Search results for: APACHE SPARK,YARN, BIG DATA, GREEN COMPUTING, SENTINEL, TERA SORT, WORDCOUNT, BENCHMARKS, SCHEDULET - Bridge of Knowledge

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Search results for: APACHE SPARK,YARN, BIG DATA, GREEN COMPUTING, SENTINEL, TERA SORT, WORDCOUNT, BENCHMARKS, SCHEDULET

Search results for: APACHE SPARK,YARN, BIG DATA, GREEN COMPUTING, SENTINEL, TERA SORT, WORDCOUNT, BENCHMARKS, SCHEDULET

  • Berkeley Open Infrastructure for Network Computing

    Publication

    - Year 2012

    Zaprezentowano system BOINC (ang. Berkeley Open Infrastructure for Network Computing) jako interesujące rozwiązanie integrujące rozproszone moce obliczeniowe osobistych komputerów typu PC w Internecie. Przedstawiono zasadę działania opisywanej platformy. W dalszej części zaprezentowano kilka wybranych projektów naukowych wykorzystujących BOINC, które są reprezentatywne w zakresie zastosowania systemu w ujęciu założonego paradygmatu...

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  • Physical Chemistry for Green Technologies summer 2021/22

    e-Learning Courses
    • A. Kloskowski
    • M. Śmiechowski

    Physical Chemistry subject for Green Technologies, Semester IV

  • Mobile Cloud computing architecture for massively parallelizablegeometric computation

    Publication
    • V. Sánchez Ribes
    • H. Mora-Mora
    • A. Sobecki
    • F. José Mora Gimeno

    - COMPUTERS IN INDUSTRY - Year 2020

    Cloud Computing is one of the most disruptive technologies of this century. This technology has been widely adopted in many areas of the society. In the field of manufacturing industry, it can be used to provide advantages in the execution of the complex geometric computation algorithms involved on CAD/CAM processes. The idea proposed in this research consists in outsourcing part of the load to be com- puted in the client machines...

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  • Green, blue and energy in cities

    Publication

    The article refers to the implementation of blue-green infrastructure in cities, with particular emphasis on the aspect of rainwater and energy management. The article presents the advantages of water and greenery in the city and gives examples of engineering solutions used, both the more popular (including green and biosolar roofs), as well as experimental solutions, which are an interesting and necessary alternative in the era...

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  • Client-side versus server-side geographic data processing performance comparison: Data and code

    Publication

    - Data in Brief - Year 2019

    The data and code presented in this article are related to the research article entitled “Analysis of Server-side and Client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and Geoportal” (Kulawiak et al., 2019). The provided 12 datasets include multi-point and multi-polygon data of different scales and volumes, representing real-world geographic features. The datasets cover the area...

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  • High performance filtering for big datasets from Airborne Laser Scanning with CUDA technology

    Publication

    - SURVEY REVIEW - Year 2018

    There are many studies on the problems of processing big datasets provided by Airborne Laser Scanning (ALS). The processing of point clouds is often executed in stages or on the fragments of the measurement set. Therefore, solutions that enable the processing of the entire cloud at the same time in a simple, fast, efficient way are the subject of many researches. In this paper, authors propose to use General-Purpose computation...

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  • Complementary oriented allocation algorithm for cloud computing

    Publication

    Nowadays cloud computing is one of the most popular processing models. More and more different kinds of workloads have been migrated to clouds. This trend obliges the community to design algorithms which could optimize the usage of cloud resources and be more effiient and effective. The paper proposes a new model of workload allocation which bases on the complementarity relation and analyzes it. An example of a case of use is shown...

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  • An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques

    Publication

    - COMPLEXITY - Year 2018

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  • Affective computing and affective learning – methods, tools and prospects

    Every teacher knows that interest, active participation and motivation are important factors in the learning process. At the same time e-learning environments almost always address only the cognitive aspects of education. This paper provides a brief review of methods used for affect recognition, representation and processing as well as investigates how these methods may be used to address affective aspect of e-education. The paper...

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  • History and Milestones of Green Analytical Chemistry

    Due to the increased environmental consciousness, Green Analytical Chemistry (GAC) is an important concept steadily gaining popularity, as its implementation facilitates the decrease the detrimental effect analytical chemistry methodologies may have on the environment. In this chapter, a brief overview of the history of Green Analytical Chemistry (GAC) and its milestones was given. Emphasis has been put on the beginnings of green...

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  • The implementation of green transformation through clusters

    Publication

    - ECOLOGICAL ECONOMICS - Year 2023

    The paper addresses a poorly documented issue in the literature, namely the role of clusters in green transformation, including processes related to green, low-carbon, and circular economies. The purpose was to identify and understand the practices of clusters in this area. The adopted mixed research strategy consisted of both qualitative and quantitative research. Both research phases were conducted in a group of Polish Key National...

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  • Green Sample Collection

    Publication

    The term of “green sample collection” is directly associated with both passive and dynamic analytical tools which allow for simultaneous management of the stage of collection and isolation and/or enrichment of a broad spectrum of chemical compounds from environmental samples. The use of passive sampling techniques at the stage of sample collection makes it possible to obtain in a simple yet inexpensive manner an analytical information...

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  • Performance of Noise Map Service Working in Cloud Computing Environment

    In the paper a noise map service designated for the user interested in environmental noise subject is presented. It is based on cloud computing. Noise prediction algorithm and source model, developed for creating acoustic maps, are working in cloud computing environment. In the study issues related to noise modeling of sound propagation in urban spaces are discussed with a special focus on road noise. Examples of results obtained...

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  • A Human Behaviour Model Agent for Testing of Voluntary Computing Systems

    Publication

    - Year 2014

    Paper presents a design and performance of a voluntary-based distributed computing system testing agent, implementing a human behaviour model. The agent, nicknamed iRobot, was designed and implemented to enable controlled, large scale testing of core algorithms of Comcute - a new voluntary distributed computing platform complementary to BOINC. The main agent design goals were: emulation of human behaviour when browsing web pages,...

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  • Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments

    The paper presents state of the art of energy-aware high-performance computing (HPC), in particular identification and classification of approaches by system and device types, optimization metrics, and energy/power control methods. System types include single device, clusters, grids, and clouds while considered device types include CPUs, GPUs, multiprocessor, and hybrid systems. Optimization goals include various combinations of...

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  • Green analytical chemistry : theory and practice

    This tutorial review summarises the current state of green analytical chemistry with special emphasis on environmentally friendly sample preparation techniques. Green analytical chemistry is a part of the sustainable development concept; its history and origins are described. Miniaturisation of analytical devices and shortening the time elapsing between performing analysis and obtaining reliable analytical results are important...

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  • Investigation of educational processes with affective computing methods

    Publication

    This paper concerns the monitoring of educational processes with the use of new technologies for the recognition of human emotions. This paper summarizes results from three experiments, aimed at the validation of applying emotion recognition to e-learning. An analysis of the experiments’ executions provides an evaluation of the emotion elicitation methods used to monitor learners. The comparison of affect recognition algorithms...

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  • Chemometrics for Selection, Prediction, and Classification of Sustainable Solutions for Green Chemistry—A Review

    Publication

    In this review, we present the applications of chemometric techniques for green and sustainable chemistry. The techniques, such as cluster analysis, principal component analysis, artificial neural networks, and multivariate ranking techniques, are applied for dealing with missing data, grouping or classification purposes, selection of green material, or processes. The areas of application are mainly finding sustainable solutions...

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  • A novel approach for processing CaAlSiON glass-ceramics by spark plasma sintering: Mechanical and electrical properties

    Publication

    - JOURNAL OF THE EUROPEAN CERAMIC SOCIETY - Year 2022

    Lithium containing glassy materials can be used as solid electrolytes or electrode materials for lithium-ion batteries due to their high energy density. Conventional melt-quenched Ca11Al14Si16O49N10 glass powder containing 24 e/o N, doped with Li-ions (1, 3, and 6 wt. %) and sintered by spark plasma sintering technique (SPS) was studied. The benefits of using SPS to produce glass-ceramics are rapid heating rates compared to conventional...

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  • Calibration of precipitation estimation algorithm with particular emphasis on the Pomeranian region using high performance computing

    Publication

    Fast and accurate precipitation estimation is an important element of remote atmosphere monitoring, as it allows, for example, to correct short-term weather forecasts and the prediction of several types of meteorological threats. The paper presents methodology for calibrating precipitation estimation algorithm based on MSG SEVIRI sensor data, and Optimal Cloud Analysis product available via EumetCast transmission. Calibration is...

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  • Green chromatography

    Analysis of organic compounds in samples characterized by different composition of the matrix is very important in many areas. A vast majority of organic compound determinations are performed using gas or liquid chromatographic methods. It is thus very important that these methods have negligible environmental impact. Chromatographic techniques have the potential to be greener at all steps of the analysis, from sample collection...

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  • Metrics for green analytical chemistry

    Publication

    Green analytical chemistry, although not being a new concept, does not have a greenness metrics system. Green chemistry metrics are not suitable for analytical procedure assessment because they often refer to the mass of the product. Some efforts have been made to develop suitable metrics for analytical chemistry. Some are simple to use but do not cover all aspects of analytical methods’ environmental impact. Others are more comprehensive...

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  • Application of Web-GIS and Cloud Computing to Automatic Satellite Image Correction

    Publication

    - Year 2016

    Radiometric calibration of satellite imagery requires coupling of atmospheric and topographic parameters, which constitutes serious computational problems in particular in complex geographical terrain. Successful application of topographic normalization algorithms for calibration purposes requires integration of several types of high-resolution geographic datasets and their processing in a common context. This paper presents the...

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  • Deep eutectic solvents – based green absorbents for effective volatile organochlorine compounds removal from biogas

    Volatile organochlorine compounds (VOXs) presented in biogas can cause many technological and environmental problems. During the combustion of biogas containing VOXs, the corrosion of installation, as well as the formation of toxic by-products (polyhalogenated dioxins and furans) and further emission to the atmosphere, may occur. Therefore, in this study, a new procedure based on physical absorption was developed. In order to meet...

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  • Green Therapy w projektowaniu ośrodków medycznych Green Therapy in complex design of health centres

    Publication

    Koncepcja przestrzenna ogrodu terapeutycznego podporządkowana jest generalnej idei otwierania się projektantów na poszukiwanie nowych możliwości poprawy samopoczucia odbiorcy - poprzez zapewnienie użytkownikom poczucia bezpieczeństwa, komfortu i odprężenia, harmonii. Dotyczy to nie tylko grupy osób chorych, które dręczone są przez niepokoje i napięcia wywołane przez niepełnosprawność czy chorobę, ale także pacjentów w różnym wieku...

  • Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City

    Publication

    - Year 2019

    Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced...

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  • Parallel multithread computing for spectroscopic analysis in optical coherence tomography

    Spectroscopic Optical Coherence Tomography (SOCT) is an extension of Optical Coherence Tomography (OCT). It allows gathering spectroscopic information from individual scattering points inside the sample. It is based on time-frequency analysis of interferometric signals. Such analysis requires calculating hundreds of Fourier transforms while performing a single A-scan. Additionally, further processing of acquired spectroscopic information...

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  • Developments in Green Chromatography

    Publication

    Green analytical chemistry is a widely recognized concept that has led to the development of new analytical methods with reduced environmental impact and minimized analyst occupational exposure. Achievements include the development of microextraction, ultrasound-assisted extraction (UAE), and microwave-assisted extraction (MAE) techniques. Research towards greener separation processes focuses on the elimination of toxic solvents...

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  • Green Organic Technologies

    e-Learning Courses
    • A. Skwierawska

  • Green analytical chemistry metrics: A review

    Green analytical chemistry encourages reducing the use of toxic chemicals/reagents, using energy-efficient equipment, and generating minimal waste. The recent trends in analytical method development focus on the miniaturization of the sample preparation devices, the development of solventless or solvent-minimized extraction techniques, and the utilization of less toxic solvents. The twelve principles of GAC serve as a basic guideline...

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  • Three-dimensional geographically weighted inverse regression (3GWR) model for satellite derived bathymetry using Sentinel-2 observations

    Publication

    - MARINE GEODESY - Year 2018

    Current trends of development of satellite derived bathymetry (SDB) models rely on applying calibration techniques including analytical approaches, neuro-fuzzy systems, regression optimization and others. In most of the cases, the SDB models are calibrated and verified for test sites, that provide favourable conditions for the remote derivation of bathymetry such as high water clarity, homogenous bottom type, low amount of sediment...

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  • Effect of Porosity on the Thermo-Mechanical Behavior of Friction-Stir-Welded Spark-Plasma-Sintered Aluminum Matrix Composites with Bimodal Micro- and Nano-Sized Reinforcing Al2O3 Particles

    Publication
    • B. Sadeghi
    • B. Sadeghian
    • A. Taherizadeh
    • A. Laska
    • P. Cavaliere
    • A. Gopinathan

    - Metals - Year 2022

    The thermo-mechanical behavior of nanosized Al2O3 particles reinforcing aluminum was analyzed in the present paper. The material was prepared by spark plasma sintering and friction stir welding. The thermal stresses affecting the composite behavior during welding were modeled through COMSOL MultiPhysics, and the results were validated by the analyses of the composites’ mechanical properties. The spark-plasma-sintered materials...

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  • Green Polymer Nanocomposites for Skin Tissue Engineering

    Publication

    - ACS Applied Bio Materials - Year 2022

    Fabrication of an appropriate skin scaffold needs to meet several standards related to the mechanical and biological properties. Fully natural/green scaffolds with acceptable biodegradability, biocompatibility, and physiological properties quite often suffer from poor mechanical properties. Therefore, for appropriate skin tissue engineering and to mimic the real functions, we need to use synthetic polymers and/or additives as complements...

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  • Mobile devices and computing cloud resources allocation for interactive applications

    Using mobile devices such as smartphones or iPads for various interactive applications is currently very common. In the case of complex applications, e.g. chess games, the capabilities of these devices are insufficient to run the application in real time. One of the solutions is to use cloud computing. However, there is an optimization problem of mobile device and cloud resources allocation. An iterative heuristic algorithm for...

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  • BeesyCluster as Front-End for High Performance Computing Services

    Publication

    - TASK Quarterly - Year 2015

    The paper presents the BeesyCluster system as a middleware allowing invocation of services on high performance computing resources within the NIWA Centre of Competence project. Access is possible through both WWW and SOAP Web Service interfaces. The former allows non-experienced users to invoke both simple and complex services exposed through easyto-use servlets. The latter is meant for integration of external applications with...

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  • Teaching High Performance Computing Using BeesyCluster and Relevant Usage Statistics

    Publication

    - Year 2014

    The paper presents motivations and experiences from using the BeesyCluster middleware for teaching high performance computing at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. Features of BeesyCluster well suited for conducting courses are discussed including: easy-to-use WWW interface for application development and running hiding queuing systems, publishing applications as services...

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  • Mobile Offloading Framework: Solution for Optimizing Mobile Applications Using Cloud Computing

    Publication

    Number of mobile devices and applications is growing rapidly in recent years. Capabilities and performance of these devices can be tremendously extended with the integration of cloud computing. However, multiple challenges regarding implementation of these type of mobile applications are known, like differences in architecture, optimization and operating system support. This paper summarizes issues with mobile cloud computing and...

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  • Don't forget the dark side of green transformation

    Publication

    - Year 2022

    Design/methodology/approach – The study is a continuation of the research by Durst and Zieba (2019) related to knowledge risks and their potential outcomes. This present study makes an update on the literature on knowledge risks and green transformation and describes knowledge risks that can be faced in this process. Originality/value – The paper offers new insights for researchers dealing with the topic of knowledge risks in...

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  • CNN-CLFFA: Support Mobile Edge Computing in Transportation Cyber Physical System

    Publication
    • A. Bhansali
    • R. Kumar Patra
    • P. Bidare Divakarachari
    • P. Falkowski-Gilski
    • G. Shivakanth
    • S. N. Patil

    - IEEE Access - Year 2024

    In the present scenario, the transportation Cyber Physical System (CPS) improves the reliability and efficiency of the transportation systems by enhancing the interactions between the physical and cyber systems. With the provision of better storage ability and enhanced computing, cloud computing extends transportation CPS in Mobile Edge Computing (MEC). By inspecting the existing literatures, the cloud computing cannot fulfill...

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  • Journal of Big Data

    Journals

    eISSN: 2196-1115

  • Data Analytics Meeting

    Events

    17-05-2024 08:30 - 18-05-2024 15:00

    Data Analytics Meeting Konferencja studentów i doktorantów

  • A note on the affective computing systems and machines: a classification and appraisal

    Publication

    - Procedia Computer Science - Year 2022

    Affective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...

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  • Dynamical description of quantum computing: generic nonlocality of quantumnoise

    Publication

    We develop a dynamical non-Markovian description of quantum computing in the weak-coupling limit, in the lowest-order approximation. We show that the long-range memory of the quantum reservoir (such as the 1/t4 one exhibited by electromagnetic vacuum) produces a strong interrelation between the structure of noise and the quantum algorithm, implying nonlocal attacks of noise. This shows that the implicit assumption of quantum error...

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  • Chemometrics approaches to green analytical chemistry procedure development

    Chemometric tools are widely used in analytical chemistry for the reduction of data dimensionality, grouping of variables and processing of analytical signals. They have also the potential to be applied in analytical procedure development with the aim of minimizing the procedure’s environmental impact. The design of experiment gives the possibility to obtain much better information on the system response than in case of “changing...

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  • Green Materials

    Journals

    ISSN: 2049-1220 , eISSN: 2049-1239

  • Green Letters

    Journals

    ISSN: 1468-8417

  • Green Finance

    Journals

    ISSN: 2643-1092

  • Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems

    Publication

    Volunteer computing systems provide a middleware for interaction between project owners and great number volunteers. In this chapter, a genetic programming paradigm has been proposed to a multi-objective scheduler design for efficient using some resources of volunteer computers via the web. In a studied problem, genetic scheduler can optimize both a workload of a bottleneck computer and cost of system. Genetic programming has been...

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  • Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data

    Publication

    Inundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...

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  • Flexible syngas-biogas-hydrogen fueling spark-ignition engine behaviors with optimized fuel compositions and control parameters

    Publication
    • V. G. Bui
    • T. M. T. Bui
    • V. N. Tran
    • Z. Huang
    • A. T. Hoang
    • W. Tarełko
    • V. H. Bui
    • X. M. Pham
    • P. Q. P. Nguyen

    - INTERNATIONAL JOURNAL OF HYDROGEN ENERGY - Year 2023

    This paper presents the results research on the optimal fuel compositions and the control parameters of the spark ignition engine fueled with syngas-biogas-hydrogen for the purpose of setting up a flexible electronic control unit for the engine working in a solar-biomass hybrid renewable energy system. In syngas-biogas-hydrogen mixture, the optimal content of hydrogen and biogas is 20% and 30%, respectively. Exceeding these thresholds,...

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