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Journal articles on the topic 'Open Cloud interface'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

Kim, Kwangseob, and Kiwon Lee. "Prototyping of Utilization Model for KOMPSAT-3/3A Analysis Ready Data Based on the Open Data Cube Platform in Multi-Cloud Computing Environment: A Case Study." Applied Sciences 13, no. 18 (2023): 10478. http://dx.doi.org/10.3390/app131810478.

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This study introduces a multi-cloud model that combines private and public cloud services for processing and managing satellite images. The multi-cloud service is established by incorporating private clouds within organizations and integrating them with external public cloud services to utilize the data. Private clouds can maintain data security within an organization or between organizations, while public clouds offer easy processing options for general users with access accounts. The model for the private cloud service utilizes open-source OpenStack software to create virtual machines, allow

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Pinsky, Mark, and Alexander Khain. "Theoretical Analysis of the Entrainment–Mixing Process at Cloud Boundaries. Part II: Motion of Cloud Interface." Journal of the Atmospheric Sciences 76, no. 8 (2019): 2599–616. http://dx.doi.org/10.1175/jas-d-18-0314.1.

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Abstract The entrainment–mixing process leads to formation of a cloud–environment interface zone, consisting of the cloud dilution zone, where the liquid water content decreases as the distance from the cloud interior increases, and a humid shell with higher humidity in comparison with the dry environment. The time evolution of the location and width of these zones is analyzed by solving the diffusion–evaporation equation for the open region in the vicinity of the cloud–dry air interface. Upon normalization, the problem is reduced to a one-parametric one, the governing parameter being the pote

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Park, Jong-Hyuk, Hwa-Young Jeong, Young-Sik Jeong, and Min Choi. "REST-MapReduce: An Integrated Interface but Differentiated Service." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/170723.

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With the fast deployment of cloud computing, MapReduce architectures are becoming the major technologies for mobile cloud computing. The concept of MapReduce was first introduced as a novel programming model and implementation for a large set of computing devices. In this research, we propose a novel concept of REST-MapReduce, enabling users to use only the REST interface without using the MapReduce architecture. This approach provides a higher level of abstraction by integration of the two types of access interface, REST API and MapReduce. The motivation of this research stems from the slower

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Logothetis, S., E. Karachaliou, E. Valari, and E. Stylianidis. "OPEN SOURCE CLOUD-BASED TECHNOLOGIES FOR BIM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 607–14. http://dx.doi.org/10.5194/isprs-archives-xlii-2-607-2018.

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This paper presents a Cloud-based open source system for storing and processing data from a 3D survey approach. More specifically, we provide an online service for viewing, storing and analysing BIM. Cloud technologies were used to develop a web interface as a BIM data centre, which can handle large BIM data using a server. The server can be accessed by many users through various electronic devices anytime and anywhere so they can view online 3D models using browsers. Nowadays, the Cloud computing is engaged progressively in facilitating BIM-based collaboration between the multiple stakeholder

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Sun, Rui Qi, Jie Yang, Zhan Gao, and Zhi Qiang He. "A Framework of Automatic Deployment for Cloud Management Platforms." Applied Mechanics and Materials 631-632 (September 2014): 218–21. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.218.

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With the widespread adoption of Cloud infrastructure, there are many famous open source Cloud management platforms, but it is not a trivial task to build Infrastructure as a Service Clouds using them. Moreover, during the developing and testing phase, Cloud platforms need to be built frequently. Existing automatic deployment tools require users to have programming skills using high-level programming language. However, many Cloud administrators are not related programming experience. Therefore, they must repeatedly manually deploy the Cloud platforms step by step. In this paper, we propose a vi

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Bello, Sururah Apinke. "A Proposed Criteria for Evaluting Cloud based Systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 3 (2014): 4281–90. http://dx.doi.org/10.24297/ijct.v13i3.2759.

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A number of Cloud Providers have sprung up with different offers ranging from providing instances that looks much like physical hardware to application domain-specific offers. This study intends to propose a set of review criteria to evaluate existing Cloud computing providers to high level information about this emerging way of IT provisioning. Existing Cloud providers in the Iaas, Paas and SaaS were considered using, Architecture, Application Programming Interface, User Interface, Security, Fault tolerance and Scalability, Software implementation, Monitoring, Payment and Performance. This st

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Chen, I.-Cheng, and I.-Ching Hsu. "Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing." International Journal of Web Information Systems 15, no. 2 (2019): 236–54. http://dx.doi.org/10.1108/ijwis-02-2018-0015.

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Purpose In recent years, governments around the world are actively promoting the Open Government Data (OGD) to facilitate reusing open data and developing information applications. Currently, there are more than 35,000 data sets available on the Taiwan OGD website. However, the existing Taiwan OGD website only provides keyword queries and lacks a friendly query interface. This study aims to address these issues by defining a DBpedia cloud computing framework (DCCF) for integrating DBpedia with Semantic Web technologies into Spark cluster cloud computing environment. Design/methodology/approach

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Beier, M. "Antriebsbasierte Automation eröffnet Gestaltungsmöglichkeiten." Konstruktion 68, S1 (2016): 50–52. http://dx.doi.org/10.37544/0720-5953-2016-s1-50.

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Antriebsfunktionen ohne SPS-Programmierung in gewohnter Hochsprachen-Umgebung erstellen und auf beliebigen Betriebssystemen einsetzen: Mit der in Open Core Engineering integrierten Schnittstellentechnologie Open Core Interface for Drives können Entwickler Cloud-Diensten oder Applikationen auf Servern, PCs und Smart Devices direkten Zugriff auf die Antriebe geben (Bild 1).

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Pinsky, Mark, and Alexander Khain. "Theoretical Analysis of the Entrainment–Mixing Process at Cloud Boundaries. Part I: Droplet Size Distributions and Humidity within the Interface Zone." Journal of the Atmospheric Sciences 75, no. 6 (2018): 2049–64. http://dx.doi.org/10.1175/jas-d-17-0308.1.

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Abstract The problem of a complex entrainment–mixing process is analyzed by solving a diffusion–evaporation equation for an open region in the vicinity of the cloud–dry air interface. Upon normalization the problem is reduced to a one-parametric one, the governing parameter being the potential evaporation parameter R proportional to the ratio of saturation deficit in the dry air to the available liquid water content in the cloud air. As distinct from previous multiple studies analyzing mixing within closed adiabatic volumes, we consider a principally nonstationary problem that never leads to a

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Rakitin, Maksim S., Paul Moeller, Robert Nagler, et al. "Sirepo: an open-source cloud-based software interface for X-ray source and optics simulations." Journal of Synchrotron Radiation 25, no. 6 (2018): 1877–92. http://dx.doi.org/10.1107/s1600577518010986.

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Sirepo, a browser-based GUI for X-ray source and optics simulations, is presented. Such calculations can be performed using SRW (Synchrotron Radiation Workshop), which is a physical optics computer code, allowing simulation of entire experimental beamlines using the concept of a `virtual beamline' with accurate treatment of synchrotron radiation generation and propagation through the X-ray optical system. SRW is interfaced with Sirepo by means of a Python application programming interface. Sirepo supports most of the optical elements currently used at beamlines, including recent developments i

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Yi-Jen Su, Yi-Jen Su, and Sheng-Yuan Yang Yi-Jen Su. "A User-friendly Cloud-based Multi-agent Information System for Smart Energy-saving." 網際網路技術學刊 25, no. 2 (2024): 293–300. http://dx.doi.org/10.53106/160792642024032502011.

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<p>The study focused on leveraging artificial intelligence (AI) for efficient energy conservation in scientific applications. The proposed cloud-based multi-agent system merges various intelligent technologies to swiftly gather high-quality cloud data for effective smart energy-saving. Incorporating case-based reasoning (CBR), big data analysis, and intelligent user interfaces as key functionalities, the system utilized Web services, ontology, open data, and data mining. It expanded on the practical advancements of the multi-agent Dr. What-Info system for information collection. A Web se

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Achumba, Ifeyinwa Eucharia, Kennedy Chinedu Okafor, Gloria N. Ezeh, and Uchenna Hermes Diala. "OpenFlow Virtual Appliance." International Journal of Digital Crime and Forensics 7, no. 2 (2015): 31–52. http://dx.doi.org/10.4018/ijdcf.2015040103.

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Network forensics vis-a-vis cloud computing offerings can be leveraged to address the needs of enterprise-grade spyware solutions online. A modular, extensible cloud architecture with intrinsic support for efficient security monitoring is proposed and an implementation architecture which facilitates dynamic interface with OpenFlow hardware to create infinite flexibility in managing security decisions is presented. A forensic DataCenter model that integrates remote security monitoring using an intelligent Virtual Security Gateway in a cloud domain was developed as part of the work. An OpenFlow

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Roberts, Jacob B., Alberto A. Nava, Allison N. Pearson, et al. "Foldy: An open-source web application for interactive protein structure analysis." PLOS Computational Biology 20, no. 2 (2024): e1011171. http://dx.doi.org/10.1371/journal.pcbi.1011171.

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Foldy is a cloud-based application that allows non-computational biologists to easily utilize advanced AI-based structural biology tools, including AlphaFold and DiffDock. With many deployment options, it can be employed by individuals, labs, universities, and companies in the cloud without requiring hardware resources, but it can also be configured to utilize locally available computers. Foldy enables scientists to predict the structure of proteins and complexes up to 6000 amino acids with AlphaFold, visualize Pfam annotations, and dock ligands with AutoDock Vina and DiffDock. In our manuscri

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Bhawiyuga, Adhitya, Satria Adi Kharisma, Bagus Jati Santoso, Dany Primanita Kartikasari, and Annisa Puspa Kirana. "Cloud-based middleware for supporting batch and stream access over smart healthcare wearable device." Bulletin of Electrical Engineering and Informatics 9, no. 5 (2020): 1990–97. http://dx.doi.org/10.11591/eei.v9i5.1978.

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In IoT-based smart healthcare services, the heterogeneity of connected wearable sensing devices open up a wide opportunity to develop various healthcare services. However, it also poses an interoperability challenge since each sensing device and application may have different communication mechanisms. Considering that challenge, web platform can be seen as a promising candidate for providing an interoperability layer as we can abstract various devices as single representation i.e. web resource. In this paper, we propose the design of middleware for enabling efficient web of things access over

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Wati Mohamad Yusof, Yuslinda, Muhammad Asyraf Mohd Nasir, Kama Azura Othman, Saiful Izwan Suliman, Shahrani Shahbudin, and Roslina Mohamad. "Real-Time Internet Based Attendance Using Face Recognition System." International Journal of Engineering & Technology 7, no. 3.15 (2018): 174. http://dx.doi.org/10.14419/ijet.v7i3.15.17524.

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This project focuses on face recognition implementation in creating fully automated attendance system with a cloud. Cloud services will provide a useful information regarding the attendance such as attendance summary performance and visualizing the data into graph and chart. In this study, we aim to create an online student attendance database, interfaced with a face recognition system based on raspberry pi 3 model B. A graphical user interface (GUI) will provide ease of use for data analysis on the attendance system. This work used open computer vision library and python for face recognition

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Luo, Yi Ping, Zhuang De Jiang, B. Li, and Y. G. Wang. "Surface Reconstruction Based on Laser Scan Data." Key Engineering Materials 295-296 (October 2005): 693–98. http://dx.doi.org/10.4028/www.scientific.net/kem.295-296.693.

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The problem of freeform surface reconstruction starting from a cloud of points measured by a laser scanning system is examined. The objective is to fully integrate reverse engineering and laser scanning for rapid product development. The measuring principle and the configuration of the system are investigated. Based on non-uniform rational B-spline (NURBS) curve and surface, the freeform curve, the surface reconstruction method, the step and parameterization algorithms are introduced. The interfaces between initial graphic exchange specification (IGES) and stereo lithography interface specific

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Rosenberger, Philipp, Martin Friedrich Holder, Nicodemo Cianciaruso, et al. "Sequential lidar sensor system simulation: a modular approach for simulation-based safety validation of automated driving." Automotive and Engine Technology 5, no. 3-4 (2020): 187–97. http://dx.doi.org/10.1007/s41104-020-00066-x.

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Abstract Validating safety is an unsolved challenge before autonomous driving on public roads is possible. Since only the use of simulation-based test procedures can lead to an economically viable solution for safety validation, computationally efficient simulation models with validated fidelity are demanded. A central part of the overall simulation tool chain is the simulation of the perception components. In this work, a sequential modular approach for simulation of active perception sensor systems is presented on the example of lidar. It enables the required level of fidelity of synthetic o

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Chen, Kune-Yao, and Sheng-Yuan Yang. "A Cloud Information Monitoring and Recommendation Multi-Agent System with Friendly Interfaces for Tourism." Applied Sciences 9, no. 20 (2019): 4385. http://dx.doi.org/10.3390/app9204385.

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The tourism statistics of Taiwan’s government state that the tourism industry is one of the fastest growing economic sources in the world. Therefore, the demand for a tourism information system with a friendly interface is growing. This research implemented the construction of a cloud information service platform based on numerous practical developments in the Dr. What-Info system (i.e., a master multi-agent system on what the information is), which developed universal application interface (UAI) technology based on the Taiwan government’s open data with the aim of connecting different applica

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Pakdil, M. E., and R. N. Çelik. "DESIGN OF A SERVERLESS OGC WPS BASED GEOPROCESSING SERVICE SOLUTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W5-2021 (December 23, 2021): 425–30. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-425-2021.

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Abstract. Geospatial data and related technologies have increasingly become a crucial part of big data analysis processes and even a prominent player in most of them. Serverless architectures have become today's trending and widely used technology within the cloud computing paradigm. In this paper, we review the serverless paradigm advantages over traditional cloud architecture models and infrastructures. Moreover, we examined the deployment of Open Geospatial Consortium (OGC) Web Processing Service (WPS) specification based geoprocessing Application Programming Interface (API) with serverless

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Kharroubi, A., R. Hajji, R. Billen, and F. Poux. "CLASSIFICATION AND INTEGRATION OF MASSIVE 3D POINTS CLOUDS IN A VIRTUAL REALITY (VR) ENVIRONMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (November 29, 2019): 165–71. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-165-2019.

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Abstract. With the increasing volume of 3D applications using immersive technologies such as virtual, augmented and mixed reality, it is very interesting to create better ways to integrate unstructured 3D data such as point clouds as a source of data. Indeed, this can lead to an efficient workflow from 3D capture to 3D immersive environment creation without the need to derive 3D model, and lengthy optimization pipelines. In this paper, the main focus is on the direct classification and integration of massive 3D point clouds in a virtual reality (VR) environment. The emphasis is put on leveragi

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Pakdil, Mete Ercan, and Rahmi Nurhan Çelik. "Serverless Geospatial Data Processing Workflow System Design." ISPRS International Journal of Geo-Information 11, no. 1 (2021): 20. http://dx.doi.org/10.3390/ijgi11010020.

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Geospatial data and related technologies have become an increasingly important aspect of data analysis processes, with their prominent role in most of them. Serverless paradigm have become the most popular and frequently used technology within cloud computing. This paper reviews the serverless paradigm and examines how it could be leveraged for geospatial data processes by using open standards in the geospatial community. We propose a system design and architecture to handle complex geospatial data processing jobs with minimum human intervention and resource consumption using serverless techno

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Padhy, Neelamadhab, Raman Kumar Mishra, Suresh Chandra Satapathy, and K. Srujan Raju. "An automation API for authentication and security for file uploads in the cloud storage environment." Intelligent Decision Technologies 14, no. 3 (2020): 393–407. http://dx.doi.org/10.3233/idt-190129.

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Cloud Computing is widespread to support industrial and academy related applications worldwide. The archival data process in the cloud is one of the challenging tasks. To handle this issue, the authors addressed the model, which allows authenticating the cloud storage using the JOSS (Java Library for Open stack storage) through the authentication URL. To achieve the authentication of the heterogeneous data while uploading into the cloud storage, a proposed model developed using the JOSS. To address this research question and demonstrate our approach, we have created the API for the archival so

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Dorobăţ, Ilie Cristian, and Vlad Posea. "Iq Semantic: Semantic Web Intelligent Querying Framework." International conference KNOWLEDGE-BASED ORGANIZATION 26, no. 3 (2020): 103–7. http://dx.doi.org/10.2478/kbo-2020-0122.

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AbstractThe continuous expansion of the semantic web and of the linked open data cloud meant more semantic data are available for querying from endpoints all over the web. We propose extending a standard SPARQL interface with UI and Natural Language Processing features to allow easier and more intelligent querying. The paper describes some usage scenarios for easy querying and launches a discussion on the advantages of such an implementation.

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Kim, Kwangseob, and Kiwon Lee. "An Implementation of Open Source-Based Software as a Service (SaaS) to Produce TOA and TOC Reflectance of High-Resolution KOMPSAT-3/3A Satellite Image." Remote Sensing 13, no. 22 (2021): 4550. http://dx.doi.org/10.3390/rs13224550.

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The majority of cloud applications are created or delivered to provide users with access to system resources or prebuilt processing algorithms for efficient data storage, management, and production. The number of cases linking cloud computing to the use of global observation satellite data continues to rise, owing to the benefits of cloud computing. This study aims to develop a cloud software as a service (SaaS) that yields reflectance products in high-resolution Korea Multi-Purpose Satellite (KOMPSAT)-3/3A satellite images. The SaaS model was designed as three subsystems: a Calibration Proces

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K. DeviPriya and Sumalatha Lingamgunta. "Multi Factor Two-way Hash-Based Authentication in Cloud Computing." International Journal of Cloud Applications and Computing 10, no. 2 (2020): 56–76. http://dx.doi.org/10.4018/ijcac.2020040104.

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The expansion of Cloud computing is influencing various domains such as education, the banking sector, industries, government, health informatics, and individuals. The characteristics of an easy interface, on-demand access, scalability, and low infrastructure investment have to lead to the fast adaptation of Cloud computing based upon their needs. Despite the advantages, Cloud computing is open to more security risks and attacks especially in terms of communication due to the lack of secure authentication and privacy. In this article is presented a novel hash-based multifactor secure mutual au

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Giménez-Alventosa, Vicent, José Damián Segrelles, Germán Moltó, and Mar Roca-Sogorb. "APRICOT: Advanced Platform for Reproducible Infrastructures in the Cloud via Open Tools." Methods of Information in Medicine 59, S 02 (2020): e33-e45. http://dx.doi.org/10.1055/s-0040-1712460.

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Abstract Background Scientific publications are meant to exchange knowledge among researchers but the inability to properly reproduce computational experiments limits the quality of scientific research. Furthermore, bibliography shows that irreproducible preclinical research exceeds 50%, which produces a huge waste of resources on nonprofitable research at Life Sciences field. As a consequence, scientific reproducibility is being fostered to promote Open Science through open databases and software tools that are typically deployed on existing computational resources. However, some computationa

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Kirsebom, Oliver S., Fabio Frazao, Bruno Padovese, Sadman Sakib, Yue Su, and Stan Matwin. "MERIDIAN open-source software for deep learning-based acoustic data analysis." Journal of the Acoustical Society of America 151, no. 4 (2022): A27. http://dx.doi.org/10.1121/10.0010545.

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Deep neural networks have the potential to transform our approach to developing acoustic detection and classification models, enabling acousticians to develop or re-purpose such models through a fully data-driven approach requiring minimal knowledge of signal processing, algorithm design, and programming. However, open-source software to facilitate this data-driven workflow is currently lacking. MERIDIAN is working towards filling this gap through the development of several open-source software products, including the Python package Ketos and the MAIPL (Marine AI PLatform) suite of web applica

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LABERTEAUX, K. R., and S. L. CECCIO. "Partial cavity flows. Part 1. Cavities forming on models without spanwise variation." Journal of Fluid Mechanics 431 (March 25, 2001): 1–41. http://dx.doi.org/10.1017/s0022112000002925.

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Partial cavities that formed on the vertices of wedges and on the leading edge of stationary hydrofoils were examined experimentally. The geometry of these test objects did not vary in the spanwise direction (i.e. two-dimensional). Open partial cavities formed on a series of two-dimensional wedges and on a plano-convex hydrofoil. These cavities terminated near the point of maximum cavity thickness, and small vapour-filled vortices were shed in the turbulent cavity wake. The turbulent flow in the wake of the open cavity was similar to the turbulent shear flow downstream of a rearward-facing ste

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Ziamtsov, Illia, and Saket Navlakha. "Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds." Bioinformatics 36, no. 12 (2020): 3949–50. http://dx.doi.org/10.1093/bioinformatics/btaa220.

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Abstract Motivation Developing methods to efficiently analyze 3D point cloud data of plant architectures remain challenging for many phenotyping applications. Here, we describe a tool that tackles four core phenotyping tasks: classification of cloud points into stem and lamina points, graph skeletonization of the stem points, segmentation of individual lamina and whole leaf labeling. These four tasks are critical for numerous downstream phenotyping goals, such as quantifying plant biomass, performing morphological analyses of plant shapes and uncovering genotype to phenotype relationships. The

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K. Praveen and R. Vadivel. "Iot-based flood monitoring and early warning system for proactive security measures." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 1798–806. http://dx.doi.org/10.30574/wjarr.2024.21.3.0681.

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The project introduces an IoT-based flood monitoring system using Arduino Uno, soil moisture sensor, LCD, buzzer, Wi-Fi module (e.g., ESP8266), and ThingSpeak cloud platform. It monitors soil moisture levels, issuing alerts when a predefined threshold indicative of potential flooding is reached. The soil moisture sensor measures moisture content and is displayed on an LCD screen for real-time monitoring. A buzzer provides audible alerts for high moisture levels. A Wi-Fi module enables wireless communication, transmitting data to the ThingSpeak cloud platform for centralized storage and analysi

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Truyen, Eddy, Hongjie Xie, and Wouter Joosen. "Vendor-Agnostic Reconfiguration of Kubernetes Clusters in Cloud Federations." Future Internet 15, no. 2 (2023): 63. http://dx.doi.org/10.3390/fi15020063.

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Kubernetes (K8s) defines standardized APIs for container-based cluster orchestration such that it becomes possible for application managers to deploy their applications in a portable and interopable manner. However, a practical problem arises when the same application must be replicated in a distributed fashion across different edge, fog and cloud sites; namely, there will not exist a single K8s vendor that is able to provision and manage K8s clusters across all these sites. Hence, the problem of feature incompatibility between different K8s vendors arises. A large number of documented feature

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Kumar, V. V. Sumanth, Y. Praneetha, B. Padmaja, and Lakshmana Murthy G. "Cloud Powered Plant Image Warehouse." Oriental journal of computer science and technology 13, no. 1 (2020): 44–49. http://dx.doi.org/10.13005/ojcst13.01.04.

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Cloud powered plant image warehouse serves as an instrumental solution for various scientific and academic personnel involved in research, education and extension at NARES (National Agricultural Research and Education System), through providing a common image dataset that complements for efficient and more productive activities by saving them time, space, hassle and financial resources. This web based image repository enables the entire scientific community to access the freely available resources contributed by the fellow researchers who worked on common areas of interest, besides facilitatin

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Singh, Shikha, Ajay Kumar Bharti, Himanshu Pandey, Rakesh Kumar Yadav, Durgansh Sharma, and N. R. Shanker. "Towards Automated and Optimized Security Orchestration in Cloud SLA." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (2023): 215–22. http://dx.doi.org/10.17762/ijritcc.v11i3.6339.

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In cloud computing, providers pool their resources and make them available to customers. Next-generation computer scientists are flocking to the cutting-edge field of cloud computing for their research and exploration of uncharted territory. There are still several barriers that cloud service providers must overcome in order to provide cloud services in accordance with service level agreements. Each cloud service provider aspires to achieve maximum performance as per Service Level Agreements (SLAs), and this is especially true when it comes to the delivery of services. A cloud service level ag

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Haitao, Jin, Jin Fengjun, Hao Qing, Zhu He, and Yang Xue. "Measuring Public Transit Accessibility Based On Google Direction API." Open Transportation Journal 13, no. 1 (2019): 93–108. http://dx.doi.org/10.2174/1874447801913010093.

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Background: Accessibility is considered as an important indicator for the public transit service level. Transit accessibility is generally evaluated by its distance to transit access points such as bus stops and metro stations, and methods of measuring the access distances to transit points have been relying heavily on geographic data of transit facilities, built environments and pedestrian routes. Data collecting and analyzing are tedious for researchers in conventional approaches. As the application of cloud computing is on the rise, open services provided by Google Cloud Platform may simpli

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Bhuyan, Sandeepa, Shulin Zhao, Ziyu Ying, Mahmut T. Kandemir, and Chita R. Das. "End-to-end Characterization of Game Streaming Applications on Mobile Platforms." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (2022): 11–12. http://dx.doi.org/10.1145/3547353.3522650.

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With the advent of 5G, hosting high-quality game streaming applications on mobile devices has become a reality. To our knowledge, no prior study systematically investigates the < QoS, Energy > tuple on the end-to-end game streaming pipeline across the cloud, network, and edge devices to understand the individual contributions of the different pipeline stages. In this paper, we present a comprehensive performance and power analysis of the entire game streaming pipeline through extensive measurements with a high-end workstation mimicking the cloud end, an open-source platform (Moonlight-Ga

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Korsa, Matiyas Tsegay, Søren Petersen, Neda Rahmani, Alireza Shabani, Yogendra Kumar Mishra, and Jost Adam. "Photonic Materials Cloud: An Online Interactive Open Tool for Creating, Comparing, and Testing Photonic Materials." Nanomaterials 12, no. 15 (2022): 2585. http://dx.doi.org/10.3390/nano12152585.

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Recent advances in nanoscale fabrication and characterization further accelerated research on photonics and plasmonics, which has already attracted long-standing interest. Alongside morphological constraints, phenomena in both fields highly depend on the materials’ optical properties, dimensions, and surroundings. Building up the required knowledge and experience to design next-generation photonic devices can be a complex task for novice and experienced researchers who intend to evaluate the impact of subtle material and morphology variations while setting up experiments or getting a general o

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Lee, Soohyun, Jeremy Johnson, Carl Vitzthum, Koray Kırlı, Burak H. Alver, and Peter J. Park. "Tibanna: software for scalable execution of portable pipelines on the cloud." Bioinformatics 35, no. 21 (2019): 4424–26. http://dx.doi.org/10.1093/bioinformatics/btz379.

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Abstract Summary We introduce Tibanna, an open-source software tool for automated execution of bioinformatics pipelines on Amazon Web Services (AWS). Tibanna accepts reproducible and portable pipeline standards including Common Workflow Language (CWL), Workflow Description Language (WDL) and Docker. It adopts a strategy of isolation and optimization of individual executions, combined with a serverless scheduling approach. Pipelines are executed and monitored using local commands or the Python Application Programming Interface (API) and cloud configuration is automatically handled. Tibanna is w

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Topping, David, Mark Barley, Michael K. Bane, et al. "UManSysProp v1.0: an online and open-source facility for molecular property prediction and atmospheric aerosol calculations." Geoscientific Model Development 9, no. 2 (2016): 899–914. http://dx.doi.org/10.5194/gmd-9-899-2016.

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Abstract. In this paper we describe the development and application of a new web-based facility, UManSysProp (http://umansysprop.seaes.manchester.ac.uk), for automating predictions of molecular and atmospheric aerosol properties. Current facilities include pure component vapour pressures, critical properties, and sub-cooled densities of organic molecules; activity coefficient predictions for mixed inorganic–organic liquid systems; hygroscopic growth factors and CCN (cloud condensation nuclei) activation potential of mixed inorganic–organic aerosol particles; and absorptive partitioning calcula

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Belmonte, A. A., M. M. P. Biong, and E. G. Macatulad. "DEM GENERATION FROM CLOSE-RANGE PHOTOGRAMMETRY USING EXTENDED PYTHON PHOTOGRAMMETRY TOOLBOX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W5 (October 5, 2017): 11–19. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w5-11-2017.

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Digital elevation models (DEMs) are widely used raster data for different applications concerning terrain, such as for flood modelling, viewshed analysis, mining, land development, engineering design projects, to name a few. DEMs can be obtained through various methods, including topographic survey, LiDAR or photogrammetry, and internet sources. Terrestrial close-range photogrammetry is one of the alternative methods to produce DEMs through the processing of images using photogrammetry software. There are already powerful photogrammetry software that are commercially-available and can produce

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Gazzarrini, Elena, Enrique Garcia Garcia, Domenic Gosein, and Xavier Espinal. "The Virtual Research Environment: A multi-science analysis platform." EPJ Web of Conferences 295 (2024): 08023. http://dx.doi.org/10.1051/epjconf/202429508023.

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One of the objectives of the ESCAPE collaboration, within the context of the implementation of the European Open Science Cloud, is integrating analysis workflows from Cosmology, Astrophysics and High Energy Physics into a common framework, making it easier for researchers to share data, software and analysis code. The development of the ESCAPE Science Projects (Dark Matter and Extreme Universe) relies on the implementation of the Virtual Research Environment, a prototype analysis platform deployed in the respect of FAIR data principles. The Virtual Research Environment’s main components are (1

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Konevshchynska, O., and A. Kravchenko. "NETWORK RESOURCES AND SERVICES AS MEANS OF INFORMATION AND COMMUNICATION BETWEEN SUBJECTS OF EDUCATIONAL ACTIVITY OF HIGHER EDUCATIONAL INSTITUTION." Zhytomyr Ivan Franko state university journal. Рedagogical sciences, no. 3(89) (July 22, 2017): 5–11. http://dx.doi.org/10.35433/pedagogy.3(89).2017.5-11.

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In an article on the basis of the thorough analysis of the psychological, pedagogical and methodological scientific sources, the basic definition investigated problem and the peculiarities of the structure and use of cloud-oriented information and analytical network tools, including administrative, corporate, educational, university website to perform scientific, educational and international activities of the university. The expediency and the ability to use network resources and cloud services as a means of information and communication interaction of educational activity of higher education

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Berko, Andriy, Dmytro Polivenok, and Tetiana Shestakevych. "Information systems for automating work flows: a comparative analysis." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 13 (July 15, 2023): 243–50. http://dx.doi.org/10.23939/sisn2023.13.243.

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Workflow is a sequence of repeated and controlled steps aimed at completing a specific task or work. The urgency of the task of optimizing such works contributed to the development of methods and means of operations research to optimize such processes for the needs of various subject areas. Information technologies to support such workflow are workflow engines that enable faster automation, ensure compliance with norms and standards, formalize business processes, improve communication, etc. The workflow management systems are divided into the following categories: automation using robotics, in

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Ahuja, Sanjay P., and Neha Soni. "Performance Evaluation of Public IaaS Clouds for Web 2.0 Applications Using CloudStone Benchmark." International Journal of Cloud Applications and Computing 7, no. 1 (2017): 72–93. http://dx.doi.org/10.4018/ijcac.2017010105.

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Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deplo

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Hébrard, Guillaume, Daniel Péquignot, Alfred Vidal-Madjar, Jeremy R. Walsh, and Roger Ferlet. "Deuterium Balmer Emission from Nebulae." Symposium - International Astronomical Union 198 (2000): 238–39. http://dx.doi.org/10.1017/s0074180900166641.

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We report on the detection and first identification of the deuterium Balmer lines dα and dβ, observed in emission in the Orion Nebula (M 42). The excitation mechanism is UV fluorescence from the Lyman(D i) lines at the interface between the H ii region and the molecular cloud. These lines may open the possibility to measure D/H in galactic H ii regions and, e.g., low-metallicity extragalactic H ii regions, using optical spectroscopy. Fluorescence provides an extremely sensitive way to detect deuterium. Thus, the non-detection of dα and dβ in the planetary nebula NGC 6572 leads to the stringent

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Marchenko, Andrei, and Dmitry Shchemelinin. "Development of an automated system for testing a cloud service for deploying virtual machines using modern monitoring tools." Программные системы и вычислительные методы, no. 2 (February 2023): 29–39. http://dx.doi.org/10.7256/2454-0714.2023.2.40755.

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The object of this study is a service for managing virtual machines in a cloud environment. When developing and operating such a service, it becomes necessary to assess its availability and reliability for compliance with the selected quality level that the client can count on. This paper presents a developed system that allows testing the availability of a cloud service for managing virtual machines. The method of integration with the existing monitoring system at the enterprise using open source software in order to reduce the cost of development and operation is considered. A test case for

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R. Shahrin, M., F. H. Hashim, W. M.D.W. Zaki, A. Hussain, and T. T. Raj. "3D Indoor Mapping System Using 2D LiDAR Sensor for Drones." International Journal of Engineering & Technology 7, no. 4.11 (2018): 179. http://dx.doi.org/10.14419/ijet.v7i4.11.20797.

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Most 3D scanners are heavy, bulky and costly. These are the major factors that make them irrelevant to be attached to a drone for autonomous navigation. With modern technologies, it is possible to design a simple 3D scanner for autonomous navigation. The objective of this study is to design a cost effective 3D indoor mapping system using a 2D light detection and ranging (LiDAR) sensor for a drone. This simple 3D scanner is realised using a LiDAR sensor together with two servo motors to create the azimuth and elevation axes. An Arduino Uno is used as the interface between the scanner and comput

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Ma, Kang, Jun Liu, Hai Tao Liu, Tao Wei, and Jian Su. "The Realization of a Highly Modulized Open-Ended Distribution System Comprehensive Planning Platform Compatible with CIM Model." Advanced Materials Research 805-806 (September 2013): 1065–72. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1065.

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This paper introduces key features and the structure of a distribution network comprehensive planning platform as well as the functions and algorithms of core modules. The platform has a number of features, some of which are innovation points: 1) it provides a unified data interface compatible with IEC61968-based CIM model; 2) it adopts an effective algorithm that diagnoses and corrects input data of a relatively poor quality; 3) It converts CIM-based data into data based on calculation models, so that the calculation modules can analyze them. 4) Its reliability analysis module uses an algorit

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Panagea, Ioanna, Dangol Anuja, Marc Olijslagers, Jan Diels, and Guido Wyseure. "Monitoring Cropping Systems: From Data Collection to Cloud Database Storage Using Open Source Software." Proceedings 30, no. 1 (2020): 79. http://dx.doi.org/10.3390/proceedings2019030079.

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Agricultural cropping systems and experiments include complex interactions of processes and various management practices and/or treatments under a wide range of environmental and climatic conditions. The use of standardized formats to monitor and document these systems and experiments can help researchers and stakeholders to efficiently exchange data, promote interdisciplinary collaborations, and simplify modelling and analysis procedures. In the scope of the SoilCare Horizon 2020 project monitoring and assessment work package, an integrated scheme to collect, validate, store, and access cropp

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Wilhelm, Erik, Joshua Siegel, Simon Mayer, et al. "CLOUDTHINK: A SCALABLE SECURE PLATFORM FOR MIRRORING TRANSPORTATION SYSTEMS IN THE CLOUD." TRANSPORT 30, no. 3 (2015): 320–29. http://dx.doi.org/10.3846/16484142.2015.1079237.

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We present a novel approach to developing a vehicle communication platform consisting of a low-cost, open-source hardware for moving vehicle data to a secure server, a Web Application Programming Interface (API) for the provision of third-party services, and an intuitive user dashboard for access control and service distribution. The CloudThink infrastructure promotes the commoditization of vehicle telematics data by facilitating easier, flexible, and more secure access. It enables drivers to confidently share their vehicle information across multiple applications to improve the transportation

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Taylor, Louis J., Arwa Abbas, and Frederic D. Bushman. "grabseqs: simple downloading of reads and metadata from multiple next-generation sequencing data repositories." Bioinformatics 36, no. 11 (2020): 3607–9. http://dx.doi.org/10.1093/bioinformatics/btaa167.

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Abstract Summary High-throughput sequencing is a powerful technique for addressing biological questions. Grabseqs streamlines access to publicly available metagenomic data by providing a single, easy-to-use interface to download data and metadata from multiple repositories, including the Sequence Read Archive, the Metagenomics Rapid Annotation through Subsystems Technology server and iMicrobe. Users can download data and metadata in a standardized format from any number of samples or projects from a given repository with a single grabseqs command. Availability and implementation Grabseqs is an

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