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检索条件"任意字段=2022 3rd International Conference on Signal Processing and Computer Science, SPCS 2022"

共 761 条记录，以下是131-140 订阅

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Fuzzy expert compensation controller for converters based on down slag images 3

Fuzzy expert compensation controller for converters based on...

引用

2022 3rd international conference on computer Information and Big Data Applications, CIBDA 2022

作者： Ma, Mingze Li, Ailian Liu, Haonan School of Information Engineering Inner Mongolia University of Science and Technology Baotou014010 China

ISBN: (纸本)9783800758760

Based on the large number of domestic converters and the fact that many of them are statically regulated, a targeted combination of image processing and other technologies is used to improve the shortcomings of static regulation and to develop a steel quality evaluation model for converters with a high hit rate that is suitable for the field environment. The output of the steel quality evaluation model is combined with the expert knowledge of the converter smelting process and the process data to establish a fuzzy expert compensation controller based on data fusion for the initial batching of converter steel, which can adjust the initial batching of the next furnace, so as to improve the one-pour hit rate, shorten the melting cycle and reduce the cost. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Data fusion

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Fusion recommendation algorithm based on DeepWalk and Item-Based collaborative filtering 3

Fusion recommendation algorithm based on DeepWalk and Item-B...

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3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Yu, Yicheng Li, Rongbin Yin, Jun Qinghai Normal University School of Computing Xi'Ning China The State Key Laboratory of Tibetan Intelligent Information Processing and Application Xi'Ning China

ISBN: (纸本)9798350320404

Collaborative filtering techniques have been applied to personalised recommendation systems in recommender systems. However, with the gradual increase in the number of platform users and goods, the user rating data on the entire project matrix is extremely sparse, resulting in the inaccuracy of the prediction results. DeepWalk, on the other hand, still performs well when the data is sparse. Therefore, DeepWalk is introduced into collaborative filtering, and a fusion recommendation algorithm based on DeepWalk and collaborative filtering is proposed to reduce the impact of cold start and sparsity on the recommendation results. Experiments show that the proposed fusion recommendation algorithm has higher recommendation accuracy when the data is sparse compared with other traditional algorithms, which improves the recommendation quality to a certain extent. © 2022 IEEE.

关键词： Collaborative filtering

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A Method for Building Chinese Domain Lexicon Based on New Words Recommendation 3

A Method for Building Chinese Domain Lexicon Based on New Wo...

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3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Duan, Jinjian Wang, Meiqing Guan, Yibo Lin, Qiu Beihang University School of Mechanical Engineering and Automation Beijing China Beijing Aerocim Technology Co. Ltd Beijing China Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (纸本)9798350320404

Professional domain lexicon construction is the basis for Domain-specific Natural Language processing. Current new words detection algorithms struggle with migration and sparsity and are unable to facilitate the building of domain lexicons. In this paper, a method for building a domain-specific lexicon based on new words recommendation is proposed. A model of the domain lexicon construction process was developed, including domain corpus pre-processing, new words detection, saliency evaluation, and new words recommendation. The problem of the sparsity of unsupervised new words discovery algorithms is solved by using Enhanced Mutual Information and Branch Entropy to identify small word frequency words and NC-value to identify domain words. According to experiments on a guided domain dataset, the method is effective at enhancing the precision of domain new words recommendations, lowering the complexity of expert work, and has significant implications for the building of a domain-specific lexicon. © 2022 IEEE.

关键词： Natural language processing systems

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Time-frequency Analysis of Non-stationary signal Based on Sliding Mode Singular Spectrum Analysis and Wigner-ville Distribution 3

Time-frequency Analysis of Non-stationary Signal Based on Sl...

引用

3rd international conference on Information science and Education, ICISE-IE 2022

作者： Li, Zhe Sun, Shilin Wang, Yichuan Dai, Weiguo Qiu, Jiaxing Liu, Zhen Naval Submarine Academy Qingdao China

ISBN: (纸本)9798350320381

In order to obtain better performance of time-frequency representation(TFR) in non-stationary signal processing using Wigner-Ville distribution(WVD), an adaptive time-frequency analysis method based on combination of sliding mode singular spectrum analysis(SM-SSA) and Wigner-Ville distribution(SM-SSA-WVD) was proposed. Through mode decomposition of original signal by SM-SSA and linear superposition of TFRs for each mode by WVD, the cross terms are effectively suppressed, which obtaining higher adaptive ability and energy concentration of WVD results comparing to the traditional WVD methods. The proposed cross-term free method is applied to analyze several kinds of simulated clean and noisy multi-component modulated signals. The TFRs of the proposed method work better in restraining the cross terms of WVD than some other adaptive decomposition methods, thus obtaining higher time-frequency resolution and noise robustness. © 2022 IEEE.

关键词： Wigner-Ville distribution

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Calculation of intersection signal timing based on electronic police passing data 3

Calculation of intersection signal timing based on electroni...

引用

3rd international conference on computer science and Communication Technology, ICCSCT 2022

作者： Wang, Hao Gu, Bao Zhang, Yibo Shanghai Institute of Technology SIT Shanghai China Ningbo Municipal Public Security Bureau Zhenhai Branch Ningbo China

ISBN: (纸本)9781510661240

The passing data from the electronic police are increasingly used for traffic state identification and signal optimization. Obtaining the specific settings of signal timing is very important for refined traffic analysis. In this paper, traffic signal timing settings are directly calculated from the passing data of electronic police equipment to solve the problem of not being able to obtain signal timing for various reasons in practice. In the experiment, the bidirectional sliding window was used to evaluate the probability of the signal light indication at each time, and the evaluation probability for each time of the sliding range was added up to obtain the overall green probability of the sliding range. The experiment shows that the electronic police data can not only calculate the intersection signal timing effectively, but also eliminates the influence of abnormal vehicles. © 2022 SPIE.

关键词： Law enforcement

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Design and Implementation of High Frequency Functional signal Generator using DDFS based on 16-stage pipelined COrdIC architecture 3

Design and Implementation of High Frequency Functional Signa...

引用

3rd international conference for Emerging Technology, INCET 2022

作者： Mohanty, Kalinga Reddy, D. Ramesh Chitra, P. Ramana Reddy, G. Sankar, P. Ravi Prakash, K. National Institute of Technology Warangal Department of Electronics & Communication Enginnering Warangal506004 India Department of Ece Tamilnadu Chennai India

ISBN: (纸本)9781665494991

Frequency synthesizer has been used in numerous communication applications. This is acknowledged as the heart of the electronics systems. Numerically controlled oscillator (NCO) is the primary part of this frequency synthesizer, which helps in generating high precision & high frequency signal. One of the best suited methods to empower the NCO is COrdIC algorithm. COrdIC (Coordinate Rotation Digital computer) algorithm is one of the well-known methods used for the trigonometric & arithmetic calculation and applications of digital signal processing. This algorithm can work with higher efficiency for the signal generation & hardware utilization. COrdIC architecture is used in the NCO, which is the central part of DDFS (Direct Digital Frequency Synthesis) to produce analog signal. Here in this paper, a sinusoidal waveform generator is implemented using an efficient 16-stage pipelined COrdIC architecture with a very small look-up table (LUT). The architecture is designed, and its RTL simulation is carried out using Xilinx Vivado. The purpose of the work is to improve the output frequency and the accuracy. The architecture had been implemented on a Xilinx Spatran-6 (XC6SLX9) FPGA & the final results showed that the proposed pipelined architecture is capable of generating a maximum output frequency of 157.684 MHz with less than 1% (approximately 0.34%) of error. © 2022 IEEE.

关键词： Frequency synthesizers

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Research on Machine Translation (MT) System Based on Deep Reinforcement Learning 3

Research on Machine Translation (MT) System Based on Deep Re...

引用

3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： He, Junchen Fuzhou University of International Studies and Trade School of Foreign Languages Fujian Fuzhou350202 China University of Perpetual Help System DALTA Graduate School Las Pinas Philippines

ISBN: (纸本)9798350320404

With the deepening of globalization and the rapid development of human society and economic society in the world, the demand for machine translation in human society is also increasing rapidly, and the progress of artificial intelligence technology has put forward new requirements for the quality of machine translation. At the same time, the development of machine translation research has set a benchmark for other fields of natural language processing. Therefore, the research on machine translation not only has high practical value, but also can promote the progress of the theoretical research on natural language processing. Based on the idea of deep learning, this paper selects English language features as feature parameters, uses fine-tuning Python model training technology and feature-based deep learning method, and conducts deep reinforcement learning on Anglo-German MACHINE translation model. The comparative experiment of Indian English-German neural machine translation model shows that, The machine translation system based on deep learning is obviously better than traditional machine translation, and the translation effect is obviously improved. © 2022 IEEE.

关键词： Reinforcement learning

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AQtrans: Q&A Sentence Matching Method for Single-Hop Knowledge Based Question Answering 3

AQtrans: Q&A Sentence Matching Method for Single-Hop Knowled...

引用

3rd international conference on Electronic Communication and Artificial Intelligence, IWECAI 2022

作者： Lin, Qingwen Zhan, Minghao Wu, Jiayang Wu, Biao Computer Science Guangdong University of Technology Guangdong Guangzhou China School of Mathematics And Big Data Foshan University Guangdong Foshan China

ISBN: (纸本)9781665479974

KBQA is the key technology of natural language processing. The single-hop KBQA task is usually divided into entity recognition and answer link. Among them, improving the effect of answer links is the key to improving performance. The current mainstream answer linking methods often face the challenge that the identified predicate cannot be linked to the knowledge base. Therefore, this paper proposes to match question and answer sentences by transforming candidate answers into natural language answer sentences and forming context with the question sentences. Since question and answer sentences are essentially different expressions of the same triple, the unsupervised triple data in the knowledge base can be used to further improve the effect of the model by training the answer-question conversion model. It solves the problem that the current mainstream methods cannot use unsupervised triple data at low cost. And achieved state-of-the-art results in the WC2014 dataset and the NLPCC 2016 KBQA dataset. © 2022 IEEE.

关键词： Natural language processing systems

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Analysis of Learners' Sentiments on MOOC Forums using Natural Language processing Techniques 3

Analysis of Learners' Sentiments on MOOC Forums using Natura...

引用

3rd international conference on Innovations in computer science and Software Engineering, ICONICS 2022

作者： Marfani, Hania Hina, Saman Tabassum, Huma NED University of Engineering and Technology Department of Computer Science and Information Technology Karachi Pakistan

ISBN: (纸本)9781665461412

MOOCs have gained a lot of popularity for past few years. Especially after the outbreak of Coronavirus, everyone is trying to gain some knowledge and skill while being at the comfort of home and making themselves safe. Due to sudden increase in the number of participants on MOOCs there is a need for an automated system to be able to assess the reviews and feedbacks given by the learners and find the sentiments behind their statements. This analysis will help trainers identify their shortcoming and make their courses even better. For sentiments analysis, several approaches may be used. This research aims to provide a system which will perform sentiments analysis on the novel dataset and show the comparison of lexicon-based vs transformer-based sentiment analysis models. For lexicon based, VADER was chosen and for transformer-based, state-of-The-Art BERT was chosen. BERT was found to be exceptionally good with an accuracy of 84% and F1-score of 0.64. © 2022 IEEE.

关键词： Sentiment analysis

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An investigation on digital signal processing in pulse amplitude modulation transmission system 3

An investigation on digital signal processing in pulse ampli...

引用

3rd international conference on computer Communication and Network Security, CCNS 2022

作者： Liu, Yexiang School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510660113

With the development of the global Internet industry, the demand for the transmission capacity of communication system is increasing rapidly. Optical fiber has become the main transmission media in communication systems because of its unique advantages, such as large bandwidth and low loss. It is necessary to construct large capacity optical communication systems to satisfy the capacity requirements. In this paper, the overall architecture for optical short-reach pulse amplitude modulation (PAM) transmission system is analysed. Then the signal damage factors and corresponding compensation schemes based on digital signal processing (DSP) are studied. The different implementation schemes for clock recovery and channel equalization are described and compared in detail. Finally, the challenges and prospects of DSP technology in short-reach PAM transmission system are discussed. © 2022 SPIE.

关键词： Pulse amplitude modulation

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