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Factorial!: A Google Chrome Extension to Analyze and Rate News Articles using Machine Learning ! !:一个谷歌Chrome扩展分析和评级新闻文章使用机器学习
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131504
Daniel Miao, Tyler Liu, Andrew Park
{"title":"Factorial!: A Google Chrome Extension to Analyze and Rate News Articles using Machine Learning","authors":"Daniel Miao, Tyler Liu, Andrew Park","doi":"10.5121/csit.2023.131504","DOIUrl":"https://doi.org/10.5121/csit.2023.131504","url":null,"abstract":"The advent and spread of the internet has caused many users to favor the convenience and breadth of reporting that online news offers, whether it be from media companies or social platforms, which in turn has led to the monetization and corruption of said stories [4]. Large, company-owned news sites each try to appeal to only a few groups across the political spectrum, oftentimes sacrificing the indifference and integrity which serve as the tenets of honest journalism. We propose to aid in solving this problem a Chrome extension which serves to provide metrics, information, and line-by-line analysis of article text in order to help readers stay aware and healthily skeptical [5][6]. Using machine learning (ML) as well as traditional algorithms, we aim to provide key info on the article’s truthfulness as well as the source’s bias and ownership [7]. In this project, we used 3 main models, each to detect fake news, political leaning and sentiment, in addition to traditional criteria such as readability, # of words, and time to read. All of our models performed well both theoretically and practically, giving above 80% accuracy on all occasions.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"22 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":"116854369","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
Leader’s Legacy: An RPG Game to Bring Out the Leadership of its Players 《领袖的遗产:一款展现玩家领导力的RPG游戏
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131514
Chunxuan Zhang, Andrew Park
{"title":"Leader’s Legacy: An RPG Game to Bring Out the Leadership of its Players","authors":"Chunxuan Zhang, Andrew Park","doi":"10.5121/csit.2023.131514","DOIUrl":"https://doi.org/10.5121/csit.2023.131514","url":null,"abstract":"There has not been a sustainable amount of leaders matching up to the demand for such skill by 2030. Leader’s Legacy has been created to help alleviate the issue by presenting educational questions on leadership principles within an interactive game [1]. Our solution is built with a combination of quiz-style questions and scenarios that are tied to player progression for the combat system [2]. We also integrated a cloud-based backend via Firebase to allow users to access their information from anywhere for greater accessibility.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"51 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":"127277857","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 Efficient Program to Detect DDoS Attacks using Machine Learning Algorithms 使用机器学习算法检测DDoS攻击的有效程序
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131507
Kaige Bao, Ang Li
{"title":"An Efficient Program to Detect DDoS Attacks using Machine Learning Algorithms","authors":"Kaige Bao, Ang Li","doi":"10.5121/csit.2023.131507","DOIUrl":"https://doi.org/10.5121/csit.2023.131507","url":null,"abstract":"This paper investigates the efficacy of machine learning algorithms for the detection of Distributed Denial of Service (DDoS) attacks [4][5]. The study explores different approaches, including Support Vector Machines (SVM), logistic regression, and decision trees, and evaluates their performance using metrics such as accuracy, precision, recall, and F1-score [6]. The results demonstrate the effectiveness of SVM models with polynomial or radial basis function (RBF) kernels, logistic regression models with a polynomial degree of 4, and decision tree models with depths exceeding 10 [7][8]. These algorithm configurations exhibit promising potential in mitigating DDoS attacks and safeguarding network infrastructures [9]. However, limitations such as dataset availability, imbalanced data, and the focus on offline detection warrant further research. Enhancements in these areas can lead to more robust and efficient DDoS detection systems. The findings of this study contribute to the advancement of network security and offer insights for organizations aiming to counter the growing threat of DDoS attacks.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"9 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":"124976972","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 User-Friendly Mobile Application to Accelerate the Attainment of the First Class Rank in the Boy Scouts of America using the Unity Engine 一个用户友好的移动应用程序，以加速实现在美国童子军第一等级使用统一引擎
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131512
Yuanxin Jia, John Morris
{"title":"A User-Friendly Mobile Application to Accelerate the Attainment of the First Class Rank in the Boy Scouts of America using the Unity Engine","authors":"Yuanxin Jia, John Morris","doi":"10.5121/csit.2023.131512","DOIUrl":"https://doi.org/10.5121/csit.2023.131512","url":null,"abstract":"The process of Scouts within the Boy Scouts of America ranking up to First Class, and eventually Eagle, can be quite gruesome and challenging [1]. Though there are various resources online ranging from articles and videos that explain how to potentially speed up the ranking process, none of them actually give an effective solution to the problem. Scouts nowadays lack things like attention span because of the harmful side of social media, especially TikTok [2]. They don’t want tips and tricks on how to rank faster, and they also don’t want to flip through massive textbooks to find the answers to requirements. They just want straightforward and quick answers to their problems without any stalling. This is exactly what the Trail to First Class app is. It gives them quick answers to their problems without any ties. Though, the app is not perfect. There is a severe limitation that if some requirements require scouts to, for example, identify things around their geological area, the app cannot help them because providing the answers to every single possible geological area would be quite inefficient. Though something like this might be possible in the future, it definitely cannot come now. Despite the limitations, the app is more than enough to provide scouts with all the resources they need in order to accelerate their ranking process.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"75 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":"126200838","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 Educational Interactive Simulation to Teach Lifeguards-in-Training First Aid and Emergency Preparedness using Animation Rigging and 3D Modeling 一个教育互动模拟，教救生员在训练中的急救和应急准备使用动画索具和3D建模
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131513
Ethan Chen
{"title":"An Educational Interactive Simulation to Teach Lifeguards-in-Training First Aid and Emergency Preparedness using Animation Rigging and 3D Modeling","authors":"Ethan Chen","doi":"10.5121/csit.2023.131513","DOIUrl":"https://doi.org/10.5121/csit.2023.131513","url":null,"abstract":"Many people today lack basic first aid knowledge and emergency preparedness. Official first aid training requires too large of a time commitment and lacks concision, causing many learners and lifeguards-in-training to be deincentivized. In order to combat this problem, we created a first aid simulative video game in which the player acts as a lifeguard and needs to carry out various procedures such as CPR and water rescue. We used Unity Game Engine, Visual Studio 20, C# programming, mixamo.com, and the Unity Asset Store to construct our game. A key challenge we underwent was animating the various models due to the complex nature of creating animations. Instead of making the animations ourselves, we used mixamo.com to download already-published animations to import into our own game. In order to enhance the user experience, we experimented with the camera speed and hitboxes in order to get all the details right. Ultimately, Lifeguard Simulator provides a concise, captivating, and enjoyable first aid learning experience that is not available elsewhere.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"30 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":"126457518","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 Effective Sensor Network System for Early Wildfire Detection: Empowering Communities using Advanced Technologies 有效的野火早期探测传感器网络系统:利用先进技术授权社区
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131509
W. Liang, Jonathan Sahagun
{"title":"An Effective Sensor Network System for Early Wildfire Detection: Empowering Communities using Advanced Technologies","authors":"W. Liang, Jonathan Sahagun","doi":"10.5121/csit.2023.131509","DOIUrl":"https://doi.org/10.5121/csit.2023.131509","url":null,"abstract":"This project focuses on the development of an affordable and accessible solution for early wildfire detection in order to help empower individuals and communities with the ability to proactively detect fire sources[1]. By leveraging a network of sensors spread across a wide area, wildfires are able to be easily discovered by the network and relevant stakeholders are alerted to the threat[2]. Advanced algorithms analyze environmental factors such as temperature, humidity, and wind speed to enhance the accuracy and timeliness of wildfire detection [3]. By addressing the limitations of existing methodologies, this project contributes to improving wildfire prevention and mitigation efforts [4]. Through cost-effective technology and widespread implementation, it aims to create safer and more resilient communities in the face of the increasing threat of wildfires [5].","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"124 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":"127609740","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
Exploring End-Users’ Engagement with Security Threats: A Survey-Based Investigation from Academic and Security Experts’ Perspective 探索终端用户对安全威胁的参与:从学术和安全专家的角度进行的基于调查的调查
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131501
Mousa Jari, Kovila P. L. Coopamootoo, R. Ibrahim
{"title":"Exploring End-Users’ Engagement with Security Threats: A Survey-Based Investigation from Academic and Security Experts’ Perspective","authors":"Mousa Jari, Kovila P. L. Coopamootoo, R. Ibrahim","doi":"10.5121/csit.2023.131501","DOIUrl":"https://doi.org/10.5121/csit.2023.131501","url":null,"abstract":"Amid growing concerns about security and privacy, and their impact on decision-making, researchers have sought to understand the reasons behind users’ seemingly risky behaviour in disregarding security advice. In this study, we delve into the perceptions of security experts on end users’ threat models and their cybersecurity practices and habits. This research explores the perceptions of security and privacy experts regarding end users’ threat models and their behaviours in relation to cybersecurity. A survey was conducted with 55 experts, including 27 females and 28 males, to gain insights into end users’ habits, practices, and feelings from the perspective of security experts. The study reveals that end-users express moderate concern about privacy and security while carrying out their daily tasks. However, security experts believe that end-users tend to be passive towards organisational security policies, and their lack of knowledge about these policies which may lead to negative feelings. Additionally, experts perceive that end-users may be unaware of security measures, have difficulties understanding security concepts, and are at high risk of falling victim to phishing attacks by opening attachments and clicking on unknown links.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"54 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":"126652383","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 New Measurement Called RoA for Estimating the Audience Rate of a Family of Web Radio Stations 一种估算网络广播电台收视率的新方法——RoA
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131508
Tahirou Djara
{"title":"A New Measurement Called RoA for Estimating the Audience Rate of a Family of Web Radio Stations","authors":"Tahirou Djara","doi":"10.5121/csit.2023.131508","DOIUrl":"https://doi.org/10.5121/csit.2023.131508","url":null,"abstract":"In this paper, we have developed a new measure called (Radio Online Audience) of the audience rate of a web radio station. The is a method that uses real-time audience tracking and measurement technologies to provide a more accurate estimate of the audience rate of web radios. It is a composite formula that incorporates the radio broadcast frequency, the number of radio listeners and the average listening time of all radio listeners. In order to implement the new measure, an experiment is being conducted on a family of twelve radios from the “AfricaWebRadio” ecosystem. We have also extended the experiment on the results of the ranking of radio stations (March 2023) carried out by the ACPM (Alliance for Press and Media Figures). The experimental results are promising.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"46 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":"122478585","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 Application of Bluetooth-Enabled Accelerometer-Based Movement Detection for Musical Interactions with Mobile Devices 基于蓝牙加速计的运动检测在移动设备音乐交互中的应用
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131503
Junyu Qian, Jonathan Sahagun
{"title":"An Application of Bluetooth-Enabled Accelerometer-Based Movement Detection for Musical Interactions with Mobile Devices","authors":"Junyu Qian, Jonathan Sahagun","doi":"10.5121/csit.2023.131503","DOIUrl":"https://doi.org/10.5121/csit.2023.131503","url":null,"abstract":"I made a device that will make the phone that is connected to the device through Bluetooth play a note when the device detects a movement. When the device was being shaken by someone, the accelerometer will detect an acceleration and it will make the phone that is connected with the device with Bluetooth play notes in the app. This paper discusses the development and application of a Bluetooth-enabled accelerometerbased movement detection system for musical interactions with mobile devices [1][2]. The system consists of a device attached to an object and connected to a mobile device via Bluetooth [3]. When the object is moved, the accelerometer detects the movement and triggers the mobile device to play a musical note through a dedicated app. The system was tested using different objects and movements, and the results showed that it was accurate and consistent. The paper highlights the potential uses of the system in music performance, education, and therapy, such as creating a new type of instrument, teaching musical concepts in an interactive way, and helping individuals with physical disabilities to engage in music making. Overall, the paper demonstrates the potential of Bluetooth-enabled accelerometer-based movement detection for musical interactions with mobile devices.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"95 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":"122523604","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 Intelligent Device to Analyze and Detect Driver Alertness using Media Pipe and Raspberry Pi 一种基于Media Pipe和树莓派的智能驱动程序警觉性分析和检测设备
Advances in Computing & Information Technologies Pub Date : 2023-08-26 DOI: 10.5121/csit.2023.131502
Richard Feng, Jonathan Sahagun
{"title":"An Intelligent Device to Analyze and Detect Driver Alertness using Media Pipe and Raspberry Pi","authors":"Richard Feng, Jonathan Sahagun","doi":"10.5121/csit.2023.131502","DOIUrl":"https://doi.org/10.5121/csit.2023.131502","url":null,"abstract":"Distracted driving is an important problem that plagues the world, and is the cause of thousands of deaths in the United States. Distracted driving has cost an estimate of $44.2 billion to the US in damages. A way I can help solve this problem is creating a device that can detect if the driver is distracted. This device contains an Arducam Day n Night 1080p camera, a Raspberry Pi 3, and a buzzer. The device utilizes python and Mediapipe, a library which can locate important landmarks on the driver’s face [1]. During development, I had to face many challenges such as the driver possibly looking down subtlety with their eyes, or the camera being positioned in a weird way. During experimentation, I tested the delay, and accuracy of the device. After 35 trials, the device is accurate around 94%, and the delay is around 9 seconds. Overall, this device can be used by everyone who wants to be kept responsible and alert while driving.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"18 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":"124822080","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
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