Search Results - (( phone application _ algorithm ) OR ( its application testing algorithm ))*

Text spam messages classification using Artificial Immune System (AIS) algorithms by Nurul Fadhilah Sulaiman

ChoCD : Usable and secure graphical password authentication scheme by Radhi Rafiee Bin Afandi

Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

“…Then, a Machine Learning Algorithm (MLA) is used to train and test the data before a classifier is used to classify the new incoming dataset. …”
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A novel peer-to-peer SMS security solution using a hybrid technique of NTRU and AES-Rijndael by Al-Bakri, S.H., Mat Kiah, M.L.

“…The developed application is tested on real equipment such as a Nokia N70. …”
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AUTO-MANAGE PARKING SYSTEM (AMPS) by KHAIRUDDIN, MUHAMMAD AMIRUL SYAFIQ

“…The system able to recognize characters on number plate by using Automatic Number Plate Recognition (ANPR) technology which implement optical character recognition (OCR) algorithm to process the characters from images. User then able to pay parking fees by using mobile phone through android application linked with user’s number plate. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…This application can be installing into the mobile phone.…”
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Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

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Detecting emotions and depression through voice by Gunawan, Teddy Surya

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Security system using biometric technology: Design and implementation of voice recognition system (VRS) by A. Rashid, Rozeha, Mahalin, Nur Hija, Sarijari, Mohd. Adib, Abdul Aziz, Ahmad Aizuddin

“…The technology lends itself well to a variety of uses and applications, including security access control for cell phones (to eliminate cell phone fraud), ATM manufacturers (to eliminate pin # fraud) and automobile manufacturers (to dramatically reduce theft and carjacking). …”
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Monitoring cathodic protection system for underground pipeline by Thai, Seng Choong

“…As the world is emerging into mobile technology, an innovative plan was made to combine traditional monitoring system into smart phones mobile application. An electronic prototype were designed, fabricated and tested to monitor the pipelines drain point voltage, transformer rectifier voltage, shunt current, humidity and temperature using a local server system whereby all the data collected are stored on a local storage before synchronizing to the internet’s web server database using the cloud system. …”
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A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition by Ayu, Media Anugerah, Ismail, Siti Aisyah, Abdul Matin, Ahmad Faridi, Mantoro, Teddy

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Design and implementation of a deep learning based hand gesture recognition system for Rehabilitation Internet-Of-Things (RIOT) environments using MediaPipe by Mohd Dhuzuki, Nurul Hanis, Zainuddin, Ahmad Anwar, Kamarul Zaman, Nur Anis Sofea, Ahmad Razmi, Alin Nur Maisarah, Kaitane, Wonderful Shammah, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina, Mohd Nordin, Nor Azlin, Sidek, Shahrul Naim, Mohd Zaki, Hasan Firdaus

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An automated approach to elicit and validate security requirements of mobile application by Yusop, Noorrezam

“…Mobile phone usage has continued to rise,and it is becoming more convenient for users to use mobile applications for booking hotels,conducting online transaction and online payment.In this case,secured applications are required to increase the confidence among mobile users.In order to achieve correct secure application,a correct security requirements needs to be elicited and defined.Additionally,it is also crucial for security requirements of mobile apps to fulfill basic quality attributes such as correct,consistent and complete (3Cs).However,few problems are found in eliciting security requirements for mobile apps.Firstly, most requirements engineers (RE) are identified to have less knowledge and understanding of security requirements attributes,leading to the failure of implementing the 3Cs of security requirements.Secondly,most of the elicitation and the validation of security requirements are conducted at the later stage of the development and leads to poor quality security requirements implementation which might resulted to project failure.Motivated from these problems,the objectives of this thesis are three-folds; 1) To analyze the security requirements for mobile apps, 2) To propose an approach to elicit and end-to-end validation of security requirement,and 3)To evaluate the efficacy in term of correctness and performance as well as usability of the approach.This thesis proposes a new automated approach to assist the elicitation and validation of security requirements.Here an automated tool support called MobiMEReq is also developed.For this, we have adopted Test Driven Development (TDD) methodology with semi-formalized models:i) Essential Use Cases (EUCs) and ii) Essential User Interface (EUI).We then divided our approach into two parts:1)Elicitation and 2)End-to-end validation security requirements.Further,we have developed pattern libraries to assist on the correct elicitation and validation.They are mobile Security attributes pattern library and mobile security pattern library.Then,we have constructed a new algorithm using fuzzy logic to assist on the prioritization of the test for better performance of validation.Finally,a comprehensive evaluation of the approach,comprising experiments of correctness test and usability test were conducted.Here,we have also evaluated the feedback from the industry experts especially on the usability of the automated approach and tool support.In summary,the findings of the evaluations show that our approach is able to contribute to the body of knowledge of mobile security requirements engineering especially in enhancing the performance and correctness level of security attribute elicitation and its usability for end-to-end elicitation and validation.It is found that the approach able to enhance the correctness level of the elicited security attribute compared to the manual approach,and produce correct generation of test.Then,the results of the usability test by the novice and experts show that the approach is useful in eliciting and validating security requirements at the early stage of application development and is able to ease the elicitation and validation process of security requirements of mobile apps.…”
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Qualitative analysis on watermarking algorithm for large resolution camera phone image by Saquib, Nazmus, Gunawan, Teddy Surya, Olanrewaju, Rashidah Funke, Islam, Shayla, Hasan, Mohammad Kamrul

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Optimization of ANPR algorithm on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

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The child tracker using location awareness / Muhammad Idham Amdan by Amdan, Muhammad Idham

“…In this paper, the aim of proposed conceptual smartphone tracker framework is to provide mobile phone security and to locate ability of device in form of mobile application.…”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…As many human currently depend on technologies to assist with daily tasks, there are more and more applications which have been developed to be fit in one small gadget such as smart phone and tablet. …”
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Development of mobile robot controlled by android phone via Bluetooth by Wan Idris Najaran, Wan Nur 'Amirah

“…An open sourced application called Blue Control is downloaded into the android smart phone to enable the communication between both the android phone and the robot. …”
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Development of mobile robot controlled by android phone via Bluetooth: article by Wan Idris Najaran, Wan Nur 'Amirah

“…An open sourced application called Blue Control is downloaded into the android smart phone to enable the communication between both the android phone and the robot. …”
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