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Machine Learning-Based Prediction of MPI Communication time in High-Performance computing applications 6

Machine Learning-Based Prediction of MPI Communication Time ...

引用

6th international conference on Frontier Technologies of Information and Computer, ICFTIC 2024

作者： Wang, Zhuang Zhuang, Yuan Zeng, Yunhui Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Jinan China

ISBN: (纸本)9798331541750

The rapid advancements in high-performance computing (HPC) have made large-scale parallel computing feasible. As a commonly used parallel programming model, Message Passing Interface (MPI) plays a crucial role in HPC systems and directly affects the performance and efficiency of these applications. Therefore, modeling and predicting the performance of MPI communication is critically important. This paper utilizes a machine learning-based approach to predict MPI communication time. It uses performance analysis tools to collect real-time communication data and select critical features related to execution time. The data is categorized, then, for each type of MPI communication, a dedicated regression model is trained. Firstly, XGBoost and Artificial Neural Networks (ANN) are employed for function level modeling. Then, fusion techniques are used to combine XGBoost and ANN models to improve prediction accuracy. Finally, these function level models are integrated into an application level model to predict the overall communication time. This model is evaluated using CG, FT, and CPMD. Experimental results show that the average prediction errors of the model are 12.6%, 13.2%, and 13.5%, with a minimum error of 7%. © 2024 ieee.

关键词： Prediction models

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Multi-Head Self-Attention Mechanisms in Vision Transformers for Retinal Image Classification

Multi-Head Self-Attention Mechanisms in Vision Transformers ...

引用

2024 ieee international conference on computing, applications and systems, COMPAS 2024

作者： Islam, Oahidul Kumer, Kowshik Akter, Sumaia Uddin, Md Mohi Daffodil International University Department of Electrical and Electronic Engineering Dhaka Bangladesh Daffodil International University Department of Software Engineering Dhaka Bangladesh

ISBN: (纸本)9798331529765

Diabetic Retinopathy (DR) is a serious condition that can lead to eyesight loss in those who have diabetes if not identified early. The traditional diagnosis approach relies on the manual scrutiny of retinal images by specialists, a process that can be both time-consuming and susceptible to errors. Artificial intelligence (AI) has the potential to revolutionize this field by providing automated, precise, and rapid identification of diabetic retinopathy (DR). In our study, we utilized Vision Transformers (ViTs) to achieve effective classification of retinal images. ViTs are advanced models that divide images into patches and utilize multi-head self-attention approaches to identify important features. The model demonstrated outstanding achievement, with a success rate of 96.13%, precision of 0.92, recall of 0.95, F1 score of 0.93, and ROC- AUC score of 0.969. The results of this study have significant implications for improving the detection of DR, enabling timely intervention, and potentially safeguarding the vision of a large number of individuals. Future research will focus on improving the resilience of the model by incorporating a wider range of datasets and optimizing its integration with medical procedures to ensure dependable and efficient performance in real-world scenarios. © 2024 ieee.

关键词： Ophthalmology

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Design Principles of Efficient Data-driven S-transform Hardware realization 12

Design Principles of Efficient Data-driven S-transform Hardw...

引用

12th Mediterranean conference on embedded computing, MECO 2023

作者： Radovic, Nevena Ivanovic, Veselin N. Djurovic, Igor Simeunovic, Marko University of Montenegro Electrical Engineering Department Cetinjski put bb Podgorica81000 Montenegro University of Donja Gorica Faculty for Information Systems and Technologies Oktoih 1 Podgorica81000 Montenegro

ISBN: (纸本)9798350322910

S-transform is a prominent time-frequency representation suitable for various practical applications. Our previous research has been focused on hardware implementations of its several forms. This paper represents continuation of efforts towards the proposal of design principles that keep the hardware complexity at the reasonable level and enable implementation of the data-driven S-transform. The influence of the presented principles on the usage of hardware resources during implementation is analyzed, along with the comparative analysis of realizations of different S-transform forms. © 2023 ieee.

关键词： real time control

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Power and area-efficient digital filters for communication applications 1

Power and area-efficient digital filters for communication a...

引用

1st international conference on Advanced computing and Emerging Technologies, ACET 2024

作者： Zode, Pradnya Zode, Pravin Dhondse, Shweta Jajulwar, Kapil K. Y.C.College of Engineering Deptt. of Electronics Engg. Nagpur India G H Raisoni College of Engineering Deptt. of Electronics and Telecommunication Engg. Nagpur India

ISBN: (纸本)9798350367720

The paper introduces an innovative time-dependent finite impulse response (FIR) filter designed for utilization in time-mode signal processing systems like mobile phones and digital transmitters-receivers. The filter's functioning structure is embedded in the principles of high-level transformation techniques like parallel processing and folding. In this paper 6-tap FIR filter is designed and implemented using parallel processing and folding techniques for low power consumption and area minimization. The proposed FIR filter is modeled in Xilinx using Verilog hardware descriptive language and synthesized with the XST tool. The target implementation platform is the Xilinx ML605 embedded development kit to investigate the LUTs and power consumption of the design. The proposed filter reduces the major concern parameters of a design as power and area. The implementation results discover that the area is reduced to 90.83% of the existing method and power is reduced to 67.25% of the existing method. The findings represent a significant step ahead in hardware efficiency optimization. © 2024 ieee.

关键词： FIR filters

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Sign Language Detection in real-time applications

Sign Language Detection in Real-Time Applications

引用

2024 international conference on computing and Intelligent reality Technologies, ICCIRT 2024

作者： Milinda, Renata Rachael Sara Ramsiej, Barrister Yasmin, Reshma Ambeth Kumar, V.D. Sekar, K. Anna University India Dept. of Artificial Intelligence and Machine Learning Anna University India Dept. of Computer Engineering Mizoram University Aizawl India Department of AIML Rajalakshmi Engineering College Chennai India

ISBN: (纸本)9798331510299

Individuals with hearing and speech impairments often rely on gesture language for communication, but a lack of widespread understanding of this language among others creates significant barriers. A machine learning model that recognizes hand signals and converts them into English can help bridge this gap, facilitating communication between hearing and deaf individuals. Existing non-verbal communication identification systems, while leveraging computational learning and AI models for both single- and double-handed gestures, generally lack real-time capabilities. This research proposes a live symbolic language identification platform that uses a webcam to build a regional gesture communication dataset and TensorFlow for cross-domain learning. Despite a smaller dataset, the system targets high accuracy in recognition. Advanced technologies, including computer vision and deep learning, are applied to improve communication for deaf individuals by developing accessible technical applications and platforms. The proposed model, utilizing TensorFlow and OpenCV, aims to identify commonly used American Sign Language gestures in real time with accuracy and efficiency, including signs such as "hello, " "thanks, " "bye, " "yes, " "no, " "dad, " and "mom". © 2024 ieee.

关键词： Adversarial machine learning

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Optimal real-time Task Allocation in Heteregeneous Multi-Core embedded systems

Optimal Real-Time Task Allocation in Heteregeneous Multi-Cor...

引用

ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： David Doose Youcef Bouchebaba Alfonso Mascarenas Gonzalez ONERA Toulouse France

ISBN: (数字)9798350387957

ISBN: (纸本)9798350387964

In response to the increasing complexity of real-time embedded software, driven by the need for intelligent computation in constrained environments, multicore architectures have emerged as a promising solution. The challenge lies in to choose an effective mapping of the real-time tasks to the various computational resources of these embedded boards, while ensuring real-time constraint satisfaction. To address this problem, our approach rests on two pillars. The first is a domain-specific language designed to capture hardware and software characteristics, constraints, and criteria in a clear and unambiguous manner. The second is a solver method based on Satisfiability Modulo Theories solver augmented with a lazy theory to handle real-time aspects. This method allows us to synthesize mappings that respect temporal constraints and optimize specific criteria, such as the power consumption of the embedded board.

关键词： Power demand embedded systems Multicore processing Computer architecture real-time systems Hardware Resource management Optimization embedded software Domain specific languages

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Movie Recommendation System Based on Emotion Detection Using Machine Learning Techniques

Movie Recommendation System Based on Emotion Detection Using...

引用

2024 ieee international conference on Information Technology, Electronics and Intelligent Communication systems, ICITEICS 2024

作者： Vaishnavi, S.R. Sreelakshmi, S. Anu Prabha, R.S. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Applications Amritapuri India

ISBN: (数字)9798350382693

ISBN: (纸本)9798350382693

The face is a critical perspective in predicting human feelings and moods. More frequently than not human senti-ments are extricated with the utilization of the camera. Various applications are being made based on the location of human sentiments. A few applications of feeling revelation are trade notice suggestion, e-learning, mental clutter, sadness disclosure, criminal conduct discovery, etc. This paper presents a novel real-time emotion-based movie recommendation system that combines computer vision, deep learning, and image processing strategies. The system coordinating OpenCV near DeepFace for effective emotion examination utilizing webcam input, giving clients personalized movie recommendations based on their recognized enthusiastic states. The system commences by using OpenCV to capture real-time webcam feeds and utilizes a Haar-Cascade classifier for facial discovery. The recognized faces are analyzed for prevailing feelings utilizing the DeepFace library, empowering exact feeling distinguishing proof. Within the recommendation stage, the system joins content-based filtering by processing a movie dataset utilizing TF-IDF. Genres and plot keywords serve as features for building the TF-IDF matrix. Cosine similarities between the user's emotion vector and relevant movie genres are then calculated, coming about in a list of personalized movie rec-ommendations. Index Terms-FER, OpenCV, DeepFace, Haar-Cascade Algorithm, Content-Based Filtering, TF-IDF © 2024 ieee.

关键词： Emotion recognition Visualization Webcams Face recognition Motion pictures real-time systems Libraries

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Blockchain Sharding in ieee 802.11ax Networks 20

Blockchain Sharding in IEEE 802.11ax Networks

引用

20th Annual ieee international conference and Expo on real time Communications (RTC)

作者： Hegazy, Rana Moghadam, Nadieh Univ San Diego Dept Elect Engn San Diego CA 92110 USA

ISBN: (纸本)9798350387629;9798350387612

Blockchain technology has extended to secure systems and applications beyond cryptocurrency. Sharding the Blockchain technique increases the system throughput and decreases the delay while enhancing the system security. In this paper, the Medium Access Control protocol for the wirelessly connected Internet of Things devices through ieee 802.11ax is updated to include the validation process required by Ethereum sharding. The simulation results, where nodes compete to transmit their data, align with the theoretical equations presented in the paper. Lastly, the results show linear enhancement in the performance of the system as the number of shards increases.

关键词： Wireless communications Blockchain Ethereum Sharding ieee 802.11ax

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Two-Dimensional Reverse time Migration for Multi-Input Multi-Output System by Shot Correlation Method with Noise Effect

Two-Dimensional Reverse Time Migration for Multi-Input Multi...

引用

ieee international conference on Microwaves, Communications, Antennas, Biomedical Engineering and Electronic systems (COMCAS)

作者： Wang, Huan Zhang, Yuxian Tong, Mei Song Huang, Zhixiang Feng, Naixing Anhui Univ Sch Elect & Informat Engn Hefei 230601 Anhui Peoples R China Tongji Univ Coll Elect & Informat Engn Key Lab Embedded Syst & Serv Comp Minist Educ Shanghai 200092 Peoples R China

ISBN: (纸本)9798350348194;9798350348187

In this paper, we propose a shot correlation reverse time migration (SC-RTM) method for multiple-input-multiple-output (MIMO) ground penetrating radar (GPR) imaging to improve image contrast. In GPR applications, noise is unavoidable in radar echo signals and can cause artifacts in the subsurface reconstructed image. Since in general the correlation among noise signals is weaker than that in target signals, a shot correlation image operator is proposed to integrate all shot images and arrive at the final reconstructed image with artifacts suppression and resolution improvement. In numerical experiments, to test the performance of artifacts suppression, we add different noise levels in the synthetic GPR data. It is shown that the noise is effectively suppressed and the contrast between targets and artifacts is improved in reconstructed images of the SC-RTM method by more than 15 dB. The measured MIMO GPR echo signals with significant noises are successfully processed by the SC-RTM method to yield high contrast subsurface images.

关键词： ground-penetrating radar (GPR) reverse time migration (RTM) shot correlation multiple-input-multipleo-utput (MIMO)

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The Dynamic Window-Based Scheduling Framework For Complex Wireless Sensor Networks 2

The Dynamic Window-Based Scheduling Framework For Complex Wi...

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2nd ieee international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Bargavi, S. K. Manju Mahesh, T.R. Department of Computer Science and It Bangalore India Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350347456

The dynamic window-based scheduling is a popular scheduling algorithm used to manage system resources efficiently. It is used in many different types of systems including distributed systems, embedded systems, and real-time systems. This scheduling algorithm works by assigning a window of time to a process or task. The window is then moved through the system, allowing each process or task to use the resources that it needs within the window. The dynamic window-based scheduling algorithm is advantageous because it allows the system to use the resources efficiently. By assigning a window of time to each process or task, the system can ensure that each process or task has an equal amount of time to execute. This also allows the system to prioritize tasks, so that processes or tasks that have higher priority will have a larger window of time to use the resources. Another advantage of the dynamic window-based scheduling algorithm is that it can help reduce latency and improve system performance. By assigning a window of time to each process or task, the system can ensure that each task is able to execute within the window. This reduces latency and improves system performance by minimizing the amount of time that tasks are waiting for resources. Furthermore, the dynamic window-based scheduling algorithm can also help improve system scalability. © 2023 ieee.

关键词： real time systems

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