Raptor tool
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The document describes the components and features of the Raptor Tool, which is used for building and executing flowcharts and UML diagrams, including a workspace area, menu toolbar, symbols area, watch window, and master console, as well as flowchart symbols like assignment, input, output, selection, and loop symbols that can be used to create and run flowcharts. It also discusses variables in Raptor flowcharts and how to declare, assign values to, and name variables according to conventions when building programs with the Raptor Tool.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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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.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
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1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
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3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
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（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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/)
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Raptor tool
- 1. RAPTOR Tool Handled by Dr. T. Abirami Associate Professor Department of Information Technology Kongu Engineering College, Perundurai
- 2. Raptor Tool Components • Workspace Area • Menu Toolbar • Symbols area • Watch Window • Master Console
- 3. Workspace Area The Workspace area is where flowcharts and UML components like classes are built and executed. Initially, this area just contains a Start and End symbols in the main tab.
- 4. Menu The Raptor menu consists of several choices that lets user to perform several actions. Major actions like opening new file, save the flowcharts to the hard disk , run the flow charts etc.
- 5. Symbols Area: • Symbols area consists of flowchart symbols that are used in building a flowchart. • Assignment symbol • Input symbol • Output symbol • Call • Selection • Loop
- 6. Watch & Master Console Windows • Watch windows is used to trace the variable values, objects in the heap memory etc. Watch window is helpful flowchart. • MasterConsole is used for the flowchart standard output. The output flowchart symbol writes the output to the
- 7. RAPTOR Symbols Assignment Symbol -> The assignment symbol is used to give a variable a numeric or string value. Call Symbol -> The call symbol is used to make calls to outside procedures, such as graphics routines. Input Symbol -> The input symbol is used for getting input from the user. Output Symbol -> The output symbol is used to display text to the master Console. Selection Symbol -> The selection structure is used for decision making.
- 8. Start and End Terminator Symbols • The oval symbols are used for Start and End Terminator symbols.
- 9. Input/Output Symbols • A parallelogram is used for input and output data to the flowchart. The Input symbol is used to prompt the user to enter information. The information is stored in variables. • The output symbol is used to print the information to the MasterConsole window or to redirect it to a file.
- 10. Input Symbol
- 11. Input Symbol
- 12. Input Symbol
- 13. Output Symbol
- 15. The Enter Output dialog prompt to specify the information and variables to output.
- 16. Assignment Symbol • A rectangle is used for the process symbol. The processing statements and calculations can be done in this block.The assignment symbol is used to assign a variable or to change the value of a variable. • count <- 1 • sum <- a + b • The right hand side is evaluated first and then the value is assigned to the left hand side variable.
- 18. Selection Symbol • The diamond structure is the Selection symbol. Selection symbol is used for making decisions in the flowchart. The decision expression is entered in the diamond.
- 19. Loop Symbol • Loop symbol is a repetitive structure in RAPTOR flowchart. The Loop symbol is used to repeat a set of steps in the flowchart until the loop condition is met.
- 20. Variables in Raptor Flowchart • Computer programs store data in memory. • A variable is a name that points to the memory location where we store data. • The data value stored in the variables has a datatype. In the Raptor flowchart, we have Numbers, Strings and Arrays. i and name are variables that hold Number and String data values respectively.
- 22. Assign values name <- “Emma”
- 23. Naming variable names • Raptor variables should start with an alphabet letter and can only contain letters, digits, and underscore. • It’s recommended to keep the variable names clear, meaningful, and descriptive. • Programmers should also stick to a naming convention for naming the variable’s names. Naming convention Example use of underscore employee_name CamelCase EmployeeName SNo Rule Example 1 Variable names cannot start with digits. 7rate 2 Variable names cannot contain illegal characters. Student$Name 3 Variable names cannot empty spaces. interest rate Some invalid variable names are shown below:
- 25. Save the file • flowcharts are stored with the .rap file extension as shown below.
- 29. Repetitive / Loop Structure