scholarly journals Work process and task-based design of intelligent assistance systems in German textile industry

2017 ◽  
Vol 254 ◽  
pp. 222006
Author(s):  
M Löhrer ◽  
N Ziesen ◽  
A Altepost ◽  
M Saggiomo ◽  
Y S Gloy
Keyword(s):  
Textile Industry ◽  
Work Process ◽  
Assistance Systems ◽  
Intelligent Assistance ◽  
And Task

Intelligent Assistance Systems for Marketing Decisions

2020 ◽  
pp. 70-82
Author(s):  
Mirela Dogaru ◽  
Dumitru Alexandru Stoica ◽  
Aurelian Vânceanu
Keyword(s):  
New Technology ◽  
Market Requirements ◽  
Assistance Systems ◽  
Continuous Use ◽  
Intelligent Assistance

Today's technology has evolved greatly and influences us in different ways, more or less beneficial, depending on each user and the needs of each consumer. It has a beneficial influence on organizations, thanks to the continuous use of technologies being as innovative and topical as possible. So organizations need to keep pace and adapt to new technology requirements to thrive in their environment business and to be aware of market requirements. The role of marketing is to grasp the unfulfilled needs of people and to create new and attractive solutions.

Data-driven anomaly detection in cyber-physical production systems

2015 ◽  
Vol 63 (10) ◽  
Author(s):  
Oliver Niggemann ◽  
Christian Frey
Keyword(s):  
Anomaly Detection ◽  
Production Systems ◽  
Data Driven ◽  
Plant Analysis ◽  
Product Complexity ◽  
Automation Systems ◽  
Data Driven Approach ◽  
Assistance Systems ◽  
Cyber Physical Production Systems ◽  
Intelligent Assistance

AbstractDue to global competition and increasing product complexity, the complexity of production systems has grown significantly in recent years. This places an increasing burden on automation developers, systems engineers and plant constructors. Intelligent assistance systems and smart automation systems are a possible solution to face this complexity: The machines, i.e. the software and assistance systems, take over tasks that were previously carried out manually by experts. At the heart of this concept are intelligent anomaly detection approaches based on models of the system behaviors. Intelligent assistance systems learn these models automatically: Based on data, these systems extract most necessary knowledge about the diagnosis task. This paper outlines this data-driven approach to plant analysis using several use cases from industry.

Taylors Agenten

2021 ◽  
Author(s):  
Jonathan Falkenberg
Keyword(s):  
Case Studies ◽  
Working Conditions ◽  
Social Relations ◽  
Order Picking ◽  
Work Process ◽  
Alternative Control ◽  
Qualitative Case Studies ◽  
Assistance Systems

Mobile assistance systems are associated with promises of relief and greater independence at work. At the same time, they are suspected of conducting seamless surveillance of employees. Using the example of order picking, the qualitative case studies in this book show that the aforementioned systems contribute to the intensification and standardisation of work, but are hardly used to monitor workers. The reasons for this are manifold and lie in regulated working conditions and co-determination, work process requirements, technical limitations, alternative control practices or the maintenance of social relations. The findings of this book show that one-sided forecasts fall short of assessing the true impact of mobile assistance systems.

INTELLIGENT ASSISTANCE SYSTEMS FOR A COMPETENCE-ENHANCING IN INDUSTRIAL TEXTILE WORK ENVIRONMENTS

2016 ◽  
Author(s):  
Mario Löhrer ◽  
Daniel Kerpen ◽  
Jacqueline Lemm ◽  
Marco Saggiomo ◽  
Yves-Simon Gloy
Keyword(s):  
Work Environments ◽  
Assistance Systems ◽  
Intelligent Assistance

Smart Automotive Systems Supported by Configurable FPGA, IoT, and Artificial Intelligence Techniques

2020 ◽  
pp. 108-132
Author(s):  
S. Saravanan
Keyword(s):  
Artificial Intelligence ◽  
Network Information ◽  
Automotive Systems ◽  
Control Units ◽  
Field Programmable ◽  
Pros And Cons ◽  
Assistance Systems ◽  
Essential Knowledge ◽  
Intelligent Assistance ◽  
Dedicated Hardware

Modern vehicles are very complex by incorporating various computational signals and critical information transactions. Electronic control units (ECUs) are embedded with various software functions, network information, sensor/actuator communication, and dedicated hardware. Altogether, the special hardware needs to be adaptable to the current needs of next-generation vehicles. This chapter will give a broad idea about modern automotive systems by considering various factors. Finding the best reconfigurable field programmable gate array (FPGA)-based hardware, intelligent assistance systems for drivers and various communication protocols are elaborated in this chapter. Moreover, it also provides the essential knowledge of IoT-based smart automotive systems along with its pros and cons. This chapter also gives the awareness and comparative study of artificial intelligence (AI) systems in the present smart automotive systems. The overall observation of this chapter will satisfy the audience by knowing the reconfigurable FPGA, IoT, and artificial intelligence-based automotive systems.

scholarly journals Incorporating work, process and task analysis into commercial and industrial object-oriented systems development

1998 ◽  
Vol 30 (4) ◽  
pp. 33-36 ◽  
Author(s):  
John Artim ◽  
Mark van Harmelen ◽  
Keith Butler ◽  
Jan Gulliksen ◽  
Austin Henderson ◽  
...  
Keyword(s):  
Task Analysis ◽  
Object Oriented ◽  
Systems Development ◽  
Work Process ◽  
Industrial Object ◽  
Object Oriented Systems ◽  
And Task
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