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检索条件"任意字段=11th International Conference on Distributed Computing and Networking"

共 2755 条记录，以下是31-40 订阅

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Using Comments for Predicting the Affective Response to Social Media Posts 11

Using Comments for Predicting the Affective Response to Soci...

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11th international conference on Affective computing and Intelligent Interaction (ACIIW)

作者： Wang, Yi-Chia Dwivedi-Yu, Jane Kraut, Robert E. Halevy, Alon Meta AI Menlo Pk CA 94025 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9798350327434

What people see on social media influences their affective state. Predictions of the affective reaction of an audience to a post could help posters creating content and viewers searching for it. this paper examines the value of both real comments and artificially generated ones in predicting the affective responses of an audience. We built an affect prediction model based on Facebook anonymized public posts to predict affective responses (anger, amusement, and sadness affect) as indicated by three Facebook reaction clicks (Angry, Haha, and Sad). Using the content of the original post can predict reactions well (.71 to.87 F1-scores). Adding the text of real post comments improves F1-score by up to 11%. Surprisingly, generated comments improve predictions as much as real comments. these artificial comments were produced using a pre-trained sequence-to-sequence, BART natural language generation model given a post as input. Using artificial comments means that one can predict affect reactions early in the history of a discussion, before anyone has actually commented on a post.

关键词： affective computing sentiment analysis emotion classification social networking sites computer-mediated communication natural language generation sequence-to-sequence learning BART

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Enhanced Vertical Pod Autoscaling with DecisionTreeRegressor-Max in Kubernetes 11

Enhanced Vertical Pod Autoscaling with DecisionTreeRegressor...

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11th international conference on Wireless Networks and Mobile Communications (WINCOM) - Inclusive and Intelligent Connectivity

作者： Bouflous, Zakariyae Haraka, Fadoua Ouzzif, Mohammed Bouragba, Khalid Hasssan 2 Univ Casablanca UH2C ENSEM Casablanca Morocco Hasssan 2 Univ Casablanca UH2C EST Casablanca Morocco

ISBN: (纸本)9798350377873;9798350377866

Modern containerized applications deployed on Kubernetes demand efficient resource scaling to adapt to varying workloads. Auto-scaling reduces cloud infrastructure costs, increases application stability and improves the Quality of Service from user perspective. this paper introduces an innovative approach for Kubernetes vertical pod autoscaling. the proposed model DTR-Max takes in consideration maximum resources limit of pods allocation using predictive Decision Tree Regression (DTR) policy. the system leverages predictive resource management, enabling proactive adjustments to pod resource requests based on historical utilization patterns and pods resources limit range. In experimental simulations, the system effectively manages resource scaling decisions and demonstrates its potential to adapt Kubernetes pods to dynamic workloads efficiently.

关键词： Cloud computing vertical auto-scaling container Kubernetes predictive resource management

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Design of a Scaled-Vehicle Research Platform for Software-Defined Vehicles 11

Design of a Scaled-Vehicle Research Platform for Software-De...

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11th international conference on Mechatronics and Robotics Engineering, ICMRE 2025

作者： Oh, Sung Bhin Do, Young Soo Lim, Se Jeong Choi, Hyeok Jun Cha, Sung Keun Hong, Hyeong Keun Lim, Seong Hyeon Jeon, Jae Wook Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798331509293

Modern vehicles are integrated systems of complex software that support advanced features such as autonomous driving and over-the-air updates. Software-defined vehicles (SDVs) are emerging as a future automotive paradigm for managing increasing software complexity by centralizing computing resources and enabling flexible software updates and feature deployment. However, most SDV research is conducted in simulation environments because using real vehicles presents many challenges, including high cost, safety concerns, and implementation difficulties. In this paper, we present the design of an SDV research platform using a 1/5-scale vehicle model to overcome these limitations of SDV research. the platform implements a zone architecture and integrates various embedded systems to replicate the distributed computing environment of a modern vehicle. the platform allows researchers to experiment with different SDV concepts such as distributed computing, OTA updates, middleware, and vehicle software management without the constraints of full-scale vehicle testing. Our design demonstrates the feasibility of using extended vehicles for SDV research and provides insights into platform design for SDV research. © 2025 IEEE.

关键词： distributed cloud

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Proceedings of ScalA 2020: 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Held in conjunction with SC 2020: the international conference for High Performance computing, networking, Storage and Analysis

Proceedings of ScalA 2020: 11th Workshop on Latest Advances ...

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11th IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, ScalA 2020

ISBN: (纸本)9781665422703

the proceedings contain 10 papers. the topics discussed include: replacing pivoting in distributed Gaussian elimination with randomized techniques;implementation and numerical techniques for one EFlop/s HPL-AI benchmark on Fugaku;performance analysis of a quantum Monte Carlo application on multiple hardware architectures using the HPX runtime;an integer arithmetic-based sparse linear solver using a GMRES method and iterative refinement;two-stage asynchronous iterative solvers for multi-GPU clusters;basic linear algebra operations on TensorCore GPU;a survey of singular value decomposition methods for distributed tall/skinny data;and a fast scalable iterative implicit solver with green’s function-based neural networks.

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computing Graph Fourier Transform Centrality with Graph Filter Designed by Hermite Polynomial 11

Computing Graph Fourier Transform Centrality with Graph Filt...

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11th IEEE international conference on Consumer Electronics - Taiwan (ICCE-Taiwan) - Empower of Innovative Consumer Technology

作者： Tseng, Chien-Cheng Lee, Su-Ling Natl Kaohsiung Univ Sci & Technol Dept Comp & Commun Engn Kaohsiung Taiwan Chang Jung Christian Univ Dept Comp Sci & Informat Engn Tainan Taiwan

ISBN: (纸本)9798350386851;9798350386844

In this paper, we introduce the Hermite polynomial as a tool for computing graph Fourier transform centrality (GFTC), facilitating the identification of crucial nodes within a network. First, we begin by providing the definition of GFTC and delve into the computation process using conventional eigen-decomposition method. Second, recognizing the computational complexity inherent in eigen-decomposition, the paper explores the application of a graph filter method. this method transforms the spectral-domain task into a more manageable vertex-domain task. third, to achieve an optimal spectral response, the Hermite polynomial is employed in designing the graph filter. this ensures that the desired spectral characteristics are met. the closed-form solution for filter coefficients is then derived by leveraging the orthogonal relation of the Hermite polynomial. Fourth, an implementation structure is derived by using the recursion relation of Hermite polynomial. this structure facilitates the distributed computation of GFTC. Finally, the proposed method's efficacy is exemplified through its application to identify important stations within the Taipei metro network. this practical demonstration serves to underscore the utility and effectiveness of the presented method.

关键词： graph Fourier transform Hermite polynomial node centrality metro network graph filter

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Enhancing Named Entity Recognition in Low-Resource Languages: the Crucial Role of Data Sampling in Malayalam 18

Enhancing Named Entity Recognition in Low-Resource Languages...

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18th INDIAcom;11th international conference on computing for Sustainable Global Development, INDIACom 2024

作者： Gopalakrishnan, Athira Soman, K.P. Amrita School of Engineering Dept. Computational Engineering and Networking Tamil Nadu Coimbatore India

ISBN: (纸本)9789380544519

this paper focuses on dataset class imbalances to address Named Entity Recognition (NER) difficulties in low-resource languages like Malayalam. the main goal is to draw attention to how important data sampling is for improving NER performance. through an exploration of various algorithms, particularly advanced models, our research demonstrates that data sampling significantly improves model precision and recall by harmonizing class distribution. Skewed datasets in low-resource languages make entity recognition less accurate, mostly because of the overrepresentation of the 'O' class. the work highlights how data sampling helps to progress NLP research and applications in low-resource linguistic situations and promotes successful transfer learning. the results highlight how crucial it is to correct dataset imbalances to create NER systems that are more reliable and accurate. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Deep Learning Machine Learning Named Entity Recognition Sampling Transformer Learning

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Comparison of distributed Key and Access Management for Wireless Ad Hoc Network 18

Comparison of Distributed Key and Access Management for Wire...

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18th INDIAcom;11th international conference on computing for Sustainable Global Development, INDIACom 2024

作者： Nandhini Devi, S. Sathiya Lakshmi, E. Shiny, A. Nithya, M. Sri Sairam Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9789380544519

A remote organization comprises of the many organization geographies that are broadly circulated, associated by moving hubs alluded to as portable hubs. Transfer innovation is utilized to upgrade parcel conveyance and work on the exhibition of remote organizations, tantamount to overall similarity for microwave access and LTE-A. Verification is crucial in an extremely remote geography because of thousands of clients speaking with each other with no recognizable proof. A public-key cryptanalytic rule that works with the distributed key exchange algorithm is used for these authentications. the strategy for the Disseminated key trade calculation is that 2 clients solidly trade keys that they in the long run use to encode a message. the goal of our research is to reduce the amount of work in the relay network and increase performance in a way that is comparable to the quality factor. these parts. contemplate making a dependable way to decrease idleness and increment data rates, lastly, information move is one of the critical difficulties in remote systems administration, then, at that point, we will generally consider a jump by-bounce plot. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Comparison Data Transmission Delay Performance Wireless Ad-Hoc Networks

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2024 11th international conference on Software Defined Systems, SDS 2024

2024 11th International Conference on Software Defined Syste...

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11th IEEE international conference on Software Defined Systems, SDS 2024

ISBN: (纸本)9798331518325

the proceedings contain 27 papers. the topics discussed include: architecting a SDS for microservices-based distributed edge computing systems;holon programming model: a software-defined approach for system of systems;towards a metamorphic testing architecture for software-defined drone systems;mitigating security vulnerabilities in offline USSD payments in non-smartphones;towards a resilient multi-agent controller: securing and mitigating overhead in tactical SDN;resilient software defined satellite networks: combining clustering techniques with efficient routing protocols;toward automating Cooja experiment workflows for dataset generation;and software-defined support for the execution of task-graph-based applications on cloud environments.

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Multi-Objective Optimization of Controller Placement in distributed ONOS Networks 11

Multi-Objective Optimization of Controller Placement in Dist...

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11th international Symposium on computing and networking, CANDAR 2023

作者： Xingyuan, Kang Takahashi, Keichi Nakasan, Chawanat Ichikawa, Kohei Iida, Hajimu Nara Institute of Science and Technology Ikoma Japan Tohoku University Sendai Japan Kasetsart University Bangkok Thailand

ISBN: (纸本)9798350306705

In distributed Software Defined networking (SDN), multiple controllers need to maintain a consistent view of the network state among the controllers using consensus algorithms, which introduces additional communication overhead and network latency, especially in large-scale networks. therefore, it is difficult to optimize the placement of controllers considering not only the delay between switches and controllers, but also the delay of consensus algorithms. this research utilizes Open Network Operating System (ONOS) as a platform for building distributed SDN, which employs an Atomix cluster to store and share the network state views across multiple controllers using a consensus algorithm. therefore, the optimal placement problem in ONOS involves both the placement of ONOS controllers and the placement of Atomix nodes, which makes the problem more complex. In this research, we develop a practical model to estimate the Flow Setup Time (FST) as a measure of ONOS controller response time, and propose a method to determine the optimal placements of controllers and Atomix nodes by a multi-objective optimization. Moreover, we apply our method to several real-world networks on the Internet and visualize the experimental results. Based on the observed variations in FST across different network topologies, we provide a suggestion to improve ONOS performance. © 2023 IEEE.

关键词： Controllers

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Semantic Search of Japanese Sentences Using distributed Representations 11

Semantic Search of Japanese Sentences Using Distributed Repr...

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11th international Symposium on computing and networking Workshops, CANDARW 2023

作者： Tsumuraya, Kenshin Uehara, Minoru Adachi, Yoshihiro Toyo University Grad. Sch. of Inf. Sci. and Arts Kawagoe Japan Toyo University Riit Kawagoe Japan

ISBN: (纸本)9798350306941

With the progress of digital transformation in society, an increasing number of documents are now stored as digital data. therefore, the development of more intelligent and flexible search techniques than lexical search for digital documents is desirable. Recently, research on semantic search methods for sentences using distributed representations (also called embeddings) generated by machine learning models has become active. In this paper, we report the research results of Japanese sentence search based on semantic similarity. the semantic similarity of sentences is evaluated using the cosine similarity of distributed representations of the sentences generated by Japanese Sentence-BERT. the search method calculates the similarity between each sentence in the set of search target sentences and a query sentence and returns sentences with high similarity among the search target sentences as search results. A major feature of this study is that we clearly formulate a method for processing queries that contain logical operators {AND, OR, NOT} for semantic search, with reference to fuzzy logic. the processing of queries that contain logical operators is essential for enabling users to write queries easily and perform highly accurate semantic search with them. We performed semantic search on a Japanese corpus using queries that included logical operators, evaluated its accuracy, and verified that the logical operations functioned well. © 2023 IEEE.

关键词： Fuzzy logic

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