scholarly journals Artificial intelligence-controlled pole balancing using an Arduino board

2021 ◽  
Vol 33 (2) ◽  
pp. 189-204
Author(s):  
José Luis Revelo Orellana ◽  
Oscar Chang
Keyword(s):  
Artificial Intelligence ◽  
Balance Control ◽  
Manual Control ◽  
Policy Information ◽  
Random Position ◽  
Q Matrix ◽  
Arduino Microcontroller ◽  
The Many ◽  
Control Balance

Automation Process (AP) is an important issue in the current digitized world and, in general, represents an increase in the quality of productivity when compared with manual control. Balance is a natural human capacity as it relates to complex operations and intelligence. Balance Control presents an extra challenge in automation processes, due to the many variables that may be involved.  This work presents a physical balancing pole where a Reinforcement Learning (RL) agent can explore the environment, sense its position through accelerometers, and wirelessly communicate and eventually learns by itself how to keep the pole balanced under noise disturbance. The agent uses RL principles to explore and learn new positions and corrections that lead toward more significant rewards in terms of pole equilibrium. By using a Q-matrix, the agent explores future conditions and acquires policy information that makes it possible to maintain stability. An Arduino microcontroller processes all training and testing. With the help of sensors, servo motors, wireless communications, and artificial intelligence, components merge into a system that consistently recovers equilibrium under random position changes. The obtained results prove that through RL, an agent can learn by itself to use generic sensors, actuators and solve balancing problems even under the limitations that a microcontroller presents.

scholarly journals Efficient Workforce Management within the Concept of "Smart City". Using Artificial Intelligence as Part of the Future Counterterrorism Strategy

2020 ◽  
Author(s):  
Mihai Constantin ◽  
◽  
Anamaria Bucur ◽  
Andra-Nicoleta Borţea ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Human Factor ◽  
Smart Cities ◽  
New Challenges ◽  
The Government ◽  
New Perspective ◽  
The Many ◽  
Public Workers

Today, the world is going through an unprecedented wave of urbanization, an evolution that tends to focus on both the biggest social problems and the biggest opportunities in the area of big cities. Once the concept of "smart city" appeared brought its new challenges for our society. In addition to the many benefits, such as increased quality of life, a smart city is challenging the current government. The security of the citizens in the smart cities is gaining new perspective, but also brings a number of threats, mostly considering the strategies regarding counter-terrorism. The human component, specifically the workforce adapted to the smart city, faces new challenges: the emergence of artificial intelligence, increased demand for digital skills, a must have also in labour market, together with the technologization of all areas of activity, which produces changes in all aspects of daily life. Under these conditions, the human factor is affected by all these changes. One side of the story regards the training and, also, the education of individuals, which must increase digitalisation skills; the other side involves the government who must adapt its strategies and policies to enable these changes in a safe manner for citizens and public workers, who perpetuate these changes through local administrations. Therefore, human resources are an important component in the project that aims developing smart cities that includes also developing adapted protection for citizens, specific to these cities. The use of artificial intelligence in smart cities seems to be the solution to the problems raised by smart cities in relation to the human factor and its vulnerability. But at what cost?

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

MSHE-PWM Control of Modular Multilevel Direct Current Transmission System

2015 ◽  
Vol 9 (1) ◽  
pp. 553-559
Author(s):  
HU Xin-xin ◽  
Chen Chun-lan
Keyword(s):  
Pulse Width Modulation ◽  
Reactive Power ◽  
Balance Control ◽  
Electric Energy ◽  
Access Point ◽  
Experimental Result ◽  
Switching Frequency ◽  
Pwm Control ◽  
Harmonic Elimination

In order to optimize the electric energy quality of HVDC access point, a modular multilevel selective harmonic elimination pulse-width modulation (MSHE-PWM) method is proposed. On the basis of keeping the minimum action frequency of the power device, MSHE-PWM method can meet the requirement for accurately eliminating low-order harmonics in the output PWM waveform. Firstly, establish the basic mathematical model of MMC topology and point out the voltage balance control principle of single modules; then, analyze offline gaining principle and realization way of MSHEPWM switching angle; finally, verify MSHE-PWM control performance on the basis of MMC reactive power compensation experimental prototype. The experimental result shows that the proposed MSHE-PWM method can meet such performance indexes as low switching frequency and no lower-order harmonics, and has verified the feasibility and effectiveness thereof for optimizing the electric energy quality of HVDC access point.

Analysis and Interpretation of Test Beam Data

2018 ◽  
Author(s):  
Richard Wigmans
Keyword(s):  
Energy Resolution ◽  
Particle Physics ◽  
Particle Beam ◽  
Test Beam ◽  
Term Energy ◽  
The Many ◽  
Physics Experiment ◽  
The Way

This chapter describes some of the many pitfalls that may be encountered when developing the calorimeter system for a particle physics experiment. Several of the examples chosen for this chapter are based on the author’s own experience. Typically, the performance of a new calorimeter is tested in a particle beam provided by an accelerator. The potential pitfalls encountered in correctly assessing this performance both concern the analysis and the interpretation of the data collected in such tests. The analysis should be carried out with unbiased event samples. Several consequences of violating this principle are illustrated with practical examples. For the interpretation of the results, it is very important to realize that the conditions in a testbeam are fundamentally different than in practice. This has consequences for the meaning of the term “energy resolution”. It is shown that the way in which the results of beam tests are quoted may create a misleading impression of the quality of the tested instrument.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

AI Magazine ◽  
2012 ◽  
Vol 34 (1) ◽  
pp. 10 ◽  
Author(s):  
Steve Kelling ◽  
Jeff Gerbracht ◽  
Daniel Fink ◽  
Carl Lagoze ◽  
Weng-Keen Wong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Feedback Loop ◽  
Human Computation ◽  
Computational Power ◽  
Learning Networks ◽  
Learning Network ◽  
Computer Learning ◽  
The Individual ◽  
Citizen Science Project

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network, whose core is an active learning feedback loop between humans and machines that dramatically improves the quality of both, and thereby continually improves the effectiveness of the network as a whole. In this paper we explore how Human-Computer Learning Networks can leverage the contributions of a broad recruitment of human observers and processes their contributed data with Artificial Intelligence algorithms leading to a computational power that far exceeds the sum of the individual parts.

Answers and Questions: Evans-Pritchard On Nuer Religion

1983 ◽  
Vol 14 (3) ◽  
pp. 167-186 ◽  
Author(s):  
John W. Burton
Keyword(s):  
Catholic Church ◽  
Logical Consistency ◽  
Anthropological Study ◽  
The Status ◽  
The Many ◽  
The Catholic Church

AbstractIf my discernment of the thought that underlies his study of Nuer religion is not entirely misconstrued, then one can assert a logical consistency between Collingwood's methodology for history and Evans-Pritchard's for ethnography. It is worthwhile, in that light, to consider the fact that "at one time Evans-Pritchard contemplated writing Collingwood's biography" (Beidelman 1974:559). One commentator, (Kuper 1980:118) typifies this methodology as "postwar idealism" and suggests that the major works he published in the later decades of his presence at Oxford demonstrate the "sterility" of his methodology and theory. Still others have hinted that his entry into the Catholic Church was later reflected in his depiction of Nuer religous life. These are remarkable assertions, when one takes the time to reflect on the many ways in which his own approach and writings have so profoundly influenced the direction of anthropological enquiry in his own country and abroad. The fact is, one can no longer write ethnography in lieu of a solid understanding of the historical circumstances which have resulted in the contemporary 'ethnographic present'. At the same time, practitioners of the discipline have addressed from almost every angle the proposition that all ethnography is indeed a good part confession-that we write what we are able to see. That is precisely the quality of the work that will guarantee the status of Nuer religion as a classic. The methods of history and anthropology can only become more similar. Anyone who holds an absence of definition or presumed repugnance toward theory as criticisms of his contributions, has truly lost the forest for the trees. It is all the more remarkable that his methodological and theoretical advances in the anthropological study of religion are to be found not in his answers, but in the questions he raised.10

Construction of first-class university course based on artificial intelligence and neural network algorithm

2020 ◽  
pp. 1-12
Author(s):  
Yingli Duan
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Vocational Training ◽  
Network Algorithms ◽  
Teaching Efficiency ◽  
Neural Network Algorithm ◽  
Solid Foundation ◽  
University Level ◽  
University Course

Curriculum is the basis of vocational training, its development level and teaching efficiency determine the realization of vocational training objectives, as well as the quality and level of major vocational academic training. Therefore, the development of curriculum is an important issue. And affect the school’s teaching capacity building. The analysis of the latest developments in the main courses shows that there are some deviations or irrationalities in the curriculum in some colleges and universities, and the general problems of understanding the latest courses, such as lack of solid foundation in curriculum setting, unclear direction of objectives, unclear reform ideas, inadequate and systematic construction measures, lack of attention to the quality of education. This paper explains the rules for the establishment of first-level courses, clarifies the ideas and priorities of architecture, and explores strategies for building university-level courses using knowledge of artificial intelligence and neural network algorithms in order to gain experience from them.

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

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