ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal最新文献_第3页

An Intelligent Program to Monitor 3D Printing and Detect Failures using Computer Vision and Machine Learning 使用计算机视觉和机器学习监控3D打印和检测故障的智能程序

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130713

Christine Li, Yujia Zhang

引用次数: 0

A Review of Research in First-Stage Retrieval 第一阶段检索研究综述

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130705

Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li

引用次数: 0

A Modular Hierarchical Model for Paper Quality Evaluation 论文质量评价的模块化层次模型

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130702

Xi Deng, Shasha Li, Jie Yu, Jun Ma, Bing Ji, Wuhang Lin, Shezheng Song, Zibo Yi

{"title":"A Modular Hierarchical Model for Paper Quality Evaluation","authors":"Xi Deng, Shasha Li, Jie Yu, Jun Ma, Bing Ji, Wuhang Lin, Shezheng Song, Zibo Yi","doi":"10.5121/csit.2023.130702","DOIUrl":"https://doi.org/10.5121/csit.2023.130702","url":null,"abstract":"Paper quality evaluation is of great significance as it helps to select high quality papers from the massive amount of academic papers. However, existing models needs improvement on the interaction and aggregation of the hierarchical structure. These models also ignore the guiding role of the title and abstract in the paper text. To address above two issues, we propose a well-designed modular hierarchical model (MHM) for paper quality evaluation. Firstly, the input to our model is most of the paper text, and no additional information is needed. Secondly, we fully exploit the inherent hierarchy of the text with three encoders with attention mechanisms: a word-to-sentence(WtoS) encoder, a sentence-to-paragraph(StoP) encoder, and a paper encoder. Specifically, the WtoS encoder uses the pre-trained language model SciBERT to obtain the sentence representation from the word representation. The StoP encoder lets sentences in the same paragraph interact and aggregates them to get paragraph embeddings based on importance scores. The paper encoder does interaction among different hierarchical structures of three modules of a paper text: the paper title, abstract sentences, and body paragraphs. Then this encoder aggregates new representations generated into a compact vector. In addition, the paper encoder models the guiding role of the title and abstract, respectively, generating another two compact vectors. We concatenate the above three compact vectors and additional four manual features to obtain the paper representation. This representation is then fed into a classifier to obtain the acceptance decision, which is a proxy for papersÃ¢â‚¬â„¢ quality. Experimental results on a large-scale dataset built by ourselves show that our model consistently outperforms the previous strong baselines in four evaluation metrics. Quantitative and qualitative analyses further validate the superiority of our model.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"90 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80391668","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 Powerful Chrome Extension: Translation Program using Python, Website Analysis and Google Firebase Services 一个强大的Chrome扩展:翻译程序使用Python，网站分析和谷歌Firebase服务

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130716

Tongde Zhao, Khoa Tran

{"title":"A Powerful Chrome Extension: Translation Program using Python, Website Analysis and Google Firebase Services","authors":"Tongde Zhao, Khoa Tran","doi":"10.5121/csit.2023.130716","DOIUrl":"https://doi.org/10.5121/csit.2023.130716","url":null,"abstract":"The last few decades have seen a remarkable development technological wise in order to provide understanding between people with different language backgrounds. This paper develops a Chrome Extension that scans texts on a website and discovers unfamiliar English words to its users, then translates those words and displays their meanings onto their computer screens. Using Python with Flask framework and Google Firebase as a backend means, this Chrome Extension can be downloaded on any Chrome Browser and provide definitions to difficult words on websites that users want to get translated. The extension is useful to those who are having a hard time understanding difficult English vocabulary. In the experiment, the application has shown to detect 95 to 98% of the difficult words users are struggling with, with the speed of 10 minutes for documents that have more than 2000 words. The results show that the application provides adequate predictions for most users. For this application, I took data reliability, usability, and web-scrapping into consideration. The extension required ample reliable data, user-friendly interface, and a stable Internet browser for usage.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"21 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91243304","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

IOT Network Proposal for the Identification, Monitoring and Location of Crocodiles in the Estuary of Puerto Vallarta, Jalisco, Mexico 墨西哥哈利斯科州巴亚尔塔港河口鳄鱼识别、监测和定位的物联网网络方案

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130715

Miguel Angel Gallardo Lemus, J. C. Ramos, R. O. D. Arcega

{"title":"IOT Network Proposal for the Identification, Monitoring and Location of Crocodiles in the Estuary of Puerto Vallarta, Jalisco, Mexico","authors":"Miguel Angel Gallardo Lemus, J. C. Ramos, R. O. D. Arcega","doi":"10.5121/csit.2023.130715","DOIUrl":"https://doi.org/10.5121/csit.2023.130715","url":null,"abstract":"In the city of Puerto Vallarta, in Mexico, there are crocodiles, distributed in the BahÃƒa de Banderas area, between the states of Nayarit and Jalisco. Man invaded their habitat, forcing them to look for those spaces they naturally occupied, generating confrontations. This work describes and gives the background of the problem, as well as a possible way to mitigate the situation, the use of IOT technology is proposed to monitor the location of each crocodile and the definition of risk zones to warn of possible dangerous situations. Therefore, the design proposal of a network of wireless sensors for the monitoring of crocodiles that are found in the area of the estuary and the Marina, which is an area surrounded by commercial and residential areas, is carried out. The use of a LORA network is proposed, since the coverage of the Coast, mangrove swamp and Marina is around 8 km. Also, a star topology with a single hub and a gateway node was chosen to send the data to a server. A NoSQL database service such as Firebase and data visualization software using React Native are proposed. The data of interest for the project will only be the latitude and longitude provided by the GPS and that will be decoded through an mkr 1300 development card. With the application of the project it is possible to know the behavior of the reptiles, act quickly in case that the crocodiles are outside their natural area and notify Civil Protection.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"17 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75014267","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 Data-Driven Application for Matching Student Traits with Learning Opportunities using Artificial Intelligence 使用人工智能将学生特征与学习机会相匹配的数据驱动应用

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130714

Chongda You, Andrew Park

引用次数: 0

Developing an Objective Refereeing System for Fencing: Using Pose Estimation Algorithms and Expert Knowledge Systems to Determine Priority and Ensure Fairness 开发一个客观的击剑裁判系统:使用姿态估计算法和专家知识系统来确定优先级和确保公平性

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130710

Haokai Zhou, Aleksandr Smolin

{"title":"Developing an Objective Refereeing System for Fencing: Using Pose Estimation Algorithms and Expert Knowledge Systems to Determine Priority and Ensure Fairness","authors":"Haokai Zhou, Aleksandr Smolin","doi":"10.5121/csit.2023.130710","DOIUrl":"https://doi.org/10.5121/csit.2023.130710","url":null,"abstract":"Fencers in foil and sabre are often concerned with their referees' preferences when determining priority, which determines who receives the point in a bout [1]. Oftentimes, humans fail to rationally determine priority and apply the rules fairly, leading to inconsistencies in decisions in the same bout. This often causes heated arguments and much discord in fencing competitions [2]. This paper develops software to identify fencers on a video recording, locate key points in their body's structure, record their movements and critical metrics about their performance, and match them with an objective expert knowledge system in order to determine who truly has priority at any given time in the match. We tested out several pose estimation algorithms, such as Yolov5, Yolov7, and MediaPipe in order to determine which one has better accuracy and performance in order to be able to deliver precise, unbiased, and fair refereeing decisions in a short period of time, and then allow the referees to reference the logic behind the decision, as well as see all the data that the decision was based upon in order to validate its veracity [3][4]. We also use caching technology to be able to quickly reload and review previous decisions in case any doubt about the bout's outcome arises post-fact.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"31 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82050872","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 Kriging-HDMR Combined with Adaptive Proportional Sampling for Multi-Parameter Approximate Modeling 结合自适应比例采样的Kriging-HDMR多参数近似建模

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130708

{"title":"A Kriging-HDMR Combined with Adaptive Proportional Sampling for Multi-Parameter Approximate Modeling","authors":"","doi":"10.5121/csit.2023.130708","DOIUrl":"https://doi.org/10.5121/csit.2023.130708","url":null,"abstract":"High-dimensional complex multi-parameter problems are commonly in engineering, while the traditional approximate modeling is limited to low or medium dimensional problems, which cannot overcome the dimensional disaster and greatly reduce the modelling accuracy with the increase of design parameter space. Therefore, this paper combined Kriging with Cut-HDMR, proposed a developed Kriging-HDMR method based on adaptive proportional sampling strategy, and made full use of Kriging's own interpolation prediction advantages and corresponding errors to improve modelling efficiency. Three numerical tests including coupling test, high-dimensional nonlinear test and calculation cost test were used to verify the effectiveness of the algorithm, and compared with the traditional Kriging-HDMR and RBF-HDMR in R2 , REEA and RMEA measuring the approximate accuracy, results show that the improved Kriging-HDMR greatly reduces the sampling cost and avoids falling into local optima. In addition, at the same calculation cost, when the scale coefficient is 1/2, Kriging-HDMR has higher global approximate accuracy and stronger algorithm robustness, while preserving the hierarchical characteristics of coupling between input variables.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"4 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83748803","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

An Automated Generation from Video to 3D Character Animation using Artificial Intelligence and Pose Estimate 使用人工智能和姿态估计从视频到3D角色动画的自动生成

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130703

Daniel Haocheng Xian, Jonathan Sahagun

引用次数: 1

Role of Image Processing in Dentistry – A Systematic Review 图像处理在牙科中的作用-系统综述

IF 1.4

ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI: 10.5121/csit.2023.130709

Ramyaalakshmi A, P. S.

引用次数: 0