The public participation (PP) is widely legitimised as a vital prerequisite to achieve sustainable development and as a basic principle of democracy. Under the conditions of the new territorial administrative-territorial division of local government units in the Republic of Albania, the Malesia e Madhe (MM) Municipality is a new one. The purpose of this study was the assessment of attitudes of the local community of areas under the administration of MM Municipality on PP in local planning and decision-making in order to influence future behaviours of the local community to take active part in local decision-making processes. The questionnaire was used as a research instrument for the local community of this Municipality. The research results showed that the local community of this area was generally aware of the need for their involvement in local decision-making, but they considered the municipality as the main responsibility for their involvement in this process. Keywords: Albania, local planning & decision-making, Malesia e Madhe Municipality, public participation.

Digital image processing is an area that finds many applications in three-dimensional graphics. One of the subjects considered in image processing is detection of moving objects. In this paper, we have analyzed the performance of an algorithm that detects a moving object. The performance relates to the speed of moving object during a predetermined time interval. The methodology supports Matlab integrated with built-in functions. Specifically, as input of the simulation model is a video material containing moving objects. The model reads a video file presenting moving objects; after the model is executed in Matlab, the output emits moving objects associated to selections moving accordingly with moving objects. The performance analysis consists on tracking the people/objects from the colored markers as accurately as possible. This simulation serve for further research that lead to the generation of a practical product of detecting movable objects.

Biometrics is a field of study and dissemination that brings a host of contributing domains in an integrated way to generate products that find multiple applications particularly in creating an individual's identity. Modeling biometric processes reveals a series of discussions in various fields, mainly in medicine and in the digital image processing field. These discussions range from the simulation levels of these models to those of application and concrete products that use biometric systems for identifying and recognizing individuals. Indeed, over many biological parameters of an individual to be identifiable, there is the face that generates a lot of information about the physical data of the individual. According to specific studies, facial components combined according to different methods can be used to design simulation models that come in aid of generating closed-source and dedicated programs of biometric recognition (Das, 2018). This paper deals with a simulation model, through the Matlab test-bench, of the facial recognition process. The model is created at the proposal level for the subject field and gives the limits and recommendations for improvements and further developments of this simulation method. The modeling methodology includes two parts; the first part is the Matlab program that has been coded in such a way that it takes some images that represent the faces of different people published in the opensource database on the Internet; the second part is the creation of a database that retains these images to enable face identification when entering a new image program. The facial search and retrieval process are built through some built-in functions that the latest versions of Matlab offer. Finally, the simulation model provides a new facial identification model that leaves room for further discussion and limits to the relatively small number of face images that can support the database in Matlab.