نتایج جستجو برای: direct kinematic model dkm

تعداد نتایج: 2471110  

2011
J. Ramírez A. Rubiano

In this paper the direct kinematic model of a multiple applications three degrees of freedom industrial manipulator, was developed using the homogeneous transformation matrices and the Denavit Hartenberg parameters, likewise the inverse kinematic model was developed using the same method, verifying that in the workload border the inverse kinematic presents considerable errors, therefore a genet...

Journal: :iranian journal of medical physics 0
hadi kalani center of excellence on soft computing and intelligent information processing (sciip) department of mechanical engineering, ferdowsi university of mashhad, mashhad, iran alireza akbarzadeh center of excellence on soft computing and intelligent information processing (sciip) department of mechanical engineering, ferdowsi university of mashhad, mashhad, iran sahar moghimi center of excellence on soft computing and intelligent information processing (sciip) department of electrical engineering, ferdowsi university of mashhad, mashhad, iran

introduction we aimed to introduce a 6-universal-prismatic-spherical (ups) parallel mechanism for the human jaw motion and theoretically evaluate its kinematic problem. we proposed a strategy to provide a fast and accurate solution to the kinematic problem. the proposed strategy could accelerate the process of solution-finding for the direct kinematic problem by reducing the number of required ...

2008
Porfírio P. Filipe Nuno J. Mamede

This paper presents a knowledge modeling approach to improve domain-independency in Spoken Dialogue Systems (SDS) architectures. We aim to support task oriented dialogue management strategies via an easy to use interface provided by an adaptive Domain Knowledge Manager (DKM). DKM is a broker that centralizes the knowledge of the domain using a Knowledge Integration Process (KIP) that merges on-...

2003
Roberta Cuel Matteo Bonifacio Mirko Grosselle

In our work a new approach, the Distributed Knowledge Management (DKM) approach, is used and organizations are seen as constellations of communities, which “own” local knowledge and exchange it through meaning negotiation coordination processes. In order to reify communities within a DKM system, the concept of Knowledge Node (KN) is used and then applied in a case study: a complex Italian natio...

Journal: :Combustion and Flame 2022

A three-dimensional reactive multi-phase particle-in-cell (MP-PIC) model is employed to investigate biomass combustion and gasification in fluidized bed furnaces. The MP-PIC considered here based on a coarse grain method (CGM) which clusters fuel sand particles into parcels. CGM computationally efficient, however, it can cause numerical instability if the clustered parcels are passing through s...

2014
Zeinab G. Khalil Xiao-cong Huang Ritesh Raju Andrew M. Piggott Robert J. Capon

Chemical analysis of an Australian marine sediment-derived Aspergillus sp. (CMB-M081F) yielded the new diketomorpholine (DKM) shornephine A (1) together with two known and one new diketopiperazine (DKP), 15b-β-hydroxy-5-N-acetyladreemin (2), 5-N-acetyladreemin (3), and 15b-β-methoxy-5-N-acetyladreemin (4), respectively. Structure elucidation of 1-4 was achieved by detailed spectroscopic analysi...

Introduction we aimed to introduce a 6-universal-prismatic-spherical (UPS) parallel mechanism for the human jaw motion and theoretically evaluate its kinematic problem. We proposed a strategy to provide a fast and accurate solution to the kinematic problem. The proposed strategy could accelerate the process of solution-finding for the direct kinematic problem by reducing the number of required ...

2007
Porfírio P. Filipe Luís Morgado Nuno J. Mamede

This paper describes the recent effort to improve our Domain Knowledge Manager (DKM) that is part of a mixed-initiative task based Spoken Dialogue System (SDS) architecture, namely to interact within an ambient intelligence scenario. Machine-learning applied to SDS dialogue management strategy design is a growing research area. Training of such strategies can be done using human users or using ...

2008
Céline Scheidt

The experimental design methodology is widely used to quantify uncertainty in the oil and gas industry. This technique is adapted for uncertainty quantification on non-spatial parameters, such as bubble point pressure, oil viscosity, and aquifer strength. However, it is not well adapted for the case of geostatistical (spatial) uncertainty, due to the discrete nature of many input parameters as ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز 0

a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...

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