scholarly journals Procedure model for the development and launch of intelligent assistance systems

2021 ◽  
Vol 180 ◽  
pp. 968-977
Author(s):  
Paul Reichardt ◽  
Sebastian Lang ◽  
Tobias Reggelin
Keyword(s):  
Assistance Systems ◽  
Intelligent Assistance ◽  
Procedure Model

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.

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.

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