Abstract With the rapid development of computers, internet, social media and networks, and other digital multimedia technologies, it is needed to use a mechanism that can predict the needs and desires of users and recommend the bests for them. Introducing the social networks’ information into the traditional collaborative filtering (CF) algorithm, the essay studies the changes of user preference in social networks. Recently a... With the rapid development of computers, internet, social media and networks, and other digital multimedia technologies, it is needed to use a mechanism that can predict the needs and desires of users and recommend the bests for them. Introducing the social networks’ information into the traditional collaborative filtering (CF) algorithm, the essay studies the changes of user preference in social networks. Recently a lot of research efforts have been spent on building recommender systems by utilizing the abundant online social network’s data. This paper proposes an improved collaborative filtering algorithm based on fuzzy logic and Social Network Information. The proposed method enhances the accuracy of recommendations by combining the social tags, fuzzy logic and social networks’ information such as friendship and groups’ membership. Through the experiment, the improved algorithm has higher accuracy than the traditional filtering algorithms in the top-N recommendation list. It proves that the social networks’ information of users can affect the user’s preference. Read More Read Less

Abstract According to authorities, problems in organizations arise from the fact that employees have difficulties creating a well-defined and understandable process. Process documentation is a way to visualize organizations’ processes that can be simulated and modified for maximum efficiency. Typically, processes are fragmental, nameless, and invisible phenomena that result in difficulties creating process documentation. In the software engineering field, unfortunately, efforts to document processes often... According to authorities, problems in organizations arise from the fact that employees have difficulties creating a well-defined and understandable process. Process documentation is a way to visualize organizations’ processes that can be simulated and modified for maximum efficiency. Typically, processes are fragmental, nameless, and invisible phenomena that result in difficulties creating process documentation. In the software engineering field, unfortunately, efforts to document processes often end up in voluptuous volumes of verbosity. Little previous research has been conducted in the specific area of process documentation, but research has been conducted in the wide areas of process management and business process management. The focus of this paper is on system documentation as a type of process documentation oriented toward explaining how to do a process. We utilize a new diagrammatic language as a foundation for process documentation. Examples are given from computer manuals and captured from actual processes. The resultant description seems to provide a viable approach in process documentation. Read More Read Less

Abstract In this paper we present a Diffie-Hellman key exchange implementation using stéganographied images. The Diffie-Hellman key exchange requires the use of digital signature or creating a secure channel for data exchanging to avoid the man in the middle attack. But the using steganography made invisible the data exchange to a potential attacker. This approach has never been proposed and allowed us to generate... In this paper we present a Diffie-Hellman key exchange implementation using stéganographied images. The Diffie-Hellman key exchange requires the use of digital signature or creating a secure channel for data exchanging to avoid the man in the middle attack. But the using steganography made invisible the data exchange to a potential attacker. This approach has never been proposed and allowed us to generate a symmetric 128-bit key between two users without use of digital signature or secure channel. However, it works only on bitmap images, heavy images and sensitive to compression. Read More Read Less