Forensic engineering involves applying engineering principles and methodologies to answer legal questions, especially regarding accidents and failures. A forensic engineer investigates failures through failure analysis and root cause analysis to determine how and why something failed. The engineer must be familiar with relevant codes and standards, understand eyewitness testimony, apply the scientific method to reconstruct events, and report findings clearly to assist courts. A forensic engineering investigation follows the scientific method to methodically analyze evidence and test hypotheses to determine the cause and circumstances of a failure or accident.
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1) IEC 61508 is an international standard for functional safety of electrical, electronic, and programmable electronic safety-related systems. It standardizes safety requirements and assessment methodologies that can be applied across industries.
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The expanding consumer electronics sector is primarily driving the global extension cord market. Furthermore, the rising product demand for household appliances, such as computers, televisions, kitchen equipment, etc., is also augmenting the growth of the market. Besides this, numerous hospitals and healthcare centers utilize extension cords for connecting medical devices to compatible electrical outlets, thereby propelling the product demand.
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The document describes a proposed smart canteen management system that uses various technologies like a web application, barcode scanner, and thermal printer to automate the food ordering process. The system aims to reduce wait times for students and avoid food wastage by allowing online ordering and monitoring stock. A barcode scanner will be used to identify students during ordering and payment. Thermal printers will generate receipts. The system is expected to reduce workload for staff and provide detailed sales reports for management.
This document discusses Gandhi's concept of trusteeship as an alternative economic system. It summarizes that Gandhi did not distinguish between economics and ethics, and based trusteeship on religious ideas like non-possession and truth as well as Western ideas like stewardship. Trusteeship aimed to persuade wealthy property owners to hold wealth in trust for the benefit of society rather than personal gain. It was meant as a non-violent alternative to capitalism and communism that eliminated class conflict through cooperation and trust between rich and poor. The document provides background on the philosophical and religious influences on Gandhi's views before explaining the key aspects of his theory of trusteeship.
Impacts of a New Spatial Variable on a Black Hole Metric SolutionIJSRED
This document discusses the impacts of introducing a new spatial variable in black hole metrics. It begins by summarizing Einstein and Rosen's 1935 paper which introduced a variable ρ = r - 2M in the Schwarzschild metric to remove the singularity. The document then introduces a similar new variable p = r - 2√M and analyzes how this impacts the Schwarzschild metric. Specifically, it notes that this new variable allows for negative radii values and multiple asymptotic regions beyond just two, introducing concepts of probability and imaginary spatial coordinates. Overall, the document explores how different mathematical variables can impact theoretical physics concepts like wormholes.
A Study to Assess the Effectiveness of Planned Teaching Programme on Knowledg...IJSRED
This document summarizes a study that assessed the effectiveness of a planned teaching program on mothers' knowledge of preventing acute respiratory infections in children under 5. 50 mothers were surveyed before and after the program. Before, 36% had moderate knowledge, 62% had inadequate knowledge, and 2% had adequate knowledge. After, 34% had moderate knowledge, 0% had inadequate knowledge, and 66% had adequate knowledge, showing the program improved mothers' knowledge. The study found no significant association between mothers' knowledge and factors like age, education, or family type.
This document describes a proposed ingenuous Trafalgar contrivition system to improve traffic flow and emergency vehicle access. The system uses embedded technologies like a Raspberry Pi, RF transmitter and receiver, and an Android app. When an emergency vehicle is detected approaching a traffic light, the system will open the lights on its path without disrupting other signals. The app will also help identify hit-and-run vehicles through a brief tracking period. The goal is to reduce traffic congestion and response times to save lives.
This document discusses a proposed system called the Farmer's Analytical Assistant, which aims to help farmers in India maximize crop yields through predictive analysis and recommendations. It analyzes agricultural data on factors like soil properties, rainfall, and past crop performance using machine learning techniques to predict optimal crops for different regions based on the environmental conditions. The proposed system would allow farmers to input local data, receive personalized yield predictions and crop suggestions, and get advice from experts online. The methodology section describes how climate/rainfall and soil data is collected and analyzed using machine learning models to provide crop recommendations. The goal is to improve upon traditional crop selection methods and help increase farmers' incomes.
GSM Based Smart Helmet with Sensors for Accident Prevention and Intellectual ...IJSRED
1) The document describes a smart helmet system for motorbike riders that aims to improve safety.
2) The smart helmet contains sensors to detect accidents and whether the rider is wearing the helmet or intoxicated. It can send alerts with location data via GSM if an accident is detected.
3) The system is intended to only allow ignition of the motorbike if the rider is wearing the smart helmet, to encourage helmet usage and prevent accidents. It integrates sensors in the helmet with controls on the motorbike.
An Internet Protocol address (IP address) is a logical numeric address that is assigned to every single computer, printer, switch, router, tablets, smartphones or any other device that is part of a TCP/IP-based network.
Types of IP address-
Dynamic means "constantly changing “ .dynamic IP addresses aren't more powerful, but they can change.
Static means staying the same. Static. Stand. Stable. Yes, static IP addresses don't change.
Most IP addresses assigned today by Internet Service Providers are dynamic IP addresses. It's more cost effective for the ISP and you.
20CDE09- INFORMATION DESIGN
UNIT I INCEPTION OF INFORMATION DESIGN
Introduction and Definition
History of Information Design
Need of Information Design
Types of Information Design
Identifying audience
Defining the audience and their needs
Inclusivity and Visual impairment
Case study.
How to Manage Internal Notes in Odoo 17 POSCeline George
In this slide, we'll explore how to leverage internal notes within Odoo 17 POS to enhance communication and streamline operations. Internal notes provide a platform for staff to exchange crucial information regarding orders, customers, or specific tasks, all while remaining invisible to the customer. This fosters improved collaboration and ensures everyone on the team is on the same page.
Encontro anual da comunidade Splunk, onde discutimos todas as novidades apresentadas na conferência anual da Spunk, a .conf24 realizada em junho deste ano em Las Vegas.
Neste vídeo, trago os pontos chave do encontro, como:
- AI Assistant para uso junto com a SPL
- SPL2 para uso em Data Pipelines
- Ingest Processor
- Enterprise Security 8.0 (Maior atualização deste seu release)
- Federated Analytics
- Integração com Cisco XDR e Cisto Talos
- E muito mais.
Deixo ainda, alguns links com relatórios e conteúdo interessantes que podem ajudar no esclarecimento dos produtos e funções.
https://www.splunk.com/en_us/campaigns/the-hidden-costs-of-downtime.html
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-leading-observability-practice.pdf
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-modern-security-program.pdf
Nosso grupo oficial da Splunk:
https://usergroups.splunk.com/sao-paulo-splunk-user-group/
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...YanKing2
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
Exploring Deep Learning Models for Image Recognition: A Comparative Reviewsipij
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
Unblocking The Main Thread - Solving ANRs and Frozen FramesSinan KOZAK
In the realm of Android development, the main thread is our stage, but too often, it becomes a battleground where performance issues arise, leading to ANRS, frozen frames, and sluggish Uls. As we strive for excellence in user experience, understanding and optimizing the main thread becomes essential to prevent these common perforrmance bottlenecks. We have strategies and best practices for keeping the main thread uncluttered. We'll examine the root causes of performance issues and techniques for monitoring and improving main thread health as wel as app performance. In this talk, participants will walk away with practical knowledge on enhancing app performance by mastering the main thread. We'll share proven approaches to eliminate real-life ANRS and frozen frames to build apps that deliver butter smooth experience.