21 Works

Simulation Experiment Schemas - Beyond Tools and Simulation Approaches (Software Appendix)

Pia Wilsdorf, Julius Zimmermann, Marcus Dombrowsky, Ursula van Rienen & Adelinde M. Uhrmacher
This archive contains the software described in the paper "Simulation Experiment Schemas - Beyond Tools and Simulation Approaches" published at the Winter Simulation Conference 2019. The tool guides users through the simulation experiment specification process via a graphical user interface. The entered information is used in the generation of backend-independent experiment specifications in the JSON format. The JSON-based specifications can be mapped to different simulation backends. Currently, two domains of modeling and simulation are supported:...

Evaluation of Requirements for Human Behaviour Modelling for Activity Recognition (Questionnaire Dataset)

Kristina Yordanova
The study took place during the PhD thesis of Kristina Yordanova. 17 study participants were asked to answer the questions concerning the importance of 18 requirements for activity recognition. Each of the requirements was evaluated according to software engineering features. The requirements and their features are formally described in the PhD thesis "Methods for Engineering Computational Causal Behaviour Models" by Kristina Yordanova. Apart from the requirements, the following data was gathered: suitable modelling formalism according...

Probabilistic action selection - Tracking multiple persons in indoor environments

Martin Kasparick & Frank Krüger
Sensor data recording of multiple (1-7) interacting persons in indoor environments by use passive infrared sensors. The dataset was recorded in the context of the diploma thesis of Martin Kasparick.

Runtime Code Generation for Interpreted Domain-Specific Modeling Languages - Software Appendix

Tom Meyer, Tobias Helms, Tom Warnke & Adelinde M. Uhrmacher
This archive contains the needed software to execute the experiments and reproduce the results described in the paper "Runtime Code Generation for Interpreted Domain-Specific Modeling Languages" published at the Winter Simulation Conference 2018. The experiments illustrate the effectiveness of runtime code compilation of rate expressions used by the interpreted domain-specific modeling languages ML-Rules based on microbenchmarks and macrobenchmarks.

Kitchen Task Assessment Dataset for Measuring Errors due to Cognitive Impairments

Kristina Yordanova, Albert Hein & Thomas Kirste
The dataset contains different types of sensor data: acceleration data from different objects and from body-worn sensors as well as annotation. The dataset consists of 12 normal runs and 12 erroneous runs, where the participants simulated typical errors due to dementia. The annotation consists of both action annotation in the form “action_object_object” as well es annotation about the object being manipulated and the hand that is manipulating it.

Partial evaluation via code generation for static stochastic reaction network models (Software Appendix)

Till Köster
Succinct, declarative, and domain-specific modeling languages have many advantages when creating simulation models. However, it is often challenging to efficiently execute models defined in such languages. We use code generation for model-specific simulators. Code generation has been successfully applied for high-performance algorithms in many application domains. By generating tailored simulators for specific simulation models defined in a domain specific language, we get the best of both worlds: a succinct, declarative and formal presentation of the...

Detecting high-level team intentions (Three person meeting dataset)

Thomas Kirste
The dataset contains 20 recordings of scripted meetings and an annotation of the performed activities. Three persons (A, B and C) attend the meeting. Each member holds a presentation, and the meeting concludes with a common discussion. This dataset contains the individual team members positions as recorded by an indoor positioning systems.

Recognising user actions during cooking task (Cooking task dataset) – IMU Data

Frank Krüger, Albert Hein, Kristina Yordanova & Thomas Kirste
The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and washing the dishes. Each of these datasets consists of the raw acceleration and angular rates that were recorded with motion capturing system based on wearable inertial measurement...

Data set for Nonlinearity-induced photonic topological insulator

Lukas J. Maczewsky, Matthias Heinrich, Mark Kremer, Sergey K. Ivanov, Max Ehrhardt, Franklin Martinez, Yaroslav V. Kartashov, Vladimir V. Konotop, Lluis Torner, Dieter Bauer & Alexander Szameit

Time series from textual instructions for causal relations discovery (Causal relations dataset)

Kristina Yordanova
One aspect of ontology learning methods is the discovery of relations in textual data. One kind of such relations are causal relations. Our aim is to discover causations described in texts such as recipes and manuals. There is a lot of research on causal relations discovery that is based on grammatical patterns. These patterns are, however, rarely discovered in textual instructions (such as recipes) with short and simple sentence structure. Therefore we use time series...

Anonymous activity recognition in an office environment (office tasks dataset)

Thomas Kirste
This datasets contains measurements of pressure mats generated by users performing tasks in a faked office environment. Annotation describe the real activities performed by the users. One, two or three persons enter an office room and two tasks to perform: get some coffee, and print a paper. The coffee machine requires water and ground coffee, paper is required for printing. These resources may already be at the coffee machine or the printer, or must be...

An Office Scenario Dataset for Benchmarking Observation-equivalent Entities

Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger & Thomas Kirste
This dataset consists of simulated plans and observations of agents in an office environment. The unique property of this data set compared to other datasets is that multiple agents are acting in the same space, which cannot be distinguished given the observations (i.e. the observations are non-identifying). For each of 36 different initial settings, 20 plan have been randomly sampled, i.e. this dataset consists of 720 plans in total. Additionally there is a webservice, that...

Semantic Annotation for the CMU-MMAC Dataset

Kristina Yordanova, Frank Krüger & Thomas Kirste
Objective: To create semantic annotation of the Carnegie Mellon University Multi-Modal Activity Database (CMU-MMAC) grand challenge kitchen dataset, which is often cited but, due to missing and incomplete annotation, almost never used.

Data Set for Topological Funneling of Light

Sebastian Weidemann, Mark Kremer & Alexander Szameit

Ontology for the Outdoor Mobility of People with Dementia

Kristina Yordanova, Philipp Koldrack, Christina Heine, Ron Henkel, Mike Martin, Stefan Teipel & Thomas Kirste
Objective: To construct an ontology for the outdoor mobility of people with dementia (PwD). The model serves two purposes: (a) as a knowledge base from which to build an assistive technology device describing the mobility of PwD (we call this a situation model); (b) as a codebook for the annotation of the recorded behaviour.

Data for: A Literature Review on Methods for the Extraction of Usage Statements of Software and Data

Frank Krüger & David Schindler
Software and data have become major components of modern research, which is also reflected by an increased number of software usages. Knowledge about used software and data would provide researchers a better understanding of the results of a scientific investigation and thus foster it's reproducibility. Software and data are, however, often not formally cited but their usage is mentioned in the main text. In order to assess the state of the art in extraction of...

On the Perceptually Acceptable Noise Level in Binaural Room Impulse Responses - Accompanying Dataset

Wiebke Hahne, Vera Erbes & Sascha Spors
The practical measurement of binaural room impulse responses (BRIRs) is impaired by equipment and background noise. The noise level in the BRIR depends amongst others on the duration of the excitation signal. With the increasing use of fast measurement techniques, e.g. for the measurement of individual BRIRs, the question arises which level of noise is perceptually acceptable. This paper presents a perceptual study on the threshold of detecting noise in BRIRs. As reference, a set...

Data for: Establishment of a Numerical Model to Design an Electro-Stimulating System for a Porcine Mandibular Critical Size Defect

Hendrikje Raben, Ursula van Rienen, Peer W. Kämmerer & Rainer Bader
This data set provides the necessary computer-aided design project files (Materialise 3-matic) and 3D geometries to create the finite element model of an electrically stimulated minipig mandible that are described in the paper "Establishment of a Numerical Model to Design an Electro-Stimulating System for a Porcine Mandibular Critical Size Defect" (to be) published in the special Issue "Biomaterials for Bone Tissue Engineering" of the MDPI journal Applied Sciences (ISSN 2076-3417). Further, the finite element simulation...

Recognising the actions during cooking task (Cooking task dataset)

Frank Krüger, Albert Hein, Kristina Yordanova & Thomas Kirste
The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and washing the dishes. The aim of the experiment is to investigate the ability of activity recognition approaches to recognise fine-grained user activities based on acceleration data. The...

Terrestrial, Coastal and Marine Ecosystem Service Matrix

Felix Müller, Sabine Bicking, Johanna Schumacher, Miguel Inácio & Gerald Schernewski
This research item is a revised and enlarged version of a qualitative assessment matrix for the appraisal of ecosystem service potentials. The product is a simple tool for scoring landscape and seascape types with respect to their abilities to provide provisioning, regulating and cultural ecosystem services as well as indicators of ecosystem state by applying criteria of ecosystem integrity.

Semantic Annotation for the CMU-MMAC Dataset (Version 2)

Kristina Yordanova, Frank Krüger & Thomas Kirste
Objective: To create semantic annotation of the Carnegie Mellon University Multi-Modal Activity Database (CMU-MMAC) grand challenge kitchen dataset, which is often cited but, due to missing and incomplete annotation, almost never used. Changes to Earlier Version: (1) Changes to the starting times and the actual plan sequences. The previous version contains errors in the plan sequences. (2) The dataset now also contains the models that were used to validate the annotation plan sequences. The models...

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