scholarly journals Performance analysis of mobile applications developed with different programming tools

2019 ◽  
Vol 252 ◽  
pp. 05022
Author(s):  
Jakub Smołka ◽  
Bartłomiej Matacz ◽  
Edyta Łukasik ◽  
Maria Skublewska-Paszkowska
Keyword(s):  
Performance Analysis ◽  
Mobile Applications ◽  
Access Time ◽  
Preparation Time ◽  
Image Conversion ◽  
Entire List ◽  
Programming Tools ◽  
Android System ◽  
Overall Performance ◽  
Music File

This study examines the efficiency of certain software tasks in applications developed using three frameworks for the Android system: Android SDK, Qt and AppInventor. The results obtained using the Android SDK provided the benchmark for comparison with other frameworks. Three test applications were implemented. Each of them had the same functionality. Performance in the following aspects was tested: sorting a list of items using recursion by means of the Quicksort algorithm, access time to a location from a GPS sensor, duration time for reading the entire list of phone contacts, saving large and small files, reading large and small files, image conversion to greyscale, playback time of a music file, including the preparation time. The results of the Android SDK are good. Unexpectedly, it is not the fastest tool, but the time for performing most operations can be considered satisfactory. The Qt framework is overall about 34% faster than the Android SDK. The worst in terms of overall performance is the AppInventor: it is, on average, over 626 times slower than Android SDK.

scholarly journals Comparative analysis of Kotlin and Java languages used to create applications for the Android system

2019 ◽  
Vol 13 ◽  
pp. 354-358
Author(s):  
Daniel Sulowski ◽  
Grzegorz Kozieł
Keyword(s):  
Comparative Analysis ◽  
Programming Languages ◽  
Mobile Applications ◽  
Community Support ◽  
Code Structure ◽  
Android System ◽  
Execution Times

This publication presents the results of a comparative analysis of Java and Kotlin programming languages used to create mobile applications for system Android. The analysis covers performance aspects such as CPU load, RAM load, as well as the compilation and execution times. Aspects such as code structure, availability of libraries, supported databases, popularity and community support were taken under consolidation.

Voice Driven Emotion Recognizer Mobile Phone

2010 ◽  
pp. 144-159
Author(s):  
Abdul Razak Aishah ◽  
Izani Zainal Abidin Mohamad ◽  
Ryoichi Komiya
Keyword(s):  
Facial Expression ◽  
Mobile Phone ◽  
Personal Computer ◽  
Mobile Applications ◽  
Image Database ◽  
Video Communication ◽  
Image Converter ◽  
Image Conversion ◽  
The Voice ◽  
Conversion Scheme

This article proposes an application of emotion recognizer system in telecommunications entitled voice driven emotion recognizer mobile phone (VDERM). The design implements a voice-to-image conversion scheme through a voice-to-image converter that extracts emotion features in the voice, recognizes them, and selects the corresponding facial expression images from image bank. Since it only requires audio transmission, it can support video communication at a much lower bit rate than the conventional videophone. The first prototype of VDERM system has been implemented into a personal computer. The coder, voice-to-image converter, image database, and system interface are preinstalled in the personal computer. In this article, we present and discuss some evaluations that have been conducted in supporting this proposed prototype. The results have shown that both voice and image are important for people to correctly recognize emotion in telecommunications and the proposed solution can provide an alternative to videophone systems. The future works list some modifications that can be done to the proposed prototype in order to make it more practical for mobile applications.

scholarly journals Analysis of Adiabatic Hybrid Full Adder and 32-Bit Adders for Portable Mobile Applications

2020 ◽  
Vol 14 (05) ◽  
pp. 73 ◽  
Author(s):  
T. Suguna ◽  
M. Janaki Rani
Keyword(s):  
Mobile Applications ◽  
Supply Voltage ◽  
Full Adder ◽  
Vlsi Circuits ◽  
Switching Activity ◽  
Ripple Carry Adder ◽  
Adiabatic Logic ◽  
Overall Performance ◽  
Power Delay Product ◽  
Research Domain

In VLSI, power optimization is the main criteria for all the portable mobile applications and developments because of its impact on system performance. The performance of an adder has significant impact on overall performance of a digital system. Adiabatic logic (AL), a new emerging research domain for optimizing the power in VLSI circuits with high switching activity is discussed, in this paper, for implementing the adder circuits. Various adiabatic logic styles full adder designs are reviewed and multiplexer based hybrid full adder topology is designed and implemented with ECRL and 2PASCL AL styles. Moreover in this paper, 32 bit adders such as Ripple Carry Adder (RCA), Carry Select Adder (CSLA), Carry Save Adder (CSA), Carry Skip Adder (CSKA) and Brent Kung Adder (BKA) are realised using proposed ECRL and 2PASCL adiabatic full adders. All the adders are implemented and simulated using TANNER EDA tool 22nm technology, parameters like power, area, delay and power delay product (PDP) of all the adders are observed at different operating frequencies, with supply voltage of 0.95 v and load capacitance of 0.5 pF. The observed parameters are compared with the existing adiabatic full adder designs and concluded that the proposed adiabatic full adders have the advantages of less power, delay and transistor count. In conclusion ECRL full adder is 31% faster, has equal PDP and less area than 2PASCL full adder. At 1000MHz ECRL 32 bit carry save adder is having less delay among all the 32 bit adder and 65% less PDP than 2PASCL adder and it is concluded that ECRL 32 bit carry save adder can be selected for implementation of circuits that can be used in portable mobile applications.

Voice Driven Emotion Recognizer Mobile Phone

2009 ◽  
pp. 3511-3528
Author(s):  
Aishah Abdul Razak ◽  
Mohamad Izani Zainal Abidin ◽  
Ryoichi Komiya
Keyword(s):  
Facial Expression ◽  
Mobile Phone ◽  
Personal Computer ◽  
Mobile Applications ◽  
Image Database ◽  
Video Communication ◽  
Image Converter ◽  
Image Conversion ◽  
The Voice ◽  
Conversion Scheme

This article proposes an application of emotion recognizer system in telecommunications entitled voice driven emotion recognizer mobile phone (VDERM). The design implements a voice-to-image conversion scheme through a voice-to-image converter that extracts emotion features in the voice; recognizes them; and selects the corresponding facial expression images from image bank. Since it only requires audio transmission; it can support video communication at a much lower bit rate than the conventional videophone. The first prototype of VDERM system has been implemented into a personal computer. The coder; voice-to-image converter; image database; and system interface are preinstalled in the personal computer. In this article; we present and discuss some evaluations that have been conducted in supporting this proposed prototype. The results have shown that both voice and image are important for people to correctly recognize emotion in telecommunications and the proposed solution can provide an alternative to videophone systems. The future works list some modifications that can be done to the proposed prototype in order to make it more practical for mobile applications.

scholarly journals On the Comparative Performance Analysis of PAPR Reduction Techniques in OFDM System

2015 ◽  
Vol 43 ◽  
pp. 39-49
Author(s):  
Md. Ibrahim Khalil ◽  
Sabbir Ahmed
Keyword(s):  
Performance Analysis ◽  
Orthogonal Frequency Division Multiplexing ◽  
Average Power ◽  
Papr Reduction ◽  
Hadamard Transform ◽  
Ofdm Systems ◽  
Comparative Performance ◽  
Computational Overhead ◽  
Reduction Techniques ◽  
Overall Performance

Selected Mapping (SLM) and Partial Transmit Sequence (PTS) are two very well-known Peak-to-average Power Ratio (PAPR) reduction techniques for Orthogonal Frequency Division Multiplexing (OFDM) systems. Both these schemes show good PAPR reduction capabilities. However, for any PAPR reduction technique, the nature of spectral occupancy and the associated computational complexity also need to be taken into account when the overall performance is considered. In this paper, our goal is to perform a comparative performance analysis of SLM and PTS techniques by considering these three parameters, i.e. PAPR reduction, computational overhead and spectral compactness. For this, we at first look for the optimum values in terms of number of sequences in SLM and no. of sub-blocks in PTS. And then based on this finding, we perform performance analysis. Our finding shows that, PTS outperforms SLM when compared on the parameters mentioned above. Finally, to explore the feasibility of further improvement, we apply Walsh-Hadamard Transform to PTS scheme and show that it further reduces PAPR and improves spectral compactness.

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