The field of Energy System Analysis (ESA) has experienced exponential growth in the number of publications since at least the year 2000. This paper presents a comprehensive bibliometric analysis on ESA by employing di...
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As 5G networks rolling out in many different countries nowadays, the time has come to investigate how to upgrade and expand them towards 6G, where the latter is expected to realize the interconnection of everything as...
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The use of GPUs in the automotive sector is a possibility to provide a lot of computing power for complex algorithms required for autonomous driving. In order to be able to make statements about the real-time capabili...
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The use of GPUs in the automotive sector is a possibility to provide a lot of computing power for complex algorithms required for autonomous driving. In order to be able to make statements about the real-time capability of algorithms, it is necessary to be able to make precise statements about the runtime behavior. This work deals with the execution time of instructions on the NVIDIA Drive PX2 evaluation platform designed for an automotive environment. It is to be shown what influence block and warp variables have on execution times and whether these values can be used to estimate the total runtime of algorithms. This provides a deeper insight into the functionality of the modern Pascal architecture.
Leather industry is facing new trends on production and consumption patterns due to society *** economy is proposing a transition from the current economic model to a more sustainable one,in which waste is designed ou...
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Leather industry is facing new trends on production and consumption patterns due to society *** economy is proposing a transition from the current economic model to a more sustainable one,in which waste is designed out and resources will be reused and recycled as long as *** this transition,Life Cycle Assessment(LCA)is an important tool to help *** the present review,39 English-written peer-reviewed papers related to LCA and leather have been found,30 of which were published in the last 6 years,meaning LCA is nowadays an important *** are presented within 4 types,focused on:1)the whole leather production process,2)a single step in the production process(e.g,new technologies for unhairing),3)waste treatment and recycling,and 4)life cycle thinking with ideas on long-term strategies for leather *** discussed in the literature review,leather industry has important challenges to address:increasing sustainability and transparency on the supply chain,and strengthening the beauty of *** up these challenges from a life cycle perspective will help leather industry flourish in the coming future.
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is r...
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.
The advent of information and communication technology and the Internet of Things have led our society toward a digital *** proliferation of personal computers,smartphones,intelligent autonomous sensors,and pervasive ...
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The advent of information and communication technology and the Internet of Things have led our society toward a digital *** proliferation of personal computers,smartphones,intelligent autonomous sensors,and pervasive network interactions with individuals have gradually shifted human activities from offline to online and from in person to *** transformation has brought a series of challenges in a variety of fields,such as the dilemma of placelessness,some aspects of timelessness(no time relevance),and the changing relevance of distance in the field of geographic information science(GIscience).In the last two decades,“cyber thinking”in GIscience has received significant attention from different *** instance,human activities in“cyberspace”need to be reconsidered when coupled with the geographic space to observe the first law of geography.
The aim of this work is modeling of sway-sloshing motion in a partially filled rectangular tank while different frequency of motions are enforced. Within the study, a CFD code based on Smooth Particle Hydrodynamics (S...
The aim of this work is modeling of sway-sloshing motion in a partially filled rectangular tank while different frequency of motions are enforced. Within the study, a CFD code based on Smooth Particle Hydrodynamics (SPH) approach is developed for modelling violent free surface flows. The code is parallelized in order to run efficiently in supercomputers to solve complex flow phenomenon occurs in the cargo and fuel tanks of ships with a high resolution. It is shown that numerical results of the proposed SPH scheme are in good agreement with experimental and numerical findings of the literature and presently benefits from complex compute nodes of supercomputers.
Future mobility systems are becoming more complex. Existing processes for hardware component oriented development reach a limit for highly integrated systems. High quality cannot be efficiently ensured any longer at s...
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