A Petri-Net Based Context Representation in Smart Car Environment

2013 ◽  
pp. 189-201
Author(s):  
Jie Sun ◽  
Yongping Zhang ◽  
Jianbo Fan
Keyword(s):  
Petri Net ◽  
Context Aware ◽  
Context Model ◽  
Complex Interactions ◽  
Road Congestion ◽  
Complex Process ◽  
Wide Range

Driving is a complex process influenced by a wide range of factors, especially complex interactions between the driver, the vehicle, and the environment. This paper represents the complex situations in smart car domain. Unlike existing context-aware systems which isolate one context situation from another, such as road congestion and car deceleration, this paper proposes a context model which considers the driver, vehicle and environment as a whole. The paper tries to discover the inherent relationship between the situations in the smart car environment, and proposes a context model to support the representation of situations and their correlation. The detailed example scenarios are given to illustrate our idea.

A Petri-Net Based Context Representation in Smart Car Environment

2011 ◽  
Vol 2 (2) ◽  
pp. 34-46 ◽  
Author(s):  
Jie Sun ◽  
Yongping Zhang ◽  
Jianbo Fan
Keyword(s):  
Petri Net ◽  
Context Aware ◽  
Context Model ◽  
Complex Interactions ◽  
Road Congestion ◽  
Complex Process ◽  
Wide Range

Driving is a complex process influenced by a wide range of factors, especially complex interactions between the driver, the vehicle, and the environment. This paper represents the complex situations in smart car domain. Unlike existing context-aware systems which isolate one context situation from another, such as road congestion and car deceleration, this paper proposes a context model which considers the driver, vehicle and environment as a whole. The paper tries to discover the inherent relationship between the situations in the smart car environment, and proposes a context model to support the representation of situations and their correlation. The detailed example scenarios are given to illustrate our idea.

Model and Infrastructure for Communications in Context-Aware Services

2011 ◽  
pp. 472-486
Author(s):  
Cristina Rodriguez-Sanchez ◽  
Susana Borromeo ◽  
Juan Hernandez-Tamames
Keyword(s):  
Mobile Communications ◽  
Local Environment ◽  
Local Context ◽  
Context Aware ◽  
The Novel ◽  
Novel Approach ◽  
Complex Process ◽  
Wide Range ◽  
Ambient Intelligent ◽  
New Type

The appearance of concepts such as “Ambient Intelligent”, “Ubiquitous Computing” and “Context-Awareness” is causing the development of a new type of services called “Context-Aware Services” that in turn may affect users of mobile communications. This technology revolution is a a complex process because of the heterogeneity of contents, devices, objects, technologies, resources and users that can coexist at the same local environment. The novel approach of our work is the development of a ”Local Infrastructure” in order to provide intelligent, transparent and adaptable services to the user as well as to solve the problem of local context control. Two contributions will be presented: conceptual model for developing a local infrastructure and an architecture design to control the service offered by the local infrastructure. This infrastructure proposed consists of an intelligent device network to link the personal portable device with the contextual services. The device design is modular, flexible, scalable, adaptable and reconfigurable remotely in order to tolerate new demanding services whenever are needed. Finally, the result suggests that we will be able to develop a wide range of new and useful applications, not conceived at origin.

Current studies on human implantation: a brief overview

1995 ◽  
Vol 7 (6) ◽  
pp. 1395 ◽  
Author(s):  
PA Rogers
Keyword(s):  
Animal Models ◽  
Embryo Implantation ◽  
Endometrial Receptivity ◽  
Biochemical Changes ◽  
Human Studies ◽  
Complex Interactions ◽  
Complex Process ◽  
Wide Range ◽  
Human Implantation

Embryo implantation involves a series of complex interactions between the developing embryo and the maternal endometrium. Results of studies with animal models suggest that the uterus must undergo a series of morphological and biochemical changes, mediated primarily by oestrogen and progesterone, before it becomes receptive for successful implantation. At present there is little understanding of the endometrial changes required to achieve endometrial receptivity for implantation in the human. It appears that control of receptivity is not as stringent in the human as in some other species, with IVF data suggesting that the duration of receptivity is at least 4 days, and that successful implantation can occur under a relatively wide range of morphological and ultrastructural conditions. Research on the later stages of implantation, including embryo positioning within the uterus, attachment and invasion, has been almost non-existent in the human. Further studies are critical for a better understanding of this complex process, although human studies will always be limited by ethical constraints.

Developing Context-Aware System using the Conceptual Context Model

2006 ◽  
Author(s):  
Chung-seong Hong ◽  
Kang-woo Lee ◽  
Young-ho Suh ◽  
Hyoung-sun Kim ◽  
Hyun Kim ◽  
...  
Keyword(s):  
Context Aware ◽  
Context Model ◽  
Context Aware System

scholarly journals Exploring Interactions between the Gut Microbiota and Social Behavior through Nutrition

Genes ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 534 ◽  
Author(s):  
Cristian Pasquaretta ◽  
Tamara Gómez-Moracho ◽  
Philipp Heeb ◽  
Mathieu Lihoreau
Keyword(s):  
Social Behavior ◽  
Gut Microbiota ◽  
Social Interactions ◽  
Nutritional Ecology ◽  
Social Consequences ◽  
Complex Interactions ◽  
Wide Range ◽  
Nutritional Geometry ◽  
Social Animals

Microbes influence a wide range of host social behaviors and vice versa. So far, however, the mechanisms underpinning these complex interactions remain poorly understood. In social animals, where individuals share microbes and interact around foods, the gut microbiota may have considerable consequences on host social interactions by acting upon the nutritional behavior of individual animals. Here we illustrate how conceptual advances in nutritional ecology can help the study of these processes and allow the formulation of new empirically testable predictions. First, we review key evidence showing that gut microbes influence the nutrition of individual animals, through modifications of their nutritional state and feeding decisions. Next, we describe how these microbial influences and their social consequences can be studied by modelling populations of hosts and their gut microbiota into a single conceptual framework derived from nutritional geometry. Our approach raises new perspectives for the study of holobiont nutrition and will facilitate theoretical and experimental research on the role of the gut microbiota in the mechanisms and evolution of social behavior.

The Simulation of the Ship Production Design Process Based on Hierarchical Timed Petri Net

2012 ◽  
Vol 544 ◽  
pp. 170-175 ◽  
Author(s):  
Rui Yan ◽  
Ping Jiang ◽  
Wei Jia Li ◽  
Jun Yan ◽  
Long Wen
Keyword(s):  
Complex Systems ◽  
Design Process ◽  
Petri Net ◽  
Current Situation ◽  
Sea Transport ◽  
Timed Petri Net ◽  
Project Environment ◽  
Complex Process

Shipbuilding is a very important industry for its irreplaceable role into the sea transport and oceans exploration. But ship production design is a very complex process, causing the inefficiency of the shipbuilding. At the same time, the current situation of most shipbuilding enterprises is the multi-project environment and the resources among them are shared, the large and complex systems are hardly to simulate. In this research, a multi-resources oriented hierarchical timed petri net (HTPN) are constructed to model the ship production design process under the multi-project environment and a WFPN software is developed based on HTPN. To evaluate the efficiency and applicability of WFPN, a case study is conducted and the results show that it’s practicable. Beside on it, the analyses of the resource loads are also providing a way to promote the efficiency of the shipbuilding enterprises.

Design of Wearable Computing Systems for Future Industrial Environments

2011 ◽  
pp. 1226-1245
Author(s):  
Pierre Kirisci ◽  
Ernesto Morales Kluge ◽  
Emanuel Angelescu ◽  
Klaus-Dieter Thoben
Keyword(s):  
Mobile Computing ◽  
Design Process ◽  
Reference Model ◽  
Wearable Computing ◽  
Computing System ◽  
Context Aware ◽  
Context Model ◽  
Computing Systems ◽  
Model Driven ◽  
Industrial Environments

During the last two decades a lot of methodology research has been conducted for the design of software user interfaces (Kirisci, Thoben 2009). Despite the numerous contributions in this area, comparatively few efforts have been dedicated to the advancement of methods for the design of context-aware mobile platforms, such as wearable computing systems. This chapter investigates the role of context, particularly in future industrial environments, and elaborates how context can be incorporated in a design method in order to support the design process of wearable computing systems. The chapter is initiated by an overview of basic research in the area of context-aware mobile computing. The aim is to identify the main context elements which have an impact upon the technical properties of a wearable computing system. Therefore, we describe a systematic and quantitative study of the advantages of context recognition, specifically task tracking, for a wearable maintenance assistance system. Based upon the experiences from this study, a context reference model is proposed, which can be considered supportive for the design of wearable computing systems in industrial settings, thus goes beyond existing context models, e.g. for context-aware mobile computing. The final part of this chapter discusses the benefits of applying model-based approaches during the early design stages of wearable computing systems. Existing design methods in the area of wearable computing are critically examined and their shortcomings highlighted. Based upon the context reference model, a design approach is proposed through the realization of a model-driven software tool which supports the design process of a wearable computing system while taking advantage of concise experience manifested in a well-defined context model.

CAFCLA

2015 ◽  
pp. 187-209 ◽  
Author(s):  
Óscar García ◽  
Ricardo S. Alonso ◽  
Dante I. Tapia ◽  
Juan M. Corchado
Keyword(s):  
Information And Communication Technologies ◽  
Ambient Intelligence ◽  
Communication Technologies ◽  
Agent Technology ◽  
Learning Approach ◽  
Context Aware ◽  
Computer Supported Collaborative Learning ◽  
Wide Range ◽  
Information And Communication ◽  
Multi Agent

Ambient Intelligence (AmI) promotes the integration of Information and Communication Technologies (ICT) in daily life in order to ease the execution of everyday tasks. In this sense, education becomes a field where AmI can improve the learning process by means of context-aware technologies. However, it is necessary to develop new tools that can be adapted to a wide range of technologies and application scenarios. Here is where Agent Technology can demonstrate its potential. This chapter presents CAFCLA, a multi-agent framework that allows developing learning applications based on the pedagogical CSCL (Computer-Supported Collaborative Learning) approach and the Ambient Intelligence paradigm. CAFCLA integrates different context-aware technologies so that learning applications designed, developed, and deployed upon it are dynamic, adaptive, and easy to use by users such as students and teachers.

A Computer Vision Approach for Automatically Mining and Classifying End of Life Products and Components

2015 ◽  
Author(s):  
Matthew L. Dering ◽  
Conrad S. Tucker
Keyword(s):  
Computer Vision ◽  
Waste Management ◽  
End Of Life ◽  
Predictive Accuracy ◽  
Vision System ◽  
Video Stream ◽  
Automated System ◽  
Complex Interactions ◽  
Wide Range ◽  
Human Labor

The authors of this work present a computer vision approach that discovers and classifies objects in a video stream, towards an automated system for managing End of Life (EOL) waste streams. Currently, the sorting stage of EOL waste management is an extremely manual and tedious process that increases the costs of EOL options and minimizes its attractiveness as a profitable enterprise solution. There have been a wide range of EOL methodologies proposed in the engineering design community that focus on determining the optimal EOL strategies of reuse, recycle, remanufacturing and resynthesis. However, many of these methodologies assume a product/component disassembly cost based on human labor, which hereby increases the cost of EOL waste management. For example, recent EOL options such as resynthesis, rely heavily on the optimal sorting and combining of components in a novel way to form new products. This process however, requires considerable manual labor that may make this option less attractive, given products with highly complex interactions and components. To mitigate these challenges, the authors propose a computer vision system that takes live video streams of incoming EOL waste and i) automatically identifies and classifies products/components of interest and ii) predicts the EOL process that will be needed for a given product/component that is classified. A case study involving an EOL waste stream video is used to demonstrate the predictive accuracy of the proposed methodology in identifying and classifying EOL objects.

scholarly journals The Herschel SPIRE Fourier Transform Spectrometer Spectral Feature Finder I. The Spectral Feature Finder and Catalogue

2020 ◽  
Vol 496 (4) ◽  
pp. 4874-4893 ◽  
Author(s):  
R Hopwood ◽  
I Valtchanov ◽  
L D Spencer ◽  
J Scott ◽  
C Benson ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Signal To Noise Ratio ◽  
Spectral Feature ◽  
Fourier Transform Spectrometer ◽  
Line Flux ◽  
Residual Spectrum ◽  
Source Type ◽  
Complex Process ◽  
Wide Range ◽  
Significant Line

ABSTRACT We provide a detailed description of the Herschel/SPIRE Fourier Transform Spectrometer (FTS) Spectral Feature Finder (FF). The FF is an automated process designed to extract significant spectral features from SPIRE FTS data products. Optimizing the number of features found in SPIRE-FTS spectra is challenging. The wide SPIRE-FTS frequency range (447–1568 GHz) leads to many molecular species and atomic fine structure lines falling within the observed bands. As the best spectral resolution of the SPIRE-FTS is ∼1.2 GHz, there can be significant line blending, depending on the source type. In order to find, both efficiently and reliably, features in spectra associated with a wide range of sources, the FF iteratively searches for peaks over a number of signal-to-noise ratio (SNR) thresholds. For each threshold, newly identified features are rigorously checked before being added to the fitting model. At the end of each iteration, the FF simultaneously fits the continuum and features found, with the resulting residual spectrum used in the next iteration. The final FF products report the frequency of the features found and the associated SNRs. Line flux determination is not included as part of the FF products, as extracting reliable line flux from SPIRE-FTS data is a complex process that requires careful evaluation and analysis of the spectra on a case-by-case basis. The FF results are 100 per cent complete for features with SNR greater than 10 and 50–70 per cent complete at SNR of 5. The FF code and all FF products are publicly available via the Herschel Science Archive.

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