Volume 2 Issue 1
Authors: Amir Behruzifar; Abolfazl Falahati
Abstract: There are various definitions of wireless channel capacity, depending on whether capacity characterizes the maximum rate averaged over all fading state or maximum constant data rate that can be maintained over all fading states. Between these definitions, outage capacity is a high requested one, since it is a more appropriate definition for delay constrained applications like voice and video. Hence, maximizing this type of capacity would be more concerned. In this paper outage capacity is maximized over cut-off fading states above which transmission should be maintained. The problem is studied for Rayleigh flat fading channel where channel side information (CSI) is known at transmitters and receivers. Optimization problem is solved for both single user and multiuser channel. Numerical results will be shown as the maximum outage capacities and the associated cut-off fading states for either of the channels.
Keywords: Outage Capacity; Rayleigh Fading Channel; Cut-off Fading State
Authors: Delong Cui
Abstract: Digital watermarking is a technique used to embed an extra piece of information into multimedia signals. Digital watermarking can be realized by many different methods, but the common existing techniques for watermarking are confronted with the problems of perceptible quality degradation and the inherent conflict between imperceptibility and robustness, which is introduced by the watermark embedding. In this paper, a novel audio zero-watermarking scheme based on lifting-based wavelet transformation (LWT) and non-negative matrix factorization (NMF) for content authentication is proposed. First the audio is divided into frames by fixed length and then frequent components are obtained by three-level LWT in every frame. Secondly the audio frame is approximately represented as a product of a base matrix and a coefficient matrix by NMF. Finally the feature vector is obtained by quantifying the coefficient matrix, and then the copyright information is obtained by calculating the watermark and feature vector. The performance of proposed algorithm is analyzed by common signal processing, and experiment results show that the proposed scheme is robust and secure.
Keywords: Audio Watermarking; Non-negative Matrix Factorization; Lifting-based Wavelet; Normalized Hamming Distance; Signal to Noise Ratio
Authors: Xingfang Jiang; Wei Zhou; Yuanming Huang; Xianqiang He
Abstract: For forecasting parameters of the ocean internal wave from the geometric corrected MODIS remote sensing images, an intelligent system had been developed. The intelligent system was based on the MODIS remote sensing image with the latitude and longitude information. The MODIS remote sensing images were corrected by ENVI. The intelligent system was developed by the authoring tool of Multimedia ToolBook (MTB). The user could drag and place the magic point in any position of the remote sensing image. The coordinate values of the magic point could be read in the fields in intelligent system. For developing the intelligent system, many methods had been studied. The methods include the angle bisector method, geometrical center method, linear fitting method, determining the circle center by three points, and analog displaying technique. They show quickly and accurately the internal wave parameters in the intelligent system after the magic point is dragged all characteristic points. These characteristic points were in the feature lines, DongSha Atoll, and the crest of the ocean internal wave. The results show that the intelligent system developed by MTB could be used for forecasting parameters of the ocean internal wave such as the propagation direction, the maximum length of the crests, the distance from the DongSha Atoll, and the spacing of the crests.
Keywords: Intelligent System ; Drag Method ; MODIS
Authors: Jaka Sembiring; Aciek Ida Wuryandari; Adang Suwandi Ahmad; Arwin Sumari
Abstract: Knowledge growing is one of intelligence characteristics possessed by human brain. In this paper we review some fundamental theories that are appropriate for emulating this kind of intelligence in order to develop an intelligent system in Artificial Intelligence (AI) field, called brain-inspired Knowledge-Growing System (KGS). The development of this system is approached from various fields, namely psychological, mathematical, social, and electrical engineering and informatics fields. Based on the review results, we have built this system along with mechanism for growing the knowledge that consists of a model of Human Inference System (HIS), Sense-Inference-Decide and Act (SIDA) cycle, and the mathematical formulation for growing the knowledge called Observation Multi-time Arwin–Adang–Aciek–Sembiring (OMA3S) information-inferencing fusion method. In conclusion, brain-inspired KGS is a cognitive agent which is equipped with knowledge growing mechanism as its intelligent characteristic.
Keywords: Artificial Intelligence;Brain-Inspired KGS;Cognitive Agent;Inferencing;Intelligent System; Knowledge-Growing; OMA3S