Kajian Tentang Aplikasi Augmented Reality Berbasis Marker

In this paper, marker detection and pose estimation algorithms are presented for Augmented Reality applications. This marker detection algorithm was designed specially for square-shaped marker. It consists of line detection, corner detection, and square-shaped detection. The pose estimation algorithm is used involving intrinsic and ecstrinsic paramater of camera. The position of a marker can be known from the ectrinsic parameter of camera which is translation and rotation. Translation and rotation ocurr in three coordinate axes, which is x,y,and z.The translation value can be obtained from the midpoint of the marker, and the rotation value can be calculated with rotation matrix. Several experiments have been conducted on various images and video sequences. The results of the experiments show that the algorithms can detect marker in various angles and estimate the pose well that the user of the application can interact with the object from digital world

Sistem Pakar Diagnosis Penyakit Telinga Hidung Dan Tenggorok

Expert system is a system that is trying to adopt human knowledge into a computer, so that the computer can resolve the issue like done by experts. System design expert for disease diagnosis ear, nose and throat with the utilization of the basis knowledge on file in database. Expert systems to diagnose diseases of ear, nose and throat using Forward Chaning methods and Generate and Test Algorithms which aims to carry out a search about indications in order to diagnose type of disease. Forward Chaining using Certainty Factor to calculate the level of certainty of the disease diagnose.Generate and Test Algorithm to do a searching for indication in the form of question. The system will provide questions to be answered. Data that is recognizable will adjust the rules to matched then be calculated using Certainty Factor and gives weight of the resulting answers to diseases diagnose

Studi Kasus Sistem Pakar Untuk Mendiagnosa Penyakit Pernapasan

In coping with a disease usually go to the doctor or to a health clinic to get the healing, especially respiratory diseases. Because so many respiratory diseases and symptoms, so an expert or a doctor needs to examine more deeply the symptoms experienced by patients to be able determine the illness. Therefore made respiratory expert system using Dempster Shafer and Naïve Bayes Classifier. In the research, the results of testing both methods are respectively 90% in Dempster-Shafer method and 94,28% in Naïve Bayes Classifier method

Kajian Tentang Aplikasi Augmented Reality Dengan Deteksi Telapak Tangan

In this application, performed in real time by using a camera to detect hand so it can are added a 3-dimensional object. Stages in this application is the first to capture the image of hand on the camera and then converted into YCbCr image to facilitate detection of hand. Then the image of YCbCr classified in the form of hand and not a hand with a change to binary image according to the range of values Cb and Cr. After that, the image thinning using the method thinning zhang zuen. Image thinning, will recognize hand area by looking for the top, left, right and bottom hand detected. After that, will be calculated translational hand detected from a central point and determine the rotation, so that the object can be added above hand. Based on the test results can be detected with a good hand if a bright light on hand and object are added doesn't match the rotation of hand because it can't recognize the fingers