A Survey of Internet of Things and Big Data integrated Solutions for Industrie 4.0

Al-Gumaei, Khaled; Schuba, Kornelia; Friesen, Andrej; Heymann, Sascha; Pieper, Carsten; Pethig, Florian; Schriegel, Sebastian

doi:10.1109/etfa.2018.8502484

Cited by 48 publications

(23 citation statements)

References 13 publications

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“…IoT devices and things represent the backbone for smart city systems -providing an infrastructure for digital services -in the form of smart transportation [29], healthcare [30], urban planning [14], and industrial automation [31]. Academic research and industrial solutions are in a continuous pursuit to empirically derive and validate processes, methods, and tools of software engineering, architectural patterns, design patterns and development methods to develop solutions for IoT-DA [3].…”

Section: A3 Engineering Of Iot-driven Data Analytics Applicationsmentioning

confidence: 99%

Software Engineering for IoT-Driven Data Analytics Applications

et al. 2021

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Internet of Things Driven Data Analytics (IoT-DA) has the potential to excel data-driven operationalisation of smart environments. However, limited research exists on how IoT-DA applications are designed, implemented, operationalised, and evolved in the context of software and system engineering life-cycle. This article empirically derives a framework that could be used to systematically investigate the role of software engineering (SE) processes and their underlying practices to engineer IoT-DA applications. First, using existing frameworks and taxonomies, we develop an evaluation framework to evaluate software processes, methods, and other artefacts of SE for IoT-DA. Secondly, we perform a systematic mapping study to qualitatively select 16 processes (from academic research and industrial solutions) of SE for IoT-DA. Thirdly, we apply our developed evaluation framework based on 17 distinct criterion (a.k.a. process activities) for fine-grained investigation of each of the 16 SE processes. Fourthly, we apply our proposed framework on a case study to demonstrate development of an IoT-DA healthcare application. Finally, we highlight key challenges, recommended practices, and the lessons learnt based on framework's support for process-centric software engineering of IoT-DA. The results of this research can facilitate researchers and practitioners to engineer emerging and next-generation of IoT-DA software applications.

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Section: A3 Engineering Of Iot-driven Data Analytics Applicationsmentioning

confidence: 99%

Software Engineering for IoT-Driven Data Analytics Applications

et al. 2021

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“…Con el avance del concepto de industria 4.0, una de las áreas que mayor crecimiento presentará en los próximos años será la relacionada con la robótica industrial. Al integrar a estos equipos los avances tecnológicos actuales tales como: reconocimiento de imágenes, sensores inteligentes, deep learning, big data, etc., los robots serán cada vez más versátiles y fácil de manejar [1]. Al contar con los datos generados por los sensores involucrados en su operación, los robots serán más fáciles de configurarse por medio de auto aprendizaje en lugar de una programación previa.…”

Section: Introductionunclassified

Design and Construction of the Mechanical Structure of an SCARA Type Arm for Didactic Use

Godínez-Bravo¹,

Chavez²,

Magos-Rivera³

et al. 2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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Robotics is one of the branches of engineering that will play a very important role in the Industry 4.0 scheme. One way for Higher Education Institutions to have robotic devices without incurring high costs is through self-equipment. This paper presents the design and construction of the mechanical structure of a robotic arm type SCARA for teaching applications. The prototype has 3 degrees of freedom and a maximum operating radius of 35 cm. Using a suction cup, it is possible to move objects with a maximum weight of 200 grams. Arm movements are performed by stepper motors. Each degree of freedom has associated limit switches that will serve to limit the movements of the robotic arm when controlling its operation. Preliminary tests of operation show that the movements of the system are correct and are within the established values for the equipment.

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“…The projection of the Internet of Things (IoT) technology is to give every real object a virtual reality, bringing about an unprecedented connectivity of things more than ever before. In the years ahead, the Internet of Things will have major impact on business models [3]- [7], agriculture [8], [9], transportation [10]- [12], automated industrial processes [13]- [15], homes [16], [17], infrastructure, security, trade standards, and much more. However, as interesting and promising as the projection of the complete actualization of the IoT technology sounds, this advancement is going to be closely accompanied by myriads of challenges -including security.…”

mentioning

confidence: 99%

Efficient Security Algorithm for Power-Constrained IoT Devices

Mamvong

Goteng

Zhou

et al. 2021

IEEE Internet Things J.

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Internet of Things (IoT) devices characterized by low power and low processing capabilities do not exactly fit into the provision of existing security techniques, due to their constrained nature. Classical security algorithms which are built on complex cryptographic functions often require a level of processing that low power IoT devices are incapable to effectively achieve due to limited power and processing resources. Consequently, the option for constrained IoT devices lies in either developing new security schemes or modifying existing ones to be more suitable for constrained IoT devices. In this work, an Efficient security Algorithm for Constrained IoT devices; based on the Advanced Encryption Standard is proposed. We present a cryptanalytic overview of the consequence of complexity reduction together with a supporting mathematical justification, and provisioned a secure element (ATECC608A) as a trade-off. The ATECC608A doubles for authentication and guarding against implementation attacks on the associated IoT device (ARM Cortex M4 microprocessor) in line with our analysis. The software implementation of the efficient algorithm for constrained IoT devices shows up to 35% reduction in the time it takes to complete the encryption of a single block (16bytes) of plain text, in comparison to the currently used standard AES-128 algorithm, and in comparison to current results in literature at 26.6%

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A Survey of Internet of Things and Big Data integrated Solutions for Industrie 4.0

Cited by 48 publications

References 13 publications

Software Engineering for IoT-Driven Data Analytics Applications

Software Engineering for IoT-Driven Data Analytics Applications

Design and Construction of the Mechanical Structure of an SCARA Type Arm for Didactic Use

Efficient Security Algorithm for Power-Constrained IoT Devices

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