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11th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2024

作者： Alfat, Lathifah Uddin, Nur Nasucha, Mohammad Mohamad, Masurah Masrom, Suraya Universitas Pembangunan Jaya Department of Informatics South Tangerang Indonesia Universiti Teknologi Mara College of Computing Informatics and Mathematics Perak Malaysia

ISBN: (纸本)9798350389289

The coronavirus had developed into a global concern by the end of 2019. This virus spread rapidly to all countries after founded in China. WHO has determined it as a pandemic called COVID-19. The first COVID-19 case in Indonesia occurred on March 2, 2020. Following this, the number of COVID-19 cases in Indonesia rose daily. The Indonesian government had resolved this health disaster in many ways. One of them is distributing COVID-19 vaccines. However, some vaccine brands are available in Indonesia to support the end of the pandemic. Sinovac, AstraZeneca, Moderna, Pfizer, and Sinopharm are among them. This study intends to evaluate Indonesian sentiment based on the arrival of news about each vaccination brand. Preprocess data uses NLTK to perform tasks such as folding, tokenizing, calculating the frequency distribution, filtering stop words, normalization, and stemming. Textblob calculates and classifies tweet data as positive, negative, or neutral. Then, evaluate Naive Bayes, Decision Tree, and KNearest Neighbors to look for the best model. Based on the findings, Indonesians have a neutral to positive opinion with the best response to the Moderna brand. The best machine learning model is the Decision Tree algorithm in data training and testing, with ratio of 90:10. © 2024 IEEE.

关键词： COVID-19

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Near-Live Simulations to the Rescue: Lessons Learned from Using Alternative Simulation Approaches for Evaluating New Technologies

Near-Live Simulations to the Rescue: Lessons Learned from Us...

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Extended Abstracts of the 2023 CHI Conference on Human Factors in computing Systems, CHI EA 2023

作者： Mastrianni, Angela Sarcevic, Aleksandra College of Computing and Informatics Drexel University PhiladelphiaPA United States

ISBN: (纸本)9781450394222

The near-live simulation method has advantages over other methods when testing technologies for supporting team-based work because testing can be conducted without requiring an entire team to assemble. In this case study, we describe our experiences in conducting 14 remote near-live simulation sessions to evaluate a digital checklist application used in pediatric trauma resuscitation. The remote near-live simulation sessions were complex to design and conduct because participants did not have direct access to a device that could run the checklist application and the digital checklist needed to integrate with the vital sign monitor used during resuscitations. We describe how we designed the environment for running the near-live simulations and discuss the lessons learned from conducting these simulations. We highlight three factors that need to be considered when using the near-live simulation approach: (1) filming or selecting the video of the simulated event, (2) providing participants with access to the system that is being evaluated, and (3) integrating the system being tested with other systems in the simulation scenario. © 2023 Owner/Author.

关键词： Pediatrics

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Design and Development of Culture-Based Learning Management System for City college of Calamba: A Qualitative Approach 24

Design and Development of Culture-Based Learning Management ...

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8th International Conference on Education and Multimedia Technology, ICEMT 2024

作者： Almonte, Regina G. Montiano, Alvin M. Salili, Paul Brian C. Garcia, Leonard M. Hipolito, Ramil R. Department of Computing and Informatics City College of Calamba Philippines Management Information Systems Department City College of Calamba Philippines

ISBN: (纸本)9798400717611

This paper explores the design and development of e-Guro 1.0, a culture-based learning management system (CLMS) for the City college of Calamba. Using a qualitative approach, research begins with the exploratory analysis that leverages observations and interviews to understand the current state of teaching and learning in CCC as well as its requirements based on the perspective of the management and instructors. The waterfall methodology with focus group discussion. to provide a methodical and sequential foundation for e-Guro development. Integrating the cultural elements into e-Guro 1.0, was refined through the iterative feedback loops that involve 23 instructors from diverse departments of the institution through the use of Focus Group Discussion. Their comments and suggestions provide an improvement to the e-Guro 1.0's overall efficacy, usefulness, and sensitivity to cultural differences. Findings revealed that e-GURO 1.0 developed were recommended for utilization for instructions. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

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Fake News Prediction Using Hybrid Model-Systematic Literature Review 4

Fake News Prediction Using Hybrid Model-Systematic Literatur...

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4th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2023

作者： Elias, Muhammad Ismail Mahmud, Yuzi Mutalib, Sofianita Kamaliah Kamarudin, Siti Nur Maskat, Ruhaila Rahman, Shuzlina Abdul School of Computing Sciences College of Computing Informatics and Mathematics Universiti Teknologi Mara Shah Alam Malaysia

ISBN: (纸本)9798350318432

The proliferation of fake news is recognized as a deliberate strategy to manipulate and misinform audiences, thereby undermining the consumption of authentic information. The repercussions of this phenomenon span from mere annoyance to the significant potential for distorting societal and even national perspectives. The contemporary technological landscape has expedited the dissemination of information, underscoring the urgency of discerning evolving techniques in fake news detection. In the context of prevalent social media platforms, a sole reliance on content-based methodologies proves inadequate. This study employs a systematic literature review following the PRISMA protocol to illuminate the contemporary landscape of fake news detection methodologies. The investigation reveals a spectrum of strategies categorized under the rubric of hybrid models, wherein multiple features or models are amalgamated. The discerned hybrid models exhibit a diversity of methodologies, coalescing into two overarching paradigms: the fusion of diverse features and the integration of multiple models. The former primarily encompasses composite feature-based ensembles, often amalgamating content-based features with complementary attributes. The latter paradigm predominantly entails the synthesis of various deep learning approaches, culminating in enhanced performance metrics for fake news detection. The synthesized findings not only provide a comprehensive overview of the prevalent hybrid approaches but also establish a benchmark for forthcoming researchers embarking on predictive endeavors involving hybrid methodologies. © 2023 IEEE.

关键词： Deep learning

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Smart Endotracheal Intubation: Real-Time Visual Feedback and Edge Detection for Enhanced Procedure Guidance 6

Smart Endotracheal Intubation: Real-Time Visual Feedback and...

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6th International Conference on Signal Processing and Information Security, ICSPIS 2023

作者： Alshoweky, Mohammad Amira, Abbes Kurugollu, Fatih University of Sharjah College of Computing and Informatics Sharjah United Arab Emirates

ISBN: (纸本)9798350329599

Endotracheal intubation (ETI) is a medical procedure that has gained researchers' interest in smart healthcare. Using endoscopy powered with Artificial Intelligence (AI) technology to detect anatomical features, making ETI smart is possible. However, the unavailability of public datasets and the insufficiency of predictive AI models for medical applications make this a challenging problem. This paper proposes a proof of concept powered by an ODROID XU4 microprocessor to provide visual feedback to the physician during the intubation procedure. The visual feedback is processed in real time using an edge detection technique, which assists the physician in visualizing the patient's vocal cords. The platform is capable of hosting deep learning models that utilize visual feedback and the detected edges to highlight anatomical features, and it is tested on a realistic manikin of a human airway. © 2023 IEEE.

关键词： Endoscopy

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A Study of Sentiment Analysis in Customer Food Preferences Through Machine Learning 5

A Study of Sentiment Analysis in Customer Food Preferences T...

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5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024

作者： Nasir, Noryanti Zahari, Siti Meriam Januri, Siti Sarah Aidil, Nur Iffa Batrisyia Mohd Pauzi, Nur Izzatun Nawa Mohd Zubir, Anis Zahirah School of Mathematical Sciences College of Computing Informatics and Mathematics Universiti Teknologi Mara Selangor Shah Alam Malaysia Mathematical Sciences Studies College of Computing Informatics and Mathematics Universiti Teknologi Mara N. Sembilan Seremban Malaysia

ISBN: (纸本)9798331528553

Understanding customer food preferences is vital for restaurants to offer valuable services. Recognizing these preferences and the underlying sentiments helps in understanding how customers make dining decisions, where reviews on food type, pricing, portion size, and taste play a crucial role. This study focuses on local, Western, and Asian cuisines, emphasizing the importance for restaurant owners to stay informed about consumer demands and how sentiments influence food choices. It aims to identify sentiments and keywords associated with preferred food types from customer tweets and to determine whether positive sentiments have a greater impact than negative ones in the decision-making process. The research uses a machine learning approach, incorporating bag-of-grams models, sentiment analysis, and hypothesis testing for proportions, with data collected from Twitter between April and May 2023. Results show that the Naive Bayes model had the highest accuracy (72.50%) compared to k-NN (67.8%) and Decision Tree (61.85%). Sentiment analysis also indicates that positive sentiments have a stronger influence on customer decisions than negative ones. © 2024 IEEE.

关键词： Sales

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A Provisional Study of Data Mining Classification Algorithms in Predicting Credit Card Defaulters Using Weka Tools 8

A Provisional Study of Data Mining Classification Algorithms...

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8th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2023

作者： Sakina Rosdi, Nur Fadhlin Shafiqah Ibrahim, Nur Shamsudin, Intan Hajariah Mutalib, Sofianita Abdul-Rahman, Shuzlina School of Computing Sciences College of Computing Informatics and Mathematics Universiti Teknologi MARA Shah Alam Malaysia

ISBN: (纸本)9798350315516

Data mining is a field of study that seeks to draw out significant patterns from large amounts of data. This study explores the classification algorithms for spotting new trends in massive volumes of credit card data. This work covers the performance analysis of various data mining techniques, namely, Naive Bayes, J48, and Support Vector Machine (SVM), in predicting credit card defaulters the dataset is gathered from Kaggle, with 25 attributes and 30,000 instances used to assess the performance of algorithms. Additionally, each classification algorithm's effect on feature selection is mentioned. A variety of data mining classification approaches is used to compare the models in this study the experiment finds J48 and SVM as the best algorithms at 81.56% and 80.92%, respectively. © 2023 IEEE.

关键词： Support vector machines

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Investigating the Synonyms of Conversational Agents to Aid Cross-Disciplinary CA Research

Investigating the Synonyms of Conversational Agents to Aid C...

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Extended Abstracts of the 2023 CHI Conference on Human Factors in computing Systems, CHI EA 2023

作者： Wang, Lu Chen, Chaomei Huh-Yoo, Jina College of Computing & Informatics Drexel University PhiladelphiaPA United States

ISBN: (纸本)9781450394222

With the advent of artificial intelligence, the CHI community has regained a large interest in Conversational Agents (CAs). Designing CAs involves cross-disciplinary efforts, such as that of computer science (e.g., language models), psychology (e.g., cognition and emotions), linguistics (e.g., conversation design), or communication (e.g., trust, communication theory). However, CAs are named differently depending on the discipline and purpose (e.g., chatbot, embodied avatar, virtual butler). This divergence of vocabulary on CA brings challenges to researchers and designers in researching the full landscape of CA literature and sharing cross-disciplinary knowledge. We performed bibliometric and qualitative analyses to systematically assess divergent terms used for CA nomenclatures. We present 54 CA-terms and how these terms are used differently depending on the discipline and design characteristics (e.g., voice vs. non-verbal vs. text-based). Our work contributes to helping CA researchers effectively review the CA literature and build on each other's work for novel cross-disciplinary CA research. © 2023 Owner/Author.

关键词： Information theory

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Exploiting Redundancy in English Language for Hiding Secret Data in Innocent News Articles

Exploiting Redundancy in English Language for Hiding Secret ...

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2023 Advances in Science and Engineering Technology International Conferences, ASET 2023

作者： Sarfaraz, Ayesha Alshouraa, Karam Alaraj, Mustafa Altaweel, Ala Kamel, Ibrahim College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781665454742

With the emergence of several steganography techniques, linguistic steganography is one of the most promising. This paper aims to apply specific techniques in linguistic steganography and quantify their potential to hide secret messages. The techniques that were tested rely on the redundancy in English language. The medium through which the tests were conducted was newspaper articles across various categories, namely, Technology, Sports, Business, Politics, and Entertainment. Since linguistic steganography relies on redundancies in the fabric of the language, we calculated the occurrences of the words, phrases, or grammatical structures through which the secret messages can be passed as dictated by the rules. These rules are manipulations of different linguistic structures of English language. Specifically, Coordinary Conjunction, Abbreviations, Subordinating Conjunctions, Phrasal Verbs, as well as Pronouns and their Identifiers. The newspaper articles were further classified into several categories, to compare which category is the most suitable to carry bits, according to a specific linguistic rule. © 2023 IEEE.

关键词： Redundancy

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A Load-Fairness Prioritization-Based Matching Technique for Cloud Task Scheduling and Resource Allocation

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Computer Systems Science & Engineering 2023年第6期45卷 2461-2481页

作者： Abdulaziz Alhubaishy Abdulmajeed Aljuhani College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina41411Saudi Arabia

In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and *** the other hand,Cloud Service Providers(CSPs)seek to maximize their profits by attracting and serving more consumers based on their resource *** literature has discussed the problem by considering either consumers’needs or CSPs’capabilities.A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task scheduling in a more efficient *** paper proposes a model that adopts a Multi-Criteria Decision Making(MCDM)method,called Analytic Hierarchy Process(AHP),to acquire the information of consumers’preferences and service providers’capabilities to prioritize both tasks and *** model also provides a matching technique to assign each task to the best resource of a CSP while preserves the fairness of scheduling more tasks for resources with higher *** experimental results prove the feasibility of the proposed model for prioritizing hundreds of tasks/services and CSPs based on a defined set of criteria,and matching each set of tasks/services to the best CSPS.

关键词： Task scheduling decision making cloud service selection matching techniques

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