in the decomposition of polygonal shapes as point collections 18

Investigating transformers in the decomposition of polygonal...

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18th IEEE/CVF international conference on Computer Vision (ICCV)

作者： Alfieri, Andrea Lin, Yancong van Gemert, Jan C. Delft Univ Technol Comp Vis Lab Delft Netherlands

ISBN: (纸本)9781665401913

Transformers can generate predictions in two approaches: 1. auto-regressively by conditioning each sequence element on the previous ones, or 2. directly produce an output sequences in parallel. While research has mostly explored upon this difference on sequential tasks in NLP, we study the difference between auto-regressive and parallel prediction on visual set prediction tasks, and in particular on polygonal shapes in images because polygons are representative of numerous types of objects, such as buildings or obstacles for aerial vehicles. This is challenging for deep learning architectures as a polygon can consist of a varying carnality of points. We provide evidence on the importance of natural orders for Transformers, and show the benefit of decomposing complex polygons into collections of points in an auto-regressive manner

关键词： Computer vision Visualization Shape Toy manufacturing industry Buildings logic gates Transformers

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Quantitative and stream extensions of answer set programming 37

Quantitative and stream extensions of answer set programming

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37th international conference on logic programming (Technical Communications), iclp 2021

作者： Kiesel, Rafael TU Vienna Austria

Answer Set programming has separately been extended with constraints, to the streaming domain, and with capabilities to reason over the quantities associated with answer sets. We propose the introduction and analysis of a general framework that incorporates all three directions of extension by exploiting the strengths of Here-and-There logic and Weighted logic. © 2021 Open Publishing Association. All rights reserved.

关键词： logic programming

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Derivative-Free Placement Optimization for Multi-UAV Wireless Networks with Channel Knowledge Map

Derivative-Free Placement Optimization for Multi-UAV Wireles...

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IEEE international conference on Communications (ICC)

作者： Li, Haoyun Li, Peiming Xu, Jie Chen, Junting Zeng, Yong Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Peoples R China Chinese Univ Hong Kong Future Network Intelligence Inst Shenzhen 518172 Peoples R China Guangdong Univ Technol Sch Informat Engn Guangzhou 510006 Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211111 Peoples R China

ISBN: (纸本)9781665426718

This paper studies a multi-UAV wireless network, in which multiple UAV users share the same spectrum to send individual messages to their respectively associated ground base stations (GBSs). The UAV users aim to optimize their locations to maximize the weighted sum rate. While most existing work considers simplified line-of-sight (LoS) or statistic air-to-ground (A2G) channel models, we exploit the location-specific channel knowledge map (CKM) to enhance the placement performance in practice. However, as the CKMs normally contain discrete site- and location-specific channel data without analytic model functions, the corresponding weighted sum rate function becomes non-differentiable in general. In this case, conventional optimization techniques relying on function derivatives are inapplicable to solve the resultant placement optimization problem. To address this issue, we propose a novel iterative algorithm based on the derivative-free optimization. In each iteration, we first construct a quadratic function to approximate the nondifferentiable weighted sum rate under a set of interpolation conditions, and then update the UAVs' placement locations by maximizing the approximate quadratic function subject to a trust region constraint. Numerical results show the convergence of the proposed algorithm. It is also shown that the proposed algorithm achieves a weighted sum rate close to the optimal design based on exhaustive search with much lower implementation complexity, and it significantly outperforms the conventional optimization method based on simplified LoS channel models and the heuristic design with each UAV hovering above its associated GBS.

关键词： Knowledge engineering Wireless networks conferences Optimization methods Approximation algorithms Linear programming Complexity theory

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