نشریه سیستم های پردازشی و ارتباطی چند رسانه ای هوشمند
پیاپی 2 (زمستان 1399)

This research proposes an approach to heal the gap between classical acquisition of relevant fundamental knowledge and development of higher order thinking and 21st century competencies to process, analyze, and create knowledge. It builds upon the existing knowledge-based on student engagement pedagogies in higher education combined with the challenges and opportunities provided by the Covid-19 pandemic. It proposes an approach to heal the wounds of one-size fits all learning pedagogies and an educational pathway to enhance relevancy, diversity of student body, and graduation rate while maintaining quality of acquiring classical factual knowledge. Moreover, there is test anxiety and fear of failure that has severe adverse academic and social impact, especially with first generation college students. To this end, there is the ever-growing awareness in academia that traditional exams and grading practices are barriers to meaningful student learning. Hybrid education and learning (HEAL) uses grading to help put students at the center of their learning and lift them up to succeed. Recognizing these chronic higher education challenges and opportunities, a hybrid effective and economical plan for truly student-centered university is presented - Hybrid Education and Learning: HEAL.

Dealing with cyber threats threats means protecting the material and intellectual property of information in all domains and prevention of abuse. Therefore, protecting information from such threats is an important issue without disturbances in development and development. this issue has now become an important issue, as it is now the most serious challenge for governments to deal with cyber - threats. this area has many approaches to provide cyber - security, one of these approaches is the preventative defense that protects the organization's information.This paper reviews a series of reference architectures and model in cyber - security and provides a new model based on the best practices of each model. The frames and the assessed standards include the NIST framework, the ISO 27,000 and CERT standard. Prevention model is an intervention method for the likelihood that the risks have taken place. The proposed model consists of four levels, implementation phases, implementation phases, described in proposed architecture, layers, and programs, and has been proposed in the proposed phases of phases and operations. In the end, based on the need for a preventive model that is never presented And only NIST processes explained.

This paper investigates a way to stream online videos using sdn / nfv that can help to reduce latency and packet loss and cost. This method reduces Capex and Opex costs due to its software and low hardware dependency. Software-centric networks and virtualization of network functions have been introduced in the computer networks arena as a new way to design, deploy and manage network services. Those can provide more flexible and more flexible and adaptable to the consumer and provider according to the needs of end users and service providers to consolidate and deliver network components using standard IT virtualization technologies. This paper presents the architecture and prototype of a video streaming service compatible with SDN / NVF-enabled networks, allowing simplified networking and applications and reduced management costs. . In such a way, the proposed solution enables small / medium and unusual content providers to share events with a limited number of interested users without having to adopt a special and expensive delivery infrastructure. The execution method is as follows: first we introduce the desired structure to the emulator through java programming and then we determine the simulation conditions. This software performs the simulation and creates the necessary outputs for us and then compares the results with other methods and the result shows an increase in efficiency compared to other methods.Keywords: Software-Defined Networking (SDN), virtual network functions, CloudSim, virtual simulation, video streams, service performance chain, virtualized network function.

Data management provides a tool that the organization information needs is answered based on that properly. The most important issue in business intelligence is data quality. Data quality can guarantee data cleaning before uploading it to the data warehouse. Data cleaning is a procedure which includes the process of errors detection and correction and inconsistencies in the data warehouse. Because of the huge number of data in databases many problems and contradictions have been emerged. The main goal of this study is to remove inconsistencies in the databases in order to clean up the dirty data. A new approach with the purpose of improving the quality of data warehouse for correct decisions is provided. For testing the proposed approach, data collection of student health certificate were used. Through the implementation of this approach we have been able to detect dirty data and then with using students national code, the correction process were applied to them. Based on the achieved results, the amount of dirty data decreased from 25.79 percent to 4.97.

In this study, the effect of electronic advisory stimulus (quality of reasoning, value, consistency and volume) on the acceptance of mobile banking and initial trusts among Parsian banks in Tehran was investigated. The present study uses correlation method based on post-event observations and regression analysis of a kind of structural equations to predict the relationship through a set of independent and mediated changes. The statistical population of the study includes Parsian Bank customers. To collect data, a questionnaire was designed among private banks and the sampling method was a simple cluster random sampling and the number of samples was 506. The software used in this study was a laser. The results show that Parsian Bank's mobile banking acceptance increases value, compatibility and engagement by strengthening the quality of argumentation of electronic recommendation stimuli, but the volume of comments does not affect mobile banking acceptance. Also, Parsian Bank's trust increases through increasing consumption, quality of argumentation of electronic recommendation stimuli, value, compatibility and volume of comments. The quality of the rules of e-recommendation stimuli, initial trust, value, volume of feedback and compatibility also increase through consumptionIn this study, the effect of electronic advisory stimulus (quality of reasoning, value, consistency and volume) on the acceptance of mobile banking and initial trusts among Parsian banks in Tehran was investigated. The present study uses correlation method based on post-event observations and regression analysis of a kind of structural equations to predict the relationship through a set of independent and mediated changes. The statistical population of the study includes Parsian Bank customers. To collect data, a questionnaire was designed among private banks and the sampling method was a simple cluster random sampling and the number of samples was 506. The software used in this study was a laser. The results show that Parsian Bank's mobile banking acceptance increases value, compatibility and engagement by strengthening the quality of argumentation of electronic recommendation stimuli, but the volume of comments does not affect mobile banking acceptance. Also, Parsian Bank's trust increases through increasing consumption, quality of argumentation of electronic recommendation stimuli, value, compatibility and volume of comments. The quality of the rules of e-recommendation stimuli, initial trust, value, volume of feedback and compatibility also increase through consumption

The Internet of Things(IoT) is a new concept on the IT industry that develops a new future of internet through combining users ,computational systems and all daily things. The problem is that the actual development of these services requires enhanced levels of security and confidentiality. The data encryption is most common method to ensure the confidentiality of information during data transmission. In this article first the challenges facing IoT security, including the vast amount of information and communication between systems hardware, along with security challenge are addressed. Then reviewing and explaining the common AES128 encryption method used in IoT protocols the present dissertation performs the process of upgrading the method to the highest level of security of this algorithm, i.e. AES256, along with implementing and simulating its performance on a data packet. The results of this upgrade and production of the desired outputs were used to analysis and compare the proposed method by using MATLAB software.