Assessment 5-WPS Office.pptx
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The document discusses various security features for securing a cluster, including encryption, SSL secure communication, authentication, and authorization. It describes implementing a single security interface for all components to simplify security, system-wide role-based access control to regulate authorized operations, enabling SSL communication for different connection types, and post processing of region data. It also lists key security operations such as maintaining security monitoring tools and investigating suspicious activities.
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Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
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Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
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
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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.
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Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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Assessment 5-WPS Office.pptx
- 1. Assessment 5
- 2. 1.Enumerate and explain the technical implementation of various forms of security. Encryption, SSL secure communication, authentication, and authorization features help to secure the cluster. Security features include:
- 3. A single security interface for all components The single authentication and authorization mechanism simplifies the security implementation. It views and interacts with all components in a consistent manner.
- 4. System-wide role-based access control Roles regiment authorized operations requested by the various components.System-wide
- 5. SSL communication Allows configuration of connections to be SSL-based, rather than plain socket connections. You can enable SSL separately for peer-to-peer, client, JMX, gateway senders and receivers, and HTTP connections.SSL
- 6. Post processing of region data Return values for operations that return region values may be formatted.Post
- 7. 2. Enumerate the security operation. Security operations are those practices and teams that are devoted to preventing, detecting, assessing, monitoring, and responding to cybersecurity threats and incidents.
- 8. Maintaining security monitoring tools – The team must maintain and update tools regularly. Without the correct and most up-to-date tools, they can’t properly secure systems and networks. Team members should maintain the tools used in every part of the security process.
- 9. Investigate suspicious activities – The SOC team should investigate suspicious and malicious activity within the networks and systems. Generally, your SIEM or analytics software will issue alerts which the team then analyzes and examines, triages, and discovers the extent of the threat.