RAE(PPT).pptx
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This document is a report submitted by Subhadip Majumder, a 7th semester student of Civil Engineering at Ideal Institute of Engineering. The report discusses welding of rails, which is the primary method for joining rails to ensure seamless connections between sections. Key types of rail welding mentioned are thermite welding, flash butt welding, arc welding, and gas metal arc welding. The report also covers welding processes, quality control, advantages, challenges, innovations, and future trends in rail welding.
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This document discusses economic order quantity (EOQ) models for inventory management. It defines EOQ as the order quantity that minimizes total annual inventory costs, including ordering costs and carrying costs. It presents the mathematical formula for calculating EOQ as the square root of 2 times annual demand times ordering cost divided by carrying cost per unit. The document also describes the 'Q' model, where a fixed quantity is ordered when inventory reaches a reorder point, and the 'P' model, where inventory is reviewed and ordered periodically. It notes the merits of each model in reducing costs and the demerits like inflexibility or irregular supplier interactions.
FE PPT.pptx
The document discusses deep foundations and driven piles. It defines deep foundations as foundations embedded deep into the ground, as opposed to shallow foundations. Piles are deep foundations that are driven into the ground, as opposed to those placed using excavation and drilling. The document describes how piles are connected using pile caps and grade beams. It discusses methods of installing piles, including driving piles and boring piles. The key steps of diesel hammer pile driving are outlined. In conclusion, driven piles are a common foundation type that transfer structural loads deep into the soil or rock.
CM PPT.pptx
This document outlines the key components involved in institutional construction and management. It discusses the vision, mission, financing, land acquisition, infrastructure development, staff recruitment, student induction, academic and support programs, co-curricular and extra-curricular activities, administration, and financial management that are required to establish an institution. Well-run institutions play an important role in social development by serving as centers for education, innovation, and transformation within society.
49acf18b-6953-46ff-a869-c2973dde9d88-150526172342-lva1-app6891.pdf
Institution building requires establishing a clear vision and mission, developing infrastructure and facilities, recruiting qualified staff, and establishing academic and support programs. Key aspects include acquiring land and developing buildings and facilities, recruiting and training teachers, inducting students, implementing the curriculum, and providing extracurricular activities and student support services. Effective administration and management are also essential, which involves financial management, record keeping, staff coordination, and oversight of daily operations and activities. The overall goal is to establish a sustainable institution that fulfills its vision of serving students and being a center of excellence.
49acf18b-6953-46ff-a869-c2973dde9d88-150526172342-lva1-app6891.docx
This document outlines the key components and considerations for building a strong institution. It discusses that institution building requires a clear vision and mission statement, developing the necessary infrastructure like buildings, staff recruitment, and establishing academic and support systems. It also emphasizes the importance of co-curricular activities and establishing routines and schedules to ensure the smooth functioning of the institution. Overall, the document provides a comprehensive framework to guide the planning and development of a new educational institution.
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The Archer C24 is a Wi-Fi router that provides dual band AC750 Wi-Fi (300 Mbps on 2.4 GHz and 433 Mbps on 5 GHz) for streaming and gaming. It can function as a wireless router, access point, or range extender. It has 4 Ethernet ports, supports IPTV and 4K TV, and includes features like guest networks, parental controls, and security encryptions.
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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.
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
DEEP 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%.
Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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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.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
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
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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22CYT12-Unit-V-E Waste and its Management.ppt
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.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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New techniques for characterising damage in rock slopes.pdf
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
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Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
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Comparative analysis between traditional aquaponics and reconstructed aquapon...
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
RAE(PPT).pptx
- 1. IDEAL INSTITUTE OF ENGINEERING NAME- SUBHADIP MAJUMDER ROLL NO- 27901321017 DEPARTMENT- CIVIL ENGINEERING SEMESTER- 7th YEAR- Final year SUBJECT- FOUNDATION ENGINEERING SUBJECT CODE- CE(PE)705A TOPIC- WELDING OF RAILS
- 2. Introduction to Welding of Rails ● Welding is the primary method for joining rails ● Ensures seamless connection between rail sections ● Improves track stability and reduces maintenance ● Key factors: temperature, pressure, and filler material Photo by Pexels
- 3. Types of Rail Welding ● Thermite welding: widely used in rail industry ● Flash butt welding: produces strong and reliable joints ● Arc welding: used for repair and maintenance ● Gas metal arc welding (GMAW): efficient and cost-effective Photo by Pexels
- 4. Welding Process: Thermite Welding ● Uses exothermic chemical reaction to create weld ● Requires preheating to high temperatures ● Produces a highly durable and reliable joint ● Requires skilled technicians for precise execution Photo by Pexels
- 5. Welding Process: Flash Butt Welding ● Ends of rails are heated and then pressed together ● Generates intense heat through electric resistance ● Produces strong and continuous welds ● Used for long rail sections and track repairs Photo by Pexels
- 6. Weld Quality Control ● Non-destructive testing ensures weld integrity ● Ultrasonic testing detects internal defects ● Visual inspection for surface imperfections ● Quality assurance to meet industry standards Photo by Pexels
- 7. Advantages of Rail Welding ● Increases track longevity and stability ● Improves train ride quality and comfort ● Reduces maintenance and repair costs ● Enhances overall rail network efficiency Photo by Pexels
- 8. Challenges in Welding of Rails ● Maintaining consistent temperature and pressure ● Avoiding welding defects like cracks and voids ● Ensuring proper alignment and alignment resistance ● Addressing complex rail geometries and stress points Photo by Pexels
- 9. Innovation in Rail Welding ● Development of automated welding technologies ● Use of sophisticated monitoring systems ● Advancements in rail weld inspection techniques ● Integration of AI and machine learning Photo by Pexels
- 10. Future Trends in Rail Welding ● Adoption of high-strength rail materials ● Emergence of hybrid welding methods ● Application of robotics and automation ● Focus on ecological and sustainable welding practices Photo by Pexels