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A Sentiment Analysis Study of Twitter Users' Reactions to the COVID-19 Vaccine 14

A Sentiment Analysis Study of Twitter Users' Reactions to th...

引用

14th International Conference on information and Communication systems, ICICS 2023

作者： Alkhushayni, Suboh Alomari, Zakaria Al-Zaleq, Du'a Yarmouk University Faculty of Information Technology and Computer Science Dept. Information Systems Irbid Jordan New York Institute of Technology Dept. Computer Science VancouverBC Canada Al-Ahliyya Amman University Dept. Robotics and Artificial Intelligence Engineering Amman Jordan

ISBN: (纸本)9798350307870

This study investigates public attitudes towards the COVID-19 vaccine through Twitter data analysis. Using the Twitter API, tweets were collected, preprocessed, and labeled. Features were extracted using the Bag of Words representation, and sentiment analysis was conducted using Text Blob and Vader. Machine learning and deep learning models were trained and tested, revealing that deep learning models achieved the highest accuracy and F1 score. The research underscores the efficacy of machine learning and deep learning in analyzing COVID-19 vaccine-related tweets, shedding light on factors influencing vaccine resistance. These insights are crucial for pharmaceutical companies and public health officials, enabling them to address barriers to vaccine acceptance and enhance the societal benefits of widespread vaccination, contributing to the pandemic's resolution. © 2023 IEEE.

关键词： COVID-19

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Forming Software Development Team: Machine-Learning Approach

Forming Software Development Team: Machine-Learning Approach

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2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent systems, ICETSIS 2022

作者： Tanbour, Zeina Khudarieh, Doha Abuodeh, Hadeel Hawash, Amjad An-Najah National University Computer and Information Systems Dept. Nablus Palestine

ISBN: (数字)9781665469197

ISBN: (纸本)9781665469197

Software development team formation is a task done by skilled persons who have enough experience in mapping crew members to project tasks. Choosing software development team members according to their experience and within the amount of available budget/time is a vital task. However, the availability of a tool to suggest the best team members to the different tasks in some projects will definitely help project managers in their selections. This work is related to suggesting the most suitable skilled software development professionals to projects tasks based on some machine learning technique (Random Forest Classifier). The project manager just feeds the tool with the required tasks, and the latter suggests a ranked list of the most suitable professionals that fit each task which reflects positively on the team formation process. The experimental results conducted at the end of the work reflect the improvement of software development team formation gained comparable with the ordinary, self-experience-based one. © 2022 IEEE.

关键词： Decision trees

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Exploring User Experience and Challenges with Mobile Wallet Adoption in Emerging Markets 2

Exploring User Experience and Challenges with Mobile Wallet ...

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2nd International Conference on Technology Innovation and Its Applications, ICTIIA 2024

作者： Priandito Lutfiani, Ninda Yusuf, Natasya Aprila Goh, Thomas Sumarsan Madani, Muchlisina University of Raharja Dept. of Informatics Engineering Tangerang Indonesia University of Raharja Dept. of Digital Business Tangerang Indonesia University of Raharja Dept. of Information Systems Tangerang Indonesia Universitas Methodist Indonesia Dept. of Management Medan Indonesia University of Raharja Dept. of Computer System Tangerang Indonesia

ISBN: (纸本)9798350351613

This study explores user experiences and challenges in mobile wallet adoption in emerging markets using the UTAUT model. These markets face rapid technological growth alongside infrastructural and economic challenges. The research examines how factors like performance expectancy, effort expectancy, social influence, and facilitating conditions influence adoption. Data from 80 mobile wallet users was collected through an online survey and analyzed using SmartPLS 4.1.0.6. The results show that performance and effort expectancy predict behavioral intention, while facilitating conditions affect actual usage. The study highlights the role of infrastructure in supporting adoption and validates the UTAUT model's relevance in less developed regions. These findings provide insights into enhancing financial inclusion in emerging markets. © 2024 IEEE.

关键词： Emerging Markets Mobile Wallet Technology Adoption User Experience UTAUT

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Geospatial Analysis of COVID-19 Lockdown Effects on Air Quality in Jordan and Surrounding Countries 11

Geospatial Analysis of COVID-19 Lockdown Effects on Air Qual...

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11th International Conference on information Technology, ICIT 2023

作者： Al-Tawil, Marwan Al-Zoubi, Moh'D Belal Majdalawi, Yousef Kh. Almarabeh, Tamara Al Dahoud, Ali The University of Jordan Dept. Computer Information Systems Amman Jordan AL Zaytoonah University of Jordan Faculty of Science and IT Jordan

ISBN: (纸本)9798350320060

In spite of the adverse effects of the COVID-19 pandemic on the global economy, it has had a positive impact on the environment. To combat the spread of the virus, many countries, including Jordan, imposed lockdown measures that involved the suspension of economic activities such as manufacturing operations, transportation, and construction (with some exceptions for essential services). Consequently, the levels of certain atmospheric pollutants, such as NO2 and CO, decreased by an average of 54% and 7%, respectively, during the lockdown period in Jordan. By conducting a systematic review of the lockdown measures and applying spatiotemporal analysis, this study established a methodology to analyze the influence of pandemic mitigation measures on regional air quality. The findings revealed a significant improvement in air quality throughout the study area during the lockdown period. © 2023 IEEE.

关键词： COVID-19

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Method of Mobile Object Navigation Based on Recursive Galois Coding 7

Method of Mobile Object Navigation Based on Recursive Galois...

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7th IEEE International Conference on Methods and systems of Navigation and Motion Control, MSNMC 2023

作者： Petryshyn, Lubomyr Petryshyn, Mykhailo AGH University of Krakow Dept. of Enterprise Management Krakow Poland Precarpathian National University Dept. of Computer Science Adh Information Systems Ivano-Frankivsk Ukraine

ISBN: (纸本)9798350395150

Automated control of mobile vehicles involves the precise positioning of a moving object in space as a function of time along a given trajectory in a network or coordinate system. Binary code systems such as Rademacher, Gray, and Haar bases are employed to establish coordinate bindings in parallel codes. However, as the accuracy of positioning increases, this approach necessitates: a significant expansion of the number of digits used to represent data;an increase in the computational power of tracking hardware;an enhancement in the bandwidth of communication channels;a rise in energy consumption by equipment;ensuring the security of information exchange;an escalation in the cost of moving vehicle motion control systems. This means that achieving high-accuracy positioning necessitates the use of more powerful and expensive hardware, as well as ensuring the security of information exchange. Consequently, improving positioning accuracy can result in an increase in the cost of control systems for mobile vehicles. The automated significance of this research lies in reducing the requirements for the aforementioned parameters by implementing more efficient data encoding methods in the mobile control system. Methods: The use of recursive cyclic Galois code systems for the first time made it possible to implement vertical information technology with sequentially (bit)-oriented data streams with Hartley density. The objective of this work is to develop methods, software, and hardware for mobile object control systems based on the recursive encoding of motion routes and their positioning in space. The novelty of the proposed methods lies in the transition from parallel to vertical information technology for encoding and exchanging information. The practical aspect involves the development and implementation of mathematical, software, and technical support for mobile object control systems. Conclusion: The relative efficiency of recursive encoding, as compared to the method of

关键词： Control systems

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Data Security Enhancement in Cloud Computing by Proposing a DKE Encryption Protocol

Data Security Enhancement in Cloud Computing by Proposing a ...

引用

2023 International Conference on Advances in Artificial Intelligence and Applications, AAIA 2023

作者： Ebadinezhad, Sahar Abdulmajed, Halmat Ayub Department of Computer Information Systems Near East University Nicosia Cyprus Near East University Nicosia Cyprus Dept. Engineering and Computer Systems Lebanese French University Erbil Iraq

ISBN: (纸本)9798400708268

This study uses cryptography to tackle the important problem of data security in cloud computing. Two keys are used in the Dual Key Encryption (DKE) method for both encryption and decryption. DKE employs a public key for the first encryption round before cloud upload and a user-only private key for the second round of encryption. Decryption operates oppositely. When tested and simulated with different file sizes on a CloudAnalyst simulator, DKE operates faster and more efficiently than cryptographic methods such as Triple DES (3DES), AES, RSA, and DES. Thanks to developments in information technology, cloud computing has made several services available online. Data security assurance is still very difficult to achieve, nevertheless. In this context, cryptography is essential and has led to the creation of the novel DKE technology. This technology is not only far more efficient than well-known cryptographic techniques such as 3DES, but it also improves data security. © 2023 Copyright held by the owner/author(s).

关键词： Cryptography

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An Investigation of Running Load Comparisons of ARCore on Native Android and Unity for Outdoor Navigation System Using Smartphone 6

An Investigation of Running Load Comparisons of ARCore on Na...

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6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023

作者： Brata, Komang Candra Funabiki, Nobuo Sukaridhoto, Sritrusta Fajrianti, Evianita Dewi Mentari, Mustika Okayama University Dept. of Information and Communication Systems Okayama Japan Universitas Brawijaya Dept. of Informatics Engineering Malang Indonesia Politeknik Elektronika Negeri Surabaya Dept. of Informatic and Computer Surabaya Indonesia State Polytechnic of Malang Dept. of Information Technology Malang Indonesia

ISBN: (纸本)9798350326642

In recent years, the utilization of location-based augmented reality (LAR) has gained popularity across various domains, including tourism, education, gaming, and advertising. The advancements in AR technology have made it easier to develop immersive LAR applications. ARCore, a widely adopted AR development library, enables the creation of location-based AR apps on Android devices. However, the implementation of ARCore in real-Time scenarios that demand significant computational resources, like outdoor pedestrian navigation, can vary depending on the chosen development environment. This research aims to explore and compare the running load performance of ARCore implementation in location-based AR applications developed with Unity and Android Native, which are two prevalent AR development platforms. The study involves building a prototype LAR application using both Unity and native Android, followed by comprehensive running load performance evaluations. The findings reveal that while both Unity and native Android apps can deliver compelling location-based AR experiences, native Android apps demonstrate superior performance and resource efficiency in outdoor scenarios, whereas Unity offers the advantage of multi-platform support and ease of development for complex 3D assets. These insights provide valuable guidance to developers in selecting the most suitable approach for developing location-based AR applications for navigation, aligning with their specific needs and requirements. © 2023 IEEE.

关键词： Augmented reality

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TCN-MLP: A Hybrid Model for Short-Term Electrical Load Forecasting 1

TCN-MLP: A Hybrid Model for Short-Term Electrical Load Forec...

引用

1st International Conference of Intelligent Methods, systems and Applications, IMSA 2023

作者： Farid, Karim S. Ali, A.A. Salem, Sameh A. Mohamed, Amr E. Egyptian Electricity Holding Company Dept. Information Systems & Communications Cairo Egypt Helwan University - Faculty of Engineering Dept. Electrical Power Cairo Egypt Helwan University - Faculty of Engineering Dept. Computer & Systems Engineering Cairo Egypt

ISBN: (纸本)9798350335569

Using artificial intelligence (AI) to anticipate electrical consumption is one of the used applications of this technology. The analysis and training of AI models are done using data related to electricity consumption, including consumption itself, temperatures, working hours, the number of inhabitants, etc. AI models can help to reduce electricity expenses and consumption, which helps in identifying peak use periods and creating more efficient energy plans. Another use of artificial intelligence is to advise users on how to use less energy in a more efficient manner. Based on such insight, this study suggests a hybrid model based on a temporal convolutional network and multilayer perceptron (TCN-MLP), to forecast hourly power consumption. The results show that the recommended model can account for the patterns in the historical data relating to hourly power usage. TCN-MLP hybrid model has proved to be better than competing approaches in the coefficient of determination (R2) and the mean absolute percentage error (MAPE%) metrics. © 2023 IEEE.

关键词： Electric power utilization

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CONV1D-GRU: A Hybrid Model for Short-Term Electrical Load Forecasting

CONV1D-GRU: A Hybrid Model for Short-Term Electrical Load Fo...

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2023 International Telecommunications Conference, ITC-Egypt 2023

ISBN: (纸本)9798350326062

With the development of plans to replace conventional meters with smart meters to enhance the functionality and performance of power system, forecasting power consumption is still a challenge due to nonlinearity patterns, different types of noise in the datasets, and sometimes lack of data. Artificial Intelligence plays an important role in utilizing the data sent from smart meters, particularly in the area of short-term load forecasting, which is required to meet the needs of consumers. Based on such insight, this study suggests a hybrid model based on a one-dimension convolutional neural network and gated recurrent units (CONV1D-GRU), to forecast hourly power consumption. The outcome demonstrates that the suggested model is capable of encompassing the patterns in a historical data pertaining the hourly power use. The suggested model has outperformed the competing strategies in the mean absolute percentage error (MAPE%), and the coefficient of determination (R^2) metrics. © 2023 IEEE.

关键词： Smart meters

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SPARROW: Smart Precision Agriculture Robot for Ridding of Weeds 5

SPARROW: Smart Precision Agriculture Robot for Ridding of We...

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5th IEEE International Conference for Emerging Technology, INCET 2024

作者： Balasingham, Dhanushka Samarathunga, Sadeesha Arachchige, Gayantha Godakanda Bandara, Anuththara Wellalage, Sasini Pandithage, Dinithi Hansika, Mahaadikara M.D.J.T. de Silva, Rajitha Dept. of Computer Systems Engineering Sri Lanka Institute of Information Technology Sri Lanka Melbourne Australia Lincoln Agri-Robotics University of Lincoln United Kingdom

ISBN: (纸本)9798350361155

The advancements in precision agriculture are vital to support the increasing demand for global food supply. Precision spot spraying is a major step towards reducing chemical usage for pest and weed control in agriculture. A novel spot spraying algorithm that autonomously detects weeds and performs trajectory planning for the sprayer nozzle has been proposed. Furthermore, this research introduces a vision-based autonomous navigation system that operates through the detected crop row, effectively synchronizing with an autonomous spraying algorithm. This proposed system is characterized by its cost effectiveness that enable the autonomous spraying of herbicides onto detected weeds. © 2024 IEEE.

关键词： computer vision

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