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Learning to Communicate Using Action Probabilities for Multi-Agent Cooperation

Learning to Communicate Using Action Probabilities for Multi...

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2023 IEEE International Conference on Agents, ICA 2023

作者： Bai, Yidong Sugawara, Toshiharu Waseda University Dept. Computer Science and Engineering Tokyo Japan

ISBN: (纸本)9798350312782

While communication is an essential tool for cooperation in multi-agent systems (MAS), existing approaches generally assume high-dimensional messages genereated by deep networks, which are uninterpretable for humans and require expensive transmission and complex encoding/decoding networks in agents. Uninterpretability may in turn raise reliability and security issues for the systems. To achieve low-dimensional and interpretable communication, we demonstrate that each agent's action probabilities can be used as messages, inspired by the fact that humans often share likely actions during collaboration. Our proposed method, communication based on action probabilities (CAP), is a simple yet effective communication architecture for coordination and collaboration in MAS, which facilitates our understanding of the agents' learned coordinated and cooperative behaviors. Moreover, because messages can be generated by the actor network, which is usually implemented in deep reinforcement learning agents, we can eliminate the requirement of extra message-generator networks. Our experiments show that CAP can achieve comparable performance to those of the state-of-the-art methods, with quicker convergence, simpler network structures and better interpretability. © 2023 IEEE.

关键词： Reinforcement learning

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Clustering Data Log CITA Blockchain Performance Monitoring with Mean Shift Method

Clustering Data Log CITA Blockchain Performance Monitoring w...

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2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Ubaya, Huda Stiawan, Deris Suprapto, Bhakti Yudho Perdana, Muhammad Iqbal Universitas Sriwijaya Faculty of Computer Science Dept. of Computer Engineering Palembang Indonesia Universitas Sriwijaya Faculty of Engineering Dept. of Electrical Engineering Palembang Indonesia

ISBN: (纸本)9798350307306

CITA is a high-performance enterprise blockchain system with six microservices (RPC, Auth, Consensus, Chain, Executor, and Network) that exchange information through Message Bus. There is a dataset in the form of performance logs from CITA in the format of CPU, Memory, Network, PReads, PWrite, and VMem taken in real-time using the Performance Monitoring Framework for Blockchain. This framework has the advantage of lower overhead, more details, and better scalability than other performance monitoring approaches, but there is no clustering feature in the monitoring results. Thus, it is necessary to include a clustering feature so that users know the performance directly without the need to analyze it more deeply. This research uses the Mean Shift algorithm, which does not require the number of clusters for the initial process but only determines the maximum distance of centroid displacement through calculation. The number of clusters estimated is 2 clusters, where CITA produces 7 cluster samples with cluster evaluation results with the highest average silhouette score from CITA, which is 0.555 in the Network-Received Network-Sent feature pair. So, it is known that the Mean Shift clustering algorithm produces goodness of fit results from clustering on the CITA Blockchain performance log, which means that the clusters are well separated and can be clearly distinguished. © 2023 IEEE.

关键词： Blockchain

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2D/3D Echocardiography Frame Rate Enhancement by Means of a Novel Spatio-Temporal Reconstruction Technique

2D/3D Echocardiography Frame Rate Enhancement by Means of a ...

引用

2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Afrakhteh, Sajjad Iacca, Giovanni Demi, Libertario University of Trento Dept. of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350346459

Frame rate, i.e., the number of frames displayed per second, is a crucial aspect in ultrasound imaging. Increasing the frame rate is required in echocardiography because it helps clinicians assess faster heart movements, especially in the valves. Higher frame rates are needed to capture the mechanical characteristics or transitory events of the heart, especially in 3-dimensional (3D) echocardiography. The main objective of this study is to propose a solution for increasing the frame rate of 2D/3D echocardiography. To this end, we propose a post-processing technique based on a novel 2D spatio-temporal interpolation to increase the frame rate. We utilize radial basis functions (RBF) to perform the interpolation. More precisely, we propose a novel intensity variation time surface (IVTS) approach to integrate both temporal and spatial information into the reconstruction. We apply the proposed technique to 2D and 3D echocardiography datasets at the radio frequency (RF) level of the post-processing stage for different down-sampling (DS) rates. The results demonstrate that we can increase the frame rate of 2D/3D echocardiography by a factor 4 while preserving a structural similarity (SSIM) index greater than 0.96 and 0.87, respectively for 2D and 3D imaging. © 2023 IEEE.

关键词： Interpolation

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Performance Analysis of Vision Transformer Based Architecture for Cursive Handwritten Text Recognition 26

Performance Analysis of Vision Transformer Based Architectur...

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26th International Conference on computer and Information Technology, ICCIT 2023

作者： Chowdhury, Avishek Hossen, Md. Ahasan Hasan, Mohammad Rukunuddin Osmani, Sheikh Md Premier University Dept. of Computer Science & Engineering Chattogram Bangladesh

ISBN: (纸本)9798350359015

computers have been given vision by researchers across the world for many years. Now it is the era of digitization. Recognizing handwritten text is a must for a computer vision system. Due to the variation and complexity of the cursive writing style, the holistic approach is mostly used for the recognition of cursive scripts. Though Convolutional Neural Network (CNN) based models have been employed in literature for Holistic Handwritten Text Recognition (HTR) of different domains, recent breakthroughs in the image classification Vision Transformer (ViT) based models have not been utilized for HTR so far. In this research, we have designed a ViT-based model for the HTR of various cursive scripts. To validate the performance of the model, various handwritten datasets of cursive scripts have been used. The notable finding includes that the accuracy of the designed model has increased by up to 26% after applying the image data augmentation techniques. © 2023 IEEE.

关键词： Augmentation Cursive Handwritten Text Recognition (HTR) Vision Transformer

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Optimal IPL Playing 11 Team Selection 8

Optimal IPL Playing 11 Team Selection

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8th IEEE International Conference for Convergence in Technology, I2CT 2023

作者： Ravichandran, Nilesh Nihal Chengappa, P.A. Rao Rebala, Pranav PES University Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350334012

Since the inception of the Indian Premier League (IPL), the demand for quality data analysts has increased. The task to pick an ideal playing 11 from a huge squad is a real challenge and picking the best team can greatly improve a team's chances of winning. This project aims to predict the best possible playing 11 from a given set of players taking into consideration a number of factors like runs scored, runs conceded, strike rate, dot balls bowled etc. and this is essential as it can help pick an optimal eleven. Not only are the best batsmen and bowlers predicted but also the all-rounders which give a real balance to the team. Three models have been tested- XGBoost, Linear Regression and Random Forest. Linear Regression yields better results since it gives the least RMSE value. © 2023 IEEE.

关键词： Linear regression

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A Time-varying Velocity Control Strategy for Balancing Exploration and Exploitation Behaviour of a Binary PSO

A Time-varying Velocity Control Strategy for Balancing Explo...

引用

2023 International Conference on Next-Generation Computing, IoT and Machine Learning, NCIM 2023

作者： Siddique, Md. Abu Bakkar Islam, Md. Jakirul DUET Gazipur Dept. of Computer Science and Engineering Gazipur Bangladesh

ISBN: (纸本)9798350316001

Combinatorial optimization problems (COPs) are NP-hard, and their solution space is discrete, which poses a significant challenge for optimization algorithms. Binary Particle Swarm Optimization (BPSO) is wel-known optimization technique that has been widely applied in various type of COPs. However, one of the challenges in BPSO is to balance exploration and exploitation to locate the optimal solution. This paper presents a Time-varying Velocity Control (TVC) strategy to balance exploration and exploitation in a BPSO. The TVC strategy utilizes a time-varying control parameter to adjust the velocity of the particles, allowing for more exploration in the early phases of the optimization process and more exploitation as the search progresses. The proposed strategy is evaluated on a set of benchmark combinatorial optimization problems, and the results demonstrate that it outperforms other commonly used BPSO strategies in terms of both efficiency and solution quality. Furthermore, the TVC strategy is shown to be robust to changes in the problem landscape, making it a promising approach that can be used for solving a wide range of combinatorial optimization problems. © 2023 IEEE.

关键词： Combinatorial optimization

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Efficient Support System for Hearing Disabled using CNN 5

Efficient Support System for Hearing Disabled using CNN

引用

5th IEEE International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Sharma, Mayank Goswami, Puneet Srm University Dept. Of Computer Science And Engineering Delhi India

ISBN: (纸本)9798350330861

Objective: In today's world communication plays a major role in a person's life in many ways. Communication is a process of conveying or transferring your feelings, knowledge or ideas to the rest of the world. This becomes very difficult for a person who cannot speak or listen. To overcome this problem we aim to develop a sign language system that is able to detect the hand gestures of the Deaf and Dumb from the captured images and convert them into a text format so that a person who does not have any knowledge of the sign language can understand them easily. Scope: This project aims at detecting the hand gestures performed by the deaf and dumb person and translate those signs into readable form so that the communication barrier between the physically challenged and ordinary people can be removed. Method: Deep learning and computer vision for detecting the signs of the sign language performed by the deaf and dumb people have proved to be very efficient. The dataset contains images of different signs in the Indian sign language which is used to train a neural network. Convolutional Neural Network (CNN) is used for the classification of the signs for the alphabet and numbers. Findings: This research has immense capability to detect the hand gestures performed by Deaf and Dumb people and to remove the communication gap between deaf and dumb people and the ordinary people. Therefore, our paper will provide a convenient way for ordinary people to understand and easily understand the deaf and dumb people. © 2023 IEEE.

关键词： computer vision

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Fuzzy Computing Testing and Study Hydroponic Dosing Systems for Rural Indian Subsistence Farmers Using AI and IoT 4

Fuzzy Computing Testing and Study Hydroponic Dosing Systems ...

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4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Pai, H. Aditya Jyothi, N.T. Lal Jeyan, J.V. Muruga Chandrappa Jain, Prithviraj Arvindhan, M. Lips Research and Dlcard India Lips Research Foundation India Dept. of Computer Science and Engineering Bengaluru India Deportment of Computer Science and Engineering India School of Computer Science and Engineering Galgotias University Greater Noida India

ISBN: (纸本)9798350387490

In this study, we look at how well smart hydroponics systems supported by the Internet of Things (IoT) work for small-scale farmers in India's rural areas. The framework undergoes training using Fuzzy Logic artificial intelligence. A fuzzy logic model was created as part of the research carried out in this study. The monitor is connected to the Internet of Things (IoT) collects the data., this framework accurately finds and modifies the output. These instruments are useful in observing the environment variables of the hydroponic setup as well as keeping the fertilizer solution in check. An initial test carried out shows that the real time data generated and collected for testing made up the model evaluation. These are the phases that are undertaken to ensure that the accurate determination of the values are noted for the purpose of changing the environment variables of the hydroponic setup. The study findings describe how the system successfully determines the correct values that are required for the microcontroller., thus confirming that efficacy of Fuzzy Computing and AI used in the hydroponics setup. Here., the emphasis is given to provide accuracy towards the Fuzzy Computing and AI for rural subsistence farmers., especially in the lower to middle income nations. The research also mentions about importance of integrating solar power-enabled system with nearby available Wi-Fi networks., in contrast with the cloud-based IoT platforms so as to optimize the use of Fuzzy Computing - AI in the hydroponics system within the particular environments. © 2024 IEEE.

关键词： Hydroponics

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Automatic Music Generation of Indian Classical Music based on Raga 8

Automatic Music Generation of Indian Classical Music based o...

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8th IEEE International Conference for Convergence in Technology, I2CT 2023

作者： Adhikary, Sneha Manasa, S.M. Shreesha, S.K. Bhat, Shreya Kamatchi Priya, L. PES University Dept. of Computer Science Engineering Bangalore India

ISBN: (纸本)9798350334012

The use of machine learning algorithms for the generation of new music has garnered increasing interest in recent years. With the aim of creating music that does not currently exist in the market, various machine learning techniques are being employed, including LSTM, RBM, GCA, FSM, and GAN. This research paper focuses specifically on the application of Wasserstein Generative Adversarial Networks (WGANs) for the generation of Indian classical music based on raga. The study uses MIDI piano music as input and trains the WGAN on a dataset of Indian classical music recordings. The results of the study indicate that the WGAN is capable of producing new music that is stylistically and acoustically similar to the Indian classical music present in the training dataset. Additionally, the generated music was found to be comparable to human-generated music. This study highlights the potential success of utilizing WGANs for creating music in the Indian classical genre, based on raga. © 2023 IEEE.

关键词： Music

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A Code-Based Multiple Watermarking Scheme for the Preservation of Authenticity of Forensic Images 14

A Code-Based Multiple Watermarking Scheme for the Preservati...

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

作者： Chroni, Maria Nikolopoulos, Stavros D. Polenakis, Iosif Vouronikos, Vasileios University of Ioannina Dept. of Computer Science & Engineering Ioannina Greece

ISBN: (纸本)9798350318067

In this work we present watermarking technique for the preservation of authenticity property of forensic images. The proposed technique has its basis on the utilization of watermarks by the embedding of Self-Inverting Permutations by their 2D representation in the frequency domain of forensic images. We propose the embedding of multiple integers through a code-sequence structure, where the robustness and the imperceptibility of the proposed technique has been attested and particular settings on their application e.g. the lower their imperceptibility the higher the fragility of a watermark is, cooperate on the development of the watermarking technique that can be utilized for the originality of the image. The effectiveness of proposed technique is validated throughout an experimental evaluation deploying various attacks, while the achieved results prove the potentials of the proposed model in the preservation of forensic Image authenticity. © 2023 IEEE.

关键词： Embeddings

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