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检索条件"任意字段=3rd IEEE Intelligent Data Acquisition and Advanced Computing Systems"

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intelligent Tutoring System for English Language acquisition Based on Computer Algorithms

Intelligent Tutoring System for English Language Acquisition...

引用

data Analytics, computing and Artificial Intelligence (ICDACAI), International Conference on

作者： Xing Li Hunan University of Medicine Huaihua China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

With the continuous deepening of computer application, computer-assisted instruction (CAI) has made remarkable progress in foreign language learning. Foreign language learning mainly relies on memory-based learning methods, and CAI has a unique advantage in assisting memory by providing information in the form of visuals, images, sounds and animations, thus constructing a multidimensional knowledge layer in the brain and enhancing learning efficiency. At present, CAI English learning software mainly focuses on memorizing words and quizzes, but tutoring software specifically for college English level exams is scarce. In this paper, based on computer algorithms, combining collaborative filtering algorithm and convolutional neural network algorithm, an intelligent tutoring system for English language acquisition is designed and realized. The experimental data show that students using the intelligent tutoring system show more significant improvement in English proficiency improvement than traditional learning methods, and the average improvement score of the experimental group is about 6 points higher than that of the control group, further verifying the effectiveness of the system in improving learning efficiency.

关键词： Learning systems Visualization Heuristic algorithms Collaborative filtering Education Software algorithms Learning (artificial intelligence) Software Real-time systems Convolutional neural networks

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Path planning of an autonomous mobile robot using adaptive network based fuzzy controller

Path planning of an autonomous mobile robot using adaptive n...

引用

ieee International Advance computing Conference, IACC

作者： Prases K. Mohanty Dayal R. Parhi Alok K. Jha Anish Pandey Department of Mechanical Engineering National Institute of Technology Rourkela Orissa India

ISBN: (纸本)9781467345279

In recent years intelligent soft computing techniques such as fuzzy inference system (FIS), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are proven to be efficient and suitable when applied to a variety of systems. In this paper we intend to formulate an adaptive neuro-fuzzy inference system (ANFIS), a new sensor based navigation technique for mobile robot. The ANFIS controller uses different sensors based information such as front obstacle distance (FOD), right obstacle distance (ROD), left obstacle distance (LOD) and heading angle (HA) for choosing the optimal direction while moving towards target. The real time experiment has been carried out under different environmental scenarios to collect the data set for modeling ANFIS tool box. Using ANFIS tool box, the obtained mean of squared error (MSE) for training data set in the current paper is 0.031. We also have present the simulation experiments using MATLAB, showing that ANFIS consistently perform better results to navigate the mobile robot safely in a terrain populated by stationary obstacles.

关键词： Mobile robots Navigation Robot sensing systems Wheels Adaptive systems Firing

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Structure of the updated ANKE DAQ system

Structure of the updated ANKE DAQ system

引用

ieee NPSS Conference on Real Time

作者： P. Wustner A. Ackens W. Erven G. Kemmerling H. Kleines W. Loevenich R. Schleichert S. Mikirtytchiants S. Trusov Forschungszentrum Jülich GmbH Germany

The three big experiments at the cooler synchrotron COSY in Juelich (ANKE, WASA and TOF) permanently require an improvement of their data aquisition systems. We will use ANKE as an example for the overall structure of these data aquisition systems und the improvements in the last years. We differentiate between three generations of our DAQ systems. The 1st is not used any more. The 2nd uses intel-compatible computers running NetBSD and 'dumb' crate controllers. The synchronisation was done with special PCI modules in the computers with point-to-point connections building a ring. The 3rd generation was introduced with the transfer of the WASA detector from Uppsala) to Julich. It uses special LVDS crates witch can be read out without any software overhead. It required a new synchronisation system consisting of LVDS modules only. ANKE now uses a mixture of the 2nd and 3rd generation in order to make use of some of the new features but still has to deal with old systems like FASTBUS which make it impossible to use the pure 3rd generation.

关键词： data acquisition Fastbus Detectors CAMAC Real time systems Optical computing Field programmable gate arrays Synchrotrons Control systems Operating systems

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Research on intelligent Scoring Algorithm for English Writing Quality Based on Machine Learning

Research on Intelligent Scoring Algorithm for English Writin...

引用

Electronic Communications, Internet of Things and Big data (ICEIB), International Conference on

作者： Miao Yu Harbin Normal University Harbin China

The main writing characteristics of advanced learners in sentences are studied using the complexity analyzer of two sentence method, random forest, and logical regression machine learning algorithm. The results show that the accuracy of scoring and detection of the high-level composition is high even with the complexity of the two-sentence method, while the writing texts of advanced learners are outstanding in terms of unit length, lexical complexity, and specific sentence structure. The five most prominent syntactic features are average sentence length, the average number of sub-words contained in each word, the average total length of sub-words, the number of complex verb phrases in each subject and subordinate word, and the average number of complex noun phrases in each subword. The research result can be used as a reference for improving English composition learning ability and machine evaluation systems of composition.

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Usability Study of a Virtual Reality-Based Ecological Battery for Memory Assessment: A Pilot Study 3

Usability Study of a Virtual Reality-Based Ecological Batter...

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3rd ieee International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024

作者： Mancuso, Valentina Arlati, Sara Saritas, Selen Naz Borghesi, Francesca Di Santo, Simona Gabriella Cavallo, Marco Pedroli, Elisa Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing - Stiima National Research Council of Italy - Cnr Italy University of Turin Department of Psychology Turin Italy Irccs Fondazione Santa Lucia Department of Clinical and Behavioral Neurology Roma Italy ECampus University Faculty of Psychology Novedrate Italy Irccs Istituto Auxologico Italiano Department of Geriatrics and Cardiovascular Medicine Milan Italy

ISBN: (纸本)9798350378009

The reliability and validity of conventional neuropsychological assessments have been called into question because they have a narrow ecological perspective. Traditional paper and pencil approaches frequently fail to accurately simulate real-world situations, which can result in possible misunderstandings of cognitive abilities. Virtual Reality and 360° videos offer potential remedies to these restrictions by offering immersive, lifelike environments for cognitive evaluations. The objective of this study is to assess the usability of the ecological and automated memory battery (V-MEB) which incorporates 360° movies and head-mounted displays. Eight participants were subjected to one memory tasks in a virtual city setting. Their feedback on usability was gathered using the System Usability Scale, Senior Technology Acceptance Model, Thinking Aloud Protocol, and the Independent Television Commission Sense of Presence Inventory (ITC-SOPI). The quantitative data demonstrated a high score for usability, however the qualitative data from TAP identified particular usability difficulties pertaining to interface design and interaction style. It is crucial to address these difficulties in order to enhance the user experience and effectiveness of cognitive evaluations that rely on virtual reality technology. © 2024 ieee.

关键词： Virtual environments

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Smart Grid vs. intelligent Grid;Artificial Intelligence Takes the Power System to the Next Level

Smart Grid vs. Intelligent Grid;Artificial Intelligence Take...

引用

Digital Twins and Parallel Intelligence (DTPI), ieee International Conference on

作者： Sahand Liasi Narges S. Ghiasi Ramtin Hadidi Holcombe Department of Electrical and Computer Engineering Clemson University Charleston SC USA

This paper discusses the concept of intelligent power systems, particularly the distinction between smart grids and intelligent grids. Smart grids represent a convergence of various energy technologies and communication systems, enabling multidomain interactions. However, in such a grid, humans are still the ultimate decision maker based on the gathered information. By adding artificial intelligence to the system, smart grids can be upgraded to intelligent grids. This article explores the cutting-edge methods and propositions of machine learning and artificial intelligence, and their influence on a plethora of smart grid applications, aiding their transition to truly intelligent grids. The piece highlights the surge in interest and rapid advancement in employing machine learning and AI techniques to effectively tackle technical obstacles across various facets of the smart grid. However, it notes unresolved issues meriting additional research, such as high-performance data processing for informed decision-making in large, intricate multi-energy systems, and lightweight solutions based on machine learning. Additionally, the article spotlights the potential of harnessing progressive computing and communication technologies such as edge computing, pervasive internet of things, and 5G wireless networks within the smart grid framework. Simulating smart grids requires overcoming challenges posed by the integration of diverse subsystems with varying time scales. Co-simulation is employed for these cases. This paper presents the state-of-the-art in simulating intelligent power systems and addresses challenges in applying co-simulation to test cases spanning various domains, including information and communication technology (ICT) and power systems. We anticipate that this study will serve as a launching pad for continued exploration and advancement in this burgeoning area of knowledge and practice.

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Towards the Practical Use of Qualitative Spatial Reasoning in Geographic Information Retrieval

Towards the Practical Use of Qualitative Spatial Reasoning i...

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International ieee Conference on intelligent systems, IS

作者： Alia I. Abdelmoty Philip Smart Baher A. El-Geresy Cardiff School of Computer Science Cardiff University UK Cardiff School of Computing University of Glamorgan UK

Geo-ontologies have a key role to play in the development of the geo-semantic Web, with regard to facilitating the search for geographical information and resources. They normally hold large amounts of geographic information and undergo a continuous process of revision and update to ensure their currency. Hence, means of ensuring their integrity are crucial and needed to allow them to serve their purpose. This paper proposes the use of qualitative spatial reasoning as a tool to support the development of a geo-ontology management system. Spatial integrity rules based on uniform and hybrid spatial reasoning are proposed for the automatic derivation of spatial relationships and for maintaining the spatial consistency of the geographic data. A framework for the representation of and reasoning over geo-ontologies is presented using the Web ontology language OWL and its associated reasoning tools. Spatial reasoning and integrity rules are represented using a spatial rule engine extension to the reasoning tools associated with OWL. To demonstrate the proposed approach, a case study showing a prototype geo-ontology and the implementation of the spatial reasoning engine is presented. This work is a step towards the realisation of a complete geo-ontology management system for the semantic Web

关键词： Information retrieval OWL Search engines Ontologies Error correction Geographic Information systems intelligent systems Maintenance Quality management Prototypes

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Wireless ad-hoc control networks

Wireless ad-hoc control networks

引用

ieee International Conference on Industrial Informatics (INDIN)

作者： S. Bu F. Naghdy School of Electrical Computer and Telecommunication Engineering University of Wollongong Wollongong Australia

A new concept called wireless ad-hoc control networks (WACNets), designed for distributed and remote monitoring and control is suggested in this work. Such systems represent the next stage in the evolution of distributed control and monitoring. WACNet explores a framework for organic, evolutionary and scalable method of integrating a large number of nodes with sensing and/or actuation, local intelligence and control, data processing and communication capabilities. The concept is introduced and the design of the network is presented. As an essential element in the operation of WACNet, service discovery developed for WACNet will be described and progress made so far will be reported.

关键词： Communication system control intelligent sensors Distributed computing Remote monitoring Ethernet networks Automatic control IEC standards Peer to peer computing Telecommunication control Computer networks

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Survey of Industrial Internet of Things (IIoT) in Industry Developments and advanced Techniques

Survey of Industrial Internet of Things (IIoT) in Industry D...

引用

Applied Artificial Intelligence and computing (ICAAIC), International Conference on

作者： P.Nikkila Paul T.Anita Jones Karunya Institute of Technology and Sciences (KITS) Coimbatore India

ISBN: (数字)9798350375190

ISBN: (纸本)9798350375206

Machine-to-Machine (M2M), Machine-to-System, Cyber Physical System, and intelligent systems play crucial role in shaping the IoT technologies. The visual representation of the real world is generated by continuously scanning and monitoring various technological components in real-time through a gateway. This capability facilitates self-management and self-reconfiguration of devices, ultimately improving the Quality of Service. The integration of cloud-based SCADA (Supervisory Control and data acquisition) and MES (Manufacturing Execution System) services creates a standardized interface across diverse technological layers. One of the most significant challenges preventing the growth of the Internet of Things (IoT) is the increasing expertise of malicious sectors in the field of hacking. To address this issue, security measures were incorporated from the outset, encompassing comprehensive solutions. This review work focuses on the significance of the Industrial Internet of Things (IIoT) within industrial sectors and offers a concise overview of the evolving technologies to the IIoT techniques.

关键词： Surveys Visualization Reviews SCADA systems Quality of service Real-time systems Manufacturing

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intelligent Evaluation Model of Precision Mobile Network Software Evaluation Accuracy

Intelligent Evaluation Model of Precision Mobile Network Sof...

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International Conference on Information systems and Computer Aided Education (ICISCAE)

作者： Biao Wan Chunmei Xu Wuhan Polytechnic Wuhan China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728194608

The existing intelligent evaluation models of the evaluation accuracy of mobile network software all have some disadvantages, such as poor evaluation accuracy and large evaluation error. Therefore, the intelligent evaluation model of fine mobile network software evaluation accuracy is put forward to study on the intelligent evaluation model of the evaluation accuracy of mobile network software. The data acquisition card is used to collect the evaluation data of fine mobile network software, and it is pre-processed by data checking and data cleaning. Based on the pre-processed data, Bootstrap sampling method is used to obtain the evaluation data. Based on the accurate evaluation data of fine mobile network software, this paper uses integrated learning algorithm to intelligently evaluate the accuracy of fine mobile network software evaluation. The intelligent evaluation of the accuracy of fine mobile network software evaluation is realized. The experimental results show that compared with the existing intelligent evaluation model for the accuracy of fine mobile network software, the intelligent evaluation model for the accuracy of fine mobile network software improves the evaluation accuracy and reduces the evaluation error. It fully shows that the intelligent evaluation model of fine mobile network software evaluation accuracy has better evaluation performance

关键词： Conferences Software algorithms data acquisition Interference Sampling methods Software Information systems

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