PeerJ preprints最新文献

{"title":"Mapping ISO metadata standards to codemeta","authors":"T. Habermann","doi":"10.7287/peerj.preprints.27153v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27153v1","url":null,"abstract":"The codemeta project recently proposed a vocabulary for software metadata. ISO Technical Committee 211 has published a set of metadata standards for geographic data and many kinds of related resources, including software. In order for ISO metadata creators and users to take advantage of the codemeta recommendations, a mapping from ISO elements to the codemeta vocabulary must exist. This mapping is complicated by differences in the approaches used by ISO and codemeta, primarily a difference between hard and soft typing of metadata elements. These differences are described in detail and a mapping is proposed that includes sixty-four of the sixty-eight codemeta V2 terms. The codemeta terms have also been mapped to dialects used by twenty-one software repositories, registries and archives. The average number of terms mapped in these cases is 11.2. The disparity between these numbers reflects the fact that many of the dialects that have been mapped to codemeta are focused on citation or dependency identification and management while ISO and codemeta share additional targets that include access, use, and understanding. Addressing this broader set of use cases requires more metadata elements.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"62 1","pages":"e27153"},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85764014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Testing the FAIR metrics on data catalogs","authors":"Jarno A. A. van Erp, C. Langen, Anca Boon, K. V. Bochove","doi":"10.7287/peerj.preprints.27151v2","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27151v2","url":null,"abstract":"The introduction of the FAIR –Findable, Accessible, Interoperable, Reusable– principles has caused quite an uproar within the scientific community. Principles which, if everyone adheres to them, could result in new, revolutionary ways of performing research and fulfill the promise of open science. Furthermore, it allows for concepts such as personalized medicine and personal health monitoring to -finally- become implemented in daily practice.\u0000 However, to bring about these changes, data users need to rethink the way they treat scientific data. Just passing a dataset along, without extensive metadata will not suffice anymore. Such new ways of executing research require a significantly different approach from the entire scientific community or, for that matter, anyone who wants to reap the benefits from going FAIR.\u0000 Yet, how do you initiate behavioral change? One important solution is by changing the software scientists use and requiring data owners, or data stewards, to FAIRify their dataset. Data catalogs are a great starting point for FAIRifying data as the software already intends to make data Findable and Accessible, while the metadata is Interoperable and relying on users to provide sufficient metadata to ensure Reusability. In this paper we analyse how well the FAIR principles are implemented in several data catalogs.\u0000 To determine how FAIR a catalog is, the FAIR metrics were created by the GO-FAIR initiative. These metrics help determine to what extend data can be considered FAIR. However, the metrics were only recently developed, being first released at the end of 2017. At the moment software does not come standard with a FAIR metrics review. Still, this insight is highly desired by the scientific community. How else can they be sure that (public) money is spend in a FAIR way?\u0000 The Hyve has tested/evaluated three popular open source data catalogs based on the FAIR metrics: CKAN, Dataverse, and Invenio. Most data stewards will be familiar with at least one of these.\u0000 Within this white paper we provide answers to the following questions:\u0000 Which of the three data catalogs performs best in making data FAIR?\u0000 Which data catalog utilizes FAIR datasets the most?\u0000 Which one creates the most FAIR metadata?\u0000 Which catalog has the highest potential to increase its FAIRness, and how?\u0000 Which data catalog facilitates the FAIRifying process the best?","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"35 1","pages":"e27151"},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91104783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring genetic programming systems with MAP-Elites","authors":"Emily L. Dolson, Alexander Lalejini, C. Ofria","doi":"10.1007/978-3-030-04735-1_1","DOIUrl":"https://doi.org/10.1007/978-3-030-04735-1_1","url":null,"abstract":"","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"1 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-030-04735-1_1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44065286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What else is in an evolved name? Exploring evolvable specificity with SignalGP","authors":"Alexander Lalejini, C. Ofria","doi":"10.7287/peerj.preprints.27122v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27122v1","url":null,"abstract":"Tags are evolvable labels that provide genetic programs a flexible mechanism for specification. Tags are used to label and refer to programmatic elements, such as functions or jump targets. However, tags differ from traditional, more rigid methods for handling labeling because they allow for inexact references; that is, a referring tag need not exactly match its referent. Here, we explore how adjusting the threshold for how what qualifies as a match affects adaptive evolution. Further, we propose broadened applications of tags in the context of a genetic programming (GP) technique called SignalGP. SignalGP gives evolution direct access to the event-driven paradigm. Program modules in SignalGP are tagged and can be triggered by signals (with matching tags) from the environment, from other agents, or due to internal regulation. Specifically, we propose to extend this tag based system to: (1) provide more fine-grained control over module execution and regulation (e.g., promotion and repression) akin to natural gene regulatory networks, (2) employ a mosaic of GP representations within a single program, and (3) facilitate major evolutionary transitions in individuality (i.e., allow hierarchical program organization to evolve de novo).","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"1 1","pages":"103-121"},"PeriodicalIF":0.0,"publicationDate":"2018-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47533826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anomaly analysis on an open DNS dataset","authors":"B. Aziz, Nikolaos Menychtas, Ammar F. J. Al-Bazi","doi":"10.7287/peerj.preprints.27116v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27116v1","url":null,"abstract":"The increasing availability of open data and the demand to understand better the nature of anomalies and the causes underlying them in modern systems is encouraging researchers to analyse open datasets in various ways. These include both quantitative and qualitative methods. We show here how quantitative methods, such as timeline, local averages and exponentially weighted moving average analyses, led in this work to the discovery of three anomalies in a large open DNS dataset published by the Los Alamos National Laboratory.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"15 1","pages":"e27116"},"PeriodicalIF":0.0,"publicationDate":"2018-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86118011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing DEMs for geomorphometric research through digital filtering","authors":"A. Habib, K. Khoshelham, Nadia Akdim, Fatima-ezzahra El Ghandour, K. Labbassi, M. Menenti","doi":"10.7287/peerj.preprints.27105v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27105v1","url":null,"abstract":"Currently, Digital Elevation Models (DEMs) are the main source for representing Earth’s surface and have been an integral part of any geospatial analysis, in particular, geomorphometric research. Among existing techniques, photogrammetry is considered as a common method for obtaining high-resolution elevation data, especially over large or/and inaccessible areas. However, this DEMs are disposed to a severe amount of uncertainty. The aim of this research is to provide an optimal filtering strategy that can remove possible errors and improve the quality of raw photogrammetric DEMs for geomorphometric research over regions with relatively low relief. Results reveal that a combination of three digital filters, namely Gaussian filter, Median filter, and Slope Based filter, is able to reduce different sources of errors and improve the elevation accuracy of DEM by more than 5%, resulting in improved quality of the derived geomorphometric parameters.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"86 1","pages":"e27105"},"PeriodicalIF":0.0,"publicationDate":"2018-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74471862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust telematics health monitoring and dispatching management system based on IoT and M2M Technologies","authors":"M. Farahpoor, Ebrahim Sabouri","doi":"10.7287/peerj.preprints.27087v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27087v1","url":null,"abstract":"The Internet of Things is a telecommunication phenomenon which has been introduced during these years, wherein every physical thing would be equipped with electronic parts such as transceivers, sensors, Microcontrollers, RFID, actuators, and proper procedures that can make them able to interact with each other and even with the people, turning into an integrated portion of the Internet. The IOT in fact can be used in various areas, including industrial automation, automotive, home automation, transportation and fleet management, medical aids, smart power management, and a lot of other domains and needless to say that is one of the principles and integral parts of smart city and in a comprehensive view smart world. In this paper, first, we introduce our patent called “Intelligent Health Monitoring and Dispatching System (IHMDS)” based on IOT, telematics and M2M technologies for fleet management on construction, mining, and agriculture machinery. Then we will discuss how these type of systems can be used in smart cities and help to urban management. This system has been installed on more than 100 mining equipment (Dump-truck, Excavator, Loader, etc.) in five big iron mines in Iran and helps companies to maximize safety and increase their productivity. IHMDS is an embedded system comprises 5 main parts: sensors, controllers, industrial PC and a touch panel, network transceiver (GPRS/Wi-Fi), and GPS. A cloud-based software which uses GPS coordinates, artificial intelligence methods, queueing theory and shortest path algorithms provides dispatching and maintenance processes.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"1 1","pages":"e27087"},"PeriodicalIF":0.0,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89434534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making computer science results reproducible - A case study using Gradle and Docker","authors":"W. Elmenreich, Philipp Moll, Sebastian Theuermann, M. Lux","doi":"10.7287/peerj.preprints.27082v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27082v1","url":null,"abstract":"This paper addresses two questions related to reproducibility within the context of research related to computer science. First, requirements on reproducibility are analyzed based on a survey addressed to researchers in the academic and private sector. The survey indicates a strong need for open but also easily accessible results, thus reproducing an experiment should not require too much effort. The results from the survey are then used to formulate general guidelines for making research results reproducible. In addition, this paper explores a number of existing software tools that could bring forward reproducibility in research results. After a general analysis of tools a further investigation is done via three case studies based on actual research projects which are used to evaluate the previously introduced tools. Results indicate that due to conflicting requirements, none of the presented solutions fulfills all intended goals perfectly. However, we present requirements and guidelines for making research reproducible. While the main focus of this paper is on reproducibility in computer science, the results of this paper are still valid for other fields using computation as a tool.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"10 1","pages":"e27082"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86797312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Open data from the Brazilian government: Understanding the perspectives of data suppliers and developers of applications to the citizens","authors":"Narallynne Araújo, Fernando Marques Figueira Filho, L. Melo","doi":"10.7287/peerj.preprints.27073v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27073v1","url":null,"abstract":"Open Government Data (OGD) is seen as a way to promote transparency, as well as to provide information to the population by opening data related to various government sectors and processes. By using applications developed with this type of data, citizens gain knowledge about a certain public sphere; governments, in turn, are able to promote transparency and improvements through the interaction with citizens who use such applications. To create these applications, developers need to extract, process and analyze OGD available by data suppliers. This research was conducted in two phases: the first sought to investigate the perspective of developers who use Brazilian OGD; in the second phase, we investigated the perspectives of data suppliers. Through semi-structured interviews with twenty-four developers and data suppliers, this work reports what motivates them to work with OGD, as well as the barriers they face in this process. Our findings indicate that both participants seek to promote transparency for the population, but they run up against poor data quality, cultural barriers, among other issues. We present and qualitatively characterize these issues, providing recommendations for the improvement of the Brazilian OGD ecosystem.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"27 1","pages":"e27073"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84674512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of resolution on terrain feature extraction","authors":"S. Arundel, Wenwen Li, Xiran Zhou","doi":"10.7287/peerj.preprints.27072v1","DOIUrl":"https://doi.org/10.7287/peerj.preprints.27072v1","url":null,"abstract":"Recent increase in the production of high-resolution digital elevation models (DEMs) from lidar data has led to interest in their use for terrain mapping. Although the impact of different resolutions has been studied relative to terrain characteristics like roughness, slope and curvature, its relationship to the extraction of terrain features remains unclear. To address this question, this study tests the impact of four resolutions on the capture of glacial cirques from DEMs. Mean curvature was derived from one arc-second, one-third arc-second, one-ninth arc-second and half meter DEMs representing a cirque-covered mountainous region southwest of Lake Tahoe, California. Using a GEOBIA workflow, ridge objects were identified, and three scales - via the multi-resolution scale parameter (SP) - of objects bordering the ridges were classified as cirque objects. The resulting classifications were compared to reference cirques digitized at a scale of ~1:10,000. Results show that the one-third arc-second DEM produces the set of cirque objects most closely resembling the reference cirques. The one-ninth arc-second DEM afforded the second-best classification. These results emphasize the importance in carefully choosing resolution relative to the features extracted, rather than using the highest resolution data available. In the case of GEOBIA workflows, the choice of scale parameter is equally important.","PeriodicalId":93040,"journal":{"name":"PeerJ preprints","volume":"68 1","pages":"e27072"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86068925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}