scholarly journals Lab-on-Spoon – a 3-D integrated hand-held multi-sensor system for low-cost food quality, safety, and processing monitoring in assisted-living systems

2015 ◽  
Vol 4 (1) ◽  
pp. 63-75 ◽  
Author(s):  
A. König ◽  
K. Thongpull
Keyword(s):  
Assisted Living ◽  
Industry 4.0 ◽  
Ambient Intelligence ◽  
Sensory Feedback ◽  
Low Cost ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Front End ◽  
Future Work ◽  
The Internet Of Things

Abstract. Distributed integrated sensory systems enjoy increasing impact leveraged by the surging advance of sensor, communication, and integration technology in, e.g., the Internet of Things, cyber-physical systems, Industry 4.0, and ambient intelligence/assisted-living applications. Smart kitchens and "white goods" in general have become an active field of R&D. The goal of our research is to provide assistance for unskilled or challenged consumers by efficient sensory feedback or context on ingredient quality and cooking step results, which explicitly includes decay and contamination detection. As one front end of such a culinary-assistance system, an integrated, multi-sensor, low-cost, autonomous, smart spoon device, denoted as Lab-on-Spoon (LoS), has been conceived. The first realized instance presented here features temperature, color, and impedance spectroscopy sensing in a 3-D-printed spoon package. Acquired LoS data are subject to sensor fusion and decision making on the host system. LoS was successfully applied to liquid ingredient recognition and quality assessment, including contamination detection, in several applications, e.g., for glycerol detection in wine. In future work, improvement to sensors, electronics, and algorithms will be pursued to achieve an even more robust, dependable and self-sufficient LoS system.

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

scholarly journals How connectivity and search for producers impact production in Industry 4.0 networks

2018 ◽  
Vol 15 (4) ◽  
pp. 528-534
Author(s):  
Adriano Pereira ◽  
Eugênio De Oliveira Simonetto ◽  
Goran Putnik ◽  
Helio Cristiano Gomes Alves de Castro
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Average Degree ◽  
Collaborative Networks ◽  
Production Network ◽  
Simulation Environment ◽  
Physical Systems ◽  
Study Results ◽  
The Internet Of Things

Technological evolutions lead to changes in production processes; the Fourth Industrial Revolution has been called Industry 4.0, as it integrates Cyber-Physical Systems and the Internet of Things into supply chains. Large complex networks are the core structure of Industry 4.0: any node in a network can demand a task, which can be answered by one node or a set of them, collaboratively, when they are connected. In this paper, the aim is to verify how (i) network's connectivity (average degree) and (ii) the number of levels covered in nodes search impacts the total of production tasks completely performed in the network. To achieve the goal of this paper, two hypotheses were formulated and tested in a computer simulation environment developed based on a modeling and simulation study. Results showed that the higher the network's average degree is (their nodes are more connected), the greater are the number of tasks performed; in addition, generally, the greater are the levels defined in the search for nodes, the more tasks are completely executed. This paper's main limitations are related to the simulation process, which led to a simplification of production process. The results found can be applied in several Industry 4.0 networks, such as additive manufacturing and collaborative networks, and this paper is original due to the use of simulation to test this kind of hypotheses in an Industry 4.0 production network.

Information Processing in Work Environment 4.0 and the Beneficial Impact of Intentional Forgetting on Change Management

2020 ◽  
Vol 64 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Arnulf Sebastian Schüffler ◽  
Christof Thim ◽  
Jennifer Haase ◽  
Norbert Gronau ◽  
Annette Kluge
Keyword(s):  
Work Environment ◽  
Industry 4.0 ◽  
Experimental Approach ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Intentional Forgetting ◽  
Beneficial Impact ◽  
The Internet Of Things

Abstract. Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment ( N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.

scholarly journals The contribution of Industry 4.0 technologies to facility management

2021 ◽  
Vol 13 ◽  
pp. 184797902110241
Author(s):  
G Nota ◽  
D Peluso ◽  
A Toro Lazo
Keyword(s):  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Facility Management ◽  
Management Model ◽  
Industrial Facility ◽  
Economic Implications ◽  
Physical Systems ◽  
Material Resources ◽  
Environmental Interests ◽  
The Internet Of Things

Facility management is an evolving discipline that has received attention from both professionals and researchers in recent years. Modern facility management considers various interests related to material resources, and among others, social and environmental interests. An important opportunity for the improvement of this discipline derives from the introduction of Industry 4.0 technologies for the management of material resources. In this paper, we shall study the problem of industrial facility management, an area with important economic implications. Starting from a facility management model for the maintenance of industrial assets, we develop a general approach to maintenance based on the Internet of Things and Cyber-Physical Systems, which allows us to reason about the implementation of an effective Organisational Facility Management Unit. The objective is the continuous improvement of maintenance activities, from which also derives the improvement of the production process performance.

scholarly journals Modern technologies in Industry 4.0 – cyber-physical systems

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Anna Smyshlyaeva ◽  
Kseniya Reznikova ◽  
Denis Savchenko
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Level Data ◽  
The Internet Of Things ◽  
Modern Technologies

With the advent of the Industry 4.0 concept, the approach to production automation has fundamentally changed. The manufacturing industry is based on such modern technologies as the Internet of Things, Big Data, cloud computing, artificial intelligence and cyber-physical systems. These technologies have proven themselves not only in industry, but also in various other branches of life. In this paper, the authors consider the concept of cyber-physical systems – systems based on the interaction of physical processes with computational ones. The article presents a conceptual model of cyber-physical systems that displays its elements and their interaction. In cyber-physical systems, it represents five levels: physical, network, data storage, processing and analytics level, application level. Cyber-physical systems carry out their work using a basic set of technologies: the Internet of things, big data and cloud computing. Additional technologies are used depending on the purpose of the system. At the physical level, data is collected from physical devices. With the help of the Internet of Things at the network level, data is transferred to a data warehouse for further processing or processed almost immediately thanks to cloud computing. The amount of data in cyber-physical systems is enormous, so it is necessary to use big data technology and effective methods for processing and analyzing this data. The main feature of this technological complex is real-time operation. Despite the improvement in the quality of production and human life, cyber-physical systems have a number of disadvantages. The authors highlight the main problems of cyber-physical systems and promising areas of research for their development. Having solved the listed problems, cyber-physical systems will reach a qualitatively new level of utility. The paper also provides examples of the implementation of concepts such as a smart city, smart grid, smart manufacturing, smart house. These concepts are based on the principle of cyber-physical systems.

scholarly journals Przemysł 4.0 i sztuczna inteligencja: szansa czy zagrożenie dla realizacji koncepcji zrównoważonego i trwałego rozwoju?

2021 ◽  
Vol 65 (1) ◽  
pp. 7-26
Author(s):  
Barbara Siuta-Tokarska ◽  
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Holistic Approach ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
The Internet Of Things ◽  
Industrial Revolutions

This paper discusses the problems connected with visible changes in industry in the context of the consequent four industrial revolutions. The last one is associated with “industry 4.0”, which in turn manifests in the presence of the following constitutive parts (systems): cyber physical systems, the Internet of Things, the Internet of Services and intelligent factories. Another important factor of the ongoing changes is the appearance of a new branch, which tries to comprise in its theoretical divagations the problems discussed in IT, mathematics, neurophysiology, electronics, psychology, anthropology and philosophy. In the experimental area this realm, in turn, is treated as a branch of IT. All these constituents can be defined as artificial intelligence. The aim of this research is an attempt to answer the question posed in the title of the article, taking into consideration the potentially most holistic approach to these problems in the context of sustainable development of the constituent capitals taking into consideration not only the increasing of opportunities but maximizing the benefits in the natural, social and economic spheres.

scholarly journals Application of cognitive technologies for the formation of speech dialogue management models

2019 ◽  
Vol 23 (6) ◽  
pp. 13-21 ◽  
Author(s):  
A. A. Solodov ◽  
Т. G. Trembach
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Cyber Physical Systems ◽  
Cognitive Mechanisms ◽  
Dialogue Management ◽  
Physical Systems ◽  
Management Models ◽  
Mental Operations ◽  
Voice Dialogue ◽  
The Internet Of Things

Purpose of research.  The aim of the study is the use of cognitive technologies for the formation of speech dialogue management models. At present, for the development of the Internet of things, the expansion of communicative opportunities for their interaction, it is important to improve speech dialogue management models in many areas. The need for dialogue can arise between cyber-physical systems, between a person and cyber-physical systems, between users, developers, and administrators. The speech dialogue management models covers many issues related to processing a speech signal, semantic analysis, understanding the meaning of speech, using cognitive mechanisms for interaction, and some others. A special place among them is occupied by the problem of building a speech dialogue between users, developers, and cyberphysical systems. This article is devoted to the consideration of the use of speech dialogue management models of intelligent systems, as well as users, developers, administrators.Materials and methods of research.  New approaches and methods are required to solve the problems within the framework of the Industry 4.0. The industry 4.0 concept represents a variety of technologies, including the creation of cyber-physical systems, a variety of different protocols for their interaction. One of its main directions is the Internet of things. Cognitive mechanisms associated with the formation and application of concrete sensory images, concepts-representations, concepts-frames are used to solve the problems of model formation. To form the abilities and speech skills for the communicative activities of the participants of the interaction within the framework of the Industry 4.0 concept, the methods associated with mastering foreign language technologies were used. The ultimate goal of their use is to achieve the ability to master spontaneous speech in both everyday and professional situations. Mastering a foreign language involves the use of cognitive technologies, which allows you to develop the structure of mental operations.Results.  Some features of the formation of a voice dialogue management model for intelligent systems and the preparation of interaction participants in the framework of the concept — users, developers, and industrial system administrators  –  are considered. The application of cognitive mechanisms for organizing and using the model of speech dialogue management is shown. The use of conceptual representations and scripting concepts in intelligent systems allows us to develop the structure of the world model. The application of cognitive mechanisms for training interaction participants, within the framework of the Industry 4.0 concept, improves their training by improving understanding of the material being studied by building logical connections and a mental model of the material. Using concepts allows you to build mental models of your own thoughts. At the end of all mental operations, participants in the interaction acquire the ability to form speech dialogue management models.Conclusion.  The use of cognitive technologies makes it possible, both for intelligent systems and for interaction participants, to use generalized static structures of concepts, situations, and dynamic structures for real and mental operations. The active use of such structures makes it possible to better understand the current situation and successfully formulate and use voice dialogue management models for solving problems arising during the development of the Industry 4.0 concept.

scholarly journals Adaptation of the Engineering Curriculum in the Age of Industry 4.0

2019 ◽  
Vol 1 (1) ◽  
pp. 113-123
Author(s):  
Serendra Reddy
Keyword(s):  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Bachelor's Degree ◽  
Higher Learning ◽  
Engineering Curriculum ◽  
Physical Systems ◽  
Electronic Engineering ◽  
Engineering Degree ◽  
University Of Technology ◽  
The Internet Of Things

AbstractWith the rapid proliferation of Industry 4.0 across the globe there is an immediate need for institutes of higher learning to adapt their curriculums, especially in the fields of engineering and IT, in order to ensure relevance to both industry and society. Industry 4.0 is synonymous with cyber-physical systems, AI and the internet of things and requires a knowledgeable workforce that are both inter- and multi-disciplinary skilled. This paper proposes a framework for a three- or four-year electronic engineering degree that aligns itself with the needs of Industry 4.0. The framework is comprised of three core pillars and provides a roadmap for the adaptations required in the curriculum, practical work and competency components of the qualification. In addition to knowledge attributes we also discuss the notion of graduate attributes as well the assessment of these outcomes. A three-year bachelor’s degree in electronic engineering that applies this framework is currently being offered at the Durban University of Technology, South Africa.

Introduction to Ambient Intelligence in Internet of Things Environments and Cyber-Physical Systems

2019 ◽  
pp. 1-26
Keyword(s):  
Internet Of Things ◽  
Ambient Intelligence ◽  
Communication Technologies ◽  
Cyber Physical Systems ◽  
Service Development ◽  
Core Element ◽  
Physical Systems ◽  
Recent Trends ◽  
Conclusion Section ◽  
The Internet Of Things

This chapter discusses current role and future prospects of ambient intelligence in development of applications for the internet of things environments. The authors provide an introduction to the field of ambient intelligence and specifically discuss what makes it so important to be a core element of cyber-physical systems. The main focus of the chapter is on providing analysis and the reasoning for development of smart spaces and delivering ambient intelligence to internet of things environments. The chapter provides definition and overview of recent trends and advances for service development with all identified key technological enablers of modern info-communication technologies, including data mining, big data analysis, recommendation systems, and so on. The main messages of the chapter are summarized by the conclusion section.

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