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Hybrid IoT programming with Data Flow Diagrams and mruby

Hybrid IoT Programming with Data Flow Diagrams and mruby

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IEEE international symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Kazuaki Tanaka Sota Ogura R. Krishnamoorthy Faculty of Information Engineering Kyushu Institute of Technology Iizuka Fukuoka Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Fukuoka Japan Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai India

ISBN: (数字)9798331522728

ISBN: (纸本)9798331522735

IoT is increasingly being used in different areas of society. IoT is used in society by collecting values acquired by sensor devices through networks and analysing the data. IoT software is needed to use the IoT, but efficient software development methods are desired because software for an increasingly complex society tends to become more complex. This research aims to improve the efficiency of IoT software and develop an intuitive method for developing IoT *** paper proposes a development methodology that combines a data-flow-based programming approach with a procedural programming language. When the focus is on data, data flow programming is intuitive and efficient. On the other hand, when the focus is on data processing, it is better to use a procedural programming language because data is processed sequentially[1].In the hybrid IoT programming environment proposed in this paper, the code of a procedural programming language is generated from the description by data flow programming, and the program is executed by a micro *** products of this research are available as open source software[2], [3].

关键词： Hands Computer languages Codes programming Data processing Hybrid power systems Open source software Software development management programming environments

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Towards N-version Quantum Software systems for Reliable Classical-Quantum Computing

Towards N-version Quantum Software Systems for Reliable Clas...

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IEEE international Conference on Software Reliability Engineering Workshops (ISSRE Wksp)

作者： Shinobu Saito Suguru Endo Yasunari Suzuki NTT Computer and Data Science Laboratories Tokyo Japan

ISBN: (数字)9798350367041

ISBN: (纸本)9798350367058

While quantum computers have attracted much attention, dealing with computational errors due to noise effects caused by the interaction between quantum hardware and the external environment is a significant challenge. In this paper, we propose an approach to apply N-version programming (NVP) to quantum software to improve the reliability of the entire quantum software system. First, we define architecture patterns for N-version quantum software systems (NVQS) based on a combination of quantum libraries and devices. Next, given that the output of the quantum software system is a probability distribution, we came up with an evaluation strategy inspired by the concept of NVP for clustering and selecting multiple probability distributions output from NVQS. Finally, we outline our future experimental plan.

关键词： Quantum computing Conferences Noise programming Software systems Reliability engineering Probability distribution Libraries Hardware Software reliability

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SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis 14

SIMD Parallel Execution on GPU from High-Level Dataflow Synt...

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14th IEEE international symposium on Embedded Multicore/Many-Core systems-on-Chip (MCSoC)

作者： Bloch, Aurelien Brunet, Simone Casale Mattavelli, Marco Ecole Polytech Fed Lausanne SCI MM STI Lausanne Switzerland

ISBN: (纸本)9781665438605

Writing and optimizing application software for heterogeneous platforms including GPU units is a very difficult task that requires designer efforts and resources to consider several key elements to obtain good performance. Dataflow programming has shown to be a good approach for accomplishing such a difficult task for its properties of portability and the possibility of arbitrary partitioning a dataflow network on each unit of heterogeneous platforms. However, such a design methodology is not sufficient by itself to obtain good performance. The paper describes some methodological steps for improving the performance of dataflow programs written in RVC-CAL and synthesized to execute on heterogeneous CPU/GPU co-processing platforms. The steps do include the optimization of the performance of the communication tasks between processing elements, a strategy for the efficient scheduling of independent GPU partitions, and the introduction of dynamic programming for leveraging the SIMD nature of GPU platforms. The approach is validated qualitatively and quantitatively using dataflow application program examples executed by applying several partitioning configurations.

关键词： dynamic dataflow programs RVC-CAL SIMD parallel computing source-to-source compiler GPU programming heterogeneous systems

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Identification and fractional control of an electronic system

Identification and fractional control of an electronic syste...

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systems, Advanced Technologies and Knowledge (ISSATK), international symposium of

作者： Emna Ouhibi Mahdouani Maher Ben Hariz Université de Kairouan Institut Supérieur des Sciences Appliquées et de Technologie Tunis Tunisie Université de Tunis El Manar École Nationale d’Ingénieurs de Tunis LR11ES20 Laboratoire Analyse Conception et Commande des Systèmes Tunis Tunisie

ISBN: (数字)9798331540173

ISBN: (纸本)9798331540180

This paper deals with the fractional control of an RC circuit using the non-convex optimization method. The RC circuit is identified by a commensurate non integer order system and then the controller parametrs are tuned taking into account the temporal specifications. The temporal performances are fixed using the comparaison beetwen the caracterstic equation and a target model wich is determined by the caracteristic ratio assignment CRA method.

关键词： Transfer functions Optimization methods Linear programming Mathematical models Object recognition Integrated circuit modeling Time-domain analysis

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Sampling-Rate Based Co-design Method of Control systems Integrated with Time Sensitive Networking 30

Sampling-Rate Based Co-design Method of Control Systems Inte...

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30th IEEE international symposium on Industrial Electronics (ISIE)

作者： Lu, Xuanzhao Xu, Qimin Zhang, Jinglong Chen, Cailian Shanghai Jiao Tong Univ Dept Automat Key Lab Syst Control & Informat Proc Minist Educ China Shanghai 200240 Peoples R China

ISBN: (纸本)9781728190235

Traditional methods for designing cyber-physical systems (CPS) are mostly based on the best-effort communication to design control and transmission mechanisms independently, which limits the overall system performance. Moreover, these methods focus on the utilization of transmission resources without sufficient consideration of deterministic low latency communication. Hence, the co-design of control and transmission in CPS integrated with Time Sensitive Networking (TSN), that provides deterministic transmission, is a promising and challenging problem. In this paper, we propose a co-design method of control and transmission mechanisms by optimizing the sampling rates of control systems with a shared multi-hop TSN. This co-design method is formulated as a mixed-integer nonlinear programming (MINLP) problem to minimize the overall control cost while ensuring all data flows to meet their end-to-end deadlines. To solve this MINLP problem with the greatest common divisor (GCD) and bilinear constraints efficiently, we adopt the scaling method and McCormick envelopes to eliminate the non-differentiable and nonlinear terms. Moreover, we design an optimized linearization method to solve the trade-off problem between the algorithm runtime and accuracy while reducing computational complexity. Simulations demonstrate that the proposed approach significantly improves the overall system performance.

关键词： Costs Runtime System performance Spread spectrum communication programming Control systems Stability analysis

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Model-Based Co-Simulation Method for PLC programming: Interaction Design and Optimization

Model-Based Co-Simulation Method for PLC Programming: Intera...

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IEEE international symposium on Industrial Electronics (ISIE)

作者： Jianguo Lan Wenbin Zou Qimin Xu Yanling Lai Shanying Zhu Department of Automation Shanghai Jiao Tong University Shanghai China Department of R&D CGN Digital Technology Co. Ltd. Shanghai Branch Shanghai China

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

The Industrial Internet of Things (IIoT) is an enabling technology for the evolution of automation industry. The programming of Programmable Logic Controller (PLC) is a core task of industrial automation. To improve the accuracy and efficiency of PLC programming for complex control systems, it is necessary to conduct co-simulation between PLCs and simulation modeling software based on Model-Based Design (MBD). In this paper, a unified model-based co-simulation framework for PLC programming is proposed. This framework provides heterogeneous device communication by integrating OPC UA protocol and hardware-in-the-loop (HIL) verification by code generation and loading. To improve the real-time performance of co-simulation, a data exchange optimization problem is constructed by modeling the offset adjustment of each periodic exchanged data, which considers the nonlinear feature of exchange time with respect to data amount. To solve this problem efficiently, a meta-heuristic algorithm based on an adapted sea-horse optimizer is proposed. A tool based on MATLAB/Simulink is developed to validate the proposed framework and optimization method. The results indicate that the proposed framework is compatible, and the optimization approach significantly improves the efficiency of data exchange.

关键词： Adaptation models Codes Automation Programmable logic devices Optimization methods programming Mathematical models

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A Gradient-Sampling-based Algorithm for Change Point Detection in Piecewise Linear Model

A Gradient-Sampling-based Algorithm for Change Point Detecti...

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2022 IEEE international symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022

作者： Xiao, Kai Shen, Yimin Qian, Xiaorui Zhan, Xiangpeng Guo, Yuanyuan Huang, Wen State Grid Fujian Marketing Service Center Fujian Fuzhou China School of Mathematical Sciences Xiamen University Fujian Xiamen China

ISBN: (数字)9798350332483

ISBN: (纸本)9798350332483

Change point detection, as an important technique in artificial intelligence, aims to identify abrupt changes in complex systems. In this paper, we propose a novel gradient-sampling-based approach for change point detection in piecewise linear model. The convergence to a point satisfying the first-order optimality condition is guaranteed. Through extensive numerical experiments, we compare the proposed algorithm with the well known method of Muggeo’s segmentation by dynamic programming. By computing the change points on the dataset concerning the relationship between the residential electricity consumption and temperature in Fujian Province, we demonstrate that the proposed algorithm outperforms Muggeo’s method. Moreover, when using the change points for power load forecasting, the change points from the proposed algorithm can significantly improve the predictive performance of the Long Short-Term Memory (LSTM) model. © 2022 IEEE.

关键词： Dynamic programming

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Effects of Different Optimizations at Detection of Vehicles and Pedestrians with YOLOv8

Effects of Different Optimizations at Detection of Vehicles ...

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international Artificial Intelligence and Data Processing symposium (IDAP)

作者： Ecem İren Computer Programming Program İzmir Kavram Vocational School İzmir Türkiye

ISBN: (数字)9798331531492

ISBN: (纸本)9798331531508

Improvements in deep learning has facilitated traffic management by providing analyzing and prediction capabilities on the road. In this study, vehicle and pedestrian detection with YOLOv8 was carried out with different optimizations such as Adam, Stochastic Gradient Descent (SGD) and RMSprop, at the end of the experiments, the model with SGD which produced $87.1 \%$ in mAP was seen as the best optimizer when compared with others at detecting objects.

关键词： Deep learning YOLO Pedestrians Roads Stochastic processes Optimization methods Traffic control Real-time systems Pattern analysis Monitoring

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Characterizing students behavior in multi-user multi-computer testing environments

Characterizing students behavior in multi-user multi-compute...

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IEEE international symposium on Multimedia

作者： Rajini Chittimalla Sujung Choi Madhu Sai Vineel Reka Yassine Belkhouche Department of Computer Science Missouri State University Springfield USA

ISBN: (数字)9798331511111

ISBN: (纸本)9798331511128

In recent years, multi-user, multi-computer testing environments have become widely utilized for examinations, quizzes, and programming assignments. This setup raises concerns about students accessing information from neighboring screens, facilitating potential solutions. In this paper, we propose a multi-user system capable of analyzing students’ behavior during testing sessions. To achieve this, we collected and labeled a dataset of students’ head postures, including instances of students looking left, looking right, and looking forward. The proposed system utilizes six facial landmarks extracted from detected faces to classify students’ behavior. We designed and trained a neural network to implement this system. Extensive testing demonstrates its effectiveness in identifying and characterizing the frequency and duration of gaze shifts. This research advances exam proctoring systems, bolstering their capability to detect and discourage unwanted behaviors in multi-user testing environments.

关键词： Deep learning Neural networks programming Feature extraction Faces Testing

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SQP-Based Multi-Objective Optimization Using Approximate Gradient

SQP-Based Multi-Objective Optimization Using Approximate Gra...

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Aerospace Engineering and systems (ISAES), international symposium on

作者： Miao Liu Ruizhan Qian Wutao Lei Jianlong Wei The General Configuration and Aerodynamic Design and Research Department AVIC The First Aircraft Institute Xi'an China

ISBN: (数字)9798350350418

ISBN: (纸本)9798350350425

In the engineering environment, aerodynamic design tends to face the problem of finding the optimal value under multiple objectives and multiple constraints, so the huge computational cost expenditure which mainly caused by enormous repeated gradient calculations becomes the biggest obstacle for the application of aerodynamic optimization. In this paper, an efficient optimization method using approximate gradient analysis was proposed to save gradient calculation time, in which the objective functions were evaluated with high-fidelity analyses in one-dimensional linear search, while the gradients were evaluated with a less time-consuming approximation model during the optimization process. Multi-objective problems were handled with linear weighted sum method. Multi-objective aerodynamic optimization performed on RAE2822 airfoil were investigated. Compared to standard SQP (sequential quadratic programming) optimization, the presented method yields 66.2% CPU time reduction for two-point airfoil design. The study indicates that the proposed optimization procedure has significant potential for engineering applications.

关键词： Atmospheric modeling Computational modeling Aerodynamics Approximation algorithms Search problems Computational efficiency Quadratic programming Optimization Automotive components Standards

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