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This article deals with the sequential analysis for testing of the human operator. A set of important
criteria (indicators) of the effectiveness of the human operator is introduced. The purpose of studies
to obtain an estimate efficiency of the human operator. This article is about special the information
system. The information system includes: the block of object indexing, the block of recommendatory
list processing, the block of searching, the block of searching array realized, the block of recognition,
the block of archive of objects and the human operator too. The search of this indicator is done. The
average number of errors for the human operator is important. Estimates of the effectiveness of the
human operator were obtained. Sequential analysis for testing of the human operator was used. The
experimental results were obtained too. The obtained results are used for some information systems
for making decisions in criminalistics. It is offered to use a special factographic system. The results
were successfully protected by various patents. Further, it is planned to get and explore in details
another method for testing of the human operator.
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№ 3(57)
30 june 2015 year
Rubric: Study of processes and systems Authors: Emelyanov A., Emelyanova N., Shil’nikova O. |
Develop and implement programs of industrial production is a step by step procedure perform one
or more processes. Demand program is executed on the basis of both the actual statistical data and
simulation results. Modeling is necessary due to the fact that not all the parameters of governmental
processes are known with a satisfactory level of significance. It uses various methods of modeling.
Most process design engineers are not able to create a mathematical model for the process analysis.
In such cases, combined models are used: a simulation model of discrete control systems engineers
is used, and the physical, chemical and other create products processes are represented
by analytical mathematical model. Both are components of a complex model, and performed in the
same virtual time. As a result of simulation obtained all the missing process parameters are measured
their confidence intervals. Next, engineers must choose the optimization method for the production
program created, and can two opposite situation. First: the response surface obtained in the simulation
can be approximated with reasonable certainty by means of linear or nonlinear mathematical
form. Then, it is theoretically possible to use linear programming, nonlinear programming and gradient
methods. Second: the response surface did not found in the simulation. However, there are
simulation results that can be used to produce versions of the program. In this case remains one
method available: dynamic programming. This article describes the combined using of simulation
and dynamic programming to optimize production programs.
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We consider the method of conditional optimization of solving of multi-objective task about appointments
on the assumption that the number of candidates is equal or more than the number of vacant
positions. Whereas eligibility assessments of task is unclear and is based on the judgment of experts we
must use elements of fuzzy sets theory and the fuzzy mathematical programming. In our problem the
optimization with interval parameter is supposed the solving of two tasks of mathematical programming
with upper and lower value boundaries. In both tasks, as the objective functions are used the total score
penalty for non-compliance of subjects (candidates) and objects (appointments) for each criterion.
The meet of two solving is general solving of optimization problem. In this paper we use interval
analysis and interval discrete optimization with Boolean variables, which determine appointment matrix.
The Hungarian Method for the assignment problem was used for solving of optimization problems.
An appointment matrix must provide the minimum of value of difference between requirements
to candidates for appointments and requirements to appointments. It should be noted that it is not
always the intersection of the sets of solutions to both problems, and then the task has no decision.
In this case the problem should be solved on the basis of indistinct intervals, but the solving will be
received in the form of an indistinct appointment matrix.
The results of solving of optimization problems are compared with results, which are received on
base of fuzzy binary relations ( (max-min) — composition and (max-prod) — composition).
This comparison is necessary for more reliable conclusions about the selection of candidates
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The analysis of social engineering systems allowed to build fuzzy cognitive model of assessment
of its man-made elements to arrive at an informed judgment about the need for control actions to
bring the State of the social subsystem to the specified level. The set of control actions is implemented
through the use of institutional mechanisms, motivation and information management. You must
ensure that the level of motivation is not greater than the optimum value, and the intensity of institutional
measures was below critical. To calculate the value of concepts at the lower levels of the hierarchy
model can be used as an additive vector measure up, because in this case, the values of some
concepts can be offset by other values. For the top level of appropriate application of convolution,
because the multiplicative if at least one of the concepts of {«level of motivation “; «Psychophysical
capabilities; «Competence»} «variable linguistic factor» is set to «Low», then the integral evaluation
of the level of effectiveness of the man-made element should be taken as equal to «Low». Evaluation
of the concept of “ Level motivation» may correspond to the values of the negative term-many
of the linguistic variable. Assessment of the status of the subject in this case will also take «negative
» values. Content that can be interpreted as the potential destructive impact of man-made element
on the system-«insider threat».
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which was created on a request from an overseas firm, processes chats, blogs, and forums to provide
as output generalized negative and positive scores as well as specific subjectivity terms associated
with the product’s name given in user’s query. The system is based on the highly structured
ontology and linear grammar. The ontology consists of syntactic and semantic terms ad their subcategories,
groups and classes. Semantic terms are those ones expressing subjectivity and having
either positive or negative semantic orientation. Syntactic terms do not express subjectivity but
can modify the intensity of polarity of semantic terms. The relation between semantic and syntactic
terms is defined as a binary relation and groups with symmetric, asymmetric, and inverse relations
between syntactic and semantic terms are distinguished. Semantic terms are assigned scores from
1 (–1) to 9 (–9). The paper suggests differentiating between formal and linguistic ontologies. Linear
grammar comprises rules that allow mapping ontology terms onto the names of products and generate
phrases with semantic and syntactic terms. The overall system’s efficiency measured in terms
of recall and precision of information retrieval achieves 86%.
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The article considers the issues related to the integration of information from various sources for
complex application in solving problems of financial institutions. Approaches are suggested for use
in data warehouses organize information from external sources: open data, Internet, state of automation
systems, etc. emphasizes the importance of using financial institutions structural beginning,
shared meanings, redistributable formed in the present state automation. An example of such a system
is the system of interdepartmental electronic interaction that enables the financial institution to
get automated information from state and municipal agencies. Another example is also introduced
in Russia a unified system of identification and authentication, providing a legally confirmed authorization
of users of automated systems. It is noted that in a society based on such systems form some
external to the financial organization master data management environment, which must be effectively
used by financial organizations to obtain new functionality automation and additional structuring
information in their data warehouses. Discusses the potential use of financial organizations open
data generated in the present time, various organizations in the initiative order, and published various
state and municipal agencies of Russia. The article also considers the interaction of financial institutions
and service it service it company, including the use of the process approach to develop,
support, and development of automation for financial institutions.
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