Quality Parameters as Modeling Language Abstractions for Context-Aware Applications: An AAL Case Study

Context-aware systems are able to monitor and automatically adapt their operation accordingly to the execution context in which they are introduced. Component-based software engineering (CBSE) focuses on the development and reuse of self-contained software assets in order to achieve better productivity and quality. In order to store and retrieve components, CBSE employs component repository systems to provide components to the system developers. This paper presents an active component repository that is able to receive the current configuration from the context-aware system and compute the components and the new architecture that better fit the given context. Since the repository has a wide knowledge of available components, it can better decide which configuration is more suitable to the running system. The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. In order to verify the feasibility of our approach, we use a digital TV middleware case study to achieve experimental results.

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Heavyweight extension to the UML class diagram metamodel for modeling context aware systems in ubiquitous computing

International Journal of Pervasive Computing and Communications ◽

10.1108/ijpcc-02-2017-0016 ◽

2017 ◽

Vol 13 (3) ◽

pp. 238-251 ◽

Cited By ~ 1

Author(s):

Haider Boudjemline ◽

Mohamed Touahria ◽

Abdelhak Boubetra ◽

Hamza Kaabeche

Keyword(s):

Fundamental Problem ◽

Unified Modeling Language ◽

Class Diagram ◽

Context Aware ◽

User Interactions ◽

Content Type ◽

Unified Modeling ◽

Development Processes ◽

Uml Class Diagram

Purpose The development of context-aware applications in ubiquitous environments depends not only on the user interactions but also on several context parameters. The handling of these parameters is a fundamental problem in these systems. The key purpose of this work is to enrich the unified modeling language (UML) class diagram with new constructs to provide a universal model capable of coping with the context-awareness concerns. Design/methodology/approach The authors provide a review of existing context handling approaches. Afterward, they relied on the UML extensibility mechanisms to propose a heavyweight extension for the UML class diagram. This generic approach allows describing the different context parameters since the modeling phase. Findings Existing solutions for context handling apply the contextual constraints on finished applications or tend to be dependent on a specific development process. This paper presents a solution based on UML, which allows dealing with context since the modeling phase, and independently of development processes. This proposal is implemented as an eclipse editor and illustrated through a case study in the healthcare field. Originality/value This paper addresses the problem of context handling, and it presents a review of the foremost existing solutions. The paper also presents a heavyweight extension for the UML class diagram, which consists in enriching it with additional constructs, capable of monitoring how applications are linked to context parameters and how the values of these parameters may affect the application behavior.

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Improving effectiveness of mitigation measures in EIA follow-up

Management of Environmental Quality An International Journal ◽

10.1108/meq-04-2014-0052 ◽

2015 ◽

Vol 26 (4) ◽

pp. 518-537 ◽

Cited By ~ 5

Author(s):

Amarilis Lucia Casteli Figueiredo Gallardo ◽

Caio Pompeu Cavalhieri ◽

Sofia Julia Alves Macedo Campos ◽

Omar Yazbek Bitar

Keyword(s):

Water Quality ◽

Quality Control ◽

Quality Parameters ◽

Mitigation Measures ◽

Water Quality Control ◽

Content Type ◽

Study Approach ◽

Phase Water

Purpose – The purpose of this paper is to investigate the effectiveness of mitigation measures adopted in a scheme of EIA follow-up by examining their performance in reducing geo-environmental impacts in earthwork activities during the Rodoanel southern section construction in São Paulo, Brazil. This environment is fragile in terms of affected watersheds because the highway crosses two important reservoirs that supply most of the metropolitan water demand. Therefore, this research also aims at promoting water quality control. Design/methodology/approach – This study combines complementary sources as evidences in the literature and field checks, tests and monitoring. The methodology was supported by criteria for evaluating the effectiveness of mitigation measures in the case study approach. Findings – The EIA follow-up activities contributed to the maintenance of environmental conditions in the majority of the control points at the end of the construction phase. Water quality parameters were not statistically different before and during the construction of the highway. The choice and arrangement of mitigation measures were successful in ensuring water quality control by avoiding siltation. Practical implications – A robust scheme for designing and evaluating mitigation measures contributes to the improvement of their effectiveness and is pivotal to the success of the EIA follow-up. Originality/value – This case study serves as an example for extending EIA follow-up practice in special to the improvement of the design and evaluation of mitigation measures in similar contexts.

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A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

Volume 5: 35th Design Automation Conference, Parts A and B ◽

10.1115/detc2009-86673 ◽

2009 ◽

Cited By ~ 1

Author(s):

Feng Zhou ◽

Jianxin Roger Jiao ◽

Songlin Chen ◽

Daqing Zhang

Keyword(s):

Home Environment ◽

Smart Home ◽

Rough Set Theory ◽

Research Problem ◽

Information Model ◽

Context Aware ◽

Sensor Platform ◽

Smart Home Environment ◽

Manual Assistance

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

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Context-Aware Systems: A Case Study

Communications in Computer and Information Science - Digital Information and Communication Technology and Its Applications ◽

10.1007/978-3-642-22027-2_60 ◽

2011 ◽

pp. 718-732 ◽

Cited By ~ 13

Author(s):

Bachir Chihani ◽

Emmanuel Bertin ◽

Fabrice Jeanne ◽

Noel Crespi

Keyword(s):

Context Aware

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Designing and Mining Web Applications

Handbook of Research on Text and Web Mining Technologies ◽

10.4018/978-1-59904-990-8.ch025 ◽

2010 ◽

pp. 401-417

Author(s):

Rosa Meo ◽

Maristella Matera

Keyword(s):

Web Applications ◽

Conceptual Modeling ◽

Modeling Language ◽

Frequent Patterns ◽

Application Management ◽

Modeling Methods ◽

Web Logs ◽

Dynamic Web ◽

The Web

In this chapter, we present the usage of a modeling language, WebML, for the design and the management of dynamic Web applications. WebML also makes easier the analysis of the usage of the application contents by the users, even if applications are dynamic. In fact, it makes use of some special-purpose logs, called conceptual logs, generated by the application runtime engine. In this chapter, we report on a case study about the analysis of conceptual logs for testifying to the effectiveness of WebML and its conceptual modeling methods. The methodology of the analysis of the Web logs is based on the datamining paradigm of item sets and frequent patterns, and makes full use of constraints on the conceptual logs’ content. As a consequence, we could obtain many interesting patterns for application management such as recurrent navigation paths, the most frequently visited page’s contents, and anomalies.

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THE ASSESSMENT OF THE VARIATION OF PHYSICO-CHEMICAL SOURCES FOR DRINKING WATER QUALITY USING CHEMOMETRICS: A CASE STUDY AT WATER TREATMENT PLANTS IN KLANG VALLEY

Jurnal Teknologi ◽

10.11113/.v78.4170 ◽

2016 ◽

Vol 78 (11) ◽

Author(s):

Manutha Appa Rwoo ◽

Hafizan Juahir ◽

Nor Malisa Roslan ◽

Mohd Ekhwan Toriman ◽

Azizah Endut ◽

...

Keyword(s):

Water Quality ◽

Heavy Metal ◽

Drinking Water ◽

Quality Parameters ◽

Drinking Water Quality ◽

Water Treatment Plants ◽

Physico Chemical ◽

Drinking Water Samples ◽

Source Of Pollution

This case study characterizes the drinking water quality by using the multivariate technique. The spatial variation of the physico-chemical and heavy metals parameters toxicity with the drinking water quality based on 28 water treatment plants in Selangor, Malaysia from 2009 to 2012 was evaluated. The objectives of this study are to analyze the physio-chemical activities and heavy metals activities in the collected drinking water samples from the treatment plants, and to detect the source of pollution for the most revealing parameters. The discriminant analysis (DA) and the principal component analysis (PCA) are the chemometric techniques used to investigate the spatial variation of the most significant physico-chemical and heavy metal parameters of the drinking water samples. The classification matrix accuracy for standard mode of DA, forward stepwise and backward stepwise for the physico-chemical and heavy metal parameters are excellent. PCA highlighted 13 significant parameters out of 18 physico-chemical water quality parameters and 14 significant parameters out of 16 heavy metal parameters. PCA was carried out to identify the origin and source of pollution of each water quality parameters. For that reason, this study proves that chemometric method is the principle way to explain the characteristic of the drinking water quality.

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