The websites of the universities of Africa's most populous country Nigeria were examined. The goal was to unearth the reasons why external hyperlinks are placed on these sites and identify any peculiarities by geo...
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Event-Based systems (EBS) can efficiently analyze large streams of sensor data in near-realtime. But they struggle with noise or incompleteness that is seen in the unprecedented amount of data generated by the Interne...
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ISBN:
(纸本)9781450332866
Event-Based systems (EBS) can efficiently analyze large streams of sensor data in near-realtime. But they struggle with noise or incompleteness that is seen in the unprecedented amount of data generated by the Internet of Things. We present a generic approach that deals with uncertain data in the middleware layer of distributed event-based systems and is hence transparent for developers. Our approach calculates alternative paths to improve the overall result of the data analysis. It dynamically generates, updates, and evaluates Bayesian Networks based on probability measures and rules defined by developers. An evaluation on position data shows that the improved detection rate justifies the computational overhead.
Online resources, large data repositories and streaming social network messages embed plenitudes of interesting knowledge, often of associative nature. A specific communicative context, such as the political debate in...
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The article presents the design of an application interface for associated medical data visualization and management for neurologists in a stroke clustering and prediction system called Stroke MD. The goal of the syst...
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ISBN:
(纸本)9781467375467
The article presents the design of an application interface for associated medical data visualization and management for neurologists in a stroke clustering and prediction system called Stroke MD. The goal of the system is to facilitate efficient visual data introduction and knowledge extraction based on a predictive model implementation. Aspects such as quality of the visualized data, type of the viewed data (risk factor groups, clustered groups, data alerts, conclusions etc.) and efficient user-software interaction directly influenced decisions about system design, in particular the design of the doctor's/patient's user interface sides, input methods and user-software interaction techniques, ending in to a hybrid setup of interface.
In this paper, we sketch how treating product lines as systems of possibly heterogeneous constraints allows one to elegantly and consistently manage product lines in terms of a product line of product lines. In fact, ...
Software pipelining exploits instruction-level parallelism from loops. In static compilers, it has been one of the most eficient optimizations for wide-issue architectures. How- ever, the compilation time is at least ...
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The analysis of nowadays software systems for supporting, e.g., testing, verification or debugging is becoming more challenging due to their increasing complexity. Model slicing is a promising analysis technique to ta...
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The analysis of nowadays software systems for supporting, e.g., testing, verification or debugging is becoming more challenging due to their increasing complexity. Model slicing is a promising analysis technique to tackle this issue by abstracting from those parts not influencing the current point of interest. In the context of software product lines, applying model slicing separately for each variant is in general infeasible. Delta modeling allows exploiting the explicit specification of commonality and variability within deltas and enables the reuse of artifacts and already obtained results to reduce the modeling and analysis efforts. In this paper, we propose a novel approach for incremental model slicing for delta-oriented software product lines. Based on the specification of model changes between variants by means of model regression deltas, an incremental adaptation of variant-specific dependency graphs as well as an incremental slice computation is achieved. The slice computation further allows for the derivation of differences between slices for the same point of interest enhancing, e.g., change impact analysis. We provide details of our incremental approach, discuss benefits and present future work.
Translating time expression into absolute time points or durations is a challenge for natural languages processing such as text mining and text understanding in general. We present a constraint logic language CLP(Time...
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During the commissioning phase of production systems the identification and correction of malfunctions is a tedious task mainly done manually by commissioning engineers. This task is of high importance because missed ...
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During the commissioning phase of production systems the identification and correction of malfunctions is a tedious task mainly done manually by commissioning engineers. This task is of high importance because missed malfunctions may result in hazardous behavior during operation phase. At this point, regardless of the engineers expertise a systematic support can drastically decrease the risk of missed malfunctions. A promising systematic approach is to use engineering artifacts of the system design phase as an information source to identify unexpected behavior regarding the specification. This paper proposes such a systematic approach based on model-based testing resulting in automatic test case generation and execution which allows to support engineers with learned models representing the expected transient system behavior. Subsequently, the obtained models are used for detection of unexpected behavior during commissioning. The unexpected behavior is presented to a commissioning engineer who decides if the behavior (1) is correct and will be added to the models or (2) represents an identified system malfunction. The approach is evaluated on a demonstration plant.
This paper presents a multi-level approach for self-organization of in cyber-physical system resources. Cyber-physical system consists of physical part and cyber part. For implementation of joint actions by devices in...
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This paper presents a multi-level approach for self-organization of in cyber-physical system resources. Cyber-physical system consists of physical part and cyber part. For implementation of joint actions by devices in physical part, they have to interact in cyber part. It is proposed to use the smart space technology for exchange information between these devices in cyber part of cyber-physical system. Smart Space -- is a computational environment consisting of multiple heterogeneous services (electronic and computational devices, Internet pages, data based, etc.) which has intelligent behavior, can proactively provide information taking into account current situation. Smart spaces allow unifying different levels of services, implement self-organization of services in each level, and providing politics from upper to lower level. Self-organization on every level is implemented based on ontology-based context management techniques and ontology matching method that provides semantic interoperability between interacted robots. Discussed in the paper case study solve the task of self-organization three types of robots based on politics from operation planning services and context situation in smart space. For the scenario implementation the Smart-M3 information sharing platform is used. It provides easy-to-use interfaces for information sharing through the RDF ontologies and publish / subscribe mechanism for connected services.
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