Mob. Inf. Syst.最新文献

{"title":"Cardinality estimation via learned dynamic sample selection","authors":"Run-An Wang, Zhaonian Zou, Ziqi Jing","doi":"10.2139/ssrn.4359526","DOIUrl":"https://doi.org/10.2139/ssrn.4359526","url":null,"abstract":"","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"158 1","pages":"102252"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73148705","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":"Flexible temporal constraint management in modularized processes","authors":"Roberto Posenato, Combi Carlo","doi":"10.2139/ssrn.4359524","DOIUrl":"https://doi.org/10.2139/ssrn.4359524","url":null,"abstract":"","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"20 1","pages":"102257"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74400519","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":"Efficient query evaluation techniques over large amount of distributed linked data","authors":"Eleftherios Kalogeros, M. Gergatsoulis, M. Damigos, C. Nomikos","doi":"10.48550/arXiv.2209.05359","DOIUrl":"https://doi.org/10.48550/arXiv.2209.05359","url":null,"abstract":"As RDF becomes more widely established and the amount of linked data is rapidly increasing, the efficient querying of large amount of data becomes a significant challenge. In this paper, we propose a family of algorithms for querying large amount of linked data in a distributed manner. These query evaluation algorithms are independent of the way the data is stored, as well as of the particular implementation of the query evaluation. We then use the MapReduce paradigm to present a distributed implementation of these algorithms and experimentally evaluate them, although the algorithms could be straightforwardly translated into other distributed processing frameworks. We also investigate and propose multiple query decomposition approaches of Basic Graph Patterns (subclass of SPARQL queries) that are used to improve the overall performance of the distributed query answering. A deep analysis of the effectiveness of these decomposition algorithms is also provided.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"38 1","pages":"102194"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78067410","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":"Event-Case Correlation for Process Mining using Probabilistic Optimization","authors":"Dina Bayomie, Claudio Di Ciccio, J. Mendling","doi":"10.48550/arXiv.2206.10009","DOIUrl":"https://doi.org/10.48550/arXiv.2206.10009","url":null,"abstract":"Process mining supports the analysis of the actual behavior and performance of business processes using event logs. % such as, e.g., sales transactions recorded by an ERP system. An essential requirement is that every event in the log must be associated with a unique case identifier (e.g., the order ID of an order-to-cash process). In reality, however, this case identifier may not always be present, especially when logs are acquired from different systems or extracted from non-process-aware information systems. In such settings, the event log needs to be pre-processed by grouping events into cases -- an operation known as event correlation. Existing techniques for correlating events have worked with assumptions to make the problem tractable: some assume the generative processes to be acyclic, while others require heuristic information or user input. Moreover, %these techniques' primary assumption is that they abstract the log to activities and timestamps, and miss the opportunity to use data attributes. % In this paper, we lift these assumptions and propose a new technique called EC-SA-Data based on probabilistic optimization. The technique takes as inputs a sequence of timestamped events (the log without case IDs), a process model describing the underlying business process, and constraints over the event attributes. Our approach returns an event log in which every event is associated with a case identifier. The technique allows users to incorporate rules on process knowledge and data constraints flexibly. The approach minimizes the misalignment between the generated log and the input process model, maximizes the support of the given data constraints over the correlated log, and the variance between activity durations across cases. Our experiments with various real-life datasets show the advantages of our approach over the state of the art.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"46 10","pages":"102167"},"PeriodicalIF":0.0,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91502374","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":"Feature Extraction of Foul Action of Football Players Based on Machine Vision","authors":"Hao Guan, Hualiang Niu","doi":"10.1155/2022/7253159","DOIUrl":"https://doi.org/10.1155/2022/7253159","url":null,"abstract":"With the improvement of technology and tactics, the rhythm of football match is getting faster and faster, which leads to more intense competition behavior in a football match; the physical contact of both players is also increasing, and the frequency of fouls by football players is getting higher and higher. This leads to fouls by players. Because of the error of visual analysis, in the crowd of high-level football players, the traditional football players’ foul behavior feature extraction method has the problem of low precision of foul action feature extraction. This paper mainly studies the feature extraction of soccer players’ foul action based on machine vision. To solve these problems, this paper uses a machine vision-based football player foul action feature extraction method, using a machine vision system to obtain football player action image, based on threshold recognition algorithm to identify the football player’s foul action. Based on the recognition of the foul action image, the potential function sequence of the foul action sequence is established by the Harris 3D operator, and the characteristic data of football player foul action are filtered by the AdaBoost algorithm. The simulation results show that this method has high accuracy in identifying fouls in the range of high-level football players and effectively reduces the recognition error. The method proposed in this paper can effectively analyze the characteristics of foul action and help football clubs to develop more perfect tactics.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"44 1","pages":"7253159:1-7253159:6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75656154","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":"Enterprise Human Resources Recruitment Management Model in the Era of Mobile Internet","authors":"Yanhua Yang, Yu Wang","doi":"10.1155/2022/7607864","DOIUrl":"https://doi.org/10.1155/2022/7607864","url":null,"abstract":"In view of the low quality, low efficiency, and excessive restrictions of traditional talent recruitment and management methods, which can no longer meet the needs of talent recruitment and management under the current new economic situation, this urgent problem needs to be solved. With the development of mobile communication, intelligent terminal, and Internet technology, human resource signboard management is gradually transformed into the Internet model. This paper adopts the enterprise human resource recruitment management mode in the mobile Internet era. In order to prove the effectiveness of the algorithm proposed in this article, we carried out a large number of related experiments. The results show that the enterprise human resource recruitment management model in the mobile Internet era increased recruitment efficiency by 18%. Finally, the content studied in this article can provide some reference ideas for subsequent research.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"58 1","pages":"7607864:1-7607864:6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80527704","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":"A Novel UAV Path Planning Algorithm Based on Double-Dynamic Biogeography-Based Learning Particle Swarm Optimization","authors":"Y. Ji, Xinchao Zhao, Junling Hao","doi":"10.1155/2022/8519708","DOIUrl":"https://doi.org/10.1155/2022/8519708","url":null,"abstract":"Particle swarm optimization (PSO), one of the classical path planning algorithms, has been considered for unmanned aerial vehicle (UAV) path planning more frequently in recent years. A large amount of studies on UAV path planning based on modified PSO have been reported. However, most UAV path planning algorithms still optimize only one kind terrain problem which is mountain terrain. At the same time, many modified PSO algorithms also have some problems, such as insufficient convergence and unsatisfactory efficiency. In this paper, six kinds of terrain functions of UAV path planning are proposed to simulate real-world application. The terrain functions contain city, village without houses, village with houses, mountainous area without houses, mountainous area with houses, and mountainous area with a huge building. Inspired by CLPSO and BLPSO, we proposed a new double-dynamic biogeography-based learning particle swarm optimization (DDBLPSO) algorithm to solve these problems. The double-dynamic biogeography-based learning strategy replacing the traditional learning mechanism from the personal and global best particles is used to select the learning particles. In this strategy, each particle will learn from the better one of two selected particles which are not worse than itself. However, one random component of particle will replaced by corresponding component of other particle if all components of the particle only learn from itself. In this way, particles sufficiently learn from better objects and maintain the ability of jumping out of local optimality. The superiority of our algorithm is verified with four relevant algorithms, a PSO variant, and a BBO variant on the benchmark suite of CEC2015. Real-world application demonstrates that the algorithm we proposed outperforms four relevant algorithms, a PSO variant, and a BBO variant both in small-scale problems and large-scale problems. This paper shows a good application of our novel algorithm.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"7 1","pages":"8519708:1-8519708:23"},"PeriodicalIF":0.0,"publicationDate":"2022-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83147519","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 of Data Classification and Classification Management System for Big Data of Hydropower Enterprises Based on Data Standards","authors":"Wei Luo, Jian Xu, Ziqi Zhou","doi":"10.1155/2022/8103897","DOIUrl":"https://doi.org/10.1155/2022/8103897","url":null,"abstract":"The advent of the era of big data has had a great impact on traditional management methods, and companies have also begun to make changes. The management approach has changed from initially focusing on business development to now focusing on user experience and putting people first. The data standard classification management system is a system for management and analysis based on the database. Therefore, this article is based on data standards, taking hydropower companies as an example, to design and research the data classification management system to promote the operation and safety of hydropower companies. This article mainly uses the experimental method, data collection method, and algorithm analysis method to thoroughly understand and explore the content of this article. The experimental results show that the testability of this article can basically reach the general level, and the delay time of the system does not exceed 10 seconds, which can be applied to the company.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"38 1","pages":"8103897:1-8103897:7"},"PeriodicalIF":0.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73825193","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 a Services Architecture for Mobile-Based Agro-Goods Transport and Commerce System","authors":"Stivin Aloyce Nchimbi, Michael Kisangiri, M. Dida, A. Barakabitze","doi":"10.1155/2022/6041197","DOIUrl":"https://doi.org/10.1155/2022/6041197","url":null,"abstract":"Despite massive mobile phones adoption globally, Agriculture Supply Chain (ASC) in Tanzania is challenged by the low adoption of m-commerce integrated to m-payment and m-transport services as key information enablers for efficiently linking farmers to buyers. With such an inefficient and ineffective information gap, middlemen have become information custodians by decreasing farmers’ bargaining power in the market. In addressing the challenge, this study uses stakeholders to validate core services needed and proposes service architecture for Agro-Goods Transport and Commerce (AgroTC) system using installable and build-in mobile phone applications (internet web, mobile apps, and USSD). The proposed method appreciates a user-centric approach for system development. A scenario of the potato supply chain in Tanzania was considered where 2309 respondents were interviewed from farmers, buyers, and transport service providers from a predetermined sample size (n = 384) having a 95% confidence level. Data were collected using mobile phones configured with Open Data Kit (ODK) technology and analyzed using the R Studio tool with Pandas libraries. The results indicated that buyers were not interested in disease and land management information. Collectively, farmers (74%) and buyers (60%) highly demand m-commerce services as a virtual platform for linking them. Only farmers showed concern about disease management information. Furthermore, 35% of the farmers and 57% of the buyers need m-transport, whereas 35% of the farmers and 69% of the buyers need m-payment service. It was revealed that the remaining percentages lack knowledge on mobile phone features to perform online businesses. All transport service providers pointed to the challenge of existing middlemen in reaching customers and required technological change in managing transport systems. The proposed mobile-based AgroTC architecture provides a foundation business approach in Tanzania and many developing countries. System developers and innovators can use the proposed architecture design to design prototypes using the preferred language to meet ASC stakeholders’ needs and expectations.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"40 1","pages":"6041197:1-6041197:11"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81919930","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":"A Study on the Construction and Utilization of Korean Prehistoric Remains Database","authors":"Hee-Kon Choi, Jong-Youl Hong, Sangheon Kim, Kwang-soon Rim","doi":"10.1155/2022/7081286","DOIUrl":"https://doi.org/10.1155/2022/7081286","url":null,"abstract":"The excavation of the prehistoric sites in Korea has been on since the Japanese colonial period. However, it was only after the 1970s that it was undertaken in earnest. Many excavation research institutes, including state agencies, are still conducting excavation research. However, the excavation report, which summarizes the findings, is not serviced on an integrated platform. As a result, acquisition of integrated knowledge and research on Korea's prehistoric remains are not properly facilitated. Therefore, it is urgent to establish a database of prehistoric remains. This requires considering the characteristics of archeological excavation work and the specificity of publishing excavation reports. It is desirable to design and build database (DB) tables for excavation reports of relics and ruins, multimedia, and excavation investigations, by focusing on the DB table for prehistoric remains. Once the database is established, it will help expand cultural heritage information services through tools, such as electronic maps or the Internet of Things.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"1 1","pages":"7081286:1-7081286:12"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76946620","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}