Advanced Information Technologies and Applications最新文献

Advanced Clutter Mitigation Method for Surveillance Radar using Machine Learning 基于机器学习的监视雷达高级杂波抑制方法

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130609

Malwinder Singh, Shashi Ranjan Kumar, Bhukya Soumya Mishra

引用次数: 0

An Application that Combines Learning and Games to Make Learners Keep Interested in Learning 一个结合了学习和游戏的应用程序，使学习者保持对学习的兴趣

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130611

L. Zhang, Yu Sun

{"title":"An Application that Combines Learning and Games to Make Learners Keep Interested in Learning","authors":"L. Zhang, Yu Sun","doi":"10.5121/csit.2023.130611","DOIUrl":"https://doi.org/10.5121/csit.2023.130611","url":null,"abstract":"Learning a new language and a new culture is always fun and interesting at the beginning. However, when learners get deeper into the learning process, they find that whether it is memorizing vocabulary, learning dif erent types of grammar, or learning a new culture that is completely dif erent from the learner's country, it becomes very dif icult and learners gradually lose their enthusiasm for learning. Also, some of the textbooks right now are published a long time ago. Teaching some 20 or 30 years ago’s culture won't help the learner and may make them misunderstand the modern culture of that country. So, why can't we give the learner more accurate information and keep the learning process as fun as ever? This paper designs a software that combines the games and learning together. By setting up dif erent scenarios, building a variety of representative buildings, adding various characters to communicate with, designing dif erent culturally significant objects, and conceiving an interesting story plot to let people who are learning a new language or culture can learn in a unique and more fun way. After applying the app to language schools, Japanese language learner communities, and the Internet, the results showed that the app makes learners learn in a more relaxed atmosphere and makes them want to learn more.","PeriodicalId":110134,"journal":{"name":"Advanced Information Technologies and Applications","volume":"348 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317085","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

SmartYoutuber: A Data-driven Analytical Platform to Improve the Subscriber Growth and Sustainability using Artificial Intelligence and Big Data Analysis SmartYoutuber:一个数据驱动的分析平台，利用人工智能和大数据分析来提高用户增长和可持续性

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130605

{"title":"SmartYoutuber: A Data-driven Analytical Platform to Improve the Subscriber Growth and Sustainability using Artificial Intelligence and Big Data Analysis","authors":"","doi":"10.5121/csit.2023.130605","DOIUrl":"https://doi.org/10.5121/csit.2023.130605","url":null,"abstract":"Youtuber is a new type of freelancer, whose economic profit and personal reputation are highly decided by their own popularity on the Internet, which can be reflected directly by the number of subscribers accumulated. In order to develop the management of YouTube channels and get more advertisement benefits, youtubers need to maintain the current subscriber group and appeal to more new followers by making attractive videos. But they lack efficient methods to analyze their video quality and their communication with subscribers so that they can predict their future development and adjust present strategies. In this paper, we applied several machine learning algorithm and models to study the prediction of short and long term future subscriber increase (we call them as growth and sustainability of youtubers) by analyzing youtuber-related information including video content(e.g. topic type, video tags, etc.) and subscriber interaction(e.g. views, likes, comments, etc.). One highest-scoring regression algorithm is proposed to make the out-performing prediction for certain youtubers, and we have proven its rationality and high accuracy in predicting the growth and sustainability of YouTube subscribers with suitable configuration. Apart from establishing algorithms, a relevant website, which offers services for future prediction and improvement suggestions, is created based on the established random forest regression algorithm. This application allows youtubers to completely analyze their current management situation and assists them to increase popularity for both social and economic benefits.","PeriodicalId":110134,"journal":{"name":"Advanced Information Technologies and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131506200","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

De-Biasing Rating Propensityalgorithmin Group Recommendation 群体推荐中的去偏见评级倾向算法

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130608

Junjie Jia, Tianyue Shang, Si Chen

引用次数: 0

GSVD: Common Vulnerability Dataset for Smart Contracts on BSC and Polygon GSVD:基于BSC和多边形的智能合约通用漏洞数据集

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130601

{"title":"GSVD: Common Vulnerability Dataset for Smart Contracts on BSC and Polygon","authors":"","doi":"10.5121/csit.2023.130601","DOIUrl":"https://doi.org/10.5121/csit.2023.130601","url":null,"abstract":"The blockchain 2.0 age, marked by smart contract and Ethereum, has arrived couple years ago. Its technologies have expanded the application scenarios of blockchain technology and driven the boom of decentralized Finance. However, smart contract vulnerabilities and security issues are also emerging one after another. Hackers have exploited these vulnerabilities to cause huge economic losses. In recent years, a large amount of research on the analysis and detection of smart contract vulnerabilities has emerged, but there has been no common detection tool and corresponding test dataset. In this paper, we build GSVD dataset (Generalized Smart Contract Vulnerability Dataset) consisting four offline datasets using smart contracts on two chains, Polygon and BSC: two small Solidity datasets consisting of 153 labeled smart contract source codes, which can be used to test the performance of vulnerability mining tools; two large Solidity datasets consisting of 52,202 un labeled real smart contract source codes that can be used to verify the correctness of various theories and tools under a large number of real data conditions. At the same time, this paper integrates the scripting framework accompanying the GSVD dataset, which can execute a variety of popular automated vulnerability detection tools on top of these datasets and generate analysis results of contracts and potential vulnerabilities. We tested the Minor dataset under GSVD using three tools (Slither, Manticore, Mythril) that are kept up to date and found that the combined use of all tools detected 61.1% of labeled vulnerabilities, of which Mythril has the highest detection rate of 42.6%. It is not difficult to conclude that there`re still ample room for advancement for current smart contract vulnerability mining tools because of their underlying methods. Besides, our dataset can contribute to the ultimate target greatly by providing mining tools plenty real contracts information.","PeriodicalId":110134,"journal":{"name":"Advanced Information Technologies and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129009215","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

MVMNET: Graph Classification Pooling Method with Maximum Variance Mapping 基于最大方差映射的图分类池化方法

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130613

Lingang Wang, Lei Sun

{"title":"MVMNET: Graph Classification Pooling Method with Maximum Variance Mapping","authors":"Lingang Wang, Lei Sun","doi":"10.5121/csit.2023.130613","DOIUrl":"https://doi.org/10.5121/csit.2023.130613","url":null,"abstract":"Graph Neural Networks (GNNs) have been shown to effectively model graph-structured data for tasks such as graph node classification, link prediction, and graph classification. The graph pooling method is an indispensable structure in the graph neural network model. The traditional graph neural network pooling methods all employ downsampling or node aggregating to reduce graph nodes. However, these methods do not fully consider spatial distribution of nodes of different classes of graphs, and making it difficult to distinguish the class of graphs with spatial locations close to each other. To solve such problems, this article proposes a Maximum Variance graph feature Multistructure graph classification method (MVM), which extracts graph information from the perspective of graph nodes feature and graph topology. From the nodes feature perspective, we enlarge the variance between different classes while maintaining the variance between the same class of data. Then the hierarchical graph convolution and pooling are performed from a topological perspective and combined with a CNN readout mechanism to preserve more graph information to obtain a graph-level representation with strong discrimination. Experiments demonstrate that our method outperforms several number of state-of-the-art graph classification methods on multiple publicly available datasets.","PeriodicalId":110134,"journal":{"name":"Advanced Information Technologies and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127210658","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

AI Golf Coach: A Pose-Based Golf Coaching System using Artificial Intelligence and Computer Vision AI高尔夫教练:利用人工智能和计算机视觉的基于姿势的高尔夫教练系统

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130607

Andy C. Yu, Yu Sun

{"title":"AI Golf Coach: A Pose-Based Golf Coaching System using Artificial Intelligence and Computer Vision","authors":"Andy C. Yu, Yu Sun","doi":"10.5121/csit.2023.130607","DOIUrl":"https://doi.org/10.5121/csit.2023.130607","url":null,"abstract":"In the sport of golf, several main mechanics in each successful golf swing bring consistency [1]. In addition, there are specific nuances in the golf swing that may be difficult for recreational players to analyze and detect. The main question is how an app can potentially detect these main techniques and compare them when inputting two different golf swings. Guided by Mediapipe and cv2 technologies, we have built software to analyze two golf swings simultaneously, and to compare them with one another, all into a smartphone application [2][3]. This paper will discuss key technologies that were utilized to create the program, the various challenges that were faced in the process of creating the software, along with our methodologies [4]. The end result was an application that would detect various angles created based on certain golf positions, and then utilize them to compare with another video, whether that be a professional player or a friend’s golf swing. Using a Python backend and a Flutter-based frontend, the program can be utilized through a mobile device, and thus makes the program accessible to the public [5]. With the publishing of this application, users can start to deconstruct their own golf mechanics without the complications and the high fee that is generally charged for one-on-one coaching.","PeriodicalId":110134,"journal":{"name":"Advanced Information Technologies and Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122817189","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: 1

Practical Applications to Prevent Cyberattacks on Internet on Battlefield Things (IoBT) 防止网络攻击在战场物联网(IoBT)中的实际应用

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130602

P. Sharma, Lotfollah Najjar, S. Srinivasan

引用次数: 0

An Autochess Game Designed to Improve the Critical Thinking Skills of its Players 一款旨在提高玩家批判性思维技能的自动象棋游戏

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130612

Yinjie Wu, Yu Sun

引用次数: 0

Multi-View Three-Dimensional Reconstruction based on a Two-Stage Multi-Level Depth Network for Agriculture Applications 基于两阶段多层次深度网络的农业多视角三维重建

Advanced Information Technologies and Applications Pub Date : 2023-03-25 DOI: 10.5121/csit.2023.130610

Li Guo, Yi-ping Shi, Dinfei Jin

{"title":"Multi-View Three-Dimensional Reconstruction based on a Two-Stage Multi-Level Depth Network for Agriculture Applications","authors":"Li Guo, Yi-ping Shi, Dinfei Jin","doi":"10.5121/csit.2023.130610","DOIUrl":"https://doi.org/10.5121/csit.2023.130610","url":null,"abstract":"To address the problems appearing in multi-view three-dimensional (3D) reconstruction, such as the improvement of the accuracy and completeness of the 3D reconstructed images, a two-stage multi-level depth network is proposed. In the stage 1 of the proposed network, several convolutional block attention modules (CBAMs) are applied in the lateral connections of the feature pyramid network (FPN). This is targeted to enhance the spatial and channel relativity of the different hierarchical feature maps so as to bring more semantic information. In the stage 2, the obtained multi-scale feature maps in the stage 1 are tackled by a set of cascaded processing procedures, such as adaptive propagation, single-trees transform, and matching cost computation. As a result, a depth map could be generated and then be further refined in the processing. Comparing with other state-of-the-art methods, the subjective and objective experiments based on the DTU dataset show that our method performs better result in completeness meanwhile maintaining a considerable overall metric. The investigation of applying the proposed method for reconstructing agricultural crop images was carried out, which is based on a set of self-collected images. The experiment shows that a suitable human visual perception for the images could be obtained.","PeriodicalId":110134,"journal":{"name":"Advanced Information Technologies and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115517612","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