wind shield wiper assembly mechanism
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This document summarizes a semester project to design a windshield wiper assembly mechanism. It includes the group members, describes the four bar linkage design using rods and links, and lists the main parts which are inexpensive and include nuts, bolts, glass, wipers and plywood. It also identifies stakeholders such as spare parts shops and carpenters, explains the product will be used during rain, snow or excessive dust, and that the design uses basic, inexpensive parts to be manufactured for vehicle windshields at low cost.
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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%.
DfMAy 2024 - key insights and contributions
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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.
Technical Drawings introduction to drawing of prisms
Method of technical Drawing of prisms,and cylinders.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
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.
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology towards Sustainable Steelmaking
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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
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Technical Drawings introduction to drawing of prisms
Technical Drawings introduction to drawing of prisms
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
2. Operations Strategy in a Global Environment.ppt
2. Operations Strategy in a Global Environment.ppt
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
wind shield wiper assembly mechanism
- 1. ENGINEERING MECHANICS SEMESTER PROJECT WINDSHIELD WIPER ASSEMBLY MECHANISM
- 2. GROUP MEMBERS MUAZ ALI 15-ME-079 ABDULLAH KHALID 15-ME-075 TAIMOOR AMIR 15-ME-059 ZEESHAN RASOOL 15-ME-047 USMAN NAWAZ 15-ME-023
- 4. FOUR BAR MECHANISM A four bar linkage is also called “A four bar”. It is the simplest movable closed chained linkage. It consist of four bodies. These bodies are called bars and links. Generally link moves in parallel planes.
- 5. PARTS • NUTS AND BOLTS • GLASS • LINKS AND RODS • WIPERS • PLYWOOD • SILICON
- 6. STAKEHOLDERS • SPARE PARTS SHOP • CARPENTER • GLAZIER
- 7. PRODUCT USAGE • DURING RAIN AND SNOWFALL • FOR DUST ON WINDSHIELD • FOR EXESSIVE DUST ON WINSHEILD
- 9. DESIGN FOR MANUFACTURE • The project has been designed mainly for vehicle purposes • it uses basic parts which are described previously • The parts for example nuts and bolts are the cheapest but they corrode overtime due to continuous environmental changes. • The mechanical mechanisms life depends upon the usage and the material used. • The project uses Mild steel hollow rods .
- 10. COST AND USAGE • The Production of the project mainly depends upon the materials used. • The materials we have used are the cheapest available in current market • The product Life is fairly enough • Due to low cost the spare parts are easily available and can be manufactured in a very short time at a low expense.