The smart energy management system as a powerful tool is implemented to manage both demands and generation units. The energy management problem in a Microgrid is usually formulated as a nonlinear optimization problem. According to nonlinear and discreet nature of the problem, solving it by a centralized method requires high computational capabilities. In this paper, two distributed energy management system called Alternating Direction Method of multiplier Predictor (ADMM) and Corrector Proximal Multiplier (PCPM) have been investigated in order to jointly schedule the central controller as well as local controllers. The algorithms consider optimal power flow equations within the distributed energy management problem. The proposed distributed algorithms have been investigated on a typical MG and the efficiency of the algorithm has been evidenced through case studies. Simulation results show that the proposed method decreases the operational cost of MG. Also, the results evidenced that the ADMM has been converged faster and provided a lower operation cost if compared to the PCPM.

Purpose: The purpose of this applied research is to study the effectiveness of gamification on corporate training.  Methodology: A gamified course was designed and implemented to train the location of Fire Hosing Cabinet for 24 employees of a firefighting maintenance company in Iran Mall shopping Center in Tehran. Using a quantitative quasi-experimental research plan (post-test only control group design) the participants of the study were randomly assigned to treatment (12) and control (12) groups and trained for a week.  Conclusion: The descriptive and interpretive result of the posttest analyses indicated the effectiveness of gamification of the training performed for the employees of the firefighting maintenance company in Iran Mall shopping Center in Tehran. Moreover, the descriptive result of Gamification Acceptance Questionnaire answered by the members of the experimental group after gamified training indicated that all the participants in the experimental group were satisfied with the gamified training course.

The right to command has a direct relationship with how it is implemented in the organization, so that if the commands are issued but not implemented, the organizational performance is reduced. This study was conducted to provide a dynamic model for development of staff reception area and is an applied and descriptive-causal study with a mixed approach. The research community is Iranian Public Agencies. After extracting the factors, in two stages using the available sample method, the opinion of 50 experts has been used. In the first stage using interviews, the causal model is designed and in the next step, Delphi technique was used to reach the experts' agreement on the parameters of the flow model. also, a questionnaire was used to collect data to identify the current situation and its validity was confirmed by experts and its reliability was confirmed by Cronbach's alpha (0. 78). data are analyzed in the form of scenario writing based on the systems dynamics approach and using Vensim. Finally, "increasing commander acceptability with behavioral improvement" was identified as the best scenario and the "improvement of commander characteristics" scenario was identified as a weak scenario. Based on the results, emphasizing the behavioral competencies of managers in their selection can have a Significant impact on development of employee reception area.

Weapon target allocation (WTA) is a command and control main components. In this process, the critical time-based decisions often is made under uncertainty. In this paper attempt has been made to propose a realistic approach to WTA problem. We consider a multi-stage weapon target allocation with multiple criteria including: Minimizing the expected total value of surviving targets, minimizing the military resource costs and minimizing the allocation risks. In the following study to develop a more realistic weapon target allocation model, we have tried to bring almost all ignored constraints such scarcity of weapons, technological, atmospheric/geographical (e. g. terrain) and structural limitations into account. Finally Non-dominated Sorting Genetic Algorithm-II (NSGA-II) has been used for solving multi-objective WTA problem and a Pareto optimal front for the model is depicted. Comparison of the calculated solutions (from the point of quality and speed of calculation) with those provided with expert commanders, suggests that the Modelling and solving method have been successfully designed and match the application greatly.

Background and Aim: When using improper recording materials during the fabrication of dentures, the whole process could be compromised in spite of the precision administered during the rest of the procedure. The aim of this study was to compare the flow of Pars Wax, Azardent, Crystal and Asia Wax with the Dental Modelling Wax Detry (Manufactured in Dentsply) according to standard indices of ADA, specification no. 24.Materials and Methods: All flow tests were conducted in accordance with the corresponding ADA specifications. Two samples of each wax (10 mm wide x 6 mm heigh) were prepared. A force of 19.6N (2kg) was applied on each specimen at three different temperatures: 23, 37 and 45°C. The geometric changes were accurately measured with a micrometer and compared to those obtained prior to the tests. The ratios of the dimensions after force application to the initial dimensions were determined. Based on these ratios, wax flows were compared to standard indices. Results: The amount of flow at 23°C and 45°C, obtained for all studied waxes was in accordance with the corresponding standard values, proposed by ADA. However, at 37°C the flow of none of the studied waxes was in the range of the ADA standards.Conclusion: Considering that the tested waxes demonstrated conflicting results at different temperatures when compared with the standard values, further investigation using different batch numbers is suggested.

Background: Significant Caries Index (SiC) has been introduced by WHO for evaluation of caries status in different societies and assesses one third of individuals who have the highest score of DMFT/dmft. The aim of this study was to determine Significant Caries Index and dmft in 6-year-old children in Kerman.Methods: This cross- sectional study was carried out on 300 children aged 6 years old that had been selected by multistage sampling in Kerman, Iran. Data were collected through a questionnaire (parents’ educational level, parents’ occupation, birth rank, number of children in family, tooth brushing frequency, use of fluoride mouthwash and dental visits frequency).Teeth were examined by dental mirror and according to WHO criteria for determining dmft.Data were analyzed in SPSS19 by using t-test and X2 test.Results: Mean dmft index was 4.63±2.41 and mean SiC was 7.34±1.34. SiC was higher in boys, but without aSignificant difference. dmft showed Significant difference with fathers’educational level (P=0.028), frequency of tooth brushing (P=0.004) and using fluoride mouthwash (P=0.001). There was a Significant relationship between SiC index and using fluoride mouthwash (P=0.014) and dental visits) P=0.041).Conclusion: According to the results of the present study, dmft and SiC indices of 6-year old children in Kerman are high.

Introduction: Dental caries is the most common infectious and transmissible disease of the teeth. Significant Caries Index is one of the indices defined by WHO to identify individuals who have the highest DMFT (Decayed, Missing, Filled teeth). The aim of this study was to evaluate DMFT index and Significant Caries Index in 12-year-old male students in Sirjan.Materials and Methods: In this cross-sectional descriptive-analytical study seven hundred 12-year-old students from Sirjan, selected by systematic cluster-randomized sampling, were evaluated. Data were collected by examination and a questionnaire. The teeth were examined with a blunt-tip dental explorer, a dental mirror and illumination by torchlight. The questionnaire consisted of questions on parents’ educational level, birth rank of the student, number of children in family, tooth brushing frequency, fluoride use and dental visit status. Data were analyzed with SPSS 16 using t-test and one-way ANOVA (a=0.05).Results: The mean of DMFT and SiC indices were 3.56±2.34 and 6.04±1.32, respectively. There were Significant relationships between DMFT index and the number of children in the family (p value=0.016), birth rank (p value=0.042), tooth brushing frequency (p value=0.000) and fluoride use (p value=0.042). However, there were no Significant relationships between DMFT index and parent’s educational level (p value=0.047) and dental visits (p value=0.198).Conclusion: The means of DMFT and SiC indices in 12-year-old students in Sirjan were higher than standards defined by WHO. Furthermore, the number of children in the family, birth rank, tooth brushing frequency and fluoride use had Significant effects on dental caries in students.

Resources/reserves classification is crucial for block model creation utilised in mine planning and feasibility study. Selection of estimation methods is an essential part of mineral exploration and mining activities. In other word, Resources classification is an issue for mining companies, investors, financial institutions and authorities, but it remains subject to some confusion. The aim of this paper is to determine a Resources classification for a Cu block model generated by an Ordinary Kriging (OK) and a Concentration-Volume (C-V) fractal Modelling based on estimated variance in Eastern Kahang Cu-Mo porphyry deposit, Central Iran. Variography, block Modelling and cell declustering for dataset with respect to Cu concentrations as the main target in this deposit were conducted firstly. Then, Cu distribution model was carried out by the OK and estimated variances were calculated for all voxels. According to a C-V log-log plot, three populations for estimated variances were detected. ‗ ‘ Measured‘ ‘ Resources contain voxels with estimated variances lower than 0. 08 and more than 7 samples. Estimated variances varied between 0. 08 and 0. 24 in which more than 3 samples were engaged for estimation of ‗ ‘ Indicated‘ ‘ Resources. ‗ ‘ Inferred‘ ‘ Resources include estimated variances over 0. 24 which are located in marginal parts of this deposit. Results derived via this study reveal that the C-V fractal Modelling can be used for Resources classification in different ore deposits.

Due to the stochastic nature of wind energy, allocating an appropriate investment incentive for wind generation technology (WGT) is a complicated issue. We propose an improvement on the traditional incentive, known as capacity payment mechanism (CPM), to reward the wind generators based on their performance exogenously affected by the wind energy potential of the location where the turbines are installed, and therefore, lead the investments towards locations with more generation potential. In CPM, a part of investment cost of each generator is recovered through fixed payments. However, in our proposal, wind generators are rewarded according to dynamic forecasts of the wind energy potential of the wind farm where they are located. We use an auto-regressive moving average (ARMA) model to forecast the wind speed fluctuations in long-term while capturing the auto-correlation of wind velocity variation in consecutive time intervals. Using the system dynamics (SD) Modelling approach a competitive electricity market is designed to examine the efficiency of the proposed incentive. Performing a simulation analysis, we conclude that while a fixed CPM for wind generation can decrease the loss of load durations and average prices in long-term, the proposed improvement can provide quite similar results more efficiently.

The local community is a complex socio-economic system, and its ability to function for an indefinitely long period of time (viability) is not investigated sufficiently today. The purpose of the research was, using the cognitive mapping, propose to the local community management developing their own management strategies to ensure its viability. Considering the weakly structured subject area of resource management for the viability of the local community and the complex dynamic nature of socio-economic processes, fuzzy cognitive reflection was suggested as a tool that provides opportunities for modeling the inherent complexity and uncertainty associated with socio-economic systems. This research shows a system of relations between concepts in the form of a causative network – a cognitive map of the resource management of a local community and proposes scales for measuring the concepts. During the simulation experiments, managed, indirectly managed and unmanaged Resources for the viability of a local community were defined. In modeling, own income per inhabitant has been chosen as the target concept and as an indicator of the potential of an independent choice of direction for the development of the local community with the view toward the construction of resource management scenarios for the local community’ s viability. As a result of the simulation, there were proposed some strategies for the growth of ‘ own income per inhabitant’ and some recommendations were given for building management scenarios within these strategies.