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The display and dissemination of Qiantang River poetry road culture based on Virtual Reality and Human-computer Interaction 2

The display and dissemination of Qiantang River poetry road ...

引用

2nd international conference for Information Systems and Design (ICID)

作者： Fan, Zizhen Dai, Rui Xu, Yiyi Wang, Xiaoyi Chen, Shanshan Zhejiang Tongji Vocat Coll Sci & Technol Hangzhou Peoples R China

ISBN: (纸本)9781665420655

Qiantang River Poetry Road has rich literary aesthetics and profound cultural connotations. The display and dissemination of its culture is of great significance for shaping the city's characteristics, publicizing the city's image, and promoting Chinese culture. However, many foreign tourists come to Zhejiang to travel due to lack of tour guides and other reasons. They can only watch the natural and humanistic scenery in a fancy way, but it is difficult to appreciate the spiritual connotation of the poetry road culture. From the perspective of virtual reality (VR), this paper develops a display and display that combines visual, auditory, and tactile senses through three-dimensional modeling, simulation algorithms, graphics rendering, virtual humans, multi-modal interaction, mini-map navigation and other VR technologies. The VR system to spread the culture of Qiantang River Poetry Road: The poetry soul is the companion, and you can enjoy the Qianjiang River. The system gives full play to the advantages of VR's high immersion and high interaction, and integrates more than a hundred ancient poems into various scenes of Qiantang Poetry Road. In VR, users can freely roam the ancient and modern Qiantang River basin in the first person, interacting with the virtual person "Soul of Poetry" as a virtual tour guide, the virtual poet who left the poem, and the local virtual people. After the user's test, the system can provide a relaxing, realistic and interesting roaming experience, which provides the possibility of digital display and dissemination for the promotion of the city's image.

关键词： Virtual Reality Qiantang River Poetry Road Culture Virtual person Roaming technology

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Target Track Recognition from Few-Labeled Radar Data with Outliers 2nd

Target Track Recognition from Few-Labeled Radar Data with Ou...

引用

2nd international conference on Urban Intelligence and Applications, ICUIA 2020

作者： Fan, Yuqi Shen, Guangming Yuan, Xiaohui Xu, Juan School of Computer Science and Information Engineering Hefei University of Technology HefeiAnhui230601 China Department of Computer Science and Engineering University of North Texas DentonTX76203 United States

ISBN: (纸本)9789813346000

The frequent occurrence of "black flying" and illegal invasion make it necessary to identify radar target tracks. Existing research on the radar flight target mainly focuses on the target identification. Existing research on the recognition of target track types ignores the impact of outliers in the track data and the small number of labeled data on the target track type recognition performance. In this paper, we propose a target Track Recognition algorithm based on a Semi-Supervised approach for few-labeled radar target track data with outliers (TRSS). We first remove the outliers and fill in the missing track points caused by the outlier removal. We then extract five basic flight features (BFFs) and an advanced flight feature (AFF) from the track data to obtain a strong recognition flight feature combination (SRFFC). Finally, a semi-supervised generative adversarial network (SSGAN) model is constructed to classify flight target tracks using SRFFC as the input. simulation results show that the proposed algorithm TRSS can effectively improve the accuracy, precision, and recall performance of target track type recognition. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Generative adversarial networks

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Predictive modeling to Predict the Residency of Teachers Using Machine Learning for the Real-Time 2nd

Predictive Modeling to Predict the Residency of Teachers Usi...

引用

2nd international conference on Futuristic Trends in Networks and Computing Technologiess, FTNCT 2019

作者： Verma, Chaman Illés, Zoltán Stoffová, Veronika Eötvös Loránd University Budapest Hungary Trnava University Trnava Slovakia

ISBN: (纸本)9789811544507

To support the identification system of demographic features of educators, residential place is an essential feature and the machine learning techniques play a vital role to predict the residential place of educators based on their responses provided. This paper shows the predictive model to predict the residency of Indian university teachers concerning Information and Communication Technology (ICT) awareness with three algorithms Support Vector Machine (SVM), Multilayer Perceptron (MLP), Random Forest (RF). There are four different experiments are conducted on the primary dataset with 344 instances and 35 features. These Machine learning (ML) algorithms used three different testing procedures like training ratio, k-fold Cross-Validation (CV) and Leave one out. A statistical t-test is also applied to compare the time of prediction by each algorithm. The consequences of the first three experiments shown that the RF algorithm outperformed others in the prediction of the residency of teachers. The findings of the fourth experiment revealed that SVM’s CPU user time significantly differs from others. The authors recommended the RF model to be positioned as a real-time model cause of the highest accuracy of 72.8% with moderate prediction time 0.12 s. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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The hybrid grey wolf optimization-slime mould algorithm 2

The hybrid grey wolf optimization-slime mould algorithm

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2020 2nd international conference on Electronic Engineering and Informatics, EEI 2020

作者： Gao, Zheng-Ming Zhao, Juan Yang, Yu Tian, Xue-Jun School of Computer Engineering Jingchu University of Technology Hubei China School of Electronics and Information Engineering Jingchu University of Technology Hubei China School of Literature and Communication Jingchu University of Technology Hubei China

In this paper, we hybridize the grey wolf optimization (GWO) algorithm with the newly proposed slime mould algorithm (SMA). Comparisons had been made and three kinds of benchmark functions were introduced to verify the capability. 100 Monte Carlo simulation experiments had been carried on to reduce the influence of randomness as less as possible. Results showed that the performance of hybrid GWO-SMA would base on the given characteristics of problems themselves because of the random threshold parameter p and the multiple branches in the updating equation. The hybridization of the GWO and SMA might be not recommended for steady applications and engineering problems. © Published under licence by IOP Publishing Ltd.

关键词： Monte Carlo methods

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Weighted network community division based on co-neighbor nodes and similarity 2

Weighted network community division based on co-neighbor nod...

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2019 2nd international conference on computer Information Science and Artificial Intelligence, CISAI 2019

作者： Xiaoxia, L.U.O. Xin, S.U.N. Xiangyu, L.U.O. Yunzhong, L.U.O. College of Computer Science and Technology Xi'An University of Science and Technology Xi'an Shanxi710054 China College of Atmospheric Sciences Nanjing University Nan'jing Jiangsu210046 China

In order to realize the accuracy of weighted network community division, based on the analysis of existing weighted network community dividing algorithm, a community dividing algorithm based on co-neighbor nodes and similarity is proposed. Firstly, the similarity between nodes is defined, and the weight of the edge is added to the local modularity function. Secondly, the Burt structural hole principle is used to select the important nodes. Then, the local clustering method is used to continuously expand the community. Finally, the judgment is made. The change of the Local modularity determines whether to continue the clustering, so as to obtain a more accurate result. Experiments on the simulation dataset and Zachary's Karate club dataset show that compared with the CRMA algorithm, the algorithm is effectively improved in weighted network division time and accuracy. © Published under licence by IOP Publishing Ltd.

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Design of Phishing simulation Dashboard Using Analytic Data Concepts 2

Design of Phishing Simulation Dashboard Using Analytic Data ...

引用

2nd international conference on Electronics Representation and algorithm: Innovation and Transformation for Best Practices in Global Community, ICERA 2019

作者： Septiana, R. Julian, R.K. Dept. of Computer Engineering Universitas Diponegoro Semarang Indonesia

Security awareness is the main concern of phishing attack prevention. Every internet user will deal with a serious issue. Phishing is the falsification of messages that aims to retrieve important information from the recipient of the message. In a company, phishing becomes a serious problem because it can come to all employees suddenly. Employees who do not understand the dangers of phishing are the most dangerous threats because they are likely to be the main supporters of the success of phishing attacks. Understanding of phishing attack can be seen from the way the worker responds to incoming messages. A company makes a phishing simulation to find out the handling of the employee on a fake message came. One of the phishing simulation tools is web forgery. In this research, phishing simulations attack every employee in a company. The employee will receive a message that contains a field. The result will show a percentage of employee that successfully attacked. The results will be displayed on a dashboard after being processed using an analytic data concept. The processes of data analytic involve business intelligent software called QlikView. The software gives a percentage of the employee who opens the fake message and fills some data in the fields is about 13.9%. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Personnel

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An effective scheduling algorithm for wireless sensor network with adjustable sensing range 2nd

An effective scheduling algorithm for wireless sensor networ...

引用

2nd international Cognitive Cities conference, IC3 2019

作者： Chen, Po-Hsun Chiu, Tai-Lin Fan, Chun-Hung Chen, Huan Tsai, Chun-Wei Computer Science and Engineering National Chung Hsing University Taichung City Taiwan Computer Science and Engineering National Sun Yat-sen University Kaohsiung City Taiwan

ISBN: (纸本)9789811561122

Due to limited energy on sensor nodes, how to achieve a longer lifetime for the WSN has become an essential issue in recent years. Among them, an effective scheduling algorithm can also be regarded as an essential strategy to prolong the lifetime of the entire WSN. Different to most recent studies which only take into account the fixed sensing range of wireless sensors, this study proposed a novel scheme that is designed based on an effective scheduling and a dynamic power control method. The scheduling algorithm can determine which sensors should be turned on, while the power control scheme may dynamically adjust the power levels (sensing range) to enhance the performance of WSN. The salient feature of the proposed algorithm resides in that the proposed search economics based metaheuristic algorithm will divide the solution space into a set of subspaces to search and it will calculate the number of searches for each subspace based on their potential to allocate the computation resource during the convergence process. The simulation results showed that the proposed method is able to significantly extend the lifetime of WSN under the constraint of full-coverage compared with other search algorithms mentioned in this paper. © Springer Nature Singapore Pte Ltd 2020.

关键词： Scheduling algorithms

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Analysis of t-distribution in Variable Step Size Firefly algorithm in the Applications of Machine Learning 1

引用

2nd international conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy, ETAEERE 2020

作者： Sarangi, Shubhendu Kumar Sarangi, Archana Department of Electronics and Instrumentation Engineering ITER Siksha ‘O’ Anusandhan deemed to be University Bhubaneswar Odisha India Department of Computer Science and Engineering ITER Siksha ‘O’ Anusandhan deemed to be University Bhubaneswar Odisha India

ISBN: (数字)9789811587528

ISBN: (纸本)9789811587511

The firefly algorithm in the field of swarm intelligence is recognized as one of the widely demanded algorithm for machine learning applications. This algorithm is inspired by natural leaving pattern of firefly. This algorithm is modified by several researchers for getting better exploration of solution space for various applications. In all these modifications the variable step size firefly algorithm is gathering popularity in the field of machine learning because of its simplicity in modification. In this paper, this modified version is further enhanced by the addition of t-distribution function. This newly proposed version helps in the improvement of exploration along with the exploitation of the searched space to generate better solutions. simulation of the novel projected version is done with standard benchmarking functions to prove the enhancement in the solution. The analysis of results proves the betterment of the solution in a variety of cases. This approach of modification can be utilized for applications in machine learning. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Distribution functions

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Space simulation and Environment Construction of Urban Public Facilities Based on VR Technology 2

Space Simulation and Environment Construction of Urban Publi...

引用

2nd international conference on computers, Information Processing and Advanced Education, CIPAE 2021

作者： Li, Jingjing Gan, Xiang Li, Mengjuan Zhang, Ke School of Art and Design Chuzhou University Anhui China

ISBN: (纸本)9781665426657

Virtual reality technology can provide the public with an immersive sense of participation, promote the public's cognition and evaluation of urban design, and has application value in the field of public participation in urban design. However, there are still some problems in the application of VR in public participation in urban design, such as the weak theoretical basis, which limits its application and promotion. The purpose of this study is to supplement the research on the theoretical basis and application methods of VR application in the field of public participation in urban design, try to build a method with theoretical basis, which can meet the two-way balance of public participation, and guide the effective application of VR in the field of public participation in urban design. VR can support the public to recognize the meso and micro scale content of urban design, and has the advantages of cognition, evaluation and mobilization of participation enthusiasm. This paper summarizes the rules of VR application in public participation in urban design, and verifies some application rules through public participation experiments. © 2021 IEEE.

关键词： computers Solid modeling Education Decision making Virtual reality Information processing computer architecture

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The Chaotic Slime Mould algorithm with Chebyshev Map 2

The Chaotic Slime Mould Algorithm with Chebyshev Map

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2nd international conference on Artificial Intelligence and computer Science, AICS 2020

作者： Zhao, Juan Gao, Zheng-Ming School of Electronics and Information Engineering Jingchu University of Technology Jingmen448000 China School of Computer Engineering Jingchu University of Technology Jingmen448000 China

In this paper, we proposed an improvement for the newly raised swarm-based algorithm called the slime mould algorithm (SMA) with chaos. The so-called chaotic SMA introduced the specific Chebyshev mapping, which had already been verified to perform better in optimization. Three types of simulation experiments were carried out with the unimodal, multi-modal benchmark functions and those which have basins/valleys in their profiles. In order to reduce the influence of randomness involved in the algorithms, 100 Monte Carlo experiments were carried out and the final results were their averages. Results confirmed the capability of the improvements and demonstrated that the chaotic SMA with Chebyshev map would perform better, steadier, and faster than the original one in optimization. Discussions on the capability in optimization of the chaotic SMA together with the original SMA were made, and the chaotic SMA was recommended in applications for real engineering problems. © Published under licence by IOP Publishing Ltd.

关键词： Molds

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