This document provides a summary of announcements from Google I/O 2018 about updates to Android Things. Android Things is Google's version of Android optimized for IoT devices. New features include turnkey hardware options with integrated System on Modules and Board Support Packages, a smaller memory footprint compared to regular Android, and an Android Things Support Library that provides APIs for peripheral I/O and user drivers. Google also discussed updates to the Android Things console for remote device management and app deployment.
Google I/O is an annual developer conference hosted by Google. I was fortunate enough to attend this conference from Taiwan. In this presentation I will be sharing what I learned and experienced. I will also talk about development on the Google Glass.
It is a presentation about mobile Operating System designed by four founders and maintained by Google. It is the most selling OS in history. It has over 2 Billion monthly user base. It has over 4 million apps on it's market known by Google Play. It was established in 2003 AD. It was founded in Palo Alto, California.
It has formed Open Handet Alliance with Samsung, Acer, Intel, LG, Huwaei, Xioami. Oreo has only taken 0.7% market in present time, 2018 Janaury. Most installed version is MarshMallow.
Google I/O is an annual developer conference hosted by Google. I was fortunate enough to attend this conference from Taiwan. In this presentation I will be sharing what I learned and experienced. I will also talk about development on the Google Glass.
It is a presentation about mobile Operating System designed by four founders and maintained by Google. It is the most selling OS in history. It has over 2 Billion monthly user base. It has over 4 million apps on it's market known by Google Play. It was established in 2003 AD. It was founded in Palo Alto, California.
It has formed Open Handet Alliance with Samsung, Acer, Intel, LG, Huwaei, Xioami. Oreo has only taken 0.7% market in present time, 2018 Janaury. Most installed version is MarshMallow.
The Key Concepts of App Tracking for DevelopersSergii Zhuk
Slides from my talk at Droidcon Krakow 2016.
About the conference: http://droidcon.pl.
More Android stuff:
https://medium.com/@sergii
https://twitter.com/sergiizhuk
What is the real state of the new features, appliance and general news shown in the last Google IO ? What is up whats is down about the new Google technologies...
A talk given by me at the June "Mumbai Android Developers (MAD)" meetup.
I gave a recap of the Google I/O 2017 from a user as well as developer point of view. Being an Android meetup, we concentrated on the Android launches, framework updates and the overall momentum change in the tech world.
Faster mobile development workflow - Szabolcs Bobor - HWSW Mobile!Mito
Szabolcs, our Head of Development, talked about our mobile development processes. We have taken a lot of steps to enhance the daily tasks of building and distributing the apps to internal and external users also.
HWSW Mobile! is Hungary's leading mobile conference with more than 600 attendees and 80 speakers.
The presentation was based on the following (hungarian) Medium post: https://medium.com/mito/mobil-appok-automata-disztribúciója-6f795321a74
Sony R&D Center has been though robotics history and products for years. As robotics platform and Robotics Operating System (ROS) getting matured, there is a requirement to handle the distributed system integration. Using Kubernetes on edge cluster system, there are a lot of advantages such as application lifecycle, deployment and recovery. Also using CNI and ROS Data Distributed System, it can construct distributed system on edge cluster, so that multiple robots can connect directedly and work collaboratively for the specific task. We will share how we can use Kubernetes on edge including deployment robotics application and possible problems based on our experience. Furthermore, we will share our approach to support edge dependent platform with device-plugin to attach hardware resources and even virtual devices which access to the host system such as 3rd party application.
JIRA 7 for Developers - Bartek Gatz Filip Rogaczewski Ian GrunertAtlassian
Lots changed with the JIRA platform this year: the JIRA REST API, Atlassian Connect, and JIRA Data Center, to name a few. Learn all about what's new and what's coming up next in this update for add-on developers.
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.
The Key Concepts of App Tracking for DevelopersSergii Zhuk
Slides from my talk at Droidcon Krakow 2016.
About the conference: http://droidcon.pl.
More Android stuff:
https://medium.com/@sergii
https://twitter.com/sergiizhuk
What is the real state of the new features, appliance and general news shown in the last Google IO ? What is up whats is down about the new Google technologies...
A talk given by me at the June "Mumbai Android Developers (MAD)" meetup.
I gave a recap of the Google I/O 2017 from a user as well as developer point of view. Being an Android meetup, we concentrated on the Android launches, framework updates and the overall momentum change in the tech world.
Faster mobile development workflow - Szabolcs Bobor - HWSW Mobile!Mito
Szabolcs, our Head of Development, talked about our mobile development processes. We have taken a lot of steps to enhance the daily tasks of building and distributing the apps to internal and external users also.
HWSW Mobile! is Hungary's leading mobile conference with more than 600 attendees and 80 speakers.
The presentation was based on the following (hungarian) Medium post: https://medium.com/mito/mobil-appok-automata-disztribúciója-6f795321a74
Sony R&D Center has been though robotics history and products for years. As robotics platform and Robotics Operating System (ROS) getting matured, there is a requirement to handle the distributed system integration. Using Kubernetes on edge cluster system, there are a lot of advantages such as application lifecycle, deployment and recovery. Also using CNI and ROS Data Distributed System, it can construct distributed system on edge cluster, so that multiple robots can connect directedly and work collaboratively for the specific task. We will share how we can use Kubernetes on edge including deployment robotics application and possible problems based on our experience. Furthermore, we will share our approach to support edge dependent platform with device-plugin to attach hardware resources and even virtual devices which access to the host system such as 3rd party application.
JIRA 7 for Developers - Bartek Gatz Filip Rogaczewski Ian GrunertAtlassian
Lots changed with the JIRA platform this year: the JIRA REST API, Atlassian Connect, and JIRA Data Center, to name a few. Learn all about what's new and what's coming up next in this update for add-on developers.
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.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
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.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
