Facial Landmark Detection Using Affine Graph Matching and a Genetic Search Algorithm

This paper proposes a method that finds landmark points on the face, which is one of the main tasks in a face recognition system. Salient facial landmark detection is important because it enables face normalization and leads to size and orientation invariant face recognition. The presented approach is based on an affine graph matching technique and uses a genetic algorithm to perform the search. The feasibility of our methodology for detection tasks related to face landmark point detection has been deployed using the ORL face image database. Experiments show satisfactory results under relatively wide conditions. The GA searching approach is essential because it effectively searches the solution space.

Fun-Game Application to create Interactive and Attracting Museum using Mobile Phone and QR Code Tags

Museum have a very important role to give understanding and knowledge of human historical and civilazation. On museum people can learn the development of human civilization, art, history, and technology. Unfortunately museums are often still perceived as uninteresting and boring place to go. This research try to developt an interactive information and fun-game on the museum using mobile phone application and QR code technology. The fun-game will delivered to visitor by give them a riddle question and also using silhoutte guess game about the artefact in the museum. The visitor will answer the question by scan the QR code tags that attach on the museum artefact

Implementing QR Code to Create Indonesia Museum Interactive Information Application

The tourism sector is one of the revenue resources that can be explored without any depletion. The tourism sector can also absorb a lot of manpower. One of the tourism potential is the historical heritage such as the ancient culture, religious relics, and the historical war. Currently, there is still lacking exploration from museum as one of tourism potential especially in Indonesia. People still think museum as a gloomy, historical, and boring place. In this research, we try to build a prototype of interactive museum information that made using mobile device application and QR code. The QR code tag will be place on museum artefact and rooms in the museum to give interaction information to the museum visitor. By scan the QR code tag, museum visitor will provided with more information about the artefact, rooms, etc. The museum information will provided using text, image, sound, and video

Perancangan Dan Pembuatan Adapter Penghubung Keyboard IBM PS/2 Dengan Port USB Personal Computer

Universal Serial Bus (USB) as a new interface especially on Personal Computer (PC) has become a standard for interfacing many devices to PC such as printer, scanner, mouse, webcam, etc. In this paper, a device that can be recognized by USB host and communicate through USB port correctly was developed. It has been implemented by making an adapter therefore IBM PS/2 keyboard could be recognized and operated in a USB environment. The device used a PDIUSBD12 USB interface IC which handle USB protocol and an AT89C2051 microcontroller which handle all incoming or outgoing data from and to PDIUSBD12 or keyboard. The device has been tested and proven capable of handling enumeration process and transfer data from keyboard to PC via a USB port. Although the device didn\u27t support all functions of the keys, but the main keys worked normally on pressing one key or even combination keys. Keywords : Universal Serial Bus, PS/2 Keyboard Adapter to USB port, PDIUSBD12

Water Volume Detection System in Galon using Arduino

Internet of things has a concept that aims to expand the benefits connected in a continuous internet connection on an ongoing basis. The method used by Internet of Things is automatic control without distance. Implementation currently gallon control of water is still done by looking at the state of gallons and then gallons turn when the water in the gallon is already empty. With the internet of things can be implemented a water volume detector that can monitor the state of the gallon from a distance through a smartphone. To make the manufacture of water volume detection required tools such as water flow sensors, microcontroller or other tools that are then connected to the internet. For interaction relationship of water flow sensor, microcontroller, or other tool of help through internet used Android application. This Android application is used to facilitate users to access the internet anywhere. This Android application is made by using Android studio and microcontroller made with Arduino programming using C language. Microcontroller used is WeMos D1 R2 which has been contained ESP8266 in it. The result of this water volume detection development is the microcontroller can transmit sensor data to the Ubidots server so that the application can retrieve sensor data on the Ubidots server. Users can view the gallon state in real time and are also given a notification when the gallon water volume is below alert level. Users can also view reports of gallons per month

Museum Interactive Information Broadcasting Using Indoor Positioning System and Bluetooth Low Energy: a Pilot Project on Trowulan Museum Indonesia

The tourism sector become a promising country income. This is because its nature which is not easily run out if managed properly. This sector can be a great support especially for developing countries such as Indonesia, because usually developing countries income only rely on natural and human resources income. Museums are one of the tourism sectors that have not been explored properly. Museums in Indonesia are still few that using the latest technology such as smartphone application, wifi, bluetooth, RFID. So, that it makes the museum a less attractive place to visit, especially for young generation. This research tries to create an interactive broadcasting museum information by utilizing applications on smartphones, indoor positioning systems, and bluetooth low energy beacons to provide information to museum visitors about artifacts around museum visitor location. As a pilot project a testing was conducted at the Trowulan Museum, Mojokerto, East Java, Indonesia, which is a museum that exhibits the relics of the Majapahit kingdom. The application has been able to provide interactive information about artifacts around the visitors location so as to create an interesting museum to visi

Indonesian Stock Prediction using Support Vector Machine (SVM)

This project is part of developing software to provide predictive information technology-based services artificial intelligence (Machine Intelligence) or Machine Learning that will be utilized in the money market community. The prediction method used in this early stages uses the combination of Gaussian Mixture Model and Support Vector Machine with Python programming. The system predicts the price of Astra International (stock code: ASII.JK) stock data. The data used was taken during 17 yr period of January 2000 until September 2017. Some data was used for training/modeling (80 % of data) and the remainder (20 %) was used for testing. An integrated model comprising Gaussian Mixture Model and Support Vector Machine system has been tested to predict stock market of ASII.JK for l d in advance. This model has been compared with the Market Cummulative Return. From the results, it is depicts that the Gaussian Mixture Model-Support Vector Machine based stock predicted model, offers significant improvement over the compared models resulting sharpe ratio of 3.22

FACE RECOGNITION MENGGUNAKAN METODE LINEAR DISCRIMINANT ANALYSIS (LDA)

Paper ini membahas sistem pengenalan image wajah dengan 2 metode ekstraksi feature statistik yaitu PCA (Principal Components Analysis) dan LDA (Linear Discriminant Analysis). Pemilihan metode ekstraksi feature yang tepat dan efisien sangat menentukan keberhasilan dari sistem pengenalan secara keseluruhan. Sistem dibangun menggunakan platform PC dengan penulisan program komputer menggunakan Delphi

Adaptive Background Extraction for Video Based Traffic Counter Application Using Gaussian Mixture Models Algorithm

The big cities in the world always face the traffic jam. This problem is caused by the increasing number of vehicle from time to time and the increase of vehicle is not anticipated with the development of new road section that is adequate. One important aspect in the traffic management concept is the need of traffic density data of every road section. Therefore, the purpose of this paper is to analyze the possibility of optimization on the use of video file recorded from CCTV camera for the visual observation and the tool for counting traffic density. The used method in this paper is adaptive background extraction with Gaussian Mixture Models algorithm. It is expected to be the alternative solution to get the data of traffic density with a quite adequate accuracy as one of aspects for decision making process in the traffic engineerin

Reduksi Noise Akustik Secara Aktif Dengan Metode Filtered-X Least Mean Square

The paper describes an implementation of an active noice canceller by using the algorithm of Filtered-X Least Mean Square (Filtered-X LMS). The system was implemented on a digital signal processor starter kit of TMS 320C50. The system was equipped with 2 speakers as sound source and noise source and microphones as sound sensors. The processor controlled the noise by generating an anti-noise sound trying to cancelled the noise so that the total noise would be reduced. The experimental results shows the system could reduce noise with the level of 20 dBV