Rapid System Development

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M Benghanem - One of the best experts on this subject based on the ideXlab platform.

  • a low cost wireless data acquisition System for weather station monitoring
    Renewable Energy, 2010
    Co-Authors: M Benghanem
    Abstract:

    In this paper, the Development of wireless data acquisition System (WDAS) for weather station monitoring is described. It is based on the Emitter/Receiver architecture and it does not require the physical connection of the monitored Systems to the data collection server. The proposed System consists of a set of sensors for measuring meteorological parameters (solar radiation, temperature, humidity, pressure, wind speed & direction, rain fall, etc.). The collected data are first conditioned using precision electronic circuits and then interfaced to a PC using RS232 connection via wireless unit. The LabVIEW program is used to further process, display and store the collected data in the PC disk. The proposed architecture permits the Rapid System Development and has the advantage of flexibility and it can be easily extended for controlling the renewable energy Systems like photovoltaic System. The measured parameters are available on-line over the internet to any user.

  • measurement of meteorological data based on wireless data acquisition System monitoring
    Applied Energy, 2009
    Co-Authors: M Benghanem
    Abstract:

    Estimation of solar energy potential of a region requires detailed solar radiation climatology, and it is necessary to collect extensive radiation data of high accuracy covering all climatic zones of the region. In this regard, a wireless data acquisition System (WDAS) would help to estimate solar energy potential considering the remote region's energy requirement. This article explains the design and implementation of WDAS for assessment of solar energy. The proposed System consists of a set of sensors for measuring meteorological parameters. The collected data are first conditioned using precision electronic circuits and then interfaced to a PC using RS232 connection via wireless unit. The LabVIEW program is used to further process, display and store the collected data in the PC disk. The proposed architecture permits the Rapid System Development and has the advantage of flexibility and it can be easily extended for controlling the renewable energy Systems like photovoltaic System. The WDAS with executive information Systems and reporting tools helps to tap vast data resources and deliver information.

Mohammadreza Asghari Oskoei - One of the best experts on this subject based on the ideXlab platform.

  • EST - ROS Based Multi-sensor Navigation of Intelligent Wheelchair
    2013 Fourth International Conference on Emerging Security Technologies, 2013
    Co-Authors: Mohammadreza Asghari Oskoei, Klaus D. Mcdonald-maier
    Abstract:

    Our society is moving towards an ageing society and the number of population with physical impairments and disabilities will increase dramatically. It is necessary to provide mobility support to these people so that they can live independently at home and integrated into the society. This paper presents a ROS (Robot Operating System) based multi-sensor navigation for an intelligent wheelchair that can help the elderly and disabled people. ROS provides an easy to use framework for Rapid System Development at a reduced cost. Some experimental results are given in the paper to demonstrate the feasibility and performance of the developed System.

  • SMC - Towards ROS Based Multi-robot Architecture for Ambient Assisted Living
    2013 IEEE International Conference on Systems Man and Cybernetics, 2013
    Co-Authors: Mohammadreza Asghari Oskoei
    Abstract:

    The demographic trend is towards ageing in our society and the number of people with physical impairments and disabilities will increase dramatically in the future. It is necessary to deliver advanced healthcare and services to these people so that they can live independently and stay well at home throughout their lifespan. This paper presents a multi-robot architecture for ambient assisted living of the elderly and disabled, which is based on the robot operating System (ROS). A communication bridge is proposed for different means of human robot interaction, and ROS provides a framework for Rapid System Development with a reduced cost. Some experimental results are given in the paper to demonstrate the feasibility and performance of the proposed System.

Nor Bahiah Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • Variability Management in Software Product Lines Online Learning Applications
    Journal of Telecommunication Electronic and Computer Engineering, 2017
    Co-Authors: Suhaina Mohamed Zaki, Radziah Mohamad, Shahliza Abd Halim, Nor Bahiah Ahmad
    Abstract:

    The process of learning and teaching online learning has undergone many changes in line with technological Developments. Education institutions have begun introducing new methods of learning this. However, it needs a huge amount of labor intensive to produce and maintain educational technologies due to its huge size (literacy, vocational education, school education, engineering and medical education) and huge variants (language, dialect). With the growing demand and at the same time would like to reduce the factor of cost, time and effort is long, then the need for an effective solution allowing Rapid System Development. A Software Product Line (SPL) approach is one of the best methods that can be used to develop an educational software family. This research focuses on core asset by recognizing and representing variability in variability management. The study employed two phases of activities in data gathering, there are filtering out data from secondary sources which detail out the features of e-learning and constructivist learning environment of each Virtual Learning Environment (VLE). Second phase involved the use of expert interviews to determine the features of each higher institution elearning and identify Primitive Requirement of Malaysian Higher Education online learning. Commonality and Variability Analysis (CV Analysis) method has been used as identification of commonality and variability. This analysis is to develop a feature model which further helps in visual representation variants requirements and enhance reusability in the context of product line approaches. As a result, there are 20 Primitive Requirements (PR) has been identified and clearly divided into two categories, common and optional. The frequency in each application of online learning is used to determine whether the PR is reusable. The identification and representation will increase the potential for reuse and help in publishing the specific requirements of the application in the Development of the product line.

  • Learning environment for software product lines online learning applications
    2017 8th International Conference on Information Technology (ICIT), 2017
    Co-Authors: Suhaina Mohamed Zaki, Radziah Mohamad, Shahliza Abd Halim, Nor Bahiah Ahmad
    Abstract:

    The process of learning and teaching online learning has undergone many changes in line with technological Developments. Education institutions have begun introducing new methods of learning this. However, it needs a huge amount of labor intensive to produce and maintain educational technologies due to its huge size (literacy, vocational education, school education, engineering and medical education) and huge variants (language, dialect). With the growing demand and at the same time would like to reduce the factor of cost, time and effort is long, then the need for an effective solution allowing Rapid System Development. A Software Product Line (SPL) approach is one of the best methods that can be used to develop an educational software family. The research contributes to the Development of online learning SPL by studying issues in online learning SPL, identify appropriate pedagogical approach to online learning environment that is constructivism, and designing constructivist learning environment based on the theory of constructivism and design principles. In this paper, comparison between 10 VLE was tabulated against constructivist learning environment. The comparative evaluation is to discover commonalities and variabilities between online learning applications. The results should be useful as the process of domain analysis that is to document the commonalities and variabilities between SPL members. Hence, it can be used to enhance the feature model for online learning applications.

Jun Zhou - One of the best experts on this subject based on the ideXlab platform.

  • Model-Driven Development Patterns for Mobile Services in Cloud of Things
    IEEE Transactions on Cloud Computing, 2018
    Co-Authors: Hongming Cai, Yizhi Gu, Athanasios V. Vasilakos, Boyi Xu, Jun Zhou
    Abstract:

    Cloud of Things (CoT) is an integration of Internet of Things (IoT) and cloud computing for intelligent and smart application especially in mobile environment. Model Driven Architecture (MDA) is used to develop Software as a Service (SaaS) so as to facilitate mobile application Development by relieving developers from technical details. However, traditional service composition or mashup are somewhat unavailable due to complex relations and heterogeneous deployed environments. For the purpose of building cloud-enabled mobile applications in a configurable and adaptive way, Model-Driven Development Patterns based on semantic reasoning mechanism are provided towards CoT application Development. Firstly, a meta-model covering both multi-view business elements and service components are provided for model transformation. Then, based on formal representation of models, three patterns from different tiers of Model-View-Controller (MVC) framework are used to transform business models into service component System so as to configure cloud services Rapidly. Lastly, a related software platform is also provided for verification. The result shows that the platform is applicable for Rapid System Development by means of various service integration patterns.

Nabendu Chaki - One of the best experts on this subject based on the ideXlab platform.

  • Things as a Service: Service model for IoT
    2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019
    Co-Authors: Amit Kr Mandal, Anirban Sarkar, Agostino Cortesi, Nabendu Chaki
    Abstract:

    Leveraging the benefits of service computing technologies for Internet of Things (IoT) can help in Rapid System Development, composition and deployment. But due to the massive scale, computational and communication constraints, existing software service models cannot be directly applied for IoT based Systems. Service discovery and composition mechanism need to be decentralized unlike majority of other service models. Moreover, IoT services’ interfaces require to be light weight and able to expose the device profile for seamless discovery onto the IoT based System infrastructure. In addition to this, the "things" data should be associated with its present context. To address these issues, this paper proposes a formal model for IoT services. The service model includes the physical property of "things" and exposes it to the user. It also associates the context with the "things" output, which in turn helps in extracting relevant information from the "things" data. To evaluate our IoT service model, a weather monitoring System and its associated services are implemented using node.js [31]. The service data is mapped to SSN ontology for generating context-rich RDF data. This way, the proposed IoT service model can expose the device profile to the user and incorporate relevant context information with the things data.

  • INDIN - Things as a Service: Service model for IoT
    2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019
    Co-Authors: Amit Kr Mandal, Anirban Sarkar, Agostino Cortesi, Nabendu Chaki
    Abstract:

    Leveraging the benefits of service computing technologies for Internet of Things (IoT) can help in Rapid System Development, composition and deployment. But due to the massive scale, computational and communication constraints, existing software service models cannot be directly applied for IoT based Systems. Service discovery and composition mechanism need to be decentralized unlike majority of other service models. Moreover, IoT services’ interfaces require to be light weight and able to expose the device profile for seamless discovery onto the IoT based System infrastructure. In addition to this, the "things" data should be associated with its present context. To address these issues, this paper proposes a formal model for IoT services. The service model includes the physical property of "things" and exposes it to the user. It also associates the context with the "things" output, which in turn helps in extracting relevant information from the "things" data. To evaluate our IoT service model, a weather monitoring System and its associated services are implemented using node.js [31]. The service data is mapped to SSN ontology for generating context-rich RDF data. This way, the proposed IoT service model can expose the device profile to the user and incorporate relevant context information with the things data.