Advances in computer, signals and systems最新文献_第2页

Design and Implementation of Travel System for Disabled People Based on User Interest Preference Recommendation Algorithm 基于用户兴趣偏好推荐算法的残疾人出行系统设计与实现

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070705

{"title":"Design and Implementation of Travel System for Disabled People Based on User Interest Preference Recommendation Algorithm","authors":"","doi":"10.23977/acss.2023.070705","DOIUrl":"https://doi.org/10.23977/acss.2023.070705","url":null,"abstract":"There are a great deal of disabled persons in China's society nowadays, but they often are unable to leave the house because traveling is inconvenient for them. This work develops a recommendation system based on a recommendation algorithm that can assist persons who have disabilities navigate normally. The application of recommendation system technology can help customers rapidly identify the products they're interested in, save time, and assist companies to cut expenses. It additionally has the ability to predict users' ratings or preferences for items. In today's big data environment, there are countless recommendation systems or software for all kinds of commodities. However, giving recommendations for traveling to specific groups of people, including those who are disabled, is uncommon. In order to meet the needs of people with disabilities for barrier-free travel and to address the issue that people with disabilities have nowhere to go, this paper designs a travel recommendation system for people with disabilities based on the recommendation algorithm of users' preferences. Improve the harmony and equal treatment of Chinese society.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498075","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

Design and Implementation of Child Missing Registration and Mutual Aid Mini Program Based on Java 基于Java的儿童失踪登记互助小程序的设计与实现

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070708

引用次数: 0

Research on Design of Chaotic Symmetrical Digital Image Encryption System 混沌对称数字图像加密系统设计研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070811

引用次数: 0

Design and Implementation of Beef Product Quality and Safety Traceability System Based on Blockchain Technology 基于区块链技术的牛肉产品质量安全追溯系统的设计与实现

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070710

{"title":"Design and Implementation of Beef Product Quality and Safety Traceability System Based on Blockchain Technology","authors":"","doi":"10.23977/acss.2023.070710","DOIUrl":"https://doi.org/10.23977/acss.2023.070710","url":null,"abstract":"With the progress of society, the society pays more attention to food safety, and the demands of consumers and regulatory authorities also increase. The original beef traceability system seems to be unable to meet the demand because of the complicated traceability links, difficult traceability and easy tampering of node data. In order to better meet the needs of the public, a beef product traceability system based on blockchain is designed. The core board is mainly based on consensus algorithm to package data on the chain and update the latest block height, and then use hash function to encrypt the information data on the chain, and then use the node-association-based hash matching retrieval and verification method to provide feedback verification of the obtained results, thus realizing the real and comprehensive, efficient and safe multi-level deep traceability of the whole beef cattle supply chain system, effectively guaranteeing the depth, breadth and credibility of traceability information. It effectively guarantees the depth, breadth and credibility of traceability information, and has good practical application prospects compared with traditional traceability systems.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498066","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

Research on the Construction of Examination System Based on Cloud Storage in Open Education Environment 开放教育环境下基于云存储的考试系统构建研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070715

引用次数: 0

Simulation of Multidimensional Time Series Data Analysis Model Based on Deep Learning 基于深度学习的多维时间序列数据分析模型仿真

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070816

{"title":"Simulation of Multidimensional Time Series Data Analysis Model Based on Deep Learning","authors":"","doi":"10.23977/acss.2023.070816","DOIUrl":"https://doi.org/10.23977/acss.2023.070816","url":null,"abstract":"By analyzing time series, we can realize functions such as prediction and detection to save manpower and material resources. However, time series data are usually accompanied by noise and data loss, which greatly restricts our use and analysis of time series data. In this paper, the current situation of time series classification research is comprehensively analyzed, and a multi-dimensional time series data analysis model based on deep learning is proposed. The feature extraction part of the model consists of a hollow convolution space pyramid structure and two residual blocks, and the residual blocks follow the structure of ResNet classification model. The pyramid structure of empty convolution space can be used as a basic module structure and a part of other types of neural network structures to obtain rich feature information, or it can be simply stacked many times and used as an independent network structure. Experimental results show that the proposed model has similar and good classification performance. Compared with other algorithms, the end-to-end deep learning algorithm designed in this paper has greatly improved the accuracy and solved the problem of the accuracy of multi-dimensional time series classification.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135159538","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 Review of Collaborative Adaptive Cruise Control for Vehicle Queuing Technology 车辆排队技术协同自适应巡航控制研究进展

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070802

{"title":"A Review of Collaborative Adaptive Cruise Control for Vehicle Queuing Technology","authors":"","doi":"10.23977/acss.2023.070802","DOIUrl":"https://doi.org/10.23977/acss.2023.070802","url":null,"abstract":"With the development of the modern economy, the number of cars on the road continues to increase, leading to escalating problems with traffic congestion. This paper outlines the progression of autonomous driving technology, emphasizing that a single autonomous vehicle is incapable of effectively mitigating traffic congestion. To further enhance the intelligence of traffic systems, this paper explores the potential value and application of Cooperative Adaptive Cruise Control (CACC) within vehicle platooning technology, with an aim to alleviate road congestion and increase traffic efficiency. In terms of the scenarios and potential value involved, this paper highlights the positive impact of vehicle platooning technology on reducing aerodynamic drag, fuel consumption, carbon emissions, and enhancing road throughput. This technology can also improve road safety by reducing collision risks through real-time communication and coordination between vehicles. Moreover, by implementing vehicle platooning, road capacity can be increased, thereby alleviating traffic congestion. The paper also points out some technical difficulties and challenges associated with vehicle platooning technology, including communication reliability, sensor accuracy, automatic control algorithms, and safety assurance. A series of solutions are proposed to address the challenges faced by vehicle platooning technology. Furthermore, potential future trends in vehicle platooning technology are explored, such as experimental verification of larger scale vehicle platoons, and consideration of model uncertainty and interference robustness. In summary, this paper provides a comprehensive exploration of the potential and challenges of vehicle platooning technology in alleviating traffic congestion and enhancing traffic efficiency. By detailing the technical background, application scenarios, potential value, and solutions, this paper offers valuable guidance and research direction for the development of future intelligent traffic systems.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135652633","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

Design of an Intelligent Travel Path Recommendation System Based on Dijkstra Algorithm 基于Dijkstra算法的智能出行路径推荐系统设计

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070814

{"title":"Design of an Intelligent Travel Path Recommendation System Based on Dijkstra Algorithm","authors":"","doi":"10.23977/acss.2023.070814","DOIUrl":"https://doi.org/10.23977/acss.2023.070814","url":null,"abstract":"The design background of the intelligent travel path recommendation system based on Dijkstra algorithm is to solve the problem of users choosing suitable routes among numerous tourist destinations. With the rapid development of the tourism industry, people’s demands for tourism experience are also increasing. However, facing numerous tourist attractions and complex transportation networks, users often find it difficult to determine the best travel route, which consumes a lot of time and energy. In order to solve this problem, an intelligent travel path recommendation system has emerged. The system utilizes the Dijkstra algorithm to quickly find the optimal route between the user’s location and destination by calculating the shortest path. At the same time, the system could also consider the personalized needs of users. Through experimental analysis, it can be seen that the evaluation is tested in five aspects: budget planning, route planning, clothing, food, housing and transportation planning, system overall, and system processing speed. The number of experimental participants is 400, and the satisfaction rate is above 308. It can be seen that the role of the system is to provide efficient and convenient tourism route recommendations, helping users save time and energy. Through this system, users can better plan their travels, reduce the occurrence of getting lost and wasting time, and improve the quality of their travel experience.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135104768","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

Research on Hotel Wastewater Treatment System Based on PLC Control 基于PLC控制的酒店污水处理系统研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070716

引用次数: 0

Analysis of Spatiotemporal Characteristics of Student Concentration Based on Emotion Evolution 基于情绪演化的学生注意力时空特征分析

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070711

{"title":"Analysis of Spatiotemporal Characteristics of Student Concentration Based on Emotion Evolution","authors":"","doi":"10.23977/acss.2023.070711","DOIUrl":"https://doi.org/10.23977/acss.2023.070711","url":null,"abstract":"Detecting the concentration of students in the classroom can help teachers quickly understand the participation and activity of students. However, the concentration of students has complex spatiotemporal distribution and evolution laws, which is challenging to identify and quantify. This paper proposes a novel student concentration evaluation method based on emotional evolution and virus transmission, which analyzes the spatiotemporal characteristics of concentration. The research contents are as follows: (1) A visual emotion classification method based on deep learning algorithm is developed to identify and quantify the emotion changes of each student. (2) On the basis of quantification results of emotion, the concentration index model with introducing the theory of virus transmission is established and further used to explore the spread of student concentration in spatiotemporal dimensions. (3) The Wilcoxon rank sum test (RST) is used to verify the difference of the results calculated by concentration index model in different semesters, and the reliability of the model can be reflected by the Pearson correlation coefficient between the centroid of the spatiotemporal distribution of concentration and final exam results. The experiments of 64 offline courses have been carried out in a same class for two semesters, and the results show that the concentration of student in the spatial dimension can be affected by negative and positive emotions from different regions, while in the temporal dimension, the high concentration level will decrease with increase of course time, and the generation speed of this phenomenon will be further exacerbated after coupling the spatial factors.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498072","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