PREMIS Requirement Statement Project Report

This is the report of the PRESTA Project, the objective of which was to develop a requirements specification for preservation metadata based on the PREMIS (PREservation Metadata: Implementation Strategies) final report, the Data Dictionary for Preservation Metadata

Object Enhancement, Noise Reduction, Conversion and Collection of Spatiotemporal Image Data

In this report, a variety of cellular dynamics are enhanced and analyzed utilizing various algorithms and filter for contrast enhancement. This report will also illustrate the underlying complexities of processing compressed data received from certain type of sensors, their default applications, various methods in converting compressed data to compatible universal uncompressed formats allowed in scientific applications, various methods of image and video capture, guidelines in ethical image manipulation, various methods of frame extraction, and analyzing/processing video images. These methods and processes purposely utilize freeware and public domain software to lower the cost of reproducibility for all

PCA Encrypted Short Acoustic Data Inculcated in Digital Color Images

We propose develop a generalized algorithm for hiding audio signal using image steganography. The authors suggest transmitting short audio messages camouflaged in digital images using Principal Component Analysis (PCA) as an encryption technique. The quantum of principal components required to represent the audio signal by removing the redundancies is a measure of the magnitude of the Eigen values. The aforementioned technique follows a dual task of encryption and in turn also compresses the audio data, sufficient enough to be buried in the image. A 57Kb audio signal is decipher from the Stego image with a high PSNR of 47.49 and a correspondingly low mse of 3.3266 × 1

A network transparent, retained mode multimedia processing framework for the Linux operating system environment

Die Arbeit präsentiert ein Multimedia-Framework für Linux, das im Unterschied zu früheren Arbeiten auf den Ideen "retained-mode processing" und "lazy evaluation" basiert: Statt Transformationen unmittelbar auszuführen, wird eine abstrakte Repräsentation aller Medienelemente aufgebaut. "renderer"-Treiber fungieren als Übersetzer, die diese Darstellung zur Laufzeit in konkrete Operationen umsetzen, wobei das Datenmodell zahlreiche Optimierungen zur Reduktion der Anzahl der Schritte oder der Minimierung von Kommunikation erlaubt. Dies erlaubt ein stark vereinfachtes Programmiermodell bei gleichzeitiger Effizienzsteigerung. "renderer"-Treiber können zur Ausführung von Transformationen den lokalen Prozessor verwenden, oder können die Operationen delegieren. In der Arbeit wird eine Erweiterung des X Window Systems um Mechanismen zur Medienverarbeitung vorgestellt, sowie ein "renderer"-Treiber, der diese zur Delegation der Verarbeitung nutzt

Quantitative analysis of streaming protocols for enabling Internet of Things (IoT) audio hardware

Given that traditional music production techniques often incorporate analog audio hardware, the Internet of Things (IoT) presents a unique opportunity to maintain past production workflows. For example, it is possible to enable remote digital connectivity to rare, expensive and bespoke audio systems, as well as unique spaces for use as echo chambers. In the presented research, quantitative testing is conducted to verify the performance of audio streaming platforms. Results show that using a high-speed internet connection, it is possible to stream lossless audio with low distortion, no dropouts and around 30 ms round-trip latency. Therefore, with future integration of audio streaming and IoT control protocols, a new paradigm for remote analog hardware processing in music production could be enabled

PERANCANGAN SISTEM PENDETEKSI DENYUT NADI MENGGUNAKAN METODE EULERIAN MOTION MAGNIFICATION

Detak jantung merupakan parameter yang sangat penting dalam menentukan kesehatan seseorang. Dari detak jantung, dapat diketahui seseorang memiliki gangguan kesehatan atau tidak. Saat ini, pengukuran detak jantung dilakukan dengan menggunakan sensor pulse oximetry yang dijepitkan di ujung jari atau daun telinga. ECG juga dapat digunakan untuk mengukur detak jantung, alat ini mengharuskan pasien memakai patch di dada yang dapat menimbulkan rasa tidak nyaman, bahkan dapat menyebabkan iritasi. Baru-baru ini dikembangkan sebuah metode bernama Eulerian Motion Magnification. Pada penelitian sebelumnya metode ini telah diterapkan untuk mengukur detak jantung dengan cara mengambil video dari wajah pasien, kemudian diamati perubahan warna wajah saat jantung memompa darah ke kepala. Dalam tugas akhir ini, metode tersebut digunakan untuk mengukur detak jantung dengan cara mengambil video dari pergelangan tangan. Pergerakan mikro dalam video tersebut kemudian diperbesar sehingga denyut nadi dapat terlihat. Setelah itu dilakukan deteksi pada denyut nadi yang telah terlihat. Kemudian didapatkan hasil berupa jumlah denyut nadi per menit dalam satuan BPM. Hasil pengujian sistem pada tugas akhir ini menunjukkan bahwa metode Eulerian Motion Magnification menghasilkan nilai akurasi tertinggi yaitu 95,83% dengan waktu komputasi 338 detik. Hasil tersebut didapat pada kondisi intensitas cahaya 1358 lux, resolusi video 1280x720 piksel, jarak pengambilan video 10 cm, dan frame rate 25 fps. Kata kunci : Pulse Oximetry Sensor, ECG, Eulerian Motion Magnificatio

Visual and Lingual Emotion Recognition using Deep Learning Techniques

Emotion recognition has been an integral part of many applications like video games, cognitive computing, and human computer interaction. Emotion can be recognized by many sources including speech, facial expressions, hand gestures and textual attributes. We have developed a prototype emotion recognition system using computer vision and natural language processing techniques. Our goal hybrid system uses mobile camera frames and features abstracted from speech named Mel Frequency Cepstral Coefficient (MFCC) to recognize the emotion of a person. To acknowledge the emotions based on facial expressions, we have developed a Convolutional Neural Network (CNN) model, which has an accuracy of 68%. To recognize emotions based on Speech MFCCs, we have developed a sequential model with an accuracy of 69%. Out Android application can access the front and back camera simultaneously. This allows our application to predict the emotion of the overall conversation happening between the people facing both cameras. The application is also able to record the audio conversation between those people. The two emotions predicted (Face and Speech) are merged into one single emotion using the Fusion Algorithm. Our models are converted to TensorFlow-lite models to reduce the model size and support the limited processing power of mobile. Our system classifies emotions into seven classes: neutral, surprise, happy, fear, sad, disgust, and angr

Impact flux on Jupiter: From superbolides to large-scale collisions

Context. Regular observations of Jupiter by a large number of amateur astronomers have resulted in the serendipitous discovery of short bright flashes in its atmosphere, which have been proposed as being caused by impacts of small objects. Three flashes were detected: one on June 3, 2010, one on August 20, 2010, and one on September 10, 2012. Aims. We show that the flashes are caused by impacting objects that we characterize in terms of their size, and we study the flux of small impacts on Jupiter. Methods. We measured the light curves of these atmospheric airbursts to extract their luminous energy and computed the masses and sizes of the objects. We ran simulations of impacts and compared them with the light curves. We analyzed the statistical significance of these events in the large pool of Jupiter observations. Results. All three objects are in the 5-20 m size category depending on their density, and they released energy comparable to the recent Chelyabinsk airburst. Model simulations approximately agree with the interpretation of the limited observations. Biases in observations of Jupiter suggest a rate of 12-60 similar impacts per year and we provide software tools for amateurs to examine the faint signature of impacts in their data to increase the number of detected collisions. Conclusions. The impact rate agrees with dynamical models of comets. More massive objects (a few 100 m) should impact with Jupiter every few years leaving atmospheric dark debris features that could be detectable about once per decade

Internet of Infringing Things: The Effect of Computer Interface Copyrights on Technology Standards

You connect to the Internet via your Wi-Fi access point. You surf the Web using a browser and send emails through your email server. You probably use some USB peripherals-say a mouse, keyboard, or printer. Maybe you even watch cable or broadcast television. Under current case law, each of those computer systems and devices may very well be copyright-infringing contraband. This is through no fault of your own-you need not be pirating music or streaming illegal movies to infringe a copyright. The infringement simply exists, hard-wired within each of those devices and many more that you use, a result of the devices\u27 basic operations: connecting to Wi-Fi, displaying web pages, sending email, connecting peripherals, or receiving broadcasts