25 research outputs found
Blood-pressure measurement
No full textIn this project an auscultatory method is used to obtain non-invasive human blood-pressure signals. An algorithm based on wavelet transform is introduced to detect every single Korotkoff pulse of blood pressure for (1) a subject at rest, (2) a subject walking with his/her arm still and (3) a subject walking with his/her arms swinging.MASTER OF ENGINEERING (EEE
Perancangan dan Pembuatan Aplikasi Peta Wisata dan Kuliner Yogyakarta Berbasis Web
No full textAplikasi Peta Wisata dan Kuliner Yogyakarta adalah aplikasi berbasis web yang menyediakan informasi mengenai objek wisata, kuliner dan objek pendukung lainnya di daerah Yogyakarta serta memanfaatkan Google Maps sebagai penyedia peta. Pengembangan aplikasi ini menerapkan konsep model-view-controller (MVC) dengan menggunakanframework CodeIgniter berbasis bahasa pemrograman PHP. Aplikasi Peta Wisata dan Kuliner ini mencoba memberikan suatu altematif aplikasi wisata dan kuliner berbasis web yang memanfaatkan Google Maps untuk menunjukkan lokasi objek. memberikan petunjuk arah serta menyediakan media bagi user untuk berpartisipasi menambah konten web. Hasil dari penelitian ini berupa suatu aplikasi berbasis web yang berjalan di komputer desktop maupun laptop, dan memberikan informasi wisata dan kuliner yang dapat ditampilkan dalam sua(u peta menggllnakan Google Maps API JavaScript. Aplikasiyang dihasilkanjuga memberikanruang bagi user untuk berpartisipasi menambah konten wisata, kuliner dan objek pendukung lain, dalam bentuk memberikan testimoni, membuat event, menambahfoto dan menambah objek dengan melakukan request spot baru
ESTIMASI FUNGSI SPASIAL PADA IDENTIFIKASI FITUR WAJAH
No full textAbstrak Penelitian ini untuk mengidentifikasi fungsi spasial pada 5 titik fitur wajah dengan metode PCA dan Viola-Jones. Pencahayaan mempengaruhi tingkat identifikasi wajah menggunakan PCA. Metode Viola-Jones relatif mendapatkan hasil yang cepat, akurat, dan efisien dalam melakukan deteksi wajah pada gambar. Dalam penelitian ini mendapatkan nilai akurasi sistem deteksi wajah sebesar 95%. Hasil yang didapatkan dengan posisi wajah terkena cahaya menentukan keberhasilan deteksi wajah tersebut. Kata kunci: 3D, Edgedetection, Pencocokan Â
PENGUJIAN PENGARUH CAHAYA TERHADAP PROSES TRACKING APLIKASI AUGMENTED REALITY BERBASIS ANDROID
No full textAugmented Reality (AR) is an environment which inserts virtual 3D
objects into reality in a realtime manner. This research discusses about the making
of augmented reality application with android-basis, and the application will be
tested in certain scenario with different light intensity. This application is
functioned to track an object and provide information about the object in a form of
image and video content which embedded to the screen after the tracking process
is finished. This research is conducted because of the opportunities in the usage of
augmented reality technology by using android smartphone. Beside that, it needs
to be examined about the impact of light on the process of AR application to obtain
the setting of appropriate environment for implementing the AR technology.
This research begins with identification process of user needs and application
to the scenario of object recognition using augmented reality technology with
android-basis, and the visualization of its information and supporting content. The
next process is the preparation of hardware and software for the application
development. The application will be tested for its performance in certain levels of
light intensity to measure its level of success and will be tested for the impact of
light intensity on the application performance.
The result of this research is the creation of application of augmented reality
using android-basis which can perform such recognition process to an object and
showing its information on the screen. In addition, the level of appropriate light
intensity will be obtained for the implementation of this technology
Indoor electrical device control based on activity context and number of occupant utilizing Google Calendar and WSN
No full textGamification Methods of Game-Based Learning Applications in Medical Competence: A Systematic Literature Review
No full textE-learning implementation can overcome many problems of learning process such as distance, time, and cost. For example, in companies, e-learning can increase the knowledge of employee. E-learning also can be used to improve skills for medical personnel that are important in health care education. Gamification can be implemented by turning the whole learning process into a game by using game elements such as badges, points, levels, and leaderboards in non-game settings to encourage the desired behavior and achievement goals. This study aims to find the implementation of Game-Based Learning Applications in Medical Competence. Using electronic search, we found 5 papers using a mobile application, 2 papers using a desktop application, 10 papers using virtual reality, 5 papers using a web application, and 2 Miscellaneous. All of the papers have environment or media and game-elements to apply gamification. All paper said that gamification can enhance medical competence, but just 7 papers said gamification can increase user attention and motivation and 3 papers said gamification can make user feel challenging and interesting. However, this paper proposes a different way to implement gamification elements. This study shows that gamification is a suitable learning method for medical personnel to improve their knowledge and increase motivation, attention, learning process, and learning outcomes
Evaluasi Kemampuan Sistem Pendeteksian Objek Augmented Reality secara Cloud Recognition
No full textMarker merupakan komponen penting pada aplikasi Augmented Reality (AR) untuk melakukan deteksi objek. Vuforia sebagai salah satu editor AR tersedia dalam 2 layanan yang dapat digunakan untuk menyimpan marker yaitu device database dan cloud database. Paper ini akan membahas mengenai kemampuan aplikasi AR cloud recognition pada Vuforia dalam mendeteksi objek secara cloud recognition. Beberapa indikator yang diuji yaitu menghitung response time dari sistem, pengaruh perbedaan sudut mengambil gambar, pengaruh latar belakang, pengaruh jarak objek dengan kamera serta pengaruh posisi objek yang dirubah. Secara umum AR Cloud recognition pada Vuforia ini dapat mendeteksi beberapa objek dengan baik dengan tingkat keberhasilan deteksi sebesar 66,66%, akan tetapi tidak cocok digunakan untuk mendeteksi objek yang polos dan objek 3D yang rumit bahkan human face
