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检索条件"丛书名=Advances in Intelligent Systems and Computing"

共 33564 条记录，以下是1791-1800 订阅

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Construction of the English Teaching Model Based on the Interactive Network Streaming Media

Construction of the English Teaching Model Based on the Inte...

引用

International Conference on Cyber Security Intelligence and Analytics (CSIA)

作者： Zhi, Mao Ping, Wang Sichuan Vocat & Tech Coll Commun Chengdu 610000 Sichuan Peoples R China Chengdu Aeronaut Polytech Chengdu 610000 Sichuan Peoples R China

ISBN: (纸本)9783030152352;9783030152345

There are limitations in the time, regions and contents in the traditional English teaching, and there are some limitations in the traditional multimedia network teaching. The design of the English teaching mode based on the interactive network streaming media has brought a profound change to the English teaching. As the interactive network streaming media provides a good platform for people's communication, the role of teachers in the English teaching based on the interactive network streaming media is no longer the "leader" of the teaching, but the "guide" of the teaching. Teachers provide the hardware conditions, the learning resources and the communication objects. Students can choose their own way of learning. When they encounter problems, they can consult their teachers or their friends through the network streaming media platform.

关键词： Interactive Online streaming media English teaching mode Construction mechanism

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The Functional Design Method for Public Buildings Together with Gamification of Information Models Enables Smart Planning by Crowdsourcing and Simulation and Learning of Rescue Environments

The Functional Design Method for Public Buildings Together w...

引用

intelligent systems Conference (IntelliSys)

作者： Selin, Jukka Rossi, Markku South Eastern Finland Univ Appl Sci Ltd Patteristonkatu 2 Mikkeli 50100 Finland

ISBN: (纸本)9783030295134;9783030295127

We have developed and piloted a method that can be used to create planning and learning environments that fuse buildings design with game programming. The method also allows e.g. to design and different simulations of building usage (like emergency evacuation by rescue teams). The method also brings together the students of game programming and buildings design with building users and construction professionals to work together towards mutual goals. This way they all learn in addition to group work to act in projects with students, building users and professionals of many disciplines. This is increasingly a key skill in the modern work life that relies heavily on projects. In this environment it is important for the actors to learn how to understand and appreciate the specialists of other disciplines and their professional skills. The gamified information model of a building can be used after its completion as a learning and testing space for the construction professionals. In the gamification we utilize our patented Functional Design Method for Buildings that enables to take into account the space needed for human actions in buildings or other targets under design in information model based (BIM) design of buildings. The objects to be dimensioned could e.g. be related to safety, loading and unloading areas or production processes and their requirements for space. An inverse approach is also possible. The method helps all actors of construction business, building users and students to better take into account and understand operational spatial requirements in a building and about safety.

关键词： BIM AI Multi-gaming Gamification Crowdsourcing Simulation Learning Learning environment Function dimensioning Universal design Barrier free Energy efficiency

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Smart Surveillance System for Detection of Suspicious Behaviour Using Machine Learning

Smart Surveillance System for Detection of Suspicious Behavi...

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Conference on intelligent computing, Information and Control systems (ICICCS)

作者： Joshi, Aastha Jagdale, Ninad Gandhi, Rajvi Chaudhari, Sheetal Sardar Patel Inst Technol Dept Informat Technol Mumbai 400058 Maharashtra India

ISBN: (纸本)9783030304652;9783030304645

A method for detecting suspicious behaviour and activities in live surveillance is presented in the following paper. Recent works in the field of convolutional neural networks have shown considerable progress in the areas of object detection and recognition, especially in images. Labels are required as learning signals in the convolutional neural networks. The proposed method finds difference between two consecutive video frames in order to find the motion history image by eliminating the use of labels. We detect suspicious behaviour in videos and live surveillance using a spatiotemporal architecture. The architecture for prediction of video frames is based on convolutional neural networks. Classification of normal and abnormal behaviour is attained for most of the scenarios. An anomalous batch of frames within the videos is identified and an alarm is generated to alert people about the malicious activities. In this way, they can be prevented on the spot instead of taking action later.

关键词： Machine learning Classification Convolutional neural networks Training Unsupervised learning Suspicious behaviour Anomaly detection

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Algorithms for Topological Analysis of Spatial Data 2nd

Algorithms for Topological Analysis of Spatial Data

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2nd International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE)

作者： Eremeev, Sergey Seltsova, Ekaterina Vladimir State Univ Vladimir Russia

ISBN: (纸本)9783030120825;9783030120818

The analysis of spatial relations and the search for abstract structures are some of the main tasks of geoinformatics. Huge arrays of spatial information contain hidden abstract structures. Existing methods of clustering do not take into account topological features of spatial objects. It is necessary to create new algorithms for finding regularities in the set of objects on the map. Algorithms for selecting abstract spatial structures based on topological data analysis are developed in the article. The developed algorithms allow us to find common structures in a set of unrelated spatial data. The algorithms for collecting spatial information from point and polygonal objects are also developed in the article. These algorithms allow us to present the initial information for processing by methods of persistent homology. An algorithm for constructing a barcode using simplicial complexes is shown. The study includes topological analysis of point and contour objects. An original approach for searching for repeating structures in a set of randomly distributed spatial objects is shown. Information about the repeating structures is calculated from the barcode. Computer modeling to analyze the structure of a sequence of objects with deformation is demonstrated. Examples for determining the similarity of natural spatial objects based on information from the barcode are given.

关键词： Topological data analysis Spatial objects GIS

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Sentiment Classification of User Reviews Using Supervised Learning Techniques with Comparative Opinion Mining Perspective

Sentiment Classification of User Reviews Using Supervised Le...

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Computer Vision Conference (CVC)

作者： Khan, Aurangzeb Aurangzeb Younis, Umair Kundi, Alam Sher Asghar, Muhammad Zubair Ullah, Irfan Aslam, Nida Ahmed, Imran Univ Sci & Technol Dept Comp Sci Bannu Pakistan Gomal Univ Inst Comp & Informat Technol Dera Ismail Khan KP Pakistan Imam Abdulrahman Bin Faisal Univ Coll Comp Sci & Informat Technol Dept Comp Sci Dammam Saudi Arabia Univ Peshawar IMS Peshawar Pakistan

ISBN: (纸本)9783030177980;9783030177973

Comparative opinion mining has received considerable attention from both individuals and business companies for analyzing public feedback about the competing products. The user reviews about the different products posted on social media sites, provide an opportunity to opinion mining researchers to develop applications capable of performing comparative opinion mining on different products. Therefore, it is an important task of investigating the applicability of different supervised machine learning algorithms with respect to classification of comparative reviews. In this work different machine learning algorithms are applied for performing multi-class classification of comparative user reviews into different classes. The results show that Random Forest outperforms amongst all other classifiers used in the research.

关键词： Comparative opinion mining Machine learning algorithms Sentiment analysis Sentiment classification Supervised machine learning

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Employing Machine Learning Models to Solve Uniform Random 3-SAT

Employing Machine Learning Models to Solve Uniform Random 3-...

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International Conference on computing, Power, and Communication Technologies (GUCON)

作者： Atkari, Aditya Dhargalkar, Nishant Angne, Hemali Mumbai Univ MCTs Rajiv Gandhi Inst Technol Mumbai 400053 Maharashtra India

ISBN: (纸本)9789811501326;9789811501319

We have employed a chosen set of machine learning models to solve the 3-CNF-SAT problem. Through f1-scores, we obtain how these algorithms perform at solving the problem as a classification task. The implication of this endeavour is exciting given the property of the NP-complete class problems being polynomial-time reducible to each other.

关键词： NP-completeness SAT 3-CNF-SAT Machine learning Classification SATZilla features TensorFlow

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Scalability and Parallelization of Sequential Processing: Big Data Demands and Information Algebras

Scalability and Parallelization of Sequential Processing: Bi...

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International Symposium on Computer Science, Digital Economy and intelligent systems (CSDEIS)

作者： Golubtsov, Peter Lomonosov Moscow State Univ Moscow Russia Natl Res Univ Higher Sch Econ Moscow Russia Russian Inst Sci & Tech Informat VINITI RAS Moscow Russia

ISBN: (纸本)9783030392161;9783030392154

Procedures of sequential updating of information are important for "big data streams" processing because they avoid accumulating and storing large data sets. As a model of information accumulation, we study the Bayesian updating procedure for linear experiments. Analysis and gradual transformation of the original processing scheme in order to increase its efficiency lead to certain mathematical structures - information spaces. We show that processing can be simplified by introducing a special intermediate form of information representation. Thanks to the rich algebraic properties of the corresponding information space, it allows unifying and increasing the efficiency of the information updating. It also leads to various parallelization options for inherently sequential Bayesian procedure, which are suited for distributed data processing platforms, such as MapReduce. Besides, we will see how certain formalization of the concept of information and its algebraic properties can arise simply from adopting data processing to big data demands. Approaches and concepts developed in the paper allow to increase efficiency and uniformity of data processing and present a systematic approach to transforming sequential processing into parallel.

关键词： Big data streams Sequential Bayesian updating Information spaces Algebra of information Distributed processing

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Effective Teaching Design Scheme for Network Troubleshooting

Effective Teaching Design Scheme for Network Troubleshooting

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International Conference on Cyber Security Intelligence and Analytics (CSIA)

作者： Yin, Xiaoqi Heilongjiang Coll Business & Technol Harbin 150025 Heilongjiang Peoples R China

ISBN: (纸本)9783030152352;9783030152345

With the increasing demand for application-oriented talents in society, the specialized training of network engineering talents has become a growing concern in application-oriented colleges. This paper analyzes the principle of effective teaching, based on the network engineering skill course, deeply studies the network troubleshooting method and network fault classification technology. Through the integration of network troubleshooting courses and effective teaching, practical and effective teaching cases are formed. In the actual teaching, the program is actively applied to the practical teaching to improve the teaching effect, and it also provides a reference for the curriculum construction of other specialties.

关键词： Network failure Effectivity teaching Applied undergraduate course

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Implementation of Teaming Behavior in Unmanned Aerial Vehicles 3rd

Implementation of Teaming Behavior in Unmanned Aerial Vehicl...

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3rd International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Dudek, Marius Lindner, Sebastian Schulte, Axel Univ Bundeswehr Munich Inst Flight Syst Werner Heisenberg Weg 39 D-85577 Neubiberg Germany

ISBN: (纸本)9783030395124;9783030395117

Research in manned-unmanned teaming (MUM-T) addresses the integration of manned and unmanned vehicles within a team. The concept of task-based guidance has been proven to reduce the human pilot's workload in a MUM-T mission in multiple experiments. In addition to the automated execution of tasks, a mission requires the cooperation between the UAVs in order to increase survivability and mission performance. In this contribution, we describe the implementation of team support for UAVs guided from the cockpit of a manned combat fighter. The implemented agent uses its spare time to escort the team member with the highest priority task. The presented approach was integrated into the MUM-T research simulator at the Institute of Flight systems and the effects of the implemented teaming behavior on mission effectiveness parameters were analyzed in two scenario simulations.

关键词： Human-autonomy teaming Unmanned aerial vehicles Cognitive agent Agent teaming Soar cognitive architecture

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Implementing and Evaluating the Performance Metrics Using Energy Consumption Protocols in MANETs Using Multipath Routing-Fitness Function

Implementing and Evaluating the Performance Metrics Using En...

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International Conference on Cognitive Informatics and Soft computing (CISC)

作者： Monika, P. Rao, P. Venkateswara Premkumar, B. C. Mallick, Pradeep Kumar EWIT Dept CSE Bangalore Karnataka India VBIT Hyderabad Dept ECE Hyderabad TS India NNRG Hyderabad Dept ECE Hyderabad TS India Kalinga Inst Ind Technol KIIT Deemed Univ Sch Comp Engn Bhubaneswar Odisha India

ISBN: (纸本)9789811514517;9789811514500

The energy consumption plays a key role in mobile ad hoc networks in a day-to-day life. Mobile ad hoc network (MANET) structure is a temporary network organized dynamically with a possible family of wireless mobiles independent of any extra infrastructural facilities and central administration requirements. In addition, it provides the solution to overcome the minimal energy consumption issues. Nodes are battery-operated temporarily does not operated on permanent batteries, so energy consumed by a battery depends on the lifetime of the battery and its energy utilization dynamically decreases as the nodes change their position in MANETs. Multipath routing algorithm in MANETs provides the best optimal solution to transmit the information in multiple paths to minimize the end-to-end delay, increases energy efficiency and moderately enhances the lifetime of a network. The research mainly focused on minimum energy consumption techniques in MANET is of a great challenge in industries. In this paper, the author highlights a novel algorithmic approach ad hoc on-demand multipath distance vector (AOMDV) routing protocol to increases the energy efficiency in MANET by incorporating the demand multipath distance and fitness function. The ad hoc on-demand multipath distance vector-fitness function (AOMDV-FF) routing protocol short out minimum distance path that consumes minimum energy and the simulation performance is evaluated using network simulator-2 (NS2) tool. Two protocols are proposed in this work AOMDV and AOMDV-FF and compared some of the performance parameters, like energy efficiency, network lifetime and routing overhead in terms of data transfer rate, data packet size and simulation time, etc. The overall simulation results of the proposed AOMDV-FF method is to be considered as a network with 49 nodes and the network performance factor end-to-end delay 14.4358 ms, energy consumption 18.3673 joules, packet delivery ratio 0.9911 and routing overhead ratio 4.68 are evalu

关键词： Energy efficiency MANET Multipath routing Fitness function Packet delivery ratio Throughput

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