2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)最新文献

{"title":"Intelligent English Automatic Translation System Based on Human-Computer Interaction Enhancement Algorithm","authors":"Shangying Guo","doi":"10.1109/ACEDPI58926.2023.00095","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00095","url":null,"abstract":"English is the most widely used language in the world. The popularity of the Internet has made people’s demand for English translation more and more large. The problem of language communication barriers is gradually highlighted. Manual translation needs huge human and financial support. The technology has provided excellent hardware support for intelligent automatic translation. Therefore, this paper focuses on the research and design of translation system based on human-computer interaction enhancement algorithm. This paper first describes the characteristics of the intelligent English automatic translation system and the language model, the system and designs the system architecture and human-computer interaction interface. Finally, it analyzes the performance and the results of long sentence translation. The research results show that the intelligent English automatic translation system based on the human-computer interaction enhancement algorithm has better performance than the traditional machine translation system.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123144544","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}

{"title":"Intelligent Waste Disposal Technology Based on Internet of Things Technology","authors":"Qixuan Chai, Can Yang, Jianquan Deng, Zeyu Xie, Zhengxiao Kang","doi":"10.1109/ACEDPI58926.2023.00078","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00078","url":null,"abstract":"In the process of the gradual improvement of people’s living standards, the emergence of a large number of domestic garbage has brought great pressure to the city. From the current situation, ordinary classified garbage cans can no longer meet the basic needs of urban garbage classification. In the process of increasing garbage production and continuous waste of garbage resources, the city has put forward higher requirements for garbage classification, How to deal with and solve garbage resources reasonably is a problem that needs to be solved urgently. In view of the characteristics and problems of the current garbage disposal, an intelligent garbage disposal technology based on the Internet of Things technology is proposed. Combined with communication, mechanics, optics and other related technologies, it aims to thoroughly solve the health problems existing in traditional garbage cans, effectively prevent diseases from spreading through the garbage cans, greatly improve the utilization rate of the internal space of the garbage cans, and effectively solve the problem of garbage accumulation.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121316020","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}

{"title":"Research on Computer Network Secure Communication and Encryption Algorithm Based on Machine Learning","authors":"Jian Liu","doi":"10.1109/ACEDPI58926.2023.00030","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00030","url":null,"abstract":"Due to the continuous progress of Internet technology, computer network communication service has replaced the traditional short message service and multimedia message service, and has become an irreplaceable tool in network information exchange. However, while communication brings great convenience, its message transmission process also faces many security threats, and ensuring the security of message transmission has become an urgent problem to be solved. In order to ensure the security of the instant messaging system, some advanced security encryption algorithms are used in the communication system to prevent attacks and information leakage. By using encryption algorithms, the network security research based on machine learning (ML) can be better applied to the actual network environment. It is of great significance to improve the network monitoring ability, emergency response ability and predict the development trend of network security, so as to efficiently utilize and manage network resources.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570304","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}

{"title":"Research on “5G+VR” New Media Live Broadcasting Technology Based on H.265 Video Coding","authors":"Jin Wei, Ran Wang","doi":"10.1109/ACEDPI58926.2023.00072","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00072","url":null,"abstract":"Media integration originates from the application of new technologies and develops in the reorganization of media resources and the reform of news production processes. The integration of VR, AR, H5 and other new means and methods has produced the “5G+VR” new media live broadcast technology. 5G is characterized by high speed, low delay and large connection. VR uses a panoramic camera to collect video signals from multiple cameras, generate a 3D virtual environment for the live broadcaster, and interact with the virtual environment through user sensing devices.In order to meet the live broadcast demand under the background of media integration, the “5G+VR” new media live broadcast technology is studied. Based on the “5G+VR” new media live broadcast platform architecture, H.265 video coding technology, obtaining gyroscope data, video rendering, HTML5 player and other contents have solved the key technical problems.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071626","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}

{"title":"High Efficient Compression: Model Compression Method Based on Channel Pruning and Knowledge Distillation","authors":"Junan Lin, Zekai Ye, Junhan Wang","doi":"10.1109/ACEDPI58926.2023.00058","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00058","url":null,"abstract":"With the development of neural network models in the field of deep learning image processing, more complex and higher performance neural network models can be used, but with it comes greater parameter quantities and computing power requirements. Although the model compression method has been updated in recent years, it still has problems such as inefficiency and reduced accuracy. Based on this, we propose a model compression method based on channel pruning and knowledge distillation, we sort and prune the L2 regularization weights of the convolutional layer filter containing a large number of calculations in the original model and prune it according to a certain proportion, and assist in restoring the accuracy by the knowledge distillation of the pruning model through the original model. Experimental results of the VGG16 model show that our pruning method reduced the parameters of the model by half and increased its processing speed to 2.7 times that of the original model, but the accuracy was reduced by about 10%. To solve this problem, we propose a knowledge distillation method to assist the training of the pruning model, so that the problem of model accuracy degradation has been improved and maintained at about 3.3%, to achieve a balanced state of model compression and accuracy reduction, thereby realizing the efficient compression of the model.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583006","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}

{"title":"Intelligent Prediction and Analysis System of Green Building Energy Consumption Based on BP_AdaBoost Algorithm","authors":"Fan Zhang","doi":"10.1109/ACEDPI58926.2023.00061","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00061","url":null,"abstract":"By predicting the future energy consumption of buildings, energy managers can judge the energy consumption trend of buildings in advance and implement energy procurement and energy regulation strategies in a planned way. It is the most basic work in building energy conservation projects. There are many methods to predict building energy consumption, including neural network method, software simulation method, gray system method, etc. This paper puts forward BP_AdaBoost algorithm (BPAA), studies and analyzes the IP and analysis system of green building(GB) energy consumption, and briefly introduces the classification of energy consumption prediction models and building design factors; Proposed BPAA, and analyzes the recognition process and steps of the algorithm. Finally, BP is established AdaBoost algorithm GB energy consumption IP model, through the comparative experiment with BP algorithm model, the results show that considering the overall effect, BP-The prediction effect of AdaBoost model is better than that of BP model. The BP proposed in this paper is verified- AdaBoost model has good prediction accuracy and convergence effect.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"67 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131471285","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}

{"title":"Design and Implementation of a Cloud-Based Software Platform for Dynamically Reconfigurable Wearable Computers","authors":"Lingling Cui, Jiaming Zhang","doi":"10.1109/ACEDPI58926.2023.00102","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00102","url":null,"abstract":"As a support platform for new Internet services, the cloud computing (CC) platform serves both end users and service providers, and also provides technical support for the development of some emerging technologies. This paper designs and implements a dynamic wearable computer software platform based on the CC platform, including writing a dynamic reconfiguration management module, developing a CPLD driver, an FPGA driver, a dynamic link module and a configuration file download module; building a graphical desktop manager, which provides a graphical management interface for the wearable computer and specifies the packaging form of the application; developing a GPS resolution module, which provides upper layer applications to provide GPS positioning information; build the communication subsystem on the software platform, do some research on heterogeneous network communication, and provide functions such as authentication, permission management, message sending and information encryption on top of network communication. The encryption and decryption module is accelerated by the hardware encryption function provided by the dynamic reconfigurable (DR) module, and the usability of the DR wearable computer software platform is verified.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128131759","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}

{"title":"Design and Implementation of Financial Accounting System Based on Cloud Computing Technology","authors":"F. Yin","doi":"10.1109/ACEDPI58926.2023.00018","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00018","url":null,"abstract":"The financial system is the soul of the company. A stable and well-functioning financial system is of great significance to the handling of financial affairs, the accounting and payment of employees’ salaries, the management of company assets and even the smooth operation of the company. Based on the saa S model, this paper understands the existing problems and shortcomings in the field of enterprise management accounting information based on investigation and literature reading, introduces cloud computing, a new Internet technology, into the implementation of enterprise management accounting informatization, and puts forward the research topic of management accounting informatization in small and medium-sized enterprises. The system is developed in the SaaS mode, and data management is carried out by sharing data. At the same time, the role-based access control method is used to ensure the security of data. Practice shows that the application of information technology to enterprise financial module realizes the integration of resources within the financial system and even enterprises.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132611560","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}

{"title":"Architecture and Integrated System of Autonomous Intelligent Robot Based on Multi-perception","authors":"Tianwen Zhao","doi":"10.1109/ACEDPI58926.2023.00022","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00022","url":null,"abstract":"With the gradual expansion of the application field of autonomous intelligent robots, their working environment will also be complex and diverse. The environment perception system of autonomous intelligent robot is responsible for obtaining the internal state and external environment information of the robot, which is the basis of robot decision-making and planning. By installing a variety of sensors on the autonomous intelligent robot, and using the information fusion method to fuse the obtained information, a consistent description of the environment is obtained. The key to the architecture of autonomous intelligent robots is to seek the best compromise between precise reasoning and fast response. With the development of sensor and computer technology, the research on environment perception based on multi-sensor information fusion will be more in-depth and more achievements will appear. Environment perception, motion control and interactive recognition are the core technology modules of robot industry development, among which perception is the precondition of robot motion and interactive recognition. Through visual detection of the target features, the offset of the target relative to the reference position can be obtained, and the working trajectory of the robot can be compensated to solve the problem of accurate target positioning, and a good man-machine interaction channel can be constructed through speech recognition technology. Supported by external sensors, the robot has the ability to perceive the external environment to varying degrees, and has certain ability of environment modeling and decision-making control. Perception system is the most important part of the interaction between intelligent robot and human and external environment. This paper expounds the idea of evolutionary control and applies it to the design of the control structure of autonomous intelligent robots. This structure enables the mobile robot to have good learning and adaptability, fast response speed, good rationality and ability to complete a given task.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134199574","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}

{"title":"Research on Design of Internet of Things Gateway for Adaptive Data Acquisition of Power Transmission, Transformation and Distribution Based on Edge Intelligence","authors":"Li Wang, Guoen Wei, Kaitao Huang, Yongzhao Lao, Xuan Liu, Zhongbin Li","doi":"10.1109/ACEDPI58926.2023.00086","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00086","url":null,"abstract":"At present, the data protocol conversion in the data acquisition of the power Internet of Things gateway is complex and difficult to adapt, each device needs to be adapted and developed when it is connected to the network cloud, and the redundant data acquisition at equal intervals leads to the waste of bandwidth, etc. To solve these problems, a power transmission and transformation adaptive data acquisition Internet of Things gateway based on edge computing is designed. The gateway supports edge computing functions such as configurable data acquisition, multi protocol transmission, adaptive data acquisition, data matching, analysis and conversion, and basically realizes the functionality, accuracy and adaptability of the power Internet of things gateway system. It is of great significance to enhance the intelligence, configurability and adaptability of the data acquisition edge of the ubiquitous power Internet of things.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134102491","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}