Smart Engineering as Enabler for the 4th Industrial Revolution

Abramovici, Michael; Göbel, Jens Christian; Neges, Matthias

doi:10.1007/978-3-319-15898-3_10

Cited by 49 publications

(22 citation statements)

References 7 publications

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“…Through ICT innovations, Industrie 4.0 will provide game changing capabilities for new approaches and methods, e.g. visualization of augmented reality based maintenance by using smart devices in real-time (Abramovici et al 2015). A Core element in Industire 4.0 is the Cyber Physical System (CPS) (Kagermann et al 2013).…”

Section: Asset Management and Industrie 40mentioning

confidence: 99%

Integrated Planning in Autonomous Shipping—Application of Maintenance Management and KPIs

Rødseth

2016

Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)

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Within the maritime sector, a vision has been established which comprise safe, sustainable and efficient waterborne transport (1), competitive European waterborne industry (2), and growth in transport volumes and changes in trade patterns (3). This vision, in combination of increasing interest for reducing operating costs, has resulted in the concept of "Autonomous Ship" and unmanned shipping. In order to realise this concept in the operation phase, a robust maintenance concept must be developed. The purpose of this paper is therefore to evaluate a maintenance management concept for unmanned shipping based on a storyboard approach. In particular both maintenance key performance indicators (KPIs) and technical issues such as leakage through piston rings are evaluated in this maintenance concept. The result in this paper is an Integrated Planning concept for unmanned shipping. This planning concept will enable faster and better decisions between the maintenance department and other offices which are responsible for operating the vessels. As a conclusion both leading and lagging KPIs must be included in IPL and aligned with existing Asset Management standards.

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Section: Asset Management and Industrie 40mentioning

confidence: 99%

Integrated Planning in Autonomous Shipping—Application of Maintenance Management and KPIs

Rødseth

2016

Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)

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“…Following the stream of the 4th Industrial Revolution, the IoT technology is becoming more and more intelligent and transforming into a high advanced stage [15]. By communicating and collaborating with each other, the IoT equipment pervades our daily lives through IoT-related services.…”

Section: Intelligent Iot Applicationsmentioning

confidence: 99%

“…Furthermore, the emotions associated with music are very subjective, so it is very difficult to objectively measure them. Therefore, when we conduct a survey on the emotions associated with music, we use the general well-known circumplex emotional model [15] and examine the emotions of participants according to two measures: valence and arousal.…”

Section: Step 1-1: Survey Emotions From Participantsmentioning

confidence: 99%

Automatic Emotion-Based Music Classification for Supporting Intelligent IoT Applications

Seo

Huh

2019

Electronics

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With the arrival of the fourth industrial revolution, new technologies that integrate emotional intelligence into existing IoT applications are being studied. Of these technologies, emotional analysis research for providing various music services has received increasing attention in recent years. In this paper, we propose an emotion-based automatic music classification method to classify music with high accuracy according to the emotional range of people. In particular, when the new (unlearned) songs are added to a music-related IoT application, it is necessary to build mechanisms to classify them automatically based on the emotion of humans. This point is one of the practical issues for developing the applications. A survey for collecting emotional data is conducted based on the emotional model. In addition, music features are derived by discussing with the working group in a small and medium-sized enterprise. Emotion classification is carried out using multiple regression analysis and support vector machine. The experimental results show that the proposed method identifies most of induced emotions felt by music listeners and accordingly classifies music successfully. In addition, comparative analysis is performed with different classification algorithms, such as random forest, deep neural network and K-nearest neighbor, as well as support vector machine.

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“…Thus, the engineering of these smart products and systems will be of crucial importance for the competitiveness of industrial companies. There is a need for new smart engineering approaches, which also use the latest ICT innovation [23]. Several initiatives throughout industry and academia are emerging to address the next generation of advances in the IoT space, industrial Internet, and Internet of systems (IoS) and the exciting possibilities from research in cyberphysical systems [1,24].…”

Section: Industry 40 and Cyberphysical Systems (Cps): Anmentioning

confidence: 99%

Collaborative Cloud Manufacturing: Design of Business Model Innovations Enabled by Cyberphysical Systems in Distributed Manufacturing Systems

Rauch

Seidenstricker

Dallasega

et al. 2016

Journal of Engineering

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Collaborative cloud manufacturing, as a concept of distributed manufacturing, allows different opportunities for changing the logic of generating and capturing value. Cyberphysical systems and the technologies behind them are the enablers for new business models which have the potential to be disruptive. This paper introduces the topics of distributed manufacturing as well as cyberphysical systems. Furthermore, the main business model clusters of distributed manufacturing systems are described, including collaborative cloud manufacturing. The paper aims to provide support for developing business model innovations based on collaborative cloud manufacturing. Therefore, three business model architecture types of a differentiated business logic are discussed, taking into consideration the parameters which have an influence and the design of the business model and its architecture. As a result, new business models can be developed systematically and new ideas can be generated to boost the concept of collaborative cloud manufacturing within all sustainable business models.

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Smart Engineering as Enabler for the 4th Industrial Revolution

Cited by 49 publications

References 7 publications

Integrated Planning in Autonomous Shipping—Application of Maintenance Management and KPIs

Integrated Planning in Autonomous Shipping—Application of Maintenance Management and KPIs

Automatic Emotion-Based Music Classification for Supporting Intelligent IoT Applications

Collaborative Cloud Manufacturing: Design of Business Model Innovations Enabled by Cyberphysical Systems in Distributed Manufacturing Systems

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