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2023 9th International Conference on Information Technology Trends (ITT)最新文献

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Movement analysis of Individuals Using ML for different window size on raw accelerometer Time series Data 使用ML对原始加速度计时间序列数据进行不同窗口大小的个体运动分析
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184250
Radhika. N, Ashams Mathew, Sujni Paul
{"title":"Movement analysis of Individuals Using ML for different window size on raw accelerometer Time series Data","authors":"Radhika. N, Ashams Mathew, Sujni Paul","doi":"10.1109/ITT59889.2023.10184250","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184250","url":null,"abstract":"Individual movement analysis is becoming more open and common as sensors incorporated in mobile devices and machine learning algorithms progress. In the proposed framework, different classification techniques of machine learning algorithms such as Logistic Classifier and Support vector machine (SVM) are used to recognize human activities. The Fast Fourier transform (FFT) of tri-axial accelerometers that measure acceleration in all three spatial dimensions of smartphones is considered with different window sizes which correspond to the different number of samples from the sensor to predict the activities of an individual. The Performance analysis of individual classification for different window sizes is evaluated using accuracy, recall, precision, and F1-score. Results show that SVM performed better when compared to other model but there is a significant increase in accuracy as the window size increase for both the ML classification techniques.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128292523","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
Recommender System for Predicting Students' Academic performance in association with Cognitive state and Affective state using Sentiment Analysis and Association Rule Mining on the closed ended questionnaire 基于封闭问卷的情感分析和关联规则挖掘，预测学生学习成绩与认知状态和情感状态关联的推荐系统
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184251
Amala Jayanthi M, Elizabeth Shanthi I, Lakshmana Kumar Ramasamy
{"title":"Recommender System for Predicting Students' Academic performance in association with Cognitive state and Affective state using Sentiment Analysis and Association Rule Mining on the closed ended questionnaire","authors":"Amala Jayanthi M, Elizabeth Shanthi I, Lakshmana Kumar Ramasamy","doi":"10.1109/ITT59889.2023.10184251","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184251","url":null,"abstract":"The recommender systems (RS) are significant in academics, business, and industry. They are frequently employed in various fields, including shopping, music, movies, travel, dining, and writing. Recently, RS can be used in education to suggest student learning styles. This paper proposes a recommender system for predicting student personality with emotions. One of the common recommender system methodologies, collaborative filtering, generates the best suggestions by finding related individuals or things based on their prior transactions. One of the main issues with the collaborative filtering process is the poor accuracy of ideas. This paper uses association rule mining to recommend student personality with emotion based on closed-ended questionnaires. This work initially uses the sentiment analysis technique to identify the student's emotions based on the answer provided for a closed-ended questionnaire. Then, polarity-based sentiment analysis is used to classify student emotions. This paper uses the Association rule mining concept to predict student personality with emotion. This is the first study of a recommender system for the student based on closed-ended questionnaires. The real- world closed-ended questionnaire like Emotional intelligence, Eysenck personality, Self-determination scale, Self-efficacy, Rosenberg's self-esteem, Positive and Negative affect schedule, and Oxford Happiness is used to evaluate the performance of the proposed research work.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133933063","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
ChatGPT and the Chinese Room Argument: An Eloquent AI Conversationalist Lacking True Understanding and Consciousness ChatGPT和中国房间的争论:一个缺乏真正理解和意识的雄辩的人工智能对话者
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184233
Oussama H. Hamid
{"title":"ChatGPT and the Chinese Room Argument: An Eloquent AI Conversationalist Lacking True Understanding and Consciousness","authors":"Oussama H. Hamid","doi":"10.1109/ITT59889.2023.10184233","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184233","url":null,"abstract":"This paper explores the cognitive implications of recent advancements in large language models (LLMs), with a specific focus on ChatGPT. We contribute to the ongoing debate about the cognitive significance of current LLMs by drawing an analogy to the Chinese Room Argument, a thought experiment that questions the genuine understanding of language in machines (computer programs). Our argument posits that current LLMs, including ChatGPT, generate text resembling human-like responses, akin to the process depicted in the Chinese Room Argument. In both cases, the responses are provided without a deep understanding of the language, thus lacking true signs of consciousness.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132071976","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
Revolutionizing Higher Education: Enhancing Student Learning with CrossQuestion’s Gamified Flipped Classroom Approach 革新高等教育:用CrossQuestion的游戏化翻转课堂方法增强学生学习
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184273
U. Durrani, M. Saleh, Rula Azzawi, Osama Hosam, Rasha Abousamra, Samer Aoudi
{"title":"Revolutionizing Higher Education: Enhancing Student Learning with CrossQuestion’s Gamified Flipped Classroom Approach","authors":"U. Durrani, M. Saleh, Rula Azzawi, Osama Hosam, Rasha Abousamra, Samer Aoudi","doi":"10.1109/ITT59889.2023.10184273","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184273","url":null,"abstract":"The fourth industrial revolution and the Covid pandemic have brought significant changes in teaching and learning, necessitating the use of digital technology. Our CrossQuestion application uses gamification and flipped classroom pedagogies to enhance student learning. This study aimed to assess the effectiveness of implementing CrossQuestion in a higher education setting. The research involved a structured literature review, establish research methodology, and to perform data analysis. The results showed that the use of CrossQuestion through gamification and flipped classroom pedagogies is an effective approach to enhancing student learning. Therefore, the study concludes that digital technology can be a useful means to enhance student learning in the current educational landscape.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121599181","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
ITT 2023 Cover Page ITT 2023封面
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/itt59889.2023.10184248
{"title":"ITT 2023 Cover Page","authors":"","doi":"10.1109/itt59889.2023.10184248","DOIUrl":"https://doi.org/10.1109/itt59889.2023.10184248","url":null,"abstract":"","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187591","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 Accurate Brain Tumor Segmentation using Deep Learning 基于深度学习的精确脑肿瘤分割
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184247
A. Safi, Milan Dordevic, Reem Atassi, Fuad Alhosban
{"title":"An Accurate Brain Tumor Segmentation using Deep Learning","authors":"A. Safi, Milan Dordevic, Reem Atassi, Fuad Alhosban","doi":"10.1109/ITT59889.2023.10184247","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184247","url":null,"abstract":"Gliomas, which can appear in different sizes, and locations, and with scattered boundaries, pose a significant challenge as an aggressive type of tumor. Convolutional Neural Networks (CNNs), one of the most effective deep learning approaches for image analysis problems, have been utilized to develop an automatic deep learning-based 2D-CNN model for brain tumor segmentation in this study. The architecture of the model was designed to be deeper by using small convolution filters (3x3). Additionally, the number of convolutional layers was increased to 16 for the HGG model and 13 for the LGG model to facilitate efficient learning of complex features from large datasets and achieve better results. Fine tuning among the dataset and hyperparameters was employed to obtain the results. The pre-processing for this model includes the generation of a brain pipeline, intensity normalization, bias correction, and data augmentation. The proposed method’s performance was evaluated using the BRATS-2015 dataset and the Dice Similarity Coefficient (DSC). Our method achieved DSC scores of 0.79, 0.77, and 0.78 for complete, core, and enhanced tumor regions, respectively. These results are comparable to other 2D CNN architecture-based methods.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130765505","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 the Intersection of AI and Sustainable Computing: Opportunities, Challenges, and a Framework for Responsible Applications 探索人工智能和可持续计算的交叉点:机遇、挑战和负责任应用的框架
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184228
Nafeth Al Hashlamoun, Nedaa Baker Al Barghuthi, Hatem Tamimi
{"title":"Exploring the Intersection of AI and Sustainable Computing: Opportunities, Challenges, and a Framework for Responsible Applications","authors":"Nafeth Al Hashlamoun, Nedaa Baker Al Barghuthi, Hatem Tamimi","doi":"10.1109/ITT59889.2023.10184228","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184228","url":null,"abstract":"As the world becomes increasingly digitized, the use of artificial intelligence (AI) has the potential to revolutionize sustainable computing practices. In this paper, we provide a comprehensive review of the impact of AI on sustainable computing, including its applications, case studies, challenges, and limitations. Our results demonstrate that AI can significantly reduce the environmental impact of computing systems and enable more sustainable practices, such as energy-efficient data centers, smart grids, and precision agriculture. However, the adoption of AI in sustainable computing also poses ethical and social challenges that must be addressed, such as bias, privacy, and job displacement. To address these challenges, we propose a governance framework for ethical and socially responsible AI in sustainable computing. We conclude by highlighting the contributions of this paper, including a comprehensive review of the literature and a framework for ethical and socially responsible AI. We also provide future research directions for the field of AI and sustainable computing, such as designing AI-powered smart cities and exploring the role of AI in the circular economy.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127525354","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 Hybrid Prediction Approach Using Multiple Linear Regression and Decision Trees 基于多元线性回归和决策树的混合预测方法
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184242
Maryam Azeez, M. Akpinar, K. Ayar
{"title":"A Hybrid Prediction Approach Using Multiple Linear Regression and Decision Trees","authors":"Maryam Azeez, M. Akpinar, K. Ayar","doi":"10.1109/ITT59889.2023.10184242","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184242","url":null,"abstract":"Prediction is one of the essential topics in decision-making. We fall into many choices that require predicting and anticipating the answer before starting work. Several techniques could be used to make estimations. In this study, a hybrid method was proposed to make predictions. It is used classification and regression tree (CART) and multiple linear regression (MLR). Predictions were measured using three error terms, MAPE, RMSE, and R2, to choose the best model. It was found in this study that splitting (filtering) the data using CART reduced errors in MLR models. Hybrid model results were compared with standalone methods of MLR and CART, and they gave better results than CART and MLR models. The worst estimations were done with standalone CART models. It was also found that using one error measure is insufficient. Still, more than one error measure must be added to obtain an optimal model.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130026128","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
HVAC Attack Detection Using Novel Machine Learning Model 基于新型机器学习模型的暖通空调攻击检测
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184262
Rashed Alnuman, Syed Izhan Hyder, Kevser Ovaz Akpinar
{"title":"HVAC Attack Detection Using Novel Machine Learning Model","authors":"Rashed Alnuman, Syed Izhan Hyder, Kevser Ovaz Akpinar","doi":"10.1109/ITT59889.2023.10184262","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184262","url":null,"abstract":"HVAC systems are heating, ventilation, and air conditioning units that allow for maintaining indoor air conditions to a desired degree. Other than maintaining occupant comfort, its use in industrial applications and critical infrastructure is vital to maintain operations since many systems and components must operate under controlled environments, such as, to avoid overheating. HVAC systems by design do not incorporate security. Given this, most HVAC systems , especially those connected to the internet are vulnerable to cyber attacks from various angles. Such an example was the Stuxnet virus which sabotaged a nuclear plant in 2010. Due to this and among other events, HVAC security is now under the spotlight, and the need for a solid security model for HVAC security is necessary. In this paper, we present an anomaly-based detection machine learning model to detect malicious sabotage of HVAC systems which achieves an accuracy of 99% and recall of 98.2%.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122495313","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 Formal Language for Actors’ Interactions 演员互动的正式语言
2023 9th International Conference on Information Technology Trends (ITT) Pub Date : 2023-05-24 DOI: 10.1109/ITT59889.2023.10184270
M. Adda
{"title":"A Formal Language for Actors’ Interactions","authors":"M. Adda","doi":"10.1109/ITT59889.2023.10184270","DOIUrl":"https://doi.org/10.1109/ITT59889.2023.10184270","url":null,"abstract":"The gap between the design and implementation of software for IoT security and forensics are often ambiguous and loose. Formal languages in the class of process algebra based on mathematical rules, logic and symbols, as a mean of expressing system specifications, proved to be valuable to systems’ design and verifications. There are several semi-formal and formal languages as such JSON, XML, predicate logic, and regular expressions and formal model of computations such as Turing machines etc. Each dedicated to specific areas. This paper introduces a new formal language, called ATFL (A Transaction Formal Language), developed initially for IoT forensics and authentications. The specifications of two cases, an IoT device login and an SDN wireless controller, are presented and verified, to expose the propensity and the generalization of the proposed formal language.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133723224","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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