Our aim in this research was to analyze studies in the area of Augmented Reality applications and research throughout the world using meta-analysis methods in order to determine trends in the area. For the purpose of ...
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Our aim in this research was to analyze studies in the area of Augmented Reality applications and research throughout the world using meta-analysis methods in order to determine trends in the area. For the purpose of the study, a total of 1008 pieces of research, published between 2001 and 2019 and selected by purposeful sampling method were analyzed. Trends of Augmented Reality applications and research throughout the world were examined under 13 criteria. These criteria were;index, year of publication, number of authors, country of research, area of research, method, education grade, sample group, sample number, data collection method, bibliography number, analysis techniques, purpose of research, and research trends. These data were interpreted based on percentage and frequency. In Augmented Reality, technologies are integrated in many fields such as education technology, engineering arts, visual arts education and special education.
In this paper, we proposed a hybridized soft computing technique to solve a restricted 4-dimensional TSP (r-4DTSP) where different paths with various numbers of conveyances are available to travel between two cities. ...
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Background: Next generation sequencing (NGS) technologies enable studies and analyses of the diversity of both T and B cell receptors (TCR and BCR) in human and animal systems to elucidate immune functions in health a...
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Background: Next generation sequencing (NGS) technologies enable studies and analyses of the diversity of both T and B cell receptors (TCR and BCR) in human and animal systems to elucidate immune functions in health and disease. Over the last few years, several algorithms and tools have been developed to support respective analyses of raw sequencing data of the immune repertoire. These tools focus on distinct aspects of the data processing and require a strong bioinformatics background. To facilitate the analysis of T and B cell repertoires by less experienced users, software is needed that combines the most common tools for repertoire analysis. Results: We introduce a graphical user interface (GUI) providing a complete analysis pipeline for processing raw NGS data for human and animal TCR and BCR clonotype determination and advanced differential repertoire studies. It provides two applications. ClonoCalc prepares the raw data for downstream analyses. It combines a demultiplexer for barcode splitting and employs MiXCR for paired- end read merging and the extraction of human and animal TCR/BCR sequences. ClonoPlot wraps the R package tcR and further contributes self-developed plots for the descriptive comparative investigation of immune repertoires. Conclusion: This workflow reduces the amount of programming required to perform the respective analyses and supports both communication and training between scientists and technicians, and across scientific disciplines. The Open Source development in Java and R is modular and invites advanced users to extend its functionality. software and documentation are freely available at https://***/ClonoSuite/clonocalc-plot.
One domain-specific modeling environment is centered around a domain-specific meta-model which defines syntax (modeling elements, e.g., classes) for the domain models. However, in order for the system designers to be ...
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ISBN:
(纸本)9781538634929
One domain-specific modeling environment is centered around a domain-specific meta-model which defines syntax (modeling elements, e.g., classes) for the domain models. However, in order for the system designers to be able to construct meaningful models, semantics of the domain-specific meta-model needs to be described as well. This semantics is often provided in a form of informal natural language specifications that contain a set of design requirements, each describing the intended use of one or more modeling elements. Intuitively, introduction of new concepts into the modeling environment is expected to require changes in both meta-modeling syntax and informal semantics in such a way that their co-evolution is highly correlated. In order to test this hypothesis, we analyzed the relation between added classes, attributes, and connectors, as meta-modeling syntax, and modified/ added design requirements, as meta-modeling semantics, in a case study of the AUTOSAR meta-modeling environment. We found that new AUTOSAR concepts usually require both new modeling elements and new design requirements, but surprisingly adding more elements is not always followed by more requirements. This finding is also validated by the moderately strong correlation between the evolution of these two AUTOSAR metamodeling artifacts (Spearman's. 0,63 and Kendall's t 0,49). For system designers, this means that both meta-modeling syntax and informal semantics is important to be considered in the analysis of domain-specific meta-model evolution, but it may not be enough for understanding the use of all modeling elements. For designers responsible for the maintenance of domain-specific meta-models, this means that more effort shall be put into describing the semantics of all introduced modeling elements.
This paper considers a generic approach to run-time verification of temporal properties over first-order theories. This allows especially for the verification of multi-threaded, object-oriented systems. It presents a ...
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This paper considers a generic approach to run-time verification of temporal properties over first-order theories. This allows especially for the verification of multi-threaded, object-oriented systems. It presents a general framework lifting monitor synthesis procedures for propositional temporal logics to a temporal logic over structures within some first-order theory. To evaluate such specifications SMT solving and classical monitoring of propositional temporal properties are combined. The monitoring procedure was implemented for linear-time temporal logic based on the Z3 SMT solver and evaluated regarding runtime performance.
This paper presents a non-manual design engineering method based on heuristic search algorithm to search for candidate agents in the solution space which formed by artificial intelligence agents modeled on the base of...
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Computational cognitive modeling investigates human cognition by building detailed computational models for cognitive processes. Adaptive Control of Thought – Rational (ACT-R) is a rule-based cognitive architecture t...
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Embedded devices may be significantly constrained in main memory, storage and CPU loads they can accommodate. The smaller the program, the faster it is loaded into memory. The smaller the system image, the cheaper can...
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Embedded devices may be significantly constrained in main memory, storage and CPU loads they can accommodate. The smaller the program, the faster it is loaded into memory. The smaller the system image, the cheaper can be production of the device. There are two ways to approach system image minification. The first way is to carefully write software adding no unnecessary parts from the start. The second way is to use existing software with unnecessary parts removed. In this work we implement the latter approach. Our work is concerned with eliminating unused code and data from dynamically linked programs; for statically linked programs, simple linker analysis is sufficient and has already been implemented.
Model checking [1] deals with the problem of deciding whether all runs of a system under scrutiny satisfy a given specification. As typically infinite runs of the system are of interest, a dynamic analysis of complete...
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ISBN:
(纸本)9783319471662;9783319471655
Model checking [1] deals with the problem of deciding whether all runs of a system under scrutiny satisfy a given specification. As typically infinite runs of the system are of interest, a dynamic analysis of complete runs is not possible. Hence, model checking is necessarily a static analysis technique. Runtime verification [2] on the other hand concentrates on prefixes of runs of the system as it typically considers the actual, necessarily finite run of the system. So while both model checking and runtime verification focus on runs of the system under scrutiny they have a different focus and are applied on a different level of abstraction. In this presentation we elaborate on the similarities and differences of model checking and runtime verification, yet, we mainly introduce question but questions to be studied in the future. We recall the work pointed out in [3] putting runtime verification and (LTL-based) model checking into the same formal framework.
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