bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measurement and analysis of high-frequency voltage errors in the Josephson arbitrary waveform synthesizer
Authors: Kraus M , Drung D , Behr R , Palafox L , Kieler O , Bauer S , Herick J 
Published: July 2020

Abstract
This paper reports on the comparison of two Josephson arbitrary waveform synthesizers for frequencies up to 500 kHz. Both independent pulse-driven Josephson arrays produce a 10 mV RMS sinusoidal voltage. They are alternately connected to an analog-to-digital converter which serves as a transfer standard. The setup is capable to of synthesizing quantum-based waveforms using two different pulse-bias techniques. We use the Zero-Compensation method and a two-pole high-pass filter structure in the pulse-bias configuration of one system (the reference) to minimize the amplitude error for signal frequencies up to 500 kHz. Consequently, we are able to directly detect the high-frequency voltage errors in the other system (the device under test). The setup is used to measure differences between both systems, and the influence of parameter variation on the results with Type A uncertainties of 0.4 µV/V (k = 1) in measurement times of 60 s. We find that the dominant sources of deviations above 10 kHz can be traced to the influence of the output cabling and the pulse bias on the synthesized voltage signal. Our analysis explains the origin and the reduction of these high-frequency voltage errors.
Dense multi-scale entropy and it’s application in mechanical fault diagnosis
Authors: Zhao Dongfang , Liu Shulin , Cheng Shouguo , Sun Xin , Wang Lu , Wei Yuan , Zhang Hongli 
Published: July 2020

Abstract
Multi-scale entropy (MSE) is a widely recognized feature extraction approach to mechanical fault diagnosis, for it can effectively estimate the complexity of nonlinear time series. For MSE algorithm, due to the sensitivity of entropy estimation on series length, the scale factors are often required to be limited to a small range. Nevertheless, in the existing MSE methods, the scale factors can only be set to positive integers with a fixed minimum step size, which may result in insufficient analysis precision and cannot provide high-quality feature vectors with sufficient eigenvalues for intelligent diagnosis in the limited scale range. In view of the above defects, this paper subdivides the scale factors and proposes dense multi-scale entropy. In the suggested method, the number of data points in the raw sequence is expanded on the premise of guaranteeing the characteristics of the original series. Based on this, the timescale of the original series is refined and more intensive scale factors with higher precision can be provided. The superiority of the method developed in this work is verified by using CWRU bearing and reciprocating compressor gas valve fault data sets, and the results indicate that the method of this paper can provide more precise analysis scale and feature vectors with higher quality for intelligent diagnosis.
Ge quantum wire memristor
Authors: Böckle R , Sistani M , Staudinger P , Seifner M S , Barth S , Lugstein A 
Published: July 2020

Abstract
Despite being known of for decades, the actual realization of memory devices based on the memristive effect is progressing slowly, due to processing requirements and the need for exotic materials which are not compatible with today’s complementary-metal-oxide-semiconductor (CMOS) technology. Here, we report an experimental study on a Ge quantum wire device featuring distinct signatures of memristive behavior favorable for integration in CMOS platform technology. Embedding the quasi-1D Ge quantum wire into an electrostatically modulated back-gated field-effect transistor, we demonstrate that individual current transport channels can be addressed directly by controlling the surface trap assisted electrostatic gating. The resulting quantization of the current represents the ultimate limit of memristors with practically zero off-state current and low footprint. In addition, the proposed device has the advantage of non-destructive successive reading cycles capability. Importantly, our findings provide a framework towards fully CMOS compatible ultra-scaled Ge based memristors.
Effect of 3D printing raster angle on reversible thermo-responsive composites using PLA/paper bilayer
Authors: Shin Sanghun , So Hongyun 
Published: July 2020

Abstract
In this study, an efficient fabrication method to realize a reversible thermo-responsive composite (TRC) and the effect of raster angle were investigated. For the facile fabrication of reversible TRCs, polylactic acid and commercial printing paper were used to generate a polymer/paper bilayer. Using the fused deposition modeling method of three-dimensional printing, three types of TRCs were fabricated and compared depending on the printing angle condition. Above the glass transition temperature, the polymer is relaxed, allowing straightening by the constraining paper layer; subsequently, it recovers its initial shape during cooling. Because the deposited filament arrays shrank in the longitudinal direction and expanded in another direction during heating, the raster angle was considered for better actuating performance. Thus, horizontal-type TRCs exhibited a greater range of average actuating performance compared with vertical-type TRCs (up to ∼24.7% increase in changing rate). Hence, this study supports a rapid, low-cost, and efficient fabrication method for soft robotics applications, including smart devices, grippers, and actuators.
Dynamic loss and magnetization loss of HTS coated conductors, stacks, and coils for high-speed synchronous machines
Authors: Zhang Hongye , Machura Philip , Kails Kevin , Chen Hongyi , Mueller Markus 
Published: July 2020

Abstract
Dynamic loss is an essential parameter to consider for the design of high temperature superconducting (HTS) synchronous machine windings. For aerospace electric propulsion systems, the fundamental frequency component and harmonics in electric machines can attain kHz level because of the high rotating speed. However, for HTS coated conductors (CC), the existing definition of dynamic loss only considers the HTS layer, the validity of which at high frequencies is questionable. Besides, the variation of dynamic loss and magnetization loss under skin effect due to high frequency is still unknown. Additionally, the influence of shielding effects among distinct turns on the dynamic loss of HTS stacks and coils remains unclear. In response to the above concerns, by use of the
H
-formulation based numerical multilayer modelling method which considers all layers of a CC, the frequency dependence of dynamic loss and magnetization loss of HTS CCs, stacks and coils over a wide range up to 20 kHz has been investigated. Results show that the existing definition of the dynamic region is no longer valid at kHz level, which shrinks rapidly with increasing frequency and magnetization loss plays a progressively important role due to skin effect. Meanwhile, the shielding effect in HTS stacks and coils can enhance the significance of dynamic loss. This paper clarifies the characteristics of dynamic loss and magnetization loss of HTS CCs, stacks, and coils over a wide frequency band, which can serve as a useful reference for accurate loss controlling of machine windings in future aerospace HTS propulsion systems.
A New Visual Analytics Toolkit for ATLAS Computing Metadata
Authors: Grigorieva M A , Alekseev A A , Galkin T P , Klimentov A A , Korchuganova T A , Milman I E , Padolski S V , Pilyugin V V , Titov M A 
Published: July 2020

Abstract
The ATLAS experiment at the Large Hadron Collider has a complex heterogeneous distributed computing infrastructure, which is used to process and analyse exabytes of data. Metadata are collected and stored at all stages of data processing and physics analysis. All metadata could be divided into operational metadata to be used for the quasi on-line monitoring, and archival to study the behaviour of corresponding systems over a given period of time (i.e. long-term data analysis). Ensuring the stability and efficiency of complex and large-scale systems, such as those in the ATLAS Computing, requires sophisticated monitoring tools, and the long-term monitoring data analysis becomes as important as the monitoring itself. Archival metadata, which contains a lot of metrics (hardware and software environment descriptions, network states, application parameters, errors) accumulated for more than a decade, can be successfully processed by various machine learning (ML) algorithms for classification, clustering and dimensionality reduction. However, the ML data analysis, despite the massive use, is not without shortcomings: the underlying algorithms are usually treated as “black boxes”, as there are no effective techniques for understanding their internal mechanisms. As a result, the data analysis suffers from the lack of human supervision. Moreover, sometimes the conclusions made by algorithms may not be making sense with regard to the real data model. In this work we will demonstrate how the interactive data visualization can be applied to extend the routine ML data analysis methods. Visualization allows an active use of human spatial thinking to identify new tendencies and patterns found in the collected data, avoiding the necessity of struggling with the instrumental analytics tools. The architecture and the corresponding prototype of Interactive Visual Explorer (InVEx) - visual analytics toolkit for the multidimensional data analysis of ATLAS computing metadata will be presented. The web-application part of the prototype provides an interactive visual clusterization of ATLAS computing jobs, search for computing jobs non-trivial behaviour and its possible reasons.
Poly(ester amide) microspheres are efficient vehicles for long-term intracerebral growth factor delivery and improve functional recovery after stroke
Authors: Memanishvili Tamar , Monni Emanuela , Tatarishivili Jemal , Lindvall Olle , Tsiskaridze Alexander , Kokaia Zaal , Tornero Daniel 
Published: July 2020

Abstract
Growth factors promote plasticity in injured brain and improve impaired functions. For clinical application, efficient approaches for growth factor delivery into the brain are necessary. Poly(ester amide) (PEA)-derived microspheres (MS) could serve as vehicles due to their thermal and mechanical properties, biocompatibility and biodegradability. Vascular endothelial growth factor (VEGF) exerts both vascular and neuronal actions, making it suitable to stimulate post-stroke recovery. Here, PEA (composed of adipic acid, L-phenyl-alanine and 1,4-butanediol) MS were loaded with VEGF and injected intracerebrally in mice subjected to cortical stroke. Loaded MS provided sustained release of VEGF in vitro and, after injection, biologically active VEGF was released long-term, as evidenced by high VEGF immunoreactivity, increased VEGF tissue levels, and higher vessel density and more NG2+ cells in injured hemisphere of animals with VEGF-loaded as compared to non-loaded MS. Loaded MS gave rise to more rapid recovery of neurological score. Both loaded and non-loaded MS induced improvement in neurological score and adhesive removal test, probably due to anti-inflammatory action. In summary, grafted PEA MS can act as efficient vehicles, with anti-inflammatory action, for long-term delivery of growth factors into injured brain. Our data suggest PEA MS as a new tool for neurorestorative approaches with therapeutic potential.
The Swiss Data Cube: Earth Observations for monitoring Switzerland’s environment in space and time
Authors: Giuliani Gregory , Peduzzi Pascal , Chatenoux Bruno , Richard Jean-Philippe , Poussin Charlotte , Schaepman Michael , Small David , Steinmeier Charlotte , Psomas Achilleas , Ginzler Christian 
Published: July 2020

Abstract
Pressures on natural resources are increasing and a number of challenges need to be overcome to meet the needs of a growing population in a period of environmental variability. The key to sustainable development is achieving a balance between the exploitation of natural resources for socioeconomic development and maintaining ecosystem services that are critical to human’s wellbeing and livelihoods. Some of these environmental issues can be monitored using remotely sensed Earth Observations (EO) data that are increasingly available from freely and openly accessible repositories. Hereafter, we present the Swiss Data Cube, a unique Analysis Ready Data archive of satellite imagery and some use cases to monitor Sustainable Development Goals.
The ICOS Atmosphere use case: from raw data to knowledge of societal relevance
Authors: Hellström M , Karstens U , Pantazatou K , Vermeulen A , Smith N 
Published: July 2020

Abstract
In order to effectively tackle the on-going changes in global climate, stakeholders and policy makers across the globe need timely and accurate information they can trust on a wide range of topics. Here we briefly describe how observational data on greenhouse gas concentrations collected from the ICOS network of measurement stations in Europe is transformed via atmospheric modelling into information on how emission and uptake of greenhouse gases vary over time and space, and interpreted by experts to create knowledge usable by decision makers.
Quality Assessment of Semantic Tags in OpenStreetMap
Authors: Hoffmann E J , Werner M , Zhu X X 
Published: July 2020

Abstract
A comprehensive understanding of urban areas includes deep knowledge about locations and functions of buildings within. In most developed countries cadastral data is available for this research, but from a global perspective the only free and comprehensive data source is OpenStreetMap (OSM).
For this study we selected 42 cities across the globe covering a wide range of climate zones as well as cultures and assess the accuracy of building function labels in OSM indirectly by comparing them to Google Places. We state that points-of-interest (POIs) are reasonably covered in Google Places due to a large number of users and a business perspective driving its development. We study how many semantic building tags are in accordance with the proposed scheme by OSM. In this regard Los Angeles has the best coverage, followed by Amsterdam and Cologne. In Melbourne, Paris, and Sydney we find the most matching building functions of OSM and Google Places.
In summary, we conclude that OSM is not ready to provide ground truth labels for each place on the globe, but can serve as a powerful and rich label source in selected study areas. Our study gives a first insight where obtaining training labels from OSM is a valid and reliable approach.
Data cities and astrospatial architecture: An urban ethos from electromagnetic fluxes
Authors: Jackson D 
Published: July 2020

Abstract
Light remains the origin and sustenance of all forms of life on Earth—but human living is being transformed by ingenious applications of astrospatial technologies that were devised to fly to other planets. This century’s networked architectures of semiconductors, satellites, scanners and sensors manipulate diverse electromagnetic frequencies to convert light into unprecedented formats and contents of data that are destined to inform most human behaviours in future. Telematics and informatics are taking our civilisation far beyond the milieu of modernism enabled by Edison’s 1879 demonstration of electric incandescence, and the transmillennial ‘digital age’ underpinned by portable computers and mobile telephony.
GF5-Based Water Quality Monitoring of East Dongting Lake, China
Authors: Zhang Qing , Zhou Mei , Li Qingli , Sun Li , Hu Menghan , Qiu Song 
Published: July 2020

Abstract
Water quality monitoring is not only the basis for effective comprehensive management of water environment and control of water pollution, but also an important basis for risk assessment of algal blooms and construction of ecological safety. In this study, we used GF5-Advanced Hyperspectral Imager (AHSI) products to monitor the water quality of East Dongting Lake in winter. Through analyzing the obtained spectral reflectance, we calibrated our empirical models for retrieving the water quality parameters including chlorophyll a (Chl-a) concentration, total suspended matter (TSM) concentration and transparency (Secchi disk depth: SDD). This study preliminarily confirmed the potential of GF5-AHSI images in retrieving water quality parameters and could provide some useful information for the local environmental protection departments and Dongting Lake researchers.
HUSH app: digital tools to explore the natural patrimony of urban areas
Authors: Liucci L , Bianchini G , Fanò L , Melelli L , Nazzareni S , Perugini D , Spiga D , Tedeschi T , Vercillo F 
Published: July 2020

Abstract
In recent years, urban trekking and geotourism have gained relevance in the tourism industry. This has been accompanied by an increasing use of digital tools and techniques for developing immersive touristic experiences. The HUSH project aim is to enhance and disseminate the scientific and naturalistic heritage of urban areas by means of a mobile application. The naturalistic and geological components with relevant scientific value are first identified and tagged as Points of Interest (POIs). Then, high quality multimedia contents are created for each of them. Using the HUSH app and implementing Augmented Reality techniques, users can explore these contents by framing the POIs with their device. They can decide which POIs they want to visit by using keyword-search, by selecting a predefined path or by means of ‘intelligent search’, which applies data mining techniques to users’ data. Moreover, they can propose the addition of new POIs by using the Scientific Reporter tool and rate POIs they visit.
Food Security TEP - Supporting sustainable intensification of food production from Space
Authors: Muerth M , Migdall S , Hodrius M , Niggemann F , Holzapfel M , Bach H , Gilliams S , van Roey T , Cuomo A , Harwood P , Pace N , San Miguel Sanchez I , Dean A , Suwala J , Romeo A , Alonso I , Mougnaud P , Volden E 
Published: July 2020

Abstract
The Food Security Thematic Exploitation Platform (TEP) supported by ESA is a cloud platform for the extraction of information from EO data for services in the food security sector. To respond to the needs of its large user community, the platform is developed in an agile mode in close coordination with its users. Thereby it targets to foster smart, data-intensive agricultural and aquacultural applications in the scientific, private and public domain. During the first two years of platform development, the Food Security TEP project team has deployed a number of service pilot applications. This paper presents those focusing on the support of micro-financing and irrigation for African farmers and on supporting coastal aquaculture development in Africa.
Development of a tool for automatic bare soil detection from multitemporal satellite optical imagery for digital soil mapping applications
Authors: Mzid N , Pignatti S , Pascucci S , Huang W , Casa R 
Published: July 2020

Abstract
Understanding the variability of soil attributes allows to improve the farm production efficiency, accompanied by a reduction in environmental impacts and effective usage of resources. Several studies confirmed the potential of optical remote sensing data for quantifying soil attributes, such as clay content, soil organic carbon and texture classes A challenging issue in spatial-temporal soil surveying by remote sensing data is the limited availability of cloud-free images or affected by cloud/shadow. Further, imagery with high temporal resolution is extremely important for observing terrestrial surfaces. This study investigates the use of multispectral (Sentinel-2 MSI) satellite imagery at the regional/local scale, for the automated detection of agricultural bare soil occurrence, exploiting bands covering the spectral range from visible to shortwave infrared. The study objective is to provide bare soil time series that could be subsequently exploited in digital soil mapping (DSM) approaches based on multispectral or, also in view of the next future missions, hyperspectral remote sensing data.
3D Building modelling Reconstruction for Sustainable Safeguarding Native Malay Urban Architectural in Malaysia
Authors: Mohd Noor Norzailawati , Afiq Aiman Abdullah Ahmad , Abdullah Alias 
Published: July 2020

Abstract
Documentary works through the three dimensional reconstruction are the key part of our documentation system for cultural heritage conservation. It preserve and safeguarding all the visual information in order to provide access to future generations is at the core of the work of libraries globally. This paper attempt to reconstruct 3D GIS modelling for an indigenous Malay cities based on urban traditional settlement urban forms element known as building. Four building aspects of Malay settlements have been demonstrated at the selected genuine old traditional Malay settlement located at Kota Bahru Malaysia. 3D building Modelling has been performed based on building footprint that has been obtained from the data collected through integration of photogrammetry and GIS approach. The process of reconstruction animated urban features based on four main building aspects consist of height, surface, façade and location of the Malay settlements. The finding shows that, the elements of urban form based on building aspects has been proven as a part of basic fundamental to recognize the pattern of native Malay urban architectural and its clearly proven through the 3D GIS Modelling reconstruction that has been performed through both approached of drone and laser scanning data processing. This work in other way shows the effectiveness of geospatial data in safeguarding our cultural heritage simultaneously supporting the mission of sustainable goals developments in local and global.
Assessment and comparison of landslide susceptibility at open-pit mines in North Korea using GIS
Authors: Myeongchan Oh , Yang Aran , Koo YoungHyun , Park Hyeong-Dong 
Published: July 2020

Abstract
North Korea has abundant mineral resources and a significant number of mines, however, their infrastructures need to be renewed because they are old and inefficient. Before constructing new infrastructures or renovating existing ones near the mines, it is essential to assess the landslide susceptibility. Satellite images and digital elevation map (DEM) could be an effective tool to estimate landslide risk. In this study, the slope stabilities of five open-pit mines in North Korea are assessed from satellite images from ArcGIS basemap, ASTER GDEM and DIVA-GIS data. Landslide susceptibility and dangerous area are assessed using GIS analysis tools such as slope and aspect. From these multi-criteria GIS analysis, relative slope stabilities and landslide susceptibilities of each mine are estimated and compared. This study is expected to be utilized as fundamental information when planning for the development of infrastructures near the open-pit mines in North Korea.
SeaDataNet, an enhanced ocean data infrastructure giving services to scientists and society
Authors: Pecci L , Fichaut M , Schaap D 
Published: July 2020

Abstract
Access to reliable and harmonised, large quantity of data has become a key topic in different fields, especially in the oceanographic sector where the cost of data sampling is very high. A huge amount of high quality marine data not only provides a basis for estimating the likelihood of occurrence of various kinds of environmental problems, but also helps to make relevant decisions about potential uses of the oceans such as renewable-energy development, aquaculture, etc. Thus, it is important to collect and make available high quality and interoperable ocean and marine observations, both at local and at global scale over several years, this is the main objective of the SeaDataNet e-infrastructure.