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‹#›
2
Cartesian Coordinate Systems
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3
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Copyright © Cengage Learning. All rights reserved. ‹#›.docx
Copyright © Cengage Learning. All rights reserved.
‹#›
1
Copyright © Cengage Learning. All rights reserved.
Two-Dimensional Coordinate System and Graphs
SECTION 2.1
‹#›
2
Cartesian Coordinate Systems
‹#›
3
Cartesian Coordinate Systems
Each point on a coordinate axis is associated with a number called its coordinate.
Each point on a flat, two-dimensional surface, called a coordinate plane or xy-plane, is associated with an ordered pair of numbers called coordinates of the point.
Ordered pairs are denoted by (a, b), where the real number
a is the x-coordinate or abscissa and the real number b is
the y-coordinate or ordinate.
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x-axis and a vertical coordinate axis called the y-axis. The axes intersect at the point (0, 0), called the origin.
In Figure 2.1, the axes are
labeled such that positive
numbers appear to the right
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above the origin on the y-axis.
Figure 2.1
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Figure 2.3
Source: CTIA.
‹#›
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The ordered pairs (a, b) and (c, d) are equal if and only if
a = c and b = d.
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If (3, y) = (x, –2), then x = 3 and y = –2.
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9
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The distance between two points on a horizontal line is the absolute value of the difference between the x-coordinates of the two points.
The distance between two points on a vertical line is the absolute value of the difference between the y-coordinates of the two points.
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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.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
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4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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- 2. Lecture outline Photographic coordinate System Faulty fiducial marks Reducing coordinates to the principal point
- 3. Photographic Coordinate System Rectangular coordinates are the most common type of measurement. Measurements can be done directly on negatives or positives printed on paper, glass, film, etc. Axes are formed by joining opposite fiducial marks. X axis is parallel to the direction of flight. Y axis is perpendicular to the x axis. Origin of system is the intersection of the fiducial marks. Point is called centre of collimation is very close to the principal point.
- 5. Photographic Coordinate System Position of point a is given by its coordinates 𝑥𝑎 and 𝑦𝑎 and b is given by 𝑥𝑏and 𝑦𝑏 For corner fiducial marks, one of the fiducial marks is the origin of the 𝑥’, 𝑦’ system Coordinates are then reduced to the conventional system with origin at the principal point as follows: 𝑥𝑎 = 𝑥𝑎 ′ − 𝑥𝑜 𝑦𝑎 = 𝑦𝑎 ′ – 𝑦𝑜 Where: 𝑥𝑜 = 𝑥𝐵 ′ + 𝑥𝐶 ′ 4 and 𝑦𝑜 = 𝑦𝐷 ′ + 𝑦𝐶 ′ 4
- 6. Faulty Fiducial Marks The amount by which x axis misses the fiducial marks are 𝑦𝑎 and 𝑦𝑐 The amount by which y axis misses the fiducial marks are 𝑥𝑏 and 𝑥𝑑 Measured x and y fiducial distances are 𝑥𝑚 and 𝑦𝑚 General expressions for calculating corrected coordinates 𝑥𝑒 ′ and 𝑦𝑒 ′ of point e are as follows: 𝑥𝑒 ′ = 𝑥𝑒 + 𝑥𝑑 + (𝑥𝑏 + 𝑥𝑑) 𝑦𝑚 2 − 𝑦𝑒 𝑦𝑚 𝑦𝑒 ′ = 𝑦𝑒 + 𝑦𝑎 + (𝑦𝑐 − 𝑦𝑎) 𝑥𝑚 2 − 𝑥𝑒 𝑥𝑚
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- 9. Reduction of coordinates to an origin at the principal point
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