International Conference on Algorithms, Microchips and Network Applications最新文献_第9页

Construction and analysis of tourism mapping based on data mining and Apriori algorithm 基于数据挖掘和Apriori算法的旅游地图构建与分析

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679050

S. Wang

引用次数: 0

Research on joint risk control of dynamic pledge based on GARCH model 基于GARCH模型的动态质押联合风险控制研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2678881

Jin Xu

引用次数: 0

Research on uniformity enhancement of arbiter PUF 提高仲裁器PUF均匀性的研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679064

Keran Xu

引用次数: 0

Quality evaluation method of agricultural talents training based on improved random forest algorithm 基于改进随机森林算法的农业人才培养质量评价方法

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679268

Qi Wang, Guanghai Li, Jingang Song

{"title":"Quality evaluation method of agricultural talents training based on improved random forest algorithm","authors":"Qi Wang, Guanghai Li, Jingang Song","doi":"10.1117/12.2679268","DOIUrl":"https://doi.org/10.1117/12.2679268","url":null,"abstract":"At present, the evaluation mechanism of higher education is still relatively old, with too much emphasis on theoretical assessment and insufficient assessment on practical application. Because the assessment mechanism is too single, it limits academic freedom and innovation. The inflexible educational mechanism will also lead to the shift of the focus of personnel training. Therefore, we must improve the evaluation mechanism of higher education. In this paper, the posterior probability is selected as an important part of the cost function. The cost function is combined with the Gini coefficient, which is the feature division index of random forests It is to achieve the purpose of considering the sample misclassification cost when the random forests weak classifier selects features. Squaring can increase the cost of misclassifying the actual class as a sample. It can also realize the evaluation of educational resources and verify the experimental results by comparing the performance of a single model. The results prove that this model is more suitable for evaluating the education and training of agricultural talents. It can also measure the application value of resources to maximize the use effect of educational resources.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133133907","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

Secure E-transaction system based on smart contract and InterPlanetary file system 基于智能合约和星际文件系统的安全电子交易系统

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679085

Ou Ruan, Wanzheng Zhao, Y. Tian

{"title":"Secure E-transaction system based on smart contract and InterPlanetary file system","authors":"Ou Ruan, Wanzheng Zhao, Y. Tian","doi":"10.1117/12.2679085","DOIUrl":"https://doi.org/10.1117/12.2679085","url":null,"abstract":"As an integral part of our life in modern society, e-transaction under the third-party payment model is widely used. However, this model may cause some issues such as privacy exposure, data being stolen or tampered, and unsatisfactory fund supervision. To solve these problems, the paper proposes a secure transaction system based on the smart contract and the InterPlanetary file system. Blockchain technology is used to realize decentralized transactions and payments, ensure the anonymity of users and stores in the transaction process, and guarantee that transaction records and payment records cannot be tampered with. BF-IBE algorithm is introduced to encrypt transaction records to solve the problem of transaction information exposure and ensure its confidentiality. And InterPlanetary file is used for distributed storage of encrypted orders to improve the storage and query efficiency. Based on smart contract and blockchain technology, traceable supervision of capital flow is conducted to solve the problem of unsatisfactory capital supervision and ensure the correctness and integrity of capital flow. Smart contracts and digital signature technology are combined to authenticate users to ensure the integrity of logistics data, only allowing legitimate users to modify logistics information. Finally, the security proof and experimental simulation and testing are carried out on the new system, the off-chain and on-chain computing efficiency and resource consumption are analyzed in detail, and the results show that the solution is secure and efficient.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124278708","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

BP neural network based wireless sensor network for solar energy prediction 基于BP神经网络的无线传感器网络太阳能预测

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2678916

Hongyi Duan, Jianan Zhang, Haohui Peng

{"title":"BP neural network based wireless sensor network for solar energy prediction","authors":"Hongyi Duan, Jianan Zhang, Haohui Peng","doi":"10.1117/12.2678916","DOIUrl":"https://doi.org/10.1117/12.2678916","url":null,"abstract":"Wireless sensor networks are generally deployed in remote areas and areas with complex geographical environments. It is difficult to replace sensor node batteries. Energy acquisition sensor network nodes are powered by solar cells to provide energy to wireless sensor nodes. The randomness and uncertainty of solar energy in the monitoring area make it impossible to continuously provide energy for sensor network nodes. By predicting the results of solar energy and combining the information collected by the wireless sensor network, the energy usage of wireless sensor network nodes is reasonably planned, thereby improving wireless transmission. sensor network lifetime and the accuracy and reliability of sensor node measurement information. Prediction of solar energy in the monitoring area is an important part of improving the monitoring quality and life of wireless sensor networks. In this paper, the BP neural network combined with the climatic factors in the wireless sensor network monitoring area, such as illumination, the average diffuse reflection intensity of the solar panel on the day, etc., are used as reference data to predict the solar energy in the wireless sensor network monitoring area. Compared with the traditional Exponentially Weighted Moving Average algorithm (EWMA), the error rate of the prediction results is lower, and the prediction effect is better due to the comprehensive consideration of various climatic factors.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114765495","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

UAV path planning based on improved ant colony algorithm 基于改进蚁群算法的无人机路径规划

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2678893

Guangxing Li, Yuan Li

引用次数: 0

Mobile user experience classification based on random forest model 基于随机森林模型的移动用户体验分类

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679072

Quan Zhou

{"title":"Mobile user experience classification based on random forest model","authors":"Quan Zhou","doi":"10.1117/12.2679072","DOIUrl":"https://doi.org/10.1117/12.2679072","url":null,"abstract":"In the future, various factors affecting user satisfaction will be analyzed through the survey results to provide the basis for decision-making, to achieve earlier and more comprehensive improvement in user satisfaction. This paper constructs a random forest model to explore the influencing factors of mobile user scoring. Foremost, preprocess the acquired data. Different data are processed differently. The continuous variables are inserted by mean value. Delete obvious abnormal samples. The string variable uses mode to fill in or delete the sample, which is explained in detail in the text. Label coding and unique coding are carried out for the category feature data, feature construction is carried out, and the information field of opinion type (non-stereotyped) is deleted. A random forest classification model is established for the processed data to predict the sample score. In order to make the model more optimized, the Bayesian parameter adjustment method is used to make the model achieve the optimal effect. The results show that the random forest algorithm plays an important role in user rating prediction and will play an important role in service improvement and guiding the development direction in the future.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555490","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

Development and deployment of a responsive library platform based on Docker and SSM 基于Docker和SSM的响应式库平台的开发和部署

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679069

Cailing Wang, Yiming Wang, Jing Zhang

引用次数: 0

System design of variable universe fuzzy vehicle temperature control box with diagnostic function 具有诊断功能的变域模糊汽车温控箱系统设计

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2023-05-08 DOI: 10.1117/12.2679242

Bo Feng, Xing Chen

引用次数: 0