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High Performance Visualization for Astrophysics and Cosmology

High Performance Visualization for Astrophysics and Cosmolog...

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Euromicro conference on Parallel, distributed and Network-Based Processing

作者： Nicola Tuccari Eva Sciacca Fabio Vitello Iacopo Colonnelli Yolanda Becerra Enric Sosa Cintero Guillermo Marin Milan Jaros Lubomir Riha Petr Strakos Sebastian Trujillo-Gomez Emiliano Tramontana Robert Wissing Istituto Nazionale di Astrofisica Catania Italy Università di Torino Torino Italy Barcelona Supercomputing Center Barcelona Spain IT4Innovations National Supercomputing Center Ostrava Czech Republic Heidelberg Institute for Theoretical Studies Heidelberg Germany Università degli Studi di Catania Italy University of Oslo Institute of Theoretical Astrophysics Oslo Norway

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Modern Astrophysics and Cosmology (A&C) projects produce immense data volumes, necessitating advanced software tools for data access, storage, and analysis. Visualization Interface for the Virtual Observatory (VisIVO) is one such tool enabling multi-dimensional data analysis and knowledge discovery across complex astrophysical datasets. Leveraging containerization and virtualization, VisIVO has been deployed on various distributed computing platforms. Additionally, Blender, an open-source 3D suite, provides robust tools for rendering and processing volumetric data, making it suitable for visualizing complex datasets. At the SPACE Center of Excellence these tools are being adapted for high-performance visualization of cosmological simulations performed with GADGET and ChaNGa on pre-exascale systems. However, implementing high-performance visualization on diverse HPC platforms presents several challenges, including hardware and software compatibility, data management, scalability, performance portability, and efficient resource allocation. This paper outlines strategies to integrate VisIVO with workflow frameworks and streaming platforms to address these challenges. Workflow frameworks enhance portability, scheduling, and reproducibility of visualization workflows on pre-exascale systems.used in A&C simulations. We also discuss the use of streaming platforms to enable concurrent (i.e. in-situ) analysis and visualization of simulations, reducing the need to store full simulation data by leveraging distributed databases that stream the output data in real time. Lastly, we present an adaptation of Blender to handle large-scale particle-based astrophysical data, offering high-quality visualization with interactive exploration capabilities.

关键词： Adaptation models Analytical models Astrophysics Computational modeling Scalability Data visualization distributed databases Data models Reproducibility of results Real-time systems

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Enhancing Research Collaboration: A Text-Based Framework Using NLP for Optimal Partner Selection 24

Enhancing Research Collaboration: A Text-Based Framework Usi...

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proceedings of the 3rd international conference on computing Advancements

作者： Anik Biswas Ashraf Uddin American International University - Bangladesh (AIUB) Dhaka Bangladesh American International University-Bangladesh (AIUB) Dhaka Bangladesh

ISBN: (纸本)9798400713828

Collaborating researchers tend to be more productive, but choosing the right partners is crucial. Traditional research collaboration recommendation systems.rely on subject-based co-authorship, citation, and co-citation networks. This study introduces a framework that assesses research similarity primarily through the texts of authors' published research articles. By analyzing the abstracts of these publications, the proposed method leverages natural language processing (NLP) techniques to identify the best match between researchers' work. Instead of using author keywords and titles, which can be either too vague or too concise, abstracts are used because they effectively summarize the research objectives and contributions. This methodology was implemented using a small dataset consisting of 17,189 data entries gathered from the Scopus database. The study stands out because it focuses solely on text rather than network-based approaches, enabling the discovery of highly novel yet promising collaborators based on research similarity. To accurately represent the authors' research profiles, tf-idf and doc2vec vector embedding techniques were employed. Three human evaluators scored the machine-generated outcomes from 0 to 10 to measure the framework's reliability. The findings demonstrated that the trained model produced outcomes with exceptional precision, and doc2vec surpassed tf-idf in terms of accuracy.

关键词： Author-to-author collaboration

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Smart environmental solution for modern urbanization using mobile application. 3

Smart environmental solution for modern urbanization using m...

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3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Fahim, Wasik Ahmmed Sarkar, Puza Rani Tonmoy, Shakib Salim Pranto, Atiqur Rahman Islam, Md. Ashiqul Khatun, Tania Daffodil International University Dept. of Computer Science and Engineering Dhaka Bangladesh Daffodil International University Dept. of Software Engineering Dhaka Bangladesh

ISBN: (纸本)9780738111834

Nowadays modern civilization having a huge development in technology but we do not get obviate pollution due to the huge amount of population. Behind this, the most of the problem is continuously throwing the garbage's outside and have become stuck up anywhere. There are tons of applications supported the environment and pollution but don't have any effective solution. This paper attempts to develop a flutter based Mobile Application with Google maps API to help the users to reduce the pollution in their locality. User can mark the locations of garbage and can also mail or call the closest authority. In order that the authority can clean or take necessary steps counting on the user's report. For increasing people's awareness, it shows real-time air quality and pollution level supported on web scrapping data from different websites and IoT based systems. During this modern technology era, mobile applications are the foremost popular. So this application may be a very effective to reduce pollution by public awareness or by making communication between user and the authority. © 2021 IEEE.

关键词： Internet of things

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Blockchain-based Privacy Preservation Framework for IoT-Based Information systems

Blockchain-based Privacy Preservation Framework for IoT-Base...

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Innovations in Computer Science & Software Engineering (ICONICS), international conference on

作者： Muhammad Ali Sehrish Munawar Cheema Nasir Ayub Ammerha Naz Zaheer Aslam Department of Software Engineering The Superior University Lahore Lahore Pakistan Department of Computer Science University of Management and Technology Sialkot Pakistan Department of Computer Science University of Sialkot Sialkot

IoT-based systems.have become an important part of our lives. We interact with these types of systems.many times in a single day like smart watches, smart home systems. smart vehicle systems. and more. Mostly they perform their functionality by utilizing our data. This data is stored on a central repository mostly a cloud-based repository. This central storage mechanism has many critical data privacy issues with it. To resolve these privacy-related issues, a blockchain-based framework is proposed that stores data on distributed ledger instead of any central location. The proposed framework categorizes participants into trusted participants that are mostly data owners and the other is untrusted. It is based on two separate blockchain networks. One is the main chain that is utilized for the transactions related to data storage and the other is a side chain that is utilized for the transaction related to access policy. In this way, transactions take place on the network without any miscellaneous data or privacy threats.

关键词： Privacy Data privacy distributed ledger Memory Smart homes Interference Peer-to-peer computing

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Multi model implementation on general medicine prediction with quantum neural networks 3

Multi model implementation on general medicine prediction wi...

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3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Kumar, Swarn Avinash Kumar, Abhishek Dutt, Vishal Agrawal, Rashmi IIIT Allahabad UP India Chitkara University Institute of Engineering and Technology Chitkara University Himachal Pradesh India Aryabhatta College Department of Computer Science Ajmer India Institute of Research and Studies Faculty of Computer Application Manav Rachna International Faridabad India

ISBN: (纸本)9780738111834

Medical is the large-scale repository where there is more chances to create a new model in the zone of prediction. The proposed methodology mentioned in this article speaks about the general medicine prediction using QNN which is a challenging factor in the prediction model design and implementation. The main cause of predicting the general medicine is to predict the accurate medical combination for the patient who needs some medication and doesn't find the accurate medication in pharmacy or with the druggist. The proposed methodology with QNN is having the option to predict the accurate general medicine for the patient with some disease factors as the symptoms. The accuracy achieved is 92% with the neural network which is a hybrid mechanism with the initial data factors are considered using the expert systems. The concept of expert systems.is required in this mechanism because frames are being used in this proposed architecture related to the medicine prediction. Using frames, we can make the combination of the drugs and predict the accurate mechanism to check the alternate general medicine which is no harm to the patient until he or she gets the medical support. This general medicine prediction will be the standby process for the patient who requires the medication immediately and not able to get the accurate medicines from the nearest pharmacy. © 2021 IEEE.

关键词： Forecasting

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Utilizing the Gaode Open API for Evaluating Fire- Fighting Facility Planning

Utilizing the Gaode Open API for Evaluating Fire- Fighting F...

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Cloud computing, Big Data Applications and Software Engineering (CBASE), international conference on

作者： Bing Han Junjun Fan Jing Wang Yunfei Ding College of Horticulture Jinling Institute of Technology Nanjing China School of Government Nanjing University Nanjing China

ISBN: (数字)9798331506582

ISBN: (纸本)9798331506599

Big data has been widely used in urban planning and architecture in recent years. However, data collecting techniques limit its broader use. As a result, a lot of work has been done to precisely identify and address urban problems through the mining of legally accessible open-source internet data, which has progressively gained popularity among urban scholars. In light of this, using Nanjing as an example, this study uses the Gaode OPEN API to build urban real-time traffic circles and assess the layout of firefighting facilities. In order to extract the average vehicle speed of all roads within a certain time frame and to automatically collect real-time traffic data in the study region, a batch processing model is first developed based on the Gaode OPEN API. It was discovered that the speed causes Nanjing City to be divided into multiple different zones. After that, a case study is carried out to build an urban real-time traffic circle based on the current firefighting facilities using the Python programming language and Arcgis software. After further analysis, it is found that the current planning for firefighting facilities exhibits a notable regional difference between the urban centre and the suburbs. Traffic speed, station density, and road network density all influence the service coverage area of fire stations. This study offers a comprehensive approach for gathering and analysing Gaode data, mining its spatiotemporal properties, and using it in planning evaluation procedures. This strategy highlights the benefits of streaming data features and distributed big data processing, efficiently uses the real-time nature of big data in emergency facility planning, and is expected to expand ideas for data collection.

关键词： Roads Urban planning distributed databases Real-time systems Software Planning Spatiotemporal phenomena Data mining Software engineering Python

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3rd international conference on computing and Communication, IC3 2020

3rd International Conference on Computing and Communication,...

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3rd international conference on computing and Communication, IC3 2020

ISBN: (纸本)9789811573934

The proceedings contain 62 papers. The special focus in this conference is on computing and Communication. The topics include: Cycloconverter Fed Capacitor Start Capacitor Run Induction Motor Drive: Simulation Analysis;novel User Preference Recommender System Based on Twitter Profile Analysis;optimizing Energy Efficiency in Device-to-Device Communication Using Intelligent Algorithms;a Case Study and Fraud Rate Prediction in e-Banking systems.Using Machine Learning and Data Mining;implementation of Branch and Bound Method for Maximizing Network Capacity of Cognitive Radio Networks;Design and Implementation of Ploughing and Seeding of Agriculture Robot Using IOT;A Hybrid Strategy Based on Monitored Region Segregation for Redundant Data Minimization (HS-MRS) in Sensor Networks;A Chaotic-Jaya Optimized OSELM Model for Cancer Classification;performance of Scalable Data Linked to Internet of Things: A Case Study;comparison Between the Statistical Method Models for Better Time Series Sales Forecasting Model;Clustering Algorithms for MANETs: A Review on Design and Development;a Study on Various Machine Learning Algorithms Used for Prediction of Diabetes Mellitus;crime Rate Prediction Using Machine Learning and Data Mining;Heterogeneous IHRRN Scheduler Based on Closeness Centrality;a Continuous Word Segmentation of Bengali Noisy Speech;MathNET: Using CNN Bangla Handwritten Digit, Mathematical Symbols, and Trigonometric Function Recognition;bengali Accent Classification from Speech Using Different Machine Learning and Deep Learning Techniques;Bengali News Headline Generation on the Basis of Sequence to Sequence Learning Using Bi-Directional RNN;in Perspective of Combining Chaotic Particle Swarm Optimizer and Gravitational Search Algorithm Based on Optimal Power Flow in Wind Renewable Energy;preface.

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IEEE international conference on Blockchain and Cryptocurrency, ICBC 2021

IEEE International Conference on Blockchain and Cryptocurren...

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3rd IEEE international conference on Blockchain and Cryptocurrency, ICBC 2021

ISBN: (纸本)9781665435789

The proceedings contain 96 papers. The topics discussed include: VSCL: automating vulnerability detection in smart contracts with deep learning;MIRIAM: a blockchain-based web application for managing professional registrations of medical doctors in Brazil;towards privacy-preserving digital contact tracing;blockchain based accounts payable platform for goods trade;an anonymous trust-marking scheme on blockchain systems.data cooperatives for neighborhood watch;unpredictability properties in Algorand consensus protocol;EVM-Perf: high-precision EVM performance analysis;and FASTEN: fair and secure distributed voting using smart contracts.

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3rd international conference on Innovative computing and Communication, ICICC 2020

3rd International Conference on Innovative Computing and Com...

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3rd international conference on Innovative computing and Communication, ICICC 2020

ISBN: (纸本)9789811551123

The proceedings contain 196 papers. The special focus in this conference is on Innovative computing and Communication. The topics include: A Primer on Opinion Mining: The Growing Research Area;a Generic Framework for Evolution of Deep Neural Networks Using Genetic Algorithms;multimodal Medical Image Fusion Based on Discrete Wavelet Transform and Genetic Algorithm;driver Fatigue and Distraction Analysis Using Machine Learning Algorithms;a Hybridized Auto-encoder and Convolution Neural Network-Based Model for Plant Identification;curaBand: Health Monitoring and Warning System;optimization Algorithm-Based Artificial Neural Network Control of Nonlinear systems.mHealth for Mental Health;elman and Jordan Recurrence in Convolutional Neural Networks Using Attention Window;state of Charge Estimation Using Data-Driven Techniques for Storage Devices in Electric Vehicles;Application of Stochastic Approximation for Self-tuning of PID in Unmanned Surface Vehicles;dark web Activity on Tor—Investigation Challenges and Retrieval of Memory Artifacts;A Heterogeneous Dynamic Scheduling Minimize Energy—HDSME;face Recognition-Based Automated Attendance System;Human Emotion Recognition from Spontaneous Thermal Image Sequence Using GPU Accelerated Emotion Landmark Localization and Parallel Deep Emotion Net;delay Based Multi-controller Placement in Software Define Tactical Network;security in Cloud computing for Sensitive Data: Challenges and Propositions;Utility of Game Theory in Defensive Wireless Sensor Networks (WSNs);robust Approach for Emotion Classification Using Gait;routing in Internet of Things Using Cellular Automata;depression Detection Among Social Media Users Using Machine Learning;Security-Based LEACH Protocol for Wireless Sensor Network;Design of High-Speed FPGA Based CASU Using CBNS Arithmetic: Extension to CFFT Processor;blockchain-Based Boothless E-Voting System;preface.

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Efficient Data Transfer in Shared-storage Cloud Data Processing systems.with OPTICS 23

Efficient Data Transfer in Shared-storage Cloud Data Process...

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proceedings of the 33rd Annual international conference on Computer Science and Software Engineering

作者： Paulos Gabriel Zhang Tongkun Zhang Yuqiu Zhu Gerry Karimov Jeyhun Jacobsen Hans Arno University of Toronto Toronto ON Canada

We propose OPTICS, a middleware that optimizes data transfer between the compute layer and the shared object storage in today’s cloud data processing systems. OPTICS implements four data in-teraction patterns to serve a wide spectrum of application needs. Our solution enables synchronous and asynchronous data access from multiple clients and supports transfer of both object stor-age data and object references. As a result, OPTICS significantly reduces network overhead of large object movements. Operating as a client daemon in each compute node, OPTICS can be seam-lessly integrated into any shared-storage cloud architecture with an S3-compatible object storage backend.

关键词： Databases distributed systems Middleware

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