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检索条件"丛书名=Lecture Notes on Data Engineering and Communications Technologies"

共 334 条记录，以下是11-20 订阅

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Optimization Study of Wind Speed Prediction Based on Combined Model of Neural Network Optimization Algorithm 1

引用

作者： Li, Xiao-Fei Zhang, Xiao-Yu Wei, Jin-Rui School of Big Data Management and Application Dalian Neusoft University of Information Liaoning Dalian116025 China School of Statistics Dongbei University of Finance and Economics Liaoning Dalian116025 China

ISBN: (数字)9789819908806

ISBN: (纸本)9789819908790

Short-time forecasting of wind speed has such an immense effect on boosting organizational excellence and raising market prosperity in the system of wind power plants. Significant number of models for predicting wind speed have been proposed by many scholars, which aim to improve the prediction performance. Taking the historical meteorological data of Penglai wind farm in Shandong province as an example, the wind speed data were firstly denoised by CEEMDAN, then TCN was selected to predict the denoised data, and finally the neural network was combined and optimized by using the GWO algorithm. The experimental findings demonstrate that, in comparison to all other traditional neural network models, the developed combinatorial model is unquestionably superior. Additionally, it may be applied as a successful method for designing the smart grid. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind speed

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Interactive Translation System of Intelligent Fuzzy Decision Tree Algorithm (IFDTA) 1

引用

作者： Wang, Junkai Liu, Wenjun Liu, Huijuan School of Information Science and Engineering Linyi University Shandong Linyi276005 China School of Foreign Languages Linyi University Shandong Linyi276005 China Center for International Education Philippine Christian University 1004 Manila Philippines

ISBN: (数字)9789819908806

ISBN: (纸本)9789819908790

Interactive machine translation is a technology that uses machine translation and human–computer interaction to improve the translation efficiency between natural languages. Although the current interactive machine translation has achieved some success, there are still some weaknesses. Based on this, this paper introduces the IFDTA into the interactive translation (IT) system, discusses the interactive machine translation method based on word graph and the application of the IFDTA in the IT system, overcomes the weakness of the current interactive machine translation, so as to improve the ability of the IT system and reduce the cost of user translation;The experimental results show that the translation efficiency of the system implemented in this paper is significantly improved on different corpora. Taking Parliamentary records as an example, the average translation time of the decision tree algorithm is 78.34 s, which is 22.83% shorter than the traditional IT. The addition of phrase translation item table can provide translators with more references of word translation items, effectively reduce the translation time delayed due to unknown words in the translation process and improve the translation efficiency. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Efficiency

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Voice Compression Coding Scheme of Ground Penetrating Wireless Communication in Mines Based on Fuzzy Delta Modulation 1

引用

作者： Zhao, Hongyu Ma, Zhenxing Zhang, Zhiyong Huo, Dayong College of Physics and Electrical Engineering Kashi University Kashi China

ISBN: (数字)9789819911578

ISBN: (纸本)9789819911561

Ground penetrating wireless communication in mines is a kind of wireless communication suitable for mine disaster relief, which has the problem of voice transmission difficulty, so it is necessary to compress and preprocess the voice signal to achieve the purpose of saving bandwidth. By analyzing the problems of the delta modulation voice compression coding scheme, this paper puts forward the fuzzy delta modulation as the voice compression coding scheme in ground penetrating wireless communication in mines, and establishes the simulation model. Matlab simulation results show that without considering the signal channel loss, when the sampling frequency is 32 kHz with the input of daily male voice signal, the recovered voice signal can be clearly recognized by the human ear, which can meet the needs of mine wireless communication. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： MATLAB

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Comparative Analysis of Machine Translation (MT) and Computer Aided Translation (CAT) 1

引用

作者： Wang, Tingting Sridhar, Venugopal Changchun University of Finance and Economics Jilin Changchun China Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bangalore India

ISBN: (数字)9789819908806

ISBN: (纸本)9789819908790

Since the emergence of MT, its fast translation speed and declining cost have been favored by the whole society. In order to make MT more useful, computational linguists have been committed to improving the accuracy of MT. By discussing the advantages and disadvantages of computer-aided translation and the advantages and disadvantages of MT, this paper compares the changes of translation accuracy, recall rate and word reasoning ability under different sentence lengths under different translation modes of MT, computer-aided translation and human translation through the test of machine frame model algorithm. The results show that in the length range of 0–10, the translation accuracy of the three translation models has reached more than 85%, which shows that the additional non top-level information of the encoder has an obvious gain for the model in translating shorter sentences;In the length range of 10–20, the translation accuracy does not decrease significantly;In the range of 30–40, the accuracy of sentence translation begins to decline significantly, especially in MT. With the increase of sentence length, the accuracy decreases to 70% in the range of 40–50;The decline of computer-aided translation is not obvious, and the accuracy is 79% in the length of 40–50;The accuracy of human translation is the most stable, maintained at more than 85%;There is little difference in the recall rate, which has reached more than 85 points, but the score of word reasoning is slightly different. The highest score is MT, which has reached 88 points, which fully proves the effectiveness of MT. Based on the above experimental test results, it can be seen that MT and computer-aided translation have their own advantages, and there is little difference in the overall level. For the translation accuracy, computer-aided translation combines human translation on the basis of MT, and computer-aided translation has more advantages than MT. © 2023, The Author(s), under exclusive license to Spr

关键词： Machine translation

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Intelligent Recommendation System for Early Childhood Learning Platform Based on Big data and Machine Learning Algorithm 1

引用

作者： Yang, Yabo Xi’an Fanyi University Shaanxi Xi’an710105 China

ISBN: (数字)9783031318603

ISBN: (纸本)9783031318597

Due to the low cognitive ability of children, the intelligent recommendation system should assist children in learning with the assistance of parents. Therefore, the intelligent recommendation system needs to evaluate the ability of users (children learners and their parents), and assign learning content with suitable difficulty Match with the user’s ability, assist the user to learn efficiently, and gradually cultivate the user’s learning interest and habits, and can be a useful supplement to the user’s regular learning. This paper uses JAVA EE language to develop an intelligent recommendation system for children’s learning platform based on Hadoop big data framework and machine learning algorithms. Learning platform with intelligent recommendation function. By analyzing the cognitive ability of children, and using the collaborative recommendation algorithm to recommend learning resources suitable for this age stage for children, in order to improve learning efficiency and cultivate children’s learning interest from an early age, at the same time, the resource library in the learning platform has more Practical value. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Recommender systems

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Adaptive Neural Network (NN) Coordinated Tracking Control Based on Artificial Intelligence Algorithm 1

引用

作者： Lu, Bo Guo, Yuanda Song, Jia Naveen, I.G. Hao Jing College of Shaanxi University of Science and Technology Shaanxi Xi’an China Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bangalore India

ISBN: (数字)9789819908806

ISBN: (纸本)9789819908790

The research of NN adaptive algorithm and detail factors has carried out a lot of academic exploration in the field of control. The known linear or partially linear system models can be solved by the algorithm of control theory. However, in the actual process, there must be external interference and the system has unknown parameters, which should be considered in the design of control strategy. In this paper, the adaptive NN coordinated tracking control based on artificial intelligence algorithm is studied, and the NN control, adaptive control and NN adaptive algorithm are discussed and analyzed;Taking the variable speed fan as the research object, the power tracking problem of the unit below the rated wind speed is studied, and a high-precision and fast nonlinear power tracking control is designed. A NN adaptive proportional tracking control method is designed to solve the power tracking control problem of the system with model uncertainty, external interference and unknown ideal power trajectory, and the model construction of unknown ideal power trajectory is proposed;Through control simulation and analysis, the wind farm output power tracking curve is tested. The results show that the proposed control method before and after optimization can achieve good trajectory tracking effect, make the NN play a better learning and estimation ability, better tracking effect and less error. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Trajectories

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Online Teaching System of French on Demand Based on Streaming Media Technology 1

引用

作者： Han, Lu College of Foreign Languages Bohai University Liaoning Jinzhou China

ISBN: (数字)9789819911578

ISBN: (纸本)9789819911561

Streaming media technology is a technical means that integrates data collection, compression, storage, transmission and communication, allowing users to obtain high-quality streaming media services anytime, anywhere, making the core technology of audio and video transmission more and more popular. It has injected new vitality and vitality into online teaching. The campus wireless WIFI has basically achieved full coverage, and the streaming media technology has flourished, providing the basic conditions for the online teaching of French listening on demand. Designing an online teaching system for French listening on demand based on streaming media, the main work includes three aspects: first, the composition of the VOD system;the second, the composition of the Nginx server;the third is the system architecture composed of data layer, service layer, processing layer and functional layer. The research results are advanced and applicable. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Digital storage

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Early Warning of Linguistic Achievement Pattern Based on DNA-GA Algorithm 1

引用

作者： Wan, Xiaohui School of Foreign Languages Ili Normal University Xinjiang Yining835000 China

ISBN: (数字)9789819908806

ISBN: (纸本)9789819908790

With the continuous improvement and development of China’s education system, the education management system has been applied to all colleges and universities in China. In recent years, it undertakes the management and storage of educational information in Colleges and universities, and produces a large number of educational data information. This paper summarizes the basic principle of DNA-GA algorithm, analyzes the advantages of DNA-GA algorithm, discusses the difficulties of DNA-GA algorithm, puts forward the language ability test scale, and tests the linguistic performance of college students. The results show that the current situation of 50 college students Take a linguistic test is above the medium level, and the overall performance of academic performance is normal distribution. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Linguistics

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PLC Controller-Based Automatic Control System Design for Electric System Manipulator 1

引用

作者： Zhou, Hengchao Su, Yan Li, Jinxia Industry College of Cold Chain Logistics and Supply Chain Shandong Institute of Commerce and Technology Jinan China

ISBN: (数字)9789819908806

ISBN: (纸本)9789819908790

With the rapid development of China’s economy, the demand for electricity is increasing, and the contradiction between supply and demand is becoming more and more serious, the safe and stable operation of the power system plays a vital role. In the production process, many machinery and equipment need to use high-voltage electrical facilities to complete the work, a large number of electrical equipment to meet the life and industrial production, and the power system control plays a role in regulating and protecting the role of electrical equipment, so the electrical automation control system is essential. With the development of society, the requirements for intelligence and humanization are getting higher and higher. In order to improve the efficiency of power supply, reduce labor intensity and save energy, it is required to use advanced technical means to control the operation design, so as to achieve the set control purposes, PLC control system is a kind of automation controller with high reliability, flexible control, easy to expand the function. This paper is based on the PLC controller control system design of the power system manipulator mainly introduces the electrical automation control technology, the basic function of PLC controller and its role in the power system control. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Controllers

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Anomaly Recognition Method of Network Media Large data Stream Based on Feature Learning 1

引用

作者： Chen, Fei School of Big Data Chongqing Vocational College of Transportation Chongqing402247 China

ISBN: (数字)9783031318603

ISBN: (纸本)9783031318597

With the rise and rapid development of mobile communication, intelligent terminals and feature learning technologies, we are entering the era of mobile Internet. When we meet developers in the web, we have no control over the progress of various specific applications. Therefore, feature learning needs to provide a high degree of flexibility for anomaly detection. This paper firstly proposes a method for external identification of big data stream network media based on feature theory. In this paper, an applied research on optimization problems based on feature theory is carried out. The integration and distribution of high-performance evolutionary algorithms also need to be improved, and great success has been achieved in the field of recognition. This kind of feature takes the region with significant gray change (such as inflection point intersection) as the point of interest, and designs the corresponding feature description vector to quantify the detected region. These local features are robust to background and attitude changes, and are usually used in target detection, target classification and other fields. Therefore, the study of outlier coevolution feature learning is of great significance. The experimental results show that the outlier detection method based on feature learning in big data network streaming media improves the optimization rate of outlier problem by 14%. The classification of external optimization problems based on feature learning provides a good method for the application of big data analysis and genetic algorithms, thereby improving the results of learning research. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anomaly detection

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