C4I JOURNAL
Year:2021 | Volume:5 | Issue:2|Papers Count:6

Logistic considers all functions of checking, researching, requirement in the field of facilities, machines, tools, instalation and all the actions which is in relation with supply, Production, maintenance, warehousing, distribution, transportation and making decision. One of the important topics of study in the past decades which as a lot of usage in transportation systems is vehicle routing problem. This is the basic problem in distribution management. In this research kinds of vehicle routing problem problem have been presented in the field of merchandising, therfore a new mixed integer linear programming model is presented by objective maximizing covering emergency demands. In this research, the main topic is concentrate on different methods of solving Vehicle Routing Problem that consist Heuristic and Meta-Heuristic. For validated the presented model, it coded in the GAMS software and an example which is generated has been solved with this software. In the continue to present efficient results an approach has been designed to solved mixed based on simulated annealing algorithm and neighborhood search. In the end, efficient present presented algorithm has been shown in the study of some benchmark.

Virtual social media is a new capacity that has changes the conditions of geopolitics in relations between countries and nations. This media has affected life in its many dimensions: political, social, economic, cultural, defense, security, and also international relations, while behavioral models have also simultaneously undergone transformation. Today, a large portion of the function of virtual media takes place on internet, mobile, social media, and messengers. The main goal of this article is to discuss the concept of “ national branding” , taking into consideration the policies enacted on maintaining the upper hand, mainly in terms of developing Iran’ s cyber capabilities on a global scale, their effect on national interests, in order to gain influence in the Arab world by way of virtual media. In terms of its goal, this is an applied developmental study, of a descriptive nature, using a grounded – case study method (using a mixed approach) and sources from both fieldwork and libraries. The sample size includes 50 experts and pundits on cyberspace and international relations, from Iran and Arab countries. After distributing the questionnaire and receiving the answers by way of SmartPLS, the data was analyzed. The results of this study led to the identification of the dimensions, elements, and indicators of eight components: governance, politics, culture, society, economy, creed, technology, and security/defense, and organized them into the three levels of infrastructure, intelligence, and identification that pertain to virtual media. In the end, the model of choice was a strategic model, using a branding approach based on national interest. In the final model, the betterment of Iran’ s national branding in the Arab world was shown to lie in a dynamic model that takes into consideration the surrounding conditions, the effects of different processes, technological advances, and their impact. This model was well-received by experts in professional meetings.

Today, organizations, especially network-based organizations, face new types of risks due to constant turmoil and changes in their business environment. Failure to effectively manage these risks over time will have a negative impact on their performance as well as their success. In such situations, organizations must use new tools and methods to solve the risks of their work environment. One of the effective methods in this field is the application of knowledge management in various processes of the organization, including risk management. Accordingly, the present article seeks to investigate the possibility of applying knowledge management processes in management processes with a system dynamics approach and presents different scenarios resulting from the integration of knowledge and risk management to reduce risk at the level of network-based organizations. is. In order to achieve this goal, by reviewing the literature and reviewing the documents, first the key variables of knowledge management and risk management have been identified and based on this, dynamic model hypotheses have been developed. In the following, the cause-and-effect diagrams and state-flow diagrams and equations related to the relationships of the model variables are extracted. Finally, after testing and simulating the dynamic model using Vinsim software over a period of 12 months, different scenarios are proposed for application. The results show the selected improvement scenarios in the variables related to the risk management process using knowledge management.

One of the tools of artificial intelligence is the adaptive neural-fuzzy inference system (ANFIS), which is used in this article to build an intrusion detection system and we call it the neural-fuzzy classifier. The Intrusion Detection System based on ANFIS is an anomaly based intrusion detection system that uses fuzzy logic and neural network to detect if malicious activity is taking place on a network. This paper describes the architecture of the ANFIS and its components. The sample fuzzy rules are developed for some kinds of attacks and the testing results with actual network data are described. Our experiments and evaluations were performed with the NSLKDD intrusion detection dataset which is a version of the KDD Cup99 intrusion detection evaluation dataset prepared and managed by MIT Lincoln Laboratories. Finally, this paper tries to show the efficiency of the designed model by examining the performance of the "neural-fuzzy adaptive inference system" model on a standard and comprehensive set.

In this study, quantum sensors and in particular quantum radars have been studied as one of the new technologies that can be used to significantly improve command and control systems. The concept of quantum entanglement and its application in quantum illumination technology in these sensors is considered as a quantum standard for improvement new command and control systems in the field of detection, data collection and reducing the limitations of common remote sensing tools. Also, the performance of quantum radars with non-entangled and entangled signals in quantum radars is compared and analyzed with the capabilities of classical radars, and the results are presented.

Resource challenge is one of the existing challenges in intrusion detection systems in internet of things. It includes limited access to resources and also high resource consumption problem. To overcome this challenge, some researches focused on optimized enabling of IDSs. In this way, defender-attacker relation is modeled as a game, using game theory, and then, defender node decides about amount or time of its IDS enabling. However, in previous works, the game consists of one defender and one attacker as players and defender-defender relation is ignored. In this research, we provide a method for modeling intrusion detection in IoT using Partnership game, in which our concern is defender-defender relation. In this method, defender node tries to make best choice about amount of its IDS enabling, considering revenue from securing network, cost from consuming resources, and also other defender nodes behavior in the game. Finally, we demonstrate that using this model, defender nodes can decrease their resource cost, cooperatively and rationally.