Rancang Bangun Penghitung dan Pengidentifikasi Kendaraan Menggunakan Multiple Object Tracking

Detection of a vehicle with a video camera is one accurate technology for detecting vehicles efficiently and can be used for large-scale data collection. This study has been conducted implementation of counters and identifiers vehicles on the highway using multiple object tracking. The system uses an algorithm Gaussian mixture models and Kalman filter to detect and track the position, speed, direction of motion and size of vehicles from time to time in each image frame. The process of counting and identifying the vehicle consists of several stages of image acquisition, object detection using a Gaussian mixture models, morphology, object tracking using a Kalman filter and counting as well as the identification of the vehicle. The results of system performance is obtained by calculating the value of accuracy. Best performance results from the system counters and identifiers of vehicles on the highway using multiple object tracking obtained by the time of the morning and the worst at night. The results of the performance measurement system and vehicle identifiers using multiple object tracking accuracy of the results obtained on the morning of 94%, by 90% during the day, in the afternoon by 85%, and the evenings of 59%

Aplikasi Metode Otsu Untuk Identifikasi Bakteri Tuberkulosis Secara Otomatis

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. In this research, Ziehl-Neelsen sputum image is used to identify TB bacteria. Image segmentation process is done by using Otsu auto-thresholding to split object from its background in the ZN-stain sputum sample image. Morphology operation is done toward the splitting result to obtain the value of compactness, metric, and eccentricity of each object in the image which later will be used as input for the Adaptive Neuro-Fuzzy Inference System (ANFIS) to be classified. Result of the research show that segmentation using Otsu method is capable to properly split the object expected as bacteria from its background. The network testing show that ANFIS architecture with gbellmf as membership function type will work properly if it has 2 MFs on each input with epoch of 40

Segmentasi Citra Medis Untuk Pengenalan Objek Kanker Menggunakan Metode Active Contour

Cancer diseases characterized by abnormal cell cycle, in which the body cells grow out of control (cell division beyond the normal limits) and invade nearby healthy tissue. Cancer cells are actively dividing sensitive to radiation exposure, so that cancer can be treated with a high dose of radiation that is commonly referred to radiotherapy. High-dose radiation is damaging tissue, therefore radiotherapy should be planned carefully. Dose in cancer cells should be precise and dangerous organs (organs at risk) should not receive high doses. Contouring is the process of determining the volume of cancer and other organs at risk. Research on contouring is done by developing a step-by-step algorithm that is able to localize the area detected as cancer and also borders cancer, so it is visually identifiable characteristics and forms of cancer. Active contour image segmentation methods used to separate and identify cancer cells with healthy cells. Active contour is able to recognize the limits of automatic edge, so as to know the boundary between cancer cells with healthy cells. Determination of volume and visualization of cancer is done by segmenting the image of each piece, then each piece of the image reconstruction process is carried out to obtain the volume visualization of cancer and dangerous organ in three dimensions. The results showed that the active contour segmentation method can perform image segmentation for multi-region with objects, objects that are close together but are sensitive to image noises

Otomasi Sistem Destilasi Menggunakan Plc Omron Cp1h dan Kontrol Suhu dengan Kendali Auto Tuning Pid dalam Penampil Scada

Industrial world today can\u27t be separated with the problem of automation for various production facilities, one of them is the process of distillation in industry or the oil refining industry. Distillation is the process of separating substance by boiling point, where the temperature becomes the focal point of the phase that change process so it to control of substances that aims to keep the temperature value in the range of desired values. In this study using a multilevel distillation system, so it has two set of controling temperature points. Operation of distillation system automatically works with the help of controls Service such as PLC OMRON CP1H and temperature control with auto tuning PID (Proportional Integral Derivative). The system is equipped with SCADA (Supervisory Control and Data Acquisition) and data logger so as to facilitate the operation of automation and configuration PID parameters such as proportional coefficient (Kp), the integral time (Ti), the time derivative (Td). Modeling materials processed using methanol with 64 oC boiling point and ethanol with a boiling point of 78 °C. Results of the research showed us that the temperature control system can use the auto tuning PID controled by a PLC can be done, a good temperature control is obtained with a small error rate. auto tuning method is still having oscillations, but a PID value will be automatically calculated quickly so that a constant parameter values obtained to get the stability of temperature. The value of maximum overshoot (Mp) of auto tuning of 9,09% and error steady state (ESS) of 1.53%. Results of calculation from the value of parameter auto tuning PID used as next tuning parameters and steady state response is obtained more quickly, with Mp of 4,61% and 0% of ESS

Sistem Identifikasi Kualitas Daging Sapi dengan Metode Pengolahan Citra Menggunakan Telepon Seluler dengan Sistem Operasi Android

Research on Beef quality identification system with image processing method using android smartphone had been carried out at Diponegoro University electronic and instrument Physics Laboratory. In this research, a segmentation algorithm extents and extent of meat and fat classification decision tree. Which can be run on smart phones with Android as the operating system. Characteristics that are used to distinguish the quality of beef (marbling score) in this study is the extent of fat,and meat. From the research that has been done can be concluded that the developed system is able to perform image acquisition and identifying beef marbling score well. The system is designed using decision tree-based classification method and the results obtained in the testing accuracy of 90% and 84% on the acquisition of training at a distance of 30 cm

Pengambilan Data Kwh Meter Menggunakan Mikrokontroler Atmega8535 dengan Komunikasi Inframerah

Research has been done utilizing the infrared data communication, as data retrieval by officers PLN kwh meter, kwh meter analog works by utilizing a rotating magnetic field aluminum plate, the rotation speed is influenced by the size of the electric current, the data set will be taken manually every month by officers PLN. Analog kwh meters of electricity in this regard has been modified into a digital Kwh meter, with infrared transmitter facility as a data transmission media. In this research will be limited only in the manufacture of data communications equipment, utilizing the media wave infrared wireless transmission of data with a certain distance. This Equipment will have an LCD and several buttons to facilitate the operation. Data of Kwh meter saved in the Equipment can be viewed again on the LCD. With the assistance of proper software, data can further be processed into a computer using comport feature on the Equipment. This Equipmentuses microcontroller ATmega8535 and 9-volt battery power