Erosion of riverbank edges is one of the major concerns of the hydraulic engineers. Using spur dikes is one of the methods which help to control and reduce the erosion. In the present study, the Location of the spur dikes in the riverbank was optimized numerically using the FLOW-3D numerical model. Comparison of the numerical and experimental results showed a good agreement between them. In addition, the level of riverbank protection was also studied in the present study considering six different spur dike Locations. The results showed that by changing the Location of the spur dike toward downstream, the spur dike in the Location with a dimensionless ratio of d/L=1. 834 (the spur dike located 66 cm away from the Base beginning) protected a greater riverbank area against erosion. The spur dike in the mentioned Location decreased the riverbank erosion in the cross-section and in the longitudinal section by 21. 65% and 17. 12%, respectively.

Today, Location recommender systems have made it possible to analyze and recommend Location Services for different users. The ability to personalize the provision of Services to various system users has increased the applicability and efficiency of such systems. The personalization of recommendations in the field of sports venues is one of the urban Services that can be very effective in increasing the level of health of citizens and society. The purpose of the current research is to design a personalized knowledge-Based recommender system so that people can receive the most suitable and optimal positions for receiving sports Services Based on their needs and conditions. In order to implement the proposed plan, different people were clustered Based on their characteristics and personal conditions with the help of the self-organizing neural network algorithm, and in order to model the uncertainty, the preferences of the elderly were entered into the intuitive fuzzy inference engine and a clear and accurate output was obtained and given to the user. In this research, the knowledge recommender system has been designed as a personalized basis for providing sports recommendation Services so that citizens can receive the most appropriate and optimal Services Based on their needs and conditions. In order to implement the proposed plan, the characteristics and personal conditions of people were obtained Based on various online questionnaires and Based on the unsupervised neural network of self-organizer mapping, people with similar characteristics were placed in specific groups, and in this way, and the basic knowledge Base for the recommender system was created. Finally, through the descriptive combination of the obtained outputs from the information of the users, optimal positions have been extracted for recommending and displaying the output of the system on the map, Django library, which is a web-Based programming platform, has been used. From the Open-Layer Location library and J-Query library, the desired Location should be shown on the OSM map as a map under mobile. After that, through the designed user interface, the personal characteristics of the people are received, then, the individual cluster is determined, and in order to model the uncertainty, the information received from the citizens is entered into the fuzzy inference engine of the second type. The outputs obtained from the designed algorithm will be displayed as a set of positions and the user can see its position on the map by selecting any of these positions. Then, an explicit and accurate output of the user's preferences has been achieved and a recommendation is made from the inflectional combination of the outputs obtained from the two designed sections, and suitable outputs are recommended to the user. Finally, the system was evaluated Based on three parameters: accuracy (0. 74), sensitivity (0. 81), and F-Score (0. 77), and the results indicate a good and acceptable performance of the system.

One of the topics that are always disputed by the structural engineers in the design of the buildings with underground stories is the Location of the Base level. Regardless of the complex approach of considering the interaction of soil and structure, generally most guidelines propose a qualitative approach to determine the position of the Base level. Unfortunately, this qualitative approach is generally binary and proposes only two Locations for the Base level: on the top of the foundation or on the top of retaining wall. But in tall buildings or buildings with a significant number of Basements, this binary qualitative approach can create a significant difference, even in the design of upper stories. In this article, an alternative practical solution has been proposed to obtain a quantitative method for determining the Location of the Base level, using the main concept of the Base level, i.e. where the seismic displacement of the building is insignificant compared to the surrounding soil. The method has been applied and discussed in a real project for the design of a high-rise building in Tehran.

Management in sport Services centers can obtain high efficiency, which attract more audience participation. Higher efficiency is important when offering Services adapted to the needs of the customer and productivity of the organization. The purpose of this study was Services market segmentation of sport private complex Based on customer perception of quality. The Research was conducted by descriptive- survey method. The statistical population was customers of sport complex of Gas national corporate that used Services for 6 months. A survey on 156 users of the Services offered at private gyms. Standard survey of Sport Serve by Theodorakis et al (2001) was used and content validity of that was approved by panel of experts, including 5 university professors in sports management and in this study reliability was 0.95 (p<0.005). For data analysis, the Kolmogorov Smirnov, t independently and T2 Hotelling test were used. To determine and clustering the items of the questionnaire, exploratory factor analysis was used with KMO index and the Bartlett test was used to assess the goodness of fit model. The percentage of variance explained by each factor and the model were used as a predictive index (p<0.05). The results show that the demographic characteristics of age, sex, marital status, number of years of membership, can be used for market segmentation. However, segmenting the number of use at a month and customer income variables were not significant (p>0.005). Thereby, managers would enjoy the benefits of these results.

Esthetic is a natural necessity among all human beings, and the reconstruction of the natural features of prosthesis is considered an important aspect in dentistry. Reconstruction of the natural features in removable prosthesis by characterization of denture Base is one of the most important factors. In this regard esthetic, in removable prostheses, is achieved through different techniques such as: tooth selection and arrangement, designing the denture Base and acrylic Base color. The final goal for all these effects is to achieve a natural appearance for denture. However, other factors such as treatment limitations, different personal needs and general health principles, should be taken into consideration. This article not only reviews the natural appearance of oral mucosa that is replaced by the denture Base, but also discusses about the materials used in tinting acrylic denture Base and their application techniques.

The concept of customer satisfaction has attracted much attention in recent years. With investigation of 267 dual fuel automobile users in Tehran, The factors of satisfaction and loyalty have been tested upon American Customer Satisfaction Index. According to the characters of Customer Satisfaction Index, we transformed this models into multiple regression models to assessing the affects of variables on satisfaction and loyalty. All the hypothesizes accepted. Consequently, the partial least square (PLS) method was used to test the theoretical model.

Load taps, laterals, and sub laterals are different branches of power distribution (PD) networks. In PD systems, reliability indices and their efficiency are improved using an accurate method in fault locating. In this paper, a new combined method for locating single, double and three phase faults to ground is proposed in PD networks. In this article, for finding the possible fault Locations, an impedance Based fault-Location algorithm is used. Then, for determining the faulty section, the new method is proposed using voltage sag matching algorithm. In this method, the possible fault Locations are determined, after occurrence of single and double phase faults to ground, using an algorithm which is impedance Based fault-Location algorithm. Separately, the same fault is simulated in possible Locations. Then, at the beginning of a feeder, the voltage is saved and the amplitude and angle of the voltage differences are determined and accordingly, an online data bank is generated. Then, the obtained and recorded amplitude and angle of the voltage differences (at the beginning of the feeder) is compared with that data bank, for the actual fault. By the matching value of each possible fault Location, the real Location of fault is determined. Compared to the other counterparts, the proposed method is more accurate in locating faults and less sensitive to the fault resistance.