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Considerations on the Use of FDA Methods in Statistical Inference with Fuzzy Data 20th

Considerations on the Use of FDA Methods in Statistical Infe...

引用

20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based systems

作者： Grzegorzewski, Przemyslaw Kozak, Anna Warsaw Univ Technol Fac Math & Informat Sci Koszykowa 75 PL-00662 Warsaw Poland Polish Acad Sci Syst Res Inst Newelska 6 PL-01447 Warsaw Poland

ISBN: (纸本)9783031739965;9783031739972

We consider the prospects of Functional Data Analysis (FDA) methods for statistical inference based on fuzzy data. To make the FDA-based reasoning efficient, we introduce another representation of fuzzy numbers than the traditionally used one, namely ICr functions. To show that the suggested approach can be effective, we propose a new test designed in the spirit of FDA methods, which has been shown to have good statistical properties.

关键词： Functional data analysis Fuzzy data Fuzzy numbers Random fuzzy numbers Credibility distribution Goodness-of-fit test

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Bibliometric Analysis of Technostress in Academic Environments: Exploring Trends and Identifying Knowledge Gaps 1

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Oppedisano, R. Tursunbayeva, A. Di Pietro, C. Capurro, R. Staffa, M. C. Univ Naples Parthenope Dept Econ & Business Naples Italy Univ Naples Parthenope Dept Sci & Technol Naples Italy

ISBN: (数字)9789819754410

ISBN: (纸本)9789819754403;9789819754410

Technostress, the strain, and pressure people feel due to the use of information technology, is a phenomenon with serious implications in academic and professional contexts, significantly influencing productivity and overall well-being. This research endeavors to present a comprehensive overview of the current literature surrounding technostress, with a specific focus on its manifestations in the university location. Employing a systematic literature review, the study's aspirations are to identify tendencies, challenges, and occasions related to technostress within the academic setting. The findings of this research represent a significant contribution to our understanding of technostress in the academic realm. By offering valuable insights, the study seeks to inform and guide future interventions and management strategies, ultimately aiming to improve the feature of work and academic life for those navigating the challenges posed by technostress. The systematic examination of existing literature not only sheds light on current trends but also unveils knowledge gaps, for further exploration and study in this critical domain.

关键词： Technostress University Academic setting

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Analysis of Vehicular Data Communication in the case of the Cotopaxi Volcano eruption 9th

Analysis of Vehicular Data Communication in the case of the ...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Gallo, Brayan Romero, Javier Granda, Fausto Carrera, Enrique V. Univ Fuerzas Armadas ESPE Sangolqui Ecuador

ISBN: (纸本)9789819754403;9789819754410

A foreseeable risk in the case of a volcano eruption, as is the case of the Cotopaxi volcano, is a significant increase of vehicular traffic on routes destined to attend to this emergency, constituting a challenge for vehicular communications. Several parameters of vehicle-to-infrastructure and vehicle-to-vehicle communication are analyzed in this work using simulation tools such as georeferenced maps, microscopic traffic, radio propagation, and network simulators for a scenario with considerable vehicular density. Factors such as high vehicular density, placement of road-side units, and special types of intersections as roundabouts have significant effects on vehicular communication. The radio propagation simulation shows accurate results of path gain and Doppler spread. In addition, network simulation under IEEE 802.11p protocol shows a better performance of UDP than TCP in terms of delay time and jitter whereas TCP outperforms UDP in terms of throughput.

关键词： Channel characterization Doppler spectrum VANET V2X communications

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Toward an Islamic Education Administration System: A Critical Contribution from Technology Adoption 9th

Toward an Islamic Education Administration System: A Critica...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Musolin, Mukhamad Hadi Ismail, Mohamad Hazli Huda, Miftachul Qodriah, Sari Laelatul Hassan, Rusmawati Raja Ismail, Azman Siregar, Maragustam Univ Islam Antarabangsa Sultan Abdul Halim Muadza Kuala Ketil 09300 Malaysia Univ Pendidikan Sultan Idris Tanjong Malim Tanjung Malim 35900 Malaysia Univ Muhammadiyah Cirebon Jawa Barat 45153 Indonesia Univ Malaysia Kelantan Fac Language Studies & Human Dev Kota Baharu 16100 Kelantan Malaysia Natl Acad Arts Culture & Heritage Kuala Lumpur 50480 Malaysia Univ Islam Negeri Sunan Kalijaga Yogyakarta 55281 Indonesia

ISBN: (纸本)9789819750344;9789819750351

The current trends of technology advancement offered with such features have given a substantive support to the human development including social life interaction, business, and education sector. It is especially in the government sector that technology development is currently being the trending topic since the gradual shift paradigm comes to adapt such distinctive structures in order to reach to beneficial value. Thus, this paper aims to investigate the technology adaptation followed by its adoption in giving a critical insight into helping to run the administrative management of public school. The literature analysis was made by reviewing the current works related to the technology adaption and its adoption in contributing to the public school administrative management. The finding of this study found that the significant features of advanced technology enhancement provide a sustainable contribution in playing the role on helping to systematize the administration procedure and process in a good flow and proper way in line with the original objective of organization. Thus, this study is supposed to contribute in giving the particular insight on developing the framework on looking at the clear point about the technology adaption and adoption on administrative management.

关键词： Education administration Education system Technology adoption

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Remote Monitoring and Mapping of Health Equipment for the Correct Management of Pandemics in Africa Using the Embedded System: The Case of the COVID-19 Pandemic 9th

Remote Monitoring and Mapping of Health Equipment for the Co...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Biaye, Bala Moussa Aidara, Cherif Ahmed Tidiane Gaye, Khalifa Assane Seck Univ Ziguinchor Lab Comp Sci & Engn Innovat LI3 BP 523 Diabir Ziguinchor Senegal Univ Strasbourg CNRS Lab Sci Engn Comp Sci & Imaging Icube UMR 7357 Natl Inst Appl Sci Strasbourg Strasbourg France

ISBN: (纸本)9789819750344;9789819750351

The embedded systems have a great contribution in the field of health remote monitoring. However, in reality in most cases, health remote monitoring systems are more interested in monitoring patients than in the equipment to be used for care. Without these equipments, care becomes impossible. In addition, these systems acquire data on the same site, store them either locally or send them to a central processing unit. In our work, the installations to be monitored are of different types and are distributed on over many multi-sites. This requires very heterogeneous equipments to remote monitor them. As a result, we are going to find solutions to the question relating to the collection of measurement data and the location of installations distributed over many remote sites. Then, it is a matter of quickly analyzing and processing this data in order to make decisions to intervene the maintenance team in the event of detected failures.

关键词： Remote monitoring Databases Embedded systems Geographic information system

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System for the Efficient Management of Drinking Water Infrastructures Using Artificial Intelligence-Based Optimisation Algorithms 21st

System for the Efficient Management of Drinking Water Infras...

引用

21st International Symposium on Distributed Computing and Artificial Intelligence

作者： Calatayud Asensi, Carlos Berna Martinez, Jose Vicente Arnau Munoz, Lucia Lorenzo Fonseca, Iren Aguas Valencia SA Avda Marques Turia Valencia 46005 Spain Univ Alicante Carretera San Vicente Raspeig Alicante 03690 Spain

ISBN: (纸本)9783031820724;9783031820731

Energy consumption has become the main concern of any company or organisation. However, there are services where energy consumption takes a back seat to meet the requirements. This is the case of drinking water services. In order to ensure the supply to the population, until now, the strategy followed consisted of maximising storage, at any cost. This way of operating infrastructures generates energy inefficiency, as well as undermining sustainability and risking greater water losses in the event of breakdowns. Nowadays, thanks to the historical information available, it is possible to generate algorithms capable of minimising consumption while optimising water storage and ensuring water supply. In this work we propose a system through which, using prediction algorithms and a heuristic search for the optimal solution, the optimal behaviour of a drinking water production system is calculated. The system is divided into two blocks, the prediction and the control generator, so that they are able to evaluate the current state of the system and obtain a behaviour adequate to the needs with the minimum consumption. This proposal has been instantiated on a real drinking water infrastructure of a city of 5000 inhabitants in the southeast of Spain, demonstrating the viability of the proposal and the improvement compared to traditional behaviour.

关键词： planning and scheduling real time system decision-making support system drinking water infrastructures

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Reverberation Time and Distance Impact on the Equal Error Rate 1

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Al-Karawi, Khamis A. Alenizi, Abdulrahman S. Diyala Univ Baqubah Diyala Iraq Publ Author Appl Educ & Training PAAET Kuwait Kuwait

ISBN: (数字)9789819754410

ISBN: (纸本)9789819754403;9789819754410

Recently, speaker recognition has emerged as a pivotal biometric tool for finding security, forensics, and banking applications. Despite its widespread adoption, real-world challenges, such as variations in environmental conditions like reverberation time and background noise, pose significant obstacles to speaker recognition. Among the well-established methods for speaker recognition, MFCC and GFCC are notable for their maturity and widespread use. The study delves into the impact of reverberation conditions, characterized by parameters like reverberation time and direct-to-reverberation ratio, on the performance of speaker verification systems. The investigation includes an analysis of the relationship between these parameters and verification results, measured through the equal error rate percentage. Regression models are introduced to elucidate the correlation between the equal error rate, reverberation time, and the distance from the microphone source. The results emphasize the optimal microphone accuracy when positioned within 0.5 m of the sound source. Furthermore, the study highlights the superior performance of GFCC compared to MFCC in the conducted evaluations.

关键词： MFCC GFCC Speaker recognition Reverberate Robustness Speaker verification

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NextVision, an Intelligent Video Surveillance System Based on Computer Computer Vision and Natural Language Processing 9th

NextVision, an Intelligent Video Surveillance System Based o...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Houndji, Vinasetan Ratheil Guedje, Prince Gedeon Inst Format & Rech Informat IFRI Abomey Calavi Benin

ISBN: (纸本)9789819754403;9789819754410

Ensuring security is essential in today's world, whether it's to protect property or ensure personal safety. However, traditional surveillance systems initially designed to meet these needs have certain shortcomings. Personal security personnel responsible for constantly monitoring screens may miss crucial sequences. Determining when to record camera feeds to minimize storage wastage can be complex. Also, making these recorded sequences usable and actionable represents an additional challenge. Our goal is to enhance video surveillance tasks through artificial intelligence. In this paper, we introduce NextVision, a user-friendly and intelligent video surveillance platform. We combine computer vision and natural language processing to automatically identify objects in real time and provide interaction based on textual queries. Powered by a Django-based backend architecture and a frontend supported by Next JS, synchronized via sockets in real time, NextVision evolves machine learning to improve security for everyone proactively.

关键词： Artificial intelligence Real-time analysis Critical object detection Computer vision Natural language processing

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Intrusion Detection System Using Stacked Ensemble Learning with Light Gradient Boosting Machine and Decision Tree 3rd

Intrusion Detection System Using Stacked Ensemble Learning w...

引用

3rd International Conference on Network Security and Blockchain Technology

作者： Dasari, Anil Kumar Biswas, Saroj Kr Baruah, Barnana Purkayastha, Biswajit Das, Soumen Natl Inst Technol Dept Comp Sci & Engn Silchar India Kaziranga Univ Dept Comp Sci & Engn Jorhat Assam India

ISBN: (纸本)9789819780501;9789819780518

The contemporary challenge of increased cyberattacks poses risks to individuals and businesses, impacting the availability, confidentiality, and integrity of sensitive data transmitted over networks. The resulting harm can vary from minor service interruptions to significant financial losses. While conventional security measures like firewalls and antivirus software provide an initial layer of protection, there is a recognized need to develop effective Intrusion Detection systems (IDS). Current IDS solutions incorporate various classifiers, both individual and ensemble, yet challenges persist in identifying novel intrusions accurately. Thiswork introduces a novel model, the Intrusion Detection System, using the Stacked Ensemble Learning Technique (IDSELSE), which addresses these challenges. IDSELSE leverages Kmeans SMOTE oversampling to handle class imbalance and enhance minority class representation. Additionally, it employs Boruta for feature selection, streamlining the model's efficiency by eliminating irrelevant features. In classification, IDSELSE utilizes the Stacked Ensemble Learning Technique with a combination of Light Gradient Boosting Machine (LGBM) and Decision Tree (DT) as base classifiers, supported by the meta-model Logistic Regression (LR), to make accurate predictions. Performance evaluation involves assessing F1-score and accuracy through tenfold cross-validation, demonstrating the consistent superiority of the proposed model over various single-classifier and ensemble models documented in the literature.

关键词： Intrusion detection system Stacked ensemble learning K-means smote oversampling Isolation forest outlier detection Decision tree Light gradient boosting machine and logistic regression

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Liars Know How to Argue: An Approach to Disinformation Analysis Based on Argument Mining 20th

Liars Know How to Argue: An Approach to Disinformation Analy...

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20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based systems

作者： Diaz-Garcia, Jose Angel Ruiz, M. Dolores Martin-Bautista, Maria J. Univ Granada Dept Comp Sci & Artificial Intelligence Daniel Saucedo Aranda S-N Granada 18014 Spain

ISBN: (纸本)9783031739965;9783031739972

The ongoing digital era is significantly impacted by the dissemination of fake news and disinformation. Addressing this issue involves delving into the realm of Artificial Intelligence, where Natural Language Processing (NLP) stands out as one of the most active areas capable of contributing to solutions. In this paper, we present an analysis grounded in argument mining, with a specific focus on understanding the creation of fake pieces of content in social media. Our research reveals that deceptive narratives in social media often incorporate a substantial component of arguments. This finding not only sheds light on the intricacies of misinformation but also provides valuable insights for future research in combating this pervasive issue.

关键词： argument mining disinformation social media analysis NLP

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