High Performance WCDMA1900 Combined LTCC/SAW/BAW Duplexer for Mobile Phones

2008 ◽  
Author(s):  
Vladyslav Gozhenko ◽  
Walter Puffer ◽  
Dietmar Ritter ◽  
Andreas Przadka
Keyword(s):  
Mobile Phones ◽  
High Performance

AUTHENTICATION OF FINGERPRINT BIOMETRICS ACQUIRED USING A CELLPHONE CAMERA: A REVIEW

2013 ◽  
Vol 11 (05) ◽  
pp. 1350033 ◽  
Author(s):  
MOHAMMED S. KHALIL ◽  
FAJRI KURNIAWAN ◽  
KASHIF SALEEM
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
High Performance ◽  
Personal Information ◽  
Current Trend ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Biometrics ◽  
Smart Mobile Phone ◽  
Smart Mobile

Over the past decade, there have been dramatic increases in the usage of mobile phones in the world. Currently available smart mobile phones are capable of storing enormous amounts of personal information/data. The smart mobile phone is also capable of connecting to other devices, with the help of different applications. Consequently, with these connections comes the requirement of security to protect personal information. Nowadays, in many applications, a biometric fingerprint recognition system has been embedded as a primary security measure. To enable a biometric fingerprint recognition system in smart mobile phones, without any additional costs, a built-in high performance camera can be utilized. The camera can capture the fingerprint image and generate biometric traits that qualify the biometric fingerprint authentication approach. However, the images acquired by a mobile phone are entirely different from the images obtained by dedicated fingerprint sensors. In this paper, we present the current trend in biometric fingerprint authentication techniques using mobile phones and explore some of the future possibilities in this field.

High performance 2.4 GHz combined LTCC/SAW filter for WLAN applications in mobile phones

2007 ◽  
Author(s):  
Borys Vorotnikov ◽  
Alexander Chernyakov ◽  
Sergiy Sakhnenko ◽  
Andriy Yatsenko ◽  
Georgiy Sevskiy ◽  
...  
Keyword(s):  
Mobile Phones ◽  
High Performance

scholarly journals NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks

2019 ◽  
Vol 13 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Chakkrit Termritthikun ◽  
Paisarn Muneesawang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Convolutional Neural Network ◽  
Mobile Devices ◽  
Mobile Phones ◽  
High Performance ◽  
Deep Neural Networks ◽  
Landmark Recognition ◽  
Research Problems ◽  
Model Size

The growth of high-performance mobile devices has resulted in more research into on-device image recognition. The research problems have been the latency and accuracy of automatic recognition, which remain as obstacles to its real-world usage. Although the recently developed deep neural networks can achieve accuracy comparable to that of a human user, some of them are still too slow. This paper describes the development of the architecture of a new convolutional neural network model, NU-LiteNet. For this, SqueezeNet was developed to reduce the model size to a degree suitable for smartphones. The model size of NU-LiteNet was therefore 2.6 times smaller than that of SqueezeNet. The model outperformed other Convolutional Neural Network (CNN) models for mobile devices (eg. SqueezeNet and MobileNet) with an accuracy of 81.15% and 69.58% on Singapore and Paris landmark datasets respectively. The shortest execution time of 0.7 seconds per image was recorded with NU-LiteNet on mobile phones.

scholarly journals Multi-Class Image Classification using CNN and Tflite

2020 ◽  
Vol 3 (11) ◽  
pp. 65-68
Author(s):  
Vishal Shah ◽  
Neha Sajnani
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Deep Learning ◽  
Image Classification ◽  
Mobile Devices ◽  
Mobile Phones ◽  
High Performance ◽  
Vital Role ◽  
The Other ◽  
Different Types

In recent years’ machine learning is playing a vital role in our everyday lifelike, it can help us to route somewhere, find something for what we aren’t aware of, or can schedule appointments in seconds. Looking at the other side of the coin besides machine learning Mobile phones are equivocating and competing in the same field. If we take an optimistic view, by applying machine learning in our mobile devices, we can make our lives better and even move society forward. Image Classification is the most common and trending topic of machine learning. Among several different types of models in deep learning, Convolutional Neural Networks (CNN’s) have intimated high performance on image classification which are made out of various handling layers to gain proficiency with the portrayals of information with numerous unique levels, are the best AI models as of late. Here, we have trained a simple CNN and completed the experiments on the dataset called Fashion Mnist and Flower Recognition, and also analyzed the techniques of integrating the trained model in the Android platform.

Nokia Mobile Phones' Development of Business Logistics and Customer Support

2011 ◽  
pp. 249-257 ◽  
Author(s):  
Markku Rajaniemi
Keyword(s):  
Supply Chain ◽  
Mobile Phones ◽  
High Performance ◽  
Lessons Learned ◽  
Operational Mode ◽  
Strategic Development ◽  
Customer Support ◽  
Business Operations ◽  
Global Logistics ◽  
Logistic Support

The key to high performance in global logistics is stepwise improvement of business operational mode and corresponding logistics processes. Nokia Mobile Phones formulated strategic steps and their implementation approach and has carried those out as a shared business program. Systematic development of logistics of internal business operations and collaboration with the supply chain members has supported the company in reaching its current market leader position in the mobile phones business. This chapter tells how the logistics and customer logistic support were developed in the mobile phones business of Nokia Corporation during last 10 years. The chapter presents a development path in chronological order to illustrate the change in logistics intent, depth of needed operational transformation and technical possibilities. Both the company internal logistics operations and the work for collaboration in synchronized supply chain are described with some lessons learned on this effort. The development roadmap is told in two main steps, which are referred to below as implementation of strategies of transparency and orchestration. Those were also the internal themes of strategic development of logistics.

scholarly journals Implementation of Embedded System based High Performance Protective System in Vehicles

2019 ◽  
Vol 8 (4S2) ◽  
pp. 344-347
Keyword(s):  
Embedded System ◽  
Mobile Phone ◽  
Mobile Phones ◽  
High Performance ◽  
Developing Nations ◽  
Driving System ◽  
Nations People ◽  
The People ◽  
Protective System ◽  
Rapid Pace

In the modern developed and developing nations people who are using mobile phones have increased at a rapid pace, the people are addicted to them so much they are not even able to ride their vehicle without using their mobile phones. This act of negligence has risen to an extent to cost their lives. Many researches have been conducted to determine the concentration of a person when he is driving his vehicle with and without using their mobile phones. The results were as expected; people tend to lose their concentration when they are using their mobile while driving. In this paper we have come out with a method by which we can reduce the accidents occurring to the people using their mobile phone while driving. The high-performance safety driving system inhibits further acceleration and slows down the vehicle automatically eventually coming to rest. This system involves an addition of sensor to the mobile and a control to the vehicle.

A High Performance Energy Analyzer for Use in Electron Scanning Microscopy

1969 ◽  
Vol 27 ◽  
pp. 14-15
Author(s):  
A. V. Crewe ◽  
M. Isaacson ◽  
D. Johnson
Keyword(s):  
High Performance ◽  
Vertical Plane ◽  
Median Plane ◽  
Electron Gun ◽  
Uniform Field ◽  
Loss Mechanism ◽  
Electron Scanning Microscopy ◽  
Sector Type ◽  
Double Focusing ◽  
Electron Energy Loss

A double focusing magnetic spectrometer has been constructed for use with a field emission electron gun scanning microscope in order to study the electron energy loss mechanism in thin specimens. It is of the uniform field sector type with curved pole pieces. The shape of the pole pieces is determined by requiring that all particles be focused to a point at the image slit (point 1). The resultant shape gives perfect focusing in the median plane (Fig. 1) and first order focusing in the vertical plane (Fig. 2).

Vacuum System to Minimize the Specimen Contamination of High-Performance EM

1977 ◽  
Vol 35 ◽  
pp. 68-69
Author(s):  
N. Yoshimura ◽  
K. Shirota ◽  
T. Etoh
Keyword(s):  
Electron Microscope ◽  
High Speed ◽  
High Performance ◽  
High Vacuum ◽  
Vacuum System ◽  
Pump System ◽  
Pumping System ◽  
Diffusion Pump ◽  
Almost All ◽  
Cascade Type

One of the most important requirements for a high-performance EM, especially an analytical EM using a fine beam probe, is to prevent specimen contamination by providing a clean high vacuum in the vicinity of the specimen. However, in almost all commercial EMs, the pressure in the vicinity of the specimen under observation is usually more than ten times higher than the pressure measured at the punping line. The EM column inevitably requires the use of greased Viton O-rings for fine movement, and specimens and films need to be exchanged frequently and several attachments may also be exchanged. For these reasons, a high speed pumping system, as well as a clean vacuum system, is now required. A newly developed electron microscope, the JEM-100CX features clean high vacuum in the vicinity of the specimen, realized by the use of a CASCADE type diffusion pump system which has been essentially improved over its predeces- sorD employed on the JEM-100C.

Use of the Magnetostatic Analogue In Electromagnetic Lens Engineering

1970 ◽  
Vol 28 ◽  
pp. 360-361
Author(s):  
John W. Coleman
Keyword(s):  
Boundary Conditions ◽  
High Performance ◽  
Force Fields ◽  
Optical Design ◽  
Direct Conversion ◽  
Design Engineering ◽  
Design Data ◽  
Scalar Potentials ◽  
Geometric Elements ◽  
At Will

In the design engineering of high performance electromagnetic lenses, the direct conversion of electron optical design data into drawings for reliable hardware is oftentimes difficult, especially in terms of how to mount parts to each other, how to tolerance dimensions, and how to specify finishes. An answer to this is in the use of magnetostatic analytics, corresponding to boundary conditions for the optical design. With such models, the magnetostatic force on a test pole along the axis may be examined, and in this way one may obtain priority listings for holding dimensions, relieving stresses, etc..The development of magnetostatic models most easily proceeds from the derivation of scalar potentials of separate geometric elements. These potentials can then be conbined at will because of the superposition characteristic of conservative force fields.

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