List of Articles Fire

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  1 - Locating Base Fire and Safety Services in Rural Settlements (Case study villages, city Boukan)
  وحید ریاحی  
  Locating the Rural Fire Service and Safety Services is of great importance, For safety And prevent fires and accidents. Due to the high cost of locate firing safety services centers in all villages, Establish and correct locating caused increasing in efficiency usage of More

  Locating the Rural Fire Service and Safety Services is of great importance, For safety And prevent fires and accidents. Due to the high cost of locate firing safety services centers in all villages, Establish and correct locating caused increasing in efficiency usage of safety centers. In this study, Dashbnd, Nachyt and Rahimkhan as the case villages in Boukan county previous studies were selected to locate in the rural context. Results show that the models employed is absolutely correct invoices. The research is applied in terms of content and analytical - descriptive. It is a documentary and field data collection To locate the fire station in the village of tissue factor in the six selected. Layers corresponding to each of these factors with reference to the same Zone 38, WGS1984 UTM: and the same (cellsize 3.6 × 3.6) in ARC GIS 10 preparation has been .To determine the importance of indicators used software expert choice 2011. And then each of the factors using fuzzy models by means of standardized Raster calculator and a value of zero to a raster format have been In this case, the layers become fuzzy weighted. . Then fuzzy algebraic operations addition and multiplication performed on layers and overlapping layers were. Finally the fuzzy gamma operator places suitable for the construction of a fire station in the rural context. Manuscript profile
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  2 - Handwritten Digits Recognition Using an Ensemble Technique Based on the Firefly Algorithm
  Azar Mahmoodzadeh Hamed Agahi Marzieh  Salehi
  10.7508/jist.2018.03.003
  This paper develops a multi-step procedure for classifying Farsi handwritten digits using a combination of classifiers. Generally, the technique relies on extracting a set of characteristics from handwritten samples, training multiple classifiers to learn to discriminat More

  This paper develops a multi-step procedure for classifying Farsi handwritten digits using a combination of classifiers. Generally, the technique relies on extracting a set of characteristics from handwritten samples, training multiple classifiers to learn to discriminate between digits, and finally combining the classifiers to enhance the overall system performance. First, a pre-processing course is performed to prepare the images for the main steps. Then three structural and statistical characteristics are extracted which include several features, among which a multi-objective genetic algorithm selects those more effective ones in order to reduce the computational complexity of the classification step. For the base classification, a decision tree (DT), an artificial neural networks (ANN) and a k-nearest neighbor (KNN) models are employed. Finally, the outcomes of the classifiers are fed into a classifier ensemble system to make the final decision. This hybrid system assigns different weights for each class selected by each classifier. These voting weights are adjusted by a metaheuristic firefly algorithm which optimizes the accuracy of the overall system. The performance of the implemented approach on the standard HODA dataset is compared with the base classifiers and some state-of-the-art methods. Evaluation of the proposed technique demonstrates that the proposed hybrid system attains high performance indices including accuracy of 98.88% with only eleven features. Manuscript profile
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  3 - Sailor Localization in Oceans Beds using Genetic and Firefly Algorithm
  Shruti  Gupta Dr Ajay  Rana Vineet  Kansal
  10.29252/jist.8.31.175
  The Localization is the core element in Wireless Sensor Network WSN, especially for those nodes without GPS or BDS; leaning towards improvement, based on its effective and increased use in the past decade. Localization methods are thus very important for estimating the More

  The Localization is the core element in Wireless Sensor Network WSN, especially for those nodes without GPS or BDS; leaning towards improvement, based on its effective and increased use in the past decade. Localization methods are thus very important for estimating the position of relative nodes in the network allowing a better and effective network for increasing the efficiency and thus increasing the lifeline of the network. Determining the current limitations in FA that are applied for solving different optimization problems is poor exploitation capability when the randomization factor is taken large during firefly changing position. This poor exploitation may lead to skip the most optimal solution even present in the vicinity of the current solution which results in poor local convergence rate that ultimately degrades the solution quality. This paper presents GEFIR (GenFire) algorithm to calculate position of unknown nodes for the fishermen in the ocean. The proposed approach calculates the position of unknown nodes, the proposed method effectively selects the anchor node in the cluster head to reduce the energy dissipation. Major benefits over other similar localization algorithms are a better positioning of nodes is provided and average localization error is reduced which eventually leads to better efficiency thus optimize the lifetime of the network for sailors. The obtained results depict that the proposed model surpasses the previous generation of localization algorithm in terms of energy dispersion and location estimation which is suitable for fishermen on the ocean bed. Manuscript profile
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  4 - Improvement of Firefly Algorithm using Particle Swarm Optimization and Gravitational Search Algorithm
  Mahdi Tourani
  10.52547/jist.9.34.123
  Evolutionary algorithms are among the most powerful algorithms for optimization, Firefly algorithm (FA) is one of them that inspired by nature. It is an easily implementable, robust, simple and flexible technique. On the other hand, Integration of this algorithm with ot More

  Evolutionary algorithms are among the most powerful algorithms for optimization, Firefly algorithm (FA) is one of them that inspired by nature. It is an easily implementable, robust, simple and flexible technique. On the other hand, Integration of this algorithm with other algorithms, can be improved the performance of FA. Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are suitable and effective for integration with FA. Some method and operation in GSA and PSO can help to FA for fast and smart searching. In one version of the Gravitational Search Algorithm (GSA), selecting the K-best particles with bigger mass, and examining its effect on other masses has a great help for achieving the faster and more accurate in optimal answer. As well as, in Particle Swarm Optimization (PSO), the candidate answers for solving optimization problem, are guided by local best position and global best position to achieving optimal answer. These operators and their combination with the firefly algorithm (FA) can improve the performance of the search algorithm. This paper intends to provide models for improvement firefly algorithm using GSA and PSO operation. For this purpose, 5 scenarios are defined and then, their models are simulated using MATLAB software. Finally, by reviewing the results, It is shown that the performance of introduced models are better than the standard firefly algorithm. Manuscript profile
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  5 - An Intelligent Vision System for Automatic Forest Fire Surveillance
  Mohammad Sadegh  Kayhanpanah Behrooz Koohestani
  Fighting forest fires to avoid their potential dangers as well as protect natural resources is a challenge for researchers. The goal of this research is to identify the features of fire and smoke from the unmanned aerial vehicle (UAV) visual images for classification, o More

  Fighting forest fires to avoid their potential dangers as well as protect natural resources is a challenge for researchers. The goal of this research is to identify the features of fire and smoke from the unmanned aerial vehicle (UAV) visual images for classification, object detection, and image segmentation. Because forests are highly complex and nonstructured environments, the use of the vision system is still having problems such as the analogues of flame characteristics to sunlight, plants, and animals, or the smoke blocking the images of the fire, which causes false alarms. The proposed method in this research is the use of convolutional neural networks (CNNs) as a deep learning method that can automatically extract or generate features in different layers. First, we collect data and increase them according to data augmentation methods, and then, the use of a 12-layer network for classification as well as transfer learning method for segmentation of images is proposed. The results show that the data augmentation method used due to resizing and processing the input images to the network to prevent the drastic reduction of the features in the original images and also the CNNs used can extract the fire and smoke features in the images well and finally detect and localize them. Manuscript profile
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  6 - A study of architectural elements in fire temples and mosques in ancient Iran and the Islamic era
  zohre nadryan yaghob zoalfeghary
  With the end of the Sassanid rule, the Islamic period began in Iran, Muslims needed a mosque for worship. Hence, they turned fire temples into mosques and destroyed some of them and built mosques in their place. In different historical periods, different elements were a More

  With the end of the Sassanid rule, the Islamic period began in Iran, Muslims needed a mosque for worship. Hence, they turned fire temples into mosques and destroyed some of them and built mosques in their place. In different historical periods, different elements were added to them with different styles. In this research, questions such as the characteristics of the physical and spatial elements of the fire temple and how they change and become a mosque, are clearly stated and the researcher understood the reason for the changes in the buildings. This research has been done by descriptive analytical method with a historical perspective, which has been collected through data collection, and the result of studies on the buildings of mosques and fire temples in the Islamic period is as follows: Mosques consist of 4 structures They are the first structure of the nave + the courtyard of the mosque. Second structure: quadrangular + nave + courtyard. The third structure is only one nave and the fourth structure is only four-arched. Manuscript profile
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  7 - Introducing creative method in order to take advantage of climatic conditions to reduce energy consumption in the building
  Marjan  Khanmohammadi Mohamad Reza Vahidi
  Climate-based architectural design, and the presentation of new and innovative executive solutions to use natural forces and energies to reduce energy consumption and create comfort in the building, is a necessity and importance of this research. This article, in respon More

  Climate-based architectural design, and the presentation of new and innovative executive solutions to use natural forces and energies to reduce energy consumption and create comfort in the building, is a necessity and importance of this research. This article, in response to the question, how can the heating and cooling needs of the building be met through a single system? and in the form of a report on the invention and patent, the proposed method of "designing a fireplace space with windshield function in hot seasons" is explained. The purpose of this study is to increase the use of clean energy in the climate of each region, such as wind for ventilation and cooling and provide comfort in indoor spaces. Which describes the design of structural execution technique from an exploratory method with a practical purpose. As a result, the innovative details of this technique are expressed that it has been able to meet the heating and cooling needs of the building by using the climatic potential of the region in a sustainable way and by spending the least energy cost. This will lead to optimization and savings in energy consumption and costs and ultimately reduce environmental pollution. Manuscript profile
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  8 - Effects of Fire on Vegetation in the shanderman Forests
  Nasrin Hajatpour shekari Hassan Pourbabaei Mehrdad Ghodskhah Daryaei Hamed Asadi
  This study was conducted with the aim of investigating the effects of fire on the vegetation in Shanderman forests (Guilan province). For this purpose, 60 sampling plots of 400 m2 were taken in a random-systematic Method in the areas of burned and control. The plant sp More

  This study was conducted with the aim of investigating the effects of fire on the vegetation in Shanderman forests (Guilan province). For this purpose, 60 sampling plots of 400 m2 were taken in a random-systematic Method in the areas of burned and control. The plant species present at the level of the samples were collected and identified, and their Life forms determined based on the Runkaeir's method. The results showed that 60 plant species were identified in the studied forest, 13 species (22%) only in the fire area, 5 species (8%) only in the control area, and 42 species (70%) were observed common in the both regions. The highest frequency belonged to Rosaceae and Poaceae families. In the study of the life forms of plant elements in the burned and control area, phanerophytes and hemicryptophytes were the most present in both regions. The results of the investigation of plant biodiversity indicators showed that the values of species diversity indicators in the burned area were higher than in the control area. DCA analysis showed that the composition of the vegetation in the burned area is not significantly different from the control area. Therefore, it can be concluded that after 12 years of the fire, the vegetation composition of the area has been restored and has become the same as the control area. Manuscript profile