This document provides information about a student named Ahmet Tuğaç with student number 20110288 who is taking a course in Robot Technology. It discusses several topics related to robot technology including robot systems at the transaction level, intelligence and artificial intelligence, man-machine interaction, and applications of artificial intelligence in mechatronics engineering. Examples of robot technology are also referenced.
Artificial Intelligence Future |Impact Of Artificial Intelligence On SocietyYashShah445
the content has artificial intelligence Artificial intelligence is helping farmers, doctors and rescue workers improve their positive impact on society. ... While fear of the negative consequences remain, AI is proving it can bring about enormous societal benefits.
Introduction to Artificial Intelligence Technique for Civil Engineering_ Unit...Shrikant Kate
Introduction to Artificial Intelligence Technique for Civil Engineering_ Unit 6 _ Construction Management _ Final Year (BE) _ Department of Civil Engineering _ TAE _ SPPU _ by Shrikant R. Kate
Introduction to artificial intelligence technique
Basic terminologies and applications in civil Engineering.
(a) Artificial neural network
(b) Fuzzi logic
(c) Genetic algorithm.
(c) Genetic algorithm.
Artificial Intelligence Future |Impact Of Artificial Intelligence On SocietyYashShah445
the content has artificial intelligence Artificial intelligence is helping farmers, doctors and rescue workers improve their positive impact on society. ... While fear of the negative consequences remain, AI is proving it can bring about enormous societal benefits.
Introduction to Artificial Intelligence Technique for Civil Engineering_ Unit...Shrikant Kate
Introduction to Artificial Intelligence Technique for Civil Engineering_ Unit 6 _ Construction Management _ Final Year (BE) _ Department of Civil Engineering _ TAE _ SPPU _ by Shrikant R. Kate
Introduction to artificial intelligence technique
Basic terminologies and applications in civil Engineering.
(a) Artificial neural network
(b) Fuzzi logic
(c) Genetic algorithm.
(c) Genetic algorithm.
LinkedIn is more than just a networking site for job searches. The popular social media site is also a source for prospecting for qualified leads. Learn how in this e-book from LyntonWeb.
R407C Air Conditioning system simulation with numenGo|FL - SimulationXnumenGo
Numengo provides system simulation solutions for thermofluidic applications. Our library, numenGo|FL, provides generic and reusable state of the art models for fluid properties, mass and heat transfer, with advanced features for complex two-phase mixtures to model refrigerants, for compressible and two-phase flows, as for 2D external air flow. Therefore, it particularly fits air conditioning modeling requirements.
This presentation presents SimulationX interface.
Thanks to advances in artificial intelligence, the business world is facing huge transformations. It is a new era in which the fundamental rules governing the activities of organizations are being rewritten. Artificial intelligence systems not only mean automating many processes to make them more efficient. These AI systems are making the world go through a fundamental transition with machines developing beyond their historic role as tools by becoming “self-employed” but also enabling people and machines to act collaboratively differently.
Acoustic event characterization for service robot using convolutional networksIJECEIAES
This paper presents and discusses the creation of a sound event classification model using deep learning. In the design of service robots, it is necessary to include routines that improve the response of both the robot and the human being throughout the interaction. These types of tasks are critical when the robot is taking care of children, the elderly, or people in vulnerable situations. Certain dangerous situations are difficult to identify and assess by an autonomous system, and yet, the life of the users may depend on these robots. Acoustic signals correspond to events that can be detected at a great distance, are usually present in risky situations, and can be continuously sensed without incurring privacy risks. For the creation of the model, a customized database is structured with seven categories that allow to categorize a problem, and eventually allow the robot to provide the necessary help. These audio signals are processed to produce graphical representations consistent with human acoustic identification. These images are then used to train three convolutional models identified as high-performing in this type of problem. The three models are evaluated with specific metrics to identify the best-performing model. Finally, the results of this evaluation are discussed and analyzed.
Tutorial CLEI 2010 - Assuncion - Paraguay
Outubro 2010
LRM - ICMC - USP São Carlos
INCT-SEC
Titulo: "Robôs Móveis e Veículos Autônomos: Pesquisa, Desenvolvimento e Desafios na área da Inteligência Artificial"
LinkedIn is more than just a networking site for job searches. The popular social media site is also a source for prospecting for qualified leads. Learn how in this e-book from LyntonWeb.
R407C Air Conditioning system simulation with numenGo|FL - SimulationXnumenGo
Numengo provides system simulation solutions for thermofluidic applications. Our library, numenGo|FL, provides generic and reusable state of the art models for fluid properties, mass and heat transfer, with advanced features for complex two-phase mixtures to model refrigerants, for compressible and two-phase flows, as for 2D external air flow. Therefore, it particularly fits air conditioning modeling requirements.
This presentation presents SimulationX interface.
Thanks to advances in artificial intelligence, the business world is facing huge transformations. It is a new era in which the fundamental rules governing the activities of organizations are being rewritten. Artificial intelligence systems not only mean automating many processes to make them more efficient. These AI systems are making the world go through a fundamental transition with machines developing beyond their historic role as tools by becoming “self-employed” but also enabling people and machines to act collaboratively differently.
Acoustic event characterization for service robot using convolutional networksIJECEIAES
This paper presents and discusses the creation of a sound event classification model using deep learning. In the design of service robots, it is necessary to include routines that improve the response of both the robot and the human being throughout the interaction. These types of tasks are critical when the robot is taking care of children, the elderly, or people in vulnerable situations. Certain dangerous situations are difficult to identify and assess by an autonomous system, and yet, the life of the users may depend on these robots. Acoustic signals correspond to events that can be detected at a great distance, are usually present in risky situations, and can be continuously sensed without incurring privacy risks. For the creation of the model, a customized database is structured with seven categories that allow to categorize a problem, and eventually allow the robot to provide the necessary help. These audio signals are processed to produce graphical representations consistent with human acoustic identification. These images are then used to train three convolutional models identified as high-performing in this type of problem. The three models are evaluated with specific metrics to identify the best-performing model. Finally, the results of this evaluation are discussed and analyzed.
Tutorial CLEI 2010 - Assuncion - Paraguay
Outubro 2010
LRM - ICMC - USP São Carlos
INCT-SEC
Titulo: "Robôs Móveis e Veículos Autônomos: Pesquisa, Desenvolvimento e Desafios na área da Inteligência Artificial"
Artificial Intelligence (AI) has revolutionized in information technology.AI is a subfield of computer science that includes the creation of intelligent machines and software that work and react like human beings. AI and its Applications gets used in various fields of life of humans as expert system solve the complex problems in various areas as science, engineering, business, medicine, video games and Advertising. But “Do any traffic lights use Artificial Intelligence??”, I thought a lot of this when waiting in a red light. This paper gives an overview of Artificial Intelligence and its applications used in human life. This will explore the current use of Artificial Intelligence technologies in Network Intrusion for protecting computer and communication networks from intruders, in the medical area-medicine, to improve hospital inpatient care, for medical image classification, in the accounting databases to mitigate the problems of it, in the computer games, and in Advertising. Also, it will show artificial intelligence principle and how they were applying in traffic signal control, how they solve some traffic problem in actual. This paper gives an introduction to a self-learning system based on RBF neural network and how the system can simulate the traffic police’s experience. This paper is focusing on how to evaluate the effect of the control with the changing of the traffic and adjust the signal with the different techniques of Artificial Intelligence.
Scheme for motion estimation based on adaptive fuzzy neural networkTELKOMNIKA JOURNAL
Many applications of robots in collaboration with humans require the robot to follow the person autonomously. Depending on the tasks and their context, this type of tracking can be a complex problem. The paper proposes and evaluates a principle of control of autonomous robots for applications of services to people, with the capacity of prediction and adaptation for the problem of following people without the use of cameras (high level of privacy) and with a low computational cost. A robot can easily have a wide set of sensors for different variables, one of the classic sensors in a mobile robot is the distance sensor. Some of these sensors are capable of collecting a large amount of information sufficient to precisely define the positions of objects (and therefore people) around the robot, providing objective and quantitative data that can be very useful for a wide range of tasks, in particular, to perform autonomous tasks of following people. This paper uses the estimated distance from a person to a service robot to predict the behavior of a person, and thus improve performance in autonomous person following tasks. For this, we use an adaptive fuzzy neural network (AFNN) which includes a fuzzy neural network based on Takagi-Sugeno fuzzy inference, and an adaptive learning algorithm to update the membership functions and the rule base. The validity of the proposal is verified both by simulation and on a real prototype. The average RMSE of prediction over the 50 laboratory tests with different people acting as target object was 7.33.
Artificial intelligence uses in productive systems and impacts on the world...Fernando Alcoforado
This essay aims to present the scientific and technological advances of artificial intelligence, their uses in productive systems and their impacts in the world of work.
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. CONTENT
1. Robot systems at the transaction level
are obvious qualities.
2. Intelligence, Artificial Intelligence, and
Mechatronics Intellıgence
3. Man-Machine association
4. MECHATRONICS / engineering
applications of Artificial Intelligence
3. ROBOT SYSTEMS AT THE TRANSACTION
LEVEL ARE OBVIOUS QUALITIES
1. Robots and locations of their status,
perceive their environment and they are a
part,
2. Perceived environment, their position and
status and can make decisions by comparing
the pre-defined tasks,
3. the environment by implementing the
decisions, and change their own status and
position.
4. A machine and to the fulfillment of these
functions within the system, man-made
intelligent machines and systems behavior
properties is acquired. Perceived by people,
machinery and systems identified here
significantly the behavior of intelligent
behavior. In fact, cases of human intelligence
with existing systems, mechatronics and
intelligent machines, and significant structural
differences in the basic concepts of behavior
is accepted. Current and near future
technology is expected to close the gap
between these two concepts.
5. Mentioned in the introduction of this paper is capable of
perception-decision-making-application machines, as
machines with today's technology can identify within the
Mechatronics Zeka'ya. In parallel to this definition,
"Mechatronics is a collection of hardware and software
that provides intelligence to act intelligent machines," he
must define. Expected by artificial intelligence
researchers in the early years of this definition does not
explicitly match the definitions in human-like machine,
and technological developments brought significant
benefits to today's technology helped to take important
steps
6. . Artificial intelligence and biological
intelligence and add INT Mechatronics is
different, at least for engineering applications
must emphasize that a different definition.
This definition of the work carried out on
human intelligence is beyond the intelligence
applications of mechatronics. Similarly,
studies computer science called artificial
intelligence, mechatronics lab work should
be considered outside
7. INTELLIGENCE, ARTIFICIAL
INTELLIGENCE, AND
MECHATRONICS INTELLıGENCE
Ideological attitudes (beliefs, desires, inclinations, etc.)
should be.
- Be able to acquire new knowledge (learning ability).
- Including ambiguous and contradictory environments,
must have the ability to understand.
- Considered the action (s) must have the ability to predict
outcomes, and planning.
8. Considered the action (s) must have the
ability to predict outcomes, and planning.
- Know the limits of knowledge and skills.
- Similar cases should be able to distinguish
the differences.
9. - Be able to generalize different looking
situations.
- And perceive the external world.
- Understand and be able to use language
and symbolic representations.
10. MAN-MACHINE ASSOCIATION
First, you need to better define the machine-
human unity. There is no current
technological level of knowledge at the
machine and can not be any non-human
communication. machines are under human
control at various levels.
11. For this reason, not only in an environment
dominated by machines. In this case the
combination of engineering systems,
including the man-machine systems is more
accurately described as. In this case, all
machines of theoretical systems consisting of
two separate systems of people with a
completely defines the end point.
12. MECHATRONICS / ENGINEERING APPLICATIONS
OF ARTIFICIAL INTELLIGENCE
In light of technological developments in the
past 20-30 years, the nature of any
intelligence units by adding non-intelligent
machines that produce machines of artificial
intelligence as a phenomenon of economic
has been found that positive results. For this
reason, intelligence level above zero in
recent years a large number of commercial,
military, etc. are designed and manufactured
machines.
13. This is a very complex machines
(weapons systems) can be used, such as
household chores (washing machines)
and can be either simple machines that
can make decisions. Undoubtedly the
most important factor that determines the
level of intelligence applied to the
economic dimension.
14. Currently, information and data storage for
larger sizes is known to be applicable to
systems based on the product. In terms of
the process is not easy to say this because
of the size of real-time. As a feature of
mechatronic machines, however, why there
was a common practice in detection
systems, the size of the economic
dimension.