Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concatenated Convolutional Neural Network (CNN) and a Recurrent Neural Network (RNN). The CNN can be used to learn local salient features from speech signals, images, and videos. Moreover, the RNNs have been used in many sequential data processing tasks in order to learn long-term dependencies between the local features. A combination of these two gives us the advantage of the strengths of both networks. In the proposed method, CNN has been applied directly to a SCALOGRAM of speech signals. Then, the attention-mechanism-based RNN model was used to learn long-term temporal relationships of the learned features. Experiments on various data such as RAVDESS, SAVEE, and Emo-DB demonstrate the effectiveness of the proposed SER method.

Background: One of the main and basic pillars of health system promotion is the equitable distribution of health facilities in order to ensure fair access of people in the community to the health services. The goal of this study was to classify the health structural indicators in Golestan Province using SCALOGRAM analysis model.Method: A descriptive study was conducted in 2010. Data related to indicators in 3 categories of institutional, human resources and rural health and their indicators were collected using statistical yearbook. Data analysis was done using SPSS software and SCALOGRAM analysis model.Results: There is large gap between health structural indicators in cities of Golestan Province. Aq Qala City with 97 score and Azad Shahr City with 41 score were the most and lowest scores respectively from enjoyment of health structural indicators. Generally, 18% of cities were in less developed level and only 27% of cities were developed level.Conclusion: To achieve a fair and balanced healthcare status in different provinces based on their state of development, plans should be arranged in order to reduce the gap in the access to healthcare facilities.

Intense centeralization and imbalance are among the features of the third world countries and one considered the consequences of polar growth policy. As a result of this policy, limited number of regions play the key roles and other regions have marginal functions. Lack of balance between rural and urban centers in various fields with regards to social, economic, and cultural aspects has resulted in the disorder of spatial system of settlements on the one hand, and uncontrolled and growing development of first class cities on the other. Immigration caused by this process to first class cities from smaller size cities in return has caused underdevelopment in smaller size cities. As an instance of this process, imbalance of spatial structure of Sistan and Baluchestan province can be mentioned. Polarization of population in Zahedan region as well as centralization of economic activities and social services has resulted in an illogical hierarchy of the rate of settlement. This study hypothesizes that style of polarized planning and the variety of planning used in this region has led to the imbalance of space in the state of Sistan and Baluchestan province. This article makes use of SCALOGRAM model and library documentation together with statistical analysis of data to deal with the issue at hand. Efforts have been made to propose strategies for fighting imbalance in the district of Sistan and Baluchestan.

Drought is a multivariate phenomena that caused by variation in some meteors. In this study, a new multivariable model purposed to monitor wheat drought in Mashhad and Shiraz synoptic stations during 50 years period. Purposed model was designed based on multivariable SCALOGRAM model, with some meteorological variables as inputs such as annual evapotranspiration, number of rainy days and amounts of precipitation in autumn, winter and spring. In proposed model, imperfection of former SCALOGRAM model including threshold levels and weights of meteorological variable were modified. In the new model drought condition will not be determined only based on precipitations amounts, but the other important meteors such as number of rainy days, evapotranspiration and especially time distribution of precipitation is considered. Results showed the modified SCALOGRAM model, is enable to monitor agricultural drought of wheat by considering distribution of precipitation in time and the amount of evapotranspiration.

Introduction: Accessing developmental goals and decreasing regional inequality requires regional planning in developing countries. Therefore, it is important to identify developmental position of regions relative to each other. The aim of this study was to classify Kermanshah province townships about situation of health structural enjoyment indicators using SCALOGRAM Model.Materials and Methods: This is a descriptive study and it determines health structural enjoyment indicators in townships of Kermanshah province. Data related to indicators were collected in 3 categories of institutional, human resources and rural health by the researcher using statistical yearbook. Data analysis was done using SCALOGRAM Model, Excel 2010 and SPSS/18.Findings: There is a large gap between townships of Kermanshah province in terms of enjoyment of structural indicators of health services. Kermanshah and Javanrud Townships with 81 score and Sarpol-e Zahab Township with 39 score were the highest and lowest scores respectively from enjoyment of health structural indicators. Generally, 50% of townships were in less developed and underdeveloped level whereas 35.72% of townships were in developed level.Conclusion: High development was related to manpower indicator and low development was related to rural health institutional indicator. In order to improve less developed indicators and decrease the difference in enjoyment of health services indicators among townships, it is proposed that, development-oriented planning to be carried out appropriately with levels of development in these townships.

Introduction: The expansion of urbanization and the specific issues and problems of urban life has made it increasingly necessary to pay full attention to beneficial strategies to optimize the lives of city dwellers. In this regard, the concept of sustainable urban development as a broad conceptual framework moves towards achieving economic growth and social justice. The study and knowledge of urban areas and analysis of their capabilities and bottlenecks in the urban planning process is very important. Methodology: The main purpose of this study is to assess the development of eleven areas of Shiraz in terms of sustainable urban development criteria "urban and cultural services" in 24 indicators. This research is applied theory in terms of purpose and descriptive-quantitative and analytical in terms of nature and method. The information and data required in this research have been collected using library resources and statistics in 1397. For analysis, first the data is standardized and finally it is ranked using the Morris and SCALOGRAM methods of the eleven districts of Shiraz. Results and Discussion: The results of the study based on the Morris method showed that in terms of urban and cultural services index of regions one and eight with scores of 47. 47 and 42. 13 in the first and second ranks and regions five, four and eleven with scores of 22. 55 and 15. 93. And 12. 52 are in the last place. Also, according to the SCALOGRAM method, regions one and eight are in the first place with 55 and 49 points. Conclusion: The results of this study indicate the existence of a gap between the eleven regions of Shiraz in terms of benefiting from the studied indicators, and among these, region one is ranked first in terms of development due to the political and economic centrality due to the existence of urban facilities.

Background and Aim: Development Goals and reducing regional disparities in developing countries depends on regional planning that is necessary to identify development areas relative to each other. The aim of this study was to assess the benefit of the city of Fars province in terms of health, education, cultural and municipal services is based on 2010 statistics.Material and Methods: The evaluation according to the dominant approach of this research is descriptive and quantitative analysis and the cities ranking and analyzed with SCALOGRAM method that ultimately classified to three levels include: less Developed, Developed and more Developed and the position of each cities was found in terms of development. The study population included 25 Fars cities that are rankings based on 20 indicators. Data analysis was performed based on the SCALOGRAM method.Result: The results showed that and Mamasani and Bavanat cities were in the first level and Zarin dasht and shiraz were in last level in terms of training index. Bavanat, Lamerd and mohr were in first level and Farashband, Firozabad, Kazeron and Zarindasht were in last level in terms of Health Index. In terms of cultural index, Lamerd were in first and Marvdasht, Fasa and Mamasani in last level.Conclusion: The result showed that there is a gap between Fars province cities in terms of benefited indicator monitored and Shiraz city, despite the political and economic center due to the high population, were in less developed level based on SCALOGRAM method.

Recognizing and understanding the differences among rural regions of provinces with regard to their degree of enjoyment from various facilities and services in order to recognize the level of development and deprivation of rural regions, the distance from the determined goals, and to decrease the regional inequalities, to adjust the programs corresponding to conditions and the facilities of rural regions with the goal of balancing the regional developmental level, is an inevitable necessity.In this article the amount of rural regions enjoyment from 67 developmental indexes such as population indexes, educational, hygienic- medicinal, installation- infrastructural, political- official ones, in addition to the share of each index and its effect on development have been considered with the use of SCALOGRAM Method.In this way, the situation of rural regions in provinces in the country's level has been determined from various development indexes. This can help authorities and planners of country's provinces to determine the superiority of various development plans.The results show that there are large differences and separation among different provinces. Mazandaran's rural regions have the best rank with 120 score from the various indexes and Semnan's rural regions have the least rank with 8 score. So it should be noticed that indexes developmentally have no suitable situation in development plans.

The importance of health indicators in the recent years has created challenges in resource allocation. Balanced and fair distribution of health resources is one of the main principles in achieving equity.The goal of this cross-sectional descriptive study, conducted in 2010, was to classify health structural indicators in the Fars province using the SCALOGRAM technique. Health structural indicators were selected and classified in three categories; namely institutional, human resources, and rural health. The data were obtained from the statistical yearbook of Iran and was analyzed according to the SCALOGRAM technique. The distribution map of the Fars province was drawn using ArcGIS (geographic information system). The results showed an interesting health structural indicator map across the province. Our findings revealed that the city of Mohr with 85 and Zarindasht with 36 had the highest and the lowest scores, respectively. This information is valuable to provincial health policymakers to plan appropriately based on factual data and minimize chaos in allocating health resources.Based on such data and reflecting on the local needs, one could develop equity based resource allocation policies and prevent inequality. It is concluded that, as top priority, the provincial policymakers should place dedicated deprivation programs for Farashband, Eghlid and Zaindasht regions.

Better understanding and recognizing the amount of the enjoyment levels of regions and comparing them to each other causes their weakness, strength, opportunities and threats to be recognized, and finally cause the regional and zonal planning to be succeeded. For achieving this purpose, determining and analyzing of enjoyment levels by using various methods and offering suitable solutions in this field play important and fundamental role. In the present study, by using SCALOGRAM analysis and SWOT model enjoyment levels of West Azarbayjan based on 36 indices in population and labor, constructional- infrastructural, industry and mineral, social services, educational and health care are determined and position of each township in said indices are analyzed and after determining of weakness, strength, opportunities and threats suitable solutions for development of West Azarbayjan province townships are offered The findings indicated that there is difference among West Azarbayjan townships in terms of enjoyment levels and distribution of facilities and services. So based on SCALOGRAM Model results Urmia and Khoy townships are recognized as the most enjoyed level and Piranshahr, Sardasht and Chaldran as the most deprived level. Finding also shows that 42% of townships are in deprived and more deprived level, 28% in relatively deprived level, 14% in enjoyed level and only 14% in the most enjoyed level.