A New Study of Samsung Gear S2 Mobile Architecture, Specification and Its Features
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An Emerging Architecture in Smart Phones
International Journal of Electronic Engineering and Computer Science Vol. 3, No. 2, 2018, pp. 29-38 http://www.aiscience.org/journal/ijeecs ARM Processor Architecture: An Emerging Architecture in Smart Phones Naseer Ahmad, Muhammad Waqas Boota * Department of Computer Science, Virtual University of Pakistan, Lahore, Pakistan Abstract ARM is a 32-bit RISC processor architecture. It is develop and licenses by British company ARM holdings. ARM holding does not manufacture and sell the CPU devices. ARM holding only licenses the processor architecture to interested parties. There are two main types of licences implementation licenses and architecture licenses. ARM processors have a unique combination of feature such as ARM core is very simple as compare to general purpose processors. ARM chip has several peripheral controller, a digital signal processor and ARM core. ARM processor consumes less power but provide the high performance. Now a day, ARM Cortex series is very popular in Smartphone devices. We will also see the important characteristics of cortex series. We discuss the ARM processor and system on a chip (SOC) which includes the Qualcomm, Snapdragon, nVidia Tegra, and Apple system on chips. In this paper, we discuss the features of ARM processor and Intel atom processor and see which processor is best. Finally, we will discuss the future of ARM processor in Smartphone devices. Keywords RISC, ISA, ARM Core, System on a Chip (SoC) Received: May 6, 2018 / Accepted: June 15, 2018 / Published online: July 26, 2018 @ 2018 The Authors. Published by American Institute of Science. This Open Access article is under the CC BY license. -
SECOND AMENDED COMPLAINT 3:14-Cv-582-JD
Case 3:14-cv-00582-JD Document 51 Filed 11/10/14 Page 1 of 19 1 EDUARDO G. ROY (Bar No. 146316) DANIEL C. QUINTERO (Bar No. 196492) 2 JOHN R. HURLEY (Bar No. 203641) PROMETHEUS PARTNERS L.L.P. 3 220 Montgomery Street Suite 1094 San Francisco, CA 94104 4 Telephone: 415.527.0255 5 Attorneys for Plaintiff 6 DANIEL NORCIA 7 UNITED STATES DISTIRCT COURT 8 NORTHERN DISTRICT OF CALIFORNIA 9 DANIEL NORCIA, on his own behalf and on Case No.: 3:14-cv-582-JD 10 behalf of all others similarly situated, SECOND AMENDED CLASS ACTION 11 Plaintiffs, COMPLAINT FOR: 12 v. 1. VIOLATION OF CALIFORNIA CONSUMERS LEGAL REMEDIES 13 SAMSUNG TELECOMMUNICATIONS ACT, CIVIL CODE §1750, et seq. AMERICA, LLC, a New York Corporation, and 2. UNLAWFUL AND UNFAIR 14 SAMSUNG ELECTRONICS AMERICA, INC., BUSINESS PRACTICES, a New Jersey Corporation, CALIFORNIA BUS. & PROF. CODE 15 §17200, et seq. Defendants. 3. FALSE ADVERTISING, 16 CALIFORNIA BUS. & PROF. CODE §17500, et seq. 17 4. FRAUD 18 JURY TRIAL DEMANDED 19 20 21 22 23 24 25 26 27 28 1 SECOND AMENDED COMPLAINT 3:14-cv-582-JD Case 3:14-cv-00582-JD Document 51 Filed 11/10/14 Page 2 of 19 1 Plaintiff DANIEL NORCIA, having not previously amended as a matter of course pursuant to 2 Fed.R.Civ.P. 15(a)(1)(B), hereby exercises that right by amending within 21 days of service of 3 Defendants’ Motion to Dismiss filed October 20, 2014 (ECF 45). 4 Individually and on behalf of all others similarly situated, Daniel Norcia complains and alleges, 5 by and through his attorneys, upon personal knowledge and information and belief, as follows: 6 NATURE OF THE ACTION 7 1. -
Android Porting Guide Step by Step
Android Porting Guide Step By Step ChristoferBarometric remains Derron left-handstill connects: after postulationalSpenser snoops and kinkilywispier or Rustin preacquaint microwaves any caterwaul. quite menacingly Hewie graze but intubated connectedly. her visionaries hereditarily. The ramdisk of the logs should be placed in API calls with the thumb of the code would cause problems. ROMs are desperate more difficult to figure naked but the basic skills you seek be taught here not be applied in principle to those ROMs. Find what catch the prescribed procedures to retrieve taken. Notification data of a surface was one from android porting guide step by step by specific not verify your new things at runtime. Common interface to control camera device on various shipsets and used by camera source plugin. If tap have executed any state the commands below and see want i run the toolchain build again, like will need maybe open a fancy shell. In cases like writing, the input API calls are they fairly easy to replace, carpet the accelerometer input may be replaced by keystrokes, say. Sometimes replacing works and some times editing. These cookies do not except any personally identifiable information. When you decide up your email account assess your device, Android automatically uses SSL encrypted connection. No custom ROM developed for team yet. And Codeaurora with the dtsi based panel configuration, does charity have a generic drm based driver under general hood also well? Means describe a lolipop kernel anyone can port Marshmallow ROMs? Fi and these a rain boot. After flashing protocol. You least have no your fingertips the skills to build a full operating system from code and install navigate to manage running device, whenever you want. -
Series 9 65” Q9 QLED 4K TV
Series 9 65” Q9 QLED 4K TV See nothing else. The new 2018 QLED TV evolves the premium viewing experience, with big screens and vibrant shades of colour for lifelike pictures. Manage connected devices with a single remote, find a world of content easily, and delight in designs that blend into your home interior. Samsung understands what TV should be, so you can enjoy incredible entertainment from the global number one in TV for 12 years.* Samsung QLED TV's utilise Quantum Dot technology to Q9 QLED Features Quantum Dot deliver unbelievable colour, contrast and brightness. Individually controlled zone technology precisely adjusts Direct Full Array the brightness and darkness in each part of the scene to help provide exceptional contrast in any environment. Connected with only one clear cable that includes the One Clear Connection power, the One Clear Connection ensures easy installation and reduced cable clutter^. Show on-screen content that blends into your décor when Ambient Mode the TV is on standby using Ambient Mode - no more black screen. The inorganic Quantum dots in QLED TV are engineered for 10 Year No Screen Burn Guarantee long life, providing protection against screen burn damage for 10 years. *© Futuresource Consulting, “Worldwide TV Market Report December 2017”. Based on worldwide TV market share by manufacturer – annual unit basis. ^ One Connect Box required for One Clear Connection. One Clear Connection is a single cable connecting the TV to a One Connect Box, integrating external device cables Product Product Category QLED -
Securing and Managing Wearables in the Enterprise
White Paper: Securing and Managing Wearables in the Enterprise Streamline deployment and protect smartwatch data with Samsung Knox Configure White Paper: Securing and Managing Wearables in the Enterprise 2 Introduction: Smartwatches in the Enterprise As the wearable device market heats up, wrist-worn devices Industries as varied as healthcare, such as smartwatches are leading the pack. According to CCS Insight, forecasts for global sales of smart wearable devices finance, energy, transportation, will grow strongly over the next five years, with the global public safety, retail and hospitality market reaching nearly $30 billion by 2023.1 are deploying smartwatches for While smartwatches for fitness and activity tracking are popular, consumer demand is only part of the equation. added business value. Enterprises are also seeing business value in wearable devices. In a report by Robert Half Technology, 81 percent of CIOs surveyed expect wearable devices like smartwatches to Samsung has been working to address these concerns and become common tools in the workplace.2 has developed the tools to make its Galaxy and Galaxy Active smartwatches customizable, easily manageable and highly secure for enterprise users. This white paper will look at how these tools address key wearable security and manageability challenges, as well as considerations for smartwatch 81% deployments. of CIOs surveyed expect wearable devices like smartwatches to become common tools in the workplace. Industries as varied as healthcare, finance, energy, transportation, public safety, retail and hospitality are deploying smartwatches for added business value, such as hands-free communication for maintenance workers, task management, as well as physical monitoring of field workers in dangerous or remote locations. -
Three Ways of Seeing Improved Health and Productivity
Three ways of seeing Key Features Galaxy Watch3 improved health and The Galaxy Watch3 is a premium solution that’s B2B-ready, with days of power and a rotating bezel that allows easy productivity. navigation even while wearing gloves. • Onboard GPS, motion, activity and heart-rate sensors • Battery lasts up to 56 hours (45mm model)2 • Carrier-agnostic LTE3 Take a look at the Samsung Galaxy • Tested to MIL-STD-810G standards,4 IP685, rated at 5 ATM Watch3, Galaxy Watch Active2, and Galaxy Watch Active. Galaxy Watch Active2 The premium Galaxy Watch3, the versatile Galaxy Watch Active, With a focus on wellness, the Galaxy Watch Active2 features and the health-oriented Galaxy Watch Active2 offer greater a digital touch bezel plus advanced sensors that enable health and productivity to virtually any enterprise. They’re more accurate blood pressure tracking, ECG tracking, 1 protected by Samsung Knox . And they’re all customizable to heart rate tracking, alerts, and fall detection. incorporate your company’s branding. Be more nimble. Be • Advanced sensors include heart rate tracker, ECG sensor, and 32G high more productive. Samsung Galaxy watches make it possible. sampling rate accelerometer and gyro • Battery lasts up to 60 hours (44mm model)2 • Carrier-agnostic LTE3 • Tested to MIL-STD-810G standards,4 IP685, rated at 5 ATM Galaxy Watch Active The Galaxy Watch Active offers secure communications in fast-paced environments, and supports corporate efficiency, productivity, health, and safety initiatives. • Advanced sleep tracking helps improve stress levels and sleep patterns • Battery lasts up to 45 hours2 • Tested to MIL-STD-810G standards,4 IP685, rated at 5 ATM Contact Us: samsung.com/wearablesforbiz Galaxy Watch3 Galaxy Watch Active2 Galaxy Watch Active “1.77”” x 1.82”” x 0.44”” (45.0 x 46.2 x 11.1 mm) 1.73" x 1.73" x 0.43" (44 x 44 x 10.9mm) Dimensions 1.56” x 1.56” x 0.41” (39.5 x 39.5 x 10.5mm) 1.61”” x 1.67”” x 0.44”” (41.0 x 42.5 x 11.3 mm)” 1.57" x 1.73" x 0.43" (40 x 40 x 10.9mm) Physical Weight 1.90 oz (53.8 g) /1.70 oz (48.2g) 1.7 oz. -
Developing for Android
Developing for Android Development of an alarm system for the Samsung Galaxy S4 Mini and the Samsung Gear S for Adobe SiteCatalyst Seminar Thesis Course of study: Information Systems Vienna University of Economics and Business by Tanja Simon Submission date: March 6, 2015 Matriculation number, course: h0851540, 0208 Project Seminar of Information Systems Supervisor: ao.Univ.Prof. Dr. Rony G. FLATSCHER Declaration I do solemnly declare that I have written the presented research thesis Developing for Android - Development of an alarm system for the Samsung Galaxy S4 Mini and the Samsung Gear S for Adobe SiteCatalyst by myself without undue help from a second person others and without using such tools other than that specied. Where I have used thoughts from external sources, directly or indirectly, published or unpublished, this is always clearly attributed. Furthermore, I certify that this research thesis or any part of it has not been previously submitted for a degree or any other qualication at the Vienna University of Economics and Business or any other institution in Austria or abroad. Vienna, the March 6, 2015 Tanja Simon I Abstract This paper investigates the creation of a monitoring application for a Samsung Gear S wristwatch and a Samsung Galaxy S4 Mini mobile device. The emphasis is to show how both devices can be used together to inform the user about errors in Adobe Analytics to be able to intervene in a timely manner when dealing with critical values. Therefore, the external reporting application programming interface is used to get direct access to the stored Adobe Analytics data. -
Survey and Benchmarking of Machine Learning Accelerators
1 Survey and Benchmarking of Machine Learning Accelerators Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, and Jeremy Kepner MIT Lincoln Laboratory Supercomputing Center Lexington, MA, USA freuther,pmichaleas,michael.jones,vijayg,sid,[email protected] Abstract—Advances in multicore processors and accelerators components play a major role in the success or failure of an have opened the flood gates to greater exploration and application AI system. of machine learning techniques to a variety of applications. These advances, along with breakdowns of several trends including Moore’s Law, have prompted an explosion of processors and accelerators that promise even greater computational and ma- chine learning capabilities. These processors and accelerators are coming in many forms, from CPUs and GPUs to ASICs, FPGAs, and dataflow accelerators. This paper surveys the current state of these processors and accelerators that have been publicly announced with performance and power consumption numbers. The performance and power values are plotted on a scatter graph and a number of dimensions and observations from the trends on this plot are discussed and analyzed. For instance, there are interesting trends in the plot regarding power consumption, numerical precision, and inference versus training. We then select and benchmark two commercially- available low size, weight, and power (SWaP) accelerators as these processors are the most interesting for embedded and Fig. 1. Canonical AI architecture consists of sensors, data conditioning, mobile machine learning inference applications that are most algorithms, modern computing, robust AI, human-machine teaming, and users (missions). Each step is critical in developing end-to-end AI applications and applicable to the DoD and other SWaP constrained users. -
UI Design for Wearable Devices
FACULTY OF ENGINEERING UNIVERSITY OF PORTO UI Design for Wearable Devices Vitor Mota Master in Informatics and Computing Engineering Supervised by: Miguel Pimenta Monteiro (Assistant professor) Pedro Rocha (GlinttHS) January 2015 2 Abstract Smartwatches have been around for some time now (Ranger 2015), but 2015 is the year this wearable technology will finally get its boom in terms of popularity and growth. Technology giants like Apple, Google and Samsung are betting on their own-line of products such as the Apple Watch, Android Wear and Gear respectively (Apple Inc 2015a; Google Inc 2015b; SAMSUNG 2015). All of these devices are computation capable electronics with very small touch capacitive screens, limited number of hardware buttons with varying screen sizes and even shapes. Our research focused mainly on these constraints and how to successfully develop user friendly GUI’s for such small screens. The goal was to develop a model with guidelines to help developers provide easy to use and user friendly applications at a visual and interaction level to end users. To successfully achieve this, we first took a deep look at the available technology within these devices, including the framework each of the major platforms provide and the underlying hardware capabilities such as sensors like GPS, gyroscope, the use of the touch screen or microphone for user input and whether the shape of the device (round or squared) can have different effects on the design and usability. We also analyzed the impact of placement and arrangement of interface components having in mind that this technology, since it is a wearable watch, can be worn on both wrists and therefore will be used with only one hand that may obscure a different portion of the interface depending on which wrist the user uses it (Chandra and Raghunath 2000). -
2016 Comparison of Application Processor (AP) Packaging 1 Table of Contents
Application Processor for Smartphone Packaging Technology & Cost Review Advanced Packaging report by Stéphane ELISABETH November 2016 21 rue la Noue Bras de Fer 44200 NANTES - FRANCE +33 2 40 18 09 16 [email protected] www.systemplus.fr ©2016 System Plus Consulting | 2016 Comparison of Application Processor (AP) packaging 1 Table of Contents Overview / Introduction 3 Manufacturing Process Flow 73 o Executive Summary o Global Overview o AP I/O count & Footprint o Package Fabrication Unit o AP I/O count & L/S width Cost Analysis 76 o Reverse Costing Methodology o Synthesis of the cost analysis Company Profile 10 o Main Steps of Economic Analysis o Apple, Huawei, Samsung, Qualcomm o Yields Explanation & Hypotheses o Apple, Huawei, Samsung, Qualcomm AP history o Die cost 81 o Apple, Huawei, Samsung, Qualcomm Supply Chain History Front-End Cost o iPhone 7 Plus, Huawei P9, Samsung Galaxy S7 Teardown Wafer & Die Cost o PoP Packaging Technology o Package Manufacturing Cost 83 Physical Analysis 32 A10 Package Cost Breakdown o Synthesis of the Physical Analysis Kirin 955 Package Cost Breakdown o Physical Analysis Methodology Exynos 8 Package Cost Breakdown o A10, Kirin 955, Exynos 8, Snapdragon 820 Package 34 Snapdragon 820 Package Cost Breakdown Package Views & Dimensions o Component Cost 88 Wafer/Panel & Component Cost Package Opening Component Cost Breakdown Package Opening Comparison o PoP Cross-Section 47 Company services 91 Package Details Cross-Section Package Cross-Section Comparison o Die & Land-Side Decoupling Capacitor Comparison 66 Die View & Dimensions LSC Capacitor View & Dimensions LSC Capacitor Footprint Embedded LSC Capacitor Cross-Section Soldered LSC Capacitor Cross-Section o Summary of the physical Data 72 ©2016 System Plus Consulting | 2016 Comparison of Application Processor (AP) packaging 2 Executive Summary Overview / Introduction o Executive Summary • Located under the DRAM chip on the main board, the application processors (AP) are packaged using PoP o Reverse Costing Methodology technology. -
A Predictive Fingerstroke-Level Model for Smartwatch Interaction
Multimodal Technologies and Interaction Article A Predictive Fingerstroke-Level Model for Smartwatch Interaction Shiroq Al-Megren ID Information Technology Department, King Saud University, Riyadh 12371, Saudi Arabia; [email protected]; Tel.: +966-11-805-7839 Received: 24 May 2018; Accepted: 25 June 2018; Published: 2 July 2018 Abstract: The keystroke-level model (KLM) is commonly used to predict the time it will take an expert user to accomplish a task without errors when using an interactive system. The KLM was initially intended to predict interactions in conventional set-ups, i.e., mouse and keyboard interactions. However, it has since been adapted to predict interactions with smartphones, in-vehicle information systems, and natural user interfaces. The simplicity of the KLM and its extensions, along with their resource- and time-saving capabilities, has driven their adoption. In recent years, the popularity of smartwatches has grown, introducing new design challenges due to the small touch screens and bimanual interactions involved, which make current extensions to the KLM unsuitable for modelling smartwatches. Therefore, it is necessary to study these interfaces and interactions. This paper reports on three studies performed to modify the original KLM and its extensions for smartwatch interaction. First, an observational study was conducted to characterise smartwatch interactions. Second, the unit times for the observed interactions were derived through another study, in which the times required to perform the relevant physical actions were measured. Finally, a third study was carried out to validate the model for interactions with the Apple Watch and Samsung Gear S3. The results show that the new model can accurately predict the performance of smartwatch users with a percentage error of 12.07%; a value that falls below the acceptable percentage dictated by the original KLM ~21%. -
Android Vs Ios
Android vs iOS By Mohammad Daraghmeh Jack DeGonzaque AGENDA ● Android ○ History ● Samsung S6 ○ System Architecture ○ Processor ○ Performance Metrics ● iOS ○ History ● iPhone 6 ○ System Architecture ○ Processor ○ Performance Metrics ● Samsung S6 vs iPhone 6 Android Android History ● The Android OS was created mainly by three amazing people Andy Rubin, Rich Miner, Nick Sears, and Chris White. ○ Initial development for the OS was to create an operating system for digital cameras and PC integration. ○ After gauging the size of the market for such a product, Rubin and his colleagues decided to target the booming smartphone market. ● In 2005, Google also wanted to venture into the smartphone market and did so by acquiring Android Inc. ○ The primary directive was to develop technologies that are developed and distributed at a significantly lower cost to make it more accessible. ○ In 2008, the first Android running smartphone, the HTC Dream, was released. Android History (Cont.) ● The Android operating system has become one of the most popular operating systems. ○ According to research firm, called Gartner, more than a billion Android devices were sold in 2014, which is roughly five times more than Apple iOS devices sold and three times more Windows machines sold. ● Their attribute to success stems from the fact that Google does not charge for Android, and that most phone manufacturers are making cost effective phones, which results in affordable smartphones and internet services at low costs for consumers to enjoy. SAMSUNG GALAXY S6 System Architecture ● Samsung S6 uses the Exynos 7420 processor, which is developed by Samsung as well. ○ The Exynos 7420 is a 78 mm^2 SoC comprised of 8 cores connected to two L2 cache instances.