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Provides an abstract for each of the tutorial presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
This paper proposes a new technique for simultaneous estimation of missing values using Weighted kNN approach whose weight is computed by the product of Grey relational grade and weight vector of SVM. A mixture kernel is used which is a hybridization of Polynomial and Radial Basis Kernel. Applying this proposed technique to fisher iris dataset, we find that the mixture kernel gives better result....
In this paper, we propose a high capacity text steganography method using Huffman compression. The forward email platform is used to hide the secret data. We make use of the number of characters used in email id to indicate the hidden secret data bits. So, to make optimal utilization of number of characters in email ids, the characters added to the email id to indicate the secret data bits are taken...
On behalf of the Conference Organizing Committee, it gives me a great pleasure to welcome you to the 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT 2015). I am honored and privileged to be the General Chair of the Organizing Committee of this Conference that is jointly organized by Princess Sumaya University for Technology (PSUT) and IEEE - Jordan Section.
This paper presents new aspects of using biometric features and patterns for creation of new cryptographic protocols. These protocols are dedicated for secure information sharing and distribution processes. Such algorithms allow protecting confidential data sets, and performing secure operation for different kinds of information. Bio-inspired techniques for securing information will be presented on...
This paper aims to present a BCI based rehabilitation system and communication tool for stroke survivors. The system uses P300 evoked potential in order to control a hand orthosis or to write text. The key element is the real-time feature extraction and classification that works fast enough to present a feedback to the patient on the computer display. That helps the patient to learn faster to control...
In this paper, we propose a novel algorithm for underdetermined blind identification problem in blind source separation. The proposed algorithm is based on the charrelation matrix of observed signals. The charrelation matrix not only can be considered as a generalized second-order covariance matrix, but also incorporates higher-order information. It is significant for blind separation problem based...
Users consumption of video grows everyday through many different plataforms. Beyond its role on traditional broadcasting, video transmission is becoming the highest load of Internet traffic both through wired and wireless networks. Video Quality Assessment (VQA) becomes crucial for regulators, broadcasters as well as network operators. The most accurate methods to measure Video Quality are the subjective...
In recent years, a vast researches are concentrated towards the development of EEG based human computer interface in arrangement to enhancing the quality of life for medical as well as non-medical applications. Industry and community of research has been attracted by wireless EEG devices and they are easily available in the market. Such technology can be incorporated to psychology, anesthesiology,...
P300 speller for Brain-Computer Interface systems aim to provide a direct communication between computer - machine and human brain, without any muscular activity. The communication is provided by detecting the presence of P300 Event Related Potentials (ERPs) in the electroencophelogram (EEG) signals, recorded from scalp. The major problem associated with P300 spellers is the stratification of EEGs...
We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
Embedded Computing platforms based on Microcontroller, Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) are subjects of interest at Under Graduate(UG) and Post Graduate(PG) levels in Electronics and Communication Engineering. Real Time Signal Processing algorithms are generally implemented on any one of these platforms. The paper presents a comparative performance analysis between...
With the implementation of the principle of the Internet of Things raises demands for new services as well as technical requirements that enable their implementation. One of the fields is the localization of wounded in mass disasters. Currently, the identification is performed by paper / plastic triage tags, which are used to label wounded victim at first contact with rescue unit based on the state...
Leaf is one of the most important organs of plant and often used as one of the basic characters in plant classification. The developmental condition of leaf can provide us with lots of critical information, such as the plant's health condition, the prospection of crop yield and so on. Leaf image processing by computer has been widely used for the extraction and dissection of leaf images in relevant...
This paper presents the audio system built for the virtual room at Helsinki University of Technology. First we discuss the general problems for multichannel sound reproduction caused by the construction of, and the equipment in virtual rooms. We also describe the acoustics of the room in question, and the effect of the back-projected screens and reverberation to the sound. Compensation of the spectral...
This paper describes a spreadsheet platform for learning signal processing called SignalSheets. SignalSheets consists of sections, each represents a signal transformation from input to output. In this paper, we use SignalSheets to explain how to estimate spectrum of an input signal using fast Fourier transform (FFT) of Appoints. It starts with puting the input signal into an input section. If the...
Techniques used in text steganography are more difficult to develop, since there is less redundancy in text than other media, such as image, video and audio. A text hiding method using multiple-base encoding is proposed. The occurrence number of each word is counted and sorted in descending order, which is set as a base in the multiple-base notation system. Those unrepeated words are treated as a...
Random number generators (RNGs) are one of the key tools necessary for statistical analysis and optimization methods such as Monte Carlo, particle swarm optimization (PSO) and the genetic algorithm. Various pseudo and true RNGs are available today, and they provide sufficient randomness. Unfortunately, they generate data that do not always represent the required distribution accurately, especially...
Software defined wireless sensor network can be adapted to different application needs through dynamic programming. In this paper, we propose a signal acquisition and processing wireless sensor network (SAPSN). SAPSN consists of sampling nodes, processing nodes and remote controllers. At first, the sampling node completes the local signal sampling by analog-digital conversion. Next, according to the...
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