Complate hydraulic arabic book

•

6 likes•2,802 views

The document discusses the history and development of artificial intelligence over the past several decades. It outlines milestones such as the creation of expert systems in the 1980s, generalized AI in the 1990s, and modern advances in machine learning. Overall progress in AI has been steady as researchers continue developing new techniques to solve increasingly complex problems.

التمارين العملية والتطبيقات دورة دراسة الجدوى و مهارات إدارة المشاريع شهادة دولية قابلة تصديق وزارة الخارجية الأمريكية والأبوستيل الأوربي مستشار التدريب والخبير الدولي المعتمد فايز الفرحان www.mbdle.com - Dr.Fayez@mbdle.com الجيل الجديد من التدريب التدريب عن بعد التدريب الإلكتروني تحت الإشراف المباشر تقنية one to one بالتعاون مع جلوبال لنك التدريب التطبيقي باستخدام المحاكاة والبيئة الافتراضية التفاعلية ثورة في مجال الاستثمار في الإنسان والاقتصاد المعرفي الريادة والتميز– مبدأ لي MBDLE – للتسويق وتطوير الأعمال Marketing & Business Development Leadership & Excellence "نضع المعرفة والخبرة .. في متناول الجميع" د. فايز الفرحان م. فايز الفرحان

Les fonctions électroniques (1A)

Mohamed Trabelsi

Cotation fonctionnelleMohamed Trabelsi

Ds.2 a.sc.avec corrigé (tm)

Mohamed Trabelsi

METROLOGIE ET CONTROLE QUALITE

Mounir Frija

Objectifs • Fournir aux étudiants(es) des techniques propres à l'évaluation et à l'identification des besoins métrologiques. • Fournir aux étudiants(es) les outils pour évaluer la variabilité des mesures en fonction des exigences. • Initier les étudiants(es) à la métrologie dimensionnelle. Les étudiants(es) auront l'occasion de mettre en pratique la théorie vue au cours dans le cadre d'exercices et des travaux pratiques. Objectifs pédagogiques o Comprendre et identifier les sources d'erreurs et d’incertitude dans le phénomène du mesurage o Le cours portera une attention spéciale sur la métrologie dimensionnelle et géométrique o Apprendre à sélectionner, utiliser et gérer les appareils de mesure propres à une vérification donnée. o Connaître les techniques existantes permettant d'effectuer une étude statistique de reproductibilité et de répétabilité pour un processus de mesure donné. o Comprendre les principes fondamentaux en étalonnage des instruments de mesure. o Comprendre et interpréter le tolérablement dimensionnel et géométrique d'une composante mécanique afin de planifier son inspection de manière appropriée. o Rédaction d’un rapport de mesure. o Des applications tirées d’études de cas industriels (Applications et exemples pratiques tirés des industries d’aéronautique, de l’automobile, du transport et des produits récréatifs) o La résolution d'exercices et des problèmes.

1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf

MadhavJungKarki

Properties Railway Sleepers and Test.pptx

MDSABBIROJJAMANPAYEL

Null Bangalore | Pentesters Approach to AWS IAM

Divyanshu

#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/)

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

Anant Corporation

Object Oriented Analysis and Design - OOAD

PreethaV16

Viewers also liked

Bibliothèque hydrauliqueBéni Ludger NIONGUI-NZABA

Présentation grafcetBoubakri Mohamed

Le grafcet cours & exercices corrigéstoumed

TP Les bascules - logique combinatoire bilal001

Les fonctions logiques universelles(rappel flb)2 scMohamed Trabelsi

Grafcetyouri59490

Cours capteur final

Abdellah Zahidi

النسب المالية

Ali Arrouj

Livre blanc

Mohamed Trabelsi

Métrologie - les instruments de mesure

BRAHAM Alaeddine

Chap 12 transmission du mouvement

Jean-Philippe Lehoux

إدارة المشاريع أحمد هشامAhmed Hasham

التمارين العملية والتطبيقات دورة دراسة الجدوى و مهارات إدارة المشاريع

Dr. Fayez ALFarhan

Les fonctions électroniques (1A)

Mohamed Trabelsi

Cotation fonctionnelleMohamed Trabelsi

Ds.2 a.sc.avec corrigé (tm)

Mohamed Trabelsi

METROLOGIE ET CONTROLE QUALITE

Mounir Frija

Viewers also liked (17)

Bibliothèque hydraulique

Présentation grafcet

Le grafcet cours & exercices corrigés

TP Les bascules - logique combinatoire

Les fonctions logiques universelles(rappel flb)2 sc

Grafcet

Cours capteur final

النسب المالية

Livre blanc

Métrologie - les instruments de mesure

Chap 12 transmission du mouvement

إدارة المشاريع أحمد هشام

التمارين العملية والتطبيقات دورة دراسة الجدوى و مهارات إدارة المشاريع

Les fonctions électroniques (1A)

Cotation fonctionnelle

Ds.2 a.sc.avec corrigé (tm)

METROLOGIE ET CONTROLE QUALITE

Recently uploaded

1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf

MadhavJungKarki

Properties Railway Sleepers and Test.pptx

MDSABBIROJJAMANPAYEL

Null Bangalore | Pentesters Approach to AWS IAM

Divyanshu

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

Anant Corporation

Object Oriented Analysis and Design - OOAD

PreethaV16

Mechanical Engineering on AAI Summer Training Report-003.pdf

21UME003TUSHARDEB

Welding Metallurgy Ferrous Materials.pdf

AjmalKhan50578

Software Engineering and Project Management - Software Testing + Agile Method...

Prakhyath Rai

AI for Legal Research with applications, tools

mahaffeycheryld

AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.

Data Driven Maintenance | UReason Webinar

UReason

Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.

Design and optimization of ion propulsion drone

bjmsejournal

Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.

An Introduction to the Compiler Designss

ElakkiaU

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

ijaia

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%.

AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...

Paris Salesforce Developer Group

TIME TABLE MANAGEMENT SYSTEM testing.pptx

CVCSOfficial

Comparative analysis between traditional aquaponics and reconstructed aquapon...

bijceesjournal

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.

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

VICTOR MAESTRE RAMIREZ

Advanced control scheme of doubly fed induction generator for wind turbine us...

IJECEIAES

This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

Applications of artificial Intelligence in Mechanical Engineering.pdf

Atif Razi

Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI. AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf

Yasser Mahgoub

Recently uploaded (20)

1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf

Properties Railway Sleepers and Test.pptx

Null Bangalore | Pentesters Approach to AWS IAM

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

Object Oriented Analysis and Design - OOAD

Mechanical Engineering on AAI Summer Training Report-003.pdf

Welding Metallurgy Ferrous Materials.pdf

Software Engineering and Project Management - Software Testing + Agile Method...

AI for Legal Research with applications, tools

Data Driven Maintenance | UReason Webinar

Design and optimization of ion propulsion drone

An Introduction to the Compiler Designss

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...

TIME TABLE MANAGEMENT SYSTEM testing.pptx

Comparative analysis between traditional aquaponics and reconstructed aquapon...

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

Advanced control scheme of doubly fed induction generator for wind turbine us...

Applications of artificial Intelligence in Mechanical Engineering.pdf

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf

Complate hydraulic arabic book

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (17)

Recently uploaded

Recently uploaded (20)