Proceedings of the 11th International Conference on Software and Information Engineering最新文献

{"title":"Big Data Statistics of Logistics Warehousing Supply and Demand in Key Cities of Central and Western China Based on Baidu Index and Warehouse in Cloud","authors":"Zhe Wang, Juan Huang, Lijuan Xu, Han Yang, S. Li, Lin Zhou","doi":"10.1145/3571513.3571518","DOIUrl":"https://doi.org/10.1145/3571513.3571518","url":null,"abstract":"Based on the Baidu Index, taking \"warehousing\" and \"warehouse\" as the keywords, the Baidu search index of \"warehousing\" and \"warehouse\" nationwide is statistically analyzed. It is found that the Baidu search index with \"warehousing\" and \"warehouse\" as the keywords has significantly increased before and after the COVID-19 epidemic, which shows that the basic role of logistics warehousing in the national economic and social development is increasingly obvious, and the corresponding demand for logistics warehousing is growing. Based on the big data of Warehouse in Cloud, incomplete statistics of \"warehousing demand\" of \"demand location\" in China's provinces are similar to the analysis of differences in the source places (regions and provinces) of different search groups through the \"population portrait\" of Baidu Index. The \"warehousing demand\" and \"warehousing supply\" of the key cities in central and Western China are counted. Focusing on the key cities in central and Western China, the correlation analysis of warehousing rent and demand area is carried out. It is found that, on the one hand, the regional logistics warehousing demand is 3 years (the lease term is less than 1 year or 1-3 years), with intra-period volatility. On the other hand, regional centers (National Central Cities) have absolute advantages in the attraction of regional logistics and warehousing. Furthermore, in recent years, due to the impact of the COVID-19 epidemic and extreme meteorological and geological disasters, the adverse impact on the regional economic and social development will show that the demand for logistics and warehousing will be interrupted, reduced and lagged, and the growth will be restored in subsequent years. The average rent of key cities in Western China is 22.52 yuan/m2·month, the average vacancy rate is 11.65%, and there are 1359 warehouses in the park. The average rent of key cities in the central region is 23.5 yuan/m2·month, the average vacancy rate is 13.86%, and there are 1070 warehouses in the park. From the perspective of rent, Changsha shows the highest rent, while Taiyuan shows the lowest rent. Furthermore, the vacancy rate of Chongqing and Xi'an are the highest and lowest, respectively. There is a correlation between the variable of warehousing rent in 2022 and the total retail sales of consumer goods in 2021 (Spearman correlation coefficient is significant). There is a correlation between the variable of average warehousing demand area in 2019-2021 and the sample of the third industry production value in 2021 and the sample variable of total import and export volume of goods in 2021 (Pearson correlation coefficient is significant). The variable of average warehousing demand area in 2019-2021 and the sample variable of resident population. There is a correlation between the total retail sales of social consumer goods in 2021 (Spearman correlation coefficient is significant). On the one hand, the statistical analysis of big data on the digital ","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114166822","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":"Text Analysis and Application of Tomato Diseases","authors":"Yingying Liu, Tianxing Zhang","doi":"10.1145/3571513.3571521","DOIUrl":"https://doi.org/10.1145/3571513.3571521","url":null,"abstract":"This paper focuses on text analysis and application of tomato diseases. In this study, the data of tomato disease samples were obtained and screened by web crawler method and literature analysis method. Combined with Chi-Square Statistic, similarity analysis, classification analysis and other data analysis and mining methods, this study explored and mined the internal correlation and similarity of 47 common infectious tomato diseases, and trained classification models for tomato disease diagnosis. The result shows that the method of tomato disease analysis and diagnosis based on text analysis adopted in this paper can be applied to other plant disease diagnosis, and has certain application and promotion value.","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130988512","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":"Non-Technical Loss Detection Based on Electricity Consumption Data: A Case Study in Ecuador","authors":"Holger Cevallos-Valdiviezo, Miguel Valero-Carrera, Ariana Rodríguez-Cristiansen, Patricia Valdiviezo-Valenzuela, Erasmo García-Ochoa, Danny Arévalo-Avecillas","doi":"10.1145/3571513.3571525","DOIUrl":"https://doi.org/10.1145/3571513.3571525","url":null,"abstract":"The Detect Deviating Cells (DDC) technique is applied to detect energy fraudulent customers and other irregularities based on consumption data from the public electric company supplier in Guayaquil-Ecuador. DDC successfully detected a fraction of 93% of fraudulent customers and captured the periods with irregular consumption in most cases. DDC also flagged new fraudulent customers and other irregularities that were later confirmed from new inspections made by the supplier company. DDC is therefore a cheap and effective alternative to on-site inspections for detecting energy fraud and other irregularities associated to non-technical losses.","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125441876","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":"Educational Information Recommendation System for College Design Based on Apriori Algorithm","authors":"Pan Xiao","doi":"10.1145/3571513.3571516","DOIUrl":"https://doi.org/10.1145/3571513.3571516","url":null,"abstract":"Educational information recommendation service is an important factor in realizing educational information sharing. In the massive educational information, users can quickly find the educational information resources they need, meet users' learning needs, and bring users a good learning experience. This paper designs an educational information recommendation system for colleges and universities. The functions provided by the system to users are mainly to facilitate the use of educational information resources. Users can choose subjects or courses to browse resources according to their own interests. This paper uses Mashup technology to integrate various educational information resources, realizes the function of educational information recommendation, and then uses the Apriori algorithm to mine the characteristics of association rules, and obtains the evaluation results of educational resources according to the user's interest in educational resources.","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128824809","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":"Internet of Things (IoT) Authentication and Integrity Model using MBTSKHF One Time Password (OTP)","authors":"Sara El-Sayed Khater, Basheer Abd Elfattah Youssef, S. El-Gamal","doi":"10.1145/3571513.3571530","DOIUrl":"https://doi.org/10.1145/3571513.3571530","url":null,"abstract":"The Internet of Things is a network of physical objects like sensors, actuators, and software. The purpose of connecting is to exchange data with other objects and systems over the internet, enabling us to enhance data collection, minimize human efforts, save time, and make decisions. Secure that network is the most important IoT challenge, so we use ways to securely access all objects in the IoT network that are known with IoT authentication. Most of the attacks come from plain security problems, for example, the weakness of passwords, these techniques have some disadvantages; Password depends on user memory, and most people use default password which is vulnerable to attacks. This paper compares different IoT authentication schemes. Also, present an analysis of the different generation One Time Password (OTP) schemes like Lamport OTP, Elliptic Curve, and HOTP. The paper provides a simple light model using OTP-based MBTS KHF (Moataz, Basheer, Tarek, Salwa keyed hashing function). our model achieves high-level security with a very shorter key size and solves key size and key store problems than the other algorithms. Also, the paper model prevents users from initializing multiple connections for authentication to prevent attackers from guessing OTP.","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126553863","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":"The emergence of Community Knowledge in a Complex network-based Folksonomy Self-organization mode","authors":"Fu Jin, Yuanyuan Wang","doi":"10.1145/3571513.3571524","DOIUrl":"https://doi.org/10.1145/3571513.3571524","url":null,"abstract":"The paper describes the internal mechanism of community knowledge emergence and optimizes the management model of innovation outcomes within labeled communities. Drawing on the triple helix model proposed the Folksonomy community knowledge emergence mechanism and visualized using Citespace software to analyze the authors’ collaboration network. According to the study, the mechanism of the community self-organizing emergence system is composed of three subjects: labeling behavior, Hub emergence, and structural pluralism, and there has the clear Matthew effect and giant branching structure within it. The conclusion has an important significance to the study of the application of community knowledge emergence networks.","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131493419","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":"Application of Blockchain Technology in Community-Based Home Elderly Care Services under Population Aging","authors":"Yan Zhang","doi":"10.1145/3571513.3571528","DOIUrl":"https://doi.org/10.1145/3571513.3571528","url":null,"abstract":"In recent years, against the background of the deepening aging population, traditional elderly care services are facing the need for transformation. The application of new technologies such as blockchain has provided new ideas to solve the problem of aging population and promoted the upgrading of the elderly service industry. It is an inevitable trend to improve home-based, community-based and institutional-based elderly care service networks. The development of community-based home elderly care services is in line with the traditional concept of home-based elderly care and also brings new incentives to the silver economy. The government should work together with social forces to build a service system of community-based home elderly care services, so as to improve the quality of elderly care service and provide inclusive elderly care services. In this paper, a system using blockchain technology is designed for community-based home elderly care services. On the one hand, this system integrates the volunteer service resources and precisely matches the service demands of the elderly so as to provide accurate and professional services in the community. On the other hand, the system converts these service hours into \"points\", which is recorded in point center, to support the volunteers' future elderly care services. In addition, the application of blockchain in the intelligent elderly care service system can realize the data interconnection between multiple subjects such as elderly care institutions and medical institutions. Therefore, it can see that the improvement of community-based home elderly care services and the continuous upgrading of elderly care service technology will bring better care experience to the elderly.","PeriodicalId":295226,"journal":{"name":"Proceedings of the 11th International Conference on Software and Information Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123866759","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}