Разработка системы планирования производственного процесса на основе математической модели

В данной работе рассматривается разработка программной имитационной модели дискретнособытийных производственных процессов. В ходе работы выведены аналитические выражения для моделирования отдельных установок в производственном комплексе и описаны правила их взаимодействия. На основе выражений и правил реализована программная модель в виде подключаемой библиотеки на языке С++. Для работы с моделью были разработаны приложения для управления данными и для взаимодействия с пользователем.This paper discusses the development of a software simulation model of discrete-event production processes. In the course of the work, analytical expressions were derived for modeling individual installations in a production complex and the rules for their interaction were described. Based on expressions and rules, a programming model is implemented in the form of a plug-in library in the C ++ language. To work with the model, applications for data management and user interaction were developed

The design of a letter-mail transportation network by intelligent techniques

Many transportation providers such as package delivery companies and postal service organizations face the problem of designing a transportation network in order to service their customers. This network must balance the requirement of on-time delivery under tight time window constraints with the goal of low-cost operations of the fleet. Until recently this task was usually performed by planners without sufficient software aid. This paper describes a decision support system (DSS) which has been designed in order to assist planners of the German postal service, the Deutsche Post AG. It helps the planners in designing improved plans which can be generated either manually or with the help of sophisticated intelligent optimization techniques. Both optimization and system design factors which influenced the design of the DSS are discussed

Memoria Año 1991: Instituto de Recursos Naturales y Agrobiología de Salamanca. CSIC.

95 p

Planning Models for Long-Haul Operations of Postal and Express Shipment Companies

Postal and express shipment companies face the task to provide service between

Fall detection for elderly people using depth video data obtained by kinect

Thesis (M.A.)--Özyeğin University, Graduate School of Sciences and Engineering, Department of Electrical and Electronics Engineering, August 2013.Automatic detection of unusual events such as falls is very important especially for elderly people living alone. Real-time detection of these events can reduce the health risks associated with a fall. There has been a series of ongoing researches in the ?eld of unusual event detection using the Microsoft`s depth sensor Kinect. It has been applied in areas like fall detection using only the depth images and features derived from skeletal data having exaggerated dimensionality. This thesis will propose a novel method for automatic detection of fall event by using depth cameras. Depth images generated by these cameras are used in estimating the skeletal data of a person. The contribution here is to use features extracted from this data to form a strong set of features which can help us achieve an increased precision at low redundancy. The achievements indicate that the calculated features which are derived from skeletal data are moderately powerful for detecting unusual events such as fall