Информационно-знаковые системы коллекций женской одежды «прет-а-порте» Дома моды Givenchy
A semiotic interpretation of «I» is given, and conditions of existence of the I outside the boundaries of subjective reality (the possibility of «noumenal I»). We start by acknowledging the imaginary character of the I: in front of us is but a ghost, some «patterns», «compositions», «drawings», «charts» of some object X named «I» that are experience by me (who?), and some «texts» that describe the inner machinery of the former and its relations to the environment (and, among other things, to other similar ghosts of «You», «We», «They»). Further, we discover that «I», a symbolic formation within the psyche, becomes its own «object» (designatum) by mediating the currents of activity the individual generates as a physical entity. The real I is a form in which an individual exists, defined in the encounter of his/her inherent «subject less» activity with the cultural symbols (prototypes) of the I, «impressed» into the individual by culture. As a result of those encounters emerge the true subject of cognition, which constructs an image of the world (contemplative I, thinking I, receiving I, possessing I), the true subject of activity (goal-setting I, achieving I, influencing I, giving I), and the true experiencing subject (enduring I, coexisting I, transcending I).
The palmy days of the corporate culture of medieval guilds were the time of the origin of the modern corporate identity. Medieval corporate aesthetic as a code of corporate culture formed a unique identity of corporate culture and played the regulatory function in the activity of medieval craftsmen. This communicative potential of the corporate identity is especially required for corporate business cultures of modern informational age.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability