Robust Video Watermarking Based On 3D-DWT Domain.

The digital watermarks have recently been recognized as a solution for protecting the copyright of the digital multimedia

Determinant of Resistance for ERP system in Private Companies in Yemen

In fact, ERP system has become required for many organizations particularly those organizations that have foundations in different countries. Recently, some organizations in Yemen have adopted ERP system but the usage of this system failed as it faced user resistance. Hence, the prime concern of this study is to investigate the resistance factors of Enterprise Resource planning from user perspective not organization or technical perspective to specify the basic reasons for user resistance to successfully adopting ERP system. Four factors are examined their association with adopting ERP. These factors are user training, resistance to change, user expectation, and system usage. A questionnaire was distributed to 200 of ERP end users. Linear regression analysis program was used to analyze the data and examine the relationship between user’s resistance factors and ERP adoption. The result shows that each of user’s training, resistance to change and system usage has a significant relationship with ERP adoption, However results show no relationship between user expectation and ERP adoption. This paper benefits management in organizations by providing the factors that contribute to adopt ERP system. Keywords: ERP adoption, User resistance, User’s training, Resistance to change, System usage

Robust and imperceptible digital video watermarking techniques.

Pengeluaran bahan video dan imej yang banyak dalam sistem berperantaraan komputer di Internet telah memberikan cabaran besar dalam bidang perlindungan hak milik. Banyak cetakan yang tidak sah telah dibuat dan usaha untuk membuktikan perlindungan hak milik terpelihara terhadap bahan media berkenaan adalah satu tugas yang mencabar. The massive production of image and video materials on the Computer Mediated Systems (CMS) over the Internet has created a challenge in the area of copyright protection. Numerous illegal copies have been made and efforts on proving the owner copyright of those media are indeed a challenging task

AUTO-ADAPTIVE THE WEIGHT IN BATCH BACK PROPAGATION ALGORITHM VIA DYNAMIC LEARNING RATE

Abstract Batch back propagation (BBP) algorithm is commonly used in many applications, including robotics, automation, and global positioning systems. The man drawbacks of batch back propagation (BBP) algorithm is slow training, and there are several parameters needs to be adjusted manually, also suffers from saturation training. The objective of this study is to improve the speed uptraining of the BBP algorithm and to remove the saturation training. To overcome these problems, we have created a new dynamic learning rate to escape the local minimum, which enables a faster training time. We presented dynamic batch backpropagation algorithm (DBBPLR) which training with dynamic learning rate. This technique was implemented using a sigmoid function. The XOR problem, the Balance dataset, and the Iris dataset were used as benchmarks with different structures to test the efficiency of the dynamic learning rate. The real datasets were divided into a training set and a testing set, and 75 experiments were carried out using Matlab software2016a. From the experimental results, it can be shown that the DBBPLR algorithm provides superior performance over the existing BBP algorithm in terms of training, the speed of training, time training, number of epochs and accuracy training and also with existing work