6 research outputs found
Design and implementation of location-based service for targeted advertising
Nowadays, mobile phones have been increasingly advertised. These performance advertisement tools altered to be one of the beneficial factors in order to promote products and services in national or local companies. One of the outstanding features of mobile phones is that everybody has accessibility in different circumstances and times. Companies struggle to draw customers attention by providing information, stimulating text or image to advertise their products by which high cost have been consumed. In this study, a system is designed and implemented for efficient and effective interaction between companies and customers. It is worth mentioning here this system has some great feature like being aware of text, owning mobile user Interface and presenting location-based service. These features enable companies to design an advertisement in a purposeful way. Such these advertisements can effectively be sent to the population company which are on target. Finally, the system was evaluated. Reduction in cost and effectiveness of advertising are grounded in the result of the study
Preparing a map of Iran's predictability of avian influenza using fuzzy logic
AI (Avian Influenza) is one of the most important respiratory, and contagious pathogens in poultry that has fast release power. At present, around 33 pandemics of H5 and H7 over-the-counter influenza have emerged from the 1950s to 2017. The largest pandemic is H5N1 pandemic in 63 countries, and now it turnes to H5N8. Like the H5N8 pandemic in the year 2016, the Severe strain in Guandong, China, resulted in the extinction of about 250 million poultry or wild birds in 63 countries. Most countries, in this context, use deforestation policy in the poultry industry to achieve the eradication of the extra-influenza strains. However, countries also use the vaccination strategy to control the disease. The prevalence of Avian Influenza virus and its transmission to human have been one of the main concerns of researchers in recent years. Identifying the country’s regions that are more vulnerable due to the prevalence of the virus will help control and prevent its prevalence at various stages. This study aimed to identify high-risk regions in Iran for the prevalence of N5H8 virus according to effective factors. This analytical study was conducted in 2016-2017 for IRAN. First, the affective factors were identified, using experts’ opinions, they were weighted, and classified into four categories. Then, the data were analyzed using fuzzy logic. The fuzzy membership functions were defined for each category. Defining 36 various rules, all the existing states were evaluated applying Mamdani's method. According to the conducted studies, the main factors affecting the prevalence of the mentioned virus included: proximity to rivers, lakes, and marshes, population, poultry farms, villages, rainfall, temperature, and wind. Finally, Tehran, Alborz, Qom, Isfahan, Qazvin, Golestan, and Gilan provinces had the greatest high-risk. The obtained zoning map of hazard had a good corresponding with the samples of report on the Avian Influenza virus
Volunteered geographic information in crisis management
During the disaster, rescue groups are responsible for tasks that require different types of information to optimize their activities. Preparation and distribution of information are very sensitive. The acquisition of new data and events such as degraded buildings and injured people in some cases using conventional methods is very difficult. With the advancement of technology, people familiar with social networks and smartphones, people produce and generate large amounts of data. This phenomenon is called Volunteered geographic information. Today, this data collected and shared with sites and social networks for free. This paper pays service that Volunteered geographic information provided to crisis management. Experience has shown that the system cannot work without regard to environmental considerations. The current system of data collection, updating and spatial data infrastructure, cannot consider emergency situations. In particular, companies such as Ushahidi and OSM's activities will be described. This article is based on articles and activities conducted in this field and provides the category and in the end, discussed and determine the factors affecting the performance of them
Design and implementation of location-based service for targeted advertising
Nowadays, mobile phones have been increasingly advertised. These performance advertisement tools altered to be one of the beneficial factors in order to promote products and services in national or local companies. One of the outstanding features of mobile phones is that everybody has accessibility in different circumstances and times. Companies struggle to draw customers attention by providing information, stimulating text or image to advertise their products by which high cost have been consumed. In this study, a system is designed and implemented for efficient and effective interaction between companies and customers. It is worth mentioning here this system has some great feature like being aware of text, owning mobile user Interface and presenting location-based service. These features enable companies to design an advertisement in a purposeful way. Such these advertisements can effectively be sent to the population company which are on target. Finally, the system was evaluated. Reduction in cost and effectiveness of advertising are grounded in the result of the study
Preparing a map of Iran\u27s predictability of avian influenza using fuzzy logic
AI (Avian Influenza) is one of the most important respiratory, and contagious pathogens in poultry that has fast release power. At present, around 33 pandemics of H5 and H7 over-the-counter influenza have emerged from the 1950s to 2017. The largest pandemic is H5N1 pandemic in 63 countries, and now it turnes to H5N8. Like the H5N8 pandemic in the year 2016, the Severe strain in Guandong, China, resulted in the extinction of about 250 million poultry or wild birds in 63 countries. Most countries, in this context, use deforestation policy in the poultry industry to achieve the eradication of the extra-influenza strains. However, countries also use the vaccination strategy to control the disease. The prevalence of Avian Influenza virus and its transmission to human have been one of the main concerns of researchers in recent years. Identifying the country’s regions that are more vulnerable due to the prevalence of the virus will help control and prevent its prevalence at various stages. This study aimed to identify high-risk regions in Iran for the prevalence of N5H8 virus according to effective factors. This analytical study was conducted in 2016-2017 for IRAN. First, the affective factors were identified, using experts’ opinions, they were weighted, and classified into four categories. Then, the data were analyzed using fuzzy logic. The fuzzy membership functions were defined for each category. Defining 36 various rules, all the existing states were evaluated applying Mamdani\u27s method. According to the conducted studies, the main factors affecting the prevalence of the mentioned virus included: proximity to rivers, lakes, and marshes, population, poultry farms, villages, rainfall, temperature, and wind. Finally, Tehran, Alborz, Qom, Isfahan, Qazvin, Golestan, and Gilan provinces had the greatest high-risk. The obtained zoning map of hazard had a good corresponding with the samples of report on the Avian Influenza virus
Corporate life cycle and cost of equity capital.
This paper investigates the effect of the corporate life cycle on the cost of equity capital. Using a sample of Australian firms between 1990 and 2012, we find that the cost of equity capital varies over the life cycle of the firm. In particular, using Dickinson’s (2011) life cycle measure, we find that the cost of equity is higher in the introduction and decline stages and lower in the growth and mature stages, resembling a U-shaped pattern. When DeAngelo, DeAngelo, and Stulz’s (2006) life cycle measure – earned/contributed capital mix (RE/TA) – is used, we find that the cost of equity decreases as retained earnings as a proportion of total asset increases after controlling for other firm characteristics and unobserved heterogeneity. These findings are shown to be robust using a series of sensitivity tests