TY - JOUR A1 - Zieris, Holger A1 - Gerstberger, Herbert A1 - Müller, Wolfgang T1 - Using Arduino-Based Experiments to Integrate Computer Science Education and Natural Science JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - Current curricular trends require teachers in Baden- Wuerttemberg (Germany) to integrate Computer Science (CS) into traditional subjects, such as Physical Science. However, concrete guidelines are missing. To fill this gap, we outline an approach where a microcontroller is used to perform and evaluate measurements in the Physical Science classroom. Using the open-source Arduino platform, we expect students to acquire and develop both CS and Physical Science competencies by using a self-programmed microcontroller. In addition to this combined development of competencies in Physical Science and CS, the subject matter will be embedded in suitable contexts and learning environments, such as weather and climate. KW - Computer Science Education KW - Natural Science Education KW - Inquiry-based Learning KW - Physical Science KW - Measurement KW - Arduino KW - Sensors Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82938 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 381 EP - 389 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Weigend, Michael T1 - How Things Work BT - Recognizing and Describing Functionality JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - Recognizing and defining functionality is a key competence adopted in all kinds of programming projects. This study investigates how far students without specific informatics training are able to identify and verbalize functions and parameters. It presents observations from classroom activities on functional modeling in high school chemistry lessons with altogether 154 students. Finally it discusses the potential of functional modelling to improve the comprehension of scientific content. KW - Function KW - programming KW - parameter KW - competence KW - abstraction Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82814 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 285 EP - 298 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Wegner, Christian A1 - Zender, Raphael A1 - Lucke, Ulrike T1 - ProtoSense BT - Interactive Paper Prototyping with Multi-Touch Tables JF - KEYCIT 2014 - Key Competencies in Informatics and ICT KW - Interface design KW - paper prototyping KW - NUI Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82970 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 405 EP - 407 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Webb, Mary T1 - Considerations for the Design of Computing Curricula JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - This paper originated from discussions about the need for important changes in the curriculum for Computing including two focus group meetings at IFIP conferences over the last two years. The paper examines how recent developments in curriculum, together with insights from curriculum thinking in other subject areas, especially mathematics and science, can inform curriculum design for Computing. The analysis presented in the paper provides insights into the complexity of curriculum design as well as identifying important constraints and considerations for the ongoing development of a vision and framework for a Computing curriculum. KW - Curriculum KW - Computer Science KW - Informatics KW - curriculum theory Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82723 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 267 EP - 283 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Vierheller, Janine ED - Lambrecht, Anna-Lena ED - Margaria, Tiziana T1 - Exploratory Data Analysis JF - Process Design for Natural Scientists: an agile model-driven approach N2 - In bioinformatics the term exploratory data analysis refers to different methods to get an overview of large biological data sets. Hence, it helps to create a framework for further analysis and hypothesis testing. The workflow facilitates this first important step of the data analysis created by high-throughput technologies. The results are different plots showing the structure of the measurements. The goal of the workflow is the automatization of the exploratory data analysis, but also the flexibility should be guaranteed. The basic tool is the free software R. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 110 EP - 126 PB - Axel Springer Verlag CY - Berlin ER - TY - JOUR A1 - Teske, Daniel T1 - Geocoder accuracy ranking JF - Process design for natural scientists: an agile model-driven approach N2 - Finding an address on a map is sometimes tricky: the chosen map application may be unfamiliar with the enclosed region. There are several geocoders on the market, they have different databases and algorithms to compute the query. Consequently, the geocoding results differ in their quality. Fortunately the geocoders provide a rich set of metadata. The workflow described in this paper compares this metadata with the aim to find out which geocoder is offering the best-fitting coordinate for a given address. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 161 EP - 174 PB - Springer CY - Berlin ER - TY - JOUR A1 - Tavakoli, Hamad A1 - Alirezazadeh, Pendar A1 - Hedayatipour, Ava A1 - Nasib, A. H. Banijamali A1 - Landwehr, Niels T1 - Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks JF - Computers and electronics in agriculture : COMPAG online ; an international journal N2 - In recent years, many efforts have been made to apply image processing techniques for plant leaf identification. However, categorizing leaf images at the cultivar/variety level, because of the very low inter-class variability, is still a challenging task. In this research, we propose an automatic discriminative method based on convolutional neural networks (CNNs) for classifying 12 different cultivars of common beans that belong to three various species. We show that employing advanced loss functions, such as Additive Angular Margin Loss and Large Margin Cosine Loss, instead of the standard softmax loss function for the classification can yield better discrimination between classes and thereby mitigate the problem of low inter-class variability. The method was evaluated by classifying species (level I), cultivars from the same species (level II), and cultivars from different species (level III), based on images from the leaf foreside and backside. The results indicate that the performance of the classification algorithm on the leaf backside image dataset is superior. The maximum mean classification accuracies of 95.86, 91.37 and 86.87% were obtained at the levels I, II and III, respectively. The proposed method outperforms the previous relevant works and provides a reliable approach for plant cultivars identification. KW - Bean KW - Plant identification KW - Digital image analysis KW - VGG16 KW - Loss KW - functions Y1 - 2021 U6 - https://doi.org/10.1016/j.compag.2020.105935 SN - 0168-1699 SN - 1872-7107 VL - 181 PB - Elsevier CY - Amsterdam [u.a.] ER - TY - JOUR A1 - Sysło, Maciej M. A1 - Kwiatkowska, Anna Beata T1 - Think logarithmically! JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - We discuss here a number of algorithmic topics which we use in our teaching and in learning of mathematics and informatics to illustrate and document the power of logarithm in designing very efficient algorithms and computations – logarithmic thinking is one of the most important key competencies for solving real world practical problems. We demonstrate also how to introduce logarithm independently of mathematical formalism using a conceptual model for reducing a problem size by at least half. It is quite surprising that the idea, which leads to logarithm, is present in Euclid’s algorithm described almost 2000 years before John Napier invented logarithm. KW - Logarithm KW - binary search KW - binary representation KW - exponentiation KW - Euclid’s algorithm KW - Fibonacci numbers KW - divide and conquer KW - complexity Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82923 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 371 EP - 380 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Steinert, Fritjof A1 - Stabernack, Benno T1 - Architecture of a low latency H.264/AVC video codec for robust ML based image classification how region of interests can minimize the impact of coding artifacts JF - Journal of Signal Processing Systems for Signal, Image, and Video Technology N2 - The use of neural networks is considered as the state of the art in the field of image classification. A large number of different networks are available for this purpose, which, appropriately trained, permit a high level of classification accuracy. Typically, these networks are applied to uncompressed image data, since a corresponding training was also carried out using image data of similar high quality. However, if image data contains image errors, the classification accuracy deteriorates drastically. This applies in particular to coding artifacts which occur due to image and video compression. Typical application scenarios for video compression are narrowband transmission channels for which video coding is required but a subsequent classification is to be carried out on the receiver side. In this paper we present a special H.264/Advanced Video Codec (AVC) based video codec that allows certain regions of a picture to be coded with near constant picture quality in order to allow a reliable classification using neural networks, whereas the remaining image will be coded using constant bit rate. We have combined this feature with the ability to run with lowest latency properties, which is usually also required in remote control applications scenarios. The codec has been implemented as a fully hardwired High Definition video capable hardware architecture which is suitable for Field Programmable Gate Arrays. KW - H.264 KW - Advanced Video Codec (AVC) KW - Low Latency KW - Region of Interest KW - Machine Learning KW - Inference KW - FPGA KW - Hardware accelerator Y1 - 2022 U6 - https://doi.org/10.1007/s11265-021-01727-2 SN - 1939-8018 SN - 1939-8115 VL - 94 IS - 7 SP - 693 EP - 708 PB - Springer CY - New York ER - TY - JOUR A1 - Sens, Henriette T1 - Web-Based map generalization tools put to the test: a jABC workflow JF - Process Design for Natural Scientists: an agile model-driven approach N2 - Geometric generalization is a fundamental concept in the digital mapping process. An increasing amount of spatial data is provided on the web as well as a range of tools to process it. This jABC workflow is used for the automatic testing of web-based generalization services like mapshaper.org by executing its functionality, overlaying both datasets before and after the transformation and displaying them visually in a .tif file. Mostly Web Services and command line tools are used to build an environment where ESRI shapefiles can be uploaded, processed through a chosen generalization service and finally visualized in Irfanview. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 175 EP - 185 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schütt, Christine T1 - Identification of differentially expressed genes JF - Process design for natural scientists: an agile model-driven approach N2 - With the jABC it is possible to realize workflows for numerous questions in different fields. The goal of this project was to create a workflow for the identification of differentially expressed genes. This is of special interest in biology, for it gives the opportunity to get a better insight in cellular changes due to exogenous stress, diseases and so on. With the knowledge that can be derived from the differentially expressed genes in diseased tissues, it becomes possible to find new targets for treatment. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 127 EP - 139 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schulze, Gunnar T1 - Workflow for rapid metagenome analysis JF - Process design for natural scientists: an agile model-driven approach N2 - Analyses of metagenomes in life sciences present new opportunities as well as challenges to the scientific community and call for advanced computational methods and workflows. The large amount of data collected from samples via next-generation sequencing (NGS) technologies render manual approaches to sequence comparison and annotation unsuitable. Rather, fast and efficient computational pipelines are needed to provide comprehensive statistics and summaries and enable the researcher to choose appropriate tools for more specific analyses. The workflow presented here builds upon previous pipelines designed for automated clustering and annotation of raw sequence reads obtained from next-generation sequencing technologies such as 454 and Illumina. Employing specialized algorithms, the sequence reads are processed at three different levels. First, raw reads are clustered at high similarity cutoff to yield clusters which can be exported as multifasta files for further analyses. Independently, open reading frames (ORFs) are predicted from raw reads and clustered at two strictness levels to yield sets of non-redundant sequences and ORF families. Furthermore, single ORFs are annotated by performing searches against the Pfam database Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 88 EP - 100 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schiller, Thomas T1 - Teaching Information Security (as Part of Key Competencies) BT - The Situation in Austria JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - The poster and abstract describe the importance of teaching information security in school. After a short description of information security and important aspects, I will show, how information security fits into different guidelines or models for computer science educations and that it is therefore on of the key competencies. Afterwards I will present you a rough insight of teaching information security in Austria. KW - Teaching information security KW - key competencies KW - computer science education KW - Austria Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82960 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 401 EP - 404 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Scheele, Lasse T1 - Location analysis for placing artificial reefs JF - Process design for natural scientists: an agile model-driven approach N2 - Location analyses are among the most common tasks while working with spatial data and geographic information systems. Automating the most frequently used procedures is therefore an important aspect of improving their usability. In this context, this project aims to design and implement a workflow, providing some basic tools for a location analysis. For the implementation with jABC, the workflow was applied to the problem of finding a suitable location for placing an artificial reef. For this analysis three parameters (bathymetry, slope and grain size of the ground material) were taken into account, processed, and visualized with the The Generic Mapping Tools (GMT), which were integrated into the workflow as jETI-SIBs. The implemented workflow thereby showed that the approach to combine jABC with GMT resulted in an user-centric yet user-friendly tool with high-quality cartographic outputs. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 216 EP - 228 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schaub, Torsten H. A1 - Woltran, Stefan T1 - Answer set programming unleashed! JF - Künstliche Intelligenz N2 - Answer Set Programming faces an increasing popularity for problem solving in various domains. While its modeling language allows us to express many complex problems in an easy way, its solving technology enables their effective resolution. In what follows, we detail some of the key factors of its success. Answer Set Programming [ASP; Brewka et al. Commun ACM 54(12):92–103, (2011)] is seeing a rapid proliferation in academia and industry due to its easy and flexible way to model and solve knowledge-intense combinatorial (optimization) problems. To this end, ASP offers a high-level modeling language paired with high-performance solving technology. As a result, ASP systems provide out-off-the-box, general-purpose search engines that allow for enumerating (optimal) solutions. They are represented as answer sets, each being a set of atoms representing a solution. The declarative approach of ASP allows a user to concentrate on a problem’s specification rather than the computational means to solve it. This makes ASP a prime candidate for rapid prototyping and an attractive tool for teaching key AI techniques since complex problems can be expressed in a succinct and elaboration tolerant way. This is eased by the tuning of ASP’s modeling language to knowledge representation and reasoning (KRR). The resulting impact is nicely reflected by a growing range of successful applications of ASP [Erdem et al. AI Mag 37(3):53–68, 2016; Falkner et al. Industrial applications of answer set programming. K++nstliche Intelligenz (2018)] Y1 - 2018 U6 - https://doi.org/10.1007/s13218-018-0550-z SN - 0933-1875 SN - 1610-1987 VL - 32 IS - 2-3 SP - 105 EP - 108 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Saito, Toshinori T1 - The Key Competencies in Informatics and ICT viewed from Nussbaum’s Ten Central Capabilities JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - This article shows a discussion about the key competencies in informatics and ICT viewed from a philosophical foundation presented by Martha Nussbaum, which is known as ‘ten central capabilities’. Firstly, the outline of ‘The Capability Approach’, which has been presented by Amartya Sen and Nussbaum as a theoretical framework of assessing the state of social welfare, will be explained. Secondly, the body of Nussbaum’s ten central capabilities and the reason for being applied as the basis of discussion will be shown. Thirdly, the relationship between the concept of ‘capability’ and ‘competency’ is to be discussed. After that, the author’s assumption of the key competencies in informatics and ICT led from the examination of Nussbaum’s ten capabilities will be presented. KW - Capability approach KW - competency KW - teaching informatics in general education KW - philosophical foundation of informatics pedagogy KW - education and public policy Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82718 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 253 EP - 266 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Reynolds, Nicholas A1 - Swainston, Andrew A1 - Bendrups, Faye T1 - Music Technology and Computational Thinking BT - Young People displaying Competence JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - A project involving the composition of a number of pieces of music by public participants revealed levels of engagement with and mastery of complex music technologies by a number of secondary student volunteers. This paper reports briefly on some initial findings of that project and seeks to illuminate an understanding of computational thinking across the curriculum. KW - Computational Thinking KW - Music Technology KW - ICT Competence KW - Young People Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82913 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 363 EP - 370 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Respondek, Tobias T1 - A workflow for computing potential areas for wind turbines JF - Process design for natural scientists: an agile model-driven approach N2 - This paper describes the implementation of a workflow model for service-oriented computing of potential areas for wind turbines in jABC. By implementing a re-executable model the manual effort of a multi-criteria site analysis can be reduced. The aim is to determine the shift of typical geoprocessing tools of geographic information systems (GIS) from the desktop to the web. The analysis is based on a vector data set and mainly uses web services of the “Center for Spatial Information Science and Systems” (CSISS). This paper discusses effort, benefits and problems associated with the use of the web services. Y1 - 2014 SN - 978-3-662-45005-5 IS - 500 SP - 200 EP - 215 PB - Springer CY - Berlin ER - TY - JOUR A1 - Reso, Judith ED - Lambrecht, Anna-Lena ED - Margaria, Tiziana T1 - Protein Classification Workflow JF - Process Design for Natural Scientists: an agile model-driven approach N2 - The protein classification workflow described in this report enables users to get information about a novel protein sequence automatically. The information is derived by different bioinformatic analysis tools which calculate or predict features of a protein sequence. Also, databases are used to compare the novel sequence with known proteins. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 65 EP - 72 PB - Springer Verlag CY - Berlin ER - TY - JOUR A1 - Przybylla, Mareen A1 - Romeike, Ralf T1 - Key Competences with Physical Computing JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - Physical computing covers the design and realization of interactive objects and installations and allows students to develop concrete, tangible products of the real world that arise from the learners’ imagination. This way, constructionist learning is raised to a level that enables students to gain haptic experience and thereby concretizes the virtual. In this paper the defining characteristics of physical computing are described. Key competences to be gained with physical computing will be identified. KW - Defining characteristics of physical computing KW - key competences in physical computing KW - physical computing tools Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82904 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 351 EP - 361 PB - Universitätsverlag Potsdam CY - Potsdam ER -