Discourse and debate about the photos causes a kind of orientation and conductance in the vision of the viewer that the result of it is the connotations of motion, depth, variety, and escape from the freezing and finally the dominance of the aesthetic over cognitive flow. That is why we are faced with the kind of dynamic discourse that considering the dominance of the Paradigmatic Structure over the Syntagmatic Structure, it has disrupted all predetermined equations and confronts us with a sustainable world that the instability has been located in the center of it. As a result of interaction of two host and guest signs, an incidental system is created that the most important feature of it is the creation (unexpected) that follows the frame aversion principle. Here we have dealt with the case study of photo collection of 18 frames with the woman-centered perspective. In these pictures what attracts the attention of any audience more than anything is the crossing and coexistence between the two preventative and representational worlds.

Geometric Programming is a special type of nonlinear optimization problems. One of multi-objective programming problems encountered in the optimization problem is the multi-objective geometric programming problem. In this study, a method is developed based on Kuhn-Tucker Conditions and Taylor series expansion to solve the multi-objective posynomial geometric programming problems. The results obtained are compared to the results of the weighted mean method used to solve the multi-objective posynomial geometric programming problems.

Usability evaluation methods have gained a substantial attention in networks particularly in Intrusion Detection System (IDS) as these evaluation methods are envisioned to achieve usability and define usability defects for a large number of practical software’s. Despite a good number of available survey and methods on usability evaluation, we feel that there is a gap in existing literature in terms of usability evaluation methods, IDS interfaces and following usability guidelines in IDS development. This paper reviews the state of the art for improving usability of networks that illustrates the issues and challenges in the context of design matters. Further, we propose the taxonomy of key issues in evaluation methods and usability problems. We also define design heuristics for IDS users and interfaces that improves detection of usability defects and interface usability compared to conventional evaluation heuristics. The similarities and differences of usability evaluation methods and usability problems are summarized on the basis of usability factors, current evaluation methods and interfaces loopholes.

Abstract: Electronic spams are the most troublesome internet phenomenon challenging large global companies including AOL, Google, Yahoo and Microsoft. Spam causes various problems some of which, in turn, cause economic losses. To be precise, spams cause traffic problems and bottlenecks whereby limit memory space and computing power and speed. Spams make users spend lots of time on removing them. Various methods have been developed to filter spams including black list, white list, Bayesian classification algorithm, keyword matching, header information processing, investigation of spam-sending factor and investigation of received mails. The present study describes three machine-learning algorithms to filter spams for accurate distinction of spams fromvalid emails with low error and high efficiency by an efficient method using multilayer perceptron model. Some widely used techniques include C4.5 decision tree classifier, multilayer perceptron and Naïve Bayes classifier all of which are used for training data whether in the form of spam or valid emails. Finally, the results are discussed and outputs of considered techniques are examined on the proposed model.