Database Design and Management is tailor-made for software development teams who need to develop application or software system that require data persistence.
This certificate certifies that Maamouri Syrine successfully completed a JavaScript Tutorial course on July 25, 2017, as verified by Yeva Hyusyan, Chief Executive Officer, with certificate number 1024-245699.
A certificate was issued to Maamouri Syrine on April 7, 2017 for successfully completing the CSS Fundamentals course. The certificate was signed by Yeva Hyusyan, Chief Executive Officer of CSS, and the certificate number is 1023-245699.
Dr. Naguib Attia and Takreem El-Tohamy of IBM certify that Syrine Maamouri passed the IBM Academic Certificate exam for Big Data Developer on March 21, 2017. This achievement earns Syrine Maamouri a Mastery Award Badge from IBM's Skills Academy for her skills in big data development.
This certificate certifies that Maamouri Syrine successfully completed a JavaScript Tutorial course on July 25, 2017, as verified by Yeva Hyusyan, Chief Executive Officer, with certificate number 1024-245699.
A certificate was issued to Maamouri Syrine on April 7, 2017 for successfully completing the CSS Fundamentals course. The certificate was signed by Yeva Hyusyan, Chief Executive Officer of CSS, and the certificate number is 1023-245699.
Dr. Naguib Attia and Takreem El-Tohamy of IBM certify that Syrine Maamouri passed the IBM Academic Certificate exam for Big Data Developer on March 21, 2017. This achievement earns Syrine Maamouri a Mastery Award Badge from IBM's Skills Academy for her skills in big data development.
j'ai étudié les outils de dessin vectoriel, l’utilisation avancée des outils, des effets et des filtres avec Photoshop, Flash, Illustrator,
**Thèmes de cette formation;
Paramétrer l’interface , Bridge, L’interface , Maniement avancé des outils vectoriels, Modifications avancées, Gestion des repères et des couleurs de sorties , Gestion de la couleur
j'ai étudié les langages de programmation PHP et JavaScript, HTML , CSS , Doctrine ORM ,PDO , Découpage et intégration d’une maquette PSD et intégration maquette HTML.
**Les Objectifs de cette formation;
devenir étre capable de créer des pages en HTML et utiliser JavaScript , Connaître le niveau de support des fonctionnalités php, Mettre en page et en forme avec CSS .
j'ai étudié les outils suivants :Architectures N-tiers, UML, Orienté objet, Java, JDBC, JSP, Servlets, Applets, Composantes J2EE, Services, MVC2, Mapping Objet/Relationnel, Hibernate, JPA, HQL, Struts, JSF2, Spring, EJB3, Ant, Maven, Apache Tomcat, JBOSS, Eclipse avec des applications pratique en JAVA et J2EE.
**objectifs:
Devenir un développeur web avec la technologie J2EE ou développeur java
The certificate certifies that Maamouri Syrine successfully completed the SQL Fundamentals course in SQL. It was issued on August 12, 2015 by Yeva Hyusyan, the Chief Executive Officer, with the certificate number 1060-245699.
This certificate certifies that Maamouri Syrine successfully completed a PHP Tutorial course in PHP. The certificate was issued on September 4, 2015 and was signed by Yeva Hyusyan, the Chief Executive Officer.
This certificate certifies that Maamouri Syrine successfully completed an HTML Fundamentals course. The certificate was issued on September 4, 2015 and was signed by Yeva Hyusyan, the Chief Executive Officer of the organization. The certificate number is 1014-245699.
Understanding Inductive Bias in Machine LearningSUTEJAS
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.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
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.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
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.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
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.
j'ai étudié les outils de dessin vectoriel, l’utilisation avancée des outils, des effets et des filtres avec Photoshop, Flash, Illustrator,
**Thèmes de cette formation;
Paramétrer l’interface , Bridge, L’interface , Maniement avancé des outils vectoriels, Modifications avancées, Gestion des repères et des couleurs de sorties , Gestion de la couleur
j'ai étudié les langages de programmation PHP et JavaScript, HTML , CSS , Doctrine ORM ,PDO , Découpage et intégration d’une maquette PSD et intégration maquette HTML.
**Les Objectifs de cette formation;
devenir étre capable de créer des pages en HTML et utiliser JavaScript , Connaître le niveau de support des fonctionnalités php, Mettre en page et en forme avec CSS .
j'ai étudié les outils suivants :Architectures N-tiers, UML, Orienté objet, Java, JDBC, JSP, Servlets, Applets, Composantes J2EE, Services, MVC2, Mapping Objet/Relationnel, Hibernate, JPA, HQL, Struts, JSF2, Spring, EJB3, Ant, Maven, Apache Tomcat, JBOSS, Eclipse avec des applications pratique en JAVA et J2EE.
**objectifs:
Devenir un développeur web avec la technologie J2EE ou développeur java
The certificate certifies that Maamouri Syrine successfully completed the SQL Fundamentals course in SQL. It was issued on August 12, 2015 by Yeva Hyusyan, the Chief Executive Officer, with the certificate number 1060-245699.
This certificate certifies that Maamouri Syrine successfully completed a PHP Tutorial course in PHP. The certificate was issued on September 4, 2015 and was signed by Yeva Hyusyan, the Chief Executive Officer.
This certificate certifies that Maamouri Syrine successfully completed an HTML Fundamentals course. The certificate was issued on September 4, 2015 and was signed by Yeva Hyusyan, the Chief Executive Officer of the organization. The certificate number is 1014-245699.
Understanding Inductive Bias in Machine LearningSUTEJAS
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.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
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.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
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.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
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.
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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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.