Search Results - (( java implementation phase algorithm ) OR ( basic interaction within algorithm ))

Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

“…All the algorithm for the engine has been developed by using Java script language. …”
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A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

“…"Motion gesture is one of the gesture recognition algorithms which provide touchless interaction within a system. …”
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HRI for interactive humanoid head Amir-II for visual tracking and servoing of human face. by Iqbal, Aseef, A Shafie, Amir, Khan, Md. Raisuddin, Alias, Mohd Farid, Radhi, Jamil

“…The algorithm basically compares the locations of the face in the image plane that is detected from the static face image captured from real-time video stream. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar by Tengku Jaafar, Tengku Salman Fathi

“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri by Muhamad Shukri, Muhamad Nur Adhwa

“…The application has been developed in Python as an in-game application that automatically recognize six basic human emotions, which are anger, disgust, happiness, surprise, fear, and sadness in real time video within a computer game and show the percentage of the emotions at end of the computer game session. …”
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Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.] by Che Abdullah, Sukarnur, Amari, Mohamad Dzulhelmy, Mat Jusoh, Mohammad Azzeim, Amirudin, Irfan Syahmi Rusyaidi, Zainalabidin, Ashraf

“…The algorithm's efficacy was validated through its application to a basic material handling process, specifically a barcode sorting conveyor. …”
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User to user topic recommendation model for student social interaction by Ahmad Subhi, Zolkafly

“…Then, a newly developed algorithm called the Social Recommendation (SAR) algorithm ranked and recommended the best topic for social interaction. …”
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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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Mobile application for sign language learning with real time feedback by Lee, Xiao Xu Alexis

“…The app aims to deliver courses methodically from basic vocabulary to advanced grammar, diverse learning materials like video demonstrations, quizzes and exercises. …”
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Instance matching framework for heterogeneous semantic web content over linked data environment by Mansir, Abubakar

“…The output of each algorithm is evaluated, the results have shown that each algorithm performs well and outperforms the existing algorithms on all test cases in terms better output generation and effective handling of heterogeneity from different domains, which is a necessary concern in all data-intensive problems. …”
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A study on ambulance response time in Kuala Lumpur, Malaysia by Sujak, Ahmad Fadzil

“…The call taker would interact with the caller to gather critical medical information through an algorithmic set of questions as depicted in Emergency dispatch form and would manually filled up the form. …”
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Investigating computational thinking among primary school students in Terengganu using visual programming by Osmanullrazi, Abdullah

“…Quantitative approach was used to measure student’s CT skills of Flow Control, Abstraction, Parallelism, Decomposition, Synchronization, User Interactivity and Logic from their computational artifacts. …”
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