2021 International Symposium on Electrical, Electronics and Information Engineering最新文献_第9页

Substrate-Integrated-Waveguide Filters: Design, Measurements and Wave-based Modeling Procedure 基板集成波导滤波器:设计、测量和基于波的建模程序

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459112

M. Nedelchev, B. Stošić, N. Dončov

引用次数: 0

Variation Characteristics Analysis and Short-Term Forecasting of Load Based on CEEMDAN 基于CEEMDAN的负荷变化特征分析及短期预测

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459185

Peng Zhang, Min Wang

{"title":"Variation Characteristics Analysis and Short-Term Forecasting of Load Based on CEEMDAN","authors":"Peng Zhang, Min Wang","doi":"10.1145/3459104.3459185","DOIUrl":"https://doi.org/10.1145/3459104.3459185","url":null,"abstract":"With the development of the economy and the improvement of living standards of people, electricity consumption around the world has increased dramatically. However, the load that contains many components with different characteristics is affected by many factors. How to classify and extract load characteristics and improve the accuracy of load forecasting has become a focus of attention. Based on this, this paper proposes using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to decompose the load and get multiple components of different time scales. The hidden characteristics of each components of load are analyzed with the four characteristic indicators. Then, the Pearson coefficient is used to analyze the multi-scale correlation between the load components and the temperature, and at the same time decompose the temperature to dig deep relationship between the load components and the temperature components. Finally, we use the Least Squares Support Vector Machine Optimized by Particle Swarm Optimization (PSO-LSSVM) to forecasting each component of the load, and select the decomposed temperature as part of the input data of the load forecasting model. The forecasting results verify the advantages of the proposed method in the aspects of load characteristic analysis and improvement of load forecasting accuracy.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ROS2 Extension of Functionally and Temporally Correct Real-Time Simulation of Cyber Systems for Automotive Systems 汽车系统网络系统功能和时间正确实时仿真的ROS2扩展

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459137

Seong-Jong Park, Jin Choi, Sunjun Hwang, Chang-Gun Lee

引用次数: 2

Model Goodness of Fit for Virtual Commissioning Purposes Based on Fuzzy-inference System 基于模糊推理系统的虚拟调试模型拟合优度

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459173

Lukasz Glodek, Szymon Bysko, Witold Nocoń

{"title":"Model Goodness of Fit for Virtual Commissioning Purposes Based on Fuzzy-inference System","authors":"Lukasz Glodek, Szymon Bysko, Witold Nocoń","doi":"10.1145/3459104.3459173","DOIUrl":"https://doi.org/10.1145/3459104.3459173","url":null,"abstract":"This paper is concerned with goodness of fit evaluation for virtual commissioning modelling purposes. Our goal is to propose a coefficient that could take into consideration several commonly used methods and expert knowledge referring to model quality evaluation. In this paper we try to find an answer to the question whether the model is good from the virtual commissioning point of view and if it can be used in virtual commissioning. The aim of virtual commissioning is to create a simulation model of a plant. It is very useful and crucial from the modern automation point of view (especially Industry 4.0) owing to the fact that potential changes and upgrades can be tested before they are implemented to an existing process. It is a formidable challenge to introduce a method which allows to unambiguously decide whether the model could be used in virtual commissioning. In order to evaluate the goodness of fit, commonly used performance indices are NRMSE (Normalized Root Mean Square Error) and ME (Maximum Error). In this work the unique way of combining NRMSE and ME with fuzzy logic has been introduced. For evaluating the goodness of fit of a model we propose a coefficient that is based on Takagi-Sugeno-Kang fuzzy-inference system. The suggested method is flexible and well-suited for all kind of models and processes because of taking into consideration all aspects of a process. What is more, it also gives an easy way of applying expert knowledge into it.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127079533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Patch Analysis Method Based on Multi-firmware Comparison 基于多固件比对的补丁分析方法

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459122

Ruiqing Xiao, Yuefei Zhu, Anxiang Hu, Xiaoya Zhu, Shengli Liu

引用次数: 0

Sentiment Analysis Using AI: A Comparative Study Comparative Study of 5 Different Algorithms and Benchmarking Them with A Qualitative Analysis of Training time, Prediction time, and Accuracy 5种不同算法的比较研究，并对它们进行基准测试，对训练时间、预测时间和准确性进行定性分析

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459165

J. Biswas, M. Haid, Ishak Boyaci, Indrashis Nath, Bharat Hegde, Oliver Janssen, Oliver Kohl, Andreas Minarski

{"title":"Sentiment Analysis Using AI: A Comparative Study Comparative Study of 5 Different Algorithms and Benchmarking Them with A Qualitative Analysis of Training time, Prediction time, and Accuracy","authors":"J. Biswas, M. Haid, Ishak Boyaci, Indrashis Nath, Bharat Hegde, Oliver Janssen, Oliver Kohl, Andreas Minarski","doi":"10.1145/3459104.3459165","DOIUrl":"https://doi.org/10.1145/3459104.3459165","url":null,"abstract":"Sentiment analysis also called Opinion Mining has been one of the most ancient topics in Natural Language Processing (NLP). NLP which is a subfield of AI enables machines to read, understand, interpret and manipulate human languages. The netizens often express their sentiments through tweets, reviews and ratings. Therefore, it's becoming increasingly popular to analyse these sentiments for commercial applications such as market analysis, product reviews, customer services and many more. This analysis can either be lexicon-based or machine learning-based. Lexicon-based techniques use dictionaries of words, which is then used to calculate a score for the polarity. Machine learning-based classifiers use a dataset to train a model which is used to find the sentiment of a sentence or a paragraph. ML-based approaches are more robust compared to the lexicon-based approach. The main contribution of this paper is to demonstrate the performance of various Machine Learning and Deep Learning models in Sentiment Analysis. In this paper, various models viz. Multinomial Naive Bayes(MNB), Support Vector Machine(SVM), Hidden Markov Model(HMM), Long Short Term Memory(LSTM) and Bidirectional Encoder Representations from Transformers(BERT), are trained through supervised learning, and then they are benchmarked through a qualitative analysis of accuracy, effectiveness and speed to provide an extensive overview of the various algorithms used in the field. The performance comparison of the various models presents an in-depth understanding of the different techniques within the framework of a comprehensive evaluation and discussion.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130792040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Improved Hybrid Method Combining Backtracking with Pencil and Paper for Solving Sudoku Puzzles 一种改进的将回溯与纸笔结合的数独混合解法

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459176

Adiba Afif Suha Binta Wadud, M. Abdullah-Al-Wadud

引用次数: 2

User as a Super Admin: Giving the End-Users Full Control to Manage Access to Their Data in Social Media Networks 用户作为一个超级管理员:给最终用户完全控制管理访问他们的数据在社交媒体网络

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459204

M. Awad, Raneen Al-karaki, Doaa Idais

{"title":"User as a Super Admin: Giving the End-Users Full Control to Manage Access to Their Data in Social Media Networks","authors":"M. Awad, Raneen Al-karaki, Doaa Idais","doi":"10.1145/3459104.3459204","DOIUrl":"https://doi.org/10.1145/3459104.3459204","url":null,"abstract":"With the huge expansion of social media networks, they become an important part of users’ daily life everywhere, where users have large amount of data stored in these networks. these networks provide users with the tools and settings to control their privacy and security. Even though these settings give the users control over how to manage access to their data, they remain according to the specifications of the network providers rather than the user himself/herself. Role-based Access Control (RBAC) is a method used widely in managing user authorizations and restrictions in computer systems. In this paper we suggest an RBAC system called Grant, that provides fine-grained access control to user data. This system is also pluggable and can be used with any existing system or social network. Grant system gives the end user the full control to manage access to their data and create customs roles based on their needs. The system has a user interface to enable users to define roles and permissions over their resources inside social media networks. We show that our system Grant, can be used to create custom RBAC policies easily, and it can be used with other systems.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133812889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Construction of Agent Model Based on Emotional Interaction 基于情感交互的Agent模型构建

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459162

Yongbin Zhu, Wenshan Li, Tao Li, Hui Zhao

引用次数: 0

3D Moving Rigid Body Localization in the Presence of Anchor Position Errors 存在锚位误差的三维运动刚体定位

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459111

Lin Zha, Daqing Chen, Guangyu Yang

引用次数: 1