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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1140 条记录，以下是841-850 订阅

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IRS-assisted MISO system energy-saving communication scheme under security constraints

IRS-assisted MISO system energy-saving communication scheme ...

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IEEE Information Technology and Mechatronics engineering conference (ITOEC)

作者： Xin Zhang Xiangdong Jia Gongziyu Chen Xiayang Niu College of Computer Science and Engineering Northwest Normal University Lanzhou China Wireless Communication Key Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing China

Aiming at the high security and high energy consumption risks of downlink multiple input single output (MISO) systems assisted by intelligent reflecting surface (IRS), the transmission beamforming of the base station(BS), and the phase shift matrix of IRS are jointly considered for the transmission of the system. A system transmission power minimization problem under the constraint of a legal user secrecy rate was constructed. then a second-order cone programming algorithm based on successive convex approximation(SCA) is proposed to solve the problem. the proposed algorithm simultaneously updates all optimization variables in each iteration and obtains a suboptimal solution to the original problem. the simulation results show that compared with the proposed baseline scheme, the algorithm in this paper achieves lower transmit power while ensuring the confidentiality quality of legitimate users.

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Cross-Lingual Reverse Dictionary Using Multilingual mBart and mT5 Models 7th

Cross-Lingual Reverse Dictionary Using Multilingual mBART an...

引用

7th international conference on Intelligent Technologies, ICIT 2022

作者： Mangal, Akshat Rathore, Santosh Singh Arya, K.V. Department of Computer Science and Engineering ABV-IIITM Gwalior Gwalior India

ISBN: (纸本)9789819919116

the task of a cross-lingual reverse dictionary can be considered a combination of conventional text summarization and language translation. the description needs to be summarized into target words and further translated into different languages. the problem is considered complex because it requires identifying the correct target word from colloquial descriptions. the description of the target word ranges from a dictionary definition to a conversational description. A regular dictionary maps words to their respective definitions, whereas reverse dictionaries attempt to map the descriptions to words. In this work, different models, named auto encoder-decoder and sequence-to-sequence models based on Translation Language Modeling (TLM) are explored for solving the limitations of current models, and presents two state-of-the-art cross-lingual reverse dictionary models using multilingual Bart and T5 transformers. the experiment is performed on the trilingual dataset Wikt3l, and the performance of the proposed models are evaluated in terms of Accuracy @1, Accuracy @10, and Mean Reciprocal Rank is used as the performance measures. the results showed that the proposed models achieved higher accuracy as compared to the existing Masked Language Modeling (MLM) based models. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Modeling languages

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Enabling Performance as a Service for a Cloud Storage System

Enabling Performance as a Service for a Cloud Storage System

引用

IEEE international conference on Cloud Computing, CLOUD

作者： Yang Li Li Guo Akara Supratak Yike Guo Department of Computing Imperial College London London United Kingdom School of Computing Engineering and Physical Science University of Central Lancashire Preston United Kingdom

One of the main contributions of the paper is that we introduce "performance as a service" as a key component for future cloud storage environments. this is achieved through demonstration of the design and implementation of a multi-tier cloud storage system (CACSS), and the illustration of a linear programming model that helps to predict future data access patterns for efficient data caching management. the proposed caching algorithm aims to leverage the cloud economy by incorporating both potential performance improvement and revenue-gain into the storage systems.

关键词： Cloud computing Data models Servers File systems Aerospace electronics Algorithm design and analysis Databases

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Review of Reinforcement Learning in Chrome Dino Game

Review of Reinforcement Learning in Chrome Dino Game

引用

international conference on Computing Communication Control and Automation (ICCUBEA)

作者： Advait Kulkarni Pranav Bapat Tanvi Kulkarni Rajendra Pawar School of Computer Engineering & Technology MIT World Peace University Pune Maharashtra Department of Computer Science Engineering MIT School of Computing MIT Art Design & Technology University Pune India

the intention of this study is to study some implementation of reinforcement learning in the environment of Google Chrome's Dino Game. Different environments were tested on Deep Q network and proximal policy optimization models. Images were provided as inputs in all trials and the highest scores were recorded and analysed to check which algorithm and environment performed better. Further work aims at including more environments and algorithms and performing training on High performance Computers.

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Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans 7th

Unsupervised Image to Image Translation for Multiple Retinal...

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7th international conference on Computer Vision and Image Processing, CVIP 2022

作者： Pasupuleti, Hemanth Kothari, Abhishek R. Girish, G.N. Computer Science and Engineering Group Indian Institute of Information Technology Sri City India Pink City Eye and Retina Center Jaipur India

ISBN: (纸本)9783031314162

Image to Image Translation (I2I) is a challenging computer vision problem used in numerous domains for multiple tasks. Recently, ophthalmology became one of the major fields where the application of I2I is increasing rapidly. One such application is the generation of synthetic retinal optical coherence tomographic (OCT) scans. Existing I2I methods require training of multiple models to translate images from normal scans to a specific pathology: limiting the use of these models due to their complexity. To address this issue, we propose an unsupervised multi-domain I2I network with pre-trained style encoder that translates retinal OCT images in one domain to multiple domains. We assume that the image splits into domain-invariant content and domain-specific style codes, and pre-train these style codes. the performed experiments show that the proposed model outperforms state-of-the-art models like MUNIT and CycleGAN by synthesizing diverse pathological scans with lower FID scores (108.30-Kermany dataset;60-TaeKeun datset) and higher LPIPS scores (0.146-Kermany dataset;0.171-TaeKeun dataset). © the Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Generative adversarial networks

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GPGPU vs multiprocessor SPSO implementations to solve electromagnetic optimization problems

GPGPU vs multiprocessor SPSO implementations to solve electr...

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international Joint conference on Computational Intelligence (IJCCI)

作者： Anton Duca Laurentiu Duca Gabriela Ciuprina Daniel Ioan Politehnica University of Bucharest Faculty of Electrical Engineering Bucharest Romania Faculty of Computer Science Politehnica University of Bucharest Bucharest Romania

ISBN: (纸本)9781509019687

this paper studies two parallelization techniques for the implementation of a SPSO algorithm applied to optimize electromagnetic field devices, GPGPU and Pthreads for multiprocessor architectures. the GPGPU and Pthreads implementations are compared in terms of solution quality and speed up. the electromagnetic optimization problems chosen for testing the efficiency of the parallelization techniques are the TEAM22 benchmark problem and Loney's solenoid problem. As we will show, there is no single best parallel implementation strategy since the performances depend on the optimization function.

关键词： Graphics processing units Optimization Linear programming Synchronization Kernel Electromagnetics Instruction sets

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Ant Colony Algorithm Research Based on Pheromone Update Strategy

Ant Colony Algorithm Research Based on Pheromone Update Stra...

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international conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Yahong Zhai Longyan Xu Yanxia Yang School of Electrical and Information Engineering Hubei University of Automotive Technology Shiyan China Fac. of Inf. Eng. Wuhan University of Science and Technology Wuhan Hubei CN

ISBN: (纸本)9781479986477

A new pheromone control strategy based on knowledge guide is presented. the main idea is to use the prior knowledge and group knowledge from statistical learning to guide the ant search. It has more targeted for ants search which combined with new pheromone updating strategy, thus contributing to a better solution for the algorithm. the experimental results indicate that the overall performance of the ant colony algorithm based on knowledge guiding pheromone control strategy is obviously better than other ant colony optimization algorithm.

关键词： Algorithm design and analysis Ant colony optimization Search problems Linear programming Convergence Optimized production technology Knowledge engineering

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A Compact-Structured Convolutional Neural Network for Single Image Denoising and Super-Resolution 7th

A Compact-Structured Convolutional Neural Network for Single...

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7th international conference on Computer Vision and Image Processing, CVIP 2022

作者： Deivalakshmi, S. Sandana, J. Sudaroli Department of Electronics and Communication Engineering National Institute of Technology Tiruchirappalli India

ISBN: (纸本)9783031314063

In this work, a simple and compact-structured convolutional neural network (CNN) entitled as Denoising and Super-Resolution (DnSR) network for single image denoising and super resolution (SISR) is presented. Using sparsity property (a smaller number of large intensity values and a larger number of small intensity values), the training of DnSR is made to converge early. We obtain the sparsity by learning residuals of image pixels instead of learning raw image pixels particularly for SR. We use a smaller receptive field of the image patch for faster training. We use gradient clipping to train DnSR net with an extremely large learning rate to overcome gradient inconsistency during training. An end-to-end mapping is done by learning the complex mapping between low-resolution (LR) image patches and the corresponding residual of high resolution (AHR) image patches using DnSR net. the proposed DnSR net uses a smaller number of parameters (approximately 3 times lesser) than the existing state-of-the-art (SOTA) SRCNN method. the proposed DnSR provides superior reconstruction accuracy with less artifacts when compared to other SOTA methods. the performance of the DnSR is assessed qualitatively and quantitatively using different image quality metrics. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Mapping

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Computer Safety, Reliability, and Security 1

引用

丛书名： Lecture Notes in Computer science

1000年

作者： Janusz Górski

ISBN: (数字)9783540457633

ISBN: (纸本)9783540457626

Welcome to SAFECOMP 2006, the 25th international conference on Computer Safety, Security and Reliability, held in Gdansk,Poland. Since it was established in 1979 by the European Workshop on Industrial Computer Systems, Technical Committee 7 on Safety, Reliability and Security (EWICS TC7), SAFECOMP has continuously contributed to the progress in high integrity applications of information technologies. the conference focuses on the state of the art, expe- ence and new trends in the areas of safety, security and reliability of critical IT systems and applications and serves as a platform for knowledge and technology transfer for researchers, industry (suppliers, operators, users), regulators and certi?ers of such systems. SAFECOMP provides ample opportunity to exchange insights and experiences on emerging methods, approaches and practical so- tions to safety, security and reliability problems across the borders of di?erent application domains and technologies. the SAFECOMP 2006 program re?ected in this book included 32 papers selected from 101 submissions of full texts. the submissions came from authors representing 26 di?erent countries from Europe, Asia, and North and South America. the 32 accepted papers were prepared by experts representing 14 d- ferent countries. the above data con?rm the broad and increasing interest in SAFECOMP and the topics addressed. the program was supplemented by three keynote presentations by outsta- ing invited experts (not included in this book). the keynotes focused on - terdisciplinary aspects of dependability of computer systems, practical aspects of application of safety standards and new challenges of information security research and development.

关键词： Software engineering/programming and Operating Systems Coding and Information theory Special Purpose and Application-Based Systems Logics and Meanings of Programs Management of Computing and Information Systems

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Human Disease Prediction based on Symptoms

Human Disease Prediction based on Symptoms

引用

international conference on Computing Methodologies and Communication (ICCMC)

作者： Uday Kiran Kommineni Dhatri Phani Priya Kowthavarapu Guna Sri Manjunadh Polukonda Kalyan Chakravarti Yelavarti Dept. of Information Technology Velagap udi Ramakrishna Siddhartha Engineering College Vijayawada India

there are new diseases discovered in the 21st century which have identical and additional symptoms to the previous diseases but these new diseases are far more dangerous than the previous ones and have some additional symptoms. So, In this work the new diseases can be identified by taking the input from the user and identifying the disease and displaying it on the users smart screen display. this work aim is to reduce the deaths of people by identifying the disease and cure it in advance. the Random Forest and Naive Bayes algorithms are used for predicting the disease. this prediction is done by considering and comparing the accuracies of both the algorithms and gives the predicted disease as output which has best accuracy. Its implementation is completed via python programming language and tkinter library.

关键词： Machine learning algorithms Forestry Prediction algorithms Libraries Naive Bayes methods Random forests Diseases

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