The Mexican State, educational institutions and research centers have made efforts to found organisms, programs and projects, in order to promote spatial technological development, which appear and disappear without reaching the objective for which they were founded. In order to achieve technological development, it is necessary to integrate government-academia-industry, and it is the Mexican Space Agency, an agency of the Mexican State which is responsible for carrying out this activity; Nevertheless the Agency establishes what must be done to reach the technological development but does not mentioned how to achieve it. For this reason, designing a systemic model was proposed which allows the integration of scientific research in companies based on market goals, objectives and strategies. The systemic model has three stages within which are five phases and within them are eight subphases: The three stages are: input (I); Box (B); Output (O); O = IB, that is, I and B can be adjusted to achieve O. Holding fixed I and O. B will have infinite solutions. Ideally B = O / I = 1 in practice will be less than 1. Therefore the systemic model for the development of the Mexican special system has infinite solutions. It is proposed that spatial technological development begins with the construction of a spatial launch base as ground conditions exist for space launches and would attract different companies such as satellite constructors, space launchers, fuel producers, tourism services, etc.
Communications are the most important part of our daily life. The ionosphere play an important role in communications due to the conditions of the ionosphere can affect severely the transmitting and receiving information. Therefore, we propose an intelligent system that can predict accurately structures in the ionosphere. We use a morphological associative model. The obtained results of effectiveness from the Leave One out, Hold Out and Ten-Fold Cross validation test were: 89.45%, 97.77% and 95.83%, respectively, when we use only the max memory because min memory showed a bad performance.
The Technological Management (TM) is defined as: the decisions that the State adopts on the policies, plans programms, etc. relating to the creation, diffusion, use and transfer of space technology in order to achieve Technological Development (TD).
In Mexico the government, educational institutions and research centers have made efforts to found organisms, programms and projects, in order to foster space DT, which arise and disappear without achieving the objective for which they were founded.
The main purpose of the TM is the TD. To achieve this, integration is necessary concerning government-academia-industry in order to reduce political, economical and social conflicts.
For this reason, a Systemic Model (SM) for the Technological Development of the Mexican Space System (TDMSS) is proposed, allowing the integration of scientific research in companies based on market goals, strategies and objectives.
The MS has three stages: the first is the input (I), consisting of the analysis of the satellite system in the International and National context; The second, box (B), consisting of: diagnosis, proposal, planning to carry out the proposal;
The third relative to the output (O), in this case is the satellite TD. O = IB, ie, I and B can be adjusted to achieve O.
Human imagination through mental processes of symbol manipulation in the mind produces a range of ideas for expression of thoughts in terms of a large variety of models for representations, communications, and prediction of events and states of parts of the empirical world such as the arts, entertainments, rules and regulations for coexistence in a society, explanatory hypotheses driven by curiosity such as the sciences and so on. This kind of thinking has been going on at all levels for facilitating survival, promoting development of human intellectual endeavours and trying to aid the construction of projects on a small, every day basis to large scale i.e. engineering driven by purposive activities of humans within social and technical scenarios. This programme of work has been going on for millennia only the details changing, mostly through paradigm changes of concepts as the means for grasping parts of the world of interest. The last major change was the Renaissance, another is taking place now. Pre Renaissance thinking, with the possible exception of Archimedes, had been by and large speculative along lines of philosophical contemplation, mysticism, superstition, religious beliefs etc. All kinds of thoughts had been acceptable until conventional science of physics entered the scene. Although conventional science had been propounding explanatory hypotheses of more or less generality, it only accepts those, particular instances of which can be verified by models resulting in falsification, or not, of the hypothesis itself. Mathematical models having been proved most suitable for this purpose. Conventional science has been immensely successful in producing such hypotheses for the satisfaction of curiosity, discovering new materials and products, generating teaching schemes and affecting social changes. However, its theories are symmetrical in time, thus, it could just cope when faced with irreversibility, its invariants are restricted to qualitative and quantitative properties of a single, selected object involved in highly repeatable phenomenon, it operates in many domains and as such has failed engineering as a provider of knowledge base etc. A paradigm change beckons. The question of problem solving in technical - social scenarios emerged in an organised manner for the first time during the 2nd WW when convoys of escorted ships crossed the Atlantic and moving enemy aircraft had to be shot down giving rise to operational research and control theory. The post WW period saw rapid, further development of interest in the ‘systemic or structural view’ evolving towards divers, speculative attempts with many ill defined models and approaches which currently still prevail. This view rejected conventional science in its entirety branded as reductionist. The view of new science of systems retains science’s methodology of problem solving and its structure of ‘general principles plus models’ but with ‘systemic or structural content’ for modelling and designing structures with multiple agents in static and dynamic states which constitutes a paradigm change and supplements current thinking. The advantages of this approach are: Based on the universality of the structural/systemic view. Availability of operational models directly applicable to analysis and design of scenarios. Accommodation of conventional science of physics in systems science resulting in a possible, unified view of the scientific enterprise. Being part of and aiding conventional and systems engineering. Accommodating effects of emotions, will, prejudices, ambitions etc. on activities of human beings. Construction of novel teaching schemes to suit problem solving. Modification of views on parts of knowledge such as chemistry. Rooted in existing knowledge. Adding linguistics to supplement mathematics as a symbolism for modelling. Supplements mode of thinking by professionals and others in society.
The presentation describes the scheme of human intellectual endeavour and the ‘new science of systems’ in problem solving supplying material for sorely needed debate.
