Signal Image Processing and Multimedia最新文献

An Intelligent Mobile application to Assist in Taking Mathematical Notes using Speech Recognition and Natural Language Processing 使用语音识别和自然语言处理帮助记数学笔记的智能移动应用程序

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130919

Casson Qin, Jack Wagner

{"title":"An Intelligent Mobile application to Assist in Taking Mathematical Notes using Speech Recognition and Natural Language Processing","authors":"Casson Qin, Jack Wagner","doi":"10.5121/csit.2023.130919","DOIUrl":"https://doi.org/10.5121/csit.2023.130919","url":null,"abstract":"This study evaluated the accuracy and reliability of Voice Note Taking, a technology designed to transcribe spoken language and support note-taking. The experiment analyzed the transcription accuracy and word definition selection feature of Voice Note Taking using a series of audio files featuring individuals speaking in English in different settings. The results showed that Voice Note Taking is reliable and accurate, with an overall transcription accuracy rate of 87.81%. However, the study identified room for improvement, particularly in improving accuracy in noisy environments and developing more sophisticated algorithms for word definition selection. Future research could explore the integration of advanced natural language processing techniques to improve the accuracy of word definition selection, including leveraging machine learning algorithms to recognize the specific context and meaning of words. Several previous studies have shown the potential of mobile note-taking apps to enhance student achievement, satisfaction, and accessibility, suggesting further research in this area. Overall, this study highlights the strengths and limitations of Voice Note Taking and provides insight into potential areas for future development.","PeriodicalId":176190,"journal":{"name":"Signal Image Processing and Multimedia","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703164","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

Beyond the Coach: Exploring the Efficacy of a Machine Learning Application for Improving Tennis Players' Performance 超越教练:探索机器学习应用程序提高网球运动员表现的功效

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130907

Jiawen Hao, Huijun Hu

引用次数: 0

Digital Era: Navigating VMI and Supply Chain for Sustainable Success 数字时代:引导VMI和供应链实现可持续成功

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130904

Odunayo J. Akindote

引用次数: 0

The Applicability of Arduino Microcontroller with a LoRa Shield as an Element in IoT 带LoRa屏蔽的Arduino微控制器在物联网中的应用

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130903

P. Podržaj, Tomaz Pozrl, M. Jenko, L. Selak, Gašper Škulj, L. Rihar, Rok Vrabič, D. Bračun, T. Berlec, Dominik Kozjek

引用次数: 0

Identifying Depressive Tweets using Natural Language Processing (NLP) Frameworks 使用自然语言处理(NLP)框架识别抑郁推文

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130920

Damilola Oladimeji, Laura Garland, Qing-zhong Liu

{"title":"Identifying Depressive Tweets using Natural Language Processing (NLP) Frameworks","authors":"Damilola Oladimeji, Laura Garland, Qing-zhong Liu","doi":"10.5121/csit.2023.130920","DOIUrl":"https://doi.org/10.5121/csit.2023.130920","url":null,"abstract":"The number of patients diagnosed with depression yearly is a growing concern among mental health advocates. Consequently, the ef ect of this ailment is detrimental to not only the patient but also family members, as well as their jobs or school. Many factors, ranging from hereditary conditions to life-altering experiences, can trigger depression, and symptoms vary between individuals. Hence, the disparity of symptoms in diagnosing depression makes it dif icult to identify early on. Fortunately, the prevalence of social media platforms has led to individuals posting updates on various aspects of their lives, particularly their mental health. These platforms now provide valuable data sources for mental health researchers, aiding in the timely diagnosis of depression. In this research, we use sentiment analysis to identify depressed tweets from random tweets. We used six natural language processing frameworks for our classification. They are BERT, XLNet, ALBERT, DeBERTa, RoBERTa, and ELECTRA. Our results show that BERT performs best with an accuracy of 99%, while ALBERT is the model with the lowest accuracy rate at 87%. This research shows that by leveraging NLP frameworks, we can successfully utilize machine learning for the early detection of depression and help diagnose individuals struggling with this ailment.","PeriodicalId":176190,"journal":{"name":"Signal Image Processing and Multimedia","volume":"7 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122775911","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

Deuterium: A Secure Protocol for Group Messaging with Rotating Keys and Identity Verification 氘:一种具有旋转密钥和身份验证的安全组消息传递协议

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130908

Xiyou Jin, Jonathan Sahagun

引用次数: 0

Development and Evaluation of an AI-Enabled Nutrient Intake Monitoring App for Obesity and Diabetes Prevention in Young People: A Comparative Study with Live Scanning and Photo-Uploading Methods 基于ai的青少年预防肥胖和糖尿病营养摄入监测App的开发与评价:与实时扫描和照片上传方法的比较研究

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130918

Jiheng Yuan, Victor Phan

{"title":"Development and Evaluation of an AI-Enabled Nutrient Intake Monitoring App for Obesity and Diabetes Prevention in Young People: A Comparative Study with Live Scanning and Photo-Uploading Methods","authors":"Jiheng Yuan, Victor Phan","doi":"10.5121/csit.2023.130918","DOIUrl":"https://doi.org/10.5121/csit.2023.130918","url":null,"abstract":"Obesity and diabetes are prevalent health issues worldwide, especially among young people. To address this, an app was proposed to help users monitor their daily nutrient intake and prevent obesity and diabetes [1]. The app uses AI scanning to analyze the nutrient level of food and suggests a suitable daily nutrient intake for the user based on their age and gender. Data storage allows users to track their meal history and create a personalized diet plan [2]. The app was compared to similar systems, and it was found that live scanning is more intuitive and convenient than photo uploading. Additionally, the proposed app was tested in two experiments and was found to be effective in identifying food items and received generally positive feedback from users, but further improvements are necessary to enhance accuracy and user experience. In the first experiment, the accuracy of the AI model for predicting food items was tested using a combination of existing and customized datasets [3]. A total of 227 food items were tested, including bananas, watermelons, peaches, tomatoes, pineapples, rice, fries, hamburgers, eggs, noodles, and other items. The results showed an overall accuracy rate of 82% for all food items tested, with pineapple having the highest accuracy at 100% and peaches having the lowest accuracy at 60%. In the second experiment, 15 participants tested the application's features and provided feedback through a survey. The results showed that the application was successful in its implementation of features and received generally positive feedback, with an average functionality rating of 8.13 and an average convenience rating of 7.67.","PeriodicalId":176190,"journal":{"name":"Signal Image Processing and Multimedia","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123799128","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

Development of an AI-Robotics 3D Printed Circle of Command for Enhancing Accessibility and Mobility in Individuals with Mobility Issues 人工智能机器人3D打印指挥圈的开发，以提高行动不便的个人的可及性和流动性

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130910

Chia Sheng Shih, Jonathan Sahagun

{"title":"Development of an AI-Robotics 3D Printed Circle of Command for Enhancing Accessibility and Mobility in Individuals with Mobility Issues","authors":"Chia Sheng Shih, Jonathan Sahagun","doi":"10.5121/csit.2023.130910","DOIUrl":"https://doi.org/10.5121/csit.2023.130910","url":null,"abstract":"According to the CDC, 13.7% of adults in the United States have mobility issues, which is about 42 million peoplewho have that issue. The purpose of this paper is to utilize artificial intelligence and robotics packaged in a3Dprinted Circle of Command to help make the lives of those 42 million people easier [5]. A raspberry pi is usedtopower and process the voice control commands and turn the voice commands into actions that respond tothecommands [6]. The voice control is achieved through three microphones that are embedded from the inside of theCircle of Command using holes to listen to any potential voice commands, and as the raspberry pi can't input analog output which is outputted from the microphones, the microphones and the raspberry pi are connected toananalog to digital converter that allows the raspberry pi and the microphones to exchange information smoothlyRobotics is used in the stepper motor and the gear that is used to turn the top of the lazy susan, which is 3Dprintedso that there are gears on the inside of the top. There is also a home switch that will home the lazy susan. Thereisno practical application of this AI Robotic Circle of Command as it is just a prototype, and so there are no results, but it is hoped that it will be able to change some of the 42 million lives once the production of the production model begins, the production model will be larger than the prototype as the prototype serves as only a proof of concept andshows that this idea is actually doable [7].","PeriodicalId":176190,"journal":{"name":"Signal Image Processing and Multimedia","volume":"11 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902920","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

Designing and Testing User-Club Systems to Improve Club Organization and Participation in High Schools and Colleges 设计和测试用户俱乐部系统，以提高高中和大学俱乐部的组织和参与

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130913

Hank Cao, Marisabel Chang

{"title":"Designing and Testing User-Club Systems to Improve Club Organization and Participation in High Schools and Colleges","authors":"Hank Cao, Marisabel Chang","doi":"10.5121/csit.2023.130913","DOIUrl":"https://doi.org/10.5121/csit.2023.130913","url":null,"abstract":"Contemporary high schools have seen a significant rise in student-led clubs, whether they are academic, sports, or special-interest related. In them, students are able to collaborate with other like-minded peers and develop their unique hobbies and interests. However, in many of these high schools and especially those of ours, we have observed a lack of motivation and participation associated with poor club organization and communication. Inspired by existing software utilized by these clubs and building upon their features, we have designed and implemented a user-club system intended to help a myriad of clubs in high schools and colleges to manage their club events and membership [4]. Two experiments were conducted to test the effectiveness of two different applications designed to help high school clubs manage their events and membership. For the first experiment, 10 participants tested a user-club system, and for the second experiment, another 10 participants tested an application. Both experiments showed positive results, with participants providing feedback on the applications' functionality and convenience. However, a few participants reported issues, indicating that refinement may be necessary for optimal usability. In the first experiment, most participants reported improvement in their club's participation and member interest, but a few reported little to no improvement, suggesting that the system may not be effective for all types of clubs. Further testing and refinement are necessary for both applications to determine their effectiveness for different types of clubs and user populations.","PeriodicalId":176190,"journal":{"name":"Signal Image Processing and Multimedia","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114434277","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 Procedural Generation Platform to Create Randomized Gaming Maps using 2D Model and Machine Learning 使用2D模型和机器学习创建随机游戏地图的程序生成平台

Signal Image Processing and Multimedia Pub Date : 2023-05-27 DOI: 10.5121/csit.2023.130916

Nathan Lee, John Morris

{"title":"A Procedural Generation Platform to Create Randomized Gaming Maps using 2D Model and Machine Learning","authors":"Nathan Lee, John Morris","doi":"10.5121/csit.2023.130916","DOIUrl":"https://doi.org/10.5121/csit.2023.130916","url":null,"abstract":"As a video game developer, the most difficult problem I ran into was creating a map for the game, as it was difficult to create non repetitive and original gameplay [1]. My project proposes a solution to this problem as I use Answer Set Programming to create a program to procedurally generate maps for a video game [2]. In order to test its reliability, I allowed it to generate around 10,000 maps, stored the data of each of the maps, and used the common trends I find in the data to find problems with the program and fix it in the future. In developing a video game, level creation consumes a major portion of the development total time and level procedural generation techniques can potentially mitigate this problem. This research focused on developing a VVVVVV style level generator using Answer set programming for the game Mem.experiment which was developed at the same time. VVVVVV is a 2D puzzle platformer that uses changes in direction of gravity instead of jumping for the player's vertical movement [3]. During the development of the level generator, 10,000 levels were created. I found out that the average total time it took between generations is 45 seconds, and the average time for ASP to generate a map is 12 seconds [4]. This means that the process of displaying the generation took between 2x - 3x longer than generating the ASP solution.","PeriodicalId":176190,"journal":{"name":"Signal Image Processing and Multimedia","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124325011","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