Autocad Drawing Sample 4 (Polar Array Exercise)
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✅ DISCLAIMER: Bricks You May Want does not condone buying clone brands or copying original products in any way or form.
------------------
✅ SUBSCRIBE & Follow us for more!
• Website: http://Wiki-brick.com
• Twitter: https://twitter.com/wikibrick
• Tumblr: https://www.tumblr.com/blog/wikibrick
• Pinterest: https://www.pinterest.com/wikibrick/
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Structure of a Research Paper
Parts of A Research Paper
I. Preliminaries
A. Title Page
B. Approval Sheet
C. Acknowledgment Sheet
D. Abstract
E. Table of Contents
F. List of Tables
G. List of Figures
II. Text
A. Introduction
1) Background of the Study
2) Conceptual Framework
3) Statement of the Problem
4) Hypothesis
5) Significance of the Study
6) Scope and Delimitation of the Study
7) Definition of Terms
B. Review of Related Literature and Studies
1) Foreign Literature
2) Foreign Studies
3) Local Literature
4) Local Studies
5) Synthesis and Relevance to the Studies
C. Methodology
1) Method of Research to be Used
2) The Population frame and Sample Size
3) Instrumentation
4) Data-gathering Procedure
5) Statistical Treatment of the Data
D. Presentation, Analysis and Interpretation of Data
E. Summary, Conclusions and Recommendation’s
III. Reference
A. Bibliography
B. Appendices
C. Curriculum Vitae
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Morality of Human Acts
MORALITY OF HUMAN ACTS
Human Acts
Acts of Man
Basic Element of Human Acts
• Types of Voluntariness
Major Determinants of the Morality of Human Acts
Four Types of Circumstances
Specific Types of Circumstances
Modifiers of Human Acts
1) Ignorance
• Types of Ignorance
2) Passion
3) Fear
Act done ‘with’ fear
Act done ‘out’ of fear
4) Violence
5) Habit
Norms of Morality
Norm
Norm of Morality
• Types of norm:
Eternal Divine Law
Human Reason
Law as the object norm of morality
• General Notion of Law
o Law of Nature
o Natural Law
Moral Law
o Essential Elements for a Law to be Reasonable:
• Divisions of Law
o Eternal Law
The Natural Moral Law
Law of Conscience
i. Attributes of the Natural Law
ii. The Contents of Natural Law
Formal norms
Material norms
Human Positive Law
Law as the subject norm of morality
Conscience
• Conscience as an Act of Intellect
(Judgement of Reason)
• Conscience as a Practical Moral Judgement
• Conscience as the Proximate Norm of Morality
• Kinds of Conscience
i. Correct or True Conscience
ii. Erroneous of False conscience
Invincibly erroneous conscience
Vincibly erroneous conscience
Perplexed conscience
Pharisaical conscience
i. Certain Conscience
ii. Doubtful Conscience
iii. Scrupulous Conscience
iv. Lax Conscience
Deontological Ethical Theory
Topic: DEONTOLOGICAL ETHICAL THEORY
Contents:
A. Historical Origin
Early beginning of human civilization
• The word of the king is the law
Deontological
Greek word “dein” or “deon” meaning “To be obligated” or simply “duty”
B.Kants’ Major Contribution to Deontological Theory
Immanuel Kant (1724-1804)
• Avid defender of deontological theory
• Contributed as many important and brilliant ideas to the philosophical study of ethics
C.The Good Will: The Core of Kant’s Ethics
Morality of an action lies on the inner motive rather than the external effects
Kants’ ethics primarily based on good will
Duty must be done out of pure reverence to the moral law
D.Duty over Inclination
“A person is only acting morally only when he suppresses his feelings and inclinations and does that which he is obliged to do”
Inclination
means doing the things that one’s feels like doing, and thus no obligation exists.
Example:
Helping your neighbor to fix her flat tire.
• Three possible reasons of helping:
1) Expectation of the reward-immoral
2) Pity-immoral
3) Duty-moral
1 is done out of desire to get a reward and 2 is done out of emotion thus, the acts are considered immoral. On the other hand, 3 is done out of obligation and this makes the act moral.
E.Duty is Superior to Happiness
“Our duties cannot consist simply in following rules that promote pleasure and avoidance of pain as the utilitarian’s claim, since that would make right actions depend upon consequences, on how well they satisfied our desires”
Example:
1) Lying
2) Breaking promise
The above examples are immoral actions not because it can create bad consequences but because these are wrong in itself.
F.The Categorical Imperative: The Universalizability Principle
“Act only according to that maxim by which you can at the same time will that it should become a universal law”
Maxim is a personal and subjective guiding principle
We must universalize our moral judgement
G.The Principle of Humanity (Respect for Persons)
Also known as ’Principle of Ends’
Concerns respect for the dignity of persons
Rational beings are ends in themselves
Do not treat others as means
H.Autonomy of The Will (Kingdom of Ends)
“For without personal autonomy, Morality becomes an impossibility”
Autonomous will
The will becomes autonomous when the genuinely moral actions are chosen:
• Freely
• Rationally
• By The Self (Autonomously)
Kingdom of ends
It is a moral universe of the moral beings in which:
• Respect for Intrinsic Worth
• Respect for Value of All Persons
is exercised by everyone.
Categorical Syllogism
ON CATEGORICAL SYLLOGISM
LEGEND
U - universal / P - particular
A - affirmative / N - negative
3 PROPOSITIONS
- MAJOR Premise (first premise)
- MINOR Premise (second premise)
- Conclusion
Rule in constructing the argument:
UUU / UPP / PUP
AAA / ANA / NAN
ON THE TERMS (3 terms)
MAJOR term
- the Predicate of the Conclusion and is found in the Major premise (subject or predicate)
MINOR term
- the Subject of the Conclusion and is found in the Minor premise (subject or predicate)
MIDDLE term
- found in the major and minor premises but not in the conclusion
ON FIGURE (CATEGORICAL SYLLOGISM)
FIGURE-refers to the arrangement of MIDDLE term in the two premises in the syllogism
CONT.
ON MOODS (CATEGORICAL SYLLOGISM)
MOODS refers to the pattern of the types of proposition used in the syllogism.
Eduction
Types of Eduction:
a. conversion
1. simple conversion
2. partial conversion
b. obversion
c. contraposition
1. simple contraposition
2. complete contraposition
d. inversion
1. simple inversion
2. complete inversion
Autocad Basics
I:Autocad
is a full featured collection of software tools used for designing and drafting.
Developed by Autodesk, Inc. (Mill Valley, California)
Released in December, 1982
II:Reasons why use Autocad
-Accurate
-Productive and efficient
-Capable of sharing data
III:Drawing Commands
Keystrokes -Commands
l -Line
pl -Polyline
rec -Rectangle
c - Circle
a -Arc
el -Ellipse
pol- Polygon
e -Erase
m -Move
co -Copy
ar -Array
ro -Rotate
tr -Trim
ex- Extend
o- Offset
s -Stretch
mi -Mirror
f -Fillet
cha -Chamfer
J- Join
Br -Break
sc -Scale
po -Point
spl -Spline
la -Layer
mt -Mtext
dim -Dimension
h -Hatch
ch -Properties
lw -Line weight
IV:Entering points in Autocad
-Absolute coordinates
-Relative rectangular coordinates / relative coordinates
-Relative polar coordinates / polar coordinates
V:2 Types of Array
-Rectangular array
-Polar array
VI:Layer properties
-Status
-Name
-On
-Freeze
-Lock
-Color
-Linetype
-Lineweight
-Plot style
-Plot
-Description
VII:Dimension
a.Basic Types:
-Linear
-Angular
-Radial
-Ordinate
-Arc length
b.Parts of Dimension:
-Dimension text
-Dimension line
-Arrowheads
-Extension line
-Center mark
-Center lines
Models of Communication
Models of Communication
• Aristotelian
• Lasswell
• Shannon-Weaver
• Schramm
• Berlo
• White
SUMMARRY:
MODELS FOCUS FEATURE
1. Aristotle Speaker, Message, listener One way process
2. Lasswell Speaker, Message, Receiver, channel, effect Linear and sequential
3. Shannon-Weaver Information, source, transmitter, receiver, destination, noise Linear , sequential
4. Schramm Communicators, messages, and field of experience Interactive, circular
5. Berlo Source, message, channel, and receiver Almost complete model but suggests linearity
6. White Eight stages: thinking, symbolizing, expressing, transmitting, receiving, decoding, feedback Cyclical and sequential relationship
Listening
*The Nature and Importance of Effective Listening
-The Nature of Listening
-Difference between Hearing and Listening
-The Significance of Listening
-The Process of Listening
*Diverse of Listening
-Types of Listening
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IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, SerbiaDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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