Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mikko Harju"'
Publikováno v:
Defence Technology, Vol 15, Iss 1, Pp 38-50 (2019)
This paper introduces a novel approach for controlling the exterior ballistic properties of spin-stabilized bullets by optimizing their internal mass distributions. Specifically, the properties of interest are the bullets’ stability characteristics
Externí odkaz:
https://doaj.org/article/735e0adadabf41898e7a251951b211e5
Publikováno v:
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 275(1):167-181
This paper advances the theoretical foundations and the methodology of spatial decision analysis in which multi-attribute consequences of decision alternatives vary over a spatial region. First, we introduce necessary and sufficient conditions for re
Publikováno v:
Defence Technology, Vol 15, Iss 1, Pp 38-50 (2019)
This paper introduces a novel approach for controlling the exterior ballistic properties of spin-stabilized bullets by optimizing their internal mass distributions. Specifically, the properties of interest are the bullets’ stability characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89fc72eede7706ab86ede4af078a9e16
https://aaltodoc.aalto.fi/handle/123456789/42970
https://aaltodoc.aalto.fi/handle/123456789/42970
The utilization of dynamic Bayesian networks (DBNs) in simulation metamodeling enables the investigation of the time evolution of state variables of a simulation model. DBN metamodels have previously described the changes in the probability distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab7b2a0ad40431e1673d377d115dc563
https://doi.org/10.3384/ecp17142619
https://doi.org/10.3384/ecp17142619
Publikováno v:
2017 European Radar Conference (EURAD).
The optimal use of a surveillance radar system requires proper understanding about the system behavior in different configurations, modes, and operating conditions. This paper proposes a machine learning framework for producing and validating the per
Publikováno v:
2017 IEEE Radar Conference (RadarConf).
The objective of the radar performance prediction is to compute quantities of interest concerning the ability of the radar to observe its surroundings. Besides the properties of the radar system, the performance is affected by the target, whose radar
Publikováno v:
ICASSP
This paper introduces two approximations of the Kullback-Leibler divergence for hidden Markov models (HMMs). The first one is a generalization of an approximation originally presented for HMMs with discrete observation densities. In that case, the HM
Publikováno v:
ICASSP
In this paper, two techniques are researched for Jacobian adaptation (JA) in the presence of additive noise. Since the original concept of JA was presented only for static cepstral coefficients, the performance of JA is researched when it is extended
Publikováno v:
7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Publikováno v:
6th European Conference on Speech Communication and Technology (Eurospeech 1999).