213 research outputs found
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SKIN SEGMENTATION AND SKULL SEGMENTATION FOR MEDICAL IMAGING
Get PDFIn this paper aims we present tools for medical imaging applications to do skin and skull segmentation in a short time. The desired output for skin segmentation is a 3D visualization of the facial skin without any cavities or holes inside the head, while skull segmentation aims to create a 3D visualization of the skull bones. The algorithm used for skin segmentation is thresholding the image, extracting the largest connected component, and holefilling to fill the unnecessary holes. As for the skull segmentation, the process is done by removing the spines which is connected to the skull, and then extracting the largest connected component. Afterwards, mesh generation is done to produce the 3D objects from the processed images. This mesh generation process is done using the marching cubes algorithm. The testing results show that the skin and skull segmentation process will work well when there are no other objects that are connected to the skin or the skull. Skin segmentation process takes a significant amount of time, primarily caused by the holefilling process
SISTEM DETEKSI WAJAH PADA OPEN SOURCE PHYSICAL COMPUTING
Get PDFFace detection is one of the interesting research area. Majority of this research implemented on a computer. Development of face detection on a computer requires a significant investment costs. In addition to having to spend the cost of procurement of computers, is also required for operational cost such as electricity use, because the computer requires large power/watt.This research is proposed to build a face detection system using Arduino. The system will be autonomous, in other word the role of computer will be replaced by Arduino. Arduino is used is Arduino Mega 2560 with specifications microcontroller AT MEGA 2560, a speed of 16 MHz, 256 KB flash memory, 8 KB SRAM, 4 KB EEPROM. So not all face detection algorithm can be implemented on the Arduino. The limitations of memory owned by the arduino will be resolved by applying the method of template matching using the facial features in the form of a template that is shaped like a mask. Detection rate achieved in this study is 80% - 100%. Where, in the Arduino's success in identifying the face are influenced by the distance between the camera with the human face and human movement
INTERPRETASI E-LEARNING SEBAGAI SUPPORT MEDIA UNTUK PEMBELAJARAN BAHASA MANDARIN BAGI SISWA SEKOLAH DASAR
Get PDFNowadays, many schools are teaching the Chinese Language as curriculum, including elementary school. While the major problems in Chinese language learning is a form of pronunciation or intonation that much different from the Indonesia language who does not pay attention to the tone. In the Chinese language curriculum students are expected to be able to listen, to pronounce, to read and to write. Furthermore, learning arithmetic subject in Chinese language is quite difficult, because besides being able to pronounce the numbers correctly, the student should be able to count it. Hence the limitations of print media is not able to accommodate learning in listening, especially pronunciation or intonation correctly and also the writing. This led to the emergence of the spatian contiguity between text books with information on what is perceived by the learner. This study attempts to bridge these limitations by accommodating a media in web-based learning that also train the ability to listen and write, so that the spatial distance between the information in the book with a learner can be reduced . The results of this study are expected to provide a new alternative as a model for Chinese language learning, especially in Indonesia
PREDIKSI CUACA MENGGUNAKAN METODE CASE BASED REASONING DAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM
Get PDFWeather is one of the nature elements that can influence decision making in human's life. Based on that issue, the author wants to make an application that is able to predict weather with good accuracy. The application is a weather forecasting system, using computer technology that implements expert system. The methods used are Adaptive Neuro Fuzzy Inference System (ANFIS) and Case Based Reasoning (CBR), and a combination of both methods will applied to the system. The system also has learning methods like Backpropagation Error (BPE) and Recursive Least Error (RLSE), to increase its accuracy. Clustering and data cleaning also done inside the system, as it needed by forecasting process to achieve a good result. K-Means is the clustering algorithm, while Box and Whisker Plot is the algorithm for data cleaning. The result from this project is to create a weather forecasting system with high accuracy
DATA MODEL CUSTOMIZATION FOR YII BASED ERP APPLICATION
Get PDFAs UD. Logam Utama’s business grow, trigger the need of fast and accurate information in order to improve performance, efficiency, control and company’s values. The company needs a system that can integrate each functional area. ERP has centralized database and able to be configured, according to company’s business processes.First phase of application development is analysis and design the company’s business processes. The design phase produce a number of models that will be used to created application.The final result of application development is an ERP application that can be configured with the company’s business process. The ERP application consist of warehouse or production module, purchasing module, sales module, and accounting module
SETTING UP AN INDUSTRIAL CONTROL SYSTEMS LABORATORY
Get PDFWith the evolution of Industrial Control Systems, many solutions from vendors are offered for industries. But sadly, most of those solutions are close-sourced, delivering lack of support for third parties who aim to develop Industrial Control Systems further. A start-up company named SecurityMatters needs an industrial instrument to simulate industrial environment to have a better idea how a particular protocol works. The application made in this project was developed using Java programming language to have compatibilities across platforms. An Object-Oriented-Programming and Model-View-Controller pattern are used as well to ensure maintainability. This application can be used to demonstrate capabilities of Modbus protocol and test industrial devices for vulnerabilities
IDENTIFIKASI FAKTOR PREDIKSI DIAGNOSIS TINGKAT KEGANASAN KANKER PAYUDARA METODE STEPWISE BINARY LOGISTIC REGRESSION
Get PDFThe World Health Organization (WHO) reported that deaths caused by cancer in the world these last four years has increased significantly. The data also reflected in the increase in breast cancer cases. In Indonesia, two cases also the highest cases of adult female deaths. Based on Hospital Information System, the number of breast cancer patients either inpatient or outpatient care amounted to 28.7%. This fact revealed more than 40% of all cancers can be prevented with early detection cancer. Role of Information Technology can implemented by data mining techniques to shorten the diagnosing time, accuracy and selection of factors early detection of breast cancer. Stepwise binary logistic regression method has the advantage to add and subtract the independent variables in accordance with level of significance of the model. Based on the analysis of weighting method, the highest four variables that should be more aware is the area of cancer (area), fineness (smoothness), the number of dots (concave points) or the nucleus of cancer and grayish level of cancer (texture). So the accuracy and processing speed of diagnosis of the severity of breast cancer can be improved through this method
PERBANDINGAN APLIKASI MENGGUNAKAN METODE CAMELLIA 128 BIT KEY DAN 256 BIT KEY
Get PDFThe rapid development of the Internet today to easily exchange data. This leads to high levels of risk in the data piracy. One of the ways to secure data is using cryptography camellia. Camellia is known as a method that has the encryption and decryption time is fast. Camellia method has three kinds of scale key is 128 bit, 192 bit, and 256 bit.This application is created using the C++ programming language and using visual studio 2010 GUI. This research compare the smallest and largest key size used on the file extension .Txt, .Doc, .Docx, .Jpg, .Mp4, .Mkv and .Flv. This application is made to comparing time and level of security in the use of 128-bit key and 256 bits. The comparison is done by comparing the results of the security value of avalanche effect 128 bit key and 256 bit key
KLASTERISASI DAN ANALISIS TRAFIK INTERNET MENGGUNAKAN FUZZY C MEAN DENGAN EKSTRAKSI FITUR DATA
Get PDFInternet facilities is one important part of the infrastructure of the campus at this time. Internet facility is a part of teaching and learning activities. Important part of the internet facility is the internet bandwidth, which is often deemed less bandwidth for certain majors at certain hours of lecture hours especially active. To overcome this there needs to be an analysis and clustering of the internet traffic at each point where the distribution of bandwidth is done so that in the end can provide information that can support decision granting bandwidth at each point there. One algorithm for clustering algorithms used are Fuzzy C-Mean, in which the clustering process before the beginning of the internet bandwidth usage data that exists in one period will be collected to be input to the Fuzzy C-Mean algorithm for the distribution of clusters on the use of existing bandwidth based applications that use the internet and network users. But the initial dataset that of the Fuzzy C Mean is not optimal, so we need some optimization dataset using feature extraction data so that the resulting clusters by Fuzzy C Mean algorithm has the accurate output. Results to be obtained from this study is the extraction of feature data that is most appropriate to perform clustering and analysis of Internet traffic based on user applications and the amount of capacity used by the user, which information the clustering results can be used to optimize internet bandwidt
PEMANFAATAN KURVA B-SPLINES UNTUK MEMPERHALUS VISUALISASI OBYEK MESH
Get PDFRay tracing is one of the photorealistic rendering method. Ray tracing process takes a long time because of the calculation of lighting effects and optical effects caused by the material of the object. The length of rendering time increases with the increasing complexity of the shape of the object, such as a mesh object. To minimize processing time, generally done by reducing the complexity of the mesh, which reduces the number of face that forms a mesh object. How to reduce the number of face is to combine adjacent face to face. The downside of this method is that the object surface resulting display will look grainy/triangular - facet (checkered). The proposed method in this study aims to refine the visualization of objects that complexity is not high. Triangular surface mesh - terms appear due to the calculation of the same color for each face that form a mesh. If the face has a color gradation, the mesh will look smooth surface. To produce a color gradation on a broad face, normal calculation was used, ie in proportion adopting b - splines curve calculations. Testing is done by comparing the results of the use of normal B - splines to the simple method of subdivision (a method of face vast divide into several smaller face , so that the finer the mesh surface) with ray tracing rendering method. From the experimental results, it can be concluded that the results of ray tracing using b - splines normal when compared with the subdivision, the results are not too different. From the aspect of long rendering process, the more the number of face of a mesh, it also increase the effectiveness of rendering time process. However, the increase is not proportional to the increase in the number of mes