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检索条件"任意字段=1st International Conference on the Art, Science and Engineering of Programming, Programming 2017"

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Discussion on compiling principle teaching mode based on modularization

Discussion on compiling principle teaching mode based on mod...

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1st international conference on Big Data Analytics for Cyber-Physical System in Smart City, BDCPS 2019

作者： Zheng, Hong Li, Jianhua Guo, Weibin Yang, Jianguo School of Information Science and Engineering East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9789811525674

Compiling principle" is an important professional course for computer science and technology specialty. It aims at introducing the general principles and basic methods of compiling program construction. It plays an important role in the major teaching system. The course is very theoretical and practical, and it is difficult to master the knowledge of compilation principle completely and comprehensively. A mixed teaching mode is put forward to improve students’ abilities in teaching effect of compiling programming based on constructivism modularization in the paper. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Modular construction

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Machinery parameter optimization of CNC milling programming towards process time 1

Machinery parameter optimization of CNC milling programming ...

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2019 1st Borobudur international Symposium on Applied science and engineering, BIS-ASE 2019

作者： Widodo, E.M. Purnomo, T.A. Ariyanto, N. Department of Industrial Engineering Universitas Muhammadiyah Magelang Magelang Indonesia Department of Production PT Mekar Armada Jaya Magelang Indonesia

The Tooling Department is a department engaged in manufacturing die, namely the manufacture of printing equipment to make components/pressed part made according to the desired design and processed on a pressing machine, die ordered from the customer, namely sole agent brand (ATPM). The manufacturing process has been running well so far, but to improve service and to reduce manufacturing die costs, it is necessary to improve time efficiency by optimizing machining parameters. The purpose of this study is to determine the machining parameters that produce optimal processing time in CNC milling programming. This study uses the Taguchi Method with the Orthogonal Array L9 pattern. Factors to be examined include cutting speed, feed rate, depth of cut and machining tolerance using a cutter ball nose 32 mm and 30 mm. Parameters that produce optimal machining process time in CNC milling programming for cutter ball nose 32 mm are at optimum cutting speed = 100480 mm/min, optimal feed rate conditions = 1200 mm/min, optimal depth of cut = 1.5 mm, and conditions machining tolerance = 0.09 mm. The machining process time produced under these conditions is 265.73 minutes. Whereas for cutter ball nose 30 mm is at optimum cutting speed = 103620 mm/min, optimal feed rate condition = 1280 mm/min, optimal depth of cut = 1.5 mm, and machining tolerance = 0.09 mm. The machining process time produced under these conditions is 265.51 minutes. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Milling (machining)

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Implementation of a customized CAD extension to improve the calculation of center of gravity 1st

Implementation of a customized CAD extension to improve the ...

引用

1st international conference on engineering Solutions for Sustainable Development, ICES2D 2019

作者： Szabó, M. Mileff, P. Nehéz, K. Department of Information Engineering Institute of Information Science Faculty of Mechanical Engineering and Informatics University of Miskolc Hungary

ISBN: (纸本)9780367424251

This paper presents an automated system that can effectively support human work, thereby speeding up the Computer Aided Designing process. The motivation of the research and development task was to implement a module in an existing CAD system which can calculate the center of gravity, which requires investigating the distribution of the mass. There were complex CAD models designed in the application called Siemens NX. It has some built-in functions for designers for supporting the calculations. The first chapter of the paper overviews the mathematical background of the calculation. For software development point of view, the authors investigated the programming facilities of Siemens NX. Investigations showed that the first task is to assign material properties for the components that are in the design. Our goal was to automate this task as the manual material attribute assignment is time-consuming and potentially leads to errors. To perform this task, the relevant documentation and literature have been reviewed. A recently published model carries out material assignments by identifying the relationship between shape, functionality, and material in parts. There is a study that analyses the basic concepts and relationships affecting all aspects of material selection. In this paper, a new software component is presented, providing an approach for material assignment. The center of gravity calculation based on the valid material data then provides a reliable result. The Siemens NX software plug-in developed by the authors has been installed and actively used by our industrial partner. © 2020 Taylor & Francis Group, London.

关键词： Computer aided design

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Data-Driven Optimal Tracking Control for Linear Systems Based on Output Feedback Approach

Data-Driven Optimal Tracking Control for Linear Systems Base...

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1st international conference on Robotics and Rehabilitation Intelligence, ICRRI 2020

作者： Chen, Shikang Xiao, Zhenfei Li, Jinna School of Information and Control Engineering Liaoning Shihua University FushunLiaoning113001 China

ISBN: (纸本)9789813349315

In this paper, an off-policy Q-learning method is proposed to solve the linear quadratic tracking problem of discrete-time system based on the output feedback of the system when the system model parameters are unknown. First, a linear discrete-time system with unknown parameters in the system matrix is given. Then, based on the Q-learning method and dynamic programming, an off-policy Q-learning algorithm without knowing system model parameters is proposed, such that the optimal controller is designed to obtain the control strategy which uses the system output data to learn the output feedback data driven optimal tracking control for linear discrete time systems with output feedback. Finally, the simulation results verify the effectiveness of the method. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Dynamic programming

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A study on Natural Computing: A Review 1st

A Study on Natural Computing: A Review

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1st international conference on Data science, Machine Learning and Applications, 2019

作者： Pathak, Rashmi Gupta, Shyam Sunder Department of Computer Engineering Siddhant College of Engineering Sudumbre PuneMaharashtra India

ISBN: (纸本)9789811514197

Natural Computing derives its inspiration from nature. We mean here that natural phenomenon are used or captured by the researchers or scientists and are used in various computations. When we look at the traditional methods of computations, we see a great deal of programming and lot mechanisms involved which gives us the accurate results. These computations are fast and are well known for their power of complex decision making. But when it comes to transparency, users do not get the insight. Although these lack transparency, their high quality computations were well used by the researchers in various domains and applications. Researchers have been trying to make this computations better and better by trying and testing various paradigms. There was an idea that clicked among the researchers to merge nature and computing together. They started looking at the basic natural phenomenon like flock of birds, movement of ants etc. and using the observation in the form of algorithm to solve their problem statement. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Neural networks

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Automatic design of aggregation, generalization and specialization of object-oriented paradigm embedded in srs 1st

Automatic design of aggregation, generalization and speciali...

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1st international conference on Advances in Electrical and Computer Technologies, ICAECT 2019

作者： Arunakumari, B.N. Handigund, Shivanand M. Department of Computer Science and Engineering BMS Institute of Technology and Management Bengaluru560 064 India Department of Computer Science and Engineering Cambridge Institute of Technology North Campus Bengaluru562 110 India

ISBN: (纸本)9789811555572

The software requirements specification (SRS) is the initial input to any software development process. This SRS document is lustrated gradually using software development lifecycle (SDLC) stage activities from highly flexible million word English language document to lowly flexible hundred word programming language software in the direction from individual human understanding to general human and machine understanding. The correctness and completeness of the process lies in the maintenance of richness of the intermediate stage-specific languages along with their introrse semiotics and the naturalness. The evolution of the richness of analysis stage languages in object-oriented paradigm gives rise to the new interrelationships. This paper attempts to utilize this raison detre to design automated tools for the extant generalization, specialization and aggregation interrelationships of object-oriented paradigm. © Springer Nature Singapore Pte Ltd 2020.

关键词： Semantics

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Technological Platform for the Control of the Medication Supply to People with Diabetes 1st

Technological Platform for the Control of the Medication Sup...

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1st international conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019

作者： Callejas-Cuervo, Mauro Contreras Barrera, Juan Pablo Cárdenas Rengifo, David Leonardo Software Research Group Engineering Faculty Universidad Pedagógica y Tecnológica de Colombia Tunja Colombia

ISBN: (纸本)9783030467845

This article presents the design of a technological platform called MedicHand, composed of a functional prototype of an electronic bracelet, and web system, elements which, together, allow for control the supply of medication to people who suffer from diabetes. In the first part, the problem Diabetes Mellitus (DM) for the immune system is discussed, as well as the situation of the medical treatments associated with this disease and the current medical trends. In the same way, the technologies involved in the construction of the device, the components that integrate the technological platform, the communication protocol and the design of the bracelet are described. © Springer Nature Switzerland AG 2020.

关键词： Computer programming

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Resource Allocation for Multi-UAV Assisted IoT Networks: A Deep Reinforcement Learning Approach 1

Resource Allocation for Multi-UAV Assisted IoT Networks: A D...

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1st international conference on Pervasive artificial Intelligence, ICPAI 2020

作者： Munaye, Yirga Yayeh Lin, Hsin-Piao Juang, Rong-Terng Tarekegn, Getaneh Berie National Taipei University of Technology Department of Electrical Engineering and Computer Science Taipei Taiwan National Taipei University of Technology Department of Electronic Engineering Taipei Taiwan Feng Chia University Department of Electronic Engineering Taichung Taiwan

ISBN: (纸本)9781665404839

The wireless communication system for the massively heterogeneous Internet of Things (IoT) network hinders the allocation of resources. For this study, an unmanned aerial vehicle (UAV) is considered as a base station (BS) for IoT system communications to maximize the utilization of future wireless network capacity. Two UAVs are used as the power source and an information transmitter (Tx). To be easily managed, IoT devices are categorized into two clusters of urban and semi-urban features based on their signal distribution and fluctuations. Next, the deep reinforcement learning (DRL) approach is proposed as a resource allocation (RA) scheme. The allocation of resources for bandwidth, throughput, and power consumption issues are considered to be our resources. TensorFlow (Python) programming tool is executed to evaluate and estimate the overall capability of the system. Finally, we analyzed the proposed approach based on different scenarios. Based on the experimental results, our method shows promising outcomes with rapid convergence, suitable for heterogeneous networks, and low complexity based on the evaluation tasks of classification and regression. © 2020 IEEE.

关键词： Internet of things

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1st international conference on Data science, Machine Learning and Applications, 2019

1st International Conference on Data Science, Machine Learni...

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1st international conference on Data science, Machine Learning and Applications, 2019

ISBN: (纸本)9789811514197

The proceedings contain 203 papers. The special focus in this conference is on Data science, Machine Learning and Applications. The topics include: A Survey on stock Market Prediction Using Machine Learning Techniques;improve the Efficiency of the Classifiers Using Resample Technique on Image Segmentation Dataset;Minimization of Deformation of Sensor Data with Enhanced Probabilistic Maximum like Hood Selection Process (PMSP);analyzing the Understandability of Data Warehouse Conceptual Model Using Fuzzy Logic Techniques;a Survey on Reversible Data Hiding Techniques;predictive Analytics in Mining of Educational Data: A Research Travelogue;machine Learning and Deep Learning in Cyber Security for IoT;K-NN SEMANTIC Inquiry on Scrambled Social Information BASE;a study on Mining and Analysis of Trajectory Databases with Multi-dimensional Feature Sets;Idiom Recommendation Using POS Tagging and Sentence Parsing;Prediction of Housing Prices Using Machine Learning, Time Series ARIMA Model and artificial Neural Network;PRSSDF: Page Rank Specific student Discussion Forum;a Comparative study of Recommender Systems;an Overview on Blockchain Technology and Its Applications;Performance Analysis of 8-Bit Vedic Multipliers Using HDL programming;CMOS Implementation of Comparators for ADCs;capable and Verification Protocol for Restricting Information storage in Cloud Computing;outlying Info Integrity-Checking Protocol with Augmented stability to Secure storage in Cloud;challenges and Uses of Big Data Analytics for Social Media;sub-scene Target Detection and Recognition Using Deep Learning Convolution Neural Networks;indian and European Script Identification: A Review;ioT Based Garbage Disposer for Educating Rural India;Face Recognition Using Open CV with Deep Learning;biometric Recognition Using Fusion.

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DINASORE: A dynamic intelligent reconfiguration tool for cyber-physical production systems 1

DINASORE: A dynamic intelligent reconfiguration tool for cyb...

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1st Eclipse Research international conference on Security, artificial Intelligence and Modeling for the Next Generation Internet of Things, SAM IoT 2020

作者： Pereira, Eliseu Reis, João Gonçalves, Gil SYSTEC Research Center for Systems and Tecnologies Faculty of Engineering University of Porto Rua Dr. Roberto Frias Porto4200-465 Portugal

The nowadays industrial digital revolution demands for software driven solutions where reconfiguration is one of the key enablers to achieve smart manufacturing by easy deployment and code reuse. Despite existing several tools and platforms that allow for software reconfiguration at the digital twin / edge level, it is most of the times difficult to make use of state of the art algorithms developed in the most popular programming languages due to software incompatibility. This paper presents a novel framework named Dynamic INtelligent Architecture for Software MOdular REconfiguration (DINASORE) that implements the industrial standard IEC 61499 based in Function Blocks (FB) in Python language for Cyber-Physical Production Systems’ implementation. It adopts the 4DIAC-IDE as graphical user interface (GUI) to ease the design and deployment of FBs to quickly and on-demand reconfigure target equipment. The proposed framework provides data integration to third party platforms through the use of OPC-UA. The test scenarios demonstrate that the proposed framework 1) is flexible and reliable for different applications and 2) the CPU and memory workload linearly increases for a large amount of FBs. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Dynamics

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