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42nd Chinese control Conference, CCC 2023

作者： Shi, Panfeng Song, Shifan Lang, Qi Liu, Xiaodong School of Control Science and Engineering Dalian University of Technology Dalian116024 China School of Computer Science and Information Technology Northeast Normal University Changchun130117 China

ISBN: (纸本)9789887581543

As the economy continues to develop and the futures market grows, more and more attention is being paid to the subject of futures price forecasting. The factors influencing the futures market are complex, and the existing forecasting models tend to ignore the acquisition of information other than market information. Therefore, this paper proposes a futures price forecasting model based on sentiment analysis of online public opinions. Several futures products are selected for training and validation of the model, and the Chinese posts in the futures bar are used as input for public opinion, which is processed by the investor sentiment analysis fusion module to obtain sentiment values as a priori information for the task. Three groups of control experiments are set up to verify the validity of the proposed model and to compare the effect of sentiment feature fusion. Finally, the experimental results show that the proposed model incorporating public opinion gets better results in the selected futures product price prediction task. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Time series analysis

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Joint estimation of non-coherent target returns for MIMO radar

Joint estimation of non-coherent target returns for MIMO rad...

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2013 47th Asilomar Conference on Signals, Systems and computers

作者： Rowe, William Ojowu, Ode Li, Jian Stoica, Petre Department of Electrical and Computer Engineering University of Florida Gainesville FL 32611 United States Department of Information Technology Division of Systems and Control Uppsala University Uppsala Sweden

ISBN: (纸本)9781479923908

In signal processing applications such as wideband beamforming or multiple-input multiple-output systems, the parameters we wish to estimate can occur in groups. These groups are defined by the system design and known a priori. However, the parameters within the group are often not phase coherent, therefore the standard method is to non-coherently integrate the appropriate groups to maximize signal power. In this paper, we modify the iterative adaptive approach (IAA) algorithm to the Group IAA algorithm to improve the estimation of the noncoherent parameters. The performance improvement is measured via numerical simulations. © 2013 IEEE.

关键词： MIMO radar

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Seasonal characteristics analysis and uncertainty measurement for wind speed time series

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Energy engineering: Journal of the Association of Energy engineering 2020年第5期117卷 289-299页

作者： Deng, Xing Shao, Haijian Wang, Xia School of Computer Science Jiangsu University of Science and Technology Zhenjiang212003 China School of Automation Key Laboratory of Measurement and Control for CSE Ministry of Education Southeast University Nanjing210096 China School of Information Science and Technology Nantong University Nantong226019 China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore

Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nat-ure. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and iden-tically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably divide the original dataset and effectively reflect the seasonal distribution characteristics. Experimental evaluation based on the dataset from National Renewable Energy Laboratory (NREL) is given to demonstrate the performance of the proposed approach. © 2020, Tech Science Press. All rights reserved.

关键词： Wind speed

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Performance evaluation of CFB unit combustion system based on comprehensive economics and entropy weight method

Performance evaluation of CFB unit combustion system based o...

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2019 International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2019

作者： Qin, Ce Gao, Mingming Zhang, Hongfu North China Electric Power University State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources School of Control and Computer Engineering Beijing China

ISBN: (纸本)9781728101996

performance evaluation method for the combustion system in the variable load process of circulating fluidized bed (CFB) unit based on the minimum variance control is proposed. Each operating parameter are initially weighted according to the dynamic economic index of the operating parameters, and entropy weight method is used to adjust the weights of operating parameter under different operating conditions. Then, the minimum variance index based on comprehensive economic and entropy weight method is proposed to evaluate the performance of the combustion system of CFB unit, which reduces the polarization effect generated by the single weighting performance evaluation method and improves the objective scientificality of the operating parameter weighting. Finally, a case study on the combustion system of a 300MW CFB unit reveals that the minimum variance index based on the comprehensive economy and entropy weight method can better evaluate the performance of the combustion system in the dynamic process of the unit, compared with the traditional performance evaluation method. It is of great significance to the operational safety and economy of CFB boiler units. © 2019 IEEE.

关键词： Economics

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Investigation of Factors, Affecting the Behaviour of Id-Vg Shift in MOSFET 6

Investigation of Factors, Affecting the Behaviour of Id-Vg S...

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6th International Youth Conference on Radio Electronics, Electrical and Power engineering, REEPE 2024

作者： Chukhraev, Igor V. Drach, Vladimir E. Bauman Moscow State Technical University Computer Science and Control Department Moscow Russia Sochi State University Department of Innovative Engineering and Digital Technologies Sochi Russia

ISBN: (纸本)9798350382891

This article investigates the I-V hysteresis (IVH) phenomenon in MOSFETs and the factors affecting it. The study focuses on the effects of oxide traps, interface traps, and 'border traps' on metal-oxide-semiconductor devices. The current paper also discusses a comprehensive method for separating the effects of interface traps and trapped oxide charge in metal-oxide-semiconductor transistors. According to the study border traps and bias-temperature instabilities in MOS devices are significant factors affecting IVH. The findings of this study can be useful in the MOSFET design and optimization of for various applications. © 2024 IEEE.

关键词： MOS devices

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S+T: An algorithm for distributed multirobot task allocation based on services for improving robot cooperation

S+T: An algorithm for distributed multirobot task allocation...

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2008 IEEE International Conference on Robotics and Automation, ICRA 2008

作者： Viguria, Antidio Maza, Ivan Ollero, Anibal School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States Robotics Vision and Control Group University of Seville 41092 Seville Spain

ISBN: (纸本)9781424416479

In this paper, we present a distributed market-based algorithm called S+T, which solves the multi-robot task allocation (MRTA) problem in applications that require the cooperation among the robots to accomplish all the tasks. If a robot cannot execute a task by itself, it asks for help and, if possible, another robot will provide the required service. In the paper, tasks consisting in transmitting data in real-time that could require communication relay services are considered. On the other hand, the parameters of the algorithm can be adapted to give priority to either the execution time or the energy consumption in the mission. The potential generation of deadlocks associated to the relation between tasks and services is studied, and as an original result, a distributed algorithm that prevent them is proposed. The algorithm has been tested in simulations that illustrate the main features of the S+T algorithm. ©2008 IEEE.

关键词： Energy utilization

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Research on multimodal relation extraction method based on contrast learning 3

Research on multimodal relation extraction method based on c...

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3rd International Conference on Electronic Information engineering, Big Data, and computer Technology, EIBDCT 2024

作者： Zhao, Jingsheng Ni, Qihui Yan, Shuai Zhu, Qiaoming School of Information and Control Engineering Qingdao University of Technology Qingdao Shandong266000 China School of Computer Science and Technology Suzhou University Suzhou Jiangsu215006 China

ISBN: (纸本)9781510680449

Traditional relation extraction methods are usually based on single text data, and other modality information such as image and video can improve the effect of text relation extraction. Aiming at the problem of heterogeneity between multi-modal data, a multi-modal relation extraction model MRECL based on contrastive learning is constructed. Firstly, the feature representation of image and text is obtained through ViT and BERT models;secondly, contrastive learning is introduced to align image-text features to reduce modality heterogeneity in advance;then image is used as prefix guidance information, and multi-modal interaction fusion is carried out with text information through attention mechanism;finally, the probability of all relation classification is calculated through Softmax layer and the prediction relation is output. Experimental results show that the precision, recall, and F1 values of MRECL on the MNRE dataset reach 83.23%, 82.19%, and 82.70%, respectively, achieving better performance than the current SOTA model. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Image enhancement

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Design of an Optimization Scheme for Compressed Circuits in Hardware Implementation of Large Number Multiplication

Design of an Optimization Scheme for Compressed Circuits in ...

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2023 International Conference on Electronic Materials and Information engineering, EMIE 2023

作者： Su, Cheng Xia, Hong Zhao, Pan Lei, Wenyuan College of Control and Computer Engineering North China Electric Power University No. 2 Beinong Road Huilongguan Street Changping District Beijing010-80798509 China

ISBN: (纸本)9781510671331

The frequent use of 1024-bit large number multiplication in encryption algorithms like SM9 often involves parallel execution of multiple small-bit Booth multipliers. However, this design approach leads to significant area consumption in the compression circuit and intermediate registers. In this paper, we propose a novel reconfigurable and reusable compressed circuit design that reduces the area of the compression circuit without compromising speed, thus minimizing the overall area of the large number multiplication circuit. The proposed design is simulated using Design Compiler in the SMIC0.18 technology library under the SSG process corner. The results demonstrate a 21% reduction in circuit area and a 2% decrease in power consumption. © 2023 SPIE · 0277-786X ·

关键词： Timing circuits

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Character Recognition of Vedic Sanskrit using Deep Learning Algorithms 3

Character Recognition of Vedic Sanskrit using Deep Learning ...

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3rd IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022

作者： Pandey, Mrinal Pandey, Rashmikiran Nazarov, Alexey Moscow Institute of Physics and Technology Department of Radio Engineering and Cybernetics Moscow Russia Federal Research Center Computer Science and Control Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781665462006

One of the applications of deep learning is deciphering the unscripted text over the walls and pillars of historical monuments is the major source of information extraction. This information gives us an idea about the art and the culture of that respective era. In this paper we proposed a model for digital recognition of textual characters written in Sanskrit language using the 4-fold Convolutional Neural Network (CNN) architecture. At the first stage we remove the noise and subsequently segmentation of characters from the input image is performed, later we convert the image into binary image format by the help of image processing techniques. The research is performed over the Devanagari script which was developed during 1st to the 4th century CE and is common to many languages from the Indian subcontinent. © 2022 IEEE.

关键词： Character recognition

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A Partial Grading Method using Pattern Matching for Programming Assignments 8

A Partial Grading Method using Pattern Matching for Programm...

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8th International Conference on Innovation, Communication and engineering, ICICE 2019

作者： Liu, Xiao Kim, Yeoneo Cheon, Junseok Woo, Gyun Pusan National University Department of Electrical and Computer Engineering Busan Korea Republic of Smart Control Center of Lg Electronics Pusan National University Busan Korea Republic of

ISBN: (纸本)9781728158396

The common approach of the automatic judging systems of programming assignments is compiling the submitted assignment codes to executable programs, then executing them based on pre-defined inputs and grading scores based on the outputs. The output will be evaluated as zero points if it only contains partially correct answers in most judging systems. We apply an approach based on the pattern matching that is able to evaluate the assignment code and give it a partial score if its output is partially correct. Our approach is developed based on Scala and it can be deployed on our previous automatic online programming evaluation system named neoESPA. © 2019 IEEE.

关键词： Pattern matching

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