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检索条件"任意字段=10th International Conference on Distributed Computing and Networking"

共 2916 条记录，以下是1-10 订阅

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Proceedings - 2020 IEEE international Symposium on Parallel and distributed Processing with Applications, 2020 IEEE international conference on Big Data and Cloud computing, 2020 IEEE international Symposium on Social computing and networking and 2020 IEEE international conference on Sustainable computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

Proceedings - 2020 IEEE International Symposium on Parallel ...

引用

18th IEEE international Symposium on Parallel and distributed Processing with Applications, 10th IEEE international conference on Big Data and Cloud computing, 13th IEEE international Symposium on Social computing and networking and 10th IEEE international conference on Sustainable computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

ISBN: (纸本)9781665414852

the proceedings contain 202 papers. the topics discussed include: multi-relational graph convolutional networks for skeleton-based action recognition;identifying the right person in social networks with double metaphone codes;a novel strong cache consistency mechanism in ICN based on role division and lease model;demystifying the largest live game streaming platform via black-box measurement;framework-agnostic optimization of repeated skewed joins at massive scale;remote procedure call optimization of big data systems based on data awareness;MCSEC: secure coded matrix multiplication scheme for edge computing with minimum communication cost;low-rate DoS attack detection based on WPD-EE algorithm;user identity linkage across location-based social networks with spatio-temporal check-in patterns;optimizing 3-D placement of multiple UAVs based on Taguchiâ€™s method;and feature envy detection based on Bi-LSTM with self-attention mechanism.

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Methods of Improving Saliency in FSCW Synchronous Reluctance Machines 10

Methods of Improving Saliency in FSCW Synchronous Reluctance...

引用

10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Jadhav, Mitesh Gopinath, Kishorelal Saxena, Anchal Varroc Engn Ltd Advance Engn Dept Pune Maharashtra India

ISBN: (纸本)9798350385939;9798350385922

In Synchronous Reluctance Machines (SynRM), achieving a higher saliency ratio and lower torque ripple is important. While Fractional Slot Concentrated Winding (FSCW) machines have better efficiency because of shorter winding overhang, their saliency is significantly reduced due to the presence of undesirable magnetomotive force (MMF) space harmonics. distributed windings (DW), on the other hand, have lesser torque ripple and higher saliency, but they suffer from lower efficiency because of their higher winding overhang. this paper presents methods of improving saliency by modifying the winding layout of FSCW which helps to reduce or eliminate certain undesired MMF harmonics, while achieving shorter overhang than distributed winding. In addition to saliency, various performance metrics including voltage distortion, efficiency, power factor, and torque ripple have been examined and compared with those of FSCW and distributed winding configurations.

关键词： Fractional slot concentrated winding distributed winding Synchronous reluctance Machine Magnetomotive force harmonics

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Automation and DevSecOps: Streamlining Security Measures in Financial System 10

Automation and DevSecOps: Streamlining Security Measures in ...

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10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Kushwaha, Mohit Kumar David, Priyanshi Suseela, G. SRM Inst Sci & Technol Dept Networking & Commun Chennai Tamil Nadu India

ISBN: (纸本)9798350385939;9798350385922

DevOps is a practice that integrates and automates the work of software development and IT Operations. DevSecOps emphasizes automating security within CI-CD pipelines to streamline the swift deployment of developmental changes and counter the threats and vulnerabilities that arise in a financial web application. this study utilizes comprehensive threat modeling to identify potential vulnerabilities early in development, allowing timely remediation. It explores integrating SAST and DAST tools like Codacy, OWASP ZAP, and Github Advanced Security Scanning into an Azure DevOps pipeline to enhance the security of financial web applications.

关键词： DevSecOps Automation Financial Application Azure DevOps Security Github Advanced Security

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Sizing of DGs for minimization of power losses in distribution system using Particle Swarm Optimization 10

Sizing of DGs for minimization of power losses in distributi...

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10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Kumar, K. Vamshi Merugu, Bhanu Devalapalli, Sai Simha Mekala, Madhushalini Lakavath, Jeswitha Shivani VNR Vignana Jyothi Inst Engn & Technol Elect & Elect Engn Hyderabad Telangana India

ISBN: (纸本)9798350385939;9798350385922

With the increasing penetration of renewable sources, distributed Energy Resources (DER) are emerging as a crucial components of modern power systems. In a distribution system integrated with distributed Generation Systems (DG's), efficient power management is crucial to minimize energy losses and maximize effective utilization of electrical energy. the power losses in distribution system have been on higher side due to low X/R ratio and high AT&C losses. this paper presents the minimization of power losses in a radial distribution system integrated with DG's. the load flow analysis is carried out using Forward-Backward Sweep (FBS) method. the optimal power levels of DG's for power loss reduction are obtained by using Particle Swarm Optimization (PSO) algorithm. the proposed method is efficient on a standard IEEE 15 bus radial distribution system.

关键词： distributed Generation (DG) Forward Backward sweep Particle Swarm Optimization Fitness value Power Loss analysis Matlab

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Warehouse Inventory Management: Drone-Powered Semi-Automation with Raspberry Pi and Network Integration 10

Warehouse Inventory Management: Drone-Powered Semi-Automatio...

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10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Pawale, Satyam Kunder, Harish Prajwal, P. Shriprasad, D. J. Vinay, S. Alvas Inst Engn & Technol Dept Artificial Intelligence & Machine Learning Mangalore India Alvas Inst Engn & Technol Dept Civil Engn Mangalore India Alvas Inst Engn & Technol Geoinformat Res Lab Mangalore India Alvas Educ Fdn Alva Res Ctr Mangalore India

ISBN: (纸本)9798350385939;9798350385922

Economic growth and the rapid expansion of e-commerce globally are driving the increasing demand for smart warehouses with advanced inventory management systems. the integration of IoT with aerial drone-based inventory mapping has recently emerged as a pivotal development, offering safer and faster access to inventory across various warehouse scales. this study introduces a semi-automated inventory management methodology within warehouse settings, leveraging the synergy of Raspberry Pi, Pixhawk flight controllers, and an array of sensors. the proposed system captures and transmits real-time data using AI and networking technologies, empowering with SOM, warehouse managers to optimize inventory tracking and storage conditions. By recognizing the essential role of human engagement, this study bridges the gap between cutting-edge technology and human expertise, fostering a collaborative and efficient warehouse environment.

关键词： Drone Pixhawk Artificial Intelligence Inventory Mapping networking

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Enhancing Network Resilience for Flood Response and Rehabilitation Using SDN 10

Enhancing Network Resilience for Flood Response and Rehabili...

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10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Veliyath, Alan Joji Abraham, Ashish Binoy Abraham, Adarsh Liju Poddar, Aditya Giri, Animesh PES Univ Bangalore Comp Sci & Engn Dept Bangalore India

ISBN: (纸本)9798350385939;9798350385922

Among the most costly and deadly natural calamities are floods. Of all the facilities, electricity and communication networks are the most vulnerable to flooding and are affected first. Floods pose a serious threat to the physical infrastructure of communication and electrical networks, which is essential for reaction and recovery operations. this research uses Software-Defined networking (SDN), machine learning, and image processing to present a novel method for flood-based natural catastrophe prediction, response, and rehabilitation. the study investigates the use of unsupervised KMeans clustering to distribute nodes optimally across satellite pictures and the application of the supervised CatBoost algorithm combined with log transformation to predict areas impacted by flooding. the SDN controller considered in the simulation is the Open Network Operating System with inherent self-healing, next-generation device support, and high performance. the virtual network setup for hosts, switches, and links on ONOS is established using Mininet. the entire SDN setup is deployed using a Docker container to ensure scalability. the simulation shows how a strong mesh network set up with SDN may self-heal and improve network performance.

关键词： SDN (Software-Defined networking) Machine Learning Catboost Image Processing KMeans Disaster Prediction Flood Disaster Response

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Toward a distributed and Autonomous DTN Security Environment 10

Toward a Distributed and Autonomous DTN Security Environment

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10th international conference on Space Mission Challenges for Information Technology

作者： Sipos, Brian J. Johns Hopkins Univ Appl Phys Lab JHU APL 11100 Johns Hopkins Rd Laurel MD 20723 USA

ISBN: (纸本)9798350384529;9798350384512

this document surveys existing terrestrial network security practices, focusing on public key infrastructure with X.509 (PKIX), and identifies ways that the existing systems and protocols can be used in a delay-tolerant networking (DTN) environment. Additional discussion of protocols currently under development shows how PKIX security can be used directly and efficiently within a DTN. these are combined into one possible vision for distributed and autonomous security within the existing LunaNet architecture.

关键词： DTN BPv7 PKIX ACME COSE EDHOC MLS LunaNet LCRNS Moonlight

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Multi Criteria Based Container Management in a Geo-distributed Cluster 10

Multi Criteria Based Container Management in a Geo-Distribut...

引用

10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Kumar, Naveen M. R. Annappa, B. Teja, Vishnu M. NITK Dept CS&E Mangalore India NIT Dept EC&E Tadepalligudem Andhra Pradesh India

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939;9798350385922

According to Gartner, 95% of workloads will shift to containers by 2025 due to its lightweight feature. Docker is a commonly used container software for binding applications;the container orchestration system Kubernetes (K8s) manages resources seamlessly across Cloud, Fog, and Edge environments through containers. However, Nodes in the cluster introduces the risk of exceeding node capacity thresholds, leading to failures and potential application loss which degrades the Quality of Service (QoS). In this regard, Multi-Criteria Decision Making (MCDM) strategy for ranking the nodes in the cluster is proposed to achieve the migration decision in the Geo-distributed cluster for both stateful and stateless application servers using K8s. the proposed strategy has achieved a 15.94sec Average service restore time for the Nginx server and 48.99sec for the Zookeeper server. A proactive Deep Learning model BI-LSTM is proposed for resource utilization prediction of the cluster and achieved MAE of 0.01928 and 0.0206 for CPU and Memory utilization.

关键词： Kubernetes Electre III TOPSIS VIKOR Check-pointing Pod/Container Migration Deep Learning BI-LSTM Resource prediction Geo-distributed Cluster

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Autoencoder-Assisted Feature-Type distributed Clustering for Clinical and Biomedical Data Analysis 10

Autoencoder-Assisted Feature-Type Distributed Clustering for...

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10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： thomas, Lenat Nair, Madhu S. Bej, Saptarshi Cochin Univ Sci & Technol Dept Comp Sci Artificial Intelligence & Comp Vis Lab Kochi 682022 Kerala India Indian Inst Sci Educ & Res Dept Data Sci Thiruvananthapuram 695551 Kerala India

ISBN: (纸本)9798350385939;9798350385922

the Uniform Manifold Projection and Approximation (UMAP) assisted Feature-type distributed Clustering (FDC) workflow, contrary to the traditional UMAP algorithm, was found to be more informative for dimensionality reduction in tabular Clinical and Biomedical Routine Data (CBRD) due to the presence of diverse feature-types in such datasets. However, the prospect of using powerful neural network models for the Feature-type distributed dimensionality reduction task is yet to be explored. Considering the broader applicative potential of neural networks, we compared some autoencoder-based neural networks as an alternative to the UMAP algorithm for the FDC workflow. the study uses standard objective measures such as Silhouette Score and DB-Index to compare the quality of clusters and embeddings generated by the Autoencoder-assisted FDC (FDC-AE) approaches with the established UMAP-assisted FDC (FDC-UMAP) workflow. the evaluation involved two datasets in each size category from the medical field. the results indicate that for a dimensionality reduction and cluster identification task, the FDC-AE can be more effective compared to the FDC-UMAP, especially on larger datasets. Our research opens up the possibility of feature-distributed multi-label supervised dimensionality reduction, as well as the usage of pre-trained networks for such complex dimensionality reduction tasks.

关键词： Tabular data UMAP Autoencoders Clustering Manifold Learning

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DexChat - A Chat Application with Built in LaTeX Support 10

DexChat - A Chat Application with Built in LaTeX Support

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10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Singh, Ashutosh Raj Malleswari, Naga T. Y. J. SRM Inst Sci & Technol Sch Comp Dept Networking & Commun Chennai Tamil Nadu India

ISBN: (纸本)9798350385939;9798350385922

In response to the expanding need for advanced digital communication tools, this paper presents the development of a novel chat application designed to transcend conventional boundaries by seamlessly integrating native LaTeX support. the primary objective of this research is to address the limitations of traditional chat platforms in facilitating precise communication of mathematical notations, equations, and scientific symbols. the significance of this research lies in its contribution to advancing the landscape of digital communication by providing a platform that seamlessly accommodates mathematical and scientific discourse. the chat application's intuitive user interface, coupled with the precision of LaTeX rendering, fosters an environment conducive to collaboration among researchers, educators, and professionals across various disciplines. Preliminary user testing demonstrates the effectiveness of the proposed solution in streamlining communication workflows, particularly in scenarios requiring the expression of complex mathematical ideas. the development of this chat application with built-in LaTeX support not only extends the capabilities of existing communication tools but also sets the stage for future innovations in enhancing the richness and inclusivity of online conversations.

关键词： LaTeX Chat Communication Scientific communication

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