Search Results - (( java segmentation using algorithm ) OR ( basic verification _ algorithm ))

Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

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Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching by Ei Wei., Ting, M. Z., Ibrahim, D.J., Mulvaney

“…The result shows that PCA can improve the accuracy of the verification system by reduce the data down into its basic component without much loss of the information…”
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Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance by Nor Azlan, Nor Asmaa Alyaa

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CSC510: Discrete Structures / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics And Media

“…This course discusses the basic tools of mathematics and logic to provide the logical foundation underlying the design and analysis of algorithms for problems solving in computer science. …”
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Speech emotion verification system (SEVS) based on MFCC for real time applications by Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab

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A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems by Paniandi, Arul

“…The designed RSA coprocessor core is actually a modular exponentiation hardware engine, which is the basic arithmetic operation in implementing a RSA public key encryption and decryption algorithm. …”
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Human Spontaneous Emotion Detection System by Radin Monawir, Radin Puteri Hazimah

“…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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Bundle Sorting Mobile Application by Zulkifley, Muhammad Dzofir Hafiz

“…It also helps the verification of the number of garments in every department in the production line. …”
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AUTO-MANAGE PARKING SYSTEM (AMPS) by KHAIRUDDIN, MUHAMMAD AMIRUL SYAFIQ

“…For functionality, the system only able to serve its basic function and it still need few improvements. …”
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Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

“…For classification, k-Nearest Neighbours (kNN) with Euclidean distance algorithm is implemented. An enhancement version for kNN algorithm, k-General Nearest Neighbours (kGNN) have been proposed at initial stage. …”
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Comparison of Landsat 8, Sentinel-2 and spectral indices combinations for Google Earth Engine-based land use mapping in the Johor River Basin, Malaysia by Ju, Zeng, Tan, Mou Leong, Narimah Samat, Chang, Chun Kiat

“…The Random Forest (RF) algorithm was used to classify the land use land cover (LULC) with 222 training samples and 78 verification samples obtained through the Google Earth Pro higher resolution satellite images and field samplings. …”
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Bottleneck-based heuristic for permutation flowshop scheduling by Isa, Noor Amira

“…The heuristic evaluation result showed that the BNB heuristic is performing better than the NEH at bottleneck machines M1, M3 and M4. While, heuristic verification result showed that the bottleneck algorithms performed the best in minimizing the makespan for set of problems with bottleneck machine M4. …”
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A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive by ARROFIQ, MUHAMMAD

“…A simulation model in MA TLAB/Simulink is developed using system identification technique to perform verification of the PLCbased intelligent controller of the PWM-driven VVVF algorithm. …”
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Development and Application of a Finite Element Distributed Rainfall Runoff Simulation Model by Huang, Yuk Feng

“…The system of nonlinear equations was solved using successive substitutions employing Thomas algorithm and Gaussian elimination. The whole formulation was set up using the MapBasic and Map Info Geographical Information System. …”
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Digital forensic investigation reduction model (DIFReM) for Windows 10 OS by Shayau, Yazid Haruna

“…“digital data that may be of evidential value” for use in court. The six basic steps defined by Digital Forensics Research Workshop (DFRWS) and generally followed in the forensic investigation are Identification, Preservation, Collection, Examination, Analysis and Presentation. …”
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