Search Results - (( unique detection system algorithm ) OR ( java application using algorithm ))

Enhancing counterfeit tag detection for RFID system using slotted aloha by Musa, Yusuf

“…The collision verification was introduced at the first stage to increase the status of single slots which gives the system the ability to uniquely detect each tag without arbitration. …”
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Feature-based face recognition system using utilized artificial neural network by Chai, Tong Yuen

“…A proposed algorithm which combines RGB color map and corner detection techniques will detect the mouth corners. …”
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RSA Encryption & Decryption using JAVA by Ramli, Marliyana

“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

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Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

“…The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. …”
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Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin by Jamaluddin, Khairul Rohaizzat

“…The system utilized a combination of algorithms such as the Viola-Jones algorithm and SURF for facial structures and features detection. …”
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Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions by Hajighorbani, Shahrooz

“…However, the non-linear relation between current and voltage for the PV system is a challengeable issue that results in a unique MPP for its power-voltage (P-V) curve. …”
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Passive forward scattering radar using digital video broadcasting satellite signal for drone detection by Raja Abdullah, Raja Syamsul Azmir, Musa, Surajo Alhaji, Abdul Rashid, Nur Emileen, Sali, Aduwati, Ahmad Salah, Asem, Ismail, Alyani

“…Therefore, this paper proposes a unique method by leveraging the advantage of forward-scattering radar (FSR) topology and characteristics to detect a drone; in other words, the system is known as a passive FSR (p-FSR) system. …”
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Pengesanan minutiae imej cap jari berskala kelabu menggunakan algoritma susuran batas by Sulong, Siti Masrina

“…Most Automatic Fingerprint Identification Systems (AFIS) are based on minutiae matching due to its uniqueness. …”
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Detection of Counterfeit Telecommunication Products using Luhn Checksum Algorithm and an Adapted IMEI Authentication Method by Amusa, Morufu, Bamidele, Oluwade

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Forgery detection in medical images using Complex Valued Neural Network (CVNN) by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M., Aburas, Abdurazzag Ali

“…Results indicate that watermarked mammogram were perceptually indistinguishable from the host mammogram, hence the application of the developed CVNN-based watermarking technique in medical images can improve correct diagnoses. Ability of the algorithm to localize modification undergone makes it a unique and efficient algorithm for authentication and tamper detection as well as blind detection applications.…”
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Crypt Edge Detection Using PSO,Label Matrix And BI-Cubic Interpolation For Better Iris Recognition(PSOLB) by Hashim, Nurul Akmal

“…Recently,there has been renewed interest in iris features detection.Gabor filter,cross entrophy, upport vector,and canny edge detection are methods which produce iris codes in binary codes representation.However,problems have occurred in iris recognition since low quality iris images are created due to blurriness,indoor or outdoor settings, and camera specifications.Failure was detected in 21% of the intra-class comparisons cases which were taken between intervals of three and six months intervals.However,the mismatch or False Rejection Rate (FRR) in iris recognition is still alarmingly high.Higher FRR also causes the value of Equal Error Rate (EER) to be high.The main reason for high values of FRR and EER is that there are changes in the iris due to the amount of light entering into the iris that changes the size of the unique features in the iris.One of the solutions to this problem is by finding any technique or algorithm to automatically detect the unique features.Therefore a new model is introduced which is called Crypt Edge Detection which combines PSO,Label Matrix,and Bi-Cubic Interpolation for Iris Recognition (PSOLB) to solve the problem of detection in iris features.In this research, the unique feature known as crypts has been chosen due to its accessibility and sustainability.Feature detection is performed using particle swarm optimisation (PSO) as an algorithm to select the best iris texture among the unique iris features by finding the pixel values according to the range of selected features.Meanwhile, label matrix will detect the edge of the crypt and the bi-cubic interpolation technique creates sharp and refined crypt images.In order to evaluate the proposed approach,FAR and FRR are measured using Chinese Academy of Sciences' Institute of Automation (CASIA) database for high quality images.For CASIA version 3 image databases, the crypt feature shows that the result of FRR is 21.83% and FAR is 78.17%.The finding from the experiment indicates that by using the PSOLB,the intersection between FAR and FRR produces the Equal Error Rate (EER) with 0.28%,which indicated that equal error rate is lower than previous value, which is 0.38%.Thus,there are advantages from using PSOLB as it has the ability to adapt with unique iris features and use information in iris template features to determine the user.The outcome of this new approach is to reduce the EER rates since lower EER rates can produce accurate detection of unique features.In conclusion,the contribution of PSOLB brings an innovation to the extraction process in the biometric technology and is beneficial to the communities.…”
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AUTONOMOUS MOBILE ROBOT VISION BASED SYSTEM: HUMAN DETECTION BY COLOR by Mohd Shah, Hairol Nizam, Ab Rashid, Mohd Zamzuri, Mohd Sobran, Nur Maisarah

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Unveiling sarcastic intent: web-based detection of sarcasm in news / Mohd Nazzim Lahaji, Tajul Rosli Razak and Mohammad Hafiz Ismail by Lahaji, Mohd Nazzim, Razak, Tajul Rosli, Ismail, Mohammad Hafiz

“…This study uses machine learning techniques to introduce a novel web-based sarcasm detection system tailored explicitly for news headlines. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor by Nizam, Yoosuf, Haji Mohd, Mohd Norzali, Abdul Jamil, M. Mahadi

“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. The experimental results showed promising performance in adapting the algorithm for people with different fall risk levels for fall detection.…”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor by Nizam, Yoosuf, Haji Mohd, Mohd Norzali, Abdul Jamil, Muhammad Mahadi

“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. The experimental results showed promising performance in adapting the algorithm for people with different fall risk levels for fall detection.…”
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Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

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Video surveillance: explosion detection by Lee, Shao Yuan

“…Thus, this research focusses on developing an intelligent explosion detection surveillance system that is capable of early and accurate explosion detection. …”
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