Islamic Azad University, Naragh Branch

Trust is recognized as a vital component in ensuring secure and stable interactions within Social Internet of Things (SIoT) networks. This study introduces an advanced model for simulating multidimensional trust relationships in SIoT, which is designed based on Watts–Strogatz (WS) random graphs and successfully reproduces the real topological features of SIoT networks with high fidelity. The proposed model incorporates a variety of relationship types such as Co-Location-Based Relationships (CLOR), Ownership-Based Relationships (OOR), Social Relationships (SOR), and Popularity-Based Relationships (POR), and integrates key attributes including spatial density, interaction frequency, owner reliability, and co-presence time to deliver a flexible and scalable structure. Analysis of the results indicates that the model performs significantly well in replicating topological metrics such as average path length, clustering coefficient, and average degree. For instance, in OOR and SOR graphs, the clustering coefficients reached values of 0.9 and 0.7 respectively, and in the CLOR graph, the average path length was limited to 2.4. Furthermore, in the POR graph, the average degree was consistently maintained at a stable value of 120. A comparison between the proposed model and traditional models such as Erdős–Rényi (ER) and Barabási–Albert (BA) graphs reveals that the use of advanced random graphs alongside the integration of additional trust-related features significantly enhances the accuracy, flexibility, and analytical capability of SIoT network behavior. In addition, the application of gradient descent-based optimization algorithms for fine-tuning model parameters ensures the efficiency and structural balance of the model, thereby positioning it as an effective and scalable solution for the analysis and development of Social Internet of Things networks.

In this paper, a novel and highly efficient inexact Full Adder cell by exploiting two logic styles including conventional CMOS (C-COMS) and pass transistor logic (PTL) are presented. The so-called carbon nanotube field-effect transistor (CNFET) technology is used to implement circuits at the transistor level. To justify the efficiency of our design, extensive simulations are performed at the transistor level as well as application level. Transistor-level simulations which are carried out by the HSPICE 2008 tool, demonstrate at least 12% higher performance in terms of power-delay-area product (PDAP) of the proposed circuit compared to the latest designs. At the application level, by using the MATLAB tool, inexact Full Adders are employed in the structure of the ripple carry adder (RCA) that is applied in motion and edge detection algorithms. Computer simulation results confirm the appropriate quality of the output images in terms of the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) criteria. At last, to make a compromise between hardware and application level parameters, the power-delay-area-1/PSNR product (PDAPP) and power-delay-area-1/SSIM product (PDASP) are considered as figures of merit. The proposed circuit shows remarkable improvement from the PDAPP and PDASP points of view compared to its counterparts.

The fission fragment total kinetic energy TKE(A) was calculated for neutron-induced fission of 229,232Th using the scission point model. The calculated results were compared with the available experimental data to obtain the parameters of the scission point model. With these parameters, the total kinetic energy distribution was evaluated for neutron-induced fission of Thorium isotopes. The deformation parameters of the Thorium isotopes were discussed at the scission point.

In this chapter, a brief description of the requirements of a hydrogen storage system is given. The weak interaction of hydrogen within pores (sites) needs to be understood in order to design and develop porous materials for hydrogen sorption. The measurements are based on the amount of hydrogen adsorbed as a function of pressure, temperature, the enthalpies of adsorption, and the adsorption/desorption characteristics (Thomas in Hydrogen adsorption and storage on porous materials. Catal. Today 120:389–398, 2007).

Introduction: According to an article of Hsu et al the relation between the variables in general and analytical model of research. Four variables of human, financial, commercial, cultural, or institutional resources have been studied.Methods: The study used a descriptive method of mathematical modeling and in terms of purpose, it is applied. At first, studying the records of the plan and then working on the main theme of the thesis are considered.Result: The results showed that in human resource part, sub-factors of the college quality; in financial resources, the sub-factor of industry; in Commercialization, the sub-factor of patent portfolios; and in cultural resources, the sub-factor of incentive policies were the top priorities.

Alborz Steel Company to survive needs the reality-based management which analyze all opportunities and threats, strengths and weaknesses of organization. Due to the successes and importance of reality-based management in the event of providing the required background for the most effectiveness of human resources in this company, this research in purpose of determining the effect of reality-based management on the effectiveness of human resources in Alborz Company considered to collect and survey the ideas of the sample include 54 persons among managers and experts of Alborz Company with more than three years work experience.Methodology:Presented research can be counted as kind of descriptive survey researches in terms of grouping the researches based on data collection method. And also according to grouping the researches based on purpose, presented research is in group of applied research. Methods of collecting information are both library and field methods. For collecting the data related to the literature of subject and research background library studies were used. At field method questionnaire was used to collect data as the instrument. In section of data analyzing the data, the data had obtained from performing the questionnaires were analyzed in two descriptive and inferential sections using the SPSS software. In descriptive section the operation related to demographics information of people in sample was done through the SPSS software. Tables and charts include mean, frequency, cumulative percentage, and … also were used in that section. In inferential section, first the Kolmogorov-Smirnove test was used in order to survey the population distribution. Testing the research hypotheses were done by correlation and non-linear regression tests.Results:After collecting data and analyzing their findings, all minor hypotheses were accepted and also research main hypothesis were tested and accepted,so it can be said that: the reality-based management effects on effectiveness of human resources in Alborz Steel Company. Conclusion:Finally, it is suggested; giving any kind of financial reward or acting increases in salaries and wages of employees according to result of evaluation of employees' performance or observing expected behaviors during the specific period (preferably long time), and using the plans like "reward plan".

Hybrid nanofluids are made of a base fluid and at least two different types of nanoparticles. The main purpose of using hybrid nanofluids is that they have better thermophysical properties comparing to that of nanofluids with single nanoparticles. In this paper, a comparison between water-silver-magnesium oxide hybrid nanofluid and water-silver nanofluid’s influence on the flow field, heat transfer and entropy generation in an enclosure with rotating heat sources have been investigated. The study has been done for a Grashof number of 104 , a Richardson number from 0.3 to 100 and for volume fractions of 0 to 0.01 of nanoparticles. The governing equations are solved numerically using the finite volume method and the SIMPLER algorithm with a computer program using FORTRAN programming language. The results show that in all of Richardson numbers with the increment in volume fraction of nanoparticles, the maximum size of the flow function has been reduced. For all of the investigated Richardson numbers and water-silver nanofluid and water-silver-magnesium oxide hybrid nanofluid with an increment in volume fraction of nanoparticles, the maximum size of the flow function has been reduced. The maximum values of the flow function for conventional nanofluid are greater than for hybrid nanofluid. The increment of the Nusselt number with increasing the volume fraction of nanoparticles in conventional nanofluid is more sensible comparing to hybrid nanofluid. Also with increasing the volume fraction of nanoparticles, the friction and thermal entropy generation is more sensible in conventional nanofluid comparing to hybrid nanofluid.