2,577 research outputs found
Separation of variables in the generalized 4th Appelrot class
We consider the analogue of the 4th Appelrot class of motions of the
Kowalevski top for the case of two constant force fields. The trajectories of
this family fill the four-dimensional surface O^4 in the six-dimensional phase
space. The constants of three first integrals in involution restricted to this
surface fill one of the sheets of the bifurcation diagram in R^3. We point out
the pair of partial integrals to obtain the explicit parametric equations of
this sheet. The induced system on O^4 is shown to be Hamiltonian with two
degrees of freedom having the thin set of points where the induced symplectic
structure degenerates. The region of existence of motions in terms of the
integral constants is found. We provide the separation of variables on O^4 and
the algebraic formulae for the initial phase variables.Comment: LaTex, 16 pages, 1 figur
Analyse phΓ©nomΓ©nologique de la photoproduction des pions chargΓ©s sur les nuclΓ©ons dans la gamme d'Γ©nergies voisine du seuil
Application of Simplified Models to Qualitative Geotechnical Analysis
The paper describes an approach for qualifying soil-structure systems behavior, using simple numeric models β βgeotoysβ, reflecting the main features of the systems behavior and enabling numeric simulation of various case histories. Three case histories of major karstic sinkholes are analyzed to show that man-made structures above a karstic cavity prevent formation sinkhole. When plastic zones reach the structure periphery, the soil-structure system becomes unstable. Prior settlements could be negligible to serve as precursors. Another soil-footing-superstructure (SFSS) model is a 2D geotoy - an exact mathematical solution, used for multiple simulations (about 10,000) of SFSS sensitivity i.e., response to input parameters variations. The sensitivity was rated for each input-output pair [1]. The most interesting findings are the following: 1) SFSS stress state is very sensitive to soil strength parameters c and Ο, which are responsible for formation of soil disruption zones (βplastic zoneβ) under footing edges. 2) If a structure rests on a homogeneous soil base then it is practically insensitive to soil base compressibility i.e., soil modulus E variations. 3) 3D FEM analysis confirmed that 2D simulations can be used for qualitative SFSS analysis. 4) Geotoys can be used for case histories analysis, risk assessment, training practical intuition, education purposes and international exchange and cooperation
Updating DL-Lite ontologies through first-order queries
In this paper we study instance-level update in DL-LiteA, the description logic underlying the OWL 2 QL standard. In particular we focus on formula-based approaches to ABox insertion and deletion. We show that DL-LiteA, which is well-known for enjoying first-order rewritability of query answering, enjoys a first-order rewritability property also for updates. That is, every update can be reformulated into a set of insertion and deletion instructions computable through a nonrecursive datalog program. Such a program is readily translatable into a first-order query over the ABox considered as a database, and hence into SQL. By exploiting this result, we implement an update component for DLLiteA-based systems and perform some experiments showing that the approach works in practice.Peer ReviewedPostprint (author's final draft
Seismic Behavior of Nailed Soil Massifs
Soil nailing technology can be successfully applied to strengthen natural soil massifs in seismic regions, provided adequate analysis is available. Conventionally, the design of soil nailing is performed iteratively: firstly parameters of nailing and their distribution are assigned, the safety factor of the nailed massif is calculated, if its value is less than 1 then nailing parameters are reassigned, etc. Such βtrial and errorβ approach is laborious and especially so, because different types of ULSs shall be analyzed. The method, discussed in the paper, is based on assumption that the effect of nailing in soil with internal cohesion c=c(x,y) could be simulated by equivalent internal cohesion Ξc=Ξc(x,y) (deficit) of unreinforced massif. Formulae for calculating nailing parameters are determined on the basis of deficit distribution. A MathCad code has been developed, examples are given. The method can be easily applied to assess seismic stability of nailed soil massifs
ΠΡΡΠΌΠΎΠ΅ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΠ΅ Β«ΡΠ΅ΠΏΠΎΡΠ΅ΠΊΒ» ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΠΊΠΎΠ² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ
The object of the research is the diagnosis and evaluation of financial risks in order to create an effective risk management policy. The subject of the research is the methodology of direct fuzzy evaluation of financial risk βchainsβ of an organisation. The relevance of the problem is due, on the one hand, to the dynamic and chaotic macro-environment and the business environment of organisations, on the other hand, to the drawback of the analytical and expert methods used to assess financial risks. The former, moreover, imply statistical data processing and operate with quantitative measures. For the latter, the difficulty is the impossibility of their application in a short time interval. From the perspective of operational risk management, financial risks deserve special attention since the effective operation of the entire organisation depends on them. The purpose of the research is to form a methodology for direct fuzzy evaluation of financial risk βchainsβ of an organisation. The authors apply the methods of mathematical forecasting, fuzzy modelling, calculation of financial and economic indicators, and expert risk assessment. The proposed methodology consists of 12 stages, beginning with the analysis of business processes and the identification of financial risks of the organisation. The main stage is the construction of a fuzzy evaluation model and the calculation of indicators: the probability of occurrence and realization of risks and risky situations of the financial risk βchainsβ, and the degree of confidence of the calculations conducted. The final stage of the methodology is an analysis of the results obtained to adjust the selected development strategy of the organisation, and the choice of methods for managing identified financial risks bearing the most significant financial and economic losses. The authors conclude the developed methodology allows to accurately assess the threat of a certain risk βchainβ and losses from the implementation of specific risk situations for any organisation in the conditions of dynamic changes in internal and external elements of the business environment. The advantage of the methodology should be considered in the comparability of the accuracy of the evaluation and the low cost of modelling.ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΡΡΡΠΏΠ°Π΅Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΈ ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ² Ρ ΡΠ΅Π»ΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΈΡΠΊ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ°. ΠΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΡΠΌΠΎΠ³ΠΎ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ Β«ΡΠ΅ΠΏΠΎΡΠ΅ΠΊΒ» ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΡΠΈΠΊΠΈ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π°, Ρ ΠΎΠ΄Π½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Ρ, Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠΉ ΠΈ Ρ
Π°ΠΎΡΠΈΡΠ½ΠΎΠΉ ΠΊΠ°ΠΊ ΠΌΠ°ΠΊΡΠΎΡΡΠ΅Π΄ΠΎΠΉ, ΡΠ°ΠΊ ΠΈ Π±ΠΈΠ·Π½Π΅Ρ-ΡΡΠ΅Π΄ΠΎΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ, Ρ Π΄ΡΡΠ³ΠΎΠΉ β Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠ°ΠΌΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΊΡΠΏΠ΅ΡΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ². ΠΠ΅ΡΠ²ΡΠ΅ ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΏΠΎΠ΄ΡΠ°Π·ΡΠΌΠ΅Π²Π°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΡΡ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΡ Π΄Π°Π½Π½ΡΡ
ΠΈ ΠΎΠΏΠ΅ΡΠΈΡΡΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ ΠΌΠ΅ΡΡΠΈΠΊΠ°ΠΌΠΈ. ΠΠ»Ρ Π²ΡΠΎΡΡΡ
ΡΡΡΠ΄Π½ΠΎΡΡΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² Π½Π΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡ
ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π° ΠΊΠΎΡΠΎΡΠΊΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»Π΅. Π‘ ΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΈΡΠΊ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ° Π·Π°ΡΠ»ΡΠΆΠΈΠ²Π°ΡΡ ΠΎΡΠΎΠ±ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠ΅ ΡΠΈΡΠΊΠΈ, ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΠΎΡ Π½ΠΈΡ
Π·Π°Π²ΠΈΡΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΠ΅ΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΡΠΌΠΎΠ³ΠΎ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ Β«ΡΠ΅ΠΏΠΎΡΠ΅ΠΊΒ» ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ°ΡΡΠ΅ΡΠ° ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΡΠΊΡΠΏΠ΅ΡΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΈΡΠΊΠΎΠ². ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠ°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· 12 ΡΡΠ°ΠΏΠΎΠ², Π½Π°ΡΠΈΠ½Π°Π΅ΡΡΡ Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π±ΠΈΠ·Π½Π΅Ρ-ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ. ΠΡΠ½ΠΎΠ²Π½ΡΠΌ Π΅Π΅ ΡΡΠ°ΠΏΠΎΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ΅Π½ΠΎΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΡΠ°ΡΡΠ΅Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ: Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΈΡΠΊΠΎΠ² ΠΈ ΡΠΈΡΠΊΠΎΠ²ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ Β«ΡΠ΅ΠΏΠΎΡΠΊΠΈΒ» ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ², ΡΡΠ΅ΠΏΠ΅Π½Ρ ΡΠ²Π΅ΡΠ΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΡΡ
ΡΠ°ΡΡΠ΅ΡΠΎΠ². ΠΠΎΠ½Π΅ΡΠ½ΡΠΉ ΡΡΠ°ΠΏ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΡΠ²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Ρ ΡΠ΅Π»ΡΡ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²ΠΊΠΈ Π²ΡΠ±ΡΠ°Π½Π½ΠΎΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ, Π²ΡΠ±ΠΎΡΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠΌΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌΠΈ ΡΠΈΡΠΊΠ°ΠΌΠΈ, Π½Π΅ΡΡΡΠΈΠΌΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΡΠ΅ΡΠΈ. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠΎΡΠ½ΠΎΡΡΡΡ ΠΎΡΠ΅Π½ΠΈΡΡ ΡΠ³ΡΠΎΠ·Ρ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ Β«ΡΠ΅ΠΏΠΎΡΠΊΠΈΒ» ΡΠΈΡΠΊΠΎΠ² ΠΈ ΠΏΠΎΡΠ΅ΡΠΈ ΠΎΡ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
ΡΠΈΡΠΊΠΎΠ²ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ Π΄Π»Ρ Π»ΡΠ±ΠΎΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
ΠΈ Π²Π½Π΅ΡΠ½ΠΈΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² Π±ΠΈΠ·Π½Π΅Ρ-ΡΡΠ΅Π΄Ρ. ΠΠ΅ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²ΠΎΠΌ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΡΡΠΈΡΠ°ΡΡ ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΠΌΠΎΡΡΡ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ Π½Π΅Π±ΠΎΠ»ΡΡΠΈΡ
Π·Π°ΡΡΠ°Ρ Π½Π° ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅
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