{"title":"Exploring Large-Scale 3d Donation Networks: A Visualization System for Immersive and Playful Philanthropic Experiences","authors":"Jialiang Liu, Moddwyn Andaya","doi":"10.5121/csit.2023.131511","DOIUrl":"https://doi.org/10.5121/csit.2023.131511","url":null,"abstract":"Currently, there is a significant rise in the popularity of 3D donation programs, wherein numerous participants actively engage in mutual acts of charitable giving. Drawing upon extensive research conducted within these virtual philanthropic communities, we have developed and implemented a visualization system aimed at providing users with an immersive and playful experience while exploring and navigating large-scale 3D donation networks. Our design leverages familiar three-dimensional representations to introduce novel techniques for comprehending the interconnectedness of complex donation structures, supporting visual analysis and search capabilities, as well as automatically identifying and visualizing philanthropic clusters. Through public installations and controlled studies, our system has demonstrated its usability, ability to facilitate discovery, and potential for fostering enjoyable and socially engaging philanthropic activities.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"172 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127497765","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":"Video Classification-Based Action Recognition with Enhanced Convolutional Neural Networks","authors":"B. Mei","doi":"10.5121/csit.2023.131506","DOIUrl":"https://doi.org/10.5121/csit.2023.131506","url":null,"abstract":"The classification of videos has become increasingly important in the field of data science research, as it has numerous practical applications in modern society. Compared to image classification, video classification poses a significantly greater challenge. One of the most obvious difficulties is that video classification tasks require more powerful computers due to the large number of features that need to be computed. Additionally, conventional 2D Convolutional Neural Networks (2D CNNs) are not effective in handling such tasks. This paper proposes a novel 2-layer Convolutional Neural Network (CNN) architecture for action recognition that addresses these challenges. The proposed architecture achieved a high test accuracy of 79.66% for classifying large video clips. The results indicate the effectiveness of the proposed approach for video classification tasks.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366044","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":"Survival Quest: Raising Awareness for Endangered Species Through the Panda Game Created with Unity","authors":"Zeyu Zhang, J. Morris","doi":"10.5121/csit.2023.131510","DOIUrl":"https://doi.org/10.5121/csit.2023.131510","url":null,"abstract":"The goal of this project is to bring up awareness on the safety of endangered species by creating an educational game called \"Panda.\" [4]. By selecting a panda as the main character, which symbolizes endangered species, the game aims to engage players in learning about the challenges these animals face [5]. In the game, players manipulate a panda and strive to survive as long as possible while encountering various threats such as car accidents, predators, and hunters. To enhance the educational aspect, a fact sheet pops up after each panda death, informing the player about the human causes behind the panda's demise and suggesting preventive measures. For instance, if a panda dies in a car accident, the fact sheet would highlight the staggering statistic of 1 to 2 million wildlife deaths caused by car accidents annually in the U.S. It would also recommend supporting the Roadless Rule as a means to reduce such accidents [6]. Although the proposed solution is promising, its effectiveness still requires validation as the game is relatively unknown and has been played by only a few individuals. Future plans involve conducting surveys among a larger player base to assess the game's impact and ascertain whether the desired awareness and behavioral changes regarding endangered species conservation are achieved.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125195101","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}