SAM is the self-learning assistance
system and looks like a revolution in the world. We are on the edge of
automation. Artificial intelligence is the key player. If things go well,
automated learning will help companies develop their capabilities. Companies
develop ideas immediately.
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| Self-learning assistance system |
SAM-
A Self-learning Assistance System for Efficient Processes
Self-learning:
One of the most important methods of
learning that enables the use of learning skills effectively is a
self-learning system.
Self-learning contributes to the
development of human behavioral, cognitive and emotional, and provides an important tool that can absorb the data of the next era, a pattern of learning
in which the student learns what he himself wants to learn.
The possession and mastery of
self-learning skills enable the individual to learn at all times and throughout
life outside and inside the school, which is known as self-learning.
It
is the learner's educational activity driven by his / her own desire to develop
his / her readiness, capabilities and abilities in response to his / her own
interests in order to achieve his / her personality development and
integration, and successful interaction with his / her community through
self-reliance and confidence in their learning process.
The importance of self-learning:
1. Self-learning has been and
continues to receive great attention from the psychologists and educators, as a
method of learning better, because it provides each learner education
commensurate with his ability and speed of self-learning and depends on the motivation
to learn.
2.
The learner takes a positive and active role in learning.
3.
Learned self-learning can master the basic skills necessary to pursue
self-education and continue with it for life.
4.
Preparing the children for the future and accustom them to take responsibility
for their own learning.
5.
Training students to solve problems, and create a fertile environment for
creativity.
6.
The world is witnessing an explosion of knowledge constantly evolving does not
assimilate learning systems and methods, which necessitates a strategy that
enables the learner to master the skills of self-learning to continue education
with him out of school and even for life.
Self-learning objectives:
Acquiring the skills and habits of
continuous learning to continue his own education.
The individual is responsible for
teaching himself.
Contribute to the process of
self-renewal of society.
Building a permanent learning
community.
Achieving lifelong learning.
Self-learning skills:
The learner must be provided with
the necessary skills for self-learning, ie, how to learn. These include:
- Participation skills.
- Self-assessment skill.
- Appreciation for cooperation.
- Take advantage of the facilities available in the local environment.
- Prepare for learning.
And
the teacher to pay attention to the education of his students to self-learning
through:
- Encouraging learners to raise open questions.
- Encouraging critical thinking and producing judgments.
- Developing the skills of reading and training to think about what is being read and to extract meanings, then organize them and translate them into written material.
- Connecting learning to life and making life situations is the context in which learning takes place.
- Creating an encouraging atmosphere for self-direction and inquiry, and providing sources and opportunities for self-inquiry.
- Encouraging the learner to gain self-confidence and learning abilities.
- Putting real-life problems to the discussion.
SAM- A Self-learning
assistance system
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machine-learning course
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Self-Learning Assistance System can Help Optimize Production
Machines
SAM is the self-learning
assistance system and looks like a revolution in the world. We are on the edge
of automation. Artificial intelligence is the key player.
If things go well, automated
learning will help companies develop their capabilities. Companies develop
ideas immediately
A good automated learning system is created through basic and advanced algorithms, scalability, data preparation capabilities, group modeling, automation, and recurring operations.
Machines will actually outweigh
human power in almost everything leading to process change, cost savings and
greater and greater levels of automation.
Image and audio recognition systems
will recognize individuals across different channels and will be the fastest
growing companies with smarter employees.
More recently, the Fraunhofer Institute for Process Engineering and IVV Packaging in Dresden has shared very good news for students, teachers, and researchers. Fraunhofer IVV scientists are developing a self-learning assistance system that helps machine operators solve errors, build their expertise, and process knowledge.
When taking into account the
experience of people managing machines, the results are particularly successful
to prevent long downtime and large amounts of scrap, manufacturers must design
production processes to be stable and effective. The speed of the device needs
to be regulated.
However, this knowledge is specific
to everyone - a less experienced colleague needs more time to find the
solution. On a processing machine, chocolate plates are wrapped in paper.
The sensor detects a deviation in
the production process and stops the device. Even with modern systems, short
breaks occur on average every five minutes. The experienced machine operator
knows where the fault lies.
According to scientists at FraunhoferIVV in Dresden, this knowledge based on experience is available to all
operators at all times, they claim, the system monitors machine conditions and
operator procedures and maintains successful solution strategies.
The engine operator's adapter
resolves it and then connects it to the current fault condition recorded by the
SAM.
If a particular error occurs multiple times,
the SAM recognizes it and can give tips to the operator about the cause and how
to resolve the problem. This way, the device is fixed and turned back on.
For this reason, people have revived
the interest in learning the machine just like the theory of virtualization and
data extraction for several factors such as data storage is affordable, more
powerful and less expensive computer processing and the types and sizes of
available data growing
André Schulte, group manager at
Digitalization and Efficiency Processing at Fraunhofer IVV, explained that SAM
is able to learn at a similar speed to a human and can recognize patterns after
a few repetitions.
"Thanks to our knowledge of
packaging machine operations, we can make SAM very fast."
"The man is a wonderful tool, with their hands and eyes more flexible and better than many robots or cameras, yet the processes and systems are becoming more complex all the time.
In modern technology, humans play an
indispensable role in a production, because it increases their sense of value
in their work and their lives, Schulte said.
According to the report, Fraunhofer
IVV is planning to further develop its operator assistance system for
self-learning over the next five years and add new functionality through a
range of new modules.
Manufacturers will be able to use
SAM for operation, maintenance, installation, assembly, and machine
development.
In the next few years, SAM can be adapted to specific customer requirements.
Additional features are possible, it is also possible to use image processing,
external sensors, speech recognition and gestures will increase.
By creating accurate models,
companies and institutions have a good chance of recognizing profitable and
successful opportunities and reducing risk and thus making automated learning
an important element in key industries.
In the future, such models can be
built that can automatically and quickly analyze more complex and larger data
and deliver more accurate and faster results if needed.
Conclusion
The idea of self-education emerged
as a reflection of the progressive thought in education, in which the learner
became the center of the process of education and the essence of the
curriculum.
The content of the subject became
not only a particular school book, but content became the learner's content
through a range of interactions with the environment.
Thus, this trend in the history of
the evolution of educational thought has led to the beginning of the trend
toward self-education.
There are many models and tools
designed to be self-taught and self-learned.
In this direction, the learner
studies educational materials at a high level in a suitable manner according to
the ability of each individual learner, to progress in his study according to
his own rate, or what is meant by self-speed in self-learning situations.