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Students' Satisfaction in Online Distance Learning using Fuzzy logic and Inference System 6

Students' Satisfaction in Online Distance Learning using Fuz...

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6th international conference and workshops on Recent Advances and Innovations in Engineering (ICRAIE)

作者： Najib, Liana Ahmad, Afida Univ Teknol MARA UiTM Fac Comp & Math Sci Merbok 08400 Kedah Malaysia

ISBN: (纸本)9781665434027

Education system can measure the performance of students by their academic assessment which regards them as passed or failed. However, their satisfaction level during the learning process is also one of the important element to measure the students' psychology and their struggle in learning outcomes. Furthermore, the pandemic outbreak has changed the conventional face-to-face learning environment to online distance learning as whole. In this study, fuzzy logic and inference system is used to present an evaluation for students' satisfaction in online distance learning. The main advantage of this method is its capability to express the students throughout based on simple linguistic statements collected from themselves. Six indicators towards satisfaction are determined and it is suggested that 90.27% of students were satisfied and very satisfied with online distance learning.

关键词： fuzzy logic fuzzy inference system online distance learning

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Finding Your Way Back: Comparing Path Odometry Algorithms for Assisted Return

Finding Your Way Back: Comparing Path Odometry Algorithms fo...

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19th IEEE international conference on Pervasive Computing and Communications (IEEE PerCom)

作者： Tsai, Chia Hsuan Ren, Peng Elyasi, Fatemeh Manduchi, Roberto Univ Calif Santa Cruz Dept Comp Sci & Engn Santa Cruz CA 95064 USA

ISBN: (纸本)9781665404242

We present a comparative analysis of inertial-based odometry algorithms for the purpose of assisted return. An assisted return system facilitates backtracking of a path previously taken, and can be particularly useful for blind pedestrians. We present a new algorithm for path matching, and test it in simulated assisted return tasks with data from WeAllWalk, the only existing data set with inertial data recorded from blind walkers. We consider two odometry systems, one based on deep learning (RoNIN), and the second based on robust turn detection and step counting. Our results show that the best path matching results are obtained using the turns/steps odometry system.

关键词： Wayfinding Spatial accessibility Turn detection Step counting RoNIN Dynamic programming

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Delivery drone route planning over a battery swapping network

Delivery drone route planning over a battery swapping networ...

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12th international conference on Ambient Systems, Networks and Technologies (ANT) / 4th international conference on Emerging Data and Industry 4.0 (EDI40)

作者： Cokyasar, Taner Argonne Natl Lab Energy Syst Div 9700 S Cass Ave Lemont IL 60439 USA

Many enterprises invest on drone delivery research and development to drop off packages at consumers' doorsteps in a matter of minutes. We study delivery drone route planning over a battery swapping network allowing farther reach by penetrating current battery capacity constraints. A mixed-integer nonlinear programming model is created to plan efficient drone routing over the swapping machines by minimizing the delivery lead time. We develop an exact solution method, evaluate its performance, and compare it with a straightforward nonlinear solver application. A case study highlights the applicability of the model. Data and source code to the solver are publicly shared. (C) 2021 The Authors. Published by Elsevier B.V.

关键词： Drone delivery drone routing drone battery swapping mixed-integer nonlinear programming optimization

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Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors

Automatic Generation of Micro-kernels for Performance Portab...

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

作者： Igual, Francisco Piñuel, Luis Catalán, Sandra Martínez, Héctor Castelló, Adrián Quintana-Ortí, Enrique Universidad Complutense de Madrid Madrid Spain Universidad de Córdoba Córdoba Spain Universitat Jaume I Castellón de la Plana Spain Universitat Politècnica de València Valencia Spain

ISBN: (纸本)9798400707858

In this paper, we propose and evaluate several optimized implementations of the general matrix multiplication (gemm) on two different RISC-V architecture cores implementing the RISC-V vector extension (RVV): C906 and C910 from T-HEAD. Specifically, we address the performance portability problem across these processor cores by means of an automatic assembly code generator, written in Python, capable of emitting RVV code for high performance computing (HPC), with a variety of combinations of specific and general optimizations. Our experimental results using a number of automatically-generated micro-kernels for gemm, on both RISC-V architectures, reveal different impact of each optimization, depending on the target architecture, and highlight the importance of automatically generating HPC RVV code to achieve performance portability while reducing the developers' effort. In addition, these optimizations show important performance gains with resepcto to a state-of-the-art tuned BLAS library (OpenBLAS), reaching 3 × and 1.3 × speed-ups for the C910 and C906, respectively. © 2023 ACM.

关键词： Automatic programming

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Special session at DSN for the best papers from SELSE 2021 51

Special session at DSN for the best papers from SELSE 2021

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51st Annual IEEE/IFIP international conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2021

作者： Wood, Alan Oracle Labs San DiegoCA United States

ISBN: (纸本)9781665435666

The 17th Workshop on Silicon Errors in logic – System Effects (SELSE) was held virtually on April 21-22, 2021. Detailed information about SELSE 2021 and previous SELSE workshops, including links to presentations, is available at http://***. Three papers were selected as the Best of SELSE papers and are presented in this special DSN session. The papers are in the emerging technology areas of quantum computing, GPUs, and autonomous vehicles. © 2021 IEEE.

关键词： Errors

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AI-based Robust Convex Relaxations for Supporting Diverse QoS in Next-Generation Wireless Systems 41

AI-based Robust Convex Relaxations for Supporting Diverse Qo...

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41st IEEE international conference on Distributed Computing Systems (ICDCS)

作者： Chan, Steve Krunz, Marwan Griffin, Bob Vit Tall Orlando FL 32835 USA Univ Arizona Tucson AZ 85721 USA

ISBN: (纸本)9781665449328

Supporting diverse Quality of Service (QoS) requirements in 5G and beyond wireless systems often involves solving a succession of convex optimization problems, with varied approaches to optimally resolve each problem. Even when the input set is specifically designed/architected to segue to a convex paradigm, the resultant output set may still turn out to be nonconvex, thereby necessitating a transformation to a convex optimization problem via certain relaxation techniques. This transformation in itself may spawn yet other nonconvex optimization problems, highlighting the need/opportunity to utilize a Robust Convex Relaxation (RCR) framework. In this paper, we explore a particular class of Convolutional Neural Networks (CNNs), namely Deep Convolutional Generative Adversarial Network (DCGANs), to solve not only the QoS-related convex optimization problems but also to leverage the same RCR mechanism for tuning its own hyperparameters. This approach gives rise to various technical challenges. For example, Particle Swarm Optimization (PSO) is often used for hyperparameter reduction/tuning. When implemented on a DCGAN, PSO requires converting continuous/discontinuous hyperparameters to discrete values, which may result in premature stagnation of particles at local optima. The involved implementation mechanics, such as increasing the inertial weighting, may spawn yet other convex optimization problems. We introduce a RCR framework that capitalizes upon the feed-forward structure of the "You Only Look Once" (YOLO)-based DCGAN. Specifically, we use a squeezed Deep Convolutional-YOLO-Generative Adversarial Network (DC-YOLO-GAN), hereinafter referred to as a Modified Squeezed YOLO v3 Implementation (MSY3I), combined with convex relaxation adversarial training to improve the bound tightening for each successive neural network layer and to better facilitate the global optimization via a specific numerical stability implementation within MSY3I.

关键词： Quality of Service 5G Networks Nonconvex Optimization Convex Relaxation Particle Swarm Optimization Deep Convolutional Generative Adversarial Networks Numerical Implementation You Only Look Once Mixed Integer Non-linear programming Robust Convex Relaxation Framework

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JavaBERT: Training a transformer-based model for the Java programming language 36

JavaBERT: Training a transformer-based model for the Java pr...

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36th IEEE/ACM international conference on Automated Software Engineering (ASE)

作者： De Sousa, Nelson Tavares Hasselbring, Wilhelm Univ Kiel Software Engn Grp Kiel Germany

ISBN: (纸本)9781665435833

Code quality is and will be a crucial factor while developing new software code, requiring appropriate tools to ensure functional and reliable code. Machine learning techniques are still rarely used for software engineering tools, missing out the potential benefits of its application. Natural language processing has shown the potential to process text data regarding a variety of tasks. We argue, that such models can also show similar benefits for software code processing. In this paper, we investigate how models used for natural language processing can be trained upon software code. We introduce a data retrieval pipeline for software code and train a model upon Java software code. The resulting model, JavaBERT, shows a high accuracy on the masked language modeling task showing its potential for software engineering tools.

关键词： Java programming language

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Geolog: Scalable logic programming on spatial data 37

Geolog: Scalable logic programming on spatial data

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

作者： Grubenmann, Tobias Lehmann, Jens SDA Research Group Department of Computer Science University of Bonn Germany Fraunhofer IAIS Dresden Germany

Spatial data is ubiquitous in our data-driven society. The logic programming community has been investigating the use of spatial data in different settings. Despite the success of this research, the Geographic Information System (GIS) community has rarely made use of these new approaches. This has mainly two reasons. First, there is a lack of tools that tightly integrate logical reasoning into state-of-the-art GIS software. Second, the scalability of solutions has often not been tested and hence, some solutions might work on toy examples but do not scale well to real-world settings. The two main contributions of this paper are (1) the Relation Based programming paradigm, expressing rules on relations instead of individual entities, and (2) Geolog, a tool for spatio-logical reasoning that can be installed on top of ArcMap, which is an industry standard GIS. We evaluate our new Relation Based programming paradigm in four real-world scenarios and show that up to two orders of magnitude in performance gain can be achieved compared to the prevalent Entity Based programming paradigm. © T. Grubenmann & J. Lehmann This work is licensed under the Creative Commons Attribution License.

关键词： Geographic information systems

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Graph based answer set programming solver systems 37

Graph based answer set programming solver systems

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

作者： Li, Fang University of Texas at Dallas Richardson United States

Answer set programming (ASP) is a popular nonmonotonic-logic based paradigm for knowledge representation and solving combinatorial problems. Computing the answer set of an ASP program is NP-hard in general, and researchers have been investing significant effort to speed it up. The majority of current ASP solvers employ SAT solver-like technology to find these answer sets. As a result, justification for why a literal is in the answer set is hard to produce. There are dependency graph based approaches to find answer sets, but due to the representational limitations of dependency graphs, such approaches are limited. This paper proposes a novel dependency graph-based approach for finding answer sets in which conjunction of goals is explicitly represented as a node which allows arbitrary answer set programs to be uniformly represented. Our representation preserves causal relationships allowing for justification for each literal in the answer set to be elegantly found. In this paper, we explore two different approaches based on the graph representation: bottom-up and top-down. The bottom-up approach finds models by assigning truth values along with the topological order, while the top-down approach generates models starting from the constraints. © F. Li This work is licensed under the Creative Commons Attribution License.

关键词： Knowledge representation

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Efficient password mutual authentication scheme with session key agreement using smart card 6

Efficient password mutual authentication scheme with session...

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6th international conference and workshops on Recent Advances and Innovations in Engineering (ICRAIE)

作者： Shohaimay, Fairuz Ismail, Eddie Shahril Univ Kebangsaan Malaysia Fac Sci & Technol Ukm Bangi Malaysia

ISBN: (纸本)9781665434027

Password authentication is the most common mechanism used to ensure secure communication in an open network. Many password authentication schemes based on two hard problems, i.e. factoring and discrete logarithm, have been proposed in the literature. Even though the related previous schemes provided attractive security attributes, their computational and message transmission costs are high. Thus, this paper proposes an improved password authentication scheme based on modified two hard problems with session key agreement using smart cards. The proposed scheme is proven to resist replay, lost/stolen smart card, forgery, and denial-of-service attacks. Furthermore, BAN logic is used for security verification proof of the proposed password authentication scheme. The performance analysis shows that the proposed scheme is more efficient in terms of communication cost and time complexity when compared to other relevant schemes.

关键词： BAN logic Discrete logarithm Factoring Password authentication Smart card

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