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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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Don't Forget the Exception! : Considering Robustness Changes to Identify Design Problems 20

Don't Forget the Exception! : Considering Robustness Changes...

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20th IEEE/ACM International Conference on Mining Software Repositories, MSR 2023

作者： Oliveira, Anderson Correia, Joao Sousa, Leonardo Assuncao, Wesley K. G. Coutinho, Daniel Garcia, Alessandro Oizumi, Willian Barbosa, Caio Uchoa, Anderson Pereira, Juliana Alves Informatics Department - Pontifical Catholic Rio de Janeiro Brazil Carnegie Mellon University Department of Electrical and Computer Engineering Pittsburgh United States Institute of Software Systems Engineering Linz Austria Itapajé Brazil

ISBN: (纸本)9798350311846

Modern programming languages, such as Java, use exception-handling mechanisms to guarantee the robustness of software systems. Although important, the quality of exception code is usually poor and neglected by developers. Indiscriminate robustness changes (e.g., the addition of empty catch blocks) can indicate design decisions that negatively impact the internal quality of software systems. As it is known in the literature, multiple occurrences of poor code structures, namely code smells, are strong indicators of design problems. Still, existing studies focus mainly on the correlation of maintainability smells with design problems. However, using only these smells may not be enough since developers need more context (e.g., system domain) to identify the problems in certain scenarios. Moreover, these studies do not explore how changes in the exceptional code of the methods combined with maintainability smells can give complementary evidence of design problems. By covering both regular and exception codes, the developer can have more context about the system and find complementary code smells that reinforce the presence of design problems. This work aims to leverage the identification of design problems by tracking poor robustness changes combined with maintainability smells. We investigated the correlation between robustness changes and maintainability smells on the commit history of more than 160k methods from different releases of 10 open-source software systems. We observed that maintainability smells can be worsened or even introduced when robustness changes are performed. This scenario mainly happened for the smells Feature Envy, Long Method, and Dispersed Coupling. We also analyzed the co-occurrence between robustness and maintainability smells. We identified that the empty catch block and catch throwable robustness smells were the ones that co-occurred the most with maintainability smells related to the Concern Overload and Misplaced Concern design problems. T

关键词： Maintainability

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An Architectural Extension for Digital Twin Platforms to Leverage Behavioral ModelsBehaviors 19

An Architectural Extension for Digital Twin Platforms to Lev...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Lehner, Daniel Gil, Santiago Mikkelsen, Peter H. Larsen, Peter G. Wimmer, Manuel CDL-MINT Institute of Business Informatics - Software Engineering Johannes Kepler University Linz Austria Aarhus University Department of Electrical and Computer Engineering Finlandsgade 22 Aarhus8200 Denmark

ISBN: (纸本)9798350320695

To reduce the work effort for developing and managing Digital Twin (DT)-based services, so-called DT platforms have emerged recently. These DT platforms make it easier to collect, store, and manage data from physical devices, but often they do not provide means for running behavioral models or synchronizing these with runtime data from the physical devices. These aspects are however crucial for developing many DT-based services. As a result, the implementation of a DT that uses behavioral models still requires a lot of implementation effort, which hinders the adoption of DTs for many applications, in particular for small and medium-sized enterprises that often do not have the resources to implement such complex systems. In this paper, we propose an extension to existing DT platforms that simplifies the incorporation of behavioral models. We base this extended platform on requirements derived from two particular use case examples that require behavioral modeling to run their DT services. We discuss the interfaces offered by the extended DT platform, demonstrate its applicability and evaluate the implementation and adaptation effort of our proposed solution in comparison to a baseline implementation. Based on the case studies, the evaluation shows that the extended DT platform reduces the implementation effort by 56% and the effort for adapting DT services across DTs by 39%, compared to existing DT platforms. © 2023 IEEE.

关键词： Behavioral research

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Emotion Recognition from Speech Using Convolutional Neural Networks

Emotion Recognition from Speech Using Convolutional Neural ...

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International Conference on Data Analytics and Management, ICDAM 2022

作者： Mahfood, Bayan Elnagar, Ashraf Kamalov, Firuz Department of Computer Science College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates Department of Electrical Engineering Canadian University Dubai Dubai United Arab Emirates

ISBN: (纸本)9789811976148

The human voice carries a great deal of useful information. This information can be utilized in various areas such as call centers, security and medicine among many others. This work aims at implementing a speech emotion recognition system that recognizes the speaker’s emotion using a deep learning neural network based on features extracted from audio clips. Different datasets including the RAVDESS, EMO-DB, TESS and an Emirati-based dataset were used to extract features. The features of each dataset were used as the input that would be fed into a convolution deep neural network for emotion classification. Several models were implemented based on extracted features from each dataset. The top three models that produced the best results were reported. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolution

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Feature Fool Exploitation for Lightweight Anomaly Detection in Respiratory Sound 10th

Feature Fool Exploitation for Lightweight Anomaly Detection...

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10th International Conference on Future Data and Security engineering, FDSE 2023

作者： Le, Kim-Ngoc T. Bang, Sammy Yap Xiang Le, Duc-Tai Choo, Hyunseung Department of AI Systems Engineering Sungkyunkwan University Seoul Korea Republic of College of Computing and Informatics Sungkyunkwan University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Seoul Korea Republic of

ISBN: (纸本)9789819982950

Respiratory sound auscultation with digital stethoscopes is a common technique for identifying lung disorders, however, it requires a qualified medical expert to interpret the sounds, and inter-listener variability results from subjectivity in interpretations. To improve diagnostic accuracy and enhance patient treatment, there is a growing need for automated detection of lung diseases. Deep neural networks (DNNs) have demonstrated substantial potential in addressing such challenges. However, DNNs demand a significant amount of data, and the largest available respiratory dataset, ICBHI, comprises only 6898 breathing cycles, which is insufficient to train a satisfactory DNN model. To address the issue, we propose a robust and lightweight model that employs a feature fool exploitation technique to identify respiratory anomalies. Next, we deploy two evaluation approaches to evaluate its performance: random 60/40 splitting and 5-fold cross-validation, against state-of-the-art methods, using the ICBHI dataset. Remarkably, our scheme outperforms existing approaches up to 18.26%, achieving impressive accuracy rates of 72.36% and 89.46%, using the two respective train/test splitting methods. The results show a significant improvement from our method over existing approaches, suggesting its promise for future respiratory healthcare technology research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Anomaly detection

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Flexible Real-Time Emulation of Fading Channels on SoC-FPGA Devices

Flexible Real-Time Emulation of Fading Channels on SoC-FPGA ...

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Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Ilias Papalamprou Giorgos Armeniakos Ioannis Stratakos George Lentaris Dimitrios Soudris School of Electrical and Computer Engineering National Technical University of Athens Department of Informatics and Computer Engineering University of West Attica

Modeling and replicating the channel effects between a transmitter and receiver, is crucial in any telecommunication system, in order to evaluate the impact on the transmitted data. Therefore the necessity of having access to a real time channel emulator is vital. In order to meet these constraints, in this work we present a flexible, high performance and resource efficient FPGA-based channel emulator, focusing on fading models. Additionally, we perform a trade-off analysis between bit accuracy, resources utilization and system’s accuracy in terms of Mean Relative Error and the Probability Density Function. Our study shows that by using a circuit with reduced bit-widths, we can achieve 24%–46% reduction in various resources, while preserving the algorithmic accuracy of the channel emulator and operating at a throughput of 500Msps.

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Identification Important Nodes in Diffusion Process by User Experience on Social Network 28

Identification Important Nodes in Diffusion Process by User ...

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28th International computer Conference, computer Society of Iran, CSICC 2023

作者： Kazemzadeh, Farzaneh Safaei, Ali Asghar Mirzarezaee, Mitra Islamic Azad University Department of Computer Engineering Science and Research Branch Tehran Iran Tarbiat Modares University Faculty of Medical Sciences Department of Medical Informatics Tehran Iran

ISBN: (纸本)9798350338195

The influence maximization problem (IMP) has been proposed in social networks. Nowadays, it is considered an important and practical problem due to the earnings potential by identifying a set of influential nodes, and therefore, it has been attracted by many researchers. This problem seeks to identify a set with K nodes among the social network nodes to maximize the influence and diffusion of information in that community. Algorithms proposed by other researchers have many shortcomings in terms of accuracy and run time of the algorithm. Hence, this article aimed to find the best, most accurate, and fastest solution to the *** article presented the UXM algorithm and used the User Experience criterion for the first time to solve this problem. At first, taking into account the reach club phenomenon and using criteria such as clustering coefficient, degree and also using user experience, nodes with more influence have been selected as the primary candidate set. Then, according to the component nodes, K final influential nodes have been selected. In this way, it could identify the set of nodes as accurately as possible with high efficiency in the shortest possible time. The evaluation of this algorithm and its comparison with other algorithms indicated excellent results in terms of run time and accuracy in selecting the set of nodes by the proposed algorithm. © 2023 IEEE.

关键词： Solvents

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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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Trust-Chain-Based Certificate Revocation Control in Autonomous Vehicle Networks 5

Trust-Chain-Based Certificate Revocation Control in Autonomo...

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5th International Conference on Information and Communications Technology, ICOIACT 2022

作者： Erceylan, Gizem Akcayol, M. Ali Informatics Institute Gazi University Ankara Turkey Gazi University Department of Computer Engineering Ankara Turkey

ISBN: (数字)9781665451406

ISBN: (纸本)9781665451406

One of the biggest problems in V2X communication is the inclusion of faulty or illegal nodes in the network. In V2X systems using PKI, the primary approach is to revoke the certificates of malicious and compromised vehicles and add them to a CRL. The issue of CRL distribution from the central server without high latency and high traffic is a subject of research. In this paper, a semi-distributed certificate revocation control system called trust-chain is proposed, which reduces the demand for CRL servers. In the simulation results, the number of requests to the central CRL server is reduced by 35% on average using the proposed semi-distributed structure. Additionally, in cases where vehicles cannot communicate with the RSU or central server, vehicles can communicate securely owing to the semi-distributed framework of the proposed system. © 2022 IEEE.

关键词： Network security

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Introduction to Advances in Information, Intelligence, Systems and Applications 14th

Introduction to Advances in Information, Intelligence, Syste...

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14th International Conference on Information, Intelligence, Systems, and Applications, IISA 2023

作者： Tsihrintzis, George A. Virvou, Maria Bourbakis, Nikolaos G. Jain, Lakhmi C. Department of Informatics University of Piraeus Piraeus185 34 Greece Department of Electrical and Computer Engineering Wright State University DaytonOH45435-0001 United States KES International Shoreham-by-Sea United Kingdom

ISBN: (纸本)9783031674259

Information is widely available and accessible, but frequently leads to information overload and overexposure and the effort for coding, storing, hiding, securing, transmitting, and retrieving it may be excessive. Intelligence, inspired by biological and other paradigms, is required to manage information and extract knowledge from it. Information and Multimedia Systems, with an increasing level of Intelligence, are being developed that incorporate these advances. As a result, new Technologies, Protocols, and novel Applications are emerging. In turn, the novel applications lead to the collection of new information and the "Information → Intelligence → Systems → Applications" circle is repeated at ever higher levels. This book includes extended versions of selected research works that were presented at the 14th International Conference on Information, Intelligence, Systems, and Applications (IISA2023), Volos, Greece, July 10–12, 2024 (https://***/iisa2023) along with additional relevant papers by invited authors. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as applications in the Energy, Agriculture, Medicine, Forensics, Healthcare, Education, Tourism, Inspection, Traffic and Software engineering. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Adversarial machine learning

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