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QoS Prediction Model of Cloud Services Based on Deep Learning

IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 564-566页

作者： WenJun Huang PeiYun Zhang YuTong Chen MengChu Zhou Yusuf Al-Turki Abdullah Abusorrah Nanjing University of Information Science&Technology School of Computer and SoftwareNanjingChina IEEE New Jersey Institute of Technology Helen and John C.Hartmann Department of Electrical and Computer EngineeringNewarkUSA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Dear editor,This letter presents a deep learning-based prediction model for the quality-of-service(QoS)of cloud ***,to improve the QoS prediction accuracy of cloud services,a new QoS prediction model is proposed,which is based on multi-staged multi-metric feature fusion with individual *** multi-metric features include global,local,and individual *** results show that the proposed model can provide more accurate QoS prediction results of cloud services than several state-of-the-art methods.

关键词： services Services individual

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How to Improve IT Specialists Training for Designing Cyber-Physical Systems 10

How to Improve IT Specialists Training for Designing Cyber-P...

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10th Mediterranean Conference on Embedded Computing, MECO 2021

作者： Pinkevich, Vasiliy Platunov, Alexey Kluchev, Arkady ITMO University Faculty of Software Engineering and Computer Systems Saint Petersburg Russia

ISBN: (纸本)9780738133614

Many universities today offer special courses or entire master programs for cyber-physical systems (CPS) developers training. A multi-aspect design route of the CPS creation is considered as the methodological vector, which should provide a parallel, balanced, and integrated movement from the task to the product. The most important part is knowledge and skills in computing, aimed at designing computing platforms and CPS application software. However, the ongoing segmentation in computing reduces the interdisciplinary interaction effectiveness. We consider the development of an integral perception of a computing system based on a multi-level and multi-domain representation model and a deep understanding of the fundamental universal mechanisms of its functioning as a way to improve the quality of design and the efficiency of interaction between computer specialists. This can be achieved by the development of microarchitectural descriptions of a computing system and its components, filling the gap between architectural representation and implementation-level documents. These principles should be implemented even during specialists training. The means of creating such models and descriptions, as well as the educational laboratory complex of distance learning, which supports the proposed approach, are demonstrated. © 2021 IEEE.

关键词： Embedded systems

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Technology acceptance model (TAM) for mobile durian plantation apps(Pro Durian);The analysis for Malaysian farmers 5

Technology acceptance model (TAM) for mobile durian plantati...

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5th International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2023

作者： Kamarudin, Noraziahtulhidayu Yusoff, Aiman Basari, Abd Samad Hasan Safar, Noor Zuraidin Bin Mohd Hussin, Mohd Hatta Universiti Tun Hussein Onn Multimedia and Signal Processing Focus Group Faculty of Computer Science and Information Department of Multimedia Malaysia Universiti Tun Hussein Onn Faculty of Computer Science and Information Department of Multimedia Malaysia Universiti Tun Hussein Onn Faculty of Computer Science and Information Technology Department of Software Engineering Malaysia Universiti Tun Hussein Onn Faculty of Computer Science and Information Department of Information Security and Web Technology Malaysia Pertubuhan Peladang Senggarang Johor Darul Takzim Malaysia

ISBN: (纸本)9798350337525

During the application development process, it is important for a developer to analyze user requirements. This is crucial to the success of interactive systems and is an essential component of the design of information systems. User requirement analysis aids developers in understanding and analyzing users' needs and technology requirements. Throughout this case study, it is able to forecast the understanding, and technology acceptance, and at the same time improve the quality of work, reducing training and support costing and perennially improve customer or user satisfaction. The method of research selected is questionnaires that focused on collecting the data directly from Malaysian farmers through Google Forms as an online medium. The method was chosen because it is easy to implement and inexpensive due to the current situation of Covid-19. The questionnaire is designed with two sections where;a) includes the participant's demography to analyze information of the intended audience while b)focused on the knowledge of participants about recognition images. Results demonstrate the farmer's opinion and knowledge of the technology of image recognition in the agriculture sector. The quantitative research was undertaken using an online platform due to the Covid-19 pandemic. From the analysis, it is justified that the Technology Acceptance Model (TAM) together with the mobile farming image recognition app is useful in collecting farmers' feedback and positive results have an outcome on the challenges faced by the durian farmers. © 2023 IEEE.

关键词： Image recognition

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Synthesis Method for CGRA Processors based on Imitation Model 10

Synthesis Method for CGRA Processors based on Imitation Mode...

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10th Mediterranean Conference on Embedded Computing, MECO 2021

作者： Penskoi, Aleksandr ITMO University Software Engineering and Computer Systems Faculty Saint Petersburg Russia

ISBN: (纸本)9780738133614

The article considers the problem of designing a synthesis method for Coarse-Grained Reconfigurable Array (CGRA) architectures. The author observes several general problems of such architecture and demonstrates how they can be solved using the NITTA project example. NITTA - the CAD for generating and programming CGRA processors for cyclic execution of control or signal/data processing algorithms. Target system work principles from hardware, algorithm, and transport points of view provided. The principles of building a target system imitation model and synthesis method based on interaction with that model in dialog form are described. All ideas were demonstrated on the simple algorithm example. © 2021 IEEE.

关键词： Field programmable gate arrays (FPGA)

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DasAtom: A Divide-and-Shuttle Atom Approach to Quantum Circuit Transformation

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Huang, Yunqi Gao, Dingchao Ying, Shenggang Li, Sanjiang Faculty of Engineering and Information Technology SydneyNSW2007 Australia Institute of Software Chinese Academy of Sciences Key Laboratory of System Software Chinese Academy of Sciences State Key Laboratory of Computer Science China

Neutral atom (NA) quantum systems are emerging as a leading platform for quantum computation, offering superior or competitive qubit count and gate fidelity compared to superconducting circuits and ion traps. However, the unique features of NA devices, such as long-range interactions, long qubit coherence time, and the ability to physically move qubits, present distinct challenges for quantum circuit compilation. In this paper, we introduce DasAtom, a novel divide-and-shuttle atom approach designed to optimise quantum circuit transformation for NA devices by leveraging these capabilities. DasAtom partitions circuits into subcircuits, each associated with a qubit mapping that allows all gates within the subcircuit to be directly executed. The algorithm then shuttles atoms to transition seamlessly from one mapping to the next, enhancing both execution efficiency and overall fidelity. For a 30-qubit Quantum Fourier Transform (QFT), DasAtom achieves a 415.8x improvement in fidelity over the move-based algorithm Enola and a 10.6x improvement over the SWAP-based algorithm Tetris. Notably, this improvement is expected to increase exponentially with the number of qubits, positioning DasAtom as a highly promising solution for scaling quantum computation on NA platforms. © 1982-2012 IEEE.

关键词： Qubits

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A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective 24

A Deep Learning Approach Towards Student Performance Predict...

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24th International Arab Conference on Information Technology, ACIT 2023

作者： Moubayed, Abdallah Injadat, MohammadNoor Alhindawi, Nouh Samara, Ghassan Abuasal, Sara Alazaidah, Raed School of Computing and Augmented Intelligence Arizona State University GilbertAZ United States Lebanese American University Electrical and Computer Engineering Department Byblos Lebanon Western University Electrical and Computer Engineering Department LondonON Canada Zarqa University Faculty of Information Technology Data Science and Artificial Intelligence Department Zarqa Jordan Jadara University Faculty of Science and Information Technology Irbid Jordan Zarqa University Faculty of Information Technology Computer Science Department Zarqa Jordan Zarqa University Faculty of Information Technology Software Engineering Department Zarqa Jordan

ISBN: (纸本)9798350384307

Analyzing and evaluating students' progress in any learning environment is stressful and time consuming if done using traditional analysis methods. This is further exasperated by the increasing number of students due to the shift of focus toward integrating the Internet technologies in education and the focus of academic institutions on moving toward e-Learning, blended, or online learning models. As a result, the topic of student performance prediction has become a vibrant research area in recent years. To address this, machine learning and data mining techniques have emerged as a viable solution. To that end, this work proposes the use of deep learning techniques (CNN and RNN-LSTM) to predict the students' performance at the midpoint stage of the online course delivery using three distinct datasets collected from three different regions of the world. Experimental results show that deep learning models have promising performance as they outperform other optimized traditional ML models in two of the three considered datasets while also having comparable performance for the third dataset. © 2023 IEEE.

关键词： Deep Learning e-Learning Online Courses Student Performance Prediction

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Design of Deep CNN Model for Effective Traffic Signs Recognition

Design of Deep CNN Model for Effective Traffic Signs Recogni...

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2021 International Russian Automation Conference, RusAutoCon 2021

作者： Sichkar, Valentyn N. Lyamin, Andrey V. Itmo University Faculty of Software Engineering and Computer Systems Saint-Petersburg Russia

ISBN: (纸本)9780738131566

In this paper, the method to design deep Convolutional Neural Network (CNN) architecture for the problem of traffic signs classification is proposed. The approach incorporates five main stages followed by each other: selecting the deepness of the network via the number of convolutional-pooling pairs, choosing the needed number of feature maps in every convolutional layer, identifying the sufficient number of neurons in the hidden fully connected layer, estimating the needed percentage of dropout after every layer. The last stage is aimed to analyse if replacing max pooling by convolution with strides 2 or by average pooling improves designed architecture. At each stage, every designed model is trained and evaluated 100 times. The choice of the best model to continue with at the next stage is based on the highest of the most frequent accuracy. The obtained final architecture is trained and tested with the original German Traffic Sign Recognition Benchmark (GTSRB) and its augmented version via geometric transformations: rotation around the centre point and projection to different sides that imitates capturing of images by the camera with some skew angle. Experimental results showed testing accuracy of more than 99.9% that enables to use designed architecture in real-life applications. © 2021 IEEE.

关键词： Traffic signs

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Classification of Stakeholders of an Information System using Fuzzy based Adjusted Cosine Similarity Measure during Requirements Elicitation Process

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Procedia computer Science 2023年 230卷 620-628页

作者： Faiz Akram Tanvir Ahmad Mohd. Sadiq Department of Computer Engineering Faculty of Engineering and Technology Jamia Millia Islamia New Delhi-25 India Software Engineering Laboratory Computer Engineering Section UPFET Jamia Millia Islamia New Delhi-25 India

Requirements elicitation process is employed for the identification of stakeholders of an information system. A large number of stakeholders from different domains across the globe participate during the requirements elicitation process. Based on our review, we found that existing methods for the analysis of stakeholders do not support how to classify the stakeholders based on the similarity measures. These measures play an important role for the recommendation of an item/user in a recommendation system. Thus, the objective of this paper is to classify the stakeholders of an information system using fuzzy-based adjusted cosine similarity measure. We have identified the stakeholders of library information system and their opinions for different requirements are recorded. The identified stakeholders have been classified and analysed based on the following similarity measures under fuzzy environment, i.e., Cosine similarity measure, Euclidean distance, Pearson coefficient correlation etc., so that stakeholders having similar requirements can be recommended to strengthen the requirements elicitation process.

关键词： software Requirements Elicitation Information System Similarity Measures Recommendation System Stakeholders

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Location Detection of an Object Non Line of Sight with Audio Signal

Location Detection of an Object Non Line of Sight with Audio...

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International Artificial Intelligence and Data Processing Symposium (IDAP)

作者： Nevzat Olgun Mücahit Çalişan Department of Software Engineering Afyon Kocatepe University Afyonkarahisar Türkiye Department of Computer Engineering Engineering and Architecture Faculty Bingöl Türkiye

ISBN: (数字)9798331531492

ISBN: (纸本)9798331531508

Locating objects Non-Line-of-Sight is an important challenge in many fields such as defense applications, autonomous vehicles, natural disasters, etc. With the advancement of signal processing techniques, there has been an increased interest in the detection of objects in hidden areas. In this respect, audio signals have a strong potential as a low-cost technology for object localization. This study presents an experimental application to detect the location of hidden objects Non-Line-of-Sight based on audio signals. The signals from the sound source strike the hidden object through a reflecting surface, such as a wall, and are received back from the reflecting surface as secondary signals. In this study, object detection can be performed with acoustic sound signals without physically intervening in an area beyond the line of sight and without locating any sensors in this area. The experimental results obtained from the study show that the position detection of an object located Non-Line-of-Sight can be done satisfactorily.

关键词： Location awareness Disasters Object detection Signal processing Data processing Acoustics Artificial intelligence Intelligent sensors Autonomous vehicles

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A Survey of Edge Computing Privacy and Security Threats and Their Countermeasures

A Survey of Edge Computing Privacy and Security Threats and ...

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IEEE computer Society Annual Symposium on VLSI

作者： Ahmed Shafee Tasneem A. Awaad Ahmed Moro Department of Engineering and Computer Science Adams State University Alamosa CO USA Department of Computer and Systems Engineering Faculty of Engineering Ain Shams University Cairo Egypt Siemens Digital Industries Software Lifecycle Collaboration Software Segment Cairo Egypt

ISBN: (数字)9798350354119

ISBN: (纸本)9798350354126

Recent advancements in Artificial Intelligence (AI) and the proliferation of the Internet of Things (loT) and mobile devices have generated enormous data volumes, necessitating advanced data processing closer to data sources through edge computing to enhance efficiency and reduce latency. Nonetheless, privacy concerns in cloud storage and data transmission, alongside the inadequacy of traditional privacy protections, have highlighted the vulnerability to sophisticated data breaches. This paper offers a survey on edge computing, emphasizing privacy and security challenges, evaluating threats, and exploring solutions to promote the development of secure, robust and privacy-preserving edge computing frameworks.

关键词： Surveys Data privacy Cloud computing Privacy Very large scale integration Data processing Security

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