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programming Methods Comparison in Mitsubishi MELFA Robots

Programming Methods Comparison in Mitsubishi MELFA Robots

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Mechanical Engineering and Robotics Research (ICMERR), international conference on

作者： Boris Kostov Vladimir Hristov Electrical Motion Automation Systems Technical University of Sofia Sofia Bulgaria

In this paper are comparison of programming with functions and libraries versus standard commands in Mitsubishi MELFA industrial robot is explored. In paper are present tests of several different methods for programming (Standard program; GoSub; CallP; Function version 1 (using output and external variable); Function version 2 (using ByRef)). this comparison are done with the purpose of providing method for optimizing the cycle time of the robot job and reducing the cost of software maintenance. the results of the research show that one method is approximately seven times faster than the slowest method. this research paper are suitable for both beginners who will deal with programming and integration of robots as well as advanced ones.

关键词： Software maintenance Costs Codes Service robots programming Libraries Timing

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EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications

EndToEndML: An Open-Source End-to-End Pipeline for Machine L...

引用

international conference on Information and Computer Technologies (ICICT)

作者： Nisha Pillai Athish Ram Das Moses Ayoola Ganga Gireesan Bindu Nanduri Mahalingam Ramkumar Mississippi State University Mississippi State USA

ISBN: (数字)9798350385625

ISBN: (纸本)9798350385632

Artificial intelligence (AI) techniques are widely applied in the life sciences. However, applying innovative AI techniques to understand and deconvolute biological complexity is hindered by the learning curve for life science scientists to understand and use computing languages. An open-source, user-friendly interface for AI models, that does not require programming skills to analyze complex biological data will be extremely valuable to the bioinformatics community. With easy access to different sequencing technologies and increased interest in different ‘omics’ studies, the number of biological datasets being generated has increased and analyzing these high-throughput datasets is computationally demanding. the majority of AI libraries today require advanced programming skills as well as machine learning, data preprocessing, and visualization skills. In this research, we propose a web-based end-to-end pipeline that is capable of preprocessing, training, evaluating, and visualizing machine learning (ML) models without manual intervention or coding expertise. By integrating traditional machine learning and deep neural network models with visualizations, our library assists in recognizing, classifying, clustering, and predicting a wide range of multi-modal, multi-sensor datasets, including images, languages, and one-dimensional numerical data, for drug discovery, pathogen classification, and medical diagnostics.

关键词： Training Computational modeling Pipelines Data visualization Machine learning programming Life sciences

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Efficiency Optimization Method of Parallel DC/DC Converter Based on Sequential Quadratic programming

Efficiency Optimization Method of Parallel DC/DC Converter B...

引用

IEEE international conference on Power and Energy Applications (ICPEA)

作者： Tian Xie Jingjing Huang Limin Zhao Shuo Wang Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

Interleaved parallel bidirectional DC/DC converters are widely used in various application fields due to their high power density and scalability. However, variations in the internal resistance of each module can lead to power switching losses and uneven load current distribution. Consequently, some modules with higher efficiency may operate at non-optimal points, which diminishes the overall system efficiency. therefore, identifying an optimal load current distribution scheme is crucial. By optimizing the current distribution, each module can operate near its optimal power output point, maximizing overall system efficiency and minimizing energy waste. this paper proposes an efficiency optimization strategy based on the sequential quadratic programming method. By establishing an efficiency model for the parallel DC/DC converter system, we utilize this method to determine the optimal load current distribution. this approach enhances the overall operational efficiency of the system. Simulation results indicate that, compared to traditional current sharing control strategies, the overall system efficiency is improved by up to 1.01%, significantly enhancing energy utilization.

关键词： Resistance Power system measurements Simulation Scalability Switching loss Current distribution Quadratic programming Iterative methods Optimization Load modeling

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Narrative-Driven Immersion and Students' Perceptions in an Online Software programming Course 7

Narrative-Driven Immersion and Students' Perceptions in an O...

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7th international conference of the Immersive-Learning-Research-Network (iLRN)

作者： Fontes, Mario Madureira Pedrosa, Daniela Araujo, Tania Morais, Ceres Costa, Aline Cravino, Jose Morgado, Leonel Univ Aberta Coimbra Portugal PUCSP Sao Paulo Brazil Univ Aveiro CIDTFF Aveiro Portugal UTAD Vila Real Portugal Univ Aveiro Aveiro Portugal INESC TEC Porto Portugal UERN Mossoro Brazil Univ Porto Porto Portugal INESC TEC Porto Portugal CIDTFF Aveiro Portugal

ISBN: (纸本)9781734899528

Learning software programming is challenging for software engineering students. In this paper, students' engagement in learning software engineering programming is considered under the Simprogramming approach using the OC2-RD2 narrative technique to create an immersive learning context. the objectives of this paper are twofold: presenting a narrative-driven immersive learning approach to introduce software engineering concepts and coding techniques to online undergraduate students;and analyzing the students' feedback on this approach. thematic analysis of the metacognitive tasks was performed on the students' fortnightly reflections about their learning progress. Content analysis was based on interest categories, students' perceptions, metacognitive challenges, narratives, examples and aspects to be kept or to be improved. Data from the content analysis were organized into categories, subcategories, indicators, and recording units and their categorization was peer-reviewed. the narratives were considered by the students as interesting, appealing, akin to professional reality and promoting interaction. Most students thought the approach was helpful for learning software programming.

关键词： teaching methods student surveys distance education computer science education learning processes

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the Optimization of Hyperparameter Based on Mathematics for Gradient Descent Algorithm

The Optimization of Hyperparameter Based on Mathematics for ...

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international conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Abel C. H. Chen Information & Communications Security Laboratory Chunghwa Telecom Laboratories Taoyuan Taiwan

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

Gradient descent algorithms are widely considered the primary choice for optimizing deep learning models. However, they often require adjusting various hyperparameters, like the learning rate, among others. these hyperparameters significantly impact both the speed of convergence and the accuracy of the solution. thus, this study introduces an analytical framework that uses mathematical models to assess the mean error of each objective function concerning gradient descent algorithms. Additionally, this framework aims to identify the most effective hyperparameter values by minimizing the mean error. By analyzing optimization models, generalized principles have been established for setting hyperparameter values. Empirical results demonstrate that our proposed method achieves superior convergence efficiency and reduced errors compared to existing approaches.

关键词： Deep learning Computers Accuracy Optimization models Computational modeling Linear programming Integrated circuit modeling

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An Analysis of Correlation Between Learning Style and Online Learning Performance During COVID-19: A Case Study of a Computer programming Course

An Analysis of Correlation Between Learning Style and Online...

引用

international conference on Information Technology (INCIT)

作者： Patcharaporn Panwong Wacharawan Intayoad Center of Excellence in Artificial Intelligence and Emerging Technologies School of Information Technology Mae Fah Luang University Chiang Rai Thailand School of Information Technology Mae Fah Luang University Chiang Rai Thailand

Learning styles are crucial for online learning because they help understand how individuals best absorb and process information. By considering these, online educators can tailor their instructional approaches to better align with their diverse needs. this study aims to analyze the correlation between learning style and online learning performance under the assumption that each student has multiple learning styles. Students answered the modified online questionnaire based on the Grasha-Riechmann Learning Styles model. there were 348 first-year undergraduate students at Mae Fah Luang University who enrolled in a computer programming course during the COVID-19 pandemic. Basic descriptive statistics and correlation analysis using the Pearson’s or Spearman’s correlation coefficient were performed. After an overall analysis, respondents were divided into two groups based on their online learning performance for further analysis. Overall, online learning performance was found to be positively correlated with a participant style and negatively correlated with an avoidant style. the results of this additional investigation revealed that the participant style was common among students from both groups. Even though these correlations appeared weak, this represented that the needs of this common style should be met first when making changes to online course design, such as employing gamification strategies.

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Algorithm of Automatic Synthesis of Optimal Solutions for Power Systems based on the Method of Dynamic programming

Algorithm of Automatic Synthesis of Optimal Solutions for Po...

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international Youth Scientific and Technical conference on Relay Protection and Automation (RPA)

作者： A. A. Voloshin E. A. Voloshin A.I. Kovalenko D.P. Yakovlev E. S. Astakhov I.S. Polygalin D.A. Romanov Relay Protection and Automation of Power System Department National Research University«MPEI» Moscow Russia

ISBN: (数字)9798331501105

ISBN: (纸本)9798331501112

Determination of technically and economically feasible design solutions for power distribution networks remains an urgent task of the electric power industry. Existing design methods, both manual and software, do not allow to fully automate the process and do not take into account distributed energy sources. the article proposes an algorithm for the automatic synthesis of the optimal structure and parameters of the electrical network scheme. To implement the algorithm the method of dynamic programming with ‘collapsing’ of solutions was used, which allowed to significantly reduce the search space and increase the efficiency of calculations. the software implementation of the algorithm was performed in the Java programming language with visualization of the obtained solutions using the *** package. To verify the effectiveness of the proposed approach, computational experiments were carried out on a 13-node scheme of the distribution network. Two tasks were considered: design of a new electrical network and development of the existing electrical network using the algorithm of automatic synthesis of the optimal solution for the power system on the basis of dynamic programming. Various scenarios including different network configurations and substation nominal voltage levels were analyzed in the experiments. the results showed that the proposed algorithm allows to efficiently find optimal solutions, taking into account both technical and economic aspects.

关键词： Visualization Automation Heuristic algorithms Design methodology Power system dynamics Software algorithms Distribution networks Voltage Software Dynamic programming

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ICCDE 2021 - 2021 7th international conference on Computing and Data Engineering

ICCDE 2021 - 2021 7th International Conference on Computing ...

引用

7th international conference on Computing and Data Engineering, ICCDE 2021

ISBN: (纸本)9781450388450

the proceedings contain 17 papers. the topics discussed include: an improved random walk algorithm for resource scheduling in cloud datacenter;optimization techniques in data management: a survey;hybrid feature tweaking: combining random forest similarity tweaking with CLPFD;graph-AutoFS: auto feature selection in graph neural;experiment and performance analysis for streaming data on multicore platform;strategies for heterogeneous multi-core processing based on graph programming;Facebook customer engagement graph analysis using K-core, M-core and Km-core methods;attribute network alignment based on network embedding;and monitoring and controlling electrical appliances through rule engine in the smart office.

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Comparative Analysis and Practical Implementation of loT Communication Using HTTP/2 and MQTT

Comparative Analysis and Practical Implementation of loT Com...

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international conference on Green Technology and Sustainable Development (GTSD)

作者： Ridwan Sanjaya Andre Kurniawan Pamudji Evelyn Vania Department of Information Systems Soegijapranata Catholic University Semarang Central Java Indonesia

ISBN: (数字)9798350386073

ISBN: (纸本)9798350386080

the adoption of Internet of things (loT) in government offices is on the rise to enhance clean and transparent services. the implementation of loT devices facilitates the retrieval of essential documents from government offices without direct staff interaction, reducing the risk of integrity and ethical violations through loT -based retrieval lockers. However, like other loT developments, bidirectional communication between servers and loT devices is often necessary. Traditional HTTP protocols fall short to meet this demand, leading to inefficient practices such as frequent server requests, and draining device resources unnecessarily. this article explores the suitability of Server-Sent Events in HTTP/2 and MQTT protocols as alternatives. It examines their strengths, weaknesses, and programming complexities for loT developers. the study compares the viability of Server-Sent Events in HTTP/2 and MQTT as solutions. Results indicate that while MQTT is suitable for communication needs, Server-Sent Events in HTTP/2 utilizes less infrastructure and less complexity, making it the optimal choice for implementing communication between loT devices and servers.

关键词： Ethics Government Bidirectional control programming HTTP Complexity theory Servers

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Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources 7

Online State Estimation for Microscopic Traffic Simulations ...

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7th international conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)

作者： Malena, Kevin Link, Christopher Mertin, Sven Gausemeier, Sandra Traechtler, Ansgar Paderborn Univ Heinz Nixdorf Inst Furstenallee 11 Paderborn Germany Fraunhofer Inst Mechatron Syst Design IEM Zunkunftsmeile 1 Paderborn Germany

ISBN: (纸本)9789897585135

the online fitting of a microscopic traffic simulation model to reconstruct the current state of a real traffic area can be challenging depending on the provided data. this paper presents a novel method based on limited data from sensors positioned at specific locations and guarantees a general accordance of reality and simulation in terms of multimodal road traffic counts and vehicle speeds. In these considerations, the actual purpose of research is of particular importance. Here, the research aims at improving the traffic flow by controlling the Traffic Light Systems (TLS) of the examined area which is why the current traffic state and the route choices of individual road users are the matter of interest. An integer optimization problem is derived to fit the current simulation to the latest field measurements. the concept can be transferred to any road traffic network and results in an observation of the current multimodal traffic state matching at the given sensor position. First case studies show promosing results in terms of deviations between reality and simulation.

关键词： Microscopic Traffic Simulation Online State Estimation Mixed Road Users Sensor Fusion Integer programming Route Choice Vehicle2Infrastructure

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