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检索条件"任意字段=International Conference on Multimedia, Software Engineering and Computing"

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multimedia Positive computing Through Transition in Affective and Impression Spaces 23

Multimedia Positive Computing Through Transition in Affectiv...

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23rd ACIS international Summer Virtual conference on software engineering, Artificial Intelligence, Networking and Parallel/Distributed computing, SNPD-Summer 2022

作者： Hochin, Teruhisa Kyoto Institute of Technology Faculty of Information and Human Sciences Kyoto Japan

ISBN: (纸本)9798350396379

This paper focuses on positive computing using multimedia data called multimedia positive computing. The impression of multimedia data is used to change a person's mood. Presenting a piece of multimedia data induces a person to have a mood corresponding to its impression. This paper proposes a method of the transition of the impression of multimedia data in the impression space. According to the impression transition of multimedia data, a person's mood is looking forward to being transitted. For a gradual change of the impression of multimedia data, the proposed method decides intermediate points between the points corresponding to the initial and the destination moods. The feasibility of this transition method is shown by demonstrating some transitions of the impressions of pictures. © 2022 IEEE.

关键词： Impression Picture Positive computing Transition Well-being

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PlayMyData: a curated dataset of multi-platform video games 21

PlayMyData: a curated dataset of multi-platform video games

引用

IEEE/ACM 21st international conference on Mining software Repositories (MSR)

作者： D'Angelo, Andrea Di Sipio, Claudio Politowski, Cristiano Rubei, Riccardo Univ Aquila Laquila Italy Univ Montreal DIRO Montreal PQ Canada

ISBN: (纸本)9798350363982;9798400705878

Being predominant in digital entertainment for decades, video games have been recognized as valuable software artifacts by the software engineering (SE) community just recently. Such an acknowledgment has unveiled several research opportunities, spanning from empirical studies to the application of AI techniques for classification tasks. In this respect, several curated game datasets have been disclosed for research purposes even though the collected data are insufficient to support the application of advanced models or to enable interdisciplinary studies. Moreover, the majority of those are limited to PC games, thus excluding notorious gaming platforms, e.g., PlayStation, Xbox, and Nintendo. In this paper, we propose PlayMyData, a curated dataset composed of 99,864 multi-platform games gathered by the IGDB website. By exploiting a dedicated API, we collect relevant metadata for each game, e.g., description, genre, rating, gameplay video URLs, and screenshots. Furthermore, we enrich PlayMyData with the timing needed to complete each game by mining the HLTB website. To the best of our knowledge, this is the most comprehensive dataset in the domain that can be used to support different automated tasks in SE. More importantly, PlayMyData can be used to foster cross-domain investigations built on top of the provided multimedia data.

关键词： video games data mining software engineering

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An Affective computing Electroencephalogram-based System with Machine Learning Algorithms

An Affective Computing Electroencephalogram-based System wit...

引用

2024 international conference on Computer engineering, Network and Intelligent multimedia, CENIM 2024

作者： Salim, Israa Laith Awad, Osama Ali Abdulhadi, Ali Sadeq Al-Nahrain University Department of Information and Communication Engineering College of IE Baghdad Iraq Techniques Engineering Al-Mustaqbal University Department of Medical Instrumentation Babylon Iraq

ISBN: (纸本)9798350368802

Affective computing plays a crucial role in the Human-Computer Interaction (HCI) field by enabling computers to recognize, interpret, process, and simulate emotions evoked by positive/negative events, objects, or situations. It presents new avenues for applications ranging from personalized user interfaces to mental health monitoring. In this study, an affective computing system for human emotion recognition is developed by measuring the electrical activity of brain, Electroencephalogram (EEG) signals for 15 participants were recorded. Using Machine Learning (ML) algorithms to classify emotional states into three emotion dimensions: valence, arousal, and dominance. Two ML algorithms, Naïve Bayes (NB) and Artificial Neural Network (ANN) are exploited. The system also validated with EEG data from the public DREAMER dataset and compared with recorded data. Results demonstrate the feasibility and effectiveness of the proposed EEG-based affective computing system in accurately identifying and categorizing emotions, leveraging the designed ANN classifier;a maximum accuracy of 95.61% is achieved. © 2024 IEEE.

关键词： Emotion Recognition

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QSroute : A QoS Aware Routing Scheme for software Defined Networking 8

QSroute : A QoS Aware Routing Scheme for Software Defined Ne...

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8th IEEE international conference on software engineering and Computer Systems, ICSECS 2023

作者： Kamarudin, Imran Edzereiq Ameedeen, Mohamed Ariff Umar Ong, Muhamad Idaham Zabidi, Azlee Universiti Malaysia Pahang AL-Sultan Abdullah Faculty of Computing Department of Computer Systems and Networking Pekan Malaysia Department of Software Engineering Faculty of Computing Universiti Malaysia Pahang AL-Sultan Abdullah Pekan Malaysia

ISBN: (纸本)9798350310931

The increasing demand for bandwidth-intensive network applications, such as video streaming, multimedia, and Internet of Things (IoT) applications, necessitates improved resource management to protect the network without compromising Quality of Service (QoS). Meeting these challenges requires a centralized view of all available network resources. software Defined Networking (SDN), an emerging technology, provides a centralized view and control of network resources. This feature enables administrators to programmatically define and manage network behavior, including routing, making it more flexible and adaptable. This study proposes a QoS-aware routing scheme for SDN that considers available bandwidth, packet delay, and packet loss to determine the optimal routing path. Optimal paths are selected based on meeting predefined threshold criteria. The study concludes by discussing potential directions for future research in this field. © 2023 IEEE.

关键词： Quality of service

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A Testing Pipeline for Quantum computing Applications

A Testing Pipeline for Quantum Computing Applications

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2nd IEEE international conference on Quantum software (IEEE QSW)

作者： Becker, Colin Kai-Uwe Gheorghe-Pop, Ilie-Daniel Tcholtchev, Nikolay Fraunhofer Inst Open Commun Syst FOKUS Berlin Germany

ISBN: (纸本)9798350304794

As the scientific community is increasing the coverage of the quantum computing domain ranging from theoretical physics to financial applications, so does the number of quantum computing applications being developed for quantum computing hardware that is available today. As this hardware evolves towards increased capacity in terms of qubit number and increased fidelity, so does the complexity of quantum computing applications that implement the state-of-the-art of (hybrid) quantum algorithms. With this comes an increased demand for quantum software engineering practices where testing is a crucial part of the development process. Hence, a robust approach that addresses certain challenges and peculiarities related to the quantum computing domain is needed for the testing process. This paper proposes a standard-ready testing pipeline that covers the requirements of testing in a continuous development cycle as part of a modern quantum software engineering lifecycle.

关键词： Quantum computing Quantum software engineering NISQ Testing Debugging

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A Comprehensive Study on Mobile Edge computing for multimedia Communication 15

A Comprehensive Study on Mobile Edge Computing for Multimedi...

引用

15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Sudhakar, Aiswarya Madheswari, A. Neela Mahendra Engineering College Namakkal India

ISBN: (纸本)9798331300579

Thanks to the recent rapid development of 5G technology, multimedia communication services, such as live streaming and short movies, have attracted a lot of attention and are now a big component of people's daily social contacts. However, the growing demand for multimedia communication creates new challenges for the wireless network's processing and transmission capabilities. Many believe that mobile edge computing (MEC) offers a possible solution to the problems listed above. A potential answer to capacity and performance issues in aging systems, such as Mobile Cloud computing (MCC), has been identified as Mobile Edge computing. In this study, we focus on task scheduling in a resource-constrained MEC network, where a number of base stations (BS), each with a MEC server, help a number of latency-sensitive user equipments (UEs) with their computation. By carefully planning the task scheduling between UEs and BSs, we hope to simultaneously reduce the system's consumption energy and increase the number of offloaded tasks. In the IoT space, computation offloading is growing in popularity. Individual devices cannot meet the massive demand for computational resources. These days, several quantified QoS targets, including time, cost, energy, and bandwidth, are optimized to meet this issue. A thorough explanation of the numerous works that are planned to address the aforementioned problems is provided in this work. © Grenze Scientific Society, 2024.

关键词： Mobile edge computing

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FaaSConf: QoS-aware Hybrid Resources Configuration for Serverless Workflows 24

FaaSConf: QoS-aware Hybrid Resources Configuration for Serve...

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39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Wang, Yilun Chen, Pengfei Dou, Hui Zhang, Yiwen Yu, Guangba He, Zilong Huang, Haiyu Anhui Univ Hefei Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

Serverless computing, also known as Function-as-a-Service (FaaS), is a significant development trend in modern software system architecture. The workflow composition of multiple short-lived functions has emerged as a prominent pattern in FaaS, exposing a considerable resources configuration challenge compared to individual independent serverless functions. This challenge unfolds in two ways. Firstly, workflows frequently encounter dynamic and concurrent user workloads, increasing the risk of QoS violations. Secondly, the performance of a function can be affected by the resource reprovision of other functions within the workflow. With the popularity of the mode of concurrent processing in one single instance, concurrency limit as a critical configuration parameter imposes restrictions on the capacity of requests per instance. In this study, we present FaaSConf, a QoS-aware hybrid resource configuration approach that uses multi-agent reinforcement learning (MARL) to configure hybrid resources, including hardware resources and concurrency, thereby ensuring end-to-end QoS while minimizing resource costs. To enhance decision-making, we employ an attention technique in MARL to capture the complex performance dependencies between functions. We further propose a safe exploration strategy to mitigate QoS violations, resulting in a safer and efficient configuration exploration. The experimental results demonstrate that FaaSConf outperforms state-of-the-art approaches significantly. On average, it achieves a 26.5% cost reduction while exhibiting robustness to dynamic load changes.

关键词： Serverless computing Configuration Tuning MARL

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Lejacon: A Lightweight and Efficient Approach to Java Confidential computing on SGX 23

Lejacon: A Lightweight and Efficient Approach to Java Confid...

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45th IEEE/ACM international conference on software engineering (ICSE)

作者： Miao, Xinyuan Lin, Ziyi Wang, Shaojun Yu, Lei Li, Sanhong Wang, Zihan Nie, Pengbo Chen, Yuting Shen, Beijun Jiang, He Shanghai Jiao Tong Univ Shanghai Peoples R China Alibaba Grp Shanghai Peoples R China Dalian Univ Technol Dalian Peoples R China

ISBN: (纸本)9781665457019

Intel's SGX is a confidential computing technique. It allows key functionalities of C/C++/native applications to be confidentially executed in hardware enclaves. However, numerous cloud applications are written in Java. For supporting their confidential computing, state-of-the-art approaches deploy Java Virtual Machines (JVMs) in enclaves and perform confidential computing on JVMs. Meanwhile, these JVM-in-enclave solutions still suffer from serious limitations, such as heavy overheads of running JVMs in enclaves, large attack surfaces, and deep computation stacks. To mitigate the above limitations, we formalize a Secure Closed-World (SCW) principle and then propose Lejacon, a lightweight and efficient approach to Java confidential computing. The key idea is, given a Java application, to (1) separately compile its confidential computing tasks into a bundle of Native Confidential computing (NCC) services;(2) run the NCC services in enclaves on the Trusted Execution Environment (TEE) side, and meanwhile run the non-confidential code on a JVM on the Rich Execution Environment (REE) side. The two sides interact with each other, protecting confidential computing tasks and as well keeping the Trusted computing Base (TCB) size small. We implement Lejacon and evaluate it against OcclumJ (a state-of-the-art JVM-in-enclave solution) on a set of benchmarks using the BouncyCastle cryptography library. The evaluation results clearly show the strengths of Lejacon: it achieves competitive performance in running Java confidential code in enclaves;compared with OcclumJ, Lejacon achieves speedups by up to 16.2x in running confidential code and also reduces the TCB sizes by 90+% on average.

关键词： software Guard Extensions Separation Compilation Native Confidential computing Service Runtime Secure Closed-World

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Towards Human-Centred Crowd computing: software for Better Use of Computational Resources 23

Towards Human-Centred Crowd Computing: Software for Better U...

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IEEE/ACM 45th international conference on software engineering - New Ideas and Emerging Results (ICSE-NIER)

作者： Fernando, Niroshinie Arora, Chetan Loke, Seng W. Alam, Lubna La Macchia, Stephen Graesser, Helen Deakin Univ Geelong Australia Monash Univ Clayton Vic Australia

ISBN: (纸本)9798350300390

Internet-connected smart devices are increasing at an exponential rate. These powerful devices have created a yet-untapped pool of idle resources that can be utilised, among others, for processing data in resource-depleted environments. The idea of bringing together a pool of smart devices for "crowd computing" (CC) has been studied in the recent past from an infrastructural feasibility perspective. However, for the CC paradigm to be successful, numerous socio-technical and software engineering (SE), specifically the requirements engineering (RE)-related factors are at play and have not been investigated in the literature. In this paper, we motivate the SE-related aspects of CC and the ideas for implementing mobile apps required for CC scenarios. We present the results of a preliminary study on understanding the human aspects, incentives that motivate users, and CC app requirements, and present our future development plan in this relatively new field of research for SE applications.

关键词： Crowd computing Human Factors Mobile Applications Requirements engineering

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Exploring the Potential Implications of AI-generated Content in Social engineering Attacks

Exploring the Potential Implications of AI-generated Content...

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international conference on multimedia computing, Networking and Applications (MCNA)

作者： Alahmed, Yazan Abadla, Reema Al Ansari, Mohammed Jassim Al Ain Univ Fac Engn Abu Dhabi U Arab Emirates Univ Cent Lancashire Sch Business Preston Lancs England

ISBN: (纸本)9798350354744;9798350354737

The evolution of artificial intelligence (AI) and machine learning presents both utility and security implications for our digital interactions. This study focuses on the transformative role of generative AI in social engineering attacks, specifically examining three pillars where it significantly amplifies their impact: advanced targeting and personification, genuine content creation, and automated attack infrastructure. The analysis forms a conceptual model named the generative AI social engineering framework. The research delves into human implications and measures to counter social engineering attacks, blending theoretical analysis with practical insights through case studies. Ethical considerations surrounding AI in malicious activities are discussed, emphasizing the importance of safe AI development, and various articles were reviewed to highlight social engineering attacks as a common threat. Two studies were conducted: a user testing study with 48 participants from diverse occupations and social engineering awareness, and an exploratory study collecting qualitative data from 40 social engineering attack victims. The user testing study revealed universal acceptance of the AI-based tool, irrespective of participants' occupations. Victim themes included reasons for falling prey to attacks, methods, prevention advice, and detection. The research concludes by highlighting AI-generated content as a key factor fueling social engineering attacks and bridging the gap between AI development and cybersecurity practices, highlighting the need for interdisciplinary approaches to address evolving challenges.

关键词： Machine learning Chatbot social engineering Artificial intelligence Phishing ChatGPT

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