e-Business systems integration: a systems perspective

Wang, Song; Li, Ling; Wang, Kanliang; Jones, James D.

doi:10.1007/s10799-012-0119-8

Cited by 42 publications

(16 citation statements)

References 146 publications

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“…To integrate the devices of sensing layers as intrinsic parts of the IoT, effective security technology is essential to ensure security and privacy protection in various activities such as personal activities, business processes, transportations, and information protection (Tan et al [19]; Wang et al [20]; Xing et al [21]). The applications of IoT might be affected by pervasive threats such as RFID tags attacks and data leakage.…”

Section: Security Of Thingsmentioning

confidence: 99%

The Internet of Things: Economic and Industrial Dimensions

Gottinger¹

2017

IJBER

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Abstract:The paper shows how the Internet has moved to a radical expansion with the Internet of Things (IoT) with everything being connected up to a scale of aggregate capacity and complexity. It could evolve into a network where not only each node could be a computational device but by itself would also be an intelligent computing device that could replace human supervision and control as through Artificial Intelligence (AI). The Internet of Things (IoT) as being embedded in the 'Industrial Internet' (IIoT) is a new paradigm shift that comprehensively affects computers and networking technology. In German industry and beyond this is referred to as 'Industry 4.0'. This technology is going to increase utilization and diversified connectivity followed by Bandwidth of the Internet. More and more (intelligent) devices in this network are connected to the Internet through various combinations of sensor networks.

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Section: Security Of Thingsmentioning

confidence: 99%

The Internet of Things: Economic and Industrial Dimensions

Gottinger¹

2017

IJBER

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“…In this kind of scenario, the communication between the players is important for collaborative work, and this is achieved by providing reliable connection among the smart devices [21][22][23][24][25]. However, in real time, offering continuous availability is a real challenge due to disruption or attenuation of signal medium that results in disconnection with their peers.…”

Section: Introductionmentioning

confidence: 99%

“…If there is a failure in connecting medium, the device has to shift to other medium for nonstop communication among the players. In addition to that, mission requires video streaming of intervention area, group call between the players, etc., that will deplete the battery power of devices [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things-Based Multisensor Non-Invasive Technology for Robusmonitoring of Tunneling Infrastructure

Rai

2017

Asian J Pharm Clin Res

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Objective: Tunneling is primarily one of the most expensive and uncertain endeavors in civil engineering. Hence, it is essential to explicitly quantify to consider all factors which in aid contribute toward uncertainty in terms of cost, time, and resources.Method: This research work provides major internet of things (IoT)-based computational and analytical tools for automating the non-invasive structure monitoring methods to provide decision aids in tunneling. Such decision aids technologies for tunneling process comprises multisensory networks for monitoring of structure, smart video cameras for geo-traffic monitoring and supported excavation during accidents, and light detection and ranging technology for mapping deformations in the structures. Results and Discussion:The presented research will reduce uncertainties, and information can be used to monitoring future risks. This work extends IoT-based multisensory network system to achieve complex tunnel systems to develop a framework which will allow the experience gained from past projects to update predictions about cost of construction in conjunction with time as the construction takes place.

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“…Enterprise application integration (EAI) technology uses various methods and tools to enable the distributed EIS to connect to each other so that they work as a whole (Xu 2011b;Panetto and Cecil 2013;Wang et al 2012). The recent technology trend is to merge the traditional middleware-based EAI approaches with emerging disciplines such as Business Process Management (BPM) and Service-oriented Architecture (SOA) (Xu 2011b;He and Xu 2014).…”

Section: Introductionmentioning

confidence: 99%

Supporting BPMN choreography with system integration artefacts for enterprise process collaboration

Nie

Lü

Duan

2014

Enterprise Information Systems

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Business Process Model and Notation (BPMN) choreography modelling depicts externally visible message exchanges between collaborating processes of enterprise information systems. Implementation of choreography relies on designing system integration solutions to realise message exchanges between independently developed systems. Enterprise integration patterns (EIPs) are widely accepted artefacts to design integration solutions. If the choreography model represents coordination requirements between processes with behaviour mismatches, the integration designer needs to analyse the routing requirements and address these requirements by manually designing EIP message routers. As collaboration scales and complexity increases, manual design becomes inefficient. Thus, the research problem of this paper is to explore a method to automatically identify routing requirements from BPMN choreography model and to accordingly design routing in the integration solution. To achieve this goal, recurring behaviour mismatch scenarios are analysed as patterns, and corresponding solutions are proposed as EIP routers. Using this method, a choreography model can be analysed by computer to identify occurrences of mismatch patterns, leading to corresponding router selection. A case study demonstrates that the proposed method enables computer-assisted integration design to implement choreography. A further experiment reveals that the method is effective to improve the design quality and reduce time cost.

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e-Business systems integration: a systems perspective

Cited by 42 publications

References 146 publications

The Internet of Things: Economic and Industrial Dimensions

The Internet of Things: Economic and Industrial Dimensions

Internet of Things-Based Multisensor Non-Invasive Technology for Robusmonitoring of Tunneling Infrastructure

Supporting BPMN choreography with system integration artefacts for enterprise process collaboration

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