An introduction to using the Dagger 2 dependency injection framework for Android applications. Brief explanation of dependency injection and a example of how to implement Dagger 2. Includes a real world example of Dagger 2
Building android apps with MVP, Dagger, Retrofit, Gson, JSON, Kotlin Data Cl...Hammad Tariq
Architect android apps with MVP, Dagger, Retrofit, Gson, JSON, Kotlin Data Classes and RecyclerView using Kotlin.
How to Convert JSON to Kotlin Data Classes.
Kotlin Retrofit Example with RecyclerView.
MVP Android using Kotlin project structure.
Kotlin Android Dagger2 Tutorial.
How to use GSON serialization for JSON response in Kotlin.
Find More on:
http://developine.com/building-android-mvp-app-in-kotlin-using-dagger-retrofit/
And
http://developine.com/
The document discusses the author's experience creating an Android app using Kotlin. It begins with introductions and then describes how to set up Kotlin for Android development. The author then shows code examples from an app that makes the device sleep when tapped. A comparison is made between the Kotlin and Java versions of the code, noting that the Kotlin code is more concise. In summary, the author finds that Kotlin reduces the amount of coding needed compared to Java.
The document provides an overview of the Android infrastructure and key concepts:
(1) It describes the layers of an Android application including the presentation layer, application logic layer, and domain layer.
(2) It explains important Android concepts such as the Android runtime environment, Dalvik virtual machine, application lifecycle and activities, and use of contexts.
(3) It discusses alternatives for common tasks like dependency injection with RoboGuice and Dagger, handling resources and views with ButterKnife and AndroidAnnotations, and accessing data with SQLite and ORMLite.
(4) It also briefly covers testing approaches on the DVM and JVM using AndroidTestCase, Robotium, and Robolectric
The document summarizes recent efforts and the roadmap for Gradle, an open-source build automation tool. It discusses highlights since Gradle 2.0 such as sharing configuration files across builds and parallel compilation support. It also covers upcoming features like a shared build cache and further native build support. A demo is presented on BuildShip, a new Eclipse plugin for Gradle, as well as ongoing work to optimize configuration time and dependency management.
Android App Architecture with modern libs in practice. Our way in R.I.D., Ser...Sigma Software
The document discusses the architecture and testing approach used in an Android application called R.I.D. It describes the Dagger dependency injection structure including AppComponent, BaseActivityComponent, and ActivityComponent. It provides code samples for modules, subcomponents, and annotations. It also discusses the use of UI tests with Espresso and custom rules to mock dependencies, as well as unit testing with mocked presenters and custom RxJava schedulers. Finally, it covers test coverage, continuous integration, hiring needs, and future plans.
The document summarizes the new features in Android Studio 3.2 beta, including AndroidX for reorganizing Android support library packages, dynamic delivery of APKs using app bundles, and dynamic delivery of features using dynamic feature modules. It provides details on migrating to AndroidX, building app bundles and dynamic feature modules, and how they allow serving optimized APKs based on user device configuration. The release also includes improvements to the build tools, emulator, and other developer tools.
This document summarizes a presentation on reverse engineering obfuscated Android applications. It discusses reverse engineering techniques like static and dynamic analysis. It covers analyzing the Android application package (APK) file format and tools like apktool, smali, baksmali, and dex2jar. Common obfuscation techniques like string encryption, call hiding using reflection, and native code are also summarized. The document concludes by recommending further reading on tools and the arms race between attackers and defenders applying obfuscation.
This document discusses asynchronous programming in Android. It begins by explaining that Android creates a main UI thread for each application and that this thread should not be blocked. It then covers various Android APIs for performing asynchronous tasks including AsyncTask, Loaders, Services, and libraries like RxJava and event buses. It emphasizes that long or complex operations should be done asynchronously off the UI thread to avoid janking or ANR errors. It concludes with recommendations on monitoring the UI thread for responsiveness.
Building android apps with MVP, Dagger, Retrofit, Gson, JSON, Kotlin Data Cl...Hammad Tariq
Architect android apps with MVP, Dagger, Retrofit, Gson, JSON, Kotlin Data Classes and RecyclerView using Kotlin.
How to Convert JSON to Kotlin Data Classes.
Kotlin Retrofit Example with RecyclerView.
MVP Android using Kotlin project structure.
Kotlin Android Dagger2 Tutorial.
How to use GSON serialization for JSON response in Kotlin.
Find More on:
http://developine.com/building-android-mvp-app-in-kotlin-using-dagger-retrofit/
And
http://developine.com/
The document discusses the author's experience creating an Android app using Kotlin. It begins with introductions and then describes how to set up Kotlin for Android development. The author then shows code examples from an app that makes the device sleep when tapped. A comparison is made between the Kotlin and Java versions of the code, noting that the Kotlin code is more concise. In summary, the author finds that Kotlin reduces the amount of coding needed compared to Java.
The document provides an overview of the Android infrastructure and key concepts:
(1) It describes the layers of an Android application including the presentation layer, application logic layer, and domain layer.
(2) It explains important Android concepts such as the Android runtime environment, Dalvik virtual machine, application lifecycle and activities, and use of contexts.
(3) It discusses alternatives for common tasks like dependency injection with RoboGuice and Dagger, handling resources and views with ButterKnife and AndroidAnnotations, and accessing data with SQLite and ORMLite.
(4) It also briefly covers testing approaches on the DVM and JVM using AndroidTestCase, Robotium, and Robolectric
The document summarizes recent efforts and the roadmap for Gradle, an open-source build automation tool. It discusses highlights since Gradle 2.0 such as sharing configuration files across builds and parallel compilation support. It also covers upcoming features like a shared build cache and further native build support. A demo is presented on BuildShip, a new Eclipse plugin for Gradle, as well as ongoing work to optimize configuration time and dependency management.
Android App Architecture with modern libs in practice. Our way in R.I.D., Ser...Sigma Software
The document discusses the architecture and testing approach used in an Android application called R.I.D. It describes the Dagger dependency injection structure including AppComponent, BaseActivityComponent, and ActivityComponent. It provides code samples for modules, subcomponents, and annotations. It also discusses the use of UI tests with Espresso and custom rules to mock dependencies, as well as unit testing with mocked presenters and custom RxJava schedulers. Finally, it covers test coverage, continuous integration, hiring needs, and future plans.
The document summarizes the new features in Android Studio 3.2 beta, including AndroidX for reorganizing Android support library packages, dynamic delivery of APKs using app bundles, and dynamic delivery of features using dynamic feature modules. It provides details on migrating to AndroidX, building app bundles and dynamic feature modules, and how they allow serving optimized APKs based on user device configuration. The release also includes improvements to the build tools, emulator, and other developer tools.
This document summarizes a presentation on reverse engineering obfuscated Android applications. It discusses reverse engineering techniques like static and dynamic analysis. It covers analyzing the Android application package (APK) file format and tools like apktool, smali, baksmali, and dex2jar. Common obfuscation techniques like string encryption, call hiding using reflection, and native code are also summarized. The document concludes by recommending further reading on tools and the arms race between attackers and defenders applying obfuscation.
This document discusses asynchronous programming in Android. It begins by explaining that Android creates a main UI thread for each application and that this thread should not be blocked. It then covers various Android APIs for performing asynchronous tasks including AsyncTask, Loaders, Services, and libraries like RxJava and event buses. It emphasizes that long or complex operations should be done asynchronously off the UI thread to avoid janking or ANR errors. It concludes with recommendations on monitoring the UI thread for responsiveness.
Slides of the Java One 2015 talk "Apache DeltaSpike - the CDI Toolbox". It contains presentation of Apache DeltaSpike, the framework that extends CDI in Java or Java EE
Effective Development With Eclipse Mylyn, Git, Gerrit and HudsonChris Aniszczyk
This document discusses effective development using Eclipse, Mylyn, Git, Gerrit and Hudson (Jenkins). It introduces Mylyn and how it integrates tasks within Eclipse to reduce context switching. It also discusses how Mylyn integrates with Hudson for continuous integration and builds. It covers why distributed version control systems like Git are becoming popular and the benefits they provide for collaboration and workflow. It describes Eclipse's experience moving to Git and challenges they faced.
Курс Java-2016. Занятие 04 (часть 2). Git и GitHub7bits
This document discusses setting up and using Git and GitHub for version control of a Java project. It explains how to initialize a Git repository, add and commit files, configure user information, check status and history, ignore files, connect to a remote GitHub repository, authenticate with SSH keys, and push code to GitHub. The steps taken are initializing a Git repository, adding files, committing with a message, configuring user details, viewing status and log, ignoring files, connecting to a remote repository, generating and adding SSH keys, and pushing the local code to the remote GitHub repository.
The document appears to be a slide deck from the Jenkins User Conference held on October 23, 2013 in Palo Alto. It discusses the state of Jenkins and its community. Key points include that Jenkins now has over 2.5 million users, a 45% growth in its community in the past year, and efforts to improve performance through optimizations to the master-slave architecture and SSH communication.
Building Universal Applications with Angular 2Minko Gechev
Angular is one of the most popular frameworks for the development of Single-Page Applications (SPA). Recently Google announced its second major version, which brings some brand new ideas and improvements. For instance, Angular 2 is written in TypeScript, has much faster change detection and allows development of universal (isomorphic) applications.
In this talk we're going to introduce the motivation behind the new design decisions and the improvements in Angular 2. We'll take a look at the building blocks the framework provides for the development of professional single-page applications.
Controlling your race with Micrometer and Spring Boot / Micronaut (Brown Bag)Ko Turk
Abstract "Imagine that you’re part of a (car) race team. You’re the one behind the screens to control the race and make some tough decisions (like changing the team's strategy).
But you don’t have the insights (or metrics) about your car, opponents or even the weather. Sounds painful right? But why are we making this mistake when building our software? Why don’t we implement metrics by default?
SLFf4J logging is one side of the story, but we also need to know our application health. That’s where Micrometer comes in! It’s a library which you can use to define your own custom metrics, like:
-timers (to check the performance of your microservices)
-counters (to check how many times a certain event is occurring)
-gauges (to check the current value of a variable)
-and many more
These metrics are exposed by REST endpoints (JSON) together with Spring Boot actuator, which can be saved into a database like Prometheus or Graphite. And to visualize the data you can use a tool like Grafana. Pretty interesting right?
In the demo (live coding!) Ko Turk will show you how to create such applications using Micrometer, Spring Boot and Cloud Foundry as our platform. Ready to win this race with him? Jump in!"
Kubernetes GitOps featuring GitHub, Kustomize and ArgoCDSunnyvale
A brief dissertation about using GitOps paradigm to operate an application on multiple Kubernetes environments thanks to GitHub, ArgoCD and Kustomize. A talk about this matters has been taken at the event #CloudConf2020
This presentation slide describe basic understanding of Dependency Injection(DI) as well as why it is needed. Main purposes of the presentation slide are to explain the basic things of Dagger2 and annotation of Dagger2. This presentation slide is beneficial for all kinds of android developer from beginner to expert.
Dagger provides an alternative way to manage object dependencies through dependency injection. It uses compile time annotation processing to generate code that handles dependency resolution. Dagger eliminates the need to manually pass dependencies between objects. It supports features like lazy injection, providers, and scopes to control object lifecycles. The New York Times leveraged Dagger to decompose activities and share singletons like presenters across an application.
Using Dagger in a Clean Architecture projectFabio Collini
Clean Architecture and app modularization are often used together to achieve a better code structure and a faster build time. But how can we use Dagger in an app structured in that way? Can we use subcomponents (with or without Dagger Android) or are component dependencies enough?
In this talk we’ll see how to leverage Dagger to organize the dependencies in a multi-module project with particular attention to testing and decoupling. The examples will be both in a standard layered architecture and in a Clean Architecture where the Dependency Inversion increases the overall structure but can complicate the Dagger code.
Fast dependency injection for Android applications.
Check my samples out:
https://github.com/rodrigohenriques/android-mvp-clean-architecture
https://github.com/rodrigohenriques/Dagger-2-Sample
Linkedin: https://br.linkedin.com/in/henriquesrodrigo
Dagger 2 analyzes dependencies and generates code to wire them together without manual work. It uses annotations like @Inject, @Module and @Provides to associate classes and provide dependencies. Objects are injected by calling inject() on a Component, which locates dependencies by type. Scopes like @Singleton control the lifetime of objects. Modules define how to provide dependencies, and Components bring Modules together to inject objects.
Basic Concepts towards understanding of Dagger-2 in android.
Native android development made easy by google dagger libraries. Easy way to understand basic concepts of Dagger and android mobile app development libraries.
Dependency injection and dagger2 in android paramvir singhParamvir Singh
What is dependency injection principle in programming. What are its usages and where to use it? Dependency inversion principle. How to implement DI in Android. Dagger2 framework in Android. Android app development with Dagger2. Scope and components.
Must use framework for Android developers.
This document provides tips for optimizing Gradle builds, including how to install and initialize Gradle projects, configure multi-project builds, improve build performance with plugins and incremental builds, and generate code coverage reports across multiple projects. Key recommendations include using the Gradle wrapper to define project dependencies, leveraging conventions over configuration, applying useful plugins like versions and license, and aggregating JaCoCo reports in a root project.
This document discusses reverse engineering of Android applications. It provides an overview of Android, noting that it is an open source platform based on Linux and uses Java and the Dalvik Virtual Machine. It lists the tools needed for reverse engineering like JRE, Apktools, SignApk, Dex2jar, and JD-GUI. It outlines two approaches - using Apktool to convert the DEX to SMALI or using Dex2jar to convert to a JAR and then Java. The document concludes by mentioning a live demo will be provided.
This document provides an overview of Dagger 2 for dependency injection in Android applications. It discusses key concepts like components and modules, dependency injection via constructor parameters versus field injection, and best practices like favoring constructor injection and static @Provides methods. It also mentions alternatives like Koin for dependency injection in Kotlin applications and recommends some resources for further reading on using Dagger 2 in Java and Kotlin projects.
General slides introducing Flutter and Dart, it's rising acceptance, some rendering comparisons to Android, 30+ widgets you should know, future steps and some resource for further study.
Dagger2 is a dependency injection library for Java and Android that allows defining injection rules through annotations. It aims for high performance by using annotation processing instead of reflection. Dagger provides a clean architecture by separating concerns into modules that provide dependencies and components that inject them where needed. This improves flexibility, testability, and the ability to reconfigure without recompiling code.
This document outlines an Android study jam session on navigation, fragments, and activity and fragment lifecycles. It introduces fragments and the navigation component in Android and explains the lifecycles of activities and fragments. It also discusses logging with Log and Timber and using Safe Args to pass arguments between fragments. The session aims to help participants learn Kotlin and build Android apps through coding labs and sharing demos.
This document provides guidance on writing Android libraries. It discusses getting started by creating a library module in Android Studio or using the command line. It emphasizes the importance of testing libraries using tools like JUnit, Burst, and Jenkins. The document also covers publishing libraries to Bintray and generating AAR and JAR files. More advanced topics discussed include annotation processing, using the NDK for native code, and including native libraries in the published JAR file. The key takeaways are to embrace Gradle, explore Gradle plugins, automate testing, use Bintray for publishing, and that writing libraries can be very rewarding.
Slides of the Java One 2015 talk "Apache DeltaSpike - the CDI Toolbox". It contains presentation of Apache DeltaSpike, the framework that extends CDI in Java or Java EE
Effective Development With Eclipse Mylyn, Git, Gerrit and HudsonChris Aniszczyk
This document discusses effective development using Eclipse, Mylyn, Git, Gerrit and Hudson (Jenkins). It introduces Mylyn and how it integrates tasks within Eclipse to reduce context switching. It also discusses how Mylyn integrates with Hudson for continuous integration and builds. It covers why distributed version control systems like Git are becoming popular and the benefits they provide for collaboration and workflow. It describes Eclipse's experience moving to Git and challenges they faced.
Курс Java-2016. Занятие 04 (часть 2). Git и GitHub7bits
This document discusses setting up and using Git and GitHub for version control of a Java project. It explains how to initialize a Git repository, add and commit files, configure user information, check status and history, ignore files, connect to a remote GitHub repository, authenticate with SSH keys, and push code to GitHub. The steps taken are initializing a Git repository, adding files, committing with a message, configuring user details, viewing status and log, ignoring files, connecting to a remote repository, generating and adding SSH keys, and pushing the local code to the remote GitHub repository.
The document appears to be a slide deck from the Jenkins User Conference held on October 23, 2013 in Palo Alto. It discusses the state of Jenkins and its community. Key points include that Jenkins now has over 2.5 million users, a 45% growth in its community in the past year, and efforts to improve performance through optimizations to the master-slave architecture and SSH communication.
Building Universal Applications with Angular 2Minko Gechev
Angular is one of the most popular frameworks for the development of Single-Page Applications (SPA). Recently Google announced its second major version, which brings some brand new ideas and improvements. For instance, Angular 2 is written in TypeScript, has much faster change detection and allows development of universal (isomorphic) applications.
In this talk we're going to introduce the motivation behind the new design decisions and the improvements in Angular 2. We'll take a look at the building blocks the framework provides for the development of professional single-page applications.
Controlling your race with Micrometer and Spring Boot / Micronaut (Brown Bag)Ko Turk
Abstract "Imagine that you’re part of a (car) race team. You’re the one behind the screens to control the race and make some tough decisions (like changing the team's strategy).
But you don’t have the insights (or metrics) about your car, opponents or even the weather. Sounds painful right? But why are we making this mistake when building our software? Why don’t we implement metrics by default?
SLFf4J logging is one side of the story, but we also need to know our application health. That’s where Micrometer comes in! It’s a library which you can use to define your own custom metrics, like:
-timers (to check the performance of your microservices)
-counters (to check how many times a certain event is occurring)
-gauges (to check the current value of a variable)
-and many more
These metrics are exposed by REST endpoints (JSON) together with Spring Boot actuator, which can be saved into a database like Prometheus or Graphite. And to visualize the data you can use a tool like Grafana. Pretty interesting right?
In the demo (live coding!) Ko Turk will show you how to create such applications using Micrometer, Spring Boot and Cloud Foundry as our platform. Ready to win this race with him? Jump in!"
Kubernetes GitOps featuring GitHub, Kustomize and ArgoCDSunnyvale
A brief dissertation about using GitOps paradigm to operate an application on multiple Kubernetes environments thanks to GitHub, ArgoCD and Kustomize. A talk about this matters has been taken at the event #CloudConf2020
This presentation slide describe basic understanding of Dependency Injection(DI) as well as why it is needed. Main purposes of the presentation slide are to explain the basic things of Dagger2 and annotation of Dagger2. This presentation slide is beneficial for all kinds of android developer from beginner to expert.
Dagger provides an alternative way to manage object dependencies through dependency injection. It uses compile time annotation processing to generate code that handles dependency resolution. Dagger eliminates the need to manually pass dependencies between objects. It supports features like lazy injection, providers, and scopes to control object lifecycles. The New York Times leveraged Dagger to decompose activities and share singletons like presenters across an application.
Using Dagger in a Clean Architecture projectFabio Collini
Clean Architecture and app modularization are often used together to achieve a better code structure and a faster build time. But how can we use Dagger in an app structured in that way? Can we use subcomponents (with or without Dagger Android) or are component dependencies enough?
In this talk we’ll see how to leverage Dagger to organize the dependencies in a multi-module project with particular attention to testing and decoupling. The examples will be both in a standard layered architecture and in a Clean Architecture where the Dependency Inversion increases the overall structure but can complicate the Dagger code.
Fast dependency injection for Android applications.
Check my samples out:
https://github.com/rodrigohenriques/android-mvp-clean-architecture
https://github.com/rodrigohenriques/Dagger-2-Sample
Linkedin: https://br.linkedin.com/in/henriquesrodrigo
Dagger 2 analyzes dependencies and generates code to wire them together without manual work. It uses annotations like @Inject, @Module and @Provides to associate classes and provide dependencies. Objects are injected by calling inject() on a Component, which locates dependencies by type. Scopes like @Singleton control the lifetime of objects. Modules define how to provide dependencies, and Components bring Modules together to inject objects.
Basic Concepts towards understanding of Dagger-2 in android.
Native android development made easy by google dagger libraries. Easy way to understand basic concepts of Dagger and android mobile app development libraries.
Dependency injection and dagger2 in android paramvir singhParamvir Singh
What is dependency injection principle in programming. What are its usages and where to use it? Dependency inversion principle. How to implement DI in Android. Dagger2 framework in Android. Android app development with Dagger2. Scope and components.
Must use framework for Android developers.
This document provides tips for optimizing Gradle builds, including how to install and initialize Gradle projects, configure multi-project builds, improve build performance with plugins and incremental builds, and generate code coverage reports across multiple projects. Key recommendations include using the Gradle wrapper to define project dependencies, leveraging conventions over configuration, applying useful plugins like versions and license, and aggregating JaCoCo reports in a root project.
This document discusses reverse engineering of Android applications. It provides an overview of Android, noting that it is an open source platform based on Linux and uses Java and the Dalvik Virtual Machine. It lists the tools needed for reverse engineering like JRE, Apktools, SignApk, Dex2jar, and JD-GUI. It outlines two approaches - using Apktool to convert the DEX to SMALI or using Dex2jar to convert to a JAR and then Java. The document concludes by mentioning a live demo will be provided.
This document provides an overview of Dagger 2 for dependency injection in Android applications. It discusses key concepts like components and modules, dependency injection via constructor parameters versus field injection, and best practices like favoring constructor injection and static @Provides methods. It also mentions alternatives like Koin for dependency injection in Kotlin applications and recommends some resources for further reading on using Dagger 2 in Java and Kotlin projects.
General slides introducing Flutter and Dart, it's rising acceptance, some rendering comparisons to Android, 30+ widgets you should know, future steps and some resource for further study.
Dagger2 is a dependency injection library for Java and Android that allows defining injection rules through annotations. It aims for high performance by using annotation processing instead of reflection. Dagger provides a clean architecture by separating concerns into modules that provide dependencies and components that inject them where needed. This improves flexibility, testability, and the ability to reconfigure without recompiling code.
This document outlines an Android study jam session on navigation, fragments, and activity and fragment lifecycles. It introduces fragments and the navigation component in Android and explains the lifecycles of activities and fragments. It also discusses logging with Log and Timber and using Safe Args to pass arguments between fragments. The session aims to help participants learn Kotlin and build Android apps through coding labs and sharing demos.
This document provides guidance on writing Android libraries. It discusses getting started by creating a library module in Android Studio or using the command line. It emphasizes the importance of testing libraries using tools like JUnit, Burst, and Jenkins. The document also covers publishing libraries to Bintray and generating AAR and JAR files. More advanced topics discussed include annotation processing, using the NDK for native code, and including native libraries in the published JAR file. The key takeaways are to embrace Gradle, explore Gradle plugins, automate testing, use Bintray for publishing, and that writing libraries can be very rewarding.
This presentation is about Dependency Injection using dagger2 in Android. I highly hope these slides would help you to understand dagger2.
Also, I provide a sample dagger2 repo. So if you want to add dagger2 in your project feel free to use this repo:
https://github.com/javadhme/dagger-master-project
One more thing, If these assets help you to understand dagger2 do not forget to star my github repo.
Dagger 2 is a dependency injection framework created by Google to address issues with previous solutions like Dagger 1. It aims to generate object graphs at compile time instead of using reflection at runtime, making the code faster and allowing errors to be detected earlier. It uses annotations like @Inject, @Module and @Component to identify dependencies and generate implementation code. If any dependencies cannot be satisfied, it fails to compile rather than causing runtime errors. The documentation recommends proceeding with caution as Dagger 2 is still in pre-alpha stage.
LibGDX is an open source, cross-platform game development framework. It allows developers to write games that can be deployed to desktop, Android, iOS, and HTML5 web browsers. LibGDX provides tools for game development including asset management, 2D and 3D graphics rendering, input handling, audio playback, and more. It aims to be highly performant and optimized for mobile platforms. Getting started involves creating a project, adding the LibGDX libraries, and implementing the ApplicationListener interface.
[Ultracode Munich #4] Short introduction to the new Android build system incl...BeMyApp
By Thomas Endres & Andres Würl both Senior Consultant from TNG Technology Consulting https://www.tngtech.com
Join the Ultracode Munich meetup: http://www.meetup.com/Ultracode-Munich/
Cleaning your architecture with android architecture componentsDebora Gomez Bertoli
This document discusses cleaning up Android architecture using Architecture Components. It begins with an overview of issues with previous approaches like callbacks between layers. It then covers how each component addresses these issues: ViewModel/LiveData for presentation, MediatorLiveData for merging repository calls in the domain layer, and Room/Paging Library for the data layer. Considerations are provided for each component regarding threading, lifecycles, and other best practices. Code examples demonstrate implementations across the layers following these guidelines.
Similar to How To Dependency Inject a Kitten: An Introduction to Dagger 2 (20)
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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.
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
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 review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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.
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.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
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
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
How To Dependency Inject a Kitten: An Introduction to Dagger 2
1. Todd Burgess
Todd Burgess Media
todd@toddburgessmedia.com
Twitter: @tburgess57
Github: toddburgessmedia
Introduction to Dagger 2
How to Dependency Inject a Kitten
An Introduction to Dagger 2
2. Give an object its instance variables
James Shore
Introduction to Dagger 2
Dependency Injection Definition
3. Introduction to Dagger 2
The Tail of 2 Constructors
class A {
B b;
public A () {
this.b = new B();
}
public A (B b) {
this.b = b;
}
}
4. Dagger 2 is a library that manages dependency injection in our Android
applications
Dagger 2 is maintained by Google and is a fork of Dagger 1 that was
done by Square
Introduction to Dagger 2
Dagger 2 Introduction
11. 1)Create Modules to Provide Dependencies
1)Create Component to Link Modules to
Activities/Fragments
1)Create Component instance in Application
1)Inject dependencies into Activites/Fragments
Introduction to Dagger 2
Dagger 2 in a Nutshell
19. @Inject
lateinit var prefs : SharePreferences
Avoid null checks for dependency injected fields with lateinit
Introduction to Dagger 2
Dagger 2 and Kotlin
Lateinit for field injection
20. Introduction to Dagger 2
How to Dependency Inject a Kitten
Toronto Cat Rescue Kitten - Argo
21. Library by Square
Retrofit queries REST sources and returns the result as POJOs
Introduction to Dagger 2
Introduction to Retrofit
22. Get All Cats Available for Adoption Using Retrofit
25. Dagger 2 allows you the developer to focus more on writing code and
instead of maintaining it
Dagger 2 can be used to assist with testing and app frameworks (ex.
MVP)
Introduction to Dagger 2
In Conclusion