This paper provides a brief analysis of analytical models and models of fuzzy logical inference, which are used for solving various problems associated with the ecological state of environmental objects. The classification of models is given. The results of the analysis of the works showed that stochastic models are often used, in particular, regression models and models of fuzzy logical inference when verbally setting the parameters of objects. Analytical models of environmental objects are non-stationary, non-linear and are characterized by after effect, therefore, these models have significant limitations in application. The analysis of the using of models of fuzzy logical inference for solving environmental problems. The results of the analysis showed that for many tasks in different areas of human activity, decisions are being made regarding the ecological state of the environment. It is concluded that the development of decision-making models regarding the ecological state of environmental objects is a relevant aim.

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Age is an important attribute of identity and social interaction as well for medical processing. Face is consists several elements to predict the human age such as facial wrinkles and youthfulness. Age estimation from the face by intelligent human-machine interfacing is required to capture picture that may contains different parts as well the human face. In order to estimate age, we need to detect only the face information. This research proposes an android application to take photo for anyone using android camera or upload photo from gallery, then it will determine the age for everybody in the photo. The application can guess the physical age for the faces depends on internet servers. The application tested on many persons and the results was correct under some conditions such as (the light of picture, the normal state for face, camera accuracy), the other results was correct 90- 95% under other conditions. This application easy to use, and simply you can use it to detect the age of your friends. This proposed application can be used in security, parks and swimming pools entrances, and medical clinics

Traditional search mechanisms are based on the keyword search, which does not consider the semantic links between different concepts. This leads to the loss of relevant documents due to inaccurate query formulation or using contextually close words and concepts in the query. To solve the problems of formulating user queries and interdisciplinarity of concepts, it is suggested to use semantic search. The proposed method for implementing semantic search is applicable to large scopes of text data and is based on using a genetic algorithm. Unlike standard methods for information search, the suggested method allows us to consider the semantics of interrelationships between concepts and to handle interdisciplinary concepts correctly. By the aid of semantic tagging, documents contain concepts that are not present in the user's initial query but are semantically close to the requested concepts. Semantic tagging is performed for each document separately, which provides parallel tagging in several subject areas. By the time of the document ontological profile formation is completed, all semantic distances between pairs of distinguished concepts are calculated. Concepts are considered contextually close if their semantic proximity value is above a certain threshold value that is specified in the search parameters. Building a document ontological profile is a multicriteria task, since it depends on a lot of characteristics, so genetic algorithms can be used to solve it effectively. The developed genetic algorithm is intended for more accurate distribution of weight coefficients and estimation of semantic proximity of concepts.