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Information Technology and Digital Innovation (ISITDI), International Symposium on

作者： Tati Erlina Salsa Kiki Violani Rifki Suwandi Yusuf Sulistyo Nugroho Syful Islam Computer Engineering Department Universitas Andalas Padang Indonesia Informatics Engineering Universitas Muhammadiyah Surakarta Surakarta Indonesia Computer Science and Engineering BSMRSTU Gopalganj

ISBN: (数字)9798350389241

ISBN: (纸本)9798350389258

Additive manufacturing, mainly 3D printing, has emerged as a transformative technology with widespread applications across various industries. Despite its advancements, filament brittleness remains a significant challenge, undermining the quality and reliability of printed objects. In order to address this challenge, this study built a specialized temperature and humidity management system specifically for 3D printing applications. The system utilizes a Proportional-Integral-Derivative (PID) control technique to regulate the temperature within the filament storage environment, mitigating the impact of thermal fluctuations and moisture absorption. The system has been carefully developed and tested to assure optimal printing conditions, exceptional filament quality, and uniform print accuracy and precision. Since hardware testing confirms minimum disparities between sensor readings and reference measurements, reliability in environmental management is ensured for optimized print outcomes. Moreover, software testing ensures the PID controller's efficient functionality by providing real-time monitoring and control capabilities. Functional testing reveals the system's effectiveness in maintaining optimal storage conditions for various filament types, improving the quality of prints, and minimizing waste. Incorporating essential components such as sensors, actuators, and user interface elements guarantees seamless operation and intuitive engagement.

关键词： Temperature sensors Temperature measurement Software testing Technological innovation Humidity User interfaces Three-dimensional printing Temperature control Software reliability PD control

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Tangles in IOTA to make crypto currency transactions free and secure

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International Journal of Cloud Computing 2022年第1期11卷 1-13页

作者： Anakath, A.S. Kannadasan, R. Prabakaran, N. Basha, M.S. Saleem Department of MCA EGS Pillai Engineering College Nagapattinam 611002 India School Computer Science and Engineering Vellore Institute of Technology Vellore632014 India Department of Computing and Informatics Mazoon College Muscat133 Oman

Blockchain introduction has made a revolutionary change in the crypto currency around the world but it has not delivered on its promises of free and faster transaction confirmation. Serguei Popov's proposal of using tangles, a directed acyclic graph, which essentially is considered to be the successor of blockchains and offers the required features like machine to machine micro payment and fee-less transaction. It requires the user to approve the previous two transactions in the web to participate in the network. This essentially eliminates the miners and the mining part form the currency exchange and provides the user or participants to do their transactions fee-less. Since the participant verifies the previous two transactions it also contributes to the security of the tangle. In this paper, features of internet of things application (IOTA) and all the improvements in it using tangles are discussed along with how it contributed to the security and how it enables the participants to have fee-less transactions is also discussed. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Distributed ledger

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A New Membrane Algorithm Based on Quasi-Affine TRansformation Evolution for Optimization Problems 1

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15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Wang, Xiaopeng Snášel, Václav Mirjalili, Seyedali Chu, Shu-Chuan Shehadeh, Hisham A. Bai, Zhonghai Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava Ostrava70800 Czech Republic Centre for Artificial Intelligence Research and Optimisation Torrens University Australia Brisbane4006 Australia College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Faculty of Computer Science and Informatics Amman Arab University Amman11953 Jordan

ISBN: (数字)9789819700684

ISBN: (纸本)9789819700677

This paper develops a new meta-heuristic algorithm, called Membrane Algorithm based on Quasi-Affine TRansformation Evolution (MA-QUATRE). The proposed algorithm combines the principles of QUATRE, the one-level membrane structure, and the rules of membrane systems. The different operations of QUATRE are for each inner elementary membrane and outer skin membrane, and the transformation/communication is like rules in membrane systems. For the effectiveness of MA-QUATRE, it is first evaluated on the CEC2022 benchmark and compared with five QUATRE-related algorithms. Further, the proposed algorithm is used to solve two engineering design problems (tension/compression spring and pressure vessel design) and compared with the original QUATRE and six state-of-the-art algorithms. Finally, experimental results show that the proposed MA-QUATRE is a competitive algorithm for optimization problems. The source codes of this algorithm can be found in https://***/matlabcentral/fileexchange/134372-ma-quatre and https://***/wangxper/***. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Membranes

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Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning

Decoding Gender on Social Networks: An In-depth Analysis of ...

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IEEE International Conference on Big Data

作者： Gerasimos Vonitsanos Andreas Kanavos Phivos Mylonas Computer Engineering and Informatics Department University of Patras Patras Greece Department of Informatics Ionian University Corfu Greece Department of Informatics and Computer Engineering University of West Attica Athens Greece

In today’s digital era, the internet is an indispensable platform for self-expression, facilitating communication, idea sharing, and community formation. Language, a pivotal tool in these online interactive spaces, is vital in reflecting personal identities, notably gender identification. This paper investigates gender identification on online discussion platforms, recognizing the crucial role of language in reflecting personal identities. The study employs Natural Language Processing techniques and machine learning algorithms to analyze data from a public discussion website. Beginning with a comprehensive literature review, the research explores the nexus between gender and language in online and offline contexts. The methodology involves data gathering, extensive preprocessing, and in-depth exploratory analysis, employing statistical methods and graphical representations. The study then rigorously evaluates their accuracy and effectiveness by applying diverse algorithms and models for gender-based text categorization. Results indicate the superior performance of transformer models, particularly distilBERT, in categorizing gender accurately. Additionally, the research underscores the challenges of gender-neutral analysis, emphasizing the need for inclusive methodologies in non-binary gender classification. The study contributes to the broader field of gender studies, providing valuable insights for future research and discussions on the interplay of gender and language in online spaces.

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The Relation Between a Tensor and Its Associated Semi-Symmetric Form

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Numerical Mathematics(Theory,Methods and Applications) 2022年第2期15卷 530-564页

作者： Hassan Bozorgmanesh Masoud Hajarian Anthony Theodore Chronopoulos Department of Applied Mathematics Faculty of Mathematical SciencesShahid Beheshti UniversityTehranIran Department of Computer Science University of TexasSan AntonioTexas 78249USA (Visiting Faculty)Department of Computer Engineering&Informatics University of PatrasRio 26500Greece

It is known that every tensor has an associated semi-symmetric *** purpose of this paper is to investigate the shared properties of a tensor and its semi-symmetric *** particular,a corresponding semi-symmetric tensor has smaller Frobenius norm under some conditions and can be used to get smaller bounds for eigenvalues and solutions of dynamical systems and tensor complementarity *** addition,every tensor has the same eigenvalues as its corresponding semi-symmetric form,also a corresponding semi-symmetric tensor inherits properties like being circulant,Toeplitz,Z-tensor,M-tensor,H-tensor and some ***,there are a two-way connection for properties like being positive definite,P-tensor,semi-positive,primitive and several others.

关键词： Tensor eigenvalue semi-symmetric tensor eigenvalue bound logarithmic norm tensor complementarity problem

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Automated User Experience (UX) Testing for Mobile Application: Strengths and Limitations

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第4期16卷 30-45页

作者： Abuaddous, Hayfa. Y. Saleh, Ashraf Mousa Enaizan, Odai Ghabban, Fahad Al-Badareen, Anas Bassam Faculty of Computer Sciences and Informatics Amman Arab University Amman Jordan Department of Management Information System University of Tabuk Tabuk Saudi Arabia College of Computer Science and Engineering Taibah University Medina Saudi Arabia Department of Software Engineering Aqaba University of Technology Aqaba Jordan

User Experience (UX) evaluation has a significant importance for any interactive application. Mobile device applications have additional limitations to convey good user experiences (UX) due to the usage and features of mobile devices in ubiquitous computing contexts. There are a lot of automated tools available for evaluating, such applications particularly developed for Android and iOS. Automated UX evaluation provides a number of strengths which are able to overcome the limitations of non-automated (moderated) counterparts. Automated UX evaluation is regarded as unexplored field, especially when it is adopted for the UX evaluation of complex mobile application. Despite these, automated UX evaluation tools are unexplored and should only be used in coupling with traditional UX evaluation techniques. Hence, this study aims to discuss the literature in automated UX evaluation and to highlight the UX measurements that merit further investigation. This paper presents the most fre-quently used automated UX evaluation tools for mobile applications. Therefore, the study analyzes existing automated UX tools and frameworks and identifies which UX attributes and measurements of automated UX evaluation are likely to be of use in future research. Moreover, we discuss the strengths and limitations of automated UX evaluation methods for mobile applications. Finally, the paper provides an overview of automated UX evaluation techniques and tools. It also presents the strengths and limitations for comparing various evaluation methods. © 2022,International Journal of Interactive Mobile Technologies. All Rights Reserved.

关键词： Automation

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Stress Detection Using EEG Signals: A SVM-Based Classification and Feature Selection Approach

Stress Detection Using EEG Signals: A SVM-Based Classificati...

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Electrical Power, Electronics, Communications, Controls and informatics Seminar (EECCIS)

作者： Fi Imanur Sifaunnufus Fitra Abdurrachman Bachtiar Barlian Henryranu Prasetio Department of Computer Engineering Faculty of Computer Science Brawijaya University Malang Indonesia Department of Informatics Engineering Faculty of Computer Science Brawijaya University Malang Indonesia

ISBN: (数字)9798350379914

ISBN: (纸本)9798350379921

Stress is a problem with various adverse effects, such as mental disorders and suicide. With these problems arising, a stress detection system is needed as an initial examination of the level of stress experienced. Generally, stress detection is done with a stress test at a hospital. However, medical examinations done in the hospital require high costs. Another alternative to examine stress levels is by using a biosignal electroencephalogram (EEG), which provides more objective and accurate results. In addition, there is a need to develop a portable device that can be used to detect stress. This study tries to detect stress levels using EEG Signals. The data used in this study is primary data that simulates several stress-level activities. In total, 55 subjects participated in this stress detection research. The received signal goes through preprocessing to clean it from noise and artifacts. The data will be extracted using Power Spectral Density (PSD) into power value for each signal frequency. The preprocessed input signals are then classified into indications of stress levels. This study uses Random Forest, SVM, and Decision Tree. The model is stored on a portable system with Raspberry Pi as the main component. EEG signals are taken using electrodes on Muse 2 and sent to the system. The classification model generates predicted stress levels and is displayed on a 16×2 LCD. SVM as the best model test result achieved a testing accuracy of 1, and an average computation time of 0.92.

关键词： Support vector machines Seminars Accuracy Hospitals Computational modeling Human factors Brain modeling Electroencephalography Random forests Testing

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3D Mesh Reconstruction from 2D Images: A NeRF based Approach 1

3D Mesh Reconstruction from 2D Images: A NeRF based Approach

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

作者： Abdelfattah, Mohamed Reda, Rania Salem, Mohammed A.-M. Abdennadher, Slim German University Cairo Media Engineering & Technology Cairo Egypt ITQAN CEO Cairo Egypt German International University Informatics & Computer Science Cairo Egypt

ISBN: (纸本)9798350335569

3D object reconstruction is a vital obstacle within computer vision, and several techniques have been proposed to tackle it. However, the automation of the reconstruction process continues to pose a significant challenge, and limited research has been devoted to this problem. We proposed a NeRF-based pipeline for robust multi-view object reconstruction. We conducted an extensive analysis of existing NeRF-based methods and addressed some of those limitations. Our proposed pipeline achieves 17.6% higher quality reconstructions at one-tenth of the time. We evaluated our pipeline using benchmark datasets, and our results show that it outperforms state-of-the-art approaches with respect to quantitative and qualitative evaluations, respectively. Our proposed pipeline offers a robust and efficient solution to the multi-view object reconstruction problem, with potential applications in several domains, including robotics, virtual, and augmented reality. © 2023 IEEE.

关键词： computer vision

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Developing an Anti -Phishing Large Language Model: A Focus Group Study on Human, Technological, and Legal Factors

Developing an Anti -Phishing Large Language Model: A Focus G...

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International Conference on Information, Intelligence, Systems and Applications (IISA)

作者： George A. Thomopoulos Panagiota Kiortsi Damianos Dumi Sigalas Dimitris Kosmopoulos Ioannis Igglezakis Christos Fidas Department of Electrical and Computer Engineering University of Patras Faculty of Law Aristotle University of Thessaloniki Department of Computer Engineering and Informatics University of Patras

ISBN: (数字)9798350368833

ISBN: (纸本)9798350368840

The phishing problem poses a significant threat in modern information systems, putting both individuals and businesses at risk of financial and professional harm. Owing to social media's rapid development and widespread appeal, deception of this sort is hurting millions of people and growing more dangerous. The current work, as part of the AILA (Artificial Intelligence-driven Framework and Legal Advice Tools for Phishing Prevention and Mitigation in Information Systems) project, aims to specify and validate an AI-driven multifactor (human, technology and legal) anti-phishing data model, with the implementation of focus group studies. The findings assist to provide human, technology, and legislative user model endpoints that will be identified and discussed for explicit and implicit user modeling, which will guide the development of the corresponding AI-driven user modeling and profiling mechanisms. To this end a Large Language System is planned to be employed.

关键词： Analytical models Data privacy Law Social networking (online) Phishing Prevention and mitigation Data models User experience Security Information systems

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Using Web Server Logs to Identify and Comprehend Anomalous User Activity

Using Web Server Logs to Identify and Comprehend Anomalous U...

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International Conference on Telecommunications (ConTEL)

作者： Lenka Benova Ladislav Hudec Faculty of Informatics and Information Technologies Institute of Computer Engineering and Applied Informatics Bratislava Slovakia

This research paper presents a study for identifying user anomalies in large datasets of web server requests. Using a cybersecurity company's network of web servers as a case study, we propose a technique for analyzing user activity in NGINX logs. The proposed method does not require a labeled dataset and is capable of efficiently identifying different user anomalies in large datasets with millions of daily requests. The results of the analysis provided a deeper understanding of user behavior when seeking updates through web requests and aided in interpreting the findings. Clustering the anomalies helped to produce typical clusters and further supported the interpretation of the results. This work provides valuable insights into user behavior in web server networks and highlights the importance of efficient anomaly detection techniques in large datasets. The findings have potential real-world applications in the field of cybersecurity, particularly in providing network security analysts with an automated and more objective approach to threat analysis. This study showcases the importance of automated methods for analyzing user activity in web server networks and provides a more objective and efficient approach to detecting user anomalies in large datasets. This approach contributes to the development of more effective and precise cybersecurity systems, ultimately improving the protection of network infrastructures from malicious attacks.

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