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  • 1
    Electronic Resource
    Electronic Resource
    R&D project selection and scheduling for organizations facing product obsolescence (1995)
    Oxford, UK : Blackwell Publishing Ltd
    R & D management 25 (1995), S. 0 
    Details
    ISSN: 1467-9310
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: Research and development is very crucial in an organization that faces rapid product obsolescence. Our thesis is that R&D project scheduling and resource planning should be born out of the optimum product launch plan which, in turn, should be in adherence to the growth rate targeted by the organization. Such an approach would ensure that the R&D activities of the organization are in tune with the Organization's goals. The absence of such coordinated R&D planning would hamper the productivity and profitability of the organization. This paper attempts to develop a methodology and model that would enable the streamlining of R&D project schedule. A real life case application has also been illustrated.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1467-9310.1995.tb00900.x
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    Paper (German National Licenses)
    Fulltext
  • 2
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    Towards a Secure and Scalable IoT Infrastructure: A Pilot Deployment for a Smart Water Monitoring System (2020)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2020-09-26
    Description: Recent growth in the Internet of Things (IoT) looks promising for realizing a smart environment of the future. However, concerns about the security of IoT devices are escalating as they are inherently constrained by limited resources, heterogeneity, and lack of standard security controls or protocols. Due to their inability to support state-of-the-art secure network protocols and defense mechanisms, standard security solutions are unsuitable for dynamic IoT environments that require large and smart IoT infrastructure deployments. At present, the IoT based smart environment deployments predominantly use cloud-centric approaches to enable continuous and on-demand data exchange that leads to further security and privacy risks. While standard security protocols, such as Virtual Private Networks (VPNs), have been explored for certain IoT environments recently, the implementation models reported have several variations and are not practically scalable for any dynamically scalable IoT deployment. This paper addresses current drawbacks in providing the required flexibility, interoperability, scalability, and low-cost practical viability of a secure IoT infrastructure. We propose an adaptive end-to-end security model that supports the defense requirements for a scalable IoT infrastructure. With low-cost embedded controllers, such as the Raspberry Pi, allowing for the convergence of more sophisticated networking protocols to be embedded at the IoT monitoring interface, we propose a scalable IoT security model integrating both the IoT devices and the controller as one embedded device. Our approach is unique, with a focus on the integration of a security protocol at the embedded interface. In addition, we demonstrate a prototype implementation of our IoT security model for a smart water monitoring system. We believe that our modest first step would instill future research interests in this direction.
    Electronic ISSN: 2227-7080
    Topics: Technology
    Published by Molecular Diversity Preservation International
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  • 3
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    Vehicular Alarm System Using mHealth Data and Lightweight Security Algorithms (2019)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2019-02-17
    Description: Among the various factors affecting long distance driving are the risks imposed by a driver’s health, which could result in road accidents. Internet of Things (IoT) and mobile health (mHealth) technologies are increasingly being recognized for their role in monitoring various health parameters of such drivers. IoT devices such as wearable devices could be used efficiently in vehicles by professional long-distance drivers. However, the adoption of such technologies is limited by security and privacy issues. This paper proposes a novel vehicular alarm notification system by integrating mHealth data of the driver with vehicular data for improving vehicle safety. The purpose of the system is to minimize road accidents by integrating the emerging mHealth technologies with the vehicular information system (VIS) using wireless body area network sensors and devices in a secure and lightweight framework. An integrated secure system could facilitate adoptability to provide timely notifications of emergencies to drivers in order to avoid road accidents and take appropriate follow-up actions. Furthermore, the information gathered by the integrated system could assist health service providers to address the driver’s root cause of potential health risks. The lightweight security framework adopted in this study is based on an efficient trust model that can improve the adoption of an mHealth integrated vehicular alarm notification system. Our contribution is to provide a real-time alarm notification service to avoid potential traffic accidents by monitoring the health status of long-distance drivers, achieved through incorporating an affordable and lightweight security system to secure health data transfer.
    Electronic ISSN: 2227-7080
    Topics: Technology
    Published by Molecular Diversity Preservation International
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  • 4
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    Challenges and Success Factors of ERP Systems in Australian SMEs (2016)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2016-05-05
    Electronic ISSN: 2079-8954
    Topics: Technology
    Published by Molecular Diversity Preservation International
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  • 5
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    Communities of Practice Approach for Knowledge Management Systems (2018)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2018-09-27
    Description: In this digital world, organisations are facing global competition as well as manpower pressures leading towards the knowledge economy, which heavily impacts on their local and international businesses. The trend is to foster collaboration and knowledge sharing to cope with these problems. With the advancement of technologies and social engineering that can connect people in the virtual world across time and distance, several organisations are embarking on knowledge management (KM) systems, implementing a community of practice (CoP) approach. However, virtual communities are relatively new paradigms, and there are several challenges to their successful implementation from an organisation’s point of interest. There is lack of CoP implementation framework that can cater to today’s dynamic business and sustainability requirements. To fill the gap in literature, this paper develops a practical framework for a CoP implementation with a view to align KM strategy with business strategy of an organization. It explores the different steps of building, sharing, and using tacit and explicit knowledge in CoPs by applying the Wiig KM cycle. It proposes a practical CoP implementation framework that adopts the Benefits, Tools, Organisation, People and Process (BTOPP) model in addressing the key questions surrounding each of the BTOPP elements with a structured approach. Finally, it identifies key challenges such as organizational culture and performance measurements, and provides practical recommendations to overcome them for a successful CoP implementation.
    Electronic ISSN: 2079-8954
    Topics: Technology
    Published by Molecular Diversity Preservation International
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  • 6
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    MOBDA: Microservice-Oriented Big Data Architecture for Smart City Transport Systems (2020)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2020-07-09
    Description: Highly populated cities depend highly on intelligent transportation systems (ITSs) for reliable and efficient resource utilization and traffic management. Current transportation systems struggle to meet different stakeholder expectations while trying their best to optimize resources in providing various transport services. This paper proposes a Microservice-Oriented Big Data Architecture (MOBDA) incorporating data processing techniques, such as predictive modelling for achieving smart transportation and analytics microservices required towards smart cities of the future. We postulate key transportation metrics applied on various sources of transportation data to serve this objective. A novel hybrid architecture is proposed to combine stream processing and batch processing of big data for a smart computation of microservice-oriented transportation metrics that can serve the different needs of stakeholders. Development of such an architecture for smart transportation and analytics will improve the predictability of transport supply for transport providers and transport authority as well as enhance consumer satisfaction during peak periods.
    Electronic ISSN: 2504-2289
    Topics: Computer Science
    Published by Molecular Diversity Preservation International
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  • 7
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    An Enhanced Inference Algorithm for Data Sampling Efficiency and Accuracy Using Periodic Beacons and Optimization (2019)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2019-01-16
    Description: Transferring data from a sensor or monitoring device in electronic health, vehicular informatics, or Internet of Things (IoT) networks has had the enduring challenge of improving data accuracy with relative efficiency. Previous works have proposed the use of an inference system at the sensor device to minimize the data transfer frequency as well as the size of data to save network usage and battery resources. This has been implemented using various algorithms in sampling and inference, with a tradeoff between accuracy and efficiency. This paper proposes to enhance the accuracy without compromising efficiency by introducing new algorithms in sampling through a hybrid inference method. The experimental results show that accuracy can be significantly improved, whilst the efficiency is not diminished. These algorithms will contribute to saving operation and maintenance costs in data sampling, where resources of computational and battery are constrained and limited, such as in wireless personal area networks emerged with IoT networks.
    Electronic ISSN: 2504-2289
    Topics: Computer Science
    Published by Molecular Diversity Preservation International
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  • 8
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    Process Innovation and Improvement Using Business Object-Oriented Process Modelling (BOOPM) Framework (2019)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2019-07-18
    Description: In the past decades, a number of methodologies have been proposed to innovate and improve business processes that play an important role in enhancing the operational efficiency of an organisation in order to attain business competitiveness. Traditional business process modelling (BPM) approaches are process-centric and focus on the workflow, ignoring the data modelling aspects that are essential for today’s data-centric landscape of modern businesses. Hence, a majority of BPM initiatives have failed in several organisations due to the lack of data-driven insights into their business performance. On the other hand, the information systems of today focus more on dataflows using object-oriented modelling (OOM) approaches. Even standard OOM approaches, such as unified modelling language (UML) methods, exhibit inherent weaknesses due to their lack of formalized innovation with business objects and the dynamic control-flows of complex business processes. In addition to these issues, both BPM and OOM approaches have been augmented with an array of complex software tools and techniques which have confused businesses. There is a lack of a common generalized framework that integrates the well-formalised control-flow based BPM approach and the dataflow based OOM approach that is suitable for today’s enterprise systems in order to support organisations to achieve successful business process improvements. This paper takes a modest step to fill this gap. We propose a framework using a structured six-step business process modelling (BPM) guideline combined with a business object-oriented methodology (BOOM) in a unique and practical way that could be adopted for improving an organisation’s process efficiency and business performance in contemporary enterprise systems. Our proposed business object-oriented process modelling (BOOPM) framework is applied to a business case study in order to demonstrate the practical implementation and process efficiency improvements that can be achieved in enterprise systems using such a structured and integrated approach.
    Electronic ISSN: 2571-5577
    Topics: Electrical Engineering, Measurement and Control Technology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Molecular Diversity Preservation International
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  • 9
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    Trusted Time-Based Verification Model for Automatic Man-in-the-Middle Attack Detection in Cybersecurity (2018)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2018-12-05
    Description: Due to the prevalence and constantly increasing risk of cyber-attacks, new and evolving security mechanisms are required to protect information and networks and ensure the basic security principles of confidentiality, integrity, and availability—referred to as the CIA triad. While confidentiality and integrity can be achieved using Secure Sockets Layer (SSL)/Transport Layer Security (TLS) certificates, these depend on the correct authentication of servers, which could be compromised due to man-in-the-middle (MITM) attacks. Many existing solutions have practical limitations due to their operational complexity, deployment costs, as well as adversaries. We propose a novel scheme to detect MITM attacks with minimal intervention and workload to the network and systems. Our proposed model applies a novel inferencing scheme for detecting true anomalies in transmission time at a trusted time server (TTS) using time-based verification of sent and received messages. The key contribution of this paper is the ability to automatically detect MITM attacks with trusted verification of the transmission time using a learning-based inferencing algorithm. When used in conjunction with existing systems, such as intrusion detection systems (IDS), which require comprehensive configuration and network resource costs, it can provide a robust solution that addresses these practical limitations while saving costs by providing assurance.
    Electronic ISSN: 2410-387X
    Topics: Computer Science
    Published by Molecular Diversity Preservation International
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  • 10
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    A Proposed Business Intelligent Framework for Recommender Systems (2017)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2017-11-15
    Electronic ISSN: 2227-9709
    Topics: Computer Science
    Published by Molecular Diversity Preservation International
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